Outcomes of advance care directives after admission to a long-term care home: DNR the DNH?

Advance Directives Change Frequently in Nursing Home Residents

OBJECTIVES

To describe the rate, timing, and pattern of changes in advance directives (ADs) of do not resuscitate (DNR) and do not hospitalize (DNH) orders among new admissions to nursing homes (NHs).

DESIGN

A retrospective cohort study.

SETTING AND PARTICIPANTS

Admissions to all publicly funded NHs in Ontario, Canada, between January 1, 2013, and December 31, 2017.

METHODS

Residents were followed until discharged from incident NH stay, death, or were still present at the end of study (December 31, 2019). They were categorized into 3 mutually exclusive baseline composite AD groups: Full Code, DNR Only, and DNR+DNH. We used Poisson regression models to estimate the incidence rate ratios of AD change between different AD groups and different decision makers for personal care, adjusted for baseline clinical and sociodemographic variables.

RESULTS

A total of 102,541 NH residents were eligible for inclusion. Residents with at least 1 AD change accounted for 46% of Full Code, 30% of DNR Only, and 25% of DNR+DNH group. Median time to first AD change ranged between 26 and 55 weeks. For Full Code and DNR Only residents, the most frequent change was to an AD 1 level lower in aggressiveness or intervention, whereas for DNR+DNH residents the most frequent change was to DNR Only. About 16% of residents had 2 or more AD changes during their stay. After controlling for covariates, residents with a DNR-only order or DNR+DNH orders at admission and those with a surrogate decision maker were associated with lower AD change rates.

CONCLUSIONS AND IMPLICATIONS

Measuring AD adherence rates that are documented only at a particular time often underestimates the dynamics of AD changes during a resident's stay and results in an inaccurate measure of the effectiveness of AD on resident care. There should be more frequent reviews of ADs as they are quite dynamic. Mandatory review after an acute change in a resident's health would ensure that ADs are current.

Managing greenhouse gas emissions in the terminal year of life in an overwhelmed health system: a paradigm shift for people and our planet

Health care contributes 4·4% of global net carbon emissions. Hospitals are resource-intensive settings, using a large amount of supplies in patient care and have high energy, ventilation, and heating needs. This Viewpoint investigates emissions related to health care in a patient's last year of life. End of life (EOL) is a period when health-care use and associated emissions production increases exponentially due primarily to hospital admissions, which are often at odds with patients' values and preferences. Potential solutions detailed within this Viewpoint are facilitating advanced care plans with patients to ensure their EOL wishes are clear, beginning palliative care interventions earlier when treating a life-limiting illness, deprescribing unnecessary medications because medications and their supply chains make up a significant portion of health-care emissions, and, enhancing access to low-intensity community care settings (eg, hospices) within the last year of life if home care is not available. Our analysis was done using Canadian data, but the findings can be applied to other high-income countries.

Prevalence and factors associated with dynapenia among middle-aged and elderly people in rural southern China

To estimate the prevalence of dynapenia and examine potential risk factors for dynapenia using a sample of rural middle-aged and elderly Chinese. A cross-sectional study of 253 Chinese adults aged 50 years and older was conducted from June to August in 2022 in Nanjing. A questionnaire was used to collect data on all socioeconomic variables. Body weight, height, body fat percentage, grip strength, waist circumference, calf circumference, and gait speed were measured. The prevalence of dynapenia was 69.6 %, 62.3 % in men and 72.7 % in women respectively. Binary logistic regressions indicated significant associations between dynapenia and age (odds ratio [OR] = 2.59; 95 % confidence interval [CI] 1.63, 4.12; p < 0.001), educational level (OR = 0.55; 95 % CI 0.38, 0.80; p = 0.002). Dynapenia was prevalent among rural middle-aged and elderly people in southern China. Age and lower education level were both associated with dynapenia. Nutrition and physical activity should be strongly recommended as important strategies to maintain and improve muscle strength.

Timing of Goals of Care Discussions in Nursing Homes: A Systematic Review

OBJECTIVES

Discussions between health professionals and nursing home (NH) residents or their families about the current or future goals of health care may be associated with better outcomes at the end of life (EOL), such as avoidance of unwanted interventions or death in hospital. The timing of these discussions varies, and it is possible that their influence on EOL outcomes depends on their timing. This study synthesized current evidence concerning the timing of goals of care (GOC) discussions in NHs and its impact on EOL outcomes.

DESIGN

Systematic review.

SETTING AND PARTICIPANTS

Adult populations in NH settings.

