End-of-Life Care Preferences of Older Patients with Multimorbidity: A Mixed Methods Systematic Review

Identifying specific subgroups of older patients at risk of repeated hospital readmissions and death after discharge in a prospective multicentre cohort in France

OBJECTIVE

To identify specific subgroups of older patients at risk of repeated hospital readmissions and death.

DESIGN

Prospective, multicentre, DAMAGE (Patient Outcomes After Hospitalization in Acute Geriatric Unit) cohort of adults aged 75 and over, discharged from an acute geriatric unit (AGU) and followed up for 12 months.

SETTING

Six recruiting hospital centres in the Hauts-de-France and Normandie regions of France.

MAIN OUTCOME MEASURES

We performed a latent class analysis to identify subgroups at risk of repeated hospital readmissions and death, followed by a logistic regression analysis to determine the characteristics associated with the identified subgroups.

RESULTS

3081 patients were included (mean (SD) age: 86.4 (5.5)) and two subgroups were identified. In subgroup 1 (n=2169, 70.4%), only 619 (28.5%) patients were readmitted to hospital once during the follow-up, and 495 (22.5%) died. In subgroup 2 (n=912, 29.6%), all patients were readmitted to hospital at least twice, and 523 (57.8%) died. Subgroup 2 accounted for 29.6% of patients but 74.4% of hospital readmissions, with longer lengths of stay, and 51.6% of deaths. A multivariate logistic regression analysis identified only four characteristics weakly associated with the risk of being in subgroup 2 (at least one hospital admission in the 6 months preceding the index hospital admission, cancer, polymedication and weight changes (gain or loss) during the index hospital admission). The area under the receiver operating characteristic curve was 63%.

CONCLUSION

A latent class analysis showed that a population of older adults hospitalised in an AGU is divided into two subgroups with regard to the postdischarge outcomes: one subgroup (70% of the individuals) will have a low rate of hospital readmission and a moderate death rate, whereas the other will have a high rate of hospital readmission and a very high death rate. There is a need for predictive scores for both events, with a view to better targeting at-risk patients.

TRIAL REGISTRATION NUMBER

Trial registration number was approved by the local independent ethics committee (CPP Nord-Ouest IV, Lille, France) on 13 February 2015, with an amendment approved on 21 January 2016 (reference: IDRCB 2014 A01670 47, CNIL bxA15352514).

End-of-life preferences of people with advanced chronic obstructive pulmonary disease

OBJECTIVES

To identify end-of-life preferences of people with advanced chronic obstructive pulmonary disease (COPD) and to compare characteristics between those who wish to discuss the end-of-life and those who do not.

METHODS

An analysis of the baseline data of a randomised controlled trial was performed including people with COPD GOLD stages III-IV or former quadrant D with modified Medical Research Council questionnaire grade ≥2, after hospital discharge following an exacerbation. Participants were interviewed using the End-of-Life Preferences Interview.

RESULTS

A total of 165 individuals (53% men; 68±9 years old; 55% care dependent) were included. Most participants wished to take part in shared decision-making (78%), to be informed about a short life expectancy (82%), to discuss the end-of-life (82%), to have loved ones around at death (87%) and to choose when to die (70%). They also reported accepting opioids (74%). Preferences for who to provide physical care, the place, consciousness and atmosphere at death as well as life-sustaining treatments were heterogeneous. Participants who wanted to discuss the end-of-life had a significantly higher educational level (p=0.030) and worse health status than participants who did not (p=0.007).

CONCLUSIONS

End-of-life preferences of people with advanced COPD were heterogeneous, however, most wished to discuss it, especially those with higher educational level and worse health status.

TRIAL REGISTRATION NUMBER

NTR3940.

Personal legacy and treatment choices for serious illness: a scoping review

BACKGROUND

Legacy-how one hopes to be remembered after death-is an unexplored and important dimension of decision-making for people facing serious illness.

OBJECTIVES

We conducted a scoping review to answer the following research questions: (1) How do people making treatment choices conceive of legacy? and (2) What treatment choices do people make with legacy in mind?

