Stability over time in the preferences of older persons for life-sustaining treatment

Impact of the COVID-19 Public Health Crisis and a Structured COVID Unit on Physician Behaviors in Code Status Ordering

Purpose: Code status orders are standard practice impacting end-of-life care for individuals. This study reviews the impact of a COVID unit on physician behaviors towards goal-concordant end-of-life care at an urban academic tertiary-care hospital. Methods: We conducted a retrospective cohort study of code status ordering on adult inpatients comparing the pre-pandemic period to patients who tested positive, negative and were not tested during the pandemic from January 1, 2019, to December 31, 2020. Results: We analyzed 59,471 unique patient encounters (n = 35,317 pre-pandemic and n = 24,154 during). 1,631 cases of COVID-19 were seen. The rate of code status orders among all inpatients increased from 22% pre-pandemic to 29% during the pandemic (P < .001). Code status orders increased for both patients who were COVID-negative (32% P < .001) and COVID-positive (65% P < .001). Being in a cohorted COVID unit increased code status ordering by an odds of 4.79 (P < .001). Compared to the pre-pandemic cohort, the COVID-positive cohort is less female (50% to 56% P < .001), more Black (66% to 61% P < .001), more Hispanic (6.5% to 5%) and less white (26% to 30% P < .001). Compared to Black patients, white patients had lower odds (.86) of code status ordering (P < .001). Other race/ethnicity categories were not significant. Conclusions: Code status ordering remains low. Compared to pre-pandemic rates, the frequency of orders placed significantly increased for all patients during the pandemic. The largest increase occurred in patients with COVID-19. This increase likely occurred due to protocols in the COVID unit and disease uncertainty.

Goals of Care Among Patients With Advanced Cancer and Their Family Caregivers in the Last Years of Life

Importance

Understanding goals of care for terminally ill patients at the end of life is crucial to ensure that patients receive care consistent with their preferences.

Objectives

To investigate the patterns of goals of care among patient-caregiver dyads over the last years of the patient's life and the associations of the goals of care with patient-caregiver characteristics.

Design, Setting, and Participants

This prospective cohort study of 210 patient-caregiver dyads involved surveys every 3 months from July 8, 2016, until the patient's death or February 28, 2022. Data from the last 2 years of the patients' lives were analyzed. Dyads, which comprised patients with stage IV solid cancer and their caregivers, were recruited from outpatient clinics at 2 major cancer centers in Singapore.

Main Outcomes and Measures

Goals of care were examined via the tradeoffs between life extension and symptom management and between life extension and cost containment. The actor-partner interdependence framework was implemented using mixed-effects linear regressions.

Results

This study included 210 dyads (patients: mean [SD] age, 62.6 [10.5] years; 108 men [51.4%]; caregivers: mean [SD] age, 49.4 [14.6] years; 132 women [62.9%]). On average, 34% of patients (264 of 780 observations; range, 23%-42%) and 29% of caregivers (225 of 780 observations; range, 20%-43%) prioritized symptom management over life extension, whereas 24% of patients (190 of 780 observations; range, 18%-32%) and 19% of caregivers (148 of 780 observations; range, 8%-26%) prioritized life extension. Between cost containment and life extension, on average, 28% of patients (220 of 777 observations; range, 22%-38%) and 17% of caregivers (137 of 780 observations; range, 10%-25%) prioritized cost containment, whereas 26% of patients (199 of 777 observations; range, 18%-34%) and 35% of caregivers (271 of 780 observations; range, 25%-45%) prioritized life extension. Goals of care did not change as patients approached death. Patients prioritized symptom management if they experienced higher symptom burden (average marginal effect [SE], 0.04 [0.01]), worse spiritual well-being (average marginal effect [SE], -0.04 [0.01]), and accurate (vs inaccurate) prognostic awareness (average marginal effect [SE], 0.40 [0.18]) and if their caregivers reported accurate prognostic awareness (average marginal effect [SE], 0.53 [0.18]), lower impact of caregiving on finances (average marginal effect [SE], -0.28 [0.08]), and poorer caregiving self-esteem (average marginal effect [SE], -0.48 [0.16]). Compared with patients, caregivers expressed lower preferences for cost containment (average marginal effect [SE], -0.63 [0.09]). Patients prioritized cost containment if they were older (average marginal effect [SE], 0.03 [0.01]), had higher symptom burden (average marginal effect [SE], 0.04 [0.01]), had poorer spiritual well-being (average marginal effect [SE], -0.04 [0.01]), and their caregivers reported poorer caregiving self-esteem (average marginal effect [SE], -0.51 [0.16]) and more family support (average marginal effect [SE], -0.30 [0.14]).

