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Brief Report  |   May 2013
Occupational Therapy for Patients With Acute Lung Injury: Factors Associated With Time to First Intervention in the Intensive Care Unit
Victor D. Dinglas; Elizabeth Colantuoni; Nancy Ciesla; Pedro A. Mendez-Tellez; Carl Shanholtz; Dale M. Needham
Author Affiliations
  • Victor D. Dinglas, MPH, is Senior Research Program Supervisor, Division of Pulmonary and Critical Care Medicine and Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore
  • Elizabeth Colantuoni, PhD, is Assistant Scientist, Department of Biostatistics and OACIS Group, Johns Hopkins University, Baltimore
  • Nancy Ciesla, PT, DPT, is Research Physical Therapist, Division of Pulmonary and Critical Care Medicine and OACIS Group, Johns Hopkins University, Baltimore
  • Pedro A. Mendez-Tellez, MD, is Assistant Professor, Department of Anesthesiology and Critical Care Medicine and OACIS Group, Johns Hopkins University, Baltimore
  • Carl Shanholtz, MD, is Associate Professor, Division of Pulmonary and Critical Care Medicine, University of Maryland, Baltimore
  • Dale M. Needham, FCA, MD, PhD, is Associate Professor, Division of Pulmonary and Critical Care Medicine, Department of Physical Medicine and Rehabilitation, and OACIS Group, Johns Hopkins University, 1830 East Monument Street, 5th Floor, Baltimore, MD 21205; dale.needham@jhmi.edu
Article Information
Cardiopulmonary Conditions / Departments
Brief Report   |   May 2013
Occupational Therapy for Patients With Acute Lung Injury: Factors Associated With Time to First Intervention in the Intensive Care Unit
American Journal of Occupational Therapy, May/June 2013, Vol. 67, 355-362. doi:10.5014/ajot.2013.007807
American Journal of Occupational Therapy, May/June 2013, Vol. 67, 355-362. doi:10.5014/ajot.2013.007807
Abstract

OBJECTIVE. Very early occupational therapy intervention in the intensive care unit (ICU) improves patients’ physical recovery. We evaluated the association of patient, ICU, and hospital factors with time to first occupational therapy intervention in ICU patients with acute lung injury (ALI).

METHOD. We conducted a prospective cohort study of 514 consecutive patients with ALI from 11 ICUs in three hospitals in Baltimore, MD.

RESULTS. Only 30% of patients ever received occupational therapy during their ICU stay. Worse organ failure, continuous hemodialysis, and uninterrupted continuous infusion of sedation were independently associated with delayed occupational therapy initiation, and hospital study site and admission to a trauma ICU were independently associated with earlier occupational therapy.

CONCLUSION. Severity of illness and ICU practices for sedation administration were associated with delayed occupational therapy. Both hospital study site and type of ICU were independently associated with timing of occupational therapy, indicating modifiable environmental factors for promoting early occupational therapy in the ICU.

With the population aging, utilization of critical care services is expected to increase (Carson, Cox, Holmes, Howard, & Carey, 2006; Needham, Bronskill, et al., 2005) while intensive care unit (ICU) mortality decreases (Lilly, Zuckerman, Badawi, & Riker, 2011). Hence, there is a growing pool of survivors of critical illness who frequently have long-term ICU-related neuromuscular problems, including muscle weakness, joint contractures, and impairment in activities of daily living (ADLs; Burtin et al., 2009; Clavet, Hébert, Fergusson, Doucette, & Trudel, 2008; De Jonghe et al., 2002; Latronico, Shehu, & Seghelini, 2005; Vest, Murphy, Araujo, & Pisani, 2011; Zanni et al., 2010). These impairments are particularly common and severe for survivors of severe critical illness, including patients with acute respiratory failure or acute lung injury (ALI) and acute respiratory distress syndrome (Barnato, Albert, Angus, Lave, & Degenholtz, 2011; Bienvenu et al., 2012; Desai, Law, & Needham, 2011; Herridge et al., 2003, 2011; Wunsch et al., 2010).
As a consequence of these important issues, the focus on introducing early rehabilitation interventions in the ICU to improve patients’ long-term outcomes is increasing (Herridge, 2009; Needham, 2008; Needham et al., 2012; Rubenfeld, 2007). Studies of early rehabilitation interventions in the ICU have demonstrated safety, feasibility, and improved patient outcomes (Adler & Malone, 2012; Bailey et al., 2007; Burtin et al., 2009; Morris et al., 2008; Pohlman et al., 2010). In particular, in a randomized controlled trial of early (vs. later) occupational and physical therapy, initiated at a median of 1.5 (vs. 7.4) days after the start of mechanical ventilation, patients demonstrated significantly improved physical function at hospital discharge (Schweickert et al., 2009). Despite this evidence, early rehabilitation has not yet been widely adopted in many ICUs (Bahadur, Jones, & Ntoumenopoulos, 2008; Gosselink et al., 2008; O’Connor & Walsham, 2009).
Understanding factors associated with the timing of rehabilitation therapy in the ICU can help in understanding barriers to earlier therapy. As such, our objective was to evaluate the association of patient, ICU, and hospital factors with the time to first occupational therapy intervention in the ICU in a prospective cohort of mechanically ventilated patients with ALI.
Method
Research Design
This research was conducted as part of a prospective cohort study of patients with ALI (Needham, Dennison, et al., 2005). This study was approved by the institutional review boards (IRBs) of all participating institutions. All IRBs approved a waiver of consent permitting collection of observational data without informed consent.
Participants
We enrolled consecutive mechanically ventilated patients meeting standard ALI diagnostic criteria (Bernard et al., 1994). Exclusion criteria included (1) limitations in care at the time of study enrollment (such as no vasopressors), (2) >5 days of mechanical ventilation before study eligibility, (3) baseline language or communication barrier, (4) preexisting cognitive impairment, and (5) preexisting illness with a life expectancy of <6 mo.
Outcome Variable
The outcome variable for this analysis was the time from ALI onset (i.e., study enrollment) to first occupational therapy intervention during the ICU admission for ALI. We collected dates of occupational therapy interventions from medical records based on standardized documentation procedures used at each study site hospital. Occupational therapy interventions were defined specifically as excluding interventions that exclusively involved only splinting, bracing, or passive positioning to evaluate factors associated with interventions typically considered part of early rehabilitation activities in the ICU (Korupolu, Gifford, & Needham, 2009).
Exposure Variables
Exposures evaluated for association with time to first occupational therapy intervention in the ICU were grouped into patient, ICU, and hospital factors. Patient factors, abstracted from the medical record, included the following: demographics (age, sex, and race), body mass index, ICU admission diagnosis, and prehospitalization comorbidity status using the Functional Comorbidity Index (Groll, To, Bombardier, & Wright, 2005). We used the Acute Physiology and Chronic Health Evaluation II (APACHE II) score to assess the severity of illness within the first 24 hr of ICU admission (Knaus, Draper, Wagner, & Zimmerman, 1985). Time-varying patient factors, measured daily in the ICU, included the following: organ failure status (using Sequential Organ Failure Assessment [SOFA] score; Vincent et al., 1996), use of continuous hemodialysis, delirium status (not delirious, delirious, or comatose) using the validated Confusion Assessment Method for the Intensive Care Unit (Ely et al., 2001), and mechanical ventilation status and fraction of inspired oxygen (FiO2). ICU-related factors evaluated included type of ICU (medical, surgical, trauma) and daily interruption of sedation medication infusions (Kress, Pohlman, O’Connor, & Hall, 2000). We evaluated hospital study site as a hospital-related factor.
Missing Data
Delirium assessments were not always available for reasons such as the patient being unavailable and a weekend or holiday period without research staff coverage to perform the prospective assessments. To address these missing data and maintain the study sample size for statistical analyses, we used multiple imputation methods (Rubin, 1987) that allowed us to impute (i.e., predict) missing delirium status on days on which data were not collected. The imputed values were based on a logistic regression model for delirium status as a function of clinically relevant predictors of delirium. As per standard methods for multiple imputation, these imputed values were calculated to create five datasets with no missing data.
Data Collection
We collected patient demographic data, prehospitalization comorbidities, ICU admission diagnosis and severity of illness, and daily ICU data from the medical record after study enrollment (Needham et al., 2007). Delirium assessments were conducted daily by trained research staff. All data collectors underwent didactic training on the data collection forms and procedures documented in study operation manuals (Needham, Dennison, et al., 2005). Collectors were required to pass initial quality assurance reviews by the lead study investigator or coordinator before they collected data independently. Routine quality assurance reviews were conducted throughout the data collection period of the study.