ELIGIBILITY CRITERIA

Participants included people facing serious illness who discussed how they wanted to be remembered after their own death, or how they hoped to impact others, as they made treatment choices. Studies in English published between 1990 and 2022 were included.

SOURCES OF EVIDENCE

We conducted searches in electronic databases including Medline/PubMed, CINAHL, PsycInfo, SocialWork, AnthropologyPlus, Web of Science, ProQuest and EMBASE databases.

DATA SYNTHESIS

We used an electronic screening tool to screen abstracts and review full-text articles suitable for inclusion. We analysed included articles using Atlas.ti. We constructed tables and narratively synthesised the findings.

RESULTS

We identified three major intersecting legacy goals that influence choices people facing serious illness make about their treatment and health behaviours, and the types of choices people make with legacy in mind. The three legacy goals are: remembrance of the individual self, remembrance of the social self and impact on others' well-being.

CONCLUSIONS

We identify the importance of legacy to patient treatment choices. Understanding for whom this construct is important, what types of legacy goals people hold and how those goals impact treatment choices is necessary to provide patient-centred whole-person care to people facing serious illness.

Technology to Support Older Adults in Home Palliative Care: A Scoping Review

BACKGROUND

Today, many older adults use health technologies, approach their final days with laptops, smartphones, and tablets. Telepalliative care is a service that remotely delivers palliative care through videoconferencing, telephonic communication, or remote symptom monitoring. The service meets the needs of patients who want to die at home and reducing unnecessary hospitalizations. The objective of this study is to map the literature on the use of technology by the terminally ill older adult population being cared for at home, to identify which technology systems are in use, to determine how technology can change communication between palliative care professionals and patients, and to explore the strengths or weaknesses patients perceive regarding the use of technology.

METHODS

We conducted a scoping review following the methodology of Arksey and O'Malley. A literature search was conducted in the MEDLINE, Embase, Web of Science, SCOPUS, PsycINFO, CINAHL, Ilisi and Google Scholar databases.

RESULTS

Fourteen eligible papers identified various tools available in clinical practice and found that most older adults are comfortable and satisfied using them. Despite being physically distanced from clinicians, patients felt cared for even though eye contact was lacking. Being unfamiliar with technology emerged as a barrier to telepalliative care in addition to difficulties caused by screen size and internet connection problems.

CONCLUSIONS

Older adults in palliative care at home perceive technology as a means of receiving efficient care. However, future research is needed to investigate what they look for in a technological tool and to develop more suitable technologies for them.

CLINICAL TRIAL REGISTRATION

The protocol of this study has been published in the Open Science Framework (OSF) preregistrations at https://osf.io/acv7q to enhance replicability and transparency and reduce any publication or reporting bias.

Patient and Family Preferences About Place of End-of-Life Care and Death: An Umbrella Review

CONTEXT

The place where people are cared towards the end of their life and die is a complex phenomenon, requiring a deeper understanding. Honoring preferences is critical for the delivery of high-quality care.

OBJECTIVES

In this umbrella review we examine and synthesize the evidence regarding preferences about place of end-of-life care and death of patients with life-threatening illnesses and their families.

METHODS

Following the Joanna Briggs Institute methodology, we conducted a comprehensive search for systematic reviews in PsycINFO, MEDLINE, EMBASE, CINAHL, Epistemonikos, and PROSPERO without language restrictions.

RESULTS

The search identified 15 reviews (10 high-quality, three with meta-analysis), covering 229 nonoverlapping primary studies. Home is the most preferred place of end-of-life care for both patients (11%-89%) and family members (23%-84%). It is also the most preferred place of death (patient estimates from two meta-analyses: 51%-55%). Hospitals and hospice/palliative care facilities are preferred by substantial minorities. Reasons and factors affecting preferences include illness-related, individual, and environmental. Differences between preferred places of care and death are underexplored and the evidence remains inconclusive about changes over time. Congruence between preferred and actual place of death ranges 21%-100%, is higher in studies since 2004 and a meta-analysis shows noncancer patients are at higher risk of incongruence than cancer patients (OR 1.23, 95% CI: 1.01-1.49, I2 = 62%).

CONCLUSION

These findings are a crucial starting point to address gaps and enhance strategies to align care with patient and family preferences. To accurately identify patient and family preferences is an important opportunity to change their lives positively.

The epidemiology of dying within 48 hours of presentation to emergency departments: a retrospective cohort study of older people across Australia and New Zealand

BACKGROUND

Emergency department (ED) clinicians are more frequently providing care, including end-of-life care, to older people.

OBJECTIVES

To estimate the need for ED end-of-life care for people aged ≥65 years, describe characteristics of those dying within 48 hours of ED presentation and compare those dying in ED with those dying elsewhere.

METHODS

We conducted a retrospective cohort study analysing data from 177 hospitals in Australia and New Zealand. Data on older people presenting to ED from January to December 2018, and those who died within 48 hours of ED presentation, were analysed using simple descriptive statistics and univariate logistic regression.

RESULTS

From participating hospitals in Australia or New Zealand, 10,921 deaths in older people occurred. The 48-hour mortality rate was 6.43 per 1,000 ED presentations (95% confidence interval: 6.31-6.56). Just over a quarter (n = 3,067, 28.1%) died in ED. About one-quarter of the cohort (n = 2,887, 26.4%) was triaged into less urgent triage categories. Factors with an increased risk of dying in ED included age 65-74 years, ambulance arrival, most urgent triage categories, principal diagnosis of circulatory system disorder, and not identifying as an Aboriginal or Torres Strait Islander person. Of the 7,677 older people admitted, half (n = 3,836, 50.0%) had an encounter for palliative care prior to, or during, this presentation.

CONCLUSIONS

Our findings provide insight into the challenges of recognising the dying older patient and differentiating those appropriate for end-of-life care. We support recommendations for national advanced care planning registers and suggest a review of triage systems with an older person-focused lens.

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.

The association of medical, social, and normative factors with the implementation of end-of-life care practices

BACKGROUND

End-of-life (EoL) care practices (EoLCP) are procedures carried out at the EoL and bear directly on this stage in the patient's life. Public support of these practices in Israel is far from uniform. Previous studies show that while ∼30% of participants support artificial respiration or feeding of terminally ill patients, 66% support analgesic treatment, even at the risk of shortening life. This study aimed to create a typology of six end-of-life care practices in Israel and assess the association of medical, social, and normative factors with the implementation of those practices. These practices included mechanical ventilation, artificial feeding, deep sedation, providing information to the patient and family caregivers, including family caregivers in EoL decision-making, and opting for death at home.

METHODS

This cross-sectional study was performed as an online survey of 605 adults aged 50 or more in Israel, of which ~ 50% (n = 297) reported supporting a dying terminally ill relative in the last 3 years. Participants were requested to provide their account of the EoL process of their relative dying from a terminal illness in several aspects, as well as the EoL care practices utilized by them.

RESULTS

The accounts of the 297 interviewees who supported a dying relative reveal a varied EoL typology. The utilization of end-of-life care practices was associated with the socio-normative beliefs of family caregivers but not with their socioeconomic status. Strong correlations were found between family caregiver support for three key practices (mechanical ventilation, artificial feeding, and family involvement in EoL) and the actual utilization of these practices in the care of dying patients.

CONCLUSIONS

The findings portray an important image of equity in the utilization of EoLCP in Israel, as the use of these practices was not associated with socioeconomic status. At the same time, the study found substantial diversity in family caregivers' preferences regarding EoL care practices use not related to socioeconomic status. We believe that differences in preferences that do not lead to problems with equity or other important societal values should be respected. Accordingly, policymakers and health system leaders should resist calls for legislation that would impose uniform EoL practices for all Israelis. Instead, they should take concrete steps to preserve and enhance the widespread current practice of practitioners to adapt EoL care to the varied needs and preferences of Israeli families and cultural, social, and religious subgroups. These steps should include providing frameworks and tools for family caregivers to support their loved ones close to their deaths, such as educational programs, seminars, supportive care before and during the end of life of their loved ones, etc.

A Longer Life or a Quality Death? A Discrete Choice Experiment to Estimate the Relative Importance of Different Aspects of End-of-Life Care in the United Kingdom

Background. Advocates argue that end-of-life (EOL) care is systematically disadvantaged by the quality-adjusted life-year (QALY) framework. By definition, EOL care is short duration and not primarily intended to extend survival; therefore, it may be inappropriate to value a time element. The QALY also neglects nonhealth dimensions such as dignity, control, and family relations, which may be more important at EOL. Together, these suggest the QALY may be a flawed measure of the value of EOL care. To test these arguments, we administered a stated preference survey in a UK-representative public sample. Methods. We designed a discrete choice experiment (DCE) to understand public preferences over different EOL scenarios, focusing on the relative importance of survival, conventional health dimensions (especially physical symptoms and anxiety), and nonhealth dimensions such as family relations, dignity, and sense of control. We used latent class analysis to understand preference heterogeneity. Results. A 4-class latent class multinomial logit model had the best fit and illustrated important heterogeneity. A small class of respondents strongly prioritized survival, whereas most respondents gave relatively little weight to survival and, generally speaking, prioritized nonhealth aspects. Conclusions. This DCE illustrates important heterogeneity in preferences within UK respondents. Despite some preferences for core elements of the QALY, we suggest that most respondents favored what has been called "a good death" over maximizing survival and find that respondents tended to prioritize nonhealth over conventional health aspects of quality. Together, this appears to support arguments that the QALY is a poor measure of the value of EOL care. We recommend moving away from health-related quality of life and toward a more holistic perspective on well-being in assessing EOL and other interventions.

Highlights

Advocates argue that some interventions, including but not limited to end-of-life (EOL) care, are valued by patients and the public but are systematically disadvantaged by the quality-adjusted life-year (QALY) framework, leading to an unfair and inefficient allocation of health care resources.Using a discrete choice experiment, we find some support for this argument. Only a small proportion of public respondents prioritized survival in EOL scenarios, and most prioritized nonhealth aspects such as dignity and family relations.Together, these results suggest that the QALY may be a poor measure of the value of EOL care, as it neglects nonhealth aspects of quality and well-being that appear to be important to people in hypothetical EOL scenarios.

Factors affecting do-not-attempt-resuscitation (DNAR) decisions among adult patients in the emergency department of a general tertiary teaching hospital in China: a retrospective observational study

OBJECTIVE

Do-not-attempt-resuscitation (DNAR) orders are designed to allow patients to opt out of receiving cardiopulmonary resuscitation in the event of a cardiac arrest. While DNAR has become a standard component of medical care, there is limited research available specifically focusing on DNAR orders in the context of emergency departments in China. This study aimed to fill that gap by examining the factors related to DNAR orders among patients in the emergency department of a general tertiary teaching hospital in China.

DESIGN

Retrospective observational study.

SETTING

Emergency department.

PARTICIPANTS

This study and analysis on adult patients with DNAR or no DNAR data between 1 January 2022 and 1 January 2023 in the emergency department of a large academic comprehensive tertiary teaching hospital. A total of 689 were included in our study.

PRIMARY OUTCOME MEASURES

Whether the patient received DNAR was our dependent variable.

RESULTS

Among the total patients, 365 individuals (53.0%) had DNAR orders. The following variables, including age, sex, age-adjusted Charlson comorbidity index (ACCI), primary diagnosis of cardiogenic or cancer related, history of neurological dysfunction or cancer, were independently associated with the difference between the DNAR group and the no DNAR group. Furthermore, there were significant statistical differences observed in the choice of DNAR among patients with different stages of cancer.

CONCLUSIONS

In comparison to the no DNAR group, patients with DNAR were characterised by being older, having a higher proportion of female patients, higher ACCI scores, a lower number of patients with a primary diagnosis of cardiogenic and a higher number of patients with a primary diagnosis of cancer related, history of neurological dysfunction or cancer.

