Abstract
Background: Despite its importance, little is known about the prevalence of, and factors associated with, end-of-life care that is consistent with patients' wishes.
Objective: To document the proportion of bereaved respondents who reported care inconsistent with patients' wishes and characterize the predictors of end-of-life care associated with inconsistent care.
Design: Retrospective analysis of nationally representative survey data of persons aged >65 years.
Settings/Subjects: Bereaved family members responding to the last month of life component of the National Health and Aging Trends Study.
Methods/Measurements: Bereaved family members assessed treatment decisions and their consistency with patients' wishes, unmet needs, and quality of care. We examined differences between patients receiving inconsistent versus consistent care.
Results: A total of 1212 family members were interviewed, representing (when weighted) 4.8 million decedents. Thirteen percent stated that care was inconsistent with decedent's wishes. Consistent care was unassociated with patient's sex, age, or race/ethnicity. Death at home was more likely to represent consistent care, and death in the hospital or nursing home was more likely to represent inconsistent care (p = 0.052). Respondents reporting inconsistent care were more likely to rate the quality of care as fair or poor (19.1% vs. 4.8%, p < 0.001), reported more unmet needs for pain management (30.5% vs. 19.4%, p = 0.037), and reported more concerns with communication (29.8% vs. 17.0%, p = 0.003).
Conclusions: One in eight respondents stated care in the last months of life was inconsistent with patients' wishes; such care was associated with worse ratings of care, pain management, and communication with clinicians.
Keywords: : communication, end-of-life care, goals of care, palliative care
Introduction
The Institute of Medicine's (IOM) report on approaching death has recommended that a patient-centered and family-oriented approach to end-of-life care that honors individual preferences be a national priority.1 In this report, the IOM called for a transformation in how we care for the dying in this country, emphasizing the need for improved communication about end-of-life preferences between clinicians and patients.
Concerns remain about how well we are matching medical care to individual values and preferences, yet we know very little about the care received at the end of life in this country or how best to measure receipt of unwanted care. Using data from the National Health and Aging Trends Study (NHATS), we documented the proportion of bereaved respondents who reported care that was inconsistent with patient's wishes, and characterized the sociodemographics, site of death, and quality of end-of-life care in the last months of life associated with inconsistent care.
Methods
Design overview
Data were from the NHATS,2 a prospective nationally representative survey of Medicare beneficiaries aged 65 and older. This study began in 2011 and focuses on functioning in late life, including end-of-life experiences. Data are initially collected from participants and, after death, from informants knowledgeable about participants' experiences in the month before death. Information on the NHATS sample and response rate has been previously reported.3 Response rates from the rounds of administration used in this study were 94.4% for Round 2 (2012), 94.1% for Round 3 (2013), 94.8% for Round 4 (2014), and 95.8% for Round 5 (2015).4
We used data from the NHATS last month of life interview that includes validated measures of perceptions of quality of care in terms of symptom management, emotional support, communication and decision making, and overall ratings of care. The questions were developed based on a National Quality Forum-endorsed quality measure that assesses whether end-of-life care is patient and family centered.5
Measures
Participant data
Age, gender, race, and ethnicity were collected at participant baseline interviews. For survey participants unable to report, a proxy respondent provided this information.
Family member data
We restricted our sample to responses from informants who were family members or close friends, excluding those completed by nonfamilial guardians and facility staff caregivers whose perceptions may be less accurate. If persons living in facilities such as nursing homes had a family informant, they were included.
Consistent versus inconsistent care
To determine whether care was consistent with patients' wishes in the last month of life, informants were asked whether any decisions were made about treatments that the patient would not have wanted. Specifically, informants were asked, “During the last month of {SP}’s life, was there any decision made about care or treatment that {he/she} would not have wanted?”
Symptoms
For perceptions of symptom management, respondents were asked whether the decedent had pain, dyspnea, anxiety, or feelings of sadness. If present, they were asked how much help the decedent received with the symptom (“less than was needed,” “more than was needed,” or “about the right amount”). A dichotomized variable for unmet needs for each symptom was created and defined as either having unmet needs or not.
Communication and decision making
Informants were asked whether decisions were made without enough input from the patient or family (yes/no). Quality of communication and care questions included how often the patient was treated with respect and how often the family was informed about the care plan. Response options for both questions were “always,” “usually,” “sometimes,” or “never.” Responses were dichotomized into “always” versus “other.”
