Trends in Post-Acute Care use in Medicare Advantage Versus Traditional Medicare: A Retrospective Cohort Analysis.

OBJECTIVES: We sought to describe national trends in hospitalization and post-acute care utilization rates in skilled nursing facilities (SNFs) and home health (HH) for both Medicare Advantage (MA) and Traditional Medicare (TM) beneficiaries, reaching up to the COVID-19 pandemic (2015-2019). DESIGN: Retrospective, observational using 100% sample of Medicare Provider Analysis and Review file (MedPAR), the Medicare Beneficiary Summary File, the Minimum Data Set (MDS), and the Outcome and Assessment Information Set (OASIS). SETTING AND PARTICIPANTS: Medicare beneficiaries aged 66 and older enrolled in MA or TM who were hospitalized and discharged alive. METHODS: We first calculated the proportions of MA and TM beneficiaries who were hospitalized and who used any post-acute care, as well as the total number of days of post-acute care used. We also calculated the size of the post-acute care network used by TM and MA beneficiaries within each hospital in our sample and the measured quality (star ratings) of the post-acute care providers used. RESULTS: We found hospitalizations, SNF stays, and HH stays were all decreasing over time in both populations. Although similar proportions of MA and TM beneficiaries received SNF or HH care, MA beneficiaries received fewer days. The largest difference we found was in the number of post-acute care providers used in TM and MA, with MA using far fewer; however, quality ratings were similar among post-acute care providers used in each program. CONCLUSIONS AND IMPLICATIONS: Together, these results suggest MA beneficiaries have fewer days in post-acute care, receive care from fewer providers of similar measured quality to TM, but have a similar number of days outside the hospital or SNF in the first 100 days after hospital discharge.

Postdischarge needs identified by an automated text messaging program: A mixed-methods study.

BACKGROUND: Text messaging has emerged as a popular strategy to engage patients after hospital discharge. Little is known about how patients use these programs and what types of needs are addressed through this approach. OBJECTIVE: The goal of this study was to describe the types and timing of postdischarge needs identified during a 30-day automated texting program. METHODS: The program ran from January to August 2021 at a primary care practice in Philadelphia. In this mixed-methods study, two reviewers conducted a directed content analysis of patient needs expressed during the program, categorizing them along a well-known transitional care framework. We describe the frequency of need categories and their timing relative to discharge. RESULTS: A total of 405 individuals were enrolled; the mean (SD) age was 62.7 (16.2); 64.2% were female; 47.4% were Black; and 49.9% had Medicare insurance. Of this population, 178 (44.0%) expressed at least one need during the 30-day program. The most frequent needs addressed were related to symptoms (26.8%), coordinating follow-up care (20.4%), and medication issues (15.7%). The mean (SD) number of days from discharge to need was 10.8 (7.9); there were no significant differences in timing based on need category. CONCLUSIONS: The needs identified via an automated texting program were concentrated in three areas relevant to primary care practice and within nursing scope of practice. This program can serve as a model for health systems looking to support transitions through an operationally efficient approach, and the findings of this analysis can inform future iterations of this type of program.

Evaluating the relationship between facility Age-Friendly recognition and subsequent facility-free days in older Veterans.

BACKGROUND: Thousands of health systems have been recognized as "Age-Friendly" for implementing geriatric care practices aligned with the "4Ms" (What Matters, Medication, Mentation, and Mobility). However, the effect of Age-Friendly recognition on patient outcomes is largely unknown. We sought to identify this effect in the Veterans Health Administration (VHA)-one of the largest Age-Friendly integrated health systems in the United States. METHODS: There were 50 VA medical centers (VAMCs) recognized as Age-Friendly by December 2021. We used a time-event difference-in-difference analysis to identify the association of a VAMC's recognition as Age-Friendly on the change in facility-free days (days outside the hospital or nursing home) among Veterans treated at that facility. We also evaluated this association in three subgroups: Veterans at particularly high risk of nursing home entry, Veterans who lived within 10 miles of a medical center, and facilities that had reached Level 2 Age-Friendly recognition. We also evaluated individual components of the endpoint in terms of change in hospital and nursing home days separately. RESULTS: We found Age-Friendly recognition was associated with small statistically significant improvements in facility-free days (0.2% on a base of 97% facility-free days on average per year, or an additional 0.73 days per year on a base of 354 days). There were no differences in any subgroup, or any individual component of the endpoint across all groups. CONCLUSIONS: At the individual level, an increase of 0.2% in facility-free days is a weak effect. However, sites were early in implementation, and facility-free days may not be a responsive outcome measure. However, across an entire population, small changes in facility-free days may accrue large cost savings. Future evaluations should consider a broader variety of process and outcome measures.

