A Cross-Sectional Study of Nurse Turnover in Residential Care Communities.

We examine what facility characteristics are associated with nurse turnover in residential care communities (RCCs). This is a cross-sectional study using the 2018 National Study of Long-term Care Provider Public Use File. There were 3331 RCCs (unweighted n = 272) represented when examining registered nurse (RN) turnover and when examining aide turnover there was a weighted sample of 13,676 RCCs (unweighted n = 68). RN turnover was 72% (95% confidence interval (CI) 59%, 84%), 52% reported 100% turnover. Aide turnover was 48% (95% CI 43%, 53%); 11% reported 100% turnover. We examined ownership and facility type, job design, economic, and working environment factors related to turnover. Using multivariate linear regression, non-profit RCCs had 25 percentage points lower RN turnover (95% CI: -44.46, -4.31) and 9.7 percentage points lower aide turnover (95% CI: 18.8, -0.6) compared to for-profits. We find larger RCCs had lower aide turnover.

Association of Pay-for-Performance Reimbursement With Clinical Quality for Minnesota Nursing Homes Residents.

In 2016, Minnesota implemented a new pay-for-performance reimbursement scheme for Medicaid residents in nursing homes, known as Value-Based Reimbursement (VBR). This study seeks to understand whether there is an association between VBR and quality improvement. We use data from 2013 to 2019 including Centers for Medicare and Medicaid Services, Nursing Home Compare, and Long-term care Facts in the US. Using multivariate regression with commuting zone fixed effects, we compare five long-stay and two short-stay clinical quality metrics in Minnesota nursing homes to nursing homes bordering states, before and after VBR was implemented. We find minimal significant changes in quality in Minnesota nursing homes after VBR. Minnesota should reconsider its pay-for-performance efforts.

Impact of higher payments for rural home health episodes on rehospitalizations.

PURPOSE: Home health agencies delivering care in rural counties face unique challenges when providing care to older adults; long travel times between each visit can limit the number of patients seen each day. In 2010, Medicare began paying home health (HH) providers 3% more to serve rural beneficiaries without evaluating the policy's impact on patient outcomes. METHODS: Using 100% Medicare data on postacute HH episodes from 2007 to 2014, we estimated the impact of higher payments on beneficiaries outcomes using difference-in-differences analysis, comparing rehospitalizations between rural and urban postacute HH episodes before and after 2010. FINDINGS: Our sample included 5.6 million postacute HH episodes (18% rural). In the preperiod, the 30- and 60-day rehospitalization rates for urban HH episodes were 11.30% and 18.23% compared to 11.38% and 18.39% for rural HH episodes. After 2010, 30- and 60-day rehospitalization rates declined, 10.08% and 16.49% for urban HH episodes and 9.87% and 16.08% for rural HH episodes, respectively. The difference-in-difference estimate was 0.29 percentage points (P = .005) and 0.57 percentage points (P < .001) for 30- and 60-day rehospitalization, respectively. CONCLUSIONS: Increasing payments resulted in a statistically significant reduction in rehospitalizations for rural postacute HH episodes. The add-on payment is set to sunset in 2022 and its impact on access and quality to HH for rural older adults should be reconsidered.