Data Analysis
Descriptive statistics were calculated with comparisons performed using χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. We used χ2 and Fisher’s exact tests to compare the proportion of participants who received occupational therapy across levels of categorical exposure. The Wilcoxon rank-sum test compared the distribution of continuous exposures for participants who did and did not receive occupational therapy. Exposures were continually assessed up to the earliest study endpoint, defined as the day the patient received the first occupational therapy intervention, died, or was discharged from the ICU (censoring).
Fine and Gray (1999)  proportional subdistribution hazards regression was used for analysis of the primary outcome. This methodology appropriately accounts for the competing risk of death in analyzing the time until first occupational therapy intervention because patients with greater severity of illness are both less likely to receive occupational therapy and more likely to die (Varadhan et al., 2010). This statistical regression model estimates the association of exposures with the time until a first occupational therapy intervention and provides a statistical measure known as a hazard ratio (HR). For a specific exposure, an HR >1 indicates that a first occupational therapy intervention in the ICU is more likely to occur and an HR <1 indicates that a first occupational therapy intervention is less likely to occur. The daily patient exposures (SOFA score, delirium status, sedation interruption, mechanical ventilation status, and FiO2) were appropriately treated in the regression analysis as time-varying variables.
Bivariate models were fit, and the results were averaged over the imputed datasets using Rubin’s (1987) method. The final regression model included all exposures that had a bivariate association with time to occupational therapy at p ≤ .15. Cumulative incidence function curves were created by first fitting this final regression model to each of the five imputed delirium datasets and obtaining the average cumulative incidence. The proportional hazard assumption for each exposure was evaluated by visually inspecting the plot of Schoenfeld (1982)  residuals versus time. After inspection of the plots, interaction terms were created for exposures that have potential nonproportional hazards over time. However, these interaction terms were nonsignificant (p > .05) and, hence, not included in the final multivariate model. The absence of multicollinearity was confirmed using variance inflation factors (Hamilton, 2009). Statistical significance was defined as two-sided p < .05. Statistical analyses were performed using STATA 12.0 software (Stata Corporation, College Station, TX) and R (R Development Core Team, 2011).
Results
The analysis included data for 514 consecutive eligible patients enrolled from 11 ICUs at three academic hospitals in Baltimore, MD, from October 2004 to October 2007. Of these 514 patients, 154 (30%) received occupational therapy during the ICU stay for ALI. Table 1 presents patients’ characteristics and compares those who ever versus never received any occupational therapy intervention during their ICU stay for ALI. The two groups had significant differences in the distribution of ICU diagnoses, with 86% of those ever and 96% of those never receiving occupational therapy having medical diagnoses. Those who never received occupational therapy had significantly worse severity of illness at ICU admission, with a median APACHE II score of 28 (interquartile range [IQR] = 21–35) vs. 23 (IQR = 18–29; p < .001). Additionally, those who never received occupational therapy had worse SOFA scores, greater utilization of continuous hemodialysis, higher mean oxygen requirements, and greater proportion of days with coma (Table 1).
Table 1.
Baseline Characteristics, by ICU Occupational Therapy Status
Baseline Characteristics, by ICU Occupational Therapy Status×
FactorsAll, N = 514 (100%)Ever Occupational Therapy, n = 154 (30%)Never Occupational Therapy, n = 360 (70%)pa
Patient Factors
Age, yr, median (IQR)52 (42–63)52 (42–62)52 (42–64).500
Female, n (%)228 (44)66 (43)162 (45).363
White, n (%)306 (59)94 (61)212 (59).695
BMI, median (IQR)27 (23–32)27 (23–32)27 (23–33).798
ICU admission diagnosis, n (%)<.001
 Medical480 (93)133 (86)347 (96)
 Trauma15 (3)12 (8)3 (1)
 Other19 (4)9 (6)10 (3)
Functional comorbidity index, median (IQR)1 (1–3)1 (0–3)1 (1–3).593
APACHE II at ICU admission, median (IQR)26 (20–33)23 (18–29)28 (21–35)<.001
Mean daily SOFA score, median (IQR)8 (5–12)7 (5–9)8 (5–14)<.001
Ever on continuous hemodialysis, n (%)127 (25)18 (12)109 (30)<.001
Proportion of ICU days with delirium or coma per patient, median (IQR)b
 No delirium0 (0–17)0 (0–21)0 (0–14).185
 Delirium23 (0–48)34 (9–56)17 (0–40)<.001
 Comatose50 (17–81)35 (7–60)56 (29–88)<.001
Proportion of ICU days on mechanical ventilation, median (IQR)100 (83–100)100 (89–100)100 (83–100).040
Mean daily FiO2, median (IQR)56 (47–67)52 (44–62)58 (47–71)<.001
ICU Factors
ICU admission type, n (%)<.001
 Medical426 (83)101 (66)325 (90)
 Surgical65 (13)33 (21)32 (9)
 Trauma23 (4)20 (13)3 (1)
Proportion of ICU days per patient by infusion status, median (IQR)
No sedative infusion25 (0–6)20 (0–56)28 (0–57).189
Infusion without interruption50 (25–75)50 (27–70)50 (25–75).807
Infusion with interruption14 (0–29)17 (0–31)13 (0–25).006
Hospital Factor
Hospital study site, n (%)<.001
 Site 1191 (37)39 (25)152 (42)
 Site 2166 (32)24 (16)142 (39)
 Site 3157 (30)91 (59)66 (18)
Table Footer NoteNote. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.
Note. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaComparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.
Comparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.×
View Large
Table 1.
Baseline Characteristics, by ICU Occupational Therapy Status
Baseline Characteristics, by ICU Occupational Therapy Status×
FactorsAll, N = 514 (100%)Ever Occupational Therapy, n = 154 (30%)Never Occupational Therapy, n = 360 (70%)pa
Patient Factors
Age, yr, median (IQR)52 (42–63)52 (42–62)52 (42–64).500
Female, n (%)228 (44)66 (43)162 (45).363
White, n (%)306 (59)94 (61)212 (59).695
BMI, median (IQR)27 (23–32)27 (23–32)27 (23–33).798
ICU admission diagnosis, n (%)<.001
 Medical480 (93)133 (86)347 (96)
 Trauma15 (3)12 (8)3 (1)
 Other19 (4)9 (6)10 (3)
Functional comorbidity index, median (IQR)1 (1–3)1 (0–3)1 (1–3).593
APACHE II at ICU admission, median (IQR)26 (20–33)23 (18–29)28 (21–35)<.001
Mean daily SOFA score, median (IQR)8 (5–12)7 (5–9)8 (5–14)<.001
Ever on continuous hemodialysis, n (%)127 (25)18 (12)109 (30)<.001
Proportion of ICU days with delirium or coma per patient, median (IQR)b
 No delirium0 (0–17)0 (0–21)0 (0–14).185
 Delirium23 (0–48)34 (9–56)17 (0–40)<.001
 Comatose50 (17–81)35 (7–60)56 (29–88)<.001
Proportion of ICU days on mechanical ventilation, median (IQR)100 (83–100)100 (89–100)100 (83–100).040
Mean daily FiO2, median (IQR)56 (47–67)52 (44–62)58 (47–71)<.001
ICU Factors
ICU admission type, n (%)<.001
 Medical426 (83)101 (66)325 (90)
 Surgical65 (13)33 (21)32 (9)
 Trauma23 (4)20 (13)3 (1)
Proportion of ICU days per patient by infusion status, median (IQR)
No sedative infusion25 (0–6)20 (0–56)28 (0–57).189
Infusion without interruption50 (25–75)50 (27–70)50 (25–75).807
Infusion with interruption14 (0–29)17 (0–31)13 (0–25).006
Hospital Factor
Hospital study site, n (%)<.001
 Site 1191 (37)39 (25)152 (42)
 Site 2166 (32)24 (16)142 (39)
 Site 3157 (30)91 (59)66 (18)
Table Footer NoteNote. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.
Note. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaComparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.
Comparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.×
×
The 154 patients who received occupational therapy interventions during their ICU stay had 551 days with at least one occupational therapy intervention, representing 16% of all their ICU days. The median number of occupational therapy visits per patient was 2 (IQR = 1–4) and the median duration of treatment was 30 min (IQR = 25–45). Patients could have more than one type of treatment coded during an occupational therapy visit, with the most common treatments being upper-extremity exercise (43%), range of motion (passive, passive–assistive, or active; 32%), ADL training (31%), and functional mobility (15%).
The number of days to the first occupational therapy intervention, death, or discharge from the ICU was not significantly different between those who ever (median = 8.5 days, range = 6–13) versus never (median = 8 days, range = 4–13) received occupational therapy. Table 2 shows the results of the multivariate regression analysis demonstrating several patient, ICU, and hospital factors independently associated with time to first occupational therapy intervention. Worse organ failure, as indicated by a higher SOFA score or ever receiving continuous hemodialysis, was associated with a longer time until occupational therapy intervention, with relative HRs of 0.91 (95% confidence interval [CI] [0.87, 0.94]) and 0.53 (95% CI [0.31, 0.92]) for those ever versus never receiving occupational therapy, respectively.