Identifying Major Barriers to Home Dialysis (The IM-HOME Study): Findings From a National Survey of Patients, Care Partners, and Providers.

RATIONALE & OBJECTIVE: Developing strategies to improve home dialysis use requires a comprehensive understanding of barriers. We sought to identify the most important barriers to home dialysis use from the perspective of patients, care partners, and providers. STUDY DESIGN: This is a convergent parallel mixed-methods study. SETTING & PARTICIPANTS: We convened a 7-member advisory board of patients, care partners, and providers who collectively developed lists of major patient/care partner-perceived barriers and provider-perceived barriers to home dialysis. We used these lists to develop a survey that was distributed to patients, care partners, and providers-through the American Association of Kidney Patients and the National Kidney Foundation. The surveys asked participants to (1) rank their top 3 major barriers (quantitative) and (2) describe barriers to home dialysis (qualitative). ANALYTICAL APPROACH: We compiled a list of the top 3 patient/care partner-perceived and top 3 provider-perceived barriers (quantitative). We also conducted a directed content analysis of open-ended survey responses (qualitative). RESULTS: There were 522 complete responses (233 providers; 289 patients/care partners). The top 3 patient/care partner-perceived barriers were fear of performing home dialysis; lack of space; and the need for home-based support. The top 3 provider-perceived barriers were poor patient education; limited mechanisms for home-based support staff, mental health, and education; and lack of experienced staff. We identified 9 themes through qualitative analysis: limited education; financial disincentives; limited resources; high burden of care; built environment/structure of care delivery that favors in-center hemodialysis; fear and isolation; perceptions of inequities in access to home dialysis; provider perspectives about patients; and patient/provider resiliency. LIMITATIONS: This was an online survey that is subject to nonresponse bias. CONCLUSIONS: The top 3 barriers to home dialysis for patient/care partners and providers incompletely overlap, suggesting the need for diverse strategies that simultaneously address patient-perceived barriers at home and provider-perceived barriers in the clinic. PLAIN-LANGUAGE SUMMARY: There are many barriers to home dialysis use in the United States. However, we know little about which barriers are the most important to patients and clinicians. This makes it challenging to develop strategies to increase home dialysis use. In this study, we surveyed patients, care partners, and clinicians across the country to identify the most important barriers to home dialysis, namely (1) patients/care partners identified fear of home dialysis, lack of space, and lack of home-based support; and (2) clinicians identified poor patient education, limited support for staff and patients, and lack of experienced staff. These findings suggest that patients and clinicians perceive different barriers and that both sets of barriers should be addressed to expand home dialysis use.

Automated Text Message-Based Program and Use of Acute Health Care Resources After Hospital Discharge: A Randomized Clinical Trial.