Conclusions and Relevance

In this cohort study of patient-caregiver dyads, findings suggested the importance of interventions aimed at reducing discordance in goals of care between patients and caregivers and helping them develop realistic expectations to avoid costly, futile treatments.

Dimensions of end-of-life preferences in the Swiss general population aged 55+

BACKGROUND

understanding end-of-life preferences in the general population and how they are structured in people's minds is essential to inform how to better shape healthcare services in accordance with population expectations for their end of life and optimise communication on end-of-life care issues.

OBJECTIVE

explore key dimensions underlying end-of-life preferences in a nationally representative sample of adults aged 55 and over in Switzerland.

METHODS

respondents (n = 2,514) to the Swiss version of the Survey of Health, Ageing and Retirement in Europe assessed the importance of 23 end-of-life items on a 4-point Likert scale. The factorial structure of the underlying end-of-life preferences was examined using exploratory structural equation modelling.

RESULTS

four dimensions underlying end-of-life preferences were identified: a medical dimension including aspects related to pain management and the maintenance of physical and cognitive abilities; a psychosocial dimension encompassing aspects related to social and spiritual support; a control dimension addressing the need to achieve some control and to put things in order before death; and a burden dimension reflecting wishes not to be a burden to others and to feel useful to others.

CONCLUSION

highlighting the multi-dimensionality of end-of-life preferences, our results reaffirm the importance of a holistic and comprehensive approach to the end of life. Our results also provide a general framework that may guide the development of information and awareness campaigns on end-of-life care issues in the general population, informational materials and guidelines to support healthy individuals in end-of-life thinking and planning, and advance directive templates appropriate for healthy individuals.

Same, same, but different? A longitudinal, mixed-methods study of stability in values and preferences for future end-of-life care among community-dwelling, older adults

Background

End-of-life preferences may change over time, e.g. due to illness progression or life events. Research on stability of end-of-life preferences has largely focused on life-sustaining treatments in seriously ill patients or medical decision-making based on hypothetical illness scenarios and possible treatment options. Few studies focus on community-dwellers in natural settings. The aim of this study was thus to explore if and how community-dwelling, older adults’ prioritizations and reasoning about values and preferences for future end-of-life care change over time.

Methods

Using a mixed-methods design, we explored stability of end-of-life preferences in older community-dwelling adults without imminent end-of-life care needs. At two timepoints (T1 and T2), 5.5–12 months apart, 52 individuals discussed what would be important to them at the end-of-life, through open conversations and while using DöBra cards, a Swedish version of GoWish cards. Participants ranked their most important card statements from 1 to 10. Stability in card rankings, i.e. a card recurring in the top-10 ranking at T2 regardless of position, was explored using descriptive statistics and non-parametric analyses. Participants’ reasoning about card choices were explored with longitudinal qualitative analysis.

Results

Stability between T1 and T2 in the top-10 priorities ranged from 20 to 80%, median 60%. Stability in cards rankings could not be explained by changes in participants’ health status, extent of card use (no/little/frequent use) between interviews, or days between T1 and T2, nor was it related to demographic variables. Qualitative analysis showed that consistent reasoning was not always paired with consistency in card choices and changed card choices were not always related to changes in reasoning.

Conclusions

Longitudinal exploration combining DöBra card rankings with underlying reasoning about end-of-life preferences over time furthers knowledge on the dynamics between values and preferences in end-of-life decision-making. Individuals’ end-of-life preferences in form of card choices were relatively stable over time albeit with large variation between different individuals. However, the values and underlying reasoning that participants used to motivate their choices appeared more stable than ranking of card choices. We thus conclude that concurrent conversation-based exploration is a more comprehensive indicator of end-of-life values and preferences over time than ranking of cards alone.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-021-00839-7.

Stability of Do-Not-Resuscitate Orders in Hospitalized Adults: A Population-Based Cohort Study

OBJECTIVES

Prior work has shown substantial between-hospital variation in do-not-resuscitate orders, but stability of do-not-resuscitate preferences between hospitalizations and the institutional influence on do-not-resuscitate reversals are unclear. We determined the extent of do-not-resuscitate reversals between hospitalizations and the association of the readmission hospital with do-not-resuscitate reversal.

DESIGN

Retrospective cohort study.

SETTING

California Patient Discharge Database, 2016-2018.