Table 2.
Factors Associated With Time to Initiating Occupational Therapy in the ICU
Factors Associated With Time to Initiating Occupational Therapy in the ICU×
Unadjusted
Adjusted
FactorHazard Ratio95% Confidence IntervalpHazard Ratio95% Confidence Intervalp
Patient Factors
Age, yr0.99[0.98, 1.00].1251.00[0.99, 1.01].432
Female0.88[0.65, 1.21].440
White (vs. non-White)1.05[0.76, 1.43].780
BMI0.99[0.97, 1.01].233
ICU admission diagnosis
 Medical (Ref.)1.001.00
 Trauma5.47[2.74, 10.87]<.0011.15[0.39, 3.41].790
 Other3.89[1.86, 8.14]<.0012.81[1.14, 6.89].024
Functional comorbidity index0.97[0.88, 1.07].591
APACHE II at ICU admission0.94[0.92, 0.96]<.0011.01[0.98, 1.03].599
Daily SOFA score0.85[0.83, 0.88]<.0010.91[0.87, 0.94]<.001
Ever on continuous hemodialysis0.28[0.18, 0.45]<.0010.53[0.31, 0.92].025
Delirium statusa
 No delirium (Ref.)1.001.00
 Delirium0.53[0.32, 0.87].0140.87[0.53, 1.43].577
Comatose0.21[0.13, 0.35]<.0010.65[0.37, 1.13].127
Daily mechanical ventilation status0.26[0.19, 0.37]<.0010.73[0.47, 1.13].156
FiO2 received1.00[0.99, 1.00].315
ICU Factors
ICU admission type
 Medical (Ref.)1.001.00
 Surgical2.62[1.77, 3.87]<.0011.37[0.87, 2.14].173
 Trauma8.22[4.69, 14.42]<.0013.82[1.54, 9.49].004
Sedative interruption
 No sedative infusion (Ref.)1.001.00
 Infusion without interruption0.37[0.25, 0.53]<.0010.44[0.29, 0.67]<.001
 Infusion with interruption0.74[0.48, 1.16].1890.64[0.39, 1.06].082
Hospital Factor
Hospital study site
 Site 1 (Ref.)1.001.00
 Site 20.65[0.40, 1.06].0870.44[0.27, 0.72].001
 Site 33.75[2.59, 5.42]<.0011.90[1.24, 2.92].003
Table Footer NoteNote. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.
Note. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaMissing data imputed using multiple imputation (Rubin, 1987).
Missing data imputed using multiple imputation (Rubin, 1987).×
View Large
Table 2.
Factors Associated With Time to Initiating Occupational Therapy in the ICU
Factors Associated With Time to Initiating Occupational Therapy in the ICU×
Unadjusted
Adjusted
FactorHazard Ratio95% Confidence IntervalpHazard Ratio95% Confidence Intervalp
Patient Factors
Age, yr0.99[0.98, 1.00].1251.00[0.99, 1.01].432
Female0.88[0.65, 1.21].440
White (vs. non-White)1.05[0.76, 1.43].780
BMI0.99[0.97, 1.01].233
ICU admission diagnosis
 Medical (Ref.)1.001.00
 Trauma5.47[2.74, 10.87]<.0011.15[0.39, 3.41].790
 Other3.89[1.86, 8.14]<.0012.81[1.14, 6.89].024
Functional comorbidity index0.97[0.88, 1.07].591
APACHE II at ICU admission0.94[0.92, 0.96]<.0011.01[0.98, 1.03].599
Daily SOFA score0.85[0.83, 0.88]<.0010.91[0.87, 0.94]<.001
Ever on continuous hemodialysis0.28[0.18, 0.45]<.0010.53[0.31, 0.92].025
Delirium statusa
 No delirium (Ref.)1.001.00
 Delirium0.53[0.32, 0.87].0140.87[0.53, 1.43].577
Comatose0.21[0.13, 0.35]<.0010.65[0.37, 1.13].127
Daily mechanical ventilation status0.26[0.19, 0.37]<.0010.73[0.47, 1.13].156
FiO2 received1.00[0.99, 1.00].315
ICU Factors
ICU admission type
 Medical (Ref.)1.001.00
 Surgical2.62[1.77, 3.87]<.0011.37[0.87, 2.14].173
 Trauma8.22[4.69, 14.42]<.0013.82[1.54, 9.49].004
Sedative interruption
 No sedative infusion (Ref.)1.001.00
 Infusion without interruption0.37[0.25, 0.53]<.0010.44[0.29, 0.67]<.001
 Infusion with interruption0.74[0.48, 1.16].1890.64[0.39, 1.06].082
Hospital Factor
Hospital study site
 Site 1 (Ref.)1.001.00
 Site 20.65[0.40, 1.06].0870.44[0.27, 0.72].001
 Site 33.75[2.59, 5.42]<.0011.90[1.24, 2.92].003
Table Footer NoteNote. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.
Note. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaMissing data imputed using multiple imputation (Rubin, 1987).
Missing data imputed using multiple imputation (Rubin, 1987).×
×
Among ICU factors, admission to a trauma ICU (vs. a medical ICU) was associated with shorter time to an initial occupational therapy intervention (HR = 3.82, 95% CI [1.54, 9.49]). Figure 1 shows the adjusted cumulative incidence of initial occupational therapy intervention by type of ICU. In addition, compared with receiving no sedative infusions, uninterrupted sedation infusions were associated with a longer time to first occupational therapy treatment, particularly when sedation infusions were not interrupted daily (HR = 0.44, 95% CI [0.29, 0.67]). Independent of these patient and ICU factors, hospital site was also associated with time to first occupational therapy intervention. Compared with hospital Site 1, admission to Site 2 was associated with delayed occupational therapy with a relative HR of 0.44 (95% CI [0.27, 0.72]), whereas admission to Site 3 was associated with earlier time to occupational therapy (HR = 1.90, 95% CI [1.24, 2.92]). Figure 2 illustrates the differing adjusted cumulative incidence of occupational therapy in the ICU among the three hospital sites.
Figure 1.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Full Size  |  Slide (.ppt)
Figure 1.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Full Size  |  Slide (.ppt)
×
Figure 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Full Size  |  Slide (.ppt)
Figure 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Full Size  |  Slide (.ppt)
×
Discussion
In this prospective cohort of 514 consecutive patients with ALI from 11 ICUs in three academic hospitals, only 30% ever received any occupational therapy intervention during their ICU stay. Severity of patients’ critical illness, including increased organ failure and receiving continuous hemodialysis, was associated with delayed initiation of occupational therapy. Independent of these factors, ICU sedation practice, ICU type, and hospital site were also associated with timing of occupational therapy initiation.
In this study of patients with ALI, severity of illness was associated with delayed initiation of occupational therapy in the ICU. For example, use of continuous hemodialysis was associated with delayed occupational therapy initiation. However, others have shown that some ICU patients receiving continuous hemodialysis can receive rehabilitation (Hopkins & Spuhler, 2009). Recent studies of mechanically ventilated ICU patients have consistently demonstrated the safety of early rehabilitation in the ICU (Bailey et al., 2007; Burtin et al., 2009; Morris et al., 2008; Needham & Korupolu, 2010; Needham et al., 2010; Pohlman et al., 2010; Schweickert et al., 2009). Training and education may help overcome perceived barriers of critical illness in initiating earlier occupational therapy interventions in the ICU.
Sedation practices often vary between ICUs with variable uptake in the implementation of evidence-based daily interruption of sedative infusions (Kress et al., 2000). Deep sedation and use of sedatives are recognized as important barriers associated with delayed rehabilitation in the ICU (Thomsen, Snow, Rodriguez, & Hopkins, 2008; Zanni et al., 2010). Minimizing sedation is an important step in optimizing patients’ eligibility for early rehabilitation (Desai et al., 2011; Hopkins & Spuhler, 2009; Needham, 2008; Needham et al., 2010; Schweickert et al., 2009).
Despite accounting for these significant patient factors and ICU sedation factors, ICU type and hospital site were each significantly associated with time to first occupational therapy intervention in the ICU. These findings suggest that culture or attitude toward rehabilitation might be different among types of ICU. Changing ICU culture to embrace and prioritize early rehabilitation is a critical step to successful adoption of early rehabilitation programs in the ICU (Bailey, Miller, & Clemmer, 2009; Hopkins & Spuhler, 2009; Needham & Korupolu, 2010). Results may also be affected by differences in occupational staffing in specific ICUs. Occupational therapists may draw on results of this study to help effect evidence-based communication and promotion of occupational therapy’s role (Ciro, 2011), especially in creating multidisciplinary early rehabilitation teams in the ICU (Needham et al., 2010; Schweickert et al., 2009).
