This cohort study examines the risk factors for long-term mortality and the patterns of end-of-life care among a national population of adult sepsis survivors who are Medicare fee-for-service beneficiaries and have been discharged to home health care.
Key Points
Question
What are the risk factors for long-term mortality and patterns of end-of-life care among sepsis survivors who are Medicare beneficiaries and have been discharged to home health care?
Findings
In this cohort study of 87 581 adult sepsis survivors who are Medicare fee-for-service beneficiaries and have been discharged to home health care, 1 in 4 survivors died within 1 year, and among the decedents, hospitalization and intensive care unit use in the last 30 days of life and in-hospital death were common. Several factors were found to be associated with an increased risk of mortality.
Meaning
The findings of this study suggest that home health assessments may provide an opportunity to identify high-risk sepsis survivors and target efforts to improve their end-of-life care.
Abstract
Importance
Despite a growing recognition of the increased mortality risk among sepsis survivors, little is known about the patterns of end-of-life care among this population.
Objective
To describe patterns of end-of-life care among a national sample of sepsis survivors and identify factors associated with long-term mortality risk and hospice use.
Design, Setting, and Participants
This cohort study assessed sepsis survivors who were Medicare fee-for-service beneficiaries discharged to home health care using national Medicare administrative, claims, and home health assessment data from 2013 to 2014. The initial and final primary analyses were conducted in July 2017 and from July to August 2019, respectively.
Exposures
Sepsis hospital discharge and 1 or more home health assessments within 1 week.
Main Outcomes and Measures
Outcomes were 1-year mortality among all sepsis survivors and hospitalization in the last 30 days of life, death in an acute care hospital, and hospice use among decedents. Multivariate logistic regression was used to identify factors associated with 1-year mortality and hospice use.
Results
Among 87 581 sepsis survivors who were Medicare fee-for-service beneficiaries discharged to home health care, 49 323 (56.3%) were aged 75 years or older, 69 499 (79.4%) were non-Hispanic white, and 48 472 (55.3%) were female. Among the total survivors, 24 423 (27.9%) people died within 1 year of discharge, with a median (interquartile range) survival time of 119 (51-220) days. Among these decedents, 16 684 (68.2%) were hospitalized in the last 30 days of life, 6560 (26.8%) died in an acute care hospital, and 12 573 (51.4%) were enrolled in hospice, with 5729 (45.6%) using hospice for 7 or fewer days. Several factors were associated with 1-year mortality, including a cancer diagnosis (odds ratio [OR], 3.66; 95% CI, 3.50-3.83; P < .001), multiple dependencies of activities of daily living or instrumental activities of daily living (OR, 2.80; 95% CI, 2.57-3.05; P < .001), and an overall poor health status (OR, 2.21; 95% CI, 2.01-2.44; P < .001) documented on home health assessment. Among the decedents, cancer was associated with hospice use (OR, 2.25; 95% CI, 2.11-2.41; P < .001), patients aged 85 years or older (OR, 1.49; 95% CI, 1.37-1.61; P < .001), and living in an assisted living setting (OR, 1.93; 95% CI, 1.69-2.19; P < .001).
Conclusions and Relevance
The findings of this study suggest that death within 1 year after sepsis discharge may be common among Medicare beneficiaries discharged to home health care. Although 1 in 2 decedents used hospice, aggressive care near the end of life and late hospice referral were common. Readily identifiable risk factors suggest opportunities to target efforts to improve palliative and end-of-life care among high-risk sepsis survivors.
Introduction
Although sepsis is common, reductions in hospital mortality have led to an increasing number of survivors,1,2 with more than 1 million patients being discharged after treatment of sepsis from United States hospitals each year.3 However, sepsis survivorship often comes at a cost, namely reduced health-related quality of life, cognitive and functional impairments,4 increased risks of hospital readmission,5,6,7 and long-term mortality risk.8,9,10,11 Amid a heightened awareness of these long-term consequences,12,13 improving the quality of post-sepsis care has become a global priority.13
Efforts to improve outcomes among sepsis survivors have largely focused on preventing or mitigating postdischarge morbidity and mortality. Nearly 1 in 2 sepsis survivors receive postacute care services, such as home health care, inpatient rehabilitation, and skilled nursing facility placement.5,14,15 Yet, the long-term risk of death after sepsis remains high compared with hospitalized patients without sepsis.7,9,16 Despite mounting evidence that sepsis survivorship is associated with increased mortality, little attention has been paid to the patterns of end-of-life care among this population. This is a particularly important evidence gap to fill in sepsis research considering the sustained national focus on improving the quality of end-of-life care for all seriously ill adults.17,18 Furthermore, as policy recommendations regarding optimal advance care planning practice and use of community-based palliative care services continue to evolve,19,20,21,22 it is important for sepsis survivors to be recognized as a potential population in need of these services.
In this national study, we assessed the risk of long-term mortality and end-of-life care among Medicare beneficiaries discharged to home health care after sepsis. Homes are common postacute care destinations after sepsis, second only to skilled care facilities.5,14,15 Annually, approximately 200 000 sepsis survivors are discharged to home to receive health care services such as skilled nursing, physical and occupational therapy, and health aid visits.15 Because home health care spending is projected to outpace any other national health expenditure over the next decade,14 it is essential to evaluate outcomes among this population. In the present study, 1-year mortality rates were assessed and factors associated with mortality were identified from the sepsis hospitalization and the initial home health assessment, including functional assessments. The rates of hospitalization among the decedents in the last 30 days of life, in-hospital death, and hospice use, were assessed and characteristics associated with hospice use were identified.
Methods
Data Sources and Study Population
This retrospective cohort study used Medicare administrative and claims files from calendar years 2013 and 2014 to identify patients with sepsis who were hospitalized and discharged to home health care between July 1, 2013, and December 31, 2013, and to evaluate hospice and mortality outcomes up to 1 year after hospital discharge. The files used included the Medicare Beneficiary Summary file, Medicare Inpatient Standard Analytic File (SAF), Outpatient SAF, Home Health SAF, Hospice SAF, Part B SAF, Chronic Conditions Warehouse (CCW), and US Census data.52 We linked these files with the Outcome and Assessment Information Set (OASIS)–C,23,24 a comprehensive, federally mandated assessment of patients’ health, social, cognitive, and functional status, which is completed on initiation of home health care services. This study was approved by the respective institutional review boards of the Visiting Nurse Service of New York and the University of Pennsylvania, with a waiver of informed consent under category 4 of the Federal Policy for the Protection of Human Subjects (45 CFR 46) in 2015. This report followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.25 Initial and final primary analyses were conducted in July 2017 and July and August 2019, respectively.