METHODS

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines. We searched PubMed, Embase, and Cumulative Index of Nursing and Allied Health from January 2000 to September 2022. We included studies that examined timing of GOC discussions in NHs, were peer-reviewed, and published in English. Quality of the studies was assessed using the Newcastle-Ottawa Scale.

RESULTS

Screening of 1930 abstracts yielded 149 papers that were evaluated for eligibility. Of the 18 articles, representing 16 distinct studies that met review criteria, 12 evaluated the timing of advance directives. There was variation in the timing of GOC discussions and compared with discussions that occurred within a month of death, earlier discussions (eg, at the time of facility admission) were associated with lower rates of hospitalization at the EOL and lower health care costs.

CONCLUSIONS AND IMPLICATIONS

The timing of GOC discussions in NHs varies and evidence suggests that late discussions are associated with poorer EOL outcomes. The benefits of goal-concordant care may be enhanced by earlier and more frequent discussions. Future studies should examine the optimal timing for GOC discussions in the NH population.

Reducing unplanned hospital admissions from care homes: a systematic review

Background

Care homes predominantly care for older people with complex health and care needs, who are at high risk of unplanned hospital admissions. While often necessary, such admissions can be distressing and provide an opportunity cost as well as a financial cost.

Objectives

Our objective was to update a 2014 evidence review of interventions to reduce unplanned admissions of care home residents. We carried out a systematic review of interventions used in the UK and other high-income countries by synthesising evidence of effects of these interventions on hospital admissions; feasibility and acceptability; costs and value for money; and factors affecting applicability of international evidence to UK settings.

Data sources

We searched the following databases in December 2021 for studies published since 2014: Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews; Cumulative Index to Nursing and Allied Health Literature; Health Management Information Consortium; Medline; PsycINFO; Science and Social Sciences Citation Indexes; Social Care Online; and Social Service Abstracts. 'Grey' literature (January 2022) and citations were searched and reference lists were checked.

Methods

We included studies of any design reporting interventions delivered in care homes (with or without nursing) or hospitals to reduce unplanned hospital admissions. A taxonomy of interventions was developed from an initial scoping search. Outcomes of interest included measures of effect on unplanned admissions among care home residents; barriers/facilitators to implementation in a UK setting and acceptability to care home residents, their families and staff. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. We used published frameworks to extract data on intervention characteristics, implementation barriers/facilitators and applicability of international evidence. We performed a narrative synthesis grouped by intervention type and setting. Overall strength of evidence for admission reduction was assessed using a framework based on study design, study numbers and direction of effect.

Results

We included 124 publications/reports (30 from the UK). Integrated care and quality improvement programmes providing additional support to care homes (e.g. the English Care Homes Vanguard initiatives and hospital-based services in Australia) appeared to reduce unplanned admissions relative to usual care. Simpler training and staff development initiatives showed mixed results, as did interventions aimed at tackling specific problems (e.g. medication review). Advance care planning was key to the success of most quality improvement programmes but do-not-hospitalise orders were problematic. Qualitative research identified tensions affecting decision-making involving paramedics, care home staff and residents/family carers. The best way to reduce end-of-life admissions through access to palliative care was unclear in the face of inconsistent and generally low-quality evidence.

Conclusions

Effective implementation of interventions at various stages of residents' care pathways may reduce unplanned admissions. Most interventions are complex and require adaptation to local contexts. Work at the interface between health and social care is key to successful implementation.

Limitations

Much of the evidence identified was of low quality because of factors such as uncontrolled study designs and small sample size. Meta-analysis was not possible.

Future work

We identified a need for improved economic evidence and the evaluation of integrated care models of the type delivered by hospital-based teams. Researchers should carefully consider what is realistic in terms of study design and data collection given the current context of extreme pressure on care homes.

Study registration

This study is registered as PROSPERO database CRD42021289418.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (award number NIHR133884) and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 18. See the NIHR Journals Library website for further project information.

Examining the "Potentially Preventable Emergency Department Transfer" Indicator Among Nursing Home Residents

OBJECTIVE

To determine if nursing home (NH) resident characteristics associated with potentially preventable emergency department transfers (PPEDs) are similarly associated with non-potentially preventable emergency department transfers (non-PPEDs).

DESIGN

We conducted a population-level retrospective cohort study using linked administrative data reported using the Resident Assessment Instrument-Minimum Data Set Version 2.0 and the National Ambulatory Care Reporting System for emergency department transfers.

SETTING AND PARTICIPANTS

We assessed all NH residents transferred to the emergency department within 92 days after admission. The cohort included 56,433 NH resident admissions assessment of which 3498 NH residents experienced PPEDs, and 9331 residents experienced non-PPEDs.