Limitations and Future Research
This study has some potential limitations. First, because the study was observational, causality cannot be established between these patients and institutional factors with time to first occupational therapy intervention. However, certain factors (e.g., severity of illness) are not amenable to randomization to more clearly determine causality using a controlled trial. Moreover, our observed associations appear credible given their consistency with previously postulated barriers from other studies (Bailey et al., 2009; Garnacho-Montero et al., 2001; Hopkins & Spuhler, 2009). Our study is unique in providing empirical evaluation of these barriers to early occupational therapy intervention.
Second, results from this study might not be generalizable because all participating ICUs were in academic hospitals within a single city. Additionally, only patients with ALI were enrolled in this study, and they are not representative of a general ICU cohort because of their high severity of illness. However, we enrolled a total of 514 consecutive patients over a 3-yr period from 11 ICUs at three hospitals, which provides some strength for external validity over smaller single-site evaluations and allowed for some heterogeneity in terms of patient factors and different cultures in the participating hospitals and ICUs. Evaluation in other settings should be undertaken to further evaluate the generalizability of these findings.
Third, the study did not include any data on occupational therapist staffing or ICU culture regarding early rehabilitation in each hospital or ICU. However, no participating ICU or hospital had an early rehabilitation program at the time this study was conducted. More research is needed to further explore the role of ICU staffing and culture in facilitating early occupational therapy rehabilitation. Despite these potential limitations, this study contributes further evidence regarding factors that could affect early occupational therapy intervention in the ICU setting.
Implications for Occupational Therapy Practice

  • In this multisite study of patients with ALI, we found that only a small proportion of patients had any occupational therapy intervention during their ICU stay.

  • Severity of patients’ critical illness was a barrier to initiating occupational therapy interventions in the ICU.

  • Even after adjusting for severity of illness, ICU and hospital factors were associated with timing of occupational therapy initiation, suggesting that the ICU and hospital environment may be modifiable factors to successfully introduce early rehabilitation in the ICU.

Conclusion
In our multisite cohort of patients with ALI, only 30% ever received any occupational therapy intervention during their ICU stay. Patient severity of illness was independently associated with delayed occupational therapy. In addition, ICU sedation practices, type of ICU, and hospital study site also were independently associated with timing of occupational therapy. ICU and hospital practices and culture are potentially modifiable factors to promote earlier rehabilitation in the ICU.
Acknowledgments
This research was supported by National Institutes of Health Acute Lung Injury Specialized Centers of Clinically Oriented Research Grant P050 HL 73994. The funding bodies had no role in the study design, writing of the article, or decision to submit the article for publication. The authors have not disclosed any potential conflicts of interest.
We thank all patients who participated in the study. We acknowledge Benjamin Althouse and Jonathan Gellar, who assisted with statistical analyses for multiple imputation of missing data, and David M. Shade, who critically reviewed a draft of the article.
References
Adler, J., & Malone, D. (2012). Early mobilization in the intensive care unit: A systematic review. Cardiopulmonary Physical Therapy Journal, 23, 5–13. [PubMed]
Adler, J., & Malone, D. (2012). Early mobilization in the intensive care unit: A systematic review. Cardiopulmonary Physical Therapy Journal, 23, 5–13. [PubMed]×
Bahadur, K., Jones, G., & Ntoumenopoulos, G. (2008). An observational study of sitting out of bed in tracheostomised patients in the intensive care unit. Physiotherapy, 94, 300–305. http://dx.doi.org/10.1016/j.physio.2008.08.003 [Article]
Bahadur, K., Jones, G., & Ntoumenopoulos, G. (2008). An observational study of sitting out of bed in tracheostomised patients in the intensive care unit. Physiotherapy, 94, 300–305. http://dx.doi.org/10.1016/j.physio.2008.08.003 [Article] ×
Bailey, P. P., Miller, R. R., 3rd, & Clemmer, T. P. (2009). Culture of early mobility in mechanically ventilated patients. Critical Care Medicine, 37(Suppl.), S429–S435. http://dx.doi.org/10.1097/CCM.0b013e3181b6e227 [Article] [PubMed]
Bailey, P. P., Miller, R. R., 3rd, & Clemmer, T. P. (2009). Culture of early mobility in mechanically ventilated patients. Critical Care Medicine, 37(Suppl.), S429–S435. http://dx.doi.org/10.1097/CCM.0b013e3181b6e227 [Article] [PubMed]×
Bailey, P., Thomsen, G. E., Spuhler, V. J., Blair, R., Jewkes, J., Bezdjian, L., … Hopkins, R. O. (2007). Early activity is feasible and safe in respiratory failure patients. Critical Care Medicine, 35, 139–145. http://dx.doi.org/10.1097/01.CCM.0000251130.69568.87 [Article] [PubMed]
Bailey, P., Thomsen, G. E., Spuhler, V. J., Blair, R., Jewkes, J., Bezdjian, L., … Hopkins, R. O. (2007). Early activity is feasible and safe in respiratory failure patients. Critical Care Medicine, 35, 139–145. http://dx.doi.org/10.1097/01.CCM.0000251130.69568.87 [Article] [PubMed]×
Barnato, A. E., Albert, S. M., Angus, D. C., Lave, J. R., & Degenholtz, H. B. (2011). Disability among elderly survivors of mechanical ventilation. American Journal of Respiratory and Critical Care Medicine, 183, 1037–1042. http://dx.doi.org/10.1164/rccm.201002-0301OC [Article] [PubMed]
Barnato, A. E., Albert, S. M., Angus, D. C., Lave, J. R., & Degenholtz, H. B. (2011). Disability among elderly survivors of mechanical ventilation. American Journal of Respiratory and Critical Care Medicine, 183, 1037–1042. http://dx.doi.org/10.1164/rccm.201002-0301OC [Article] [PubMed]×
Bernard, G. R., Artigas, A., Brigham, K. L., Carlet, J., Falke, K., Hudson, L., … Spragg, R. (1994). The American-European Consensus Conference on ARDS: Definitions, mechanisms, relevant outcomes, and clinical trial coordination. American Journal of Respiratory and Critical Care Medicine, 149, 818–824. [Article] [PubMed]
Bernard, G. R., Artigas, A., Brigham, K. L., Carlet, J., Falke, K., Hudson, L., … Spragg, R. (1994). The American-European Consensus Conference on ARDS: Definitions, mechanisms, relevant outcomes, and clinical trial coordination. American Journal of Respiratory and Critical Care Medicine, 149, 818–824. [Article] [PubMed]×
Bienvenu, O. J., Colantuoni, E., Mendez-Tellez, P. A., Dinglas, V. D., Shanholtz, C., Husain, N., … Needham, D. M. (2012). Depressive symptoms and impaired physical function after acute lung injury: A 2-year longitudinal study. American Journal of Respiratory and Critical Care Medicine, 185, 517–524. http://dx.doi.org/10.1164/rccm.201103-0503OC [Article] [PubMed]
Bienvenu, O. J., Colantuoni, E., Mendez-Tellez, P. A., Dinglas, V. D., Shanholtz, C., Husain, N., … Needham, D. M. (2012). Depressive symptoms and impaired physical function after acute lung injury: A 2-year longitudinal study. American Journal of Respiratory and Critical Care Medicine, 185, 517–524. http://dx.doi.org/10.1164/rccm.201103-0503OC [Article] [PubMed]×
Burtin, C., Clerckx, B., Robbeets, C., Ferdinande, P., Langer, D., Troosters, T., … Gosselink, R. (2009). Early exercise in critically ill patients enhances short-term functional recovery. Critical Care Medicine, 37, 2499–2505. http://dx.doi.org/10.1097/CCM.0b013e3181a38937 [Article] [PubMed]
Burtin, C., Clerckx, B., Robbeets, C., Ferdinande, P., Langer, D., Troosters, T., … Gosselink, R. (2009). Early exercise in critically ill patients enhances short-term functional recovery. Critical Care Medicine, 37, 2499–2505. http://dx.doi.org/10.1097/CCM.0b013e3181a38937 [Article] [PubMed]×
Carson, S. S., Cox, C. E., Holmes, G. M., Howard, A., & Carey, T. S. (2006). The changing epidemiology of mechanical ventilation: A population-based study. Journal of Intensive Care Medicine, 21, 173–182. http://dx.doi.org/10.1177/0885066605282784 [Article] [PubMed]