Sepsis was defined using a combination of 2 strategies given the limited sensitivity of sepsis identification from administrative claims.26 First, we used the International Classification of Diseases and Related Health Problems, Ninth Revision, Clinical Modification (ICD-9-CM) codes 995.91 (sepsis without organ dysfunction), 995.92 (severe sepsis), and 785.52 (septic shock), which were added to the ICD-9-CM codes in 2003 to improve accuracy of case identification.26 Second, we used the implicit approach developed by Angus and colleagues27 that requires an ICD-9-CM code for infection and end-organ dysfunction, which was initially developed using 1995 claims data and was subsequently validated using administrative claims from 2009 to 201028 and medical records from 2005 to 2009.26
Beneficiaries had to be at least 18 years of age and have received at least 1 home health care visit within 1 week of discharge. Beneficiaries with additional health care use (hospital readmission, observation unit stay, and hospice admission) before their first home health visit and those without complete OASIS-C data were excluded from the study. Finally, we included only the index sepsis discharge to home health care in this sample to ensure independence of observations.
Outcomes
The 1-year mortality among all sepsis survivors and hospice use among decedents were examined. The date of death was obtained from Medicare records and time to death was calculated from the discharge date of index hospital stay. The Inpatient SAF was used to identify hospitalization and intensive care unit (ICU) use within the last 30 days of life and acute care hospital as site of death. Hospice enrollment and length of stay were identified using the Hospice SAF, with late hospice referral defined as a hospice admission date 7 or fewer days prior to the date of death.29,30,31
Individual Characteristics
Medicare administrative data provided patients’ demographic characteristics, comorbidities, and clinical characteristics from the index sepsis discharge, including the admission type (Medicare Severity–Diagnosis Related Group [MS-DRG]), ICU use, and infection source. To address underreporting in claims data, ethnicity and median family income in the county where the patient lived were obtained from OASIS-C and census data, respectively, and a diagnosis of Alzheimer disease and associated dementias was obtained from the CCW.
The initial OASIS-C assessment was conducted by a trained home health clinician at the start of a new episode of home health care within 2 days of hospital discharge for 81% of the cohort (n = 70 941) and within 7 days for the remaining sample (n = 16 640). More than 100 items were assessed, including activities of daily living (ADLs), instrumental activities of daily living (IADLs), living arrangements, cognitive functioning, sensory and behavioral status, disease signs and symptoms by organ system, frailty, and overall health status.32,33
Statistical Analyses
Variables were summarized using frequencies and proportions for categorical data or means (SDs) and medians (interquartile ranges [IQRs]) for continuous data. Bivariate analyses were performed using a χ2 test to compare patient characteristics between decedents and survivors. Survival data were expressed as medians (IQRs), and analyses were performed using the Kaplan-Meier method, with censoring of all patients who remained alive 365 days after sepsis discharge.
Two multivariate logistic regression models were built using forward selection to examine the independent associations between patient characteristics and 1-year mortality among all sepsis survivors and hospice use among the decedents. Candidate covariates were selected a priori based on existing literature and clinical expertise and included those variables with a 2-sided P < .05 in the final multivariate models. Variance inflation factor diagnostic tests were used to check for collinearity between covariates and those with a value greater than 10 were excluded from the final models.34 Both final models included the following characteristics known before and during the index sepsis hospitalization: age, race/ethnicity, Medicaid status, comorbidities,35 sepsis severity, hospital-acquired sepsis, infection source, ICU admission, and surgical admission type. Items from the postdischarge OASIS-C home health assessment included in the final models are provided in Table 1 and include the following: risk for hospitalization, overall health status, living arrangement, impaired vision, number of medications, dyspnea, cognitive impairment, and the number of ADL or IADL dependencies. Categorical variables were collapsed in the final models based on the distribution of responses. Data completeness was excellent; 168 patients (1.9%) with an unknown or unclear or missing response for the overall status item on the home health assessment were excluded from the models.
Table 1. Characteristics of 87 581 Patients in the Medicare Sepsis Survivor Cohort Discharged to Home Health Care.
Characteristica | No. (%) of Patients |
---|---|
Age, y | |
<65b | 14 236 (16.3) |
65-74 | 24 022 (27.4) |
75-84 | 28 067 (32.0) |
≥85 | 21 256 (24.3) |
Race | |
Black | 10 744 (12.3) |
Non-Hispanic white | 69 499 (79.4) |
Hispanic | 4773 (5.5) |
Otherc | 2565 (2.9) |
Sex | |
Female | 48 472 (55.3) |
Male | 39 109 (44.7) |
Medicaid eligible | 23 381 (26.7) |
Annual family income, $, mean (SD) | 54 100 (14 810) |
Comorbidities | |
Hypertension | 60 474 (69.0) |
Fluid and electrolyte disorders | 48 439 (55.3) |
Deficiency anemias | 31 687 (36.2) |
Renal failure | 29 802 (34.0) |
Alzheimer disease and related disorders | 28 095 (32.1) |
Chronic pulmonary disease | 28 153 (32.1) |
Congestive heart failure | 21 479 (24.5) |
Diabetes without chronic complications | 24 943 (28.5) |
Metastatic cancer, lymphoma, or solid tumor without metastasisd | 11 427 (13.0) |
Hypothyroidism | 17 340 (19.8) |
Coagulopathy | 13 534 (15.5) |
Weight loss | 9693 (11.1) |
Other neurological disorders | 11 958 (13.7) |
Peripheral vascular disease | 10 469 (12.0) |
Depression | 11 950 (13.6) |
Obesity | 13 171 (15.0) |
Diabetes with chronic complications | 9672 (11.0) |
Total No. of comorbidities, mean (SD) | 4.35 (1.89) |
Infection source | |
Kidney, urinary tract, and other genitourinary | 36 202 (41.3) |
Pneumonia and other respiratory | 30 666 (35.0) |
Bone, joint, and skin/soft tissue | 13 458 (15.4) |
Gastrointestinal | 8721 (9.96) |
Device related | 3264 (3.73) |
Bacteremia | 1992 (2.27) |
Cardiovascular/endocarditis | 1263 (1.44) |
Postoperative | 1905 (2.18) |