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

BACKGROUND: The purpose of the study is to evaluate the effect of an Advance Care Planning (ACP) Video Program on documented Do-Not-Hospitalize (DNH) orders among nursing home (NH) residents with advanced illness. METHODS: Secondary analysis on a subset of NHs enrolled in a cluster-randomized controlled trial (41 NHs in treatment arm implemented the ACP Video Program: 69 NHs in control arm employed usual ACP practices). Participants included long (> 100 days) and short (≤ 100 days) stay residents with advanced illness (advanced dementia or cardiopulmonary disease (chronic obstructive pulmonary disease or congestive heart failure)) in NHs from March 1, 2016 to May 31, 2018 without a documented Do-Not-Hospitalize (DNH) order at baseline. Logistic regression with covariate adjustments was used to estimate the impact of the resident being in a treatment versus control NH on: the proportion of residents with new DNH orders during follow-up; and the proportion of residents with any hospitalization during follow-up. Clustering at the facility-level was addressed using hierarchical models. RESULTS: The cohort included 6,117 residents with advanced illness (mean age (SD) = 82.8 (8.4) years, 65% female). Among long-stay residents (n = 3,902), 9.3% (SE, 2.2; 95% CI 5.0-13.6) and 4.2% (SE, 1.1; 95% CI 2.1-6.3) acquired a new DNH order in the treatment and control arms, respectively (average marginal effect, (AME) 5.0; SE, 2.4; 95% CI, 0.3-9.8). Among short-stay residents with advanced illness (n = 2,215), 8.0% (SE, 1.6; 95% CI 4.6-11.3) and 3.5% (SE 1.0; 95% CI 1.5-5.5) acquired a new DNH order in the treatment and control arms, respectively (AME 4.4; SE, 2.0; 95% CI, 0.5-8.3). Proportion of residents with any hospitalizations did not differ between arms in either cohort. CONCLUSIONS: Compared to usual care, an ACP Video Program intervention increased documented DNH orders among NH residents with advanced disease but did not significantly reduce hospitalizations. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02612688 .

Association between nursing home staff turnover and infection control citations.

OBJECTIVE: To describe the association between nursing home staff turnover and the presence and scope of infection control citations. DATA SOURCES: Secondary data for all US nursing homes between March 31, 2017, through December 31, 2019 were obtained from Payroll-Based Journal (PBJ), Nursing Home Compare, and Long-Term Care: Facts on Care in the US (LTC Focus). STUDY DESIGN: We estimated the association between nurse turnover and the probability of an infection control citation and the scope of the citation while controlling for nursing home fixed effects. Our turnover measure is the percent of the facility's nursing staff hours that were provided by new staff (less than 60 days of experience in the last 180 days) during the 2 weeks prior to the health inspection. We calculated turnover for all staff together and separately for registered nurses, licensed practical nurses (LPNs), and certified nursing assistants. DATA COLLECTION/EXTRACTION METHODS: We linked nursing homes standard inspection surveys to 650 million shifts from the PBJ data. We excluded any nursing home with incomplete or missing staffing data. Our final analytic sample included 12,550 nursing homes with 30,536 surveys. PRINCIPAL FINDINGS: Staff turnover was associated with an increased likelihood of an infection control citation (average marginal effect [AME] = 0.12 percentage points [pp]; 95% confidence interval [CI]: 0.05, 0.18). LPN (AME = 0.06 pp; 95% CI: 0.01, 0.11) turnover was conditionally associated with an infection control citation. Conditional on having at least an isolated citation for infection control, staff turnover was positively associated with receiving a citation coded as a "pattern" (AME = 0.21 pp; 95% CI: 0.10, 0.32). Conditional of having at least a pattern citation, staff turnover was positively associated with receiving a widespread citation (AME = 0.21 pp; 95% CI: 0.10, 0.32). CONCLUSIONS: Turnover was positively associated with the probability of an infection control citation. Staff turnover should be considered an important factor related to the spread of infections within nursing homes.

Effect of a Video-Assisted Advance Care Planning Intervention on End-of-Life Health Care Transitions Among Long-Stay Nursing Home Residents.

OBJECTIVE: To determine the relationship between an advance care planning (ACP) video intervention, Pragmatic Trial of Video Education in Nursing Homes (PROVEN), and end-of-life health care transitions among long-stay nursing home residents with advanced illness. DESIGN: Pragmatic cluster randomized clinical trial. Five ACP videos were available on tablets or online at intervention facilities. PROVEN champions employed by nursing homes (usually social workers) were directed to offer residents (or their proxies) ≥1 video under certain circumstances. Control facilities employed usual ACP practices. SETTING AND PARTICIPANTS: PROVEN occurred from February 2016 to May 2019 in 360 nursing homes (119 intervention, 241 control) owned by 2 health care systems. This post hoc study of PROVEN data analyzed long-stay residents ≥65 years who died during the trial who had either advanced dementia or cardiopulmonary disease (advanced illness). We required an observation time ≥90 days before death. The analytic sample included 923 and 1925 advanced illness decedents in intervention and control arms; respectively. METHODS: Outcomes included the proportion of residents with 1 or more hospital transfer (ie, hospitalization, emergency department use, or observation stay), multiple (≥3) hospital transfers during the last 90 days of life, and late transitions (ie, hospital transfer during the last 3 days or hospice admission on the last day of life). RESULTS: Hospital transfers in the last 90 days of life among decedents with advanced illness were significantly lower in the intervention vs control arm (proportion difference = -1.7%, 95% CI -3.2%, -0.1%). The proportion of decedents with multiple hospital transfers and late transitions did not differ between the trial arms. CONCLUSIONS AND IMPLICATIONS: Video-assisted ACP was modestly associated with reduced hospital transfers in the last 90 days of life among nursing home residents with advanced illness. The intervention was not significantly associated with late health care transitions and multiple hospital transfers.