Carson, S. S., Cox, C. E., Holmes, G. M., Howard, A., & Carey, T. S. (2006). The changing epidemiology of mechanical ventilation: A population-based study. Journal of Intensive Care Medicine, 21, 173–182. http://dx.doi.org/10.1177/0885066605282784 [Article] [PubMed]×
Ciro, C. (2011). Enhancing our collective research acumen by using an epidemiological perspective. American Journal of Occupational Therapy, 65, 594–598. http://dx.doi.org/10.5014/ajot.2011.000703 [Article] [PubMed]
Ciro, C. (2011). Enhancing our collective research acumen by using an epidemiological perspective. American Journal of Occupational Therapy, 65, 594–598. http://dx.doi.org/10.5014/ajot.2011.000703 [Article] [PubMed]×
Clavet, H., Hébert, P. C., Fergusson, D., Doucette, S., & Trudel, G. (2008). Joint contracture following prolonged stay in the intensive care unit. Canadian Medical Association Journal, 178, 691–697. http://dx.doi.org/10.1503/cmaj.071056 [Article] [PubMed]
Clavet, H., Hébert, P. C., Fergusson, D., Doucette, S., & Trudel, G. (2008). Joint contracture following prolonged stay in the intensive care unit. Canadian Medical Association Journal, 178, 691–697. http://dx.doi.org/10.1503/cmaj.071056 [Article] [PubMed]×
De Jonghe, B., Sharshar, T., Lefaucheur, J. P., Authier, F. J., Durand-Zaleski, I., Boussarsar, M., … Bastuji-Garin, S.; Groupe de Réflexion et d’Etude des Neuromyopathies en Réanimation., (2002). Paresis acquired in the intensive care unit: A prospective multicenter study. JAMA, 288, 2859–2867. http://dx.doi.org/10.1001/jama.288.22.2859 [Article] [PubMed]
De Jonghe, B., Sharshar, T., Lefaucheur, J. P., Authier, F. J., Durand-Zaleski, I., Boussarsar, M., … Bastuji-Garin, S.; Groupe de Réflexion et d’Etude des Neuromyopathies en Réanimation., (2002). Paresis acquired in the intensive care unit: A prospective multicenter study. JAMA, 288, 2859–2867. http://dx.doi.org/10.1001/jama.288.22.2859 [Article] [PubMed]×
Desai, S. V., Law, T. J., & Needham, D. M. (2011). Long-term complications of critical care. Critical Care Medicine, 39, 371–379. http://dx.doi.org/10.1097/CCM.0b013e3181fd66e5 [Article] [PubMed]
Desai, S. V., Law, T. J., & Needham, D. M. (2011). Long-term complications of critical care. Critical Care Medicine, 39, 371–379. http://dx.doi.org/10.1097/CCM.0b013e3181fd66e5 [Article] [PubMed]×
Ely, E. W., Inouye, S. K., Bernard, G. R., Gordon, S., Francis, J., May, L., … Dittus, R.et al. (2001). Delirium in mechanically ventilated patients: Validity and reliability of the Confusion Assessment Method for the Intensive Care Unit (CAM–ICU). JAMA, 286, 2703–2710. http://dx.doi.org/10.1001/jama.286.21.2703 [Article] [PubMed]
Ely, E. W., Inouye, S. K., Bernard, G. R., Gordon, S., Francis, J., May, L., … Dittus, R.et al. (2001). Delirium in mechanically ventilated patients: Validity and reliability of the Confusion Assessment Method for the Intensive Care Unit (CAM–ICU). JAMA, 286, 2703–2710. http://dx.doi.org/10.1001/jama.286.21.2703 [Article] [PubMed]×
Fine, J. P., & Gray, R. T. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association, 94, 496–509. http://dx.doi.org/10.1080/01621459.1999.10474144 [Article]
Fine, J. P., & Gray, R. T. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association, 94, 496–509. http://dx.doi.org/10.1080/01621459.1999.10474144 [Article] ×
Garnacho-Montero, J., Madrazo-Osuna, J., García-Garmendia, J. L., Ortiz-Leyba, C., Jiménez-Jiménez, F. J., Barrero-Almodóvar, A., … Moyano-Del-Estad, M. R. (2001). Critical illness polyneuropathy: Risk factors and clinical consequences. A cohort study in septic patients. Intensive Care Medicine, 27, 1288–1296. http://dx.doi.org/10.1007/s001340101009 [Article] [PubMed]
Garnacho-Montero, J., Madrazo-Osuna, J., García-Garmendia, J. L., Ortiz-Leyba, C., Jiménez-Jiménez, F. J., Barrero-Almodóvar, A., … Moyano-Del-Estad, M. R. (2001). Critical illness polyneuropathy: Risk factors and clinical consequences. A cohort study in septic patients. Intensive Care Medicine, 27, 1288–1296. http://dx.doi.org/10.1007/s001340101009 [Article] [PubMed]×
Gosselink, R., Bott, J., Johnson, M., Dean, E., Nava, S., Norrenberg, M., … Vincent, J. L. (2008). Physiotherapy for adult patients with critical illness: Recommendations of the European Respiratory Society and European Society of Intensive Care Medicine Task Force on Physiotherapy for Critically Ill Patients. Intensive Care Medicine, 34, 1188–1199. http://dx.doi.org/10.1007/s00134-008-1026-7 [Article] [PubMed]
Gosselink, R., Bott, J., Johnson, M., Dean, E., Nava, S., Norrenberg, M., … Vincent, J. L. (2008). Physiotherapy for adult patients with critical illness: Recommendations of the European Respiratory Society and European Society of Intensive Care Medicine Task Force on Physiotherapy for Critically Ill Patients. Intensive Care Medicine, 34, 1188–1199. http://dx.doi.org/10.1007/s00134-008-1026-7 [Article] [PubMed]×
Groll, D. L., To, T., Bombardier, C., & Wright, J. G. (2005). The development of a comorbidity index with physical function as the outcome. Journal of Clinical Epidemiology, 58, 595–602. http://dx.doi.org/10.1016/j.jclinepi.2004.10.018 [Article] [PubMed]
Groll, D. L., To, T., Bombardier, C., & Wright, J. G. (2005). The development of a comorbidity index with physical function as the outcome. Journal of Clinical Epidemiology, 58, 595–602. http://dx.doi.org/10.1016/j.jclinepi.2004.10.018 [Article] [PubMed]×
Hamilton, L. C. (2009). Statistics with STATA—Update for Version 10. Belmont, CA: Brooks/Cole.
Hamilton, L. C. (2009). Statistics with STATA—Update for Version 10. Belmont, CA: Brooks/Cole.×
Herridge, M. S. (2009). Legacy of intensive care unit–acquired weakness. Critical Care Medicine, 37(Suppl.), S457–S461. http://dx.doi.org/10.1097/CCM.0b013e3181b6f35c [Article] [PubMed]
Herridge, M. S. (2009). Legacy of intensive care unit–acquired weakness. Critical Care Medicine, 37(Suppl.), S457–S461. http://dx.doi.org/10.1097/CCM.0b013e3181b6f35c [Article] [PubMed]×
Herridge, M. S., Cheung, A. M., Tansey, C. M., Matte-Martyn, A., Diaz-Granados, N., Al-Saidi, F., … Slutsky, A. S.; Canadian Critical Care Trials Group., (2003). One-year outcomes in survivors of the acute respiratory distress syndrome. New England Journal of Medicine, 348, 683–693. http://dx.doi.org/10.1056/NEJMoa022450 [Article] [PubMed]
Herridge, M. S., Cheung, A. M., Tansey, C. M., Matte-Martyn, A., Diaz-Granados, N., Al-Saidi, F., … Slutsky, A. S.; Canadian Critical Care Trials Group., (2003). One-year outcomes in survivors of the acute respiratory distress syndrome. New England Journal of Medicine, 348, 683–693. http://dx.doi.org/10.1056/NEJMoa022450 [Article] [PubMed]×
Herridge, M. S., Tansey, C. M., Matté, A., Tomlinson, G., Diaz-Granados, N., Cooper, A., … Cheung, A. M.; Canadian Critical Care Trials Group., (2011). Functional disability 5 years after acute respiratory distress syndrome. New England Journal of Medicine, 364, 1293–1304. http://dx.doi.org/10.1056/NEJMoa1011802 [Article] [PubMed]
Herridge, M. S., Tansey, C. M., Matté, A., Tomlinson, G., Diaz-Granados, N., Cooper, A., … Cheung, A. M.; Canadian Critical Care Trials Group., (2011). Functional disability 5 years after acute respiratory distress syndrome. New England Journal of Medicine, 364, 1293–1304. http://dx.doi.org/10.1056/NEJMoa1011802 [Article] [PubMed]×
Hopkins, R. O., & Spuhler, V. J. (2009). Strategies for promoting early activity in critically ill mechanically ventilated patients. AACN Advanced Critical Care, 20, 277–289. http://dx.doi.org/10.1097/NCI.0b013e3181acaef0 [Article] [PubMed]
Hopkins, R. O., & Spuhler, V. J. (2009). Strategies for promoting early activity in critically ill mechanically ventilated patients. AACN Advanced Critical Care, 20, 277–289. http://dx.doi.org/10.1097/NCI.0b013e3181acaef0 [Article] [PubMed]×
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1985). APACHE II: A severity of disease classification system. Critical Care Medicine, 13, 818–829. http://dx.doi.org/10.1097/00003246-198510000-00009 [Article] [PubMed]
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1985). APACHE II: A severity of disease classification system. Critical Care Medicine, 13, 818–829. http://dx.doi.org/10.1097/00003246-198510000-00009 [Article] [PubMed]×
Korupolu, R., Gifford, J., & Needham, D. M. (2009). Early mobilization of critically ill patients: Reducing neuromuscular complications after intensive care. Contemporary Critical Care, 6, 1–12.
