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.

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.

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.

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.

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.

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.

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).

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.

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.

VA nursing home compare metrics as an indicator of skilled nursing facility quality for veterans

BACKGROUND

The Veterans Administration (VA) provides several post-acute care (PAC) options for Veterans, including VA-owned nursing homes (called Community Living Centers, CLCs). In 2016, the VA released CLC Compare star ratings to support decision-making. However, the relationship between CLC Compare star ratings and Veterans CLC post-acute outcomes is unknown.

METHODS

Retrospective observational study using national VA and Medicare data for Veterans discharged to a CLC for PAC. We used a multivariate regression model with hospital random effects to examine the association between CLC Compare overall star ratings and PAC outcomes while controlling for patient, facility, and hospital factors. Our sample included Veteran enrollees age 65+ who were community-dwelling, experienced a hospitalization, and were discharged to a CLC in 2016-2017. PAC outcomes included 30-day unplanned hospital readmission, 30-day mortality, 100-day successful community discharge, and a secondary composite outcome of unplanned readmission or death within 30-days of the hospital discharge.

RESULTS

Of the 25,107 CLC admissions, 4088 (16.3%) experienced an unplanned readmission, 4069 (16.2%) died within 30-days of hospital discharge, and 12,093 (48.2%) had a successful 100-day community discharge. Admission to a lower-quality (1-star) facility was associated with lower odds of successful community discharge (OR 0.78; 95% CI 0.66, 0.91) and higher odds of a combined endpoint of 30-day mortality and readmission (OR 1.27; 95% CI 1.09, 1.49), compared to 5-star facilities. However, outcomes were not consistently different between 5-star and 2, 3, or 4-star facilities. Star ratings were not associated with individual readmission or mortality outcomes when considered separately.

CONCLUSION

These findings suggest comparisons of 1-star and 5-star CLCs may provide meaningful information for Veterans making decisions about post-acute care. Identifying ways to alter the star ratings so they are differentially associated with outcomes meaningful to Veterans at each level is essential. We found that 1-star facilities had higher rates of 30-day unplanned hospital readmission/death, and lower rates of 100-day successful community discharges compared to 5-star facilities. Yet, like past work on CMS Nursing Home Compare ratings, these relationships were found to be inconsistent or not meaningful across all star levels. CLC Compare may provide useful information for discharge and organizational planning, with some limitations.

Association of Medicare-Medicaid Dual Eligibility and Race and Ethnicity With Ischemic Stroke Severity

IMPORTANCE

Black and Hispanic US residents are disproportionately affected by stroke incidence, and patients with dual eligibility for Medicare and Medicaid may be predisposed to more severe strokes. Little is known about differences in stroke severity for individuals with dual eligibility, Black individuals, and Hispanic individuals, but understanding hospital admission stroke severity is the first important step for focusing strategies to reduce disparities in stroke care and outcomes.

OBJECTIVE

To examine whether dual eligibility and race and ethnicity are associated with stroke severity in Medicare beneficiaries admitted to acute hospitals with ischemic stroke.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cross-sectional study was conducted using Medicare claims data for patients with ischemic stroke admitted to acute hospitals in the United States from October 1, 2016, to November 30, 2017. Data were analyzed from July 2021 and January 2022.

EXPOSURES

Dual enrollment for Medicare and Medicaid; race and ethnicity categorized as White, Black, Hispanic, and other.

MAIN OUTCOMES AND MEASURES

Claim-based National Institutes of Health Stroke Scale (NIHSS) categorized into minor (0-7), moderate (8-13), moderate to severe (14-21), and severe (22-42) stroke.

RESULTS

Our sample included 45 459 Medicare fee-for-service patients aged 66 and older (mean [SD] age, 80.2 [8.4]; 25 303 [55.7%] female; 7738 [17.0%] dual eligible; 4107 [9.0%] Black; 1719 [3.8%] Hispanic; 37 715 [83.0%] White). In the fully adjusted models, compared with White patients, Black patients (odds ratio [OR], 1.21; 95% CI, 1.06-1.39) and Hispanic patients (OR, 1.54; 95% CI, 1.29-1.85) were more likely to have a severe stroke. Using White patients without dual eligibility as a reference group, White patients with dual eligibility were more likely to have a severe stroke (OR, 1.75; 95% CI, 1.56-1.95). Similarly, Black patients with dual eligibility (OR, 2.15; 95% CI, 1.78-2.60) and Hispanic patients with dual eligibility (OR, 2.50; 95% CI, 1.98-3.16) were more likely to have a severe stroke.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, Medicare fee-for-service patients with ischemic stroke admitted to acute hospitals who were Black or Hispanic had a higher likelihood of worse stroke severity. Additionally, dual eligibility status had a compounding association with stroke severity regardless of race and ethnicity. An urgent effort is needed to decrease disparities in access to preventive and poststroke care for dual eligible and minority patients.

Effectiveness of the rural transitions nurse program for Veterans: A multicenter implementation study

BACKGROUND

Veterans are often transferred from rural areas to urban VA Medical Centers for care. The transition from hospital to home is vulnerable to postdischarge adverse events.

OBJECTIVE

To evaluate the effectiveness of the rural Transitions Nurse Program (TNP).

DESIGN, SETTING, AND PARTICIPANTS

National hybrid-effectiveness-implementation study, within site propensity-matched cohort in 11 urban VA hospitals. 3001 Veterans were enrolled in TNP from April 2017 to September 2019, and 6002 matched controls.

INTERVENTION AND OUTCOMES

The intervention was led by a transitions nurse who assessed discharge readiness, provided postdischarge communication with primary care providers (PCPs), and called the Veteran within 72 h of discharge home to assess needs, and encourage follow-up appointment attendance. Controls received usual care. The primary outcomes were PCP visits within 14 days of discharge and all-cause 30-day readmissions. Secondary outcomes were 30-day emergency department (ED) visits and 30-day mortality. Patients were matched by length of stay, prior hospitalizations and PCP visits, urban/rural status, and 32 Elixhauser comorbidities.

