Published ahead of print on October 26, 2006, doi:10.1164/rccm.200604-493OC
© 2007 American Thoracic Society doi: 10.1164/rccm.200604-493OC
Informal Caregiver Burden among Survivors of Prolonged Mechanical VentilationClinical Research, Investigation, and Systems Modeling of Acute Illness Laboratory, Department of Critical Care Medicine, Department of Biostatistics, Department of Health Policy and Management, Department of Psychiatry, and University Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, Pennsylvania Correspondence and requests for reprints should be addressed to Eric B. Milbrandt, M.D., M.P.H., F.C.C.P., CRISMA Laboratory, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, 606D Scaife Hall, 3550 Terrace Street, Pittsburgh, PA 15261. E-mail: milbeb{at}ccm.upmc.edu
Rationale: Although caregiver burden is well described in chronic illness, few studies have examined burden among caregivers of survivors of critical illness. In existing studies, it is unclear whether the observed burden is a consequence of critical illness or of preexisting patient illness. Objectives: To describe 1-yr longitudinal outcomes for caregivers of patients who survived critical illness, and to compare depression risk between caregivers of patients with and without pre–intensive care unit (ICU) functional dependency. Methods: Prospective, parallel, cohort study of survivors of prolonged (greater than 48 h) mechanical ventilation and their informal caregivers. Caregivers were divided into two cohorts on the basis of whether patients were functionally independent (n = 99, 59%), or dependent (n = 70, 41%) before admission. Functional dependency was defined as dependency in one or more activities of daily living or in three or more instrumental activities of daily living. Patient and caregiver outcomes were measured 2, 6, and 12 mo after mechanical ventilation initiation. Measurements and Main Results: We studied three caregiver outcomes: depression risk, lifestyle disruption, and employment reduction. Most patients were male (59.8%), with a mean (SD) age of 56.6 (19.0) yr. Caregivers were mostly female (75.7%), with a mean (SD) age of 54.6 (14.7) yr. Prevalence of caregiver depression risk was high at all time points (33.9, 30.8, and 22.8%; p = 0.83) and did not vary by patient pre-ICU functional status. Lifestyle disruption and employment reduction were also common and persistent. Conclusions: Depression symptoms, lifestyle disruption, and employment reduction were common among informal caregivers of critical illness survivors. Depression risk was high regardless of patient pre-ICU functional status.
Key Words: caregivers • depression • mechanical ventilation • outcomes research • quality of life
More than 40 million Americans serve as informal caregivers to their ill loved ones (1), and often suffer physical (2), psychologic (3), and financial (4) burden as a result. Most evidence for caregiver burden relates to the care of the chronically ill (5–7), but a few small studies report that informal caregivers of intensive care unit (ICU) survivors and family members of current ICU patients also have significant burden (8), including increased risk for depression (9–14) and post-traumatic stress disorder (15, 16). It is not known from these studies, however, whether the post-ICU caregiver burden is new, or simply the ongoing burden of caring for individuals who had chronic conditions before ICU admission. We also do not know whether this burden changes or persists over time. We explored this issue in the Quality of Life after Mechanical Ventilation (QOL-MV) study, which was specifically designed to examine the longitudinal outcomes of mechanically ventilated critically ill patients and their informal caregivers. We previously reported a descriptive analysis of caregiver burden at 2 mo (12). The objectives of the current article were to determine depression risk, lifestyle disruption, and effect on employment for informal caregivers up to 1 yr after initiation of mechanical ventilation. To test whether this caregiver burden was new, we compared outcomes of two caregiver cohorts, those caring for patients who were either previously healthy or physically disabled before their episode of critical illness. We hypothesized that, if there was substantial new caregiver burden, then even caregivers of previously healthy subjects would have burden, perhaps of similar magnitude to that of caregivers of previously functionally dependent subjects. Furthermore, if the burden was a new and sustained problem, then caregiver burden would be similar between groups as long as 1 yr later. Some of the results of this study have been previously reported in the form of an abstract (17, 18).
Study Design This prospective, parallel cohort study was designed to examine longitudinal outcomes of survivors of critical illness and their informal caregivers. A detailed description was previously reported (19). The QOL-MV cohort included patients admitted to medical, surgical, neurotrauma, and neurologic ICUs at a tertiary care teaching hospital in Pittsburgh, Pennsylvania, from June 1997 to July 1999. Patients and their caregivers were eligible if mechanical ventilation was required for 48 h or more. This report describes caregiver outcomes 2, 6, and 12 mo after initiation of mechanical ventilation. The protocol was approved by the University of Pittsburgh Institutional Review Board.
Patient Data Collection and Measurements
Informal Caregiver Data Collection and Measurements
Statistical Analysis
Patient and Informal Caregiver Characteristics The initial QOL-MV patient cohort consisted of 817 critically ill patients who were mechanically ventilated for at least 48 h. Of these, 469 (57.4%) were alive 2 mo after the initiation of mechanical ventilation (Figure 1). A total of 189 caregivers were identified among these 2-mo survivors. Of caregivers identified, 169 were eligible for inclusion in the caregiver study, providing a total of 314 interviews over the 1-yr follow-up period. Characteristics of the 300 remaining 2-mo survivors not included in the caregiver study did not differ significantly from those of the 169 who were included (see Table E1 in the online supplement).