Korupolu, R., Gifford, J., & Needham, D. M. (2009). Early mobilization of critically ill patients: Reducing neuromuscular complications after intensive care. Contemporary Critical Care, 6, 1–12.×
Kress, J. P., Pohlman, A. S., O’Connor, M. F., & Hall, J. B. (2000). Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation. New England Journal of Medicine, 342, 1471–1477. http://dx.doi.org/10.1056/NEJM200005183422002 [Article] [PubMed]
Kress, J. P., Pohlman, A. S., O’Connor, M. F., & Hall, J. B. (2000). Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation. New England Journal of Medicine, 342, 1471–1477. http://dx.doi.org/10.1056/NEJM200005183422002 [Article] [PubMed]×
Latronico, N., Shehu, I., & Seghelini, E. (2005). Neuromuscular sequelae of critical illness. Current Opinion in Critical Care, 11, 381–390. http://dx.doi.org/10.1097/01.ccx.0000168530.30702.3e [Article] [PubMed]
Latronico, N., Shehu, I., & Seghelini, E. (2005). Neuromuscular sequelae of critical illness. Current Opinion in Critical Care, 11, 381–390. http://dx.doi.org/10.1097/01.ccx.0000168530.30702.3e [Article] [PubMed]×
Lilly, C. M., Zuckerman, I. H., Badawi, O., & Riker, R. R. (2011). Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States. Chest, 140, 1232–1242. http://dx.doi.org/10.1378/chest.11-0718 [Article] [PubMed]
Lilly, C. M., Zuckerman, I. H., Badawi, O., & Riker, R. R. (2011). Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States. Chest, 140, 1232–1242. http://dx.doi.org/10.1378/chest.11-0718 [Article] [PubMed]×
Morris, P. E., Goad, A., Thompson, C., Taylor, K., Harry, B., Passmore, L., … Haponik, E. (2008). Early intensive care unit mobility therapy in the treatment of acute respiratory failure. Critical Care Medicine, 36, 2238–2243. http://dx.doi.org/10.1097/CCM.0b013e318180b90e [Article] [PubMed]
Morris, P. E., Goad, A., Thompson, C., Taylor, K., Harry, B., Passmore, L., … Haponik, E. (2008). Early intensive care unit mobility therapy in the treatment of acute respiratory failure. Critical Care Medicine, 36, 2238–2243. http://dx.doi.org/10.1097/CCM.0b013e318180b90e [Article] [PubMed]×
Needham, D. M. (2008). Mobilizing patients in the intensive care unit: Improving neuromuscular weakness and physical function. JAMA, 300, 1685–1690. http://dx.doi.org/10.1001/jama.300.14.1685 [Article] [PubMed]
Needham, D. M. (2008). Mobilizing patients in the intensive care unit: Improving neuromuscular weakness and physical function. JAMA, 300, 1685–1690. http://dx.doi.org/10.1001/jama.300.14.1685 [Article] [PubMed]×
Needham, D. M., Bronskill, S. E., Calinawan, J. R., Sibbald, W. J., Pronovost, P. J., & Laupacis, A. (2005). Projected incidence of mechanical ventilation in Ontario to 2026: Preparing for the aging baby boomers. Critical Care Medicine, 33, 574–579. http://dx.doi.org/10.1097/01.CCM.0000155992.21174.31 [Article] [PubMed]
Needham, D. M., Bronskill, S. E., Calinawan, J. R., Sibbald, W. J., Pronovost, P. J., & Laupacis, A. (2005). Projected incidence of mechanical ventilation in Ontario to 2026: Preparing for the aging baby boomers. Critical Care Medicine, 33, 574–579. http://dx.doi.org/10.1097/01.CCM.0000155992.21174.31 [Article] [PubMed]×
Needham, D. M., Davidson, J., Cohen, H., Hopkins, R. O., Weinert, C., Wunsch, H., … Harvey, M. A. (2012). Improving long-term outcomes after discharge from intensive care unit: Report from a stakeholders’ conference. Critical Care Medicine, 40, 502–509. http://dx.doi.org/10.1097/CCM.0b013e318232da75 [Article] [PubMed]
Needham, D. M., Davidson, J., Cohen, H., Hopkins, R. O., Weinert, C., Wunsch, H., … Harvey, M. A. (2012). Improving long-term outcomes after discharge from intensive care unit: Report from a stakeholders’ conference. Critical Care Medicine, 40, 502–509. http://dx.doi.org/10.1097/CCM.0b013e318232da75 [Article] [PubMed]×
Needham, D. M., Dennison, C. R., Dowdy, D. W., Mendez-Tellez, P. A., Ciesla, N., Desai, S. V., … Pronovost, P. J. (2005). Study protocol: The Improving Care of Acute Lung Injury Patients (ICAP) study. Critical Care, 10, R9. http://dx.doi.org/10.1186/cc3948 [Article]
Needham, D. M., Dennison, C. R., Dowdy, D. W., Mendez-Tellez, P. A., Ciesla, N., Desai, S. V., … Pronovost, P. J. (2005). Study protocol: The Improving Care of Acute Lung Injury Patients (ICAP) study. Critical Care, 10, R9. http://dx.doi.org/10.1186/cc3948 [Article] ×
Needham, D. M., & Korupolu, R. (2010). Rehabilitation quality improvement in an intensive care unit setting: Implementation of a quality improvement model. Topics in Stroke Rehabilitation, 17, 271–281. http://dx.doi.org/10.1310/tsr1704-271 [Article] [PubMed]
Needham, D. M., & Korupolu, R. (2010). Rehabilitation quality improvement in an intensive care unit setting: Implementation of a quality improvement model. Topics in Stroke Rehabilitation, 17, 271–281. http://dx.doi.org/10.1310/tsr1704-271 [Article] [PubMed]×
Needham, D. M., Korupolu, R., Zanni, J. M., Pradhan, P., Colantuoni, E., Palmer, J. B., … Fan, E. (2010). Early physical medicine and rehabilitation for patients with acute respiratory failure: A quality improvement project. Archives of Physical Medicine and Rehabilitation, 91, 536–542. http://dx.doi.org/10.1016/j.apmr.2010.01.002 [Article] [PubMed]
Needham, D. M., Korupolu, R., Zanni, J. M., Pradhan, P., Colantuoni, E., Palmer, J. B., … Fan, E. (2010). Early physical medicine and rehabilitation for patients with acute respiratory failure: A quality improvement project. Archives of Physical Medicine and Rehabilitation, 91, 536–542. http://dx.doi.org/10.1016/j.apmr.2010.01.002 [Article] [PubMed]×
Needham, D. M., Wang, W., Desai, S. V., Mendez-Tellez, P. A., Dennison, C. R., Sevransky, J., … Pronovost, P. J. (2007). Intensive care unit exposures for long-term outcomes research: Development and description of exposures for 150 patients with acute lung injury. Journal of Critical Care, 22, 275–284. http://dx.doi.org/10.1016/j.jcrc.2007.02.001 [Article] [PubMed]
Needham, D. M., Wang, W., Desai, S. V., Mendez-Tellez, P. A., Dennison, C. R., Sevransky, J., … Pronovost, P. J. (2007). Intensive care unit exposures for long-term outcomes research: Development and description of exposures for 150 patients with acute lung injury. Journal of Critical Care, 22, 275–284. http://dx.doi.org/10.1016/j.jcrc.2007.02.001 [Article] [PubMed]×
O’Connor, E. D., & Walsham, J. (2009). Should we mobilise critically ill patients? A review. Critical Care and Resuscitation: Journal of the Australasian Academy of Critical Care Medicine, 11, 290–300. [PubMed]
O’Connor, E. D., & Walsham, J. (2009). Should we mobilise critically ill patients? A review. Critical Care and Resuscitation: Journal of the Australasian Academy of Critical Care Medicine, 11, 290–300. [PubMed]×
Pohlman, M. C., Schweickert, W. D., Pohlman, A. S., Nigos, C., Pawlik, A. J., Esbrook, C. L., … Kress, J. P. (2010). Feasibility of physical and occupational therapy beginning from initiation of mechanical ventilation. Critical Care Medicine, 38, 2089–2094. http://dx.doi.org/10.1097/CCM.0b013e3181f270c3 [Article] [PubMed]
Pohlman, M. C., Schweickert, W. D., Pohlman, A. S., Nigos, C., Pawlik, A. J., Esbrook, C. L., … Kress, J. P. (2010). Feasibility of physical and occupational therapy beginning from initiation of mechanical ventilation. Critical Care Medicine, 38, 2089–2094. http://dx.doi.org/10.1097/CCM.0b013e3181f270c3 [Article] [PubMed]×
R Development Core Team. (2011). R: A language and environment for statistical computing [Computer software]. Vienna, Austria: R Foundation for Statistical Computing.
