Abstract
Abstract
Background:
Inpatient palliative consultation are generally provided to seriously ill hospitalized patients with the intent to alleviate pain and suffering and develop a plan of care for the patient. Although numerous benefits of this service have been documented, little is known about hospital readmission rates and factors associated with these readmissions.
Objective:
Our aim was to investigate factors associated with 30-day hospital readmission among patients receiving a consultation from an inpatient palliative care (ICP) team.
Design:
We conducted a retrospective cohort study.
Setting/Subjects:
Data from 408 managed care patients 65 years old and older were collected in 2007–2009 following an IPC consultation and subsequent hospital discharge.
Measurements:
IPC and medical service use records were utilized.
Results:
Among IPC patients, 10% of those discharged from the hospital were readmitted within 30 days. Factors associated with hospital readmission included being discharged from the hospital with no care in the home or to a nursing facility. Receipt of hospice or home-based palliative care post-discharge was associated with significantly lower odds of hospital readmission.
Conclusions:
This study found that receipt of palliative care following hospital discharge was an important factor in reducing 30-day hospital readmissions. Further study is needed to evaluate the effectiveness of longitudinal palliative care models in reducing 30-day hospital readmissions among seriously ill patients.
Introduction
The importance of considering the gaps in the palliative care consultation model for patients and families is being heightened by emerging models of payment and delivery stimulated by the Patient Protection and Affordable Care Act (ACA) and an increasing recognition that episodically oriented approaches to care don't serve chronic illness well. IPC services are provided during one discreet hospital episode and most lack mechanisms for continuity following hospital discharge. Underscoring a potential mismatch between a hospital-oriented model and what patients and families need, the majority of care in the last year of life takes place at home, provided largely by family members who are often untrained and ill prepared to address the myriad problems encountered by seriously ill patients.10–12 This lack of preparation and training may result in increased use of medical services; a recent study found that 77% of patients who went to the emergency department in the last 30 days of life were subsequently admitted to the hospital, and among those admitted, 68% died in the hospital. 13 With most people preferring to die at home,14–17 these hospital admissions and readmissions may lower quality of life for patients.17,18
Medical care in the last year of life is costly, accounting for 27% to 30% of annual Medicare expenditures.19–20 These high costs are driven by greater numbers and intensity of inpatient admissions,21,22 accounting for at least half of expenditures in the last year of life. 23 In fact, one study suggests that acute care in the last 30 days of life accounts for more than three-fourths of all costs of care in the last year of life. 23 With new ACA provisions of reducing Medicare reimbursement to hospitals with high readmissions rates coupled with high costs of care in the last year of life and potentially reduced quality of life for patients, understanding factors associated with hospital readmissions among seriously ill inpatients is critical.
This study identifies factors associated with readmissions in the 30 days following hospital discharge among seriously ill recipients of an IPC consult. Using the Anderson Behavioral Model of Health Service Use, which includes predisposing characteristics, enabling resources, need, and use of health services (e.g., hospice, home health care, nursing facilities) as a conceptual model guiding our study, we hypothesized that ethnicity, age, pain, anxiety, and discharge disposition would be related to30-day hospital readmissions.
Methods
We conducted a retrospective cohort study to identify factors associated with hospital readmissions in the 30 days following discharge among seriously ill patients receiving an IPC consult. Institutional review board approval was received from Kaiser Permanente Medical Center and the University of Southern California.
The sample consisted of seriously ill patients aged 65 and over who received an IPC consult between October 2007 and June 2009, and subsequently survived to hospital discharge. The study site was an urban non-profit health maintenance organization (HMO) medical center located in Los Angeles County.