Central nervous system | 331 (0.38) |
Other or unknown | 24 959 (28.5) |
Sepsis severity | |
Sepsis | 11 934 (13.6) |
Severe sepsis | 70 513 (80.5) |
Septic shock | 5134 (5.86) |
Intensive or cardiac care unit admission | 44 241 (50.5) |
Medical admission type | 70 135 (80.1) |
Home health assessment | |
Indicators for risk of hospitalizationb | |
Decline in mental, emotional, behavioral condition | 13 425 (15.3) |
Multiple hospitalizations (≥2 in past 12 mo) | 43 993 (50.2) |
Frailty indicators (weight loss, self-reported exhaustion) | 36 127 (41.2) |
Assessment of overall health status | |
Stable, no risks of complications or death | 4248 (4.9) |
Temporarily high risks but likely to return to stable condition | 42 081 (48.0) |
Fragile health/ongoing risks of complications/death | 33 950 (38.8) |
Serious progressive conditions that could lead to death within 1 y | 7134 (8.2) |
Unknown or missing | 168 (0.2) |
Vision | |
Normal | 17 529 (71.6) |
Partially impaired | 6297 (25.7) |
Severely impaired | 652 (2.7) |
Speech and oral expression | |
Expresses complex ideas/feelings/needs with no impairment | 50 830 (58.0) |
Minimal difficulty in expressing ideas and needs | 26 481 (30.2) |
Expresses simple ideas/needs with moderate difficulty | 6163 (7.0) |
Severe difficulty expressing simple ideas/needs | 2326 (2.7) |
Unable to express basic needs but not comatose or unresponsive | 1045 (1.2) |
Patient nonresponsive or unable to speak | 736 (0.8) |
Frequency of pain interfering with activity | |
No pain | 23 107 (26.4) |
Pain that does not interfere with activity or movement | 7814 (8.9) |
Less often than daily | 10 148 (11.6) |
Daily, but not constantly | 35 611 (40.7) |
All the time | 10 901 (12.4) |
Living arrangements | |
Lives alone | 16 404 (18.7) |
Lives with someone | 66 098 (75.5) |
Lives in congregate (eg, assisted living) | 5079 (5.8) |
Presence of dyspnea | |
Not short of breath | 19 056 (21.8) |
Walking >20 ft, climbing stairs | 18 467 (21.1) |
With moderate exertion | 28 987 (33.1) |
With minimal exertion | 16 193 (18.5) |
At rest (during day or night) | 4878 (5.6) |
Respiratory treatments needed | 23 791 (27.2) |
Cognitive function | |
Alert and/or oriented | 46 049 (52.6) |
Requires prompting | 27 893 (31.8) |
Requires assistance or direction | 8974 (10.2) |
Requires considerable assistance or direction | 3422 (3.9) |
Totally dependent | 1243 (1.4) |
No. of ADL or IADL dependencies | |
0-2 | 10 710 (12.2) |
3-5 | 22 317 (25.5) |
6-8 | 22 501 (25.7) |
9-11 | 24 492 (28.0) |
12-13 | 7561 (8.6) |
Abbreviations: ADL, activities of daily living; IADL, instrumental ADLs.
Percentages in each category may not add up to 100 owing to rounding.
Of the 14 236 Medicare beneficiaries aged younger than 65 years, 12 145 (85.3%) received disability insurance benefits, 600 (4.2%) received end-stage renal disease benefits, and 1458 (10.2%) received disability and end-stage renal disease benefits.
Other includes mixed race/ethnicity or not stated.
Includes patients with cancer diagnoses present within the 6 months prior to sepsis discharge date.
In secondary analyses, we included only covariates with a bivariate association of P < .001 to avoid overfitting the models. The results of these parsimonious models remained unchanged; thus, the results of the full explanatory models are presented. Analyses stratified by the presence of a cancer diagnosis, which has previously been shown to be associated with in-hospital mortality and hospice referral among sepsis readmissions, were also performed.8
For all analyses, given the large sample size, statistical testing was 2-sided with a significance threshold of P < .001, and results were preferentially judged by their clinical relevance. RStudio, version 3.3.1 (R Core Team), was used for descriptive statistics and statistical analyses. SAS, version 9.4 (SAS Institute Inc) was used for diagnostic variance inflation factor tests and Kaplan-Meier plot generation.
Results
The cohort included 87 581 sepsis survivors with Medicare insurance who were discharged to new home health care services between July 1, 2013, and December 31, 2013 (Figure 1). Among them, 49 323 (56.3%) patients were aged 75 years or older, 69 499 (79.4%) were non-Hispanic white, and 48 472 (55.3%) were women. Overall, patients had a mean (SD) total number of comorbidities of 4.35 (1.89), and 64 200 (73.3%) were not Medicaid-eligible (Table 1). Severe sepsis was observed in most cases (70 513 [80.5%]), with the genitourinary system being the most common infection source (36 202 [41.3%]), and only half of the patients (44 241 [50.5%]) having received care in an ICU during the index sepsis hospitalization. Home health care assessments after discharge suggested that half of the patients had at least 1 indicator of risk for hospitalization (43 993 [50.2%]) and dependency in more than 2 ADLs/IADLs (76 871 [87.8%]). Uncontrolled symptoms were common, with 46 512 (51.3%) of patients experiencing pain daily or constantly and 68 525 (78.3%) having dyspnea on exertion or at rest. Nearly half of the patients had at least mild limitations in cognitive function (41 532 [47.3%]) and speech (36 751 [41.9%]).
Nursing visits, which were received by 83 537 [95.4%] patients, were the most common home health care service provided within 7 days of sepsis discharge, followed by physical therapy (46 096 [52.6%]), occupational therapy (14 114 [16.1%]), and speech therapy (1897 [2.2%]). During the first week, 34 064 (38.9%) sepsis survivors were seen in the ambulatory setting by a medical professional.
Mortality and End-of-Life Health Care Use
Among the total survivors, 24 423 (27.9%) patients died within 1 year of discharge, with a median (IQR) survival time of 119 (51-220) days (Figure 2). The characteristics of decedents and survivors at 1 year after discharge differed in several patient-related, sepsis-related, and home health assessment characteristics (eTables 1 and 2 in the Supplement), most notably in the proportion of patients with a cancer diagnosis (decedents, 5965 [24.4%] vs survivors, 5462 [8.2%]; P < .001). Among all decedents, 16 684 (68.2%) were hospitalized, 10 190 (61.1%) were admitted to an ICU during the last 30 days of life, and 6560 (26.8%) died in an acute care hospital (Table 2). In total, 12 573 (51.4%) decedents were enrolled in hospice prior to death, with a median (IQR) time from sepsis discharge to hospice enrollment of 100 (36-199) days. The median (IQR) hospice length of stay was 10 (3-33) days, with 5729 (45.6%) of those enrolled receiving hospice services for 7 or fewer days prior to death.