R Development Core Team. (2011). R: A language and environment for statistical computing [Computer software]. Vienna, Austria: R Foundation for Statistical Computing.×
Rubenfeld, G. D. (2007). Interventions to improve long-term outcomes after critical illness. Current Opinion in Critical Care, 13, 476–481. http://dx.doi.org/10.1097/MCC.0b013e3282efdea5 [Article] [PubMed]
Rubenfeld, G. D. (2007). Interventions to improve long-term outcomes after critical illness. Current Opinion in Critical Care, 13, 476–481. http://dx.doi.org/10.1097/MCC.0b013e3282efdea5 [Article] [PubMed]×
Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.
Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.×
Schoenfeld, D. (1982). Partial residuals for the proportional hazards regression model. Biometrika, 69, 239–241. http://dx.doi.org/10.1093/biomet/69.1.239 [Article]
Schoenfeld, D. (1982). Partial residuals for the proportional hazards regression model. Biometrika, 69, 239–241. http://dx.doi.org/10.1093/biomet/69.1.239 [Article] ×
Schweickert, W. D., Pohlman, M. C., Pohlman, A. S., Nigos, C., Pawlik, A. J., Esbrook, C. L., … Kress, J. P. (2009). Early physical and occupational therapy in mechanically ventilated, critically ill patients: A randomised controlled trial. Lancet, 373, 1874–1882. http://dx.doi.org/10.1016/S0140-6736(09)60658-9 [Article] [PubMed]
Schweickert, W. D., Pohlman, M. C., Pohlman, A. S., Nigos, C., Pawlik, A. J., Esbrook, C. L., … Kress, J. P. (2009). Early physical and occupational therapy in mechanically ventilated, critically ill patients: A randomised controlled trial. Lancet, 373, 1874–1882. http://dx.doi.org/10.1016/S0140-6736(09)60658-9 [Article] [PubMed]×
Thomsen, G. E., Snow, G. L., Rodriguez, L., & Hopkins, R. O. (2008). Patients with respiratory failure increase ambulation after transfer to an intensive care unit where early activity is a priority. Critical Care Medicine, 36, 1119–1124. http://dx.doi.org/10.1097/CCM.0b013e318168f986 [Article] [PubMed]
Thomsen, G. E., Snow, G. L., Rodriguez, L., & Hopkins, R. O. (2008). Patients with respiratory failure increase ambulation after transfer to an intensive care unit where early activity is a priority. Critical Care Medicine, 36, 1119–1124. http://dx.doi.org/10.1097/CCM.0b013e318168f986 [Article] [PubMed]×
Varadhan, R., Weiss, C. O., Segal, J. B., Wu, A. W., Scharfstein, D., & Boyd, C. (2010). Evaluating health outcomes in the presence of competing risks: A review of statistical methods and clinical applications. Medical Care, 48(Suppl.), S96–S105. http://dx.doi.org/10.1097/MLR.0b013e3181d99107 [Article] [PubMed]
Varadhan, R., Weiss, C. O., Segal, J. B., Wu, A. W., Scharfstein, D., & Boyd, C. (2010). Evaluating health outcomes in the presence of competing risks: A review of statistical methods and clinical applications. Medical Care, 48(Suppl.), S96–S105. http://dx.doi.org/10.1097/MLR.0b013e3181d99107 [Article] [PubMed]×
Vest, M. T., Murphy, T. E., Araujo, K. L., & Pisani, M. A. (2011). Disability in activities of daily living, depression, and quality of life among older medical ICU survivors: A prospective cohort study. Health and Quality of Life Outcomes, 9, 9. http://dx.doi.org/10.1186/1477-7525-9-9 [Article] [PubMed]
Vest, M. T., Murphy, T. E., Araujo, K. L., & Pisani, M. A. (2011). Disability in activities of daily living, depression, and quality of life among older medical ICU survivors: A prospective cohort study. Health and Quality of Life Outcomes, 9, 9. http://dx.doi.org/10.1186/1477-7525-9-9 [Article] [PubMed]×
Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., … Thijs, L. G. (1996). The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Medicine, 22, 707–710. http://dx.doi.org/10.1007/BF01709751 [Article] [PubMed]
Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., … Thijs, L. G. (1996). The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Medicine, 22, 707–710. http://dx.doi.org/10.1007/BF01709751 [Article] [PubMed]×
Wunsch, H., Guerra, C., Barnato, A. E., Angus, D. C., Li, G., & Linde-Zwirble, W. T. (2010). Three-year outcomes for Medicare beneficiaries who survive intensive care. JAMA, 303, 849–856. http://dx.doi.org/10.1001/jama.2010.216 [Article] [PubMed]
Wunsch, H., Guerra, C., Barnato, A. E., Angus, D. C., Li, G., & Linde-Zwirble, W. T. (2010). Three-year outcomes for Medicare beneficiaries who survive intensive care. JAMA, 303, 849–856. http://dx.doi.org/10.1001/jama.2010.216 [Article] [PubMed]×
Zanni, J. M., Korupolu, R., Fan, E., Pradhan, P., Janjua, K., Palmer, J. B., … Needham, D. M. (2010). Rehabilitation therapy and outcomes in acute respiratory failure: An observational pilot project. Journal of Critical Care, 25, 254–262. http://dx.doi.org/10.1016/j.jcrc.2009.10.010 [Article] [PubMed]
Zanni, J. M., Korupolu, R., Fan, E., Pradhan, P., Janjua, K., Palmer, J. B., … Needham, D. M. (2010). Rehabilitation therapy and outcomes in acute respiratory failure: An observational pilot project. Journal of Critical Care, 25, 254–262. http://dx.doi.org/10.1016/j.jcrc.2009.10.010 [Article] [PubMed]×
Figure 1.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Full Size  |  Slide (.ppt)
Figure 1.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by intensive care unit admission type.
Full Size  |  Slide (.ppt)
×
Figure 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Full Size  |  Slide (.ppt)
Figure 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Note. ALI = acute lung injury. Estimates are adjusted for all variables included in the multivariate regression model presented in Table 2.
Estimated adjusted cumulative incidence of initiating occupational therapy (OT) intervention in the intensive care unit, by hospital.
Full Size  |  Slide (.ppt)
×
Table 1.
Baseline Characteristics, by ICU Occupational Therapy Status
Baseline Characteristics, by ICU Occupational Therapy Status×
FactorsAll, N = 514 (100%)Ever Occupational Therapy, n = 154 (30%)Never Occupational Therapy, n = 360 (70%)pa
Patient Factors
Age, yr, median (IQR)52 (42–63)52 (42–62)52 (42–64).500
Female, n (%)228 (44)66 (43)162 (45).363
White, n (%)306 (59)94 (61)212 (59).695
BMI, median (IQR)27 (23–32)27 (23–32)27 (23–33).798
ICU admission diagnosis, n (%)<.001
 Medical480 (93)133 (86)347 (96)
 Trauma15 (3)12 (8)3 (1)
 Other19 (4)9 (6)10 (3)
Functional comorbidity index, median (IQR)1 (1–3)1 (0–3)1 (1–3).593
APACHE II at ICU admission, median (IQR)26 (20–33)23 (18–29)28 (21–35)<.001
Mean daily SOFA score, median (IQR)8 (5–12)7 (5–9)8 (5–14)<.001
Ever on continuous hemodialysis, n (%)127 (25)18 (12)109 (30)<.001
Proportion of ICU days with delirium or coma per patient, median (IQR)b
 No delirium0 (0–17)0 (0–21)0 (0–14).185
 Delirium23 (0–48)34 (9–56)17 (0–40)<.001
 Comatose50 (17–81)35 (7–60)56 (29–88)<.001
Proportion of ICU days on mechanical ventilation, median (IQR)100 (83–100)100 (89–100)100 (83–100).040
Mean daily FiO2, median (IQR)56 (47–67)52 (44–62)58 (47–71)<.001
ICU Factors
ICU admission type, n (%)<.001
 Medical426 (83)101 (66)325 (90)
 Surgical65 (13)33 (21)32 (9)
 Trauma23 (4)20 (13)3 (1)
Proportion of ICU days per patient by infusion status, median (IQR)
No sedative infusion25 (0–6)20 (0–56)28 (0–57).189
Infusion without interruption50 (25–75)50 (27–70)50 (25–75).807
Infusion with interruption14 (0–29)17 (0–31)13 (0–25).006
Hospital Factor
Hospital study site, n (%)<.001
 Site 1191 (37)39 (25)152 (42)
 Site 2166 (32)24 (16)142 (39)
 Site 3157 (30)91 (59)66 (18)
Table Footer NoteNote. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.