PATIENTS

Nonsurgical patients admitted to an acute care hospital with an early do-not-resuscitate order (within 24 hr of admission).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We identified nonsurgical adult patients who survived an initial hospitalization with an early-do-not-resuscitate order and were readmitted within 30 days. The primary outcome was the association of do-not-resuscitate reversal with readmission to the same or different hospital from the initial hospital. Secondary outcomes included association of readmission to a low versus high do-not-resuscitate-rate hospital with do-not-resuscitate reversal. Among 49,336 patients readmitted within 30 days following a first do-not-resuscitate hospitalization, 22,251 (45.1%) experienced do-not-resuscitate reversal upon readmission. Patients readmitted to a different hospital versus the same hospital were at higher risk of do-not-resuscitate reversal (59.5% vs 38.5%; p < 0.001; adjusted odds ratio = 2.4; 95% CI, 2.3-2.5). Patients readmitted to low versus high do-not-resuscitate-rate hospitals were more likely to have do-not-resuscitate reversals (do-not-resuscitate-rate quartile 1 77.0% vs quartile 4 27.2%; p < 0.001; adjusted odds ratio = 11.9; 95% CI, 10.7-13.2). When readmitted to a different versus the same hospital, patients with do-not-resuscitate reversal had higher rates of mechanical ventilation (adjusted odds ratio = 1.9; 95% CI, 1.6-2.1) and hospital death (adjusted odds ratio = 1.2; 95% CI, 1.1-1.3).

CONCLUSIONS

Do-not-resuscitate reversals at the time of readmission are more common than previously reported. Although changes in patient preferences may partially explain between-hospital differences, we observed a strong hospital effect contributing to high do-not-resuscitate-reversal rates with significant implications for patient outcomes and resource.

Preferences on forgoing end-of-life treatment are stable over time with people owning an advance directive; A cohort study

OBJECTIVE

We studied if preferences about end-of-life care of people having an advance directive (AD) stay stable over time and if (in) stability is associated with health status.

METHODS

A longitudinal cohort study with a population owning different types of ADs (n = 4638). Respondents repeatedly answered questionnaires between 2005-2010. Using hypothetical scenarios about advanced cancer and dementia we assessed preferences for continuing or forgoing resuscitation, mechanical ventilation, artificial nutrition and antibiotics. Using generalized estimated equations we analysed whether life-events and quality of life influenced changes in preferences.

RESULTS

The proportion of respondents with stable preferences ranged from 67 to 98 %. Preferences were most stable concerning resuscitation and least stable concerning mechanical ventilation. In only a few instances we found life-events or a change in quality of life could both increase or decrease odds to change preferences.

CONCLUSION

Preferences concerning continuing or forgoing treatment at the end of life are stable for a majority of people with ADs, which supports their validity.

PRACTICE IMPLICATIONS

The value of on-going communication about preferences between patients and caregivers is confirmed by our findings concerning differences in stability between treatments and the association between stability of preferences and life-events or quality of life.

End-of-life care preferences of the general public and recommendations of healthcare providers: a nationwide survey in Japan

BACKGROUND

A better understanding of differences between the preferences of the general public and the recommendations of healthcare providers with regard to end-of-life (EOL) care may facilitate EOL discussion.

METHODS

The aim of this study was to clarify differences between preferences of the general public and recommendations of healthcare providers with regard to treatment, EOL care, and life-sustaining treatment (LST) based on a hypothetical scenario involving a patient with advanced cancer. This study comprised exploratory post-hoc analyses of "The Survey of Public Attitude Towards Medical Care at the End of life", which was a population based, cross-sectional anonymous survey in Japan to investigate public attitudes toward medical care at the end of life. Persons living in Japan over 20 years old were randomly selected nationwide. Physicians, nurses, and care staff were recruited at randomly selected facilities throughout Japan. The general public data from the original study was combined to the data of healthcare providers in order to conduct exploratory post-hoc analyses. The preferences of the general public and recommendations of healthcare providers with regard to EOL care and LST was assessed based on the hypothetical scenario of an advanced cancer patient.

RESULTS

All returned questionnaires were analyzed: 973 from the general public, 1039 from physicians, 1854 from nurses, and 752 from care staff (response rates of 16.2, 23.1, 30.9, and 37.6%, respectively). The proportion of the general public who wanted "chemotherapy or radiation", "ventilation", and "cardiopulmonary resuscitation" was significantly higher than the frequency of these options being recommended by physicians, nurses, and care staff, but the general public preference for "cardiopulmonary resuscitation" was significantly lower than the frequency of its recommendation by care staff.

CONCLUSION

Regarding a hypothetical scenario for advanced cancer, the general public preferred more aggressive treatment and more frequent LST than that recommended by healthcare providers.

Stability of end-of-life preferences in relation to health status and life-events: A cohort study with a 6-year follow-up among holders of an advance directive

Background

Stating preferences about care beforehand using advance care planning and advance directives has become increasingly common in current medicine. There is still lack of clarity what happens over the course of time in relation to these preferences. We wanted to determine whether the preferences about end-of-life care of a person owning an advance directive stay stable after the experience of a life-event; how often advance directives are altered and discussed with family members and physicians over time.

Design

A longitudinal cohort study with a population consisting of people owning the most common advance directives in the Netherlands, with a follow-up of 6-years from 2005 until 2011. Respondents were recruited using two associations that provided the advance directives, Right to Die-NL (n = 4463) and the Dutch Patient Organisation (n = 1263). Each 1.5 year a questionnaire was sent. We analyzed the relationship between variables using generalized estimated equations.

Results

96.9–98.1% of the respondents who had experienced a life-event had stable preferences. 89.9–93.7% of Right-to-Die-NL-members who had experienced a life-event didn’t make any alterations in their advance directives. During the 6-year course of our study, a minority of both groups didn’t discuss their advance directive with anyone (8.7–16.4%), while a majority didn’t discuss it with physicians (ranging 58.1–95.1%). Factors related to health, such as deterioration in experienced health, increased the odds to discuss advance directives.

Conclusion

Our results largely dispute criticism concerning usability of advance directives due to lack of stability of preferences. Whereas a change in health status and the experience of other life-events were not related to instability in preferences, they did increase the odds of communication about advance directives.

Because our results show that the possession of an advance directive does not necessarily result in frequent discussions between patients and caregivers, a more structured approach like advance care planning might be a solution.

Memory of Medical Scenarios for End-of-Life Support Preferences

We studied memory of health scenarios for end-of-life support decisions and stability of life support preferences. Psychology students (n = 36, age M = 27.25, SD = 6.21, 64% females) were administered the Life Support Preferences Questionnaire to assess their memory of six medical scenarios with different prognoses, care treatment, and end-of-life support choices. Recall, recognition, confidence and decision stability were assessed immediately and one month later. Correct recall decreased and incorrect recall increased from immediate to long-term recall, F(2, 68) = 74.38, p < .001, η2p = .69. In recall, participants spontaneously gave false information consistent with prior knowledge of illnesses and medical scenarios. Participants who had suffered a disease or serious accident did worse on correct recall, F(1, 34) = 6.59, p = .015, η2p = .16, and had more errors, F(1, 34) = 4.68, p = .038, η2p = .12, than participants who had not. In the recognition test there were no differences between hits and false alarms, showing the difficulty in discriminating between true and false contents. Confidence was greater for hits than for false alarms, F(1, 34) = 10.86, p = .002, η2p = .24, but this subjective measure did not seem to be a good predictor of accuracy because confidence was greater than the mean value for hits (p = .001, d = 1.74) and for false alarms (p = .001, d = 0.96). Long-term memory was quite poor and biased, but life support preferences did not change much.

Stability of Organ Donor Designations on Driver's Licenses

BACKGROUND

Little is known about the stability of decisions that people make to be organ donors. We sought to determine the rate of stability of organ donor designations on driver's licenses.

METHODS

With the use of a cross-sectional study design, we reviewed the health records of 2500 randomly selected primary-care patients at a large urban safety-net medical system to obtain their demographic and medical characteristics. We also examined the two most recent unique driver's licenses, state identification cards, or learner's permits that were scanned into electronic health records as part of the patient registration process. We obtained organ donor designations from these documents for each patient.

RESULTS

Of all patients, 1174 (47%) had two driver's licenses, identification cards, or permits in their electronic medical records. The two documents were issued an average of 3.5 years apart. Overall, 114 (10%) patients had differing organ donor designations on their two documents. Among the 502 patients who were designated as organ donors on the first document, 32 (6%) were not designated as organ donors on the second document. Among the 672 patients who were not designated as organ donors on the first document, 82 (12%) were designated as organ donors on the second document. There was little relationship between stability of organ donor designations and patient demographic and medical characteristics.

CONCLUSIONS

About 1 of every 10 patients changed their organ donor designation, but stability was not associated with any demographic or medical factors. Further work is needed to understand why individuals change their organ donor designation.

Decision Making Among Older Adults at the End of Life: A Theoretical Perspective

Understanding changes in decision making among older adults across time is important for health care providers. We examined how older adults with a limited prognosis used their perception of prognosis and health in their decision-making processes and related these findings to prospect theory. The theme of decision making in the context of ambiguity emerged, reflecting how participants used both prognosis and health to value choices, a behavior not fully captured by prospect theory. We propose an extension of the theory that can be used to better visualize decision making at this unique time of life among older adults.