Table 2. Acute Care and Hospice Use Among 24 423 Decedents.
Acute Care in Last 30 d of Life | No. (%) of Patients |
---|---|
Hospitalization | 16 684 (68.2) |
Intensive/cardiac care unit admission | 10 190 (61.1) |
Death in acute care hospital | 6560 (26.8) |
Hospice | |
Any hospice use | 12 573 (51.4) |
Days to enrollment from sepsis discharge, median (IQR) | 100 (36-199) |
Length of stay, median (IQR), d | 10 (3-33) |
Use ≤7 d | 5729 (45.6) |
Abbreviation: IQR, interquartile range.
Factors Independently Associated With Risk of 1-Year Mortality
In multivariate analyses, several factors were found to be independently associated with an increased risk of 1-year mortality (Table 3). Patient-level risk factors included older age (≥85 years, OR, 1.47; 95% CI, 1.40-1.54; P < .001) and the presence of comorbid conditions in general and cancer diagnosis in particular (OR, 3.66; 95% CI, 3.50-3.83; P < .001). Sepsis-related factors known at the time of discharge that were independently associated with an increased risk of 1-year mortality included severe sepsis (OR, 1.30; 95% CI, 1.23-1.37; P < .001), pneumonia and other respiratory infection source (OR, 1.14; 95% CI, 1.09-1.18; P < .001), and ICU use (OR, 1.07; 95% CI, 1.03-1.11; P < .001). Characteristics that appeared to be protective against mortality within the year after sepsis were age younger than 65 years, female sex, obesity, hypertension, and postoperative infection, or a surgical admission during the index sepsis admission.
Table 3. Multivariate Regression Results for 1-Year Mortality Among All Sepsis Survivors and Hospice Enrollment Among Decedents.
Characteristic | Death Within 1 y of Sepsis Discharge, OR (95% CI) (n = 87 413) | P Value | Hospice Enrollment Among Decedents, OR (95% CI) (n = 24 423) | P Value |
---|---|---|---|---|
Demographic | ||||
Age, y | ||||
65-74 | 1 [Reference] | 1 [Reference] | ||
<65 | 0.84 (0.79-0.89) | <.001 | 0.76 (0.69-0.84) | <.001 |
75-84 | 1.08 (1.03-1.13) | <.001 | 1.23 (1.14-1.32) | <.001 |
≥85 | 1.47 (1.40-1.54) | <.001 | 1.49 (1.37-1.61) | <.001 |
Race/ethnicity | ||||
Non-Hispanic white | 1 [Reference] | 1 [Reference] | ||
Black | 1.04 (0.98-1.09) | .12 | 0.67 (0.61-0.73) | <.001 |
Hispanic | 0.91 (0.84-0.98) | .01 | 0.81 (0.71-0.92) | .001 |
Other | 0.84 (0.76-0.92) | <.001 | 0.64 (0.54-0.76) | <.001 |
Sex | ||||
Female | 0.85 (0.82-0.87) | <.001 | 1.11 (1.05-1.17) | <.001 |
Medicaid eligible | 0.94 (0.90-0.98) | .005 | 0.77 (0.72-0.82) | <.001 |
Comorbidities | ||||
Metastatic cancer, lymphoma, solid tumor without metastasis | 3.66 (3.50-3.83) | <.001 | 2.25 (2.11-2.41) | <.001 |
Hypertension | 0.87 (0.84-0.90) | <.001 | 0.95 (0.89-1.00) | .06 |
Fluid and electrolyte disorders | 1.03 (1.00-1.07) | .05 | 0.99 (0.94-1.05) | .76 |
Deficiency anemias | 1.18 (1.14-1.22) | <.001 | 1.02 (0.97-1.08) | .48 |
Renal failure | 1.37 (1.32-1.42) | <.001 | 0.94 (0.88-0.99) | .02 |
Chronic pulmonary disease | 1.18 (1.14-1.23) | <.001 | 0.89 (0.84-0.95) | <.001 |
Diabetes | 0.99 (0.96-1.03) | .63 | 0.90 (0.85-0.96) | <.001 |
Congestive heart failure | 1.35 (1.30-1.40) | <.001 | 0.85 (0.80-0.90) | <.001 |
Obesity | 0.76 (0.69-0.76) | <.001 | 0.84 (0.76-0.92) | <.001 |
Depression | 0.93 (0.89-0.98) | .003 | 1.13 (1.04-1.23) | .003 |
Peripheral vascular disease | 1.20 (1.14-1.26) | <.001 | 0.84 (0.77-0.91) | <.001 |
Weight loss | 1.50 (1.43-1.58) | <.001 | 1.06 (0.98-1.14) | .15 |
Alzheimer disease and associated disorders | 1.13 (1.09-1.18) | <.001 | 1.09 (1.02-1.16) | .009 |
Index Sepsis Discharge | ||||
Sepsis infection source | ||||
Bone/joint/skin/tissue | 1.03 (0.98-1.08) | .30 | 0.78 (0.72-0.85) | <.001 |
Central nervous system | 0.71 (0.51-0.97) | .03 | 0.75 (0.41-1.35) | .33 |
Pneumonia and other respiratory | 1.14 (1.09-1.18) | <.001 | 0.94 (0.89-1.00) | .04 |
Postoperative | 0.58 (0.51-0.67) | <.001 | 1.02 (0.79-1.31) | .89 |
Sepsis severity | ||||
Sepsis | 1 [Reference] | 1 [Reference] | ||
Severe sepsis | 1.30 (1.23-1.37) | <.001 | 1.04 (0.96-1.14) | .35 |
Septic shock | 1.14 (1.05-1.24) | .003 | 0.88 (0.76-1.01) | .06 |
Intensive or cardiac care unit admission | 1.07 (1.03-1.11) | <.001 | 0.91 (0.86-0.96) | <.001 |
Surgical admission type | 0.70 (0.67-0.73) | <.001 | 0.90 (0.83-0.98) | .01 |
Home Health Assessment Within 7 d of Sepsis Discharge | ||||
Indicators for risk of hospitalization on home health assessment | ||||
No risks | 1 [Reference] | 1 [Reference] | ||
Decline in mental, emotional, or behavioral condition | 0.99 (0.95-1.04) | .63 | 1.05 (0.98-1.13) | .18 |
Multiple hospitalizations (≥2 in past 12 mo) | 1.21 (1.17-1.26) | <.001 | 1.01 (0.96-1.07) | .75 |
Frailty indicators (weight loss, self-reported exhaustion) | 1.07 (1.03-1.11) | <.001 | 1.04 (0.98-1.10) | .19 |
Assessment of overall health statusa | ||||
No risk | 1 [Reference] | 1 [Reference] | ||
Temporarily high risks but likely to return to stable condition | 0.96 (0.88-1.04) | .35 | 1.02 (0.88-1.19) | .76 |
Fragile health/ongoing risks of complications or death | 1.39 (1.27-1.51) | <.001 | 1.23 (1.06-1.43) | .008 |