Estimates of COVID-19 Cases and Deaths Among Nursing Home Residents Not Reported in Federal Data.

Importance: Federal data underestimate the impact of COVID-19 on US nursing homes because federal reporting guidelines did not require facilities to report case and death data until the week ending May 24, 2020. Objective: To assess the magnitude of unreported cases and deaths in the National Healthcare Safety Network (NHSN) and provide national estimates of cases and deaths adjusted for nonreporting. Design, Setting, and Participants: This is a cross-sectional study comparing COVID-19 cases and deaths reported by US nursing homes to the NHSN with those reported to state departments of health in late May 2020. The sample includes nursing homes from 20 states, with 4598 facilities in 12 states that required facilities to report cases and 7401 facilities in 19 states that required facilities to report deaths. Estimates of nonreporting were extrapolated to infer the national (15 397 facilities) unreported cases and deaths in both May and December 2020. Data were analyzed from December 2020 to May 2021. Exposures: Nursing home ownership (for-profit or not-for-profit), chain affiliation, size, Centers for Medicare & Medicaid Services star rating, and state. Main Outcomes and Measures: The main outcome was the difference between the COVID-19 cases and deaths reported by each facility to their state department of health vs those reported to the NHSN. Results: Among 15 415 US nursing homes, including 4599 with state case data and 7405 with state death data, a mean (SE) of 43.7% (1.4%) of COVID-19 cases and 40.0% (1.1%) of COVID-19 deaths prior to May 24 were not reported in the first NHSN submission in sample states, suggesting that 68 613 cases and 16 623 deaths were omitted nationwide, representing 11.6% of COVID-19 cases and 14.0% of COVID-19 deaths among nursing home residents in 2020. Conclusions and Relevance: These findings suggest that federal NHSN data understated total cases and deaths in nursing homes. Failure to account for this issue may lead to misleading conclusions about the role of different facility characteristics and state or federal policies in explaining COVID outbreaks.

A qualitative assessment of barriers and facilitators associated with addressing social determinants of health among members of a health collaborative in the rural Midwest.

PURPOSE: Rural communities have unique economic and social structures, different disease burdens, and a more patchworked healthcare delivery system compared to urban counterparts. Yet research into addressing social determinants of health has focused on larger, urban, integrated health systems. Our study sought to understand capacities, facilitators, and barriers related to addressing social health needs across a collaborative of independent provider organizations in rural Northeastern Minnesota and Northwestern Wisconsin. METHODS: We conducted qualitative, semi-structured interviews with a purposive sample of 37 key informants from collaborative members including 4 stand-alone critical access hospitals, 3 critical access hospitals affiliated with primary care, 1 multi-clinic system, and 1 integrated regional health system. FINDINGS: Barriers were abundant and occurred at the organizational, community and policy levels. Rural providers described a lack of financial, labor, Internet, and community-based social services resources, a limited capacity to partner with other organizations, and workflows that were less than optimal for addressing SDOH. State Medicaid and other payer policies posed challenges that made it more difficult to use available resources, as did misaligned incentives between partners. While specific payer programs and organizational innovations helped facilitate their work, nothing was systemic. Relationships within the collaborative that allowed sharing of innovations and information were helpful, as was the role leadership played in promoting value-based care. CONCLUSIONS: Policy change is needed to support rural providers in this work. Collaboration among rural health systems should be fostered to develop common protocols, promote value-based care, and offