The Serious Illness Population: Ascertainment via Electronic Health Record or Claims Data

A randomized controlled trial of a novel home-based palliative care program: A report of a trial that could not be completed

BACKGROUND

In response to a growing need for accessible, efficient, and effective palliative care services, we designed, implemented, and evaluated a novel palliative care at home (PC@H) model for people with serious illness that is centered around a community health worker, a registered nurse, and a social worker, with an advanced practice nurse and a physician for support. Our objectives were to measure the impact of receipt of PC@H on patient symptoms, quality of life, and healthcare utilization and costs.

METHODS

We enrolled 136 patients with serious illness in this parallel, randomized controlled trial. Our primary outcome was change in symptom burden at 6 weeks. Secondary outcomes included change in symptom burden at 3 months, change in quality of life at 6 weeks and 3 months, estimated using a group t-test. In an exploratory aim, we examined the impact of PC@H on healthcare utilization and cost using a generalized linear model.

RESULTS

PC@H resulted in a greater improvement in patient symptoms at 6 weeks (1.30 score improvement, n = 37) and 3 months (3.14 score improvement, n = 21) compared with controls. There were no differences in healthcare utilization and costs between the two groups. Unfortunately, due to the COVID-19 pandemic and a loss of funding, the trial was not able to be completed as originally intended.

CONCLUSIONS

A palliative care at home model that leverages community health workers, registered nurses, and social workers as the primary deliverers of care may result in improved patient symptoms and quality of life compared with standard care. We did not demonstrate significant differences in healthcare utilization and cost associated with receipt of PC@H, likely due to inability to reach the intended sample size and insufficient statistical power, due to elements beyond the investigators' control such as the COVID-19 public health emergency and changes in grant funding.

Challenges and solutions of conducting dementia clinical trials: A palliative care at home pilot for persons with dementia

BACKGROUND

Recruitment and retention are common challenges in clinical trials, particularly with older adults and their caregivers who often benefit from palliative care but have significant strain from caregiving. In recent years, there has been an expansion in home-based palliative care programs, especially for patients with dementia. Because these programs often rely on physicians or advanced practice nurses, they are quite costly and may be difficult to staff due to workforce shortages.

METHODS

We created a novel program of home-based palliative care for patients with advanced dementia and their families, which centers around a community health worker, a social worker, and a nurse. We report on challenges our trial encountered and corresponding solutions.

RESULTS

We enrolled 30 patients and their 30 caregivers in our pilot trial of home-based palliative care. We found two significant barriers to enrollment: (1) the electronic health record was insufficient to determine the severity of patients' dementia; and (2) rates of follow-up survey completion were low, with completion rates at 6 months between 14 and 44%. We created an iterative training process to determine dementia severity from electronic health records and applied person-centered approaches to improve survey completion.

CONCLUSIONS

Electronic health records are not set up to include discrete fields for dementia severity, which makes enrollment of older adults with dementia in a clinical trial challenging. The strain of caring for a loved one with advanced dementia may also make participation in health-services research difficult for patients and their families. Novel approaches have the potential to counteract these challenges, improve recruitment and retention, and ultimately improve care for people with dementia and their caregivers.

Using a theory-based, customized video game as an educational tool to improve physicians' trauma triage decisions: study protocol for a randomized cluster trial

BACKGROUND

Transfer of severely injured patients to trauma centers, either directly from the field or after evaluation at non-trauma centers, reduces preventable morbidity and mortality. Failure to transfer these patients appropriately (i.e., under-triage) remains common, and occurs in part because physicians at non-trauma centers make diagnostic errors when evaluating the severity of patients' injuries. We developed Night Shift, a theory-based adventure video game, to recalibrate physician heuristics (intuitive judgments) in trauma triage and established its efficacy in the laboratory. We plan a type 1 hybrid effectiveness-implementation trial to determine whether the game changes physician triage decisions in real-life and hypothesize that it will reduce the proportion of patients under-triaged.

METHODS

We will recruit 800 physicians who work in the emergency departments (EDs) of non-trauma centers in the US and will randomize them to the game (intervention) or to usual education and training (control). We will ask those in the intervention group to play Night Shift for 2 h within 2 weeks of enrollment and again for 20 min at quarterly intervals. Those in the control group will receive only usual education (i.e., nothing supplemental). We will then assess physicians' triage practices for older, severely injured adults in the 1-year following enrollment, using Medicare claims, and will compare under-triage (primary outcome), 30-day mortality and re-admissions, functional independence, and over-triage between the two groups. We will evaluate contextual factors influencing reach, adoption, implementation, and maintenance with interviews of a subset of trial participants (n = 20) and of other key decision makers (e.g., patients, first responders, administrators [n = 100]).

DISCUSSION

The results of the trial will inform future efforts to improve the implementation of clinical practice guidelines in trauma triage and will provide deeper understanding of effective strategies to reduce diagnostic errors during time-sensitive decision making.

TRIAL REGISTRATION

ClinicalTrials.gov; NCT06063434 . Registered 26 September 2023.

Using a Video Game Intervention to Increase Hospitalists' Advance Care Planning Conversations with Older Adults: a Stepped Wedge Randomized Clinical Trial

BACKGROUND

Guidelines recommend Advance Care Planning (ACP) for seriously ill older adults to increase the patient-centeredness of end-of-life care. Few interventions target the inpatient setting.

OBJECTIVE

To test the effect of a novel physician-directed intervention on ACP conversations in the inpatient setting.

DESIGN

Stepped wedge cluster-randomized design with five 1-month steps (October 2020-February 2021), and 3-month extensions at each end.

SETTING

A total of 35/125 hospitals staffed by a nationwide physician practice with an existing quality improvement initiative to increase ACP (enhanced usual care).

PARTICIPANTS

Physicians employed for ≥ 6 months at these hospitals; patients aged ≥ 65 years they treated between July 2020-May 2021.

INTERVENTION

Greater than or equal to 2 h of exposure to a theory-based video game designed to increase autonomous motivation for ACP; enhanced usual care.

MAIN MEASURE

ACP billing (data abstractors blinded to intervention status).

RESULTS

A total of 163/319 (52%) invited, eligible hospitalists consented to participate, 161 (98%) responded, and 132 (81%) completed all tasks. Physicians' mean age was 40 (SD 7); most were male (76%), Asian (52%), and reported playing the game for ≥ 2 h (81%). These physicians treated 44,235 eligible patients over the entire study period. Most patients (57%) were ≥ 75; 15% had COVID. ACP billing decreased between the pre- and post-intervention periods (26% v. 21%). After adjustment, the homogeneous effect of the game on ACP billing was non-significant (OR 0.96; 95% CI 0.88-1.06; p = 0.42). There was effect modification by step (p < 0.001), with the game associated with increased billing in steps 1-3 (OR 1.03 [step 1]; OR 1.15 [step 2]; OR 1.13 [step 3]) and decreased billing in steps 4-5 (OR 0.66 [step 4]; OR 0.95 [step 5]).

CONCLUSIONS

When added to enhanced usual care, a novel video game intervention had no clear effect on ACP billing, but variation across steps of the trial raised concerns about confounding from secular trends (i.e., COVID).

TRIAL REGISTRATION

Clinicaltrials.gov; NCT04557930, 9/21/2020.

Paid Care for People with Functional Impairment and Serious Illness: Results from the Health and Retirement Study

BACKGROUND

Paid caregivers (e.g., home health aides) care for individuals living at home with functional impairment and serious illnesses (health conditions with high risk of mortality that impact function and quality of life).

OBJECTIVE

To characterize those who receive paid care and identify factors associated with receipt of paid care in the context of serious illness and socioeconomic status.

DESIGN

Retrospective cohort study.

PARTICIPANTS

Community-dwelling participants ≥ 65 years enrolled in the Health and Retirement Study (HRS) between 1998 and 2018 with new-onset functional impairment (e.g., bathing, dressing) and linked fee-for-service Medicare claims (n = 2521).

MAIN MEASURES

Dementia was identified using HRS responses and non-dementia serious illness (e.g., advanced cancer, end-stage renal disease) was identified using Medicare claims. Paid care support was identified using HRS survey report of paid help with functional tasks.

KEY RESULTS

While about 27% of the sample received paid care, those with both dementia and non-dementia serious illnesses in addition to functional impairment received the most paid care (41.7% received ≥ 40 h of paid care per week). In multivariable models, those with Medicaid were more likely to receive any paid care (p < 0.001), but those in the highest income quartile received more hours of paid care (p = 0.05) when paid care was present. Those with non-dementia serious illness were more likely to receive any paid care (p < 0.001), but those with dementia received more hours of care (p < 0.001) when paid care was present.