Serious progressive conditions that could lead to death within 1 y | 2.21 (2.01-2.44) | <.001 | 1.40 (1.19-1.65) | <.001 |
Vision | ||||
No impairment | 1 [Reference] | 1 [Reference] | ||
Partially impaired | 0.96 (0.93-1.00) | .81 | 0.98 (0.92-1.05) | .57 |
Severely impaired | 0.97 (0.87-1.08) | .61 | 1.07 (0.90-1.27) | .46 |
Speech and oral expression | ||||
No impairment | 1 [Reference] | 1 [Reference] | ||
Minimal impairment | 1.02 (0.98-1.07) | .34 | 1.01 (0.94-1.09) | .78 |
Moderate to severe impairment | 1.09 (1.02-1.17) | .01 | 1.11 (0.99-1.24) | .07 |
Unable to speak | 1.13 (0.99-1.30) | .07 | 0.94 (0.76-1.15) | .53 |
Cognitive function | ||||
No impairment | 1 [Reference] | 1 [Reference] | ||
Mild | 0.99 (0.95-1.04) | .78 | 1.07 (1.00-1.15) | .06 |
Moderate | 1.15 (1.04-1.26) | .006 | 1.14 (0.98-1.32) | .09 |
Severe | 1.08 (0.92-1.27) | .35 | 0.78 (0.62-0.98) | .04 |
Living arrangements | ||||
Lives alone | 1 [Reference] | 1 [Reference] | ||
Lives with someone | 1.07 (1.02-1.12) | .003 | 1.16 (1.08-1.26) | <.001 |
Lives in congregate (eg, assisted living) | 1.21 (1.12-1.31) | <.001 | 1.93 (1.69-2.19) | <.001 |
ADL and/or IADL dependencies | ||||
0-2 | 1 [Reference] | 1 [Reference] | ||
3-5 | 1.12 (1.05-1.19) | <.001 | 1.18 (1.05-1.33) | .005 |
6-8 | 1.34 (1.25-1.43) | <.001 | 1.16 (1.04-1.31) | .01 |
9-11 | 1.90 (1.78-2.03) | <.001 | 1.22 (1.08-1.37) | .001 |
12-13 | 2.80 (2.57-3.05) | <.001 | 1.15 (0.99-1.32) | <.07 |
Presence of dyspnea | ||||
Not short of breath | 1 [Reference] | 1 [Reference] | ||
With moderate exertion/walking >20 ft, climbing stairs | 1.10 (1.05-1.16) | .02 | 0.94 (0.87-1.03) | .21 |
With minimal exertion | 1.30 (1.23-1.37) | <.001 | 0.95 (0.86-1.04) | .02 |
At rest (during day or night) | 1.53 (1.42-1.66) | <.001 | 0.87 (0.78-0.99) | .03 |
Frequency of pain interfering with activity | ||||
No pain | 1 [Reference] | 1 [Reference] | ||
Sometimes | 0.90 (0.86-0.95) | <.001 | 1.00 (0.92-1.08) | .94 |
Often | 0.90 (0.86-0.94) | <.001 | 0.98 (0.92-1.05) | .59 |
Log likelihood | −45 212.91 | −15 825.15 | ||
Akaike information criterion | 90 537.81 | 31 762.31 |
Abbreviations: ADL, activities of daily living; IADL, instrumental ADLs; OR, odds ratio.
Patients with an “unknown or unclear” or missing response for overall health status were excluded from regression analyses (n = 168).
The initial home health care assessment identified several additional factors that were independently associated with an increased risk of 1-year mortality, including dependence in multiple ADLs/IADLs (OR, 2.80; 95% CI, 2.57-3.05; P < .001), dyspnea at rest (OR, 1.53; 95% CI, 1.42-1.66; P < .001), 2 or more hospitalizations in the past 12 months (OR, 1.21; 95% CI, 1.17-1.26; P < .001), frailty (OR, 1.07; 95% CI, 1.03-1.11; P < .001), living in an assisted living setting (OR, 1.21; 95% CI, 1.12-1.31; P < .001), and an overall poor health status (OR, 2.21; 95% CI, 2.01-2.44; P < .001).
Factors Independently Associated With Hospice Use
Several sociodemographic and clinical factors were independently associated with higher odds of receiving hospice care prior to death, including older age (≥75 years: OR, 1.23; 95% CI, 1.14-1.32; ≥85 years: OR, 1.49; 95% CI, 1.37-1.61; P < .001), female sex (OR, 1.11; 95% CI, 1.05-1.17; P < .001), and a cancer diagnosis (OR, 2.25; 95% CI, 2.11-2.41; P < .001). Similar to the mortality model, the postdischarge initial home health assessment identified additional factors independently associated with increased odds of hospice use independent of patient-related and sepsis-related factors, including an overall poor health status (OR, 1.40; 95% CI, 1.19-1.65 P < .001) and living with someone (OR, 1.16; 95% CI, 1.08-1.26; P < .001) or in an assisted living setting (OR, 1.93; 95% CI, 1.69-2.19; P < .001) (Table 3). Of note, multiple factors were independently associated with significantly reduced odds of hospice use, including age younger than 65 years (OR, 0.76; 95% CI, 0.69-0.84; P < .001), non-Hispanic white race (OR, 0.77; 95% CI, 0.72-0.82), being Medicaid-eligible (OR, 0.77; 95% CI, 0.72-0.82; P < .001), noncancer comorbidities (chronic pulmonary disease, heart failure, diabetes, obesity, and peripheral vascular disease), ICU use (OR, 0.91; 95% CI, 0.86-0.96; P < .001), or a bone/joint/skin/tissue infection source (OR, 0.78; 95% CI, 0.72-0.85; P < .001) during the index sepsis stay.
Role of Cancer in Mortality and Hospice Use After Sepsis
In this cohort, 11 427 (13.0%) sepsis survivors discharged to home health care services had a cancer diagnosis. Among them, older age (≥85 years: OR, 1.09; 95% CI, 0.95-1.23; P = .21) and the source and severity of sepsis were no longer significantly associated with 1-year mortality. Of note, dependence in multiple ADLs/IADLs (OR, 2.55; 95% CI, 2.01-3.23; P < .001) and an overall poor health status (OR, 2.98; 95% CI, 2.33-3.80; P < .001) after discharge remained independently associated. Among the 5965 (24.4%) decedents with cancer, age and sex were no longer associated with hospice use. Complete results from stratified analyses are given in eTables 3 and 4 in the Supplement.