Note. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaComparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.
Comparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.×
View Large
Table 1.
Baseline Characteristics, by ICU Occupational Therapy Status
Baseline Characteristics, by ICU Occupational Therapy Status×
FactorsAll, N = 514 (100%)Ever Occupational Therapy, n = 154 (30%)Never Occupational Therapy, n = 360 (70%)pa
Patient Factors
Age, yr, median (IQR)52 (42–63)52 (42–62)52 (42–64).500
Female, n (%)228 (44)66 (43)162 (45).363
White, n (%)306 (59)94 (61)212 (59).695
BMI, median (IQR)27 (23–32)27 (23–32)27 (23–33).798
ICU admission diagnosis, n (%)<.001
 Medical480 (93)133 (86)347 (96)
 Trauma15 (3)12 (8)3 (1)
 Other19 (4)9 (6)10 (3)
Functional comorbidity index, median (IQR)1 (1–3)1 (0–3)1 (1–3).593
APACHE II at ICU admission, median (IQR)26 (20–33)23 (18–29)28 (21–35)<.001
Mean daily SOFA score, median (IQR)8 (5–12)7 (5–9)8 (5–14)<.001
Ever on continuous hemodialysis, n (%)127 (25)18 (12)109 (30)<.001
Proportion of ICU days with delirium or coma per patient, median (IQR)b
 No delirium0 (0–17)0 (0–21)0 (0–14).185
 Delirium23 (0–48)34 (9–56)17 (0–40)<.001
 Comatose50 (17–81)35 (7–60)56 (29–88)<.001
Proportion of ICU days on mechanical ventilation, median (IQR)100 (83–100)100 (89–100)100 (83–100).040
Mean daily FiO2, median (IQR)56 (47–67)52 (44–62)58 (47–71)<.001
ICU Factors
ICU admission type, n (%)<.001
 Medical426 (83)101 (66)325 (90)
 Surgical65 (13)33 (21)32 (9)
 Trauma23 (4)20 (13)3 (1)
Proportion of ICU days per patient by infusion status, median (IQR)
No sedative infusion25 (0–6)20 (0–56)28 (0–57).189
Infusion without interruption50 (25–75)50 (27–70)50 (25–75).807
Infusion with interruption14 (0–29)17 (0–31)13 (0–25).006
Hospital Factor
Hospital study site, n (%)<.001
 Site 1191 (37)39 (25)152 (42)
 Site 2166 (32)24 (16)142 (39)
 Site 3157 (30)91 (59)66 (18)
Table Footer NoteNote. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.
Note. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; IQR = interquartile range; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaComparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.
Comparing “ever occupational therapy” and “never occupational therapy” and calculated using Pearson χ2, Fisher’s exact, and Wilcoxon rank-sum tests, as appropriate. bCalculated using available (i.e., not imputed) data.×
×
Table 2.
Factors Associated With Time to Initiating Occupational Therapy in the ICU
Factors Associated With Time to Initiating Occupational Therapy in the ICU×
Unadjusted
Adjusted
FactorHazard Ratio95% Confidence IntervalpHazard Ratio95% Confidence Intervalp
Patient Factors
Age, yr0.99[0.98, 1.00].1251.00[0.99, 1.01].432
Female0.88[0.65, 1.21].440
White (vs. non-White)1.05[0.76, 1.43].780
BMI0.99[0.97, 1.01].233
ICU admission diagnosis
 Medical (Ref.)1.001.00
 Trauma5.47[2.74, 10.87]<.0011.15[0.39, 3.41].790
 Other3.89[1.86, 8.14]<.0012.81[1.14, 6.89].024
Functional comorbidity index0.97[0.88, 1.07].591
APACHE II at ICU admission0.94[0.92, 0.96]<.0011.01[0.98, 1.03].599
Daily SOFA score0.85[0.83, 0.88]<.0010.91[0.87, 0.94]<.001
Ever on continuous hemodialysis0.28[0.18, 0.45]<.0010.53[0.31, 0.92].025
Delirium statusa
 No delirium (Ref.)1.001.00
 Delirium0.53[0.32, 0.87].0140.87[0.53, 1.43].577
Comatose0.21[0.13, 0.35]<.0010.65[0.37, 1.13].127
Daily mechanical ventilation status0.26[0.19, 0.37]<.0010.73[0.47, 1.13].156
FiO2 received1.00[0.99, 1.00].315
ICU Factors
ICU admission type
 Medical (Ref.)1.001.00
 Surgical2.62[1.77, 3.87]<.0011.37[0.87, 2.14].173
 Trauma8.22[4.69, 14.42]<.0013.82[1.54, 9.49].004
Sedative interruption
 No sedative infusion (Ref.)1.001.00
 Infusion without interruption0.37[0.25, 0.53]<.0010.44[0.29, 0.67]<.001
 Infusion with interruption0.74[0.48, 1.16].1890.64[0.39, 1.06].082
Hospital Factor
Hospital study site
 Site 1 (Ref.)1.001.00
 Site 20.65[0.40, 1.06].0870.44[0.27, 0.72].001
 Site 33.75[2.59, 5.42]<.0011.90[1.24, 2.92].003
Table Footer NoteNote. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.
Note. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaMissing data imputed using multiple imputation (Rubin, 1987).
Missing data imputed using multiple imputation (Rubin, 1987).×
View Large
Table 2.
Factors Associated With Time to Initiating Occupational Therapy in the ICU
Factors Associated With Time to Initiating Occupational Therapy in the ICU×
Unadjusted
Adjusted
FactorHazard Ratio95% Confidence IntervalpHazard Ratio95% Confidence Intervalp
Patient Factors
Age, yr0.99[0.98, 1.00].1251.00[0.99, 1.01].432
Female0.88[0.65, 1.21].440
White (vs. non-White)1.05[0.76, 1.43].780
BMI0.99[0.97, 1.01].233
ICU admission diagnosis
 Medical (Ref.)1.001.00
 Trauma5.47[2.74, 10.87]<.0011.15[0.39, 3.41].790
 Other3.89[1.86, 8.14]<.0012.81[1.14, 6.89].024
Functional comorbidity index0.97[0.88, 1.07].591
APACHE II at ICU admission0.94[0.92, 0.96]<.0011.01[0.98, 1.03].599
Daily SOFA score0.85[0.83, 0.88]<.0010.91[0.87, 0.94]<.001
Ever on continuous hemodialysis0.28[0.18, 0.45]<.0010.53[0.31, 0.92].025
Delirium statusa
 No delirium (Ref.)1.001.00
 Delirium0.53[0.32, 0.87].0140.87[0.53, 1.43].577
Comatose0.21[0.13, 0.35]<.0010.65[0.37, 1.13].127
Daily mechanical ventilation status0.26[0.19, 0.37]<.0010.73[0.47, 1.13].156
FiO2 received1.00[0.99, 1.00].315
ICU Factors
ICU admission type
 Medical (Ref.)1.001.00
 Surgical2.62[1.77, 3.87]<.0011.37[0.87, 2.14].173
 Trauma8.22[4.69, 14.42]<.0013.82[1.54, 9.49].004
Sedative interruption
 No sedative infusion (Ref.)1.001.00
 Infusion without interruption0.37[0.25, 0.53]<.0010.44[0.29, 0.67]<.001
 Infusion with interruption0.74[0.48, 1.16].1890.64[0.39, 1.06].082
Hospital Factor
Hospital study site
 Site 1 (Ref.)1.001.00
 Site 20.65[0.40, 1.06].0870.44[0.27, 0.72].001
 Site 33.75[2.59, 5.42]<.0011.90[1.24, 2.92].003
Table Footer NoteNote. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.
Note. Hazard ratios >1 indicate an association with earlier initiation of occupation therapy in the ICU. Hazard ratios calculated using Fine and Gray proportional subdistribution hazards regression models (Fine & Gray, 1999) with time-varying exposures for daily SOFA score, delirium, mechanical ventilation status, FiO2, and sedation interruption. APACHE II = Acute Physiology and Chronic Health Evaluation II; BMI = body mass index; FiO2 = fraction of inspired oxygen; ICU = intensive care unit; Ref. = reference category; SOFA = Sequential Organ Failure Assessment.×
Table Footer NoteaMissing data imputed using multiple imputation (Rubin, 1987).
Missing data imputed using multiple imputation (Rubin, 1987).×
×