CONCLUSIONS

Paid caregivers play a significant role in meeting the care needs of those with functional impairment and serious illness and high paid care hours are common among those with dementia in particular. Future work should explore how paid caregivers can collaborate with families and healthcare teams to improve the health and well-being of the seriously ill throughout the income spectrum.

Prevalence of unpaid caregiving, pain, and depression in older seriously ill patients undergoing elective surgery

INTRODUCTION

Serious illness is a life-limiting condition negatively impacting daily function, quality of life, or excessively straining caregivers. Over 1 million older seriously ill adults undergo major surgery annually, and national guidelines recommend that palliative care be available to all seriously ill patients. However, the palliative care needs of elective surgical patients are incompletely described. Understanding baseline caregiving needs and symptom burden among seriously ill older surgical patients could inform interventions to improve outcomes.

METHODS

Using Health and Retirement Study data (2008-2018) linked to Medicare claims, we identified patients ≥66 years who met an established serious illness definition from administrative data and underwent major elective surgery using Agency for Healthcare Research and Quality (AHRQ) criteria. Descriptive analyses were performed for preoperative patient characteristics, including: unpaid caregiving (no or yes); pain (none/mild or moderate/severe); and depression (no, CES-D < 3, or yes, CES-D ≥ 3). Multivariable regression was performed to examine the association between unpaid caregiving, pain, depression, and in-hospital outcomes, including hospital days (days admitted between discharge date and one-year post-discharge), in-hospital complications (no or yes), and discharge destination (home or non-home).

RESULTS

Of the 1343 patients, 55.0% were female and 81.6% were non-Hispanic White. Mean age was 78.0 (SD 6.8); 86.9% had ≥2 comorbidities. Before admission, 27.3% of patients received unpaid caregiving. Pre-admission pain and depression were 42.6% and 32.8%, respectively. Baseline depression was significantly associated with non-home discharge (OR 1.6, 95% CI 1.2-2.1, p = 0.003), while baseline pain and unpaid caregiving needs were not associated with in-hospital or post-acute outcomes in multivariable analysis.

CONCLUSIONS

Prior to elective surgery, older adults with serious illnesses have high unpaid caregiving needs and a prevalence of pain and depression. Baseline depression alone was associated with discharge destinations. These findings highlight opportunities for targeted palliative care interventions throughout the surgical encounter.

Unmet palliative care service needs: a patient-centred metric

OBJECTIVES

Financial pressures and competing demands for limited resources highlight the importance of defining the unmet need for specialty inpatient palliative care (PC), demonstrating the value of the service line and making decisions about staffing. One measure of access to specialty PC is penetration, the percentage of hospitalised adults receiving PC consultations. Although useful, additional means of quantifying programme performance are required for evaluating access by patients who would benefit. The study sought to define a simplified method of calculating unmet need for inpatient PC.

METHODS

This retrospective observational study analysed electronic health records from six hospitals in one health system in Los Angeles County.Unmet need for PC was defined by the number of hospitalised patients with four or more chronic serious comorbidities without a PC consultation divided by a denominator of all patients with one or more chronic serious conditions (CSCs) without a PC during the hospitalisation.

RESULTS

This calculation identified a subset of patients with four or more CSCs that accounts for 10.3% of the population of adults with one or more CSCs who did not receive PC services during a hospitalisation (unmet need). Monthly internal reporting of this metric led to significant PC programme expansion with an increase in average penetration for the six hospitals from 5.9% in 2017 to 11.2% in 2021.

CONCLUSIONS

Health system leadership can benefit from quantifying the need for specialty PC among seriously ill inpatients. This anticipated measure of unmet need is a quality indicator that complements existing metrics.

Patient-Reported Quality Measures for Palliative Care: The Time is now

CONTEXT

While progress has been made in the ability to measure the quality of hospice and specialty palliative care, there are notable gaps. A recent analysis conducted by Center for Medicare and Medicaid Services (CMS) revealed a paucity of patient-reported measures, particularly in palliative care domains such as symptom management and communication.

OBJECTIVES

The research team, consisting of quality measure and survey developers, psychometricians, and palliative care clinicians, used established state-of-the art methods for developing and testing patient-reported measures.

METHODS

We applied a patient-centered, patient-engaged approach throughout the development and testing process. This sequential process included 1) an information gathering phase; 2) a pre-testing phase; 3) a testing phase; and 4) an endorsement phase.