Importance: Postdischarge outreach from the primary care practice is an important component of transitional care support. The most common method of contact is via telephone call, but calls are labor intensive and therefore limited in scope. Objective: To test whether a 30-day automated texting program to support primary care patients after hospital discharge reduces acute care revisits. Design, Setting, and Participants: A 2-arm randomized clinical trial was conducted from March 29, 2022, through January 5, 2023, at 30 primary care practices within a single academic health system in Philadelphia, Pennsylvania. Patients were followed up for 60 days after discharge. Investigators were blinded to assignment, but patients and practice staff were not. Participants included established patients of the study practices who were aged 18 years or older, discharged from an acute care hospitalization, and considered medium to high risk for adverse health events by a health system risk score. All analyses were conducted using an intention-to-treat approach. Intervention: Patients in the intervention group received automated check-in text messages from their primary care practice on a tapering schedule for 30 days following discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Patients in the control group received a standard transitional care management telephone call from their practice within 2 business days of discharge. Main Outcomes and Measures: The primary study outcome was any acute care revisit (readmission or emergency department visit) within 30 days of discharge. Results: Of the 4736 participants, 2824 (59.6%) were female; the mean (SD) age was 65.4 (16.5) years. The mean (SD) length of index hospital stay was 5.5 (7.9) days. A total of 2352 patients were randomized to the intervention arm and 2384 were randomized to the control arm. There were 557 (23.4%) acute care revisits in the control group and 561 (23.9%) in the intervention group within 30 days of discharge (risk ratio, 1.02; 95% CI, 0.92-1.13). Among the patients in the intervention arm, 79.5% answered at least 1 message and 41.9% had at least 1 need identified. Conclusions and Relevance: In this randomized clinical trial of a 30-day postdischarge automated texting program, there was no significant reduction in acute care revisits. Trial Registration: ClinicalTrials.gov Identifier: NCT05245773.

An implementation strategy postmortem method developed in the VA rural Transitions Nurse Program to inform spread and scale-up.

BACKGROUND: High-quality implementation evaluations report on intervention fidelity and adaptations made, but a practical process for evaluating implementation strategies is needed. A retrospective method for evaluating implementation strategies is also required as prospective methods can be resource intensive. This study aimed to establish an implementation strategy postmortem method to identify the implementation strategies used, when, and their perceived importance. We used the rural Transitions Nurse Program (TNP) as a case study, a national care coordination intervention implemented at 11 hospitals over three years. METHODS: The postmortem used a retrospective, mixed method, phased approach. Implementation team and front-line staff characterized the implementation strategies used, their timing, frequency, ease of use, and their importance to implementation success. The Expert Recommendations for Implementing Change (ERIC) compilation, the Quality Enhancement Research Initiative phases, and Proctor and colleagues' guidance were used to operationalize the strategies. Survey data were analyzed descriptively, and qualitative data were analyzed using matrix content analysis. RESULTS: The postmortem method identified 45 of 73 ERIC strategies introduced, including 41 during pre-implementation, 37 during implementation, and 27 during sustainment. External facilitation, centralized technical assistance, and clinical supervision were ranked as the most important and frequently used strategies. Implementation strategies were more intensively applied in the beginning of the study and tapered over time. CONCLUSIONS: The postmortem method identified that more strategies were used in TNP than planned and identified the most important strategies from the perspective of the implementation team and front-line staff. The findings can inform other implementation studies as well as dissemination of the TNP intervention.

Association between Timing of Clinical Evaluation by a Physician or Advanced Practitioner and Risk of Rehospitalization in Older Adults Admitted to a Skilled Nursing Facility Following Hospitalization: A Cohort Study.

OBJECTIVES: How transitional care services are provided to patients receiving post-acute care in skilled nursing facilities (SNFs) is not well understood. We aimed to determine the association of timing of physician or advanced practice provider (APP) visit after SNF admission with rehospitalization risk in a national cohort of older adults. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: 2,482,616 Medicare fee-for-service beneficiaries aged ≥66 years who entered an SNF for post-acute care following hospitalization. METHODS: We measured the relative risk of being rehospitalized within 14 days of SNF admission as a function of time to the first PAP visit, using time to follow-up as a time-dependent covariate, adjusted for patient demographics and clinical characteristics. We also evaluated whether findings extended across groups with different SNF prognosis on admission. RESULTS: Patients seen sooner after admission to an SNF (0-1 days) were less likely to be rehospitalized compared to patients seen later (≥2 days). The relative difference was similar across different risk groups. CONCLUSIONS AND IMPLICATIONS: Timely evaluation by a physician or APP after SNF admission may protect against rehospitalization. Investment in the workforce such as training programs, practice innovations, and equitable reimbursement for SNF visits after hospital discharge may mitigate labor shortages that were exacerbated by the COVID pandemic.