RESULTS

The 3001 Veterans enrolled in TNP were more likely to see their PCP within 14 days of discharge than 6002 matched controls (odds ratio = 2.24, 95% confidence interval [CI] = 2.05-2.45). TNP enrollment was not associated with reduced 30-day ED visits or readmissions but was associated with reduced 30-day mortality (hazard ratio = 0.33, 95% CI = 0.21-0.53). PCP and ED visits did not have a significant mediating effect on outcomes. The observational design, potential selection bias, and unmeasurable confounders limit causal inference.

CONCLUSIONS

TNP was associated with increased postdischarge follow-up and a mortality reduction. Further investigation to understand the reduction in mortality is needed.

Skilled Nursing Facility Performance and Readmission Rates Under Value-Based Purchasing

IMPORTANCE

The new Medicare Skilled Nursing Facility Value-Based Purchasing program (SNF VBP) seeks to improve patient outcomes by awarding financial incentives or penalties based on 30-day hospital readmission rates. Skilled nursing facilities (SNFs) can avoid a penalty through low baseline readmission rates or improvement over time.

OBJECTIVE

To assess the baseline performance and improvement over time of SNFs in the SNF VBP program.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study examined readmission rates, financial penalties and incentives, and facility and patient characteristics associated with these outcomes at 14 959 US SNFs that received Medicare payments between January 1, 2015, and December 31, 2019.

MAIN OUTCOMES AND MEASURES

Outcomes were readmission rates and financial penalties by facility. The SNFs were classified as improvers in the analysis if they had better improvement scores than baseline scores under the program and achievers if they had higher baseline scores than improvement scores.

RESULTS

Of 14 959 SNFs studied, 1849 (12.3%) were assigned their improvement score as their performance score in the first year of the program. Of these, 1167 (63.1%) received a financial penalty, whereas 374 (20.2%) received a bonus. Only 52 facilities that performed poorly at baseline (0.3% of all SNFs and 0.7% of below-median performers) were able to improve enough to avoid a financial penalty, despite large improvements in readmission rates. Improver SNFs treated larger racial minority populations (mean [SD], 74.57% [23.42%] White in the improver group vs 79.15% [22.18%] in the achiever group) and were located in counties with larger minority populations (mean [SD], 15.48% [14.05%] Black in the improver group vs 11.57% [12.72%] Black in the achiever group). The most important predictors of improvement were related to SNF finances, such as operating margin (mean [SD], -0.74 [13.87]) and occupancy rates (mean [SD], 79.93 [14.81]).

CONCLUSIONS AND RELEVANCE

This cross-sectional study suggests that the SNF VBP program did not offer a viable path for nearly all low-performing SNFs to avoid financial penalties through improved readmission rates.

Screening, Monitoring, and Referral to Treatment for Young Adolescents at an Urban School-Based Health Center

BACKGROUND

This study describes the experience of implementing a screening, monitoring, and referral to treatment (SMARTT) initiative at an urban middle school school-based health center.

METHODS

Retrospective data were collected for adolescents screened with the Pediatric Symptom Checklist-17-Y. At-risk adolescents having unmet health needs were offered a mental health referral, and those that declined a mental health referral were offered a primary care monitoring (PCM) visit with the medical provider. Chi-square analyses were used to evaluate differences in screening and outcomes by age, sex, and race/ethnicity.

RESULTS

One out of four adolescents had a positive PSC-17-Y or negative screen with other identified concerns. Approximately half of these at-risk adolescents accepted a mental health referral, and 86% of those who declined agreed to the PCM visit. More than two-thirds of the PCM group did not need continued monitoring and support at follow-up, and 85.4% of youth who had a mental health assessment accepted mental health services.

CONCLUSIONS

The SMARTT initiative successfully demonstrated that co-located and integrated mental health services can enhance access and connection to mental health services for at-risk youth. In addition, PCM visits were found to be an effective option for youth who declined mental health referrals.

Use of Post-Acute Care by Medicare Beneficiaries With a Diagnosis of Dementia

OBJECTIVES

Hospitalized patients with dementia transitioning to post-acute care may be particularly vulnerable to changes in post-acute care utilization driven by payment reforms; however, use of post-acute care in this population is incompletely understood. We sought to describe post-acute care utilization in skilled nursing facilities (SNFs) and from home health (HH) agencies among Medicare beneficiaries with a diagnosis of dementia.

DESIGN

Retrospective, observational study using 100% sample of Medicare beneficiaries from 2013 to 2016.

SETTING AND PARTICIPANTS

We identified hospitalizations and diagnoses using Medicare Provider Analysis and Review (MedPAR), SNF stays using the Minimum Data Set, HH episodes using the Outcome and Assessment Information Set, and dementia diagnoses using the Medicare Beneficiary Summary File Chronic Conditions segment.

METHODS

We calculated overall utilization and trends in post-acute care use over time, stratified by dementia diagnosis, type of post-acute care (SNF vs HH), and payer (fee-for-service vs Medicare Advantage).

RESULTS

Of the 9,762,208 Medicare fee-for-service beneficiaries who received post-acute care from 2013 to 2016, 3,155,560 (32.3%) carried a diagnosis of dementia. Rates of post-acute care use were similar over time. More beneficiaries with a diagnosis of dementia received post-acute care (44.2% vs 27.7%) and proportionally more SNF care (71.7% vs 49.6%). Overall use and trends were similar in the Medicare Advantage population.

CONCLUSIONS AND IMPLICATIONS

One-third of all fee-for-service Medicare beneficiaries receiving post-acute care have a diagnosis of dementia, and more than 7 in 10 receive this care in an SNF. These findings serve as a foundation for needed evaluations of how best to meet the post-hospital needs of older adults with dementia.

Postacute care outcomes in home health or skilled nursing facilities in patients with a diagnosis of dementia

OBJECTIVE

To compare the outcomes of postacute care between home health (HH) and skilled nursing facilities (SNFs) following hospitalization among Medicare beneficiaries with a diagnosis of dementia.

DATA SOURCES

100% MedPAR data, Minimum Data Set, and Outcome and Assessment Information Set assessment data from January 1, 2015 to December 31, 2016.