Differences in trends in discharge location in a cohort of hospitalized patients with cancer and non-cancer diagnoses receiving specialist palliative care: A retrospective cohort study

BACKGROUND

Patients with and without cancer are frequently hospitalized, and have specialist palliative care needs. In-hospital mortality can serve as a quality indicator of acute care. Trends in acute care outcomes have not previously been evaluated in patients with confirmed specialist palliative care needs or between diagnostic groups.

AIM

To compare trends in discharge location between hospitalized patients with and without cancer who received specialist palliative care.

DESIGN

Retrospective cohort study. Association between diagnosis (cancer, non-cancer) and in-hospital mortality was assessed using multivariable logistic regression, controlling for demographic, clinical, and admission-specific information.

SETTING/PARTICIPANTS

Patients who received specialist palliative care at an academic tertiary hospital in Toronto, Canada from 2013 to 2019.

RESULTS

The cohort comprised 6846 patients, 5024 with and 1822 without cancer. A higher proportion of patients without cancer had a Palliative Performance Scale score <30%, anticipated prognosis of <1 month, and were referred for end-of-life care (all p < 0.001). The adjusted odds of dying in hospital was 1.24-times higher among patients without cancer (95% CI: 1.05-1.46; p = 0.011). Though the proportion of patients without cancer who died in hospital decreased by 8.4% from 2013 to 2019, this proportion (41.2%) remained substantially higher compared to patients with cancer (14.0%) in 2019.

CONCLUSIONS

Hospitalized patients without cancer were referred to specialist palliative care at a lower functional status, a poorer anticipated prognosis, and more likely for end-of-life care; and were more likely to die in hospital. Future studies are required to determine whether a proportion of hospital deaths in patients without cancer represent goal-discordant end-of-life care.

Does Hospitalist Care Enhance Palliative Care and Reduce Aggressive Treatments for Terminally Ill Patients? A Propensity Score-Matched Study

BACKGROUND

Information on the use of palliative care and aggressive treatments for terminally ill patients who receive care from hospitalists is limited.

METHODS

This three-year, retrospective, case-control study was conducted at an academic medical center in Taiwan. Among 7037 patients who died in the hospital, 41.7% had a primary diagnosis of cancer. A total of 815 deceased patients who received hospitalist care before death were compared with 3260 patients who received non-hospitalist care after matching for age, gender, catastrophic illness, and Charlson comorbidity score. Regression models with generalized estimating equations were performed.

RESULTS

Patients who received hospitalist care before death, compared to those who did not, had a higher probability of palliative care consultation (odds ratio (OR) = 3.41, 95% confidence interval (CI): 2.63-4.41), and a lower probability to undergo invasive mechanical ventilation (OR = 0.13, 95% CI: 0.10-0.17), tracheostomy (OR = 0.14, 95% CI: 0.06-0.31), hemodialysis (OR = 0.70, 95% CI: 0.55-0.89), surgery (OR = 0.25, 95% CI: 0.19-0.31), and intensive care unit admission (OR = 0.11, 95% CI: 0.08-0.14). Hospitalist care was associated with reductions in length of stay (coefficient (B) = -0.54, 95% CI: -0.62--0.46) and daily medical costs.

CONCLUSIONS

Hospitalist care is associated with an improved palliative consultation rate and reduced life-sustaining treatments before death.

Advanced Care Planning for Hospitalized Patients Following Clinician Notification of Patient Mortality by a Machine Learning Algorithm

Importance

Goal-concordant care is an ongoing challenge in hospital settings. Identification of high mortality risk within 30 days may call attention to the need to have serious illness conversations, including the documentation of patient goals of care.

Objective

To examine goals of care discussions (GOCDs) in a community hospital setting with patients identified as having a high risk of mortality by a machine learning mortality prediction algorithm.

Design, Setting, and Participants

This cohort study took place at community hospitals within 1 health care system. Participants included adult patients with a high risk of 30-day mortality who were admitted to 1 of 4 hospitals between January 2 and July 15, 2021. Patient encounters of inpatients in the intervention hospital where physicians were notified of the computed high risk mortality score were compared with patient encounters of inpatients in 3 community hospitals without the intervention (ie, matched control).