Applying i-PARIHS to Identify Emerging Innovations in Hospital Discharge Decision Making in Response to System Stress: A Qualitative Study.

Background: The purpose of this qualitative study was to use a Learning Health System approach to identify factors influencing the emergence of innovation in rehabilitation hospital discharge decision-making during the Coronavirus 2019 (COVID-19) pandemic. Methods: Rehabilitation clinicians were recruited from the Veterans Affairs Health Care System and participated in individual semi-structured interviews guided by the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework. Data were analyzed using a rapid qualitative, deductive team-based approach informed by directed content analysis. Results: Twenty-three rehabilitation clinicians representing physical (N = 11) and occupational therapy (N = 12) participated in the study. Three primary themes were generated: (1) Recipients: innovations emerged as approaches to communicating discharge recommendations changed (in-person to virtual) and strong patient/family preferences to discharge to the home challenged collaborative goal setting; (2) Context: the ability of rehabilitation clinicians to innovate and the form of innovations were influenced by the broader hospital system, interdisciplinary team dynamics, and policy fluctuations; (3) Innovation: emerging innovations in discharge processes included perceived increases in team collaboration, shifts in caseload prioritization, and alternative options for post-acute care. Conclusions: Our findings reinforce that rehabilitation clinicians developed innovative strategies to quickly adapt to multiple systems-level factors that were changing in the face of the COVID-19 pandemic. Future research is needed to assess the impact of innovations, remediate unintended consequences, and evaluate the implementation of promising innovations to respond to emerging healthcare delivery needs more rapidly.

Central Nervous System-Active Prescriptions in Older Veterans: Trends in Prevalence, Prescribers, and High-risk Populations.

BACKGROUND: Little is known about the prevalence or chronicity of prescriptions of central nervous system-active (CNS-active) medications in older Veterans. OBJECTIVE: We sought to describe (1) the prevalence and trends in prescription of CNS-active medications in older Veterans over time; (2) variation in prescriptions across high-risk groups; and (3) where the prescription originated (VA or Medicare Part D). DESIGN: Retrospective cohort study from 2015 to 2019. PARTICIPANTS: Veterans age ≥ 65 enrolled in the Medicare and the VA residing in Veterans Integrated Service Network 4 (incorporating Pennsylvania and parts of surrounding states). MAIN MEASURES: Drug classes included antipsychotics, gabapentinoids, muscle relaxants, opioids, sedative-hypnotics, and anticholinergics. We described prescribing patterns overall and in three subgroups: Veterans with a diagnosis of dementia, Veterans with high predicted utilization, and frail Veterans. We calculated both prevalence (any fill) and percent of days covered (chronicity) for each drug class, and CNS-active polypharmacy (≥ 2 CNS-active medications) rates in each year in these groups. KEY RESULTS: The sample included 460,142 Veterans and 1,862,544 person-years. While opioid and sedative-hypnotic prevalence decreased, gabapentinoids exhibited the largest increase in both prevalence and percent of days covered. Each subgroup exhibited different patterns of prescribing, but all had double the rates of CNS-active polypharmacy compared to the overall study population. Opioid and sedative-hypnotic prevalence was higher in Medicare Part D prescriptions, but the percent of days covered of nearly all drug classes was higher in VA prescriptions. CONCLUSIONS: The concurrent increase of gabapentinoid prescribing paralleling a decrease in opioid and sedative-hypnotics is a new phenomenon that merits further evaluation of patient safety outcomes. In addition, we found substantial potential opportunities for deprescribing CNS-active medications in high-risk groups. Finally, the increased chronicity of VA prescriptions versus Medicare Part D is novel and should be further evaluated in terms of its mechanism and impact on Medicare-VA dual users.

Study protocol: Type III hybrid effectiveness-implementation study implementing Age-Friendly evidence-based practices in the VA to improve outcomes in older adults.