STUDY DESIGN

Retrospective cohort analysis using an instrumental variable design to compare outcomes (30-day readmission and mortality, 100-day mortality) of HH versus SNF following acute hospitalization. We used the differential distance between patients' home and the closest HH agency and SNF to instrument for nonrandom allocation of patients.

DATA COLLECTION/EXTRACTION METHODS

We identified hospital discharges followed by SNF and HH stays for Medicare fee-for-service beneficiaries with dementia. We excluded beneficiaries younger than age 65, admitted to the hospital from a nursing home, or enrolled in hospice. We identified dementia using validated diagnostic codes with a 3-year look-back.

PRINCIPAL FINDINGS

Our sample included 977,946 beneficiaries with a diagnosis of dementia; 297,732 (30.4%) received HH, while 680,214 (69.6%) went to SNF. Overall, 16.8% were readmitted to the hospital and 6.1% died within 30 days, while 15.4% died within 100 days of hospital discharge. In the instrumental variable analysis, there were no differences in any outcome between the two postacute care settings.

CONCLUSIONS

Medicare beneficiaries with a diagnosis of dementia receiving postacute care in HH or SNF experienced similar rates of readmission and mortality across settings. This finding raises important questions about current postacute care referral patterns, given 7 in 10 patients with a diagnosis of dementia in our sample were discharged to SNF.

Gaps in Hospital and Skilled Nursing Facility Responsibilities During Transitions of Care: a Comparison of Hospital and SNF Clinicians' Perspectives

BACKGROUND

Adverse outcomes are common in transitions from hospital to skilled nursing facilities (SNFs). Gaps in transitional care processes contribute to these outcomes, but it is unclear whether hospital and SNF clinicians have the same perception about who is responsible for filling these gaps in care transitions.

OBJECTIVE

We sought to understand the perspectives of hospital and SNF clinicians on their roles and responsibilities in transitional care processes, to identify areas of congruence and gaps that could be addressed to improve transitions.

DESIGN

Semi-structured interviews with interdisciplinary hospital and SNF providers.

PARTICIPANTS

Forty-one clinicians across 3 hospitals and 3 SNFs including nurses (8), social workers (7), physicians (8), physical and occupational therapists (12), and other staff (6).

APPROACH

Using team-based approach to deductive analysis, we mapped responses to the 10 domains of the Ideal Transitions of Care Framework (ITCF) to identify areas of agreement and gaps between hospitals and SNFs.

KEY RESULTS

Although both clinician groups had similar conceptions of an ideal transitions of care, their perspectives included significant gaps in responsibilities in 8 of the 10 domains of ITCF, including Discharge Planning; Complete Communication of Information; Availability, Timeliness, Clarity and Organization of Information; Medication Safety; Educating Patients to Promote Self-Management; Enlisting Help of Social and Community Supports; Coordinating Care Among Team Members; and Managing Symptoms After Discharge.

CONCLUSIONS

As hospitals and SNFs increasingly are held jointly responsible for the outcomes of patients transitioning between them, clarity in roles and responsibilities between hospital and SNF staff are needed. Improving transitions of care may require site-level efforts, joint hospital-SNF initiatives, and national financial, regulatory, and technological fixes. In the meantime, building effective hospital-SNF partnerships is increasingly important to delivering high-quality care to a vulnerable older adult population.

Outcomes of post-acute care in skilled nursing facilities in Medicare beneficiaries with and without a diagnosis of dementia

BACKGROUND

More than 600,000 Medicare beneficiaries with a diagnosis of dementia are discharged to skilled nursing facilities (SNFs) after hospitalization annually. However, it is unclear how their risks and benefits of a SNF stay compare to beneficiaries without a diagnosis of dementia.

DESIGN

Retrospective analysis comparing SNF outcomes for Medicare beneficiaries with and without a diagnosis of dementia.

SETTING

One hundred percent sample of Medicare beneficiaries from 2015 to 2016.

PARTICIPANTS

Dementia was identified using validated diagnosis codes. In beneficiaries who had an acute hospitalization followed by SNF stay, we used propensity score matching to balance demographics, comorbidities, characteristics of the index hospital stay, prior hospital and SNF utilization, and cognitive status on SNF admission.

MEASUREMENTS

Outcomes included unplanned hospital readmission, community discharge rate, and mortality during the SNF stay. Multivariate models were adjusted for hospital and SNF characteristics.

RESULTS

Our sample included 2,418,853 Medicare beneficiaries discharged from hospital to SNF; 830,524 (34.3%) carried a diagnosis of dementia. Overall, 14.7% of the sample had a hospital readmission, 5.0% died, and 61.5% were successfully discharged to the community. In the propensity-matched cohort, beneficiaries with a diagnosis of dementia had a lower odds ratio of mortality (OR 0.87; 95% confidence interval [CI] 0.86-0.89), similar odds of hospital readmission (OR 0.99; 95% CI 0.98-1.00), and reduced odds of discharge to the community (OR 0.92; 95% CI 0.91-0.93). However, these findings varied by the severity of cognitive impairment on SNF admission: in beneficiaries with no impairment, those with a diagnosis of dementia had higher odds of adverse outcomes. In beneficiaries with severe impairment, beneficiaries with a diagnosis of dementia had lower odds of adverse outcomes.

CONCLUSIONS

Cognitive dysfunction on SNF admission is a stronger predictor of outcomes than a diagnosis of dementia, suggesting the need to individualize decisions about the benefits and risks of SNF care in populations with cognitive impairment.

Ready to Go Home? Assessment of Shared Mental Models of the Patient and Discharging Team Regarding Readiness for Hospital Discharge

BACKGROUND

A critical task of the inpatient interprofessional team is readying patients for discharge. Assessment of shared mental model (SMM) convergence can determine how much team members agree about patient discharge readiness and how their mental models align with the patient's self-assessment.

OBJECTIVE

Determine the convergence of interprofessional team SMMs of hospital discharge readiness and identify factors associated with these assessments.

DESIGN

We surveyed interprofessional discharging teams and each team's patient at time of hospital discharge using validated tools to capture their SMMs.