Discussion
In this national cohort study, we examined risk factors for long-term mortality and patterns of end-of-life care among sepsis survivors who were Medicare beneficiaries and were discharged to home health care. More than one-quarter of patients died in the year following discharge, with most deaths occurring within 6 months. Two-thirds of the decedents were admitted to a hospital in the last 30 days of life where more than half received care in an ICU and 1 in 4 died. We also identified several patient-related, sepsis-related, and home health assessment factors associated with mortality and hospice use after sepsis survivorship.
The 1-year mortality rate among sepsis survivors in the present study is within the range previously reported in the literature.9,16,36 Shankar-Hari et al16 and Yende et al36 recently reported 1-year mortality rates of 15% and 17.6%, respectively, among relatively young and previously healthy patients with few comorbidities and high rates of prehospital functional independence. In contrast, Prescott et al9 found a 1-year mortality rate of 48.5% among sepsis survivors in the Health and Retirement Study cohort, which includes an older population with multiple comorbidities and at least some functional dependence at baseline. The most likely explanation for such a wide range in mortality rates is the variation in the populations studied. Although patterns over time in the risk of long-term mortality after sepsis have not been described, if the pattern follows the decline seen in acute sepsis mortality over the past decade,2 the more contemporary data used in this study may further explain the lower mortality rate observed compared with that observed by Prescott et al.9 Finally, the present study focused on the Medicare home health care population, which tends to be older and sicker and more likely to live below the federal poverty level compared with general Medicare beneficiaries.37 However, whether and how much home health care is associated with long-term sepsis survivorship remains unknown and warrants further study.
The present study’s results support previous reports of older age, male sex, medical admission type, comorbidities, and cancer in particular, being important risk factors for long-term mortality after sepsis.16,38 Additional sepsis-related risk factors were identified, including severe sepsis, respiratory infection source, and ICU use. Such information may be useful to guide future efforts to develop and test risk stratification models among sepsis survivors, which may facilitate tailoring postdischarge care decisions. For example, the optimal intensity and timing of postacute care services39 and follow-up with primary care clinicians40 for sepsis survivors is unknown.
Several factors were identified on the home health care assessment after discharge that were associated with death within 1 year, independent of the foregoing patient-related and sepsis-related factors. Such factors included dyspnea at rest, 2 or more hospitalizations in the past 12 months, living in an assisted living setting, and an overall poor health status. In addition, similar to recent findings among Medicare sepsis survivors discharged to a skilled nursing facility,41 dependence in multiple ADLs was an independent risk factor for mortality after sepsis in this home health care population. Moreover, we found a high prevalence of uncontrolled pain and dyspnea after discharge, 2 of the most common reasons for emergency department visits and readmissions among chronically ill patients.42,43 These findings suggest that there is a unique opportunity for trained home health care clinicians to identify high-risk sepsis survivors and facilitate targeted interventions. For example, such patients may benefit from more frequent contact with their primary care or specialty clinicians, advance care planning, palliative care consultation, or even hospice referral in some cases. Patients referred to hospice from nonhospital sources are more likely to receive end-of-life care consistent with the preferences of most patients in the United States facing serious illness, including continuous home hospice care and dying at home.29,44
Among the decedents in this cohort, we found that approximately two-thirds were admitted to the ICU in the last 30 days of life, which is a rate nearly 3 times that recently reported among all Medicare fee-for-service beneficiaries during a similar time frame.45 Furthermore, ICU use during the index sepsis stay was associated with lower odds of subsequent hospice use prior to death despite being associated with significantly increased risk of mortality. Although this observational study could not determine causality, we believe that prior ICU use as a potential barrier to hospice enrollment is an important area for further exploration. It is possible that for patients who recently survived a sepsis hospitalization and often an ICU stay, patients, families, and clinicians alike may rely on that past performance to predict the future.46 Such performance heuristics are common in medical decision-making, and often serve as a barrier to seeing the overall trajectory of functional decline that is common among patients with chronic illness.47
Although the rate of hospice enrollment among the decedents in this home health sepsis cohort was similar to a recent report among a general Medicare fee-for-service population,45 the median hospice length of stay in the present study was considerably shorter. This finding suggests a missed opportunity within home health care to improve end-of-life care, supported by the finding that the median time to hospice admission was 100 days from sepsis discharge. For example, patients with a diagnosis of heart failure, chronic pulmonary disease, or peripheral vascular disease in this cohort had considerably increased mortality risk, yet they were less likely to receive hospice care. Thus, earlier disease-specific interventions to improve end-of-life care in this population may be needed.
Limitations
This study has limitations. First, although this study offers an important first look at mortality risk and end-of-life care outcomes among sepsis survivors discharged to home health care, these results may not be generalizable to other sepsis populations, such as those discharged to home without home health care or those discharged to institutional postacute care. Prospective observational studies, designed to confirm whether functional and overall health status assessment are associated with mortality among sepsis survivors discharged to home, are needed. Second, given the inherent limitations of identifying sepsis survivors using administrative claims, future studies may benefit from sepsis identification from electronic clinical records in accordance with current international sepsis definitions.48 Third, a comparison group of nonsepsis hospital discharges to home health care was not available to quantify how many of the present study’s findings are directly attributable to sepsis vs other diagnoses with home health care. We were also unable to examine in this retrospective study whether the outcomes were mediated by types of home health care services received owing to unmeasurable indication bias. Prior studies have found mixed evidence for the efficacy of physical or occupational therapy after sepsis49,50; consequently, pragmatic randomized trials are needed. In addition, we acknowledge that patient preferences regarding end-of-life care were unknown for this cohort such that it was not possible to assess whether hospitalization near the end of life or dying in the hospital reflected goal-concordant care in some cases.51
Conclusions
Improvements in sepsis care have led to an increase in short-term survival, yet long-term mortality rates after hospital discharge remain high. Many sepsis survivors have readily identifiable characteristics that are associated with an increased risk of death, which may help direct interventions that mitigate the high rates of aggressive and intensive care experienced near the end of life among this population. Further research is needed to understand the association of postacute care services with mortality risk and end-of-life outcomes among sepsis survivors.