BACKGROUND: Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS: We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION: To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION: Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES: Standards for Reporting Implementation Studies (see attached).

High-intensity home health physical therapy among older adult Veterans: A randomized controlled trial.

BACKGROUND: Older adult Veterans are at high risk for adverse health outcomes following hospitalization. Since physical function is one of the largest potentially modifiable risk factors for adverse health outcomes, our purpose was to determine if progressive, high-intensity resistance training in home health physical therapy (PT) improves physical function in Veterans more than standardized home health PT and to determine if the high-intensity program was comparably safe, defined as having a similar number of adverse events. METHODS: We enrolled Veterans and their spouses during an acute hospitalization who were recommended to receive home health care on discharge because of physical deconditioning. We excluded individuals who had contraindications to high-intensity resistance training. A total of 150 participants were randomized 1:1 to either (1) a progressive, high-intensity (PHIT) PT intervention or (2) a standardized PT intervention (comparison group). All participants in both groups were assigned to receive 12 visits (3 visits/week over 30 days) in their home. The primary outcome was gait speed at 60 days. Secondary outcomes included adverse events (rehospitalizations, emergency department visits, falls and deaths after 30 and 60-days), gait speed, Modified Physical Performance Test, Timed Up-and-Go, Short Physical Performance Battery, muscle strength, Life-Space Mobility assessment, Veterans RAND 12-item Health Survey, Saint Louis University Mental Status exam, and step counts at 30, 60, 90, 180 days post-randomization. RESULTS: There were no differences between groups in gait speed at 60 days, and no significant differences in adverse events between groups at either time point. Similarly, physical performance measures and patient reported outcomes were not different at any time point. Notably, participants in both groups experienced increases in gait speed that met or exceeded established clinically important thresholds. CONCLUSIONS: Among older adult Veterans with hospital-associated deconditioning and multimorbidity, high-intensity home health PT was safe and effective in improving physical function, but not found to be more effective than a standardized PT program.

Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease.

Objective: The objective of this pilot study was to examine the feasibility of a remote physical activity monitoring program, quantify baseline activity levels, and examine predictors of activity among rurally residing adults with Parkinson disease (PD) or stroke. Design: Thirty-day observational study. Participants completed standardized assessments, connected a wearable device, and synced daily step counts via a remote monitoring platform. Setting: Community-based remote monitoring. Participants: Rurally residing adults with PD or stroke enrolled in the Veterans Health Administration. Intervention: N/A. Main Outcome Measures: Feasibility was evaluated using recruitment data (response rates), study completion (completed assessments and connected the wearable device), and device adherence (days recording ≥100 steps). Daily step counts were examined descriptively. Predictors of daily steps were explored across the full sample, then by diagnosis, using linear mixed-effects regression analyses. Results: Forty participants (n=20 PD; n=20 stroke) were included in the analysis with a mean (SD) age of 72.9 (7.6) years. Participants resided 252.6 (105.6) miles from the coordinating site. Recruitment response rates were 11% (PD) and 6% (stroke). Study completion rates were 71% (PD) and 80% (stroke). Device adherence rates were 97.0% (PD) and 95.2% (stroke). Participants with PD achieved a median [interquartile range] of 2618 [3896] steps per day and participants with stroke achieved 4832 [7383] steps. Age was the only significant predictor of daily steps for the full sample (-265 steps, 95% confidence interval [-407, -123]) and by diagnosis (PD, -175 steps, [-335, -15]; stroke, -357 steps [-603, -112]). Conclusions: A remote physical activity monitoring program for rurally residing individuals with PD or stroke was feasible. This study establishes a model for a scalable physical activity program for rural, older populations with neurologic conditions from a central coordinating site.

Implementation and Evaluation of a Training Curriculum for Experienced Nurses in Care Coordination: The VA Rural Transitions Nurse Training Program.

BACKGROUND: High-quality transitional care at discharge is essential for improved patient outcomes. Registered nurses (RNs) play integral roles in transitions; however, few receive structured training. PURPOSE: We sought to create, implement, and evaluate an evidence-informed nursing transitional care coordination curriculum, the Transitions Nurse Training Program (TNTP). METHODS: We conceptualized the curriculum using adult learning theory and evaluated with the New World Kirkpatrick Model. Self-reported engagement, satisfaction, acquired knowledge, and confidence were assessed using surveys. Clinical and communication skills were evaluated by standardized patient assessment and behavior sustainment via observation 6 to 9 months posttraining. RESULTS: RNs reported high degrees of engagement, satisfaction, knowledge, and confidence and achieved a mean score of 92% on clinical and communication skills. Posttraining observation revealed skill sustainment (mean score 98%). CONCLUSIONS: Results suggest TNTP is effective for creating engagement, satisfaction, acquired and sustained knowledge, and confidence for RNs trained in transitional care.

Evaluation of an Automated Text Message-Based Program to Reduce Use of Acute Health Care Resources After Hospital Discharge.

Importance: Posthospital contact with a primary care team is an established pillar of safe transitions. The prevailing model of telephone outreach is usually limited in scope and operationally burdensome. Objective: To determine whether a 30-day automated texting program to support primary care patients after hospital discharge is associated with reductions in the use of acute care resources. Design, Setting, and Participants: This cohort study used a difference-in-differences approach at 2 academic primary care practices in Philadelphia from January 27 through August 27, 2021. Established patients of the study practices who were 18 years or older, were discharged from an acute care hospitalization, and received the usual transitional care management telephone call were eligible for the study. At the intervention practice, 604 discharges were eligible and 430 (374 patients, of whom 46 had >1 discharge) were enrolled in the intervention. At the control practice, 953 patients met eligibility criteria. The study period, including before and after the intervention, ran from August 27, 2020, through August 27, 2021. Exposure: Patients received automated check-in text messages from their primary care practice on a tapering schedule during the 30 days after discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Main Outcomes and Measures: The primary study outcome was any emergency department (ED) visit or readmission within 30 days of discharge. Secondary outcomes included any ED visit or any readmission within 30 days, analyzed separately, and 30- and 60-day mortality. Analyses were based on intention to treat. Results: A total of 1885 patients (mean [SD] age, 63.2 [17.3] years; 1101 women [58.4%]) representing 2617 discharges (447 before and 604 after the intervention at the intervention practice; 613 before and 953 after the intervention at the control practice) were included in the analysis. The adjusted odds ratio (aOR) for any use of acute care resources after implementation of the intervention was 0.59 (95% CI, 0.38-0.92). The aOR for an ED visit was 0.77 (95% CI, 0.45-1.30) and for a readmission was 0.45 (95% CI, 0.23-0.86). The aORs for death within 30 and 60 days of discharge at the intervention practice were 0.92 (95% CI, 0.23-3.61) and 0.63 (95% CI, 0.21-1.85), respectively. Conclusions and Relevance: The findings of this cohort study suggest that an automated texting program to support primary care patients after hospital discharge was associated with significant reductions in use of acute care resources. This patient-centered approach may serve as a model for improving postdischarge care.

What matters when it comes to measuring Age-Friendly Health System transformation.

Thousands of health systems are now recognized as "Age-Friendly Health Systems," making this model one of the most widely disseminated - and most promising- models to redesign care delivery for older adults. Sustaining these gains will require demonstrating the impact on care delivery and outcomes of older adults. We propose a new measurement model to more tightly link Age-Friendly Health System transformation to outcomes within each "M" (What Matters, Medications, Mobility, and Mentation). We evaluated measures based on the following characteristics: (1) conceptual responsiveness to changes brought about by practicing "4Ms" care; (2) degree to which they represent outcomes that matter to older adults; and (3) how they can be feasibly, reliably, and validly measured. We offer specific examples of how novel measures are currently being used where available. Finally, we present measures that could capture system-level effects across "M"s. We tie these suggestions together into a conceptual measurement model for AFHS transformation, with the intent to spur discussion, debate, and iterative improvement in measures over time.