PARTICIPANTS

Discharge events (N = 64) from a single hospital consisting of the patient and their team (nurse, coordinator, physician).

MEASURES

Clinician and patient versions of the validated Readiness for Hospital Discharge Scales/Short Form (RHDS/SF). We measured team convergence by comparing the individual clinicians' scores on the RHDS/SF, and we measured team-patient convergence as the absolute difference between the Patient-RHDS/SF score and the team average score on the Clinician-RHDS/SF.

RESULTS

Discharging teams assessed patients as having high readiness for hospital discharge (mean score, 8.5 out of 10; SD, 0.91). The majority of teams had convergent SMMs with high to very high interrater agreement on discharge readiness (mean r^*_wg(J), 0.90; SD, 0.10). However, team-patient SMM convergence was low: Teams overestimated the patient's self-assessment of readiness for discharge in 48.4% of events. We found that teams reporting higher-quality teamwork (P = .004) and bachelor's level-trained nurses (P < .001) had more convergent SMMs with the patient.

CONCLUSION

Measuring discharge teams' SMM of patient discharge readiness may represent an innovative assessment tool and potential lever to improve the quality of care transitions.

How Context Influences Hospital Readmissions from Skilled Nursing Facilities: A Rapid Ethnographic Study

INTRODUCTION

Improving hospital discharge processes and reducing adverse outcomes after hospital discharge to skilled nursing facilities (SNFs) are gaining national recognition. However, little is known about how the social-contextual factors of hospitals and their affiliated SNFs may influence the discharge process and drive variations in patient outcomes. We sought to categorize contextual drivers that vary between high- and low-performing hospitals in older adult transition from hospitals to SNFs.

DESIGN

To identify contextual drivers, we used a rapid ethnographic approach with interviews and direct observations of hospital and SNF clinicians involved in discharging patients. We conducted thematic analysis to categorize contextual factors and compare differences in high- and low-performing sites.

SETTING AND PARTICIPANTS

We stratified hospitals on 30-day hospital readmission rates from SNFs and used convenience sampling to identify high- and low-performing sites and associated SNFs. The final sample included 4 hospitals (n = 2 high performing, n = 2 low performing) and affiliated SNFs (n = 5) with 148 hours of observations.

MEASURES

Central themes related to how contextual factors influence variations in high- and low-performing hospitals.

RESULTS

We identified 3 main contextual factors that differed across high- and low-performing hospitals and SNFs: team dynamics, patient characteristics, and organizational context. First, we observed high-quality communication, situational awareness, and shared mental models among team members in high-performing sites. Second, the types of patients cared for at high-performing hospitals had better insurance coverage that made it feasible for clinicians to place patients based on their needs instead of financial abilities. Third, at high-performing hospitals a more engaged staff in the transition process and building rapport with SNFs characterized smooth transitions from hospitals to SNFs.

CONCLUSIONS AND IMPLICATIONS

Contextual factors distinguish high- and low-performing hospitals in transitions to SNF and can be used to develop interventions to reduce adverse outcomes in transitions.

Training registered nurses to conduct pre-implementation assessment to inform program scale-up: an example from the rural Transitions Nurse Program

OBJECTIVES

Adapting evidence-based practices to local settings is critical for successful implementation and dissemination. A pre-implementation assessment evaluates local context to inform implementation, but there is little published guidance for clinician-implementers. The rural Transitions Nurse Program (TNP) is a care coordination intervention that facilitates care transitions for rural veterans. In year 1 of TNP, pre-implementation assessments were conducted by a centralized project team through multi-day visits at five sites nationwide. In year 2, we tested if local site TNP nurses could conduct pre-implementation assessments using evidence-based tools and coaching from the TNP team. This required developing a multicomponent pre-implementation strategy bundle to guide data collection and synthesis. We hypothesized that (1) nurses would find the pre-implementation assessment useful for tailoring TNP to local contexts and (2) nurses would identify similar barriers and facilitators to those identified at first year sites.

METHODS

The bundle included guides for conducting key informant interviews, brainwriting, process mapping, and reflective journaling. We evaluated TNP nurse satisfaction and perceived utility of the structure and process of the training and bundle through pre-post surveys. To assess the outcome of data collection efforts, we interviewed nurses 4 months after completion of the pre-implementation assessment to determine if and how they used pre-implementation findings to tailor implementation of TNP to local contexts. To further assess outcomes, all data that the nurses collected were analyzed thematically. Themes related to barriers and facilitators were compared across years.

FINDINGS

Five nurses at different VA medical centers used the pre-implementation strategy bundle to collect site-level data and completed pre-post surveys. Findings indicated that the pre-implementation assessment was highly recommended, and the bundle provided adequate training. Nurses felt that pre-implementation work oriented them to the local context and illustrated how to integrate TNP into existing processes. Barriers and facilitators identified by nurses were similar to those collected in year 1 by the TNP research team, including communication challenges, need for buy-in, and logistical concerns.

CONCLUSIONS

This proof-of-concept study suggests that evidence-based tools can effectively guide clinician-implementers through the process of conducting a pre-implementation assessment. This approach positively informed TNP implementation and oriented nurses to their local context prior to implementation.

Trends in Use of Low-Value Care in Traditional Fee-for-Service Medicare and Medicare Advantage

IMPORTANCE

Decreasing use of low-value care is a major goal for Medicare given the potential to decrease costs and harms. Compared with traditional fee-for-service Medicare (TM), Medicare Advantage (MA) is more strongly financially incentivized to decrease use of low-value care.

OBJECTIVES

To compare use of low-value care among individuals enrolled in TM and those enrolled in MA overall and to examine trends in use of low-value care in both programs from 2006 to 2015.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study analyzed individuals enrolled in TM and MA using data from the 2006 to 2015 Medical Expenditure Panel Survey. To account for differences in characteristics between individuals enrolled in TM and those enrolled in MA, a propensity score-based approach was used. Data were analyzed from August 2020 through January 2021.

EXPOSURES

Being enrolled in MA or TM.

MAIN OUTCOMES AND MEASURES

Binary measures of use were collected for 13 low-value services in 4 categories (ie, [1] cancer screening: cervical, colorectal, and prostate cancer screening in older adults; [2] antibiotic use: antibiotic for acute upper respiratory infection and antibiotic for influenza; [3] medication: anxiolytic, sedative, or hypnotic in an adult older than 65 years; benzodiazepine for depression; opioid for headache; opioid for back pain; and nonsteroidal anti-inflammatory drug [NSAID] for hypertension, heart failure, or chronic kidney disease; and [4] imaging: magnetic resonance imaging [MRI] or computed tomography [CT] for back pain, radiograph for back pain, and MRI or CT for headache) and 4 low-value composites corresponding to the categories (ie, cancer screening composite, antibiotic use composite, medication composite, and imaging composite).

RESULTS

Among 11 677 individuals enrolled in TM and 5164 individuals enrolled in MA, 9429 (56.0%) were women and the mean (SD) age was 74.5 (6.3) years. Of 13 low-value services and 4 low-value composites, statistically significant differences were found in 2 measures. For the low-value medication composite, 2054 of 11 636 eligible individuals enrolled in TM (adjusted mean, 17.6%; 95% CI, 16.8%-18.3%) received the care, and 981 of 5141 eligible individuals enrolled in MA (adjusted mean, 19.7%; 95% CI, 18.3%-21.2%) received the care, for a rate of use that was significantly higher among individuals enrolled in MA, by 2.2 percentage points (95% CI, 0.5-3.8 percentage points; P = .02). For the NSAID use for hypertension, heart failure, or kidney disease metric, 807 of 7832 individuals enrolled in TM (adjusted mean, 10.0%; 95% CI, 9.2%-10.8%) received the care, and 447 of 3566 individuals enrolled in MA (adjusted mean, 12.9%; 95% CI, 19.7%-27.1%) received the care, for a rate of use that was significantly higher among individuals enrolled in MA, by 2.9 percentage points (95% CI, 1.3-4.6 percentage points; P = .001). Overall, there were no decreases in use of low-value care in TM or MA over time.

CONCLUSIONS AND RELEVANCE

This cross-sectional study found that use of low-value care was similarly prevalent in MA and TM, suggesting that MA enrollment was not associated with decreased provision of low-value care compared with TM.

Telehealth Benefits Offered by Medicare Advantage Plans in 2020

OBJECTIVE

The objective of this study was to analyze new telehealth benefits offered by Medicare Advantage (MA) plans in 2020 and examine plan characteristics associated with the provision of the new telehealth benefits.

RESEARCH DESIGN

Using publicly available data from the Centers for Medicare and Medicaid Services, we identified unique MA plans with at least 1 enrollee in January 2020. We examined whether plans offered any new telehealth benefits in 2020, the 20 most common types of telehealth services covered, and cost-sharing. Next, we used multivariable logistic regression to identify associations between offering any telehealth benefits and plan characteristics. We conducted a similar analysis for each of the 3 most commonly covered telehealth services.

RESULTS

Of 2992 unique MA plans, 58.1% offered new telehealth benefits in 2020. The most frequently covered services were primary care, mental health, and urgent care. Coverage for other types of services was limited. Our multivariable logistic regression showed that offering any new telehealth benefits was not more common among plans in rural areas, but was more likely among national plans, those with a monthly premium, those with >3540 enrollees, and those with a star rating of 4.0-4.5. The new telehealth benefits were less likely to be provided by for-profit plans. Overall, findings remained similar when analyzed according to the type of services.

CONCLUSIONS

MA plans are embracing new telehealth benefits, but there is room for improvement. Policymakers should consider how to accelerate the adoption curve of telehealth in MA plans.

Association of Discharge to Home vs Institutional Postacute Care With Outcomes After Lower Extremity Joint Replacement

IMPORTANCE

Changes in financial incentives have led to more patients being discharged home than to institutional forms of postacute care, such as skilled nursing facilities (SNFs), after elective lower extremity total joint replacement (LEJR).

OBJECTIVE

To evaluate the association of this change with hospital readmissions, surgical complications, and mortality.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used cross-temporal propensity-matching to identify 104 828 adult patients who were discharged home following LEJR between 2016 and 2018 (after changes in financial incentives) and 84 121 adult patients discharged to institutional forms of postacute care (eg, SNFs) between 2011 and 2013 (before changes in financial incentives). A difference-in-differences design was used to compare differences in outcomes between these groups to a propensity-matched group of patients discharged to institutional postacute care in both periods. Data were collected from Pennsylvania all-payer claims database, which includes all surgical procedures and hospitalizations across payers and hospitals in Pennsylvania. Data were analyzed between August 2019 and February 2020.

EXPOSURES

Type of postacute care (home, including home with home health vs institutional postacute care, including SNF, inpatient rehabilitation facilities, and long-term acute care hospitals).

MAIN OUTCOMES AND MEASURES

Main outcomes were 30- and 90-day hospital readmissions, LEJR complication rates, and mortality rates.

RESULTS

Of 189 949 patients, 113 981 (60.0%) were women, and 83 444 (43.9%) were aged 40 to 64 years. The rate of discharge home increased from 63.6% (54 097 of 85 121) in 2011 to 2013 to 78.4% (82 199 of 104 828) in 2016 to 2018. In the adjusted difference-in-differences comparison, matched patients discharged home in 2016 to 2018 had significantly lower 30-day (difference, -2.9%; 95% CI, -4.2% to -1.6%) and 90-day (difference, -3.9%; 95% CI, -5.8% to -2.0%) readmission rates compared with similar patients sent to institutional postacute care in 2011 to 2013. Surgical complication and mortality rates were unchanged. Results were similar across payers and across hospital bundled payment participation status.

CONCLUSIONS AND RELEVANCE

In this cohort study, increases in discharges home following LEJR surgery did not seem to be associated with increased harm during a period in which changes in financial incentives likely spurred observed changes in postacute care.