IPC consult
IPC consultation observed the widely adopted model of an interdisciplinary team that included a physician, nurse, and social worker with a focus on pain and symptom control, psychosocial and spiritual support, and advance care planning. Other hospital specialists, including the hospital chaplain, were integrated into the patient care plan as needed. Generally, IPC consults included a family consultation and discipline-specific follow-up as needed. Services were consistent with the standard for palliative care consultation advocated by the National Consensus Project for Quality Palliative Care. 24 More information about the IPC model can be found elsewhere.6,25
Data collection and measures
Data were collected from IPC “dashboard,” consultation checklist, and medical service utilization records. The IPC dashboard included patient demographic and health information, collected through patient/caregiver interview and medical record review, along with a checklist of IPC interventions performed. Additionally, standard elements of the record included pain rating collected at hospital discharge along with the expected discharge disposition. Disposition included: 1) home with hospice care, 2) nursing facility, 3) home-based palliative care, 4) home without home care services provided, and 5) home with home health care. Home-based palliative care is a standard program with benefits similar to hospice but is offered for patients with an estimated prognosis of one year or less. Additionally, unlike hospice, enrollees in this program may continue to pursue curative and aggressive care. 26 For those discharged to a nursing facility, information of receipt of hospice care within the facility was unavailable. Pain was assessed using the 11-point number rating scale ranging from 0 to 10. 27 Anxiety was measured from an item taken from the Modified City of Hope Patient Questionnaire Emotional/Relationship Area Scales. 28 This item had a response scale of 0 to 10, with 10 indicating severe anxiety. Presence of an advance directive was measured before and after the consult, with data from the post-consult assessment used in this analysis. Hospital admission data were obtained from electronic medical-service-use records.
Analysis
We conducted descriptive analyses to describe the sample, with t tests or χ2 tests to compare characteristics between those who were and were not readmitted. The proportion of missing variables ranged from 0.7% to 11.8%. Listwise deletion of missing variables resulted in 76.5% complete cases. Based on these factors, we used multiple hotdeck imputation for all variables with missing data. The multiple hotdeck imputation approach enables us to obtain reliable parameter estimates with a >95% efficiency rate. 29
We chose independent variables to represent constructs in the Anderson Behavioral Model of Health Service Use. Probability of death was adjusted using the two-step Heckman correction method, commonly used to adjust for nonrandom patterns of missing data such as data related to mortality. 30 We conducted logistic regression to determine factors associated with 30-day hospital readmission, adjusting for covariates. Due to similarities in bivariate analysis between readmission rates for those enrolled in hospice and home-based palliative care, we combined these variables in the multivariate regression model. We conducted statistical analysis using statistical software IBM SPSS version 19 (IBM Corp., Armonk, NY), SAS (SAS Institute Inc., Cary, NC), and SOLAS 4.0 (Statistical Solutions, Saugus, MA).
Results
From October 2007 through June 2009, 484 patients aged 65 and over received IPC consults. Among these, 45 (9.3%) died during hospitalization, and 31 (6.4%) had missing medical service or disposition data, leaving 408 in the analytic sample. The mean age was 80.1 years (standard deviation [SD]=8.2) and about half (48.5%) were female. The sample was diverse: 37.5% were white, 22.5% Latino, 20.3% black, 7.8% were of other ethnic background, and 11.8% had missing data. Cancer was the most common primary diagnoses (34.3%) followed by congestive heart failure (CHF) (16.4%), dementia (11.8%), coronary artery disease (11.8%), and chronic obstructive pulmonary disease (COPD). More than half (58.8%) were discharged to hospice, 14.7% to home-based palliative care, 14.2% to a nursing facility, 8.6% to home with no care, and 3.7% to home with home health (Table 1). Nearly all (99.2%) admissions to hospice or home-based palliative care were new referrals.
Overall, 10.0% of those discharged from the hospital were readmitted within 30 days. Comparison of sample characteristics among those that were and were not readmitted revealed that 30-day readmitted patients were more likely to have CHF or end-stage renal disease and less likely to have an advance directive. Additionally, 30-day readmitted patients were more likely to have no emergency contact or a distant relative as an emergency contact (Table 1). They also were more likely to be discharged without care at home or to a nursing facility (Table 2). Among the 41 patients readmitted within 30 days, more than half (51%) were readmitted within 5 days and 78% were readmitted within 10 days of hospital discharge.
Predictors of 30-day hospital readmission
Two regression models were conducted. Model 1 presents findings related to patient characteristics, predisposing factors, and need. Model 2 adds the use of medical services during the post-discharge period. Model 1 revealed associations with 30-day hospital readmissions including not having an advance directive and having a higher probability of death. When use of post-discharge medical services was added to the model, significant predictors included being discharged from the hospital with no care in the home or to a nursing facility. Compared with individuals discharged under the care of hospice or home-based palliative care, those discharged without home care were 3.7 times and those discharged to nursing facilities were 5 times more likely to be readmitted within 30 days of discharge. Whereas not having an advance directive was a significant predictor in Model 1, this was not significant in Model 2. Probability of death was significantly associated with 30-day hospital readmission in Model 1; however, the effect is lost in Model 2 with the addition of hospital discharge disposition (Table 3).