Intervention

Physicians of patients with a high risk of mortality within 30 days received notification and were encouraged to arrange for GOCDs.

Main Outcomes and Measures

The primary outcome was the percentage change of documented GOCDs prior to discharge. Propensity-score matching was completed on a preintervention and postintervention period using age, sex, race, COVID-19 status, and machine learning-predicted mortality risk scores. A difference-in-difference analysis validated the results.

Results

Overall, 537 patients were included in this study with 201 in the preintervention period (94 in the intervention group; 104 in the control group) and 336 patients in the postintervention period. The intervention and control groups included 168 patients per group and were well-balanced in age (mean [SD], 79.3 [9.60] vs 79.6 [9.21] years; standardized mean difference [SMD], 0.03), sex (female, 85 [51%] vs 85 [51%]; SMD, 0), race (White patients, 145 [86%] vs 144 [86%]; SMD 0.006), and Charlson comorbidities (median [range], 8.00 [2.00-15.0] vs 9.00 [2.00 to 19.0]; SMD, 0.34). Patients in the intervention group from preintervention to postintervention period were associated with being 5 times more likely to have documented GOCDs (OR, 5.11 [95% CI, 1.93 to 13.42]; P = .001) by discharge compared with matched controls, and GOCD occurred significantly earlier in the hospitalization in the intervention patients as compared with matched controls (median, 4 [95% CI, 3 to 6] days vs 16 [95% CI, 15 to not applicable] days; P < .001). Similar findings were observed for Black patient and White patient subgroups.

Conclusions and Relevance

In this cohort study, patients whose physicians had knowledge of high-risk predictions from machine learning mortality algorithms were associated with being 5 times more likely to have documented GOCDs than matched controls. Additional external validation is needed to determine if similar interventions would be helpful at other institutions.

The association between social care expenditure and multiple-long term conditions: A population-based area-level analysis

Background

Multiple long-term health conditions (MLTCs) are common and increasing among older people, yet there is limited understanding of their prevalence and association with social care expenditure.

Aim

To estimate the prevalence of MTLCs and association with English social care expenditure.

Methods

Our study population included those aged ≥ 65 who died in England in the year 2018 with any of the following long-term conditions recorded on their death certificate: diabetes; cardiovascular diseases (CVDs) including hypertension; dementia; stroke; respiratory; and chronic kidney diseases (CKDs). Prevalence was based on the proportion of death reported for older people with MTLCs (≥ 2) in each of the 152 English Local Authorities (LAs). Ordinary least square regression (OLS) was used to assess the relationship between prevalence of MTLCs and adult social care expenditure, adjusting for LA characteristics.

Results

Of the 409551 deaths reported, 19.9% (n = 81395) had ≥ 2 MTLCs, of which the combination of CVDs-diabetes was the most prevalent. Hospitals were the leading place of death for those with MTLCs. Results from the OLS regression model showed that an increased prevalence of MLTCs is associated with higher LA social care expenditure. A percentage point increase in prevalence of MLTCs is associated with an increase of about £8.13 in per capita LA social care expenditure.

Conclusion

Our findings suggest that the increased prevalence of MTLCs is associated with increased LA social care expenditure. It is important for future studies to further explore the mechanisms or link between LA social care expenditure and the prevalence of MTLCs.

End of life decisions and preference of place of death among geriatric and chronic disease patients: A scoping review

Background

Geriatric and chronic disease patients and families consider the nature, time, and place of death because issues related to the end of life are rarely discussed. This study assessed the end of life decisions and preferences among geriatric and chronic disease patients.

Methods

There was an in-depth search in five electronic databases (PubMed Central, CINAHL, Embase, Web of Science, and Scopus) using the population, concept, and context, framework. A matrix was developed, discussed, accepted, and used for data extraction. Convergent synthesis and thematic data analysis technique were adopted for the analysis. The reporting of findings was done in accordance with the JBI and PRISMA guidelines for reviews.