Differences in transitional care processes among high-performing and low-performing hospital-SNF pairs: a rapid ethnographic approach

BACKGROUND

Despite the increased focus on improving patient's postacute care outcomes, best practices for reducing readmissions from skilled nursing facilities (SNFs) are unclear. The objective of this study was to observe processes used to prepare patients for postacute care in SNFs, and to explore differences between hospital-SNF pairs with high or low 30-day readmission rates.

DESIGN

We used a rapid ethnographic approach with intensive multiday observations and key informant interviews at high-performing and low-performing hospitals, and their most commonly used SNF. We used flow maps and thematic analysis to describe the process of hospitals discharging patients to SNFs and to identify differences in subprocesses used by high-performing and low-performing hospitals.

SETTING AND PARTICIPANTS

Hospitals were classified as high or low performers based on their 30-day readmission rates from SNFs. The final sample included 148 hours of observations with 30 clinicians across four hospitals (n=2 high performing, n=2 low performing) and corresponding SNFs (n=5).

FINDINGS

We identified variation in five major processes prior to SNF discharge that could affect care transitions: recognising need for postacute care, deciding level of care, selecting an SNF, negotiating patient fit and coordinating care with SNF. During each stage, high-performing sites differed from low-performing sites by focusing on: (1) earlier, ongoing, systematic identification of high-risk patients; (2) discussing the decision to go to an SNF as an iterative team-based process and (3) anticipating barriers with knowledge of transitional and SNF care processes.

CONCLUSION

Identifying variations in processes used to prepare patients for SNF provides critical insight into the best practices for transitioning patients to SNFs and areas to target for improving care of high-risk patients.

Systems Approach Is Needed for In-Hospital Mobility: A Qualitative Metasynthesis of Patient and Clinician Perspectives

OBJECTIVE

To describe how different key stakeholders (ie, interprofessional clinical care team and patients) perceive their role in promoting in-hospital mobility by systematically synthesizing qualitative literature.

DATA SOURCES

PubMed, Ovid MEDLINE, Ovid PsychInfo, and Cumulative Index to Nursing and Allied Health were searched using terms relevant to mobility, hospitalization, and qualitative research. A total of 510 unique articles were retrieved and screened for eligibility.

STUDY SELECTION

Eligible qualitative studies included stakeholder perspectives on in-hospital mobility, including patients, nursing staff, rehabilitation staff, and physicians. Eleven articles remained after inclusion/exclusion criteria were applied.

DATA EXTRACTION

At least 2 authors independently read, coded, and derived themes from each study. We used a team-based inductive approach to thematic synthesis informed by critical realism and the socioecological model. Reciprocal translation unified convergent and divergent constructs across primary studies. Investigator triangulation enhanced interpretation.

DATA SYNTHESIS

Three primary themes emerged: (1) patient, family, and clinician expectations shape roles in in-hospital mobility; (2) stakeholders' role in mobility depends on hospital environment, infrastructure, culture, and resources; and (3) teamwork creates successful in-hospital mobility, but lack of coordination and cooperation leads to delay in mobilizing. Studies suggested that while mobility is an essential construct in the professional role of clinicians and in the personal identity of patients, the ability of stakeholders to realize their role in mobility is highly dependent on the hospital physical and cultural environment, administrative support, clarity in professional roles, and teamwork.

CONCLUSIONS

Interventions designed to address the problem of low hospital mobility should take a systems approach and consider allocation of resources, clarity around professional responsibilities, and elevation of patient and clinician expectations surrounding mobility.

Association of Medicare Advantage Penetration With Per Capita Spending, Emergency Department Visits, and Readmission Rates Among Fee-for-Service Medicare Beneficiaries With High Comorbidity Burden

Rapid growth of Medicare Advantage (MA) plans has the potential to change clinical practice for both MA and fee-for-service (FFS) beneficiaries, particularly for high-need, high-cost beneficiaries with multiple chronic conditions or a costly single condition. We assessed whether MA growth from 2010 to 2017 spilled over to county-level per capita spending, emergency department visits, and readmission rates among FFS beneficiaries, and how much this varied by the comorbidity burden of the beneficiary. We also examined whether the association between MA growth and per capita spending in FFS varied in beneficiaries with specific chronic conditions. MA growth was associated with decreased FFS spending and emergency department visits only among beneficiaries with six or more chronic conditions. MA growth was associated with decreased FFS spending among beneficiaries with 11 of the 20 chronic conditions. This suggests that MA growth may drive improvements in efficiency of health care delivery for high-need, high-cost beneficiaries.

Using the Practical, Robust Implementation and Sustainability Model (PRISM) to qualitatively assess multilevel contextual factors to help plan, implement, evaluate, and disseminate health services programs

There is consensus in dissemination and implementation (D&I) science that addressing contextual factors is critically important for understanding translation of health care delivery interventions but little agreement on which contextual factors are key determinants of implementation outcomes. We describe the application of the Practical Robust Implementation and Sustainability Model (PRISM), which expands the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework to identify contextual factors across four diverse programs. Multiple qualitative methods were used to collect multilevel, multistakeholder perspectives from the adopting organizations and staff. We identified measures for evaluating context through the various domains of PRISM to guide health services research across the phases of program implementation. The PRISM domains of Recipients, Implementation and Sustainability Infrastructure, and External Environment identified important multilevel contextual factors, including variability in operational processes and available resources. These domains helped to facilitate planning and implementation phases of the four interventions and guide purposeful adaptations. We found assessments of PRISM domains useful to systematically assess multilevel contextual factors across various content areas as well as phases of program implementation. Additionally, these contextual factors were found to be relevant to RE-AIM outcomes. Lessons learned can be applied to future research as there is a need to investigate the measurement properties of PRISM and continue to test which contextual factors are most important to successful implementation and for which outcomes.

Involvement of Acute Care Physical Therapists in Care Transitions for Older Adults Following Acute Hospitalization: A Cross-sectional National Survey

BACKGROUND AND PURPOSE

Recent evidence has suggested physical therapist involvement in care transitions after hospitalization is associated with reduced rates of hospital readmissions. However, little is known about how physical therapists participate in care transitions for older adults, the content of care communications, and the facilitators and barriers of implementing evidence-based care transition strategies into practice. Thus, the purpose of this article is to evaluate participation in care transition activities known to influence readmission risk among older adults, and understand perceptions of and barriers to participation in these activities.