RESULTS

To fill quality measure gaps identified during the information gathering phase, we selected two draft measures ("Feeling Heard and Understood" and "Receiving Desired Help for Pain") for testing with patients receiving palliative care in clinic-based settings. In the pre-testing phase, we used an iterative process of cognitive interviews to refine draft items and corresponding response options for the proposed measures. The alpha pilot test supported establishment of protocols for the national beta field test. Measures met conventional criteria for reliability, had strong face and construct validity, and there was diversity in program level scores. The measures received National Quality Forum (NQF) endorsement.

CONCLUSION

These measures highlight the key role of patient voices in palliative care and fill a much-needed gap for patient-reported experience measures in our field.

Prevalence of use and characteristics of users of home-based medical care in Medicare Advantage

BACKGROUND/OBJECTIVES

Home-based medical care (HBMC) is longitudinal medical care provided by physicians, advanced practice providers, and, often, inter-professional care teams to patients in their homes. Our objective is to determine the prevalence of HBMC among older adults (≥65) insured by a Medicare Advantage (MA) plan and compare characteristics of those who receive HBMC to those who do not.

METHODS

Study used de-identified medical claims and enrollment records for MA beneficiaries during calendar years 2017 and 2018 linked with socioeconomic status data in the OptumLabs Data Warehouse. We defined a cohort of MA beneficiaries age ≥65 receiving HBMC for at least 2 months during 2017-2018, described the cohort using demographic, utilization, and comorbidity data and compared it to a 5% random sample of a population of MA beneficiaries age ≥65 not receiving HBMC (No HBMC).

RESULTS

Overall, 1.45% of the study cohort age ≥65 received HBMC. Compared to No HBMC (n = 132,147), those receiving HBMC (n = 38,800) were more likely to be: older (46.6% vs. 11.9% age 85+); female (70.8% vs. 58.5%); Black (12.3% vs. 11.3%); urban (90.3% vs. 81.3%); experience hospitalization (38.0% vs. 13.3%), emergency department visit (58.3% vs. 26.9%), ambulance trip (44.1% vs. 9.6%), skilled nursing facility (37.6% vs. 6.4%), or hospice care admission (21.1% vs. 3.5%). They also were more likely to experience a wide range of chronic conditions including dementia (58.1% vs. 5.2%), morbidity burden (Charlson score 3.4 vs. 1.8), and serious illness (77.1% vs. 29.5%). All comparisons p < 0.0001.

CONCLUSIONS

MA beneficiaries who received HBMC are older, experience greater chronic and serious illness burden, and higher levels of facility-based care than those who did not receive HBMC. MA plans need strategies to identify patients that would benefit from HBMC and develop approaches to deliver such care to this impactful, often invisible population.

Advance Identification of Patients With Chronic Conditions and Acute Respiratory Failure at Greatest Risk for High-Intensity, Costly Care

CONTEXT

Patients with underlying chronic illness requiring mechanical ventilation for acute respiratory failure are at risk for poor outcomes and high costs.

OBJECTIVES

Identify characteristics at time of intensive care unit (ICU) admission that identify patients at highest risk for high-intensity, costly care.

METHODS

Retrospective cohort study using electronic health and financial records (2011-2017) for patients requiring ≥48 hours of mechanical ventilation with ≥1 underlying chronic condition at an academic healthcare system. Main outcome was total cost of index hospitalization. Exposures of interest included number and type of chronic conditions. We used finite mixture models to identify the highest-cost group.

RESULTS

4,892 patients met study criteria. Median cost for index hospitalization was $135,238 (range, $9,748 -$3,176,065). Finite mixture modelling identified three classes with mean costs of $89,980, $150,603, and $277,712. Patients more likely to be in the high-cost class were: 1) < 72 years old (OR: 2.03; 95% CI:1.63, 2.52); 2) with dementia (OR: 1.55; 95% CI:1.17, 2.06) or chronic renal failure (OR: 1.27; 95% CI:1.08, 1.48); 3) weight loss ≥ 5% in year prior to hospital admission (OR: 1.25; 95% CI:1.05, 1.48); and 4) hospitalized during prior year (OR: 1.92; 95% CI:1.58, 2.35).

CONCLUSION

Among patients with underlying chronic illness and acute respiratory failure, we identified characteristics associated with the highest costs of care. Identifying these patients may be of interest to healthcare systems and hospitals and serve as one indication to invest resources in palliative and supportive care programs that ensure this care is consistent with patients' goals.