References
- 1.Iwashyna TJ, Cooke CR, Wunsch H, Kahn JM. Population burden of long-term survivorship after severe sepsis in older Americans. J Am Geriatr Soc. 2012;60(6):-. doi: 10.1111/j.1532-5415.2012.03989.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Meyer N, Harhay MO, Small DS, et al. . Temporal trends in incidence, sepsis-related mortality, and hospital-based acute care after sepsis. Crit Care Med. 2018;46(3):354-360. doi: 10.1097/CCM.0000000000002872 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Gaieski DF, Edwards JM, Kallan MJ, Carr BG. Benchmarking the incidence and mortality of severe sepsis in the United States. Crit Care Med. 2013;41(5):1167-1174. doi: 10.1097/CCM.0b013e31827c09f8 [DOI] [PubMed] [Google Scholar]
- 4.Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-1794. doi: 10.1001/jama.2010.1553 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jones TK, Fuchs BD, Small DS, et al. . Post-acute care use and hospital readmission after sepsis. Ann Am Thorac Soc. 2015;12(6):904-913. doi: 10.1513/AnnalsATS.201411-504OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ortego A, Gaieski DF, Fuchs BD, et al. . Hospital-based acute care use in survivors of septic shock. Crit Care Med. 2015;43(4):729-737. doi: 10.1097/CCM.0000000000000693 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Prescott HC, Langa KM, Liu V, Escobar GJ, Iwashyna TJ. Increased 1-year healthcare use in survivors of severe sepsis. Am J Respir Crit Care Med. 2014;190(1):62-69. doi: 10.1164/rccm.201403-0471OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Dietz BW, Jones TK, Small DS, Gaieski DF, Mikkelsen ME. The relationship between index hospitalizations, sepsis, and death or transition to hospice during 30-day hospital readmissions. Med Care. 2017;55(4):362-370. doi: 10.1097/MLR.0000000000000669 [DOI] [PubMed] [Google Scholar]
- 9.Prescott HC, Sjoding MW, Langa KM, Iwashyna TJ, McAuley DF. Late mortality after acute hypoxic respiratory failure. Thorax. 2017;thoraxjnl-2017-210109. doi: 10.1136/thoraxjnl-2017-210109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Quartin AA, Schein RM, Kett DH, Peduzzi PN; Department of Veterans Affairs Systemic Sepsis Cooperative Studies Group . Magnitude and duration of the effect of sepsis on survival. JAMA. 1997;277(13):1058-1063. doi: 10.1001/jama.1997.03540370048035 [DOI] [PubMed] [Google Scholar]
- 11.Wang HE, Szychowski JM, Griffin R, Safford MM, Shapiro NI, Howard G. Long-term mortality after community-acquired sepsis: a longitudinal population-based cohort study. BMJ Open. 2014;4(1):e004283. doi: 10.1136/bmjopen-2013-004283 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Maley JH, Mikkelsen ME. Short-term gains with long-term consequences: the evolving story of sepsis survivorship. Clin Chest Med. 2016;37(2):367-380. doi: 10.1016/j.ccm.2016.01.017 [DOI] [PubMed] [Google Scholar]
- 13.Prescott HC, Angus DC. Enhancing recovery from sepsis: a review. JAMA. 2018;319(1):62-75. doi: 10.1001/jama.2017.17687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.HCUP website. An all-payer view of hospital discharge to postacute care, 2013. https://hcup-us.ahrq.gov/reports/statbriefs/sb205-Hospital-Discharge-Postacute-Care.jsp. Accessed December 19, 2019. [PubMed]
- 15.Lee JT, Mikkelsen ME, Qi M, Werner RM. Trends in post-acute care use after admissions for sepsis. Ann Am Thorac Soc.2020;17(1):118-121. doi: 10.1513/AnnalsATS.201905-368RL [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Shankar-Hari M, Harrison DA, Ferrando-Vivas P, Rubenfeld GD, Rowan K. Risk factors at index hospitalization associated with longer-term mortality in adult sepsis survivors. JAMA Netw Open. 2019;2(5):e194900. doi: 10.1001/jamanetworkopen.2019.4900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Institute of Medicine Dying in America: Improving Quality and Honoring Individual Preferences Near the End of Life. Washington, DC: National Academies Press; 2014. [PubMed] [Google Scholar]
- 18.Teno JM, Gozalo PL, Bynum JP, et al. . Change in end-of-life care for Medicare beneficiaries: site of death, place of care, and health care transitions in 2000, 2005, and 2009. JAMA. 2013;309(5):470-477. doi: 10.1001/jama.2012.207624 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Naylor MD, Aiken LH, Kurtzman ET, Olds DM, Hirschman KB. The care span: the importance of transitional care in achieving health reform. Health Aff (Millwood). 2011;30(4):746-754. doi: 10.1377/hlthaff.2011.0041 [DOI] [PubMed] [Google Scholar]
- 20.Meier DE, Back AL, Berman A, Block SD, Corrigan JM, Morrison RS. A national strategy for palliative care. Health Aff (Millwood). 2017;36(7):1265-1273. doi: 10.1377/hlthaff.2017.0164 [DOI] [PubMed] [Google Scholar]
- 21.Ferrell BR, Twaddle ML, Melnick A, Meier DE. National Consensus Project Clinical Practice Guidelines for Quality Palliative Care Guidelines, 4th Edition. J Palliat Med. 2018;21(12):1684-1689. doi: 10.1089/jpm.2018.0431 [DOI] [PubMed] [Google Scholar]
- 22.Rietjens JAC, Sudore RL, Connolly M, et al. ; European Association for Palliative Care . Definition and recommendations for advance care planning: an international consensus supported by the European Association for Palliative Care. Lancet Oncol. 2017;18(9):e543-e551. doi: 10.1016/S1470-2045(17)30582-X [DOI] [PubMed] [Google Scholar]
- 23.Kinatukara S, Rosati RJ, Huang L. Assessment of OASIS reliability and validity using several methodological approaches. Home Health Care Serv Q. 2005;24(3):23-38. doi: 10.1300/J027v24n03_02 [DOI] [PubMed] [Google Scholar]
- 24.O’Connor M, Davitt JK. The Outcome and Assessment Information Set (OASIS): a review of validity and reliability. Home Health Care Serv Q. 2012;31(4):267-301. doi: 10.1080/01621424.2012.703908 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative . The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147(8):573-577. doi: 10.7326/0003-4819-147-8-200710160-00010 [DOI] [PubMed] [Google Scholar]
- 26.Whittaker SA, Mikkelsen ME, Gaieski DF, Koshy S, Kean C, Fuchs BD. Severe sepsis cohorts derived from claims-based strategies appear to be biased toward a more severely ill patient population. Crit Care Med. 2013;41(4):945-953. doi: 10.1097/CCM.0b013e31827466f1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001;29(7):1303-1310. doi: 10.1097/00003246-200107000-00002 [DOI] [PubMed] [Google Scholar]