METHODS

We developed a survey questionnaire to quantify hospital-based physical therapist participation in care transitions and validated it using cognitive interviewing. It was introduced to a cross-sectional national sample of physical therapists who participate in the Academy of Acute Care Physical Therapy electronic discussion board using a SurveyMonkey tool.

RESULTS AND DISCUSSION

More than 90% of respondents agreed they routinely recommended a discharge location and provided recommendations for durable medical equipment for patients at the time of hospital discharge. Respondents did not routinely initiate communication with therapists in other care settings, or follow up with patients to determine whether recommendations were followed. A majority of respondents agreed their facilities would not consider many key care transition activities to count as productive time.This survey provides a novel insight into how hospital-based physical therapists participate in care transitions. Communications between rehabilitation providers across care settings are infrequent, even though those communications are recommended to help reduce readmissions. However, administrative barriers were elucidated in this study that may help explain lack of therapist involvement.

CONCLUSIONS

Physical therapists' communications across health care setting about older adults discharging from acute care hospitalization are infrequent, but may represent a meaningful intervention target for future studies. Future research is needed to evaluate best practices for hospital-based physical therapists during care transitions.

Perspectives of Clinicians, Staff, and Veterans in Transitioning Veterans from non-VA Hospitals to Primary Care in a Single VA Healthcare System

BACKGROUND

Veterans with healthcare needs utilize both Veterans Health Administration (VA) and non-VA hospitals. These dual-use veterans are at high risk of adverse outcomes due to the lack of coordination for safe transitions.

OBJECTIVES

The aim of this study was to understand the barriers and facilitators to providing high-quality continuum of care for veterans transitioning from non-VA hospitals to the VA primary care setting.

DESIGN

Guided by the practical robust implementation and sustainability model (PRISM) and the ideal transitions of care, we conducted a qualitative assessment using semi-structured interviews with clinicians, staff, and patients.

SETTING

This study was conducted at a single urban VA medical center and two non-VA hospitals.

PARTICIPANTS

A total of 70 participants, including 52 clinicians and staff (23 VA and 29 non-VA) involved in patient transition and 18 veterans recently discharged from non-VA hospitals, were included in this study.

APPROACH

Data were analyzed using a conventional content analysis and managed in Atlas.ti (Berlin, Germany).

RESULTS

Four major themes emerged where participants consistently discussed that transitions were delayed when they were not able to (1) identify patients as veterans and notify VA primary care of discharge, (2) transfer non-VA hospital medical records to VA primary care, (3) obtain follow-up care appointments with VA primary care, and (4) write VA formulary medications for veterans that they could fill at VA pharmacies. Participants also discussed factors involved in smooth transition and recommendations to improve care coordination.

CONCLUSIONS

All participants perceived the current transition-of-care process across healthcare systems to be inefficient. Efforts to improve quality and safety in transitional care should address the challenges clinicians and patients experience when transitioning from non-VA hospitals to VA primary care.

Social and Health-Related Factors Associated with Enrollment in Medicare Advantage Plans in Older Adults

OBJECTIVES

We assessed the characteristics of older Mexican American enrollees in traditional fee-for-service (FFS) and Medicare Advantage (MA) plans and the factors associated with disenrollment from FFS and enrollment in MA plans.

DESIGN

Longitudinal study linked with Medicare claims data.

SETTING

The Hispanic Established Populations for the Epidemiologic Study of the Elderly.

PARTICIPANTS

Community-dwelling Mexican American older adults (N = 1455).

MEASUREMENTS

We examined insurance status using the Medicare Beneficiary Summary File and estimated the association of sociodemographic and clinical factors with insurance plan switching.

RESULTS

Among Mexican American older adults, FFS enrollees were more likely to be born in Mexico, speak Spanish, have lower levels of education, and have more disability than MA enrollees. Older adults with a larger number of limitations of instrumental activities of daily living (odds ratio [OR] = .50; 95% confidence interval [CI] = .26-.98) and more social support (OR = .70; 95% CI = .45-.98) were less likely to switch from FFS to MA compared with older adults with no limitations and less social support. Additionally, older adults living in counties with a greater number of MA plans were more likely to switch from FFS to MA (OR = 2.1; 95% CI = 1.45-3.16), compared with counties with a lower number of MA plans. In counties with a higher number of MA plans, older adults with more social support had lower odds of switching from FFS to MA (OR = .48; 95% CI = .28-.82) compared with older adults with less social support.

CONCLUSION

Compared with those enrolled in MA, older Mexican American adults enrolled in Medicare FFS are more socioeconomically disadvantaged and more likely to demonstrate poor health status. Stronger social support and increased physical limitations were strongly associated with less frequent switching from FFS to MA plans. Additionally, increased availability of MA plans at the county level is a significant driver of enrollment in MA plans. J Am Geriatr Soc 68:313-320, 2020.

The drug adaptaquin blocks ATF4/CHOP-dependent pro-death Trib3 induction and protects in cellular and mouse models of Parkinson's disease

Identifying disease-causing pathways and drugs that target them in Parkinson’s disease (PD) has remained challenging. We uncovered a PD-relevant pathway in which the stress-regulated heterodimeric transcription complex CHOP/ATF4 induces the neuron prodeath protein Trib3 that in turn depletes the neuronal survival protein Parkin. Here we sought to determine whether the drug adaptaquin, which inhibits ATF4-dependent transcription, could suppress Trib3 induction and neuronal death in cellular and animal models of PD. Neuronal PC12 cells and ventral midbrain dopaminergic neurons were assessed in vitro for survival, transcription factor levels and Trib3 or Parkin expression after exposure to 6-hydroxydopamine or 1-methyl-4-phenylpyridinium with or without adaptaquin co-treatment. 6-hydroxydopamine injection into the medial forebrain bundle was used to examine the effects of systemic adaptaquin on signaling, substantia nigra dopaminergic neuron survival and striatal projections as well as motor behavior. In both culture and animal models, adaptaquin suppressed elevation of ATF4 and/or CHOP and induction of Trib3 in response to 1-methyl-4-phenylpyridinium and/or 6-hydroxydopamine. In culture, adaptaquin preserved Parkin levels, provided neuroprotection and preserved morphology. In the mouse model, adaptaquin treatment enhanced survival of dopaminergic neurons and substantially protected their striatal projections. It also significantly enhanced retention of nigrostriatal function. These findings define a novel pharmacological approach involving the drug adaptaquin, a selective modulator of hypoxic adaptation, for suppressing Parkin loss and neurodegeneration in toxin models of PD. As adaptaquin possesses an oxyquinoline backbone with known safety in humans, these findings provide a firm rationale for advancing it towards clinical evaluation in PD.