Overall quality of end-of-life care
Respondents were asked to rate the overall quality of care in the last month using the following 5-point scale: “excellent,” “very good,” “good,” “fair,” and “poor.”
Statistical analysis
All analyses were conducted using appropriate survey weights.6 Bivariate analyses were conducted using Pearson's chi-square test to compare decedent characteristics and perceptions of informant respondents who reported care was consistent versus inconsistent with their loved one's wishes. In sensitivity analyses, we ran multivariate logistic regression models adjusting for round of NHATS data collection (2, 3, 4, or 5), age ≥85 years, functional trajectory, black race, Hispanic ethnicity, whether the patient had cancer, and family member's relationship to the decedent (spouse or child). A two-sided alpha level of ≤0.05 was considered statistically significant. Data were analyzed using STATA, version 14.0 (StataCorp., College Station, TX) statistical software.
Results
Decedent characteristics
Five hundred and three respondents completed the last month of life interview in Round 2 (2012), 523 in Round 3 (2013), 404 in Round 4 (2014), and 296 in Round 5 (2015). Among these interviews, 1212 (70.2%) were completed by either a family member or a close friend of the decedent, representing a weighted sample of 4.8 million decedents. About 44% of decedents were male and 21% were more than the age of 85 years. Most decedents were white (80%), and 53% of proxy informants were a child of the decedent. For site of death, 37% died at home and 23% died in a hospital (Table 1).
Table 1.
All | Care consistent with decedent goals | Care inconsistent with decedent goals | pa | |
---|---|---|---|---|
N | 1, 212 | 1068 (87.4%) | 144 (12.6%) | |
Weighted N | 4, 796, 354 | 4, 191, 054 | 605, 300 | |
Male | 44.3% | 43.0% | 53.3% | 0.069 |
Age 85 and older | 21.0% | 21.2% | 19.2% | 0.555 |
Race and ethnicity | 0.308 | |||
White (%) | 79.9 | 79.4 | 82.9 | |
Black/African American (%) | 9.7 | 10.0 | 7.9 | |
Hispanic (%) | 2.3 | 2.6 | 0.3 | |
Other (%) | 6.8 | 6.5 | 9.0 | |
Unknown (%) | 1.4 | 0 | 1.6 | |
Cancer diagnosis | 12.8% | 12.9% | 12.1% | 0.833 |
Late transitionb | 17.1% | 16.5% | 21.5% | 0.168 |
Site of deathc | 0.052 | |||
Home (%) | 36.9 | 38.1 | 27.9 | |
Hospitald (%) | 22.7 | 21.6 | 30.3 | |
Nursing home (%) | 18.5 | 17.8 | 22.9 | |
Othere (%) | 22.0 | 22.4 | 18.9 | |
Proxy informant | ||||
Spouse | 27.8% | 26.3% | 38.2% | 0.130 |
Child (%) | 53.1 | 54.0 | 47.0 | |
Other family member (%) | 9.4 | 9.5 | 8.6 | |
Other relation (%) | 9.7 | 10.2 | 6.1 |
Pearson's chi-square test.
Defined as a transition to another location within the last three days of life.
N for site of death = 1196.
Including intensive care unit.
“Other” includes palliative care unit, hospice inpatient unit, hospice residence and other.
Family member perceptions
Among family members, 87.4% reported care consistent with decedents' wishes. Decedent demographic characteristics, informant's relationship to the decedent, and transitions in care settings in the last three days did not vary significantly between groups receiving consistent versus inconsistent care (Table 1). Death at home was more prevalent among decedents receiving goal-concordant care (38.1% vs. 27.9%), whereas death in the hospital was more prevalent among decedents receiving inconsistent care (30.3% vs. 21.6%). Similarly, death in a nursing home was more prevalent among decedents receiving inconsistent care (22.9% vs. 17.8%; p = 0.052).
When care was inconsistent with the decedent's wishes, informants were more likely to have concerns about the quality of care in the last month of life (Table 2). Decedents receiving inconsistent care were more likely than those receiving goal-concordant care to have unmet needs including (1) among all decedents, informants reported more unmet needs for pain management (27.3% vs. 15.2%; p = 0.005) and (2) among decedents experiencing pain in the last month of life, informants reported more unmet needs for pain management (30.5% vs. 19.4%; p = 0.037). Informants of patients receiving inconsistent care were also more likely to have reported that they were not always kept appraised of the care plan (29.8% vs. 17.0%; p = 0.003), that decisions were made without enough input from the decedent or family (26.0% vs. 6.8%; p < 0.001), and that the patient was not always treated with respect (23.0% vs. 12.1%; p = 0.003).