CAD, coronary artery disease; CI, confidence interval; ESRD, end-stage renal disease; OR, odds ratio; IHPC, in-name palliative care; NF, nursing facility; SE, standard error of mean.
Discussion
This study found that, overall, 10% of seriously ill patients receiving an IPC consultation were readmitted in the 30 days following hospital discharge, and having hospice or home-based palliative care post-discharge was associated with significantly lower odds of hospital readmission. Moreover, the lowered rates were similar between the home-based palliative care group and the hospice group with 4.6% of those discharged to hospice and 8.3% of those discharged to home-based palliative care being readmitted, much lower compared with the 25.7% rate among those discharged home with no in-home care. A randomized controlled trial of a home-based palliative care model for seriously ill patients found that costs of care can be reduced by 38%, largely by reducing emergency room visits and hospitalizations and increasing in-home multidisciplinary care. 26 Additionally, a recent study found enrollment in hospice care was highly associated with lower rates of emergency department use in the last month of life. 13
Disease-specific case management studies also suggest that longitudinal monitoring and support may reduce avoidable hospitalization among high-risk patients. Meta-analyses of 18 studies of comprehensive discharge planning plus post-discharge support and 29 studies of multidisciplinary heart failure management teams found these models to be effective in reducing hospital readmissions, improving quality of life, and increasing survival rates.31,32 These findings underscore the potential benefit of longitudinal follow-up, with a systematic review characterizing the similarities between successful case management programs and palliative care services. 33
Our current study found the rate of readmission for our IPC patient sample was lower than the overall medical center 15% readmission rate among older adults, even when considering the sickness of the population under care. A previous randomized controlled trial of IPC found no difference in hospital readmissions between usual care and those receiving an IPC consult. 6 However, readmissions among seriously ill patients may entail significantly higher costs of care compared with the general population of older adults. A study of IPC patient costs found average costs per hospital episode ranged from $16,737 (nonterminal admission) to $30,494 (terminal admission). 34 Exacerbating these implications, the Center for Medicare and Medicaid Services will lower reimbursement rates for those hospitals with high levels of readmissions, beginning in 2013. Given the potential for higher odds of readmissions among those discharged to home with no in-home care, elevated costs of these readmissions, and the significant evidence attesting to the ability to save money through the provision of home-based palliative care, broadening access to these longitudinal palliative care programs may offset higher costs accrued from hospital readmissions and may even provide opportunity for additional cost savings. For example, costs of monthly palliative care services may average about $2,000, clearly offsetting hospital episodes that exceed $16,000 on average. 26
Although having an advance directive was not significantly associated with hospital readmission, others have found that end-of-life discussions are positively associated with having an advance directive and receiving hospice care. 23 A study of health care costs in the last week of life found that those who had not have an end-of-life discussion with their physician had 55% higher costs of medical care than those who had had discussions. 23 The addition of discharge disposition in the model reduced the significance level of this variable, understandable given that hospice services specifically include advance care planning. Other studies may not have had the comprehensive model that we used to examine this effect.
Our analysis has several limitations. As a study of a managed care medical center our findings may conservatively estimate the magnitude of this problem. The site for our study has cultivated particular excellence in home-based palliative care, which is generally unavailable elsewhere. However, this site provided an opportunity to examine the potential effects of services to promote earlier access to palliative care on hospital readmission rates. We are unable to determine if any of the patients discharged to a nursing facility received hospice, although the standard within the HMO does not include a full hospice team in nursing facilities. Additionally, as an administrative data analysis, we lack reasons for hospital readmission that might offer insight into the appropriateness of subsequent care. Disease progression and a new medical condition have been described as reasons for readmission among this population. 35 However, to the extent we could measure them, including the presence of pain, anxiety, and serious underlying illness including co-morbidity, our population had similar markers of advanced, debilitating illness.
This study, one of the first to examine hospital readmissions among seriously ill patients, found receipt of palliative care to be positively associated with lower odds of readmissions and provides preliminary evidence for the need for improved longitudinal access to palliative care for some seriously ill patients following IPC consult and hospital discharge. Longitudinal palliative care models provide a natural platform to support patients and caregivers if disease progresses and they experience increased complications. Further research is needed to test the effectiveness of such longitudinal models in reducing readmissions among seriously ill patients.
Footnotes
Acknowledgments
This study was supported in full by a career development award from the National Palliative Care Research Center (NPCRC). Evie Vesper was an employee of the health care organization at the time of the study.
Author Disclosure Statement
No competing financial interests exist.