Cognitive Biases Influence Decision-Making Regarding Postacute Care in a Skilled Nursing Facility

BACKGROUND

Decisions about postacute care are increasingly important as the United States population ages, its use becomes increasingly common, and payment reforms target postacute care. However, little is known about how to improve these decisions.

OBJECTIVE

To understand whether cognitive biases play an important role in patient and clinician decision-making regarding postacute care in skilled nursing facilities (SNFs) and identify the most impactful biases.

DESIGN

Secondary analysis of 105 semistructured interviews with patients, caregivers, and clinicians.

SETTING

Three hospitals and three SNFs in a single metropolitan area.

PATIENTS

Adults over age 65 discharged to SNFs after hospitalization as well as patients, caregivers, and multidisciplinary frontline clinicians in both hospital and SNF settings.

MEASUREMENTS

We identified potential cognitive biases from prior systematic and narrative reviews and conducted a team-based framework analysis of interview transcripts to identify potential biases.

RESULTS

Authority bias/halo effect and framing bias were the most prevalent and seemed the most impactful, while default/status quo bias and anchoring bias were also present in decision-making about SNFs.

CONCLUSIONS

Cognitive biases play an important role in decision-making about postacute care in SNFs. The combination of authority bias/halo effect and framing bias may synergistically increase the likelihood of patients accepting SNFs for postacute care. As postacute care undergoes a transformation spurred by payment reforms, it is increasingly important to ensure that patients understand their choices at hospital discharge and can make high-quality decisions consistent with their goals.

Improving end-of-rotation transitions of care among ICU patients

BACKGROUND

Hospitalised patients whose inpatient teams rotate off service experience increased mortality related to end-of-rotation care transitions, yet standardised handoff practices are lacking.

OBJECTIVE

Develop and implement a multidisciplinary patient-centred handoff intervention to improve outcomes for patients who are critically ill during end-of-rotation transitions.

DESIGN, SETTING AND PARTICIPANTS

Single-centre, controlled pilot study of medical intensive care unit (ICU) patients whose resident team was undergoing end-of-rotation transition at a university hospital from June 2017 to February 2018.

INTERVENTION

A 4-item intervention was implemented over two study periods. Intervention 1 included: (1) in-person bedside handoff between teams rotating off and on service, (2) handoff checklist, (3) nursing involvement in handoff, and (4) 30 min education session. Intervention 2 included the additional option to conduct bedside handoff via videoconferencing.

MAIN OUTCOME MEASURES

Implementation was measured by repeated clinician surveys and direct observation. Patient outcomes included length of stay (LOS; ICU and hospital) and mortality (ICU, hospital and 30 days). Clinician perceptions were modelled over time using per cent positive responses in logistic regression. Patient outcomes were compared with matched control 'transition' patients from 1 year prior to implementation of the intervention.

RESULTS

Among 270 transition patients, 46.3% were female with a mean age of 55.9 years. Mechanical ventilation (64.1%) and in-hospital death (27.6%) rates were prevalent. Despite high implementation rates-handoff participation (93.8%), checklist utilisation (75.0%), videoconferencing (62.5%), nursing involvement (75.0%)-the intervention did not significantly improve LOS or mortality. Multidisciplinary survey data revealed significant improvement in acceptability by nursing staff, while satisfaction significantly declined for resident physicians.

CONCLUSIONS

In this controlled pilot study, a structured ICU end-of-rotation care transition strategy was feasible to implement with high fidelity. While mortality and LOS were not affected in a pilot study with limited power, the pragmatic strategy of this intervention holds promise for future trials.

Identifying Patient Readmissions: Are Our Data Sources Misleading?

BACKGROUND

The accuracy of data is vital to identifying hospitalization outcomes for clinical trials. Patient attrition and recall bias affects the validity of patient-reported outcomes, and the growing prevalence of Medicare Advantage (MA) could mean Fee-for-Service (FFS) claims are less reliable for ascertaining hospital utilization. Statewide health information exchanges (HIEs) may be a more complete data source but have not been frequently used for research.

DESIGN

Secondary analysis comparing identification of readmissions using 3 different acquisition approaches.

SETTING

Randomized controlled trial of heart failure (HF) disease management in 37 skilled nursing facilities (SNFs).

PARTICIPANTS

Patients with HF discharged from the hospital to SNF.

MEASURES

Readmissions up to 60 days post-SNF admission collected by patient self-report, recorded by nursing home (NH) staff during the SNF stay, or recorded in the state HIE.

RESULTS

Among 657 participants (mean age 79 ± 10 years, 49% with FFS), 295 unique readmissions within 60 days of SNF admission were identified. These readmissions occurred among 221 patients. Twenty percent of all readmissions were found using only patient self-report, 28% were only recorded by NH staff during the SNF stay, and 52% were identified only using the HIE. The readmission rate (first readmission only) based only on patient self-report and direct observation was 18% rather than 34% with the addition of the enhanced HIE method.

CONCLUSIONS AND IMPLICATIONS

More than one-quarter (34%) of HF patients were rehospitalized within 60 days post SNF admission. Use of a statewide HIE resulted in identifying an additional 153 admissions, 52% of all the readmissions seen in this study. Without use of an HIE, nearly half of readmissions would have been missed as a result of incomplete patient self-report or loss to follow-up. Thus, HIEs serve as an important resource for researchers to ensure accurate outcomes data.