METHODS

We assessed Ontario NH residents admission assessments collected between January 1, 2017, and December 31, 2018. We used cumulative incidence functions and Cox regression to compare resident characteristics between residents experiencing PPEDs and non-PPEDs. PPEDs were defined based on the International Classification of Diseases, 10th Revision.

RESULTS

Approximately 23% of residents experienced an emergency department transfer within 92 days of NH admission. The cumulative incidence of PPEDs was 6.3% and non-PPEDs was 16.8%. After adjusting for clinically relevant features, 14 of 18 resident admission characteristics were associated with both types of transfers. Resident admission characteristics associated with a greater risk of PPEDs solely were pneumonia [hazard ratio (HR) 1.48; CI 1.25-1.70] and oxygen therapy (HR 1.88; CI 1.69-2.10). Resident admission characteristics associated with a greater risk of non-PPEDs solely are experiencing a change in mood (HR 1.09; CI 1.01-1.18) and delirium (HR 1.08; CI 1.04-1.13).

CONCLUSIONS AND IMPLICATIONS

PPEDs were associated with a similar cluster of NH resident characteristics as those transferred for non-ambulatory reasons, suggesting that the clinical distinction between PPEDs vs non-PPEDs within the NH might be unclear. These findings highlight that the PPED indicator could be revised to improve specificity.

Education, Policy, and Advocacy in Predicting Use of Do-Not-Hospitalize Orders in Skilled Nursing Facilities

Nurses and social workers are uniquely positioned to advocate for patients' wishes for do-not-hospitalize (DNH) directives. The purpose of the current study was to explore the impact of DNH education, policy, and advocacy on the use of DNH orders by nurses (RNs and licensed practical nurses [LPNs]) and social workers employed in skilled nursing facilities (SNFs). This multisite secondary analysis used cross-sectional survey data and analyzed responses of RNs, LPNs, and social workers (N = 354) from 29 urban SNFs. Mixed model regression was used to examine possible predictors of frequency of DNH orders within SNFs while adjusting for random effects. Results showed that having a DNH written policy, education on DNH orders, and having an advanced care planning advocate in the facility were strongly associated with a higher reported frequency of DNH discussions with residents and their families (p < 0.01 for each variable). [Journal of Gerontological Nursing, 48(11), 45-52.].

Effect of advance care planning video on do-not-hospitalize orders for nursing home residents with advanced illness

BACKGROUND

The purpose of the study is to evaluate the effect of an Advance Care Planning (ACP) Video Program on documented Do-Not-Hospitalize (DNH) orders among nursing home (NH) residents with advanced illness.

METHODS

Secondary analysis on a subset of NHs enrolled in a cluster-randomized controlled trial (41 NHs in treatment arm implemented the ACP Video Program: 69 NHs in control arm employed usual ACP practices). Participants included long (> 100 days) and short (≤ 100 days) stay residents with advanced illness (advanced dementia or cardiopulmonary disease (chronic obstructive pulmonary disease or congestive heart failure)) in NHs from March 1, 2016 to May 31, 2018 without a documented Do-Not-Hospitalize (DNH) order at baseline. Logistic regression with covariate adjustments was used to estimate the impact of the resident being in a treatment versus control NH on: the proportion of residents with new DNH orders during follow-up; and the proportion of residents with any hospitalization during follow-up. Clustering at the facility-level was addressed using hierarchical models.

RESULTS

The cohort included 6,117 residents with advanced illness (mean age (SD) = 82.8 (8.4) years, 65% female). Among long-stay residents (n = 3,902), 9.3% (SE, 2.2; 95% CI 5.0-13.6) and 4.2% (SE, 1.1; 95% CI 2.1-6.3) acquired a new DNH order in the treatment and control arms, respectively (average marginal effect, (AME) 5.0; SE, 2.4; 95% CI, 0.3-9.8). Among short-stay residents with advanced illness (n = 2,215), 8.0% (SE, 1.6; 95% CI 4.6-11.3) and 3.5% (SE 1.0; 95% CI 1.5-5.5) acquired a new DNH order in the treatment and control arms, respectively (AME 4.4; SE, 2.0; 95% CI, 0.5-8.3). Proportion of residents with any hospitalizations did not differ between arms in either cohort.

CONCLUSIONS

Compared to usual care, an ACP Video Program intervention increased documented DNH orders among NH residents with advanced disease but did not significantly reduce hospitalizations.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02612688 .