Results

From the data analysis, home-based end of life care was intuitive and included home visits, telephone follow-up, and patient-initiated services. The key themes that emerged from our analysis that sought to influence end end of life decisions were 1) approach to home-based end of life care, 2) patient and family characteristics, 3) clinical characteristics of the patient, 4) health care provider factors, 5) satisfaction and care rendered to the patient and family, 6) family preference of the place of death, 7) collaboration between multidisciplinary teams of care, and 8) challenges associated with the home-based end of life care. The personal characteristics of the nurse (age, personal and work experience, nursing perspective, and competence) and conducting a home visit influenced patient and family end of life decision. Multidisciplinary care teams (nurses and palliative care specialists) were important in delivering effective end-of-life services.

Conclusion

To support patients in making informed decisions, they must be educated on expected outcomes and implications, adverse impacts of decisions, and the emotional influence on the bereaved family. It is important that divergent technological methods are leveraged to provide essential care to patients nearing the end of life at home. Advancing the quality of end of life care techniques through home visiting will improve the feeling of patients and families about the dying process.

Tweetable abstracts

End-of-life preferences warrants that, divergent technological methods are leveraged to provide care to patients nearing the end of life.

Factors Influencing Older Adults' End-of-Life Care Preferences

The objective of this study was to explore factors influencing Taiwanese older adults' end-of-life (EOL) care preferences. A cross-sectional questionnaire survey was conducted in 2 geriatric wards of a veterans' hospital. Fifty-five older adults aged 65 years or older were included. Structured questionnaires were used to collect data regarding demographic characteristics, EOL care preferences, stages of change for advance care planning behaviors, and reluctance to burden others. The study revealed that nearly 60% of the participants preferred to let their spouses, adult children, or health care professionals make the decisions. Furthermore, 83.6% of the participants lived with their family members and were moderately to severely disabled with a certain degree of dependence on their family members. Sex, independence, discussion of advance care planning with family members, and completion of advance directives were significantly correlated with EOL care preferences. The regression model showed that the participants' discussion of advance care planning with their family members influenced their EOL care preferences. The results demonstrate that family is an essential consideration for older adults choosing EOL care. Accordingly, because Chinese culture focuses on family harmony, improving communication between older adults and their family members is crucial for promoting advance care planning.

Predicting unplanned hospital readmission in palliative outpatients (PRePP) – study protocol of a longitudinal, prospective study to identify informal caregiver-related and structural predictors

Background

Although the majority of German patients in a palliative state prefer to die at home, the actual place of death is most often a hospital. Unplanned hospital readmissions (UHA) not only contradict most patients’ preferences but also increase the probability of an aggressive end-of-life treatment. As limited knowledge is available which factors contribute to an UHA, the PRePP-project aims to explore predictors related to informal caregivers (IC) as well as medical and structural factors.

Methods

This prospective, observational, mono-centric study will assess structural and medical factors as well as ICs’ psychological burden throughout seven study visits. Starting in April 2021 it will consecutively include 240 patients and their respective IC if available. Standardized measures concerning ICs’ Quality of Life (WHOQOL-BREF), psychological distress (NCCN-Distress Thermometer), anxiety (GAD-7) and depressiveness (PHQ-9) will be assessed. If participants prefer, assessment via phone, browser-based or paper-based will be conducted. Medical records will provide routinely assessed information concerning patient-related characteristics such as gender, age, duration of hospital stay and medical condition. Nurse-reported data will give information on whether hospitalization and death occurred unexpectedly. Data will be progressed pseudonymized. Multivariable regression models will help to identify predictors of the primary endpoint “unplanned hospital admissions”.

Discussion

The PRePP-project is an important prerequisite for a clinical risk assessment of UHAs. Nevertheless, it faces several methodological challenges: as it is a single center study, representativity of results is limited while social desirability might be increased as the study is partly conducted by the treatment team. Furthermore, we anticipated an underrepresentation of highly burdened participants as they might refrain from participation.