Baseline patient characteristics are provided in Table 1. The majority of patients were male (59.8%) and white (89.9%). Mean (SD) age was 56.6 (19.0) yr, and 41.4% had pre-ICU functional dependency (i.e., they were dependent in at least one ADL or three IADLs). At admission, 65.7% of patients had a medical diagnosis, 22.5% had a diagnosis of trauma, and 11.8% had a surgical diagnosis.
Caregiver characteristics are listed in Table 2. The majority of caregivers were female (75.7%) and white (91.1%). Mean (SD) age was 54.6 (14.7) yr, 53% were spouses, and 89% had a high school education. When stratified by pre-ICU functional status, caregivers of functionally dependent patients were more likely to be male and older than caregivers of functionally independent patients, although the majority of caregivers were women in either group.
Patient and Informal Caregiver Outcomes Over the 1-yr follow-up period, the proportion of functionally dependent survivors decreased (104 [91.2%], 82 [78.1%], and 64 [69.6%]; p < 0.001), and the respective proportion of patients living at home increased (57 [49.6%], 82 [77.4%], 81 [88.0%]; p < 0.001). One-third of caregivers were at risk of depression (CES-D  16) at 2 mo (Table 3). Although the proportion of caregivers at risk of depression decreased over time, this difference was not statistically significant. When stratified by pre-ICU patient functional status (Figure 2, top), caregiver depression risk tended to be higher in those caring for patients with pre-ICU functional dependency, although these differences were not statistically significant.
Reduction in employment and disruption in lifestyle were common (Table 3). At 2 mo, only 28.7% of caregivers were employed and 13.0% indicated that they had stopped working in order to provide care. Lifestyle disruption, as measured by the ARS, was high with a mean (SD) ARS score of 22.1 (8.5) (of 44 possible) and with moderate or great restriction reported in a mean (SD) of 3.5 (3.4) lifestyle activities. Similar to depression risk, there was no statistically significant change in either employment status or lifestyle disruption over time. When stratified by pre-ICU patient functional status (Figure 2, middle and bottom), lifestyle disruption and employment reduction tended to be higher in caregivers of those with pre-ICU functional dependency, although these differences were significant only for 6-mo lifestyle disruption. Caregivers reported spending nearly 6 h/d providing assistance at the 2-mo time point, with no significant reduction in the amount of time spent helping over the follow-up period. Time spent helping was generally greater for those caring for patients at home than for patients who were institutionalized, but this difference was only statistically significant at 2 mo (mean [SD] hours spent by location (home vs. institution): 2 mo, 7.2 [5.5] vs. 4.6 [3.6], p = 0.006; 6 mo, 5.8 [5.5] vs. 4.0 [4.5], p = 0.16; 12 mo, 4.9 [5.1] vs. 2.6 [2.7], p = 0.17). Caregivers spent more time helping patients with their IADLs than with their ADLs. Assistance was provided most often for problem solving, shopping, laundry, housekeeping, and managing finances. In univariate analysis, the following variables were associated with caregiver depression risk (p < 0.20) and entered into the multivariable model: patient sex, patient age, caregiver sex, Charlson Comorbidity Index score, pre-ICU functional dependency, post-ICU functional dependency, tracheostomy, hospital length of stay, location (home vs. institution), and paid assistance. The subsequent multivariable model showed a good fit to the data, with a Hosmer-Lemeshow statistic of 7.19 on 8 degrees of freedom (p = 0.52). In the final multivariable model, only patient age (p = 0.005) and "paid help" (p = 0.049) were significant predictors of caregiver depression risk, indicating that caregivers of older patients and those using paid help had an increased risk of depression. Patient sex (p = 0.07) and Charlson Comorbidity Index score (p = 0.06) approached statistical significance, indicating that caregivers may have had an increased risk of depression when caring for patients who were male or had greater comorbidity. Notably, neither functional dependency nor location after discharge (home or institution) was an independent predictor of caregiver depression risk.