- 28.Iwashyna TJ, Odden A, Rohde J, et al. . Identifying patients with severe sepsis using administrative claims: patient-level validation of the Angus implementation of the international consensus conference definition of severe sepsis. Med Care. 2014;52(6):e39-e43. doi: 10.1097/MLR.0b013e318268ac86 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Miller SC, Kinzbrunner B, Pettit P, Williams JR. How does the timing of hospice referral influence hospice care in the last days of life? J Am Geriatr Soc. 2003;51(6):798-806. doi: 10.1046/j.1365-2389.2003.51253.x [DOI] [PubMed] [Google Scholar]
- 30.Rickerson E, Harrold J, Kapo J, Carroll JT, Casarett D. Timing of hospice referral and families’ perceptions of services: are earlier hospice referrals better? J Am Geriatr Soc. 2005;53(5):819-823. doi: 10.1111/j.1532-5415.2005.53259.x [DOI] [PubMed] [Google Scholar]
- 31.Schockett ER, Teno JM, Miller SC, Stuart B. Late referral to hospice and bereaved family member perception of quality of end-of-life care. J Pain Symptom Manage. 2005;30(5):400-407. doi: 10.1016/j.jpainsymman.2005.04.013 [DOI] [PubMed] [Google Scholar]
- 32.Dumanovsky T, Augustin R, Rogers M, Lettang K, Meier DE, Morrison RS. The growth of palliative care in U.S. hospitals: a status report. J Palliat Med. 2016;19(1):8-15. doi: 10.1089/jpm.2015.0351 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Murtaugh CM, Deb P, Zhu C, et al. . Reducing readmissions among heart failure patients discharged to home health care: effectiveness of early and intensive nursing services and early physician follow-up. Health Serv Res. 2017;52(4):1445-1472. doi: 10.1111/1475-6773.12537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Belsley DA, Kuh E, Welsch RE. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York, NY: Wiley; 1980. doi: 10.1002/0471725153 [DOI] [Google Scholar]
- 35.Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8-27. doi: 10.1097/00005650-199801000-00004 [DOI] [PubMed] [Google Scholar]
- 36.Yende S, Kellum JA, Talisa VB, et al. . Long-term host immune response trajectories among hospitalized patients with sepsis. JAMA Netw Open. 2019;2(8):e198686. doi: 10.1001/jamanetworkopen.2019.8686 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Avalere Health. Home Health Chartbook 2017: Prepared for the Alliance for Home Health Quality and Innovation. https://www.ahhqi.org/research/home-health-chartbook. Published March 2017. Accessed January 22, 2020.
- 38.Francisco J, Aragão I, Cardoso T. Risk factors for long-term mortality in patients admitted with severe infection. BMC Infect Dis. 2018;18(1):161. doi: 10.1186/s12879-018-3054-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Bowles KH, Ratcliffe SJ, Holmes JH, et al. . Using a decision support algorithm for referrals to post-acute care. J Am Med Dir Assoc. 2019;20(4):408-413. doi: 10.1016/j.jamda.2018.08.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Deb P, Murtaugh CM, Bowles KH, et al. . Does early follow-up improve the outcomes of sepsis survivors discharged to home health care? Med Care. 2019;57(8):633-640. doi: 10.1097/MLR.0000000000001152 [DOI] [PubMed] [Google Scholar]
- 41.Ehlenbach WJ, Gilmore-Bykovskyi A, Repplinger MD, et al. . sepsis survivors admitted to skilled nursing facilities: cognitive impairment, activities of daily living dependence, and survival. Crit Care Med. 2018;46(1):37-44. doi: 10.1097/CCM.0000000000002755 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Mayer DK, Travers D, Wyss A, Leak A, Waller A. Why do patients with cancer visit emergency departments? results of a 2008 population study in North Carolina. J Clin Oncol. 2011;29(19):2683-2688. doi: 10.1200/JCO.2010.34.2816 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Raghavan D, Bartter T, Joshi M. How to reduce hospital readmissions in chronic obstructive pulmonary disease? Curr Opin Pulm Med. 2016;22(2):106-112. doi: 10.1097/MCP.0000000000000245 [DOI] [PubMed] [Google Scholar]
- 44.Higginson IJ, Sen-Gupta GJ. Place of care in advanced cancer: a qualitative systematic literature review of patient preferences. J Palliat Med. 2000;3(3):287-300. doi: 10.1089/jpm.2000.3.287 [DOI] [PubMed] [Google Scholar]
- 45.Teno JM, Gozalo P, Trivedi AN, et al. . Site of death, place of care, and health care transitions among US Medicare beneficiaries, 2000-2015. JAMA. 2018;320(3):264-271. doi: 10.1001/jama.2018.8981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Critcher CR, Rosenzweig EL. The performance heuristic: a misguided reliance on past success when predicting prospects for improvement. J Exp Psychol Gen. 2014;143(2):480-485. doi: 10.1037/a0034129 [DOI] [PubMed] [Google Scholar]
- 47.Lunney JR, Lynn J, Foley DJ, Lipson S, Guralnik JM. Patterns of functional decline at the end of life. JAMA. 2003;289(18):2387-2392. doi: 10.1001/jama.289.18.2387 [DOI] [PubMed] [Google Scholar]
- 48.Rhee C, Kadri S, Huang SS, et al. . Objective sepsis surveillance using electronic clinical data. Infect Control Hosp Epidemiol. 2016;37(2):163-171. doi: 10.1017/ice.2015.264 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Chao PW, Shih CJ, Lee YJ, et al. . Association of postdischarge rehabilitation with mortality in intensive care unit survivors of sepsis. Am J Respir Crit Care Med. 2014;190(9):1003-1011. doi: 10.1164/rccm.201406-1170OC [DOI] [PubMed] [Google Scholar]
- 50.Elliott D, McKinley S, Alison J, et al. . Health-related quality of life and physical recovery after a critical illness: a multi-centre randomised controlled trial of a home-based physical rehabilitation program. Crit Care. 2011;15(3):R142. doi: 10.1186/cc10265 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Halpern SD. Goal-concordant care—searching for the Holy Grail. N Engl J Med. 2019;381(17):1603-1606. doi: 10.1056/NEJMp1908153 [DOI] [PubMed] [Google Scholar]
- 52.Centers for Medicare & Medicaid Research Data Assistance Center. https://www.resdac.org/. Accessed January 15, 2020.
Associated Data
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