Roma Women's Perspectives on End-of-Life Decisions

Spain's Roma community has its own cultural and moral values. These values influence the way in which end-of-life decision-making is confronted. The objective of this study was to explore the perspective of Roma women on end-of-life decision-making. It was a qualitative study involving thirty-three Roma women belonging to groups for training and social development in two municipalities. We brought together five focus groups between February and December 2012. Six mediators each recruited five to six participants. We considered age and care role to be the variables that can have the most influence on opinion regarding end-of-life decision-making. We considered the discussion saturated when the ideas expressed were repeated. Data analysis was carried out according to five steps: describing, organizing, connecting, corroborating/legitimating, and representing the account. The main ideas gleaned from the data were as follows: (1) the important role of the family in end-of-life care, especially the role of women; (2) the large influence of community opinion over personal or family decisions, typical of closed societies; (3) the different preferences women had for themselves compared to that for others regarding desired end-of-life care; (4) unawareness or rejection of advance directives. Roma women wish for their healthcare preferences to be taken into account, but "not in writing." The study concluded that the success of end-of-life healthcare in Roma families and of their involvement in the making of healthcare decisions depends upon considering and respecting their idiosyncrasy.

Quality of life changes and intensive care preferences in terminal cancer patients

Objective:

There is scarce research on the short-term fluctuations in end-of-life (EoL) care planning for seriously ill patients. The aim of our study was to investigate the stability of preferences regarding treatment in an intensive care unit (ICU) and identify the factors associated with changes in preferences in terms of quality of life (QoL).

Method:

A prospective examination on preference changes for ICU care in 141 terminal cancer patients was conducted. Patients were categorized according to their change in preference during the final two months of their lives into four categories: (1) the keep–accept group, (2) the keep–reject group, (3) the change to accept group, and (4) the change to reject group. Using multiple logistic analyses, we explored the association between patient demographics, health-related QoL, and changes in ICU preference.

Results:

The overall stability of ICU preferences near the end of life was 66.7% (κ = 0.33, p < 0.001). Married patients were more likely to change their preference regarding ICU care [adjusted odds ratio (aOR) toward accept 12.35, p = 0.021; aOR toward reject 10.56, p = 0.020] than unmarried patients. Patients with stable physical function tended to accept ICU care (aOR = 5.05, p = 0.023), whereas those with poor performance (aOR = 5.32, p = 0.018), worsened QoL (aOR = 8.34, p = 0.007), or non-aggravated fatigue (aOR = 8.36, p = 0.006) were more likely to not accept ICU care.

Significance of results:

The attitudes of terminally ill cancer patients regarding ICU care at the end of life were not stable over time, and changes in their QoL were associated with a tendency to change their preferences about ICU care. Attention should thus be paid to patients' QoL changes to improve medical decision making with regard to EoL care.

Stability of end-of-life preferences: a systematic review of the evidence

IMPORTANCE

Policies and practices that promote advance care planning and advance directive completion implicitly assume that patients' choices for end-of-life (EOL) care are stable over time, even with changes in health status.

OBJECTIVE

To systematically evaluate the evidence on the stability of EOL preferences over time and with changes in health status.

EVIDENCE REVIEW

We searched for longitudinal studies of patients' preferences for EOL care in PubMed, EMBASE, and using citation review. Studies restricted to preferences regarding the place of care at the EOL were excluded.

FINDINGS

A total of 296 articles were assessed for eligibility, and 59 met inclusion criteria. Twenty-four articles had sufficient data to extract or calculate the percentage of individuals with stable preferences or the percentage of total preferences that were stable over time. In 17 studies (71%) more than 70% of patients' preferences for EOL care were stable over time. Preference stability was generally greater among inpatients and seriously ill outpatients than among older adults without serious illnesses (P < .002). Patients with higher education and who had engaged in advance care planning had greater preference stability, and preferences to forgo therapies were generally more stable than preferences to receive therapies. Among 9 of the 24 studies (38%) assessing changes in health status, no consistent relationship with preference changes was identified.

CONCLUSIONS AND RELEVANCE

Considerable variability among studies in the methods of preference assessment, the time between assessments, and the definitions of stability preclude meta-analytic estimates of the stability of patients' preferences and the factors influencing these preferences. Although more seriously ill patients and those who engage in advance care planning most commonly have stable preferences for future treatments, further research in real-world settings is needed to confirm the utility of advance care plans for future decision making.