Exploring the cost-effectiveness of advance care planning (by taking a family carer perspective): Findings of an economic modelling study

Advance Directives for Adolescents and Young Adults Living With Neuromuscular Disease: A Nurse Practitioner-Driven Intervention

The literature shows that adolescents and young adults (AYAs) living with neuromuscular disease want to have discussions about goals of care and want them sooner. Conversations about goals of care and advance directives are not common practice in the neuromuscular clinic setting. This nurse practitioner-led project used a conversation tool as a 1-time intervention to guide conversations about participants' goals and wishes, comparing the number of participants with advance directives before and after the use of the intervention, and their satisfaction with having had a conversation about goals of care using this tool was measured. A total of 14 AYAs with genetically confirmed neuromuscular disease were enrolled in this project. There was a 92.9% increase in the number of AYAs with an advance directive demonstrating clinical meaningfulness. Most project participants were either quite a bit satisfied (21.4%) or very much satisfied (57.1%) with having used the intervention to discuss goals of care. This quality improvement project demonstrated that, if asked, AYAs with neuromuscular disease willingly agreed to discuss their goals of care and found satisfaction in using the intervention to complete an advance directive. Advanced Practice Registered Nurses should consider systematic processes to include these discussions as a part of routine practice.

Association of advance care planning with hospital use and costs at the end of life: a population-based retrospective cohort study

OBJECTIVE

To investigate associations between the availability and timing of digitally available advance care planning (ACP) documents and hospital use and costs during the last 6 months of life.

DESIGN

Retrospective population-based cohort study using data linkage.

SETTING

11 public hospitals in Queensland, Australia.

PARTICIPANTS

5586 decedents with ACP documents were directly matched 1:2 to 11 172 control decedents based on age category, sex, location, year of death and principal diagnosis code for the last-known hospital admission.

EXPOSURE

ACP discussions with documents uploaded to a widely accessible statewide digital platform. Directly matched subgroup analyses investigated differences between decedents with ACP documents available at three different times prior to death: ≥6 months, between 1 and 6 months, and <1 month.

MAIN OUTCOMES AND MEASURES

Emergency department (ED) presentations, hospital and intensive care unit (ICU) admissions, and in-hospital deaths, expressed as adjusted OR (aOR). Secondary outcomes were hospital bed-days and costs.

RESULTS

ACP decedents with documents uploaded ≥6 months prior to death, compared with controls, had fewer ED presentations (aOR 0.90, 95% CI 0.81 to 1.00), hospitalisations (aOR 0.83, 95% CI 0.74 to 0.92), ICU admissions (aOR 0.23, 95% CI 0.10 to 0.48), and in-hospital deaths (aOR 0.56, 95% CI 0.51 to 0.63), and lower adjusted mean hospital costs per person over the last 6 months of life ($A2290 less (95% CI -$4116 to -$463)). Conversely, decedents with ACP documents uploaded less than 6 months prior to death showed higher rates of ED presentations and hospital admissions and greater hospital costs relative to controls.

CONCLUSION

The association between digitally available ACP documents and health service use and cost differed based on the timing of ACP upload, with documents available ≥6 months prior to death being associated with less hospital use and costs.

Spending Analysis of Machine Learning-Based Communication Nudges in Oncology

BACKGROUND

Serious illness conversations (SICs) in the outpatient setting may improve mood and quality of life among patients with cancer and decrease aggressive end-of-life care. Interventions informed by behavioral economics may increase rates of SICs between oncology clinicians and patients, but the impact of these interventions on end-of-life spending is unknown.

METHODS

This study is a secondary analysis of a stepped-wedge cluster randomized, controlled trial that involved nine medical oncology practices and their high-risk patients at a large academic institution between June 2019 and April 2020. The study included 1187 patients who were identified by a machine-learning algorithm as high risk of 180-day mortality and who died by December 2020. The patients were randomly assigned to standard of care (controls) or to a behavioral intervention designed to increase clinician-initiated SICs. We abstracted spending - defined as inflation-adjusted costs for acute care (inpatient plus emergency room), office/outpatient care, intravenous systemic therapy, other therapy (e.g., radiation), long-term care, and hospice - from the institution's accounting system, and we captured spending at inpatient, outpatient, and pharmacy settings. To evaluate intervention impacts on spending, we used a two-part model, first using logistic regression to model zero versus nonzero spending and second using generalized linear mixed models with gamma distribution and log-link function to model daily mean spending in the last 180days of life. Models were adjusted for clinic and wedge fixed effects, and they were clustered at the oncologist level. For all patients with at least one SIC within 6 months of death, we also calculated their mean daily spending before and after SIC.

RESULTS

Median age at death was 68years (interquartile range, 15.5), 317 patients (27%) were Black or of ethnicities other than white, and 448 patients (38%) had an SIC. The intervention was associated with lower unadjusted mean daily spending in the last 6 months of life for the intervention group versus controls ($377.96 vs. $449.92; adjusted mean difference, -$75.33; 95% confidence interval, -$136.42 to -$14.23; P=0.02), translating to $13,747 total adjusted savings per decedent and $13 million in cumulative savings across all decedents in the intervention group. Compared with controls, patients in the intervention group incurred lower mean daily spending for systemic therapy (adjusted difference, -$44.59; P=0.001), office/outpatient care (-$9.62; P=0.001), and other therapy (-$8.65; P=0.04). The intervention was not associated with differences in end-of-life spending for acute care, long-term care, or hospice. Results were consistent for spending in the last 1 and 3 months of life and after adjusting for age, race, and ethnicity. For patients with SICs, mean daily spending decreased by $37.92 following the first SIC ($329.87 vs. $291.95).

CONCLUSIONS

A machine learning-based, behaviorally informed intervention to prompt SICs led to end-of-life savings among patients with cancer, driven by decreased systemic therapy and outpatient spending. (Funded by the Penn Center for Precision Medicine and the National Institutes of Health; ClinicalTrials.gov number, NCT03984773.).

Factors Associated With Advance Care Planning by Race

OBJECTIVE

This study aims to quantify and interpret Black-White differences in the factors associated with advance care planning (ACP), with specific attention to self-reported presence of chronic conditions and healthcare stereotype threat (HCST) in medical settings.

METHOD

Black and White individuals aged 50 and older (N = 499) were recruited from community centers and assisted living facilities in southern California and on Amazon Mechanical Turk. Six sequential logistic regressions assessed the effect of age, presence of chronic conditions, income, and HCST on predicting 3 components of ACP by race.

RESULTS

Findings suggest that the awareness of ongoing chronic conditions predicts all 3 aspects of ACP for Whites, but not for Blacks. HCST positively predicts the appointment of a durable power of attorney, but only for Black respondents.

DISCUSSION

These findings offer a novel perspective on racial disparities in ACP that may inform health care providers and community practices.