Trial registration

This study was retrospectively registered 19 October 2021 at clinicaltrials.gov (NCT05082389). https://clinicaltrials.gov/ct2/show/NCT05082389

Five common pitfalls in mixed methods systematic reviews - lessons learned

OBJECTIVE

Mixed methods systematic reviews (MMSR) combine quantitative and qualitative evidence within a single review. Since the revision of the JBI Methodology for MMSRs in 2020, there has been an increasing number of reviews published that claim to follow this approach. A preliminary examination of these indicated that authors frequently deviated from the methodology. This paper outlines five common 'pitfalls' associated with undertaking MMSR and provides direction for future reviewers attempting MMSR.

METHODS

Forward citation tracking identified 17 reviews published since the revision of the JBI mixed methods methodological guidance. Methods used in these reviews were then examined against the JBI methodology to identify deviations.

RESULTS

The issues identified related to the rationale for choosing the methodological approach; incorrect synthesis and integration approach chosen to answer the review question/s posed; the exclusion of primary mixed methods studies in the review; the lack of detail regarding the process of data transformation and a lack of 'mixing' of the quantitative and qualitative components.

CONCLUSION

This exercise was undertaken to assist systematic reviewers considering conducting a MMSR as well as MMSR users to identify potential areas where authors tend to deviate from the methodological approach. Based on these findings a series of recommendations are provided.

Care preferences in physician orders for life sustaining treatment in California nursing homes

BACKGROUND

Physician Orders for Life-Sustaining Treatment (POLST) facilitates documentation and transition of patients' life-sustaining treatment orders across care settings. Little is known about patient and facility factors related to care preferences within POLST across a large, diverse nursing home population. We describe the orders within POLST among all nursing home (NH) residents in California from 2011 to 2016.

METHODS

California requires NHs to document in the Minimum Data Set whether residents complete a POLST and orders within POLST. Using a serial cross-sectional design for each year, we describe POLST completion and orders for all California NH residents from 2011 to 2016 (N = 1,112,668). We used logistic mixed-effects regression models to estimate POLST completion and resuscitation orders to understand the relationship with resident and facility characteristics, including Centers for Medicare and Medicaid Services (CMS) Nursing Home Compare overall five-star quality rating.

RESULTS

POLST completion significantly increased from 2011 to 2016 with most residents having a POLST in 2016 (short-stay:68%; long-stay:81%). Among those with a POLST in 2016, 54% of long-stay and 41% of short-stay residents had a DNR order. Among residents with DNR, >90% had orders for limited medical interventions or comfort measures. Few residents (<6%) had a POLST with contradictory orders. In regression analyses, POLST completion was greater among residents with more functional dependence, but was lower among those with more cognitive impairment. Greater functional and cognitive impairment were associated with DNR orders. Racial and ethnic minorities indicated more aggressive care preferences. Higher CMS five-star facility quality rating was associated with greater POLST completion.

CONCLUSIONS

Six years after a state mandate to document POLST completion in NHs, most California NH residents have a POLST, and about half of long-stay residents have orders to limit life-sustaining treatment. Future work should focus on determining the quality of care preference decisions documented in POLST.

Comprehensive Care through Family Medicine: Improving the Sustainability of Aging Societies

Comprehensive care through family medicine can enhance the approach to multimorbidity, interprofessional collaboration, and community care, and make medical care more sustainable for older people. This study investigated the effect of implementing family medicine and the comprehensiveness of medical care in one of the most rural communities. This implementation research used medical care data from April 2015 to March 2020. Patients' diagnoses were categorized according to the 10th revision of the International Statistical Classification of Disease and Related Health Problems (ICD-10). In 2016, family medicine was implemented in only one general hospital in Unnan. The comprehensiveness rate improved in all ICD-10 disease categories during the study period, especially in the following categories-infections; neoplasms; endocrine, nutritional, and metabolic diseases; mental disorders; nervous system; circulatory system; respiratory system; digestive system; skin and subcutaneous tissue; musculoskeletal system and connective tissue; and the genitourinary system. Implementing family medicine in rural Japanese communities can improve the comprehensiveness of medical care and resolve the issue of fragmentation of care by improving interprofessional collaboration and community care. It can be a solution for the aging of both patient and healthcare professionals. Future research can investigate the relationship between family medicine and patient health outcomes for improved healthcare sustainability.