Table 2.
Care consistent with decedent goals | Care inconsistent with decedent goals | pa | Adjusted odds ratiob | 95% CI | Adjusted p-value | |
---|---|---|---|---|---|---|
N | 1068 (87.4%) | 144 (12.6%) | ||||
Weighted N | 4, 191, 054 | 605, 300 | ||||
Concerns with quality of care in the last month of life | ||||||
Reported pain | 70.9% | 86.3% | <0.001 | 0.33 | 0.19–0.59 | <0.001 |
Unmet need for pain management among those reporting pain | 19.4% | 30.5% | 0.037 | 0.56 | 0.32–1.01 | 0.054 |
Unmet need for pain management among all decedents | 15.2% | 27.3% | 0.005 | 0.46 | 0.27–0.77 | 0.004 |
Reported dyspnea | 57.6% | 65.8% | 0.075 | 0.70 | 0.47–1.04 | 0.075 |
Unmet need for dyspnea management among those reporting dyspnea | 17.6% | 25.7% | 0.200 | 0.64 | 0.30–1.35 | 0.234 |
Unmet need for dyspnea management among all decedents | 11.1% | 19.0% | 0.039 | 0.54 | 0.30–0.99 | 0.046 |
Reported sadness/anxiety symptoms | 59.4% | 76.9% | <0.001 | 0.41 | 0.27–0.62 | <0.001 |
Unmet need for addressing sadness/anxiety among those reporting symptoms | 43.3% | 56.5% | 0.070 | 0.59 | 0.32–1.09 | 0.09 |
Unmet need for addressing sadness/anxiety among all decedents | 27.4% | 45.2% | <0.001 | 0.45 | 0.28–0.72 | 0.001 |
Family not always kept informed of care plan | 17.0% | 29.8% | 0.003 | 0.48 | 0.30–0.77 | 0.003 |
Patient not always treated with respect | 12.1% | 23.0% | 0.003 | 0.44 | 0.26–0.74 | 0.003 |
Decision made without enough input from the decedent or family | 6.8% | 26.0% | <0.001 | 0.20 | 0.12–0.35 | <0.001 |
Ratings of care | <0.001 | |||||
Excellent | 49.1% | 40.0% | 1.48c | 0.92–2.37 | 0.105 | |
Very good | 32.6% | 22.0% | ||||
Good | 12.1% | 17.8% | ||||
Fair | 2.5% | 12.6% | ||||
Poor | 2.3% | 6.5% | ||||
Otherd | 1.4% | 1.1% |
Pearson's chi-square test.
Multivariate logistic regression models adjusted for round of NHATS data collection (2, 3, 4, or 5), age ≥85, functional trajectory, black race, Hispanic ethnicity, whether the patient had cancer and family member's relationship to the decedent (spouse or child).
For multivariate logistic regression model, ratings of care dichotomized to excellent (0 or 1).
Other = does not apply, no care in last month of life, refused, do not know.
CI, confidence interval; NHATS, National Health and Aging Trends Study.
Overall ratings of care were lower among bereaved respondents who reported care was inconsistent versus consistent with decedent preferences, with the main differences seen in ratings of overall care as fair (12.6% vs. 2.5%) or poor (6.5% vs. 2.3%, p < 0.001) (Table 2).
Results from adjusted analyses were similar and are displayed in Table 2.
Discussion
One in eight bereaved family members report that care in the last month of life was not consistent with the decedent's wishes. Despite national efforts to improve advance care planning, our data suggest that too often decisions do not respect the patient's wishes and are made without enough input from the dying patients or their family. These results support the IOM's call to improve communication between clinicians, patients, and families to better match care to patients' values and preferences and provide insight into measurement of goal-concordant care.1
The finding that decedents whose care was inconsistent with their preferences (according to informants) were more likely to die in the hospital setting (including intensive care unit [ICU]) supports this approach to measuring goal-concordant care. Trends in utilization for Medicare beneficiaries between 2000 and 2009 have demonstrated increasing ICU use in the last 30 days of life and hospital readmissions in the last 90 days of life,7 despite evidence suggesting that quality of life, physical discomfort, and psychological well-being are rated lower for patients who die in the hospital or ICU compared with patients who die at home.8 Informants' reports of failures to meet patients' symptom needs for those receiving inconsistent care provide additional support for the presence of a demonstrable gap between the care patients want and the care they receive. This is a problem that has been documented before9 and remains unaddressed all these years later if/when care is inconsistent.
Our study has some limitations. First, NHATS is limited to individuals 65 years and older and thus findings may not be generalizable to younger populations, and we also limited our analysis to informants who were family and close friends, so nursing facility residents are not well represented. Second, subjective measures reported by family informants may not accurately reflect decedents' perceptions of care. This, however, is a limitation with all proxy informant surveys for decedents and even if the proxy misperceived the events, that is their perception and such a perception can cause them distress. Third, the last month of life interview reflects care in the last month of life and not necessarily at the last site before death, although often they are the same.7 Lastly, data from NHATS are cross-sectional, thus limiting our ability to imply causality.
Although the primary goal of palliative and end-of-life care interventions is to close the gap between care desired and care received, evidence suggests that these interventions can also simultaneously reduce intensity of care10 and unwanted ICU utilization.11 Measurement of goal-concordant care may provide valuable insights into ways to improve the quality and value of care. As hospitals and payers operate under increasing pressure to improve quality while reducing costs, these findings have important implications for the medical care system. In the United States, critical care costs alone are estimated to exceed $82 billion annually, accounting for 13% of inpatient hospital costs12,13 and greater than one quarter of Medicare expenditures for the elderly are spent on end-of-life care. How much of these costs are attributable to care that was not wanted is unknown and is worthy of future investigation.
Acknowledgments
This project was supported by the National Institute of General Medical Sciences (5T32GM086270) and the Agency for Healthcare Research and Quality (K12HS022982). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality.
Author Disclosure Statement
No competing financial interests exist.
References
- 1.Institute of Medicine: Dying in America: Improving Quality and Honoring Individual Preferences Near the End of Life. Washington, DC: The National Academies Press, 2014 [PubMed] [Google Scholar]
- 2.National Health and Aging Trends Study: http://nhats.org (Last accessed January31, 2017)
- 3.Montaquila JFV, Edwards B, Kasper JD: National health and aging trends study round 1 sample design and selection, NHATS Technical Paper No. 1. Baltimore, MD: Johns Hopkins University School of Public Health, 2012 [Google Scholar]
- 4.Kasper JD, Freedman , Vicki A: National Health and Aging Trends Study User Guide: Rounds 1, 2, 3, 4 & 5 Final Release. Baltimore, MD: Johns Hopkins University School of Public Health, 2016. www.NHATS.org (last accessed February1, 2017) [Google Scholar]
- 5.Teno JM, Clarridge B, Casey V, et al. : Validation of toolkit after-death bereaved family member interview. J Pain Symptom Manage 2001;22:752–758 [DOI] [PubMed] [Google Scholar]
- 6.Montaquila J, Freedman VA, Spillman B, et al. : National health and aging trends study development of round 2 survey weights, NHATS Technical Paper 6. Baltimore, MD: Johns Hopkins University School of Public Health, 2014. www.NHATS.org (last accessed June25, 2017) [Google Scholar]
- 7.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;309:470–477 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wright AA, Keating NL, Balboni TA, et al. : Place of death: Correlations with quality of life of patients with cancer and predictors of bereaved caregivers' mental health. J Clin Oncol 2010;28:4457–4464 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.A controlled trial to improve care for seriously ill hospitalized patients. The study to understand prognoses and preferences for outcomes and risks of treatments (SUPPORT). The SUPPORT Principal Investigators. JAMA 1995;274:1591–1598 [PubMed] [Google Scholar]
- 10.Curtis JR, Treece PD, Nielsen EL, et al. : Randomized trial of communication facilitators to reduce family distress and intensity of end-of-life care. Am J Respir Crit Care Med 2016;193:154–162 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Khandelwal N, Kross EK, Engelberg RA, et al. : Estimating the effect of palliative care interventions and advance care planning on ICU utilization: A systematic review. Crit Care Med 2015;43:1102–1111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Halpern NA, Pastores SM: Critical care medicine in the United States 2000–2005: An analysis of bed numbers, occupancy rates, payer mix, and costs. Crit Care Med 2010;38:65–71 [DOI] [PubMed] [Google Scholar]
- 13.Pastores SM, Dakwar J, Halpern NA: Costs of critical care medicine. Crit Care Clin 2012;28:1–10, v. [DOI] [PubMed] [Google Scholar]