In the longest longitudinal follow-up to date of the informal caregivers of critical illness survivors, we found a high prevalence of depression risk, and that reduction in employment and lifestyle disruptions were common and persistent. Furthermore, our results are the first to suggest that this burden may be a direct consequence of critical illness; caregiver burden was high regardless of pre-ICU patient functional status. This study strengthens growing evidence that the negative societal impact of critical illness goes beyond short-term mortality to include significant lifestyle disruption not only for ICU survivors but also their informal caregivers. Comparing caregivers of ICU survivors with other caregiver populations provides important insight into the negative impact of critical illness. Our results demonstrate lifestyle disruption and risk for depression that are much greater than that of the general population and similar to caregivers of Alzheimer's patients. In the general population, the prevalence of depression risk is reported to be approximately 15% (32), whereas the mean ARS score is 13.2 among community-dwelling seniors (29). Among caregivers of patients with Alzheimer's disease, depression risk may be as high as 38% (33) and is reported to be 36% among caregivers of patients with other chronic illnesses (34). Considering the tremendous caregiver burden that frequently results from caring for those with dementia, our findings underscore the severity of the downstream impairment that can occur after critical illness. Identifying predictors of adverse caregiver outcomes, such as depression risk, is important for targeting intervention strategies. Previous studies have found a variety of predictors of caregiver depression symptoms including female sex, being a spouse, older age, more chronic conditions (35), burden (36), lifestyle interference, lower mastery (9), and overload (10). Patient depression may even be a risk factor for depression symptoms in the caregiver (9). In our study, we found that increased patient age and paid assistance were independently associated with caregiver depression symptoms. These predictors have not been previously described in informal caregivers of ICU survivors and might be surrogate markers for unmeasured patient characteristics, such as cognitive dysfunction or behavioral problems, or for caregiver depression itself, if depression led caregivers to hire help. Our ability to identify other predictors may have been limited by our sample size and the use of CES-D as a dichotomous, rather than a continuous, outcome. Interestingly, neither post-ICU functional dependency nor cohabitation was a significant predictor in our model. This is consistent with findings by others that caregiver depression symptoms occur regardless of patient location (10, 37). Moreover, the fact that functional dependency and cohabitation were not predictors in our model suggests that there might be other opportunities to improve caregiver outcomes beyond the traditional methods of respite care, rehabilitation, caregiver training (38), and occupational therapy (39). Therefore, it will be important for future studies to evaluate nonphysical patient risk factors for adverse caregiver outcomes, such as patient emotional symptoms. It will also be important to focus on early identification of risk factors, given that caregiver interventions implemented earlier in the course of patient illness could have a greater impact on caregiver outcomes (40). Other studies have shown increased caregiver risk of depression for those caring for survivors of critical illness, but these studies were small, cross-sectional in nature, limited to a single ICU admitting diagnosis, or of limited follow-up duration (8–12, 15, 16). Although this was a single center study, patients were enrolled from four different types of ICUs (medical, surgical, trauma, and neurologic), making our results generalizable to other heterogeneous ICU patient populations. A key limitation of our study is a lack of preillness information about patients and caregivers, a common limitation in ICU outcome studies. In particular, we did not know whether caregivers already had symptoms of depression at baseline. We inferred that caregivers of patients with pre-ICU functional dependency had greater baseline burden and depression symptoms. Although this relationship has face validity, it remains to be proven. We did not have information about prior caregiving experience, which might affect a caregiver's ability to adapt. Determining detailed preillness characteristics would require recruiting and monitoring a large cohort of patients and caregivers before critical illness develops. Given the low incidence of critical illness in the general population, such an approach would be impractical: on the basis of 6,000,000 annual ICU admissions in the United States (41) with 33% requiring mechanical ventilation (42), nearly 25,000 patients and their caregivers would have to be monitored prospectively in order to obtain the 169 caregivers in our study within a 1-yr period. Our failure to demonstrate significant decreases in caregiver burden over time or between groups may be due to our relatively small sample size and power, even though ours is the largest and only longitudinal ICU caregiver study to date with 1-yr follow-up. The depression instrument we used for this study, the CES-D, is a screening tool that measures depression symptoms; formal diagnosis of depression requires further evaluation. Even so, the CES-D scale is commonly used to determine depression risk in studies of caregiver outcomes (3). Missing data are a common problem in longitudinal studies. In our study, only 48 (28.4%) caregivers provided interviews at all three time points. We accounted for these missing data by using a general estimating equation, pattern mixture model in our analyses (30, 31). Although we did not examine caregiver mortality, one study suggests that risk of death may be greater for those whose spouse was recently hospitalized (43). We completed enrollment for this study in 1999. Our findings might underestimate the effects of critical illness on caregivers today, as shorter hospital stays may result in increased reliance on informal caregivers.
The impact of critical illness can be profound and long lasting for both patients and their informal caregivers. We have shown that caregivers have an elevated and persistent risk of depression, disruption in lifestyle, and reduction in employment over a 12-mo period after the onset of critical illness. Traditionally, caregiver burden has been recognized in the context of chronic illness. It is also important to study burden in the context of recovery from acute illness given that, similar to early intervention in patient illness (e.g., sepsis, stroke), improved caregiver outcomes might be expected with timely intervention. Further research is needed to identify which informal caregivers are at risk and might benefit from anticipatory guidance and interventions.
The authors thank Javier Martinez for assistance with data analysis, and Tony Dremsizov and Mike Coughlin for assistance with manuscript preparation.
Supported by NIH grants AG11970-05, HL07820, HL67181, and HS011620. This article has an online supplement, which is accessible from this issue's table of contents at www.atsjournals.org Originally Published in Press as DOI: 10.1164/rccm.200604-493OC on October 26, 2006 Conflict of Interest Statement: None of the authors has a financial relationship with a commercial entity that has an interest in the subject of this manuscript. Received in original form April 7, 2006; accepted in final form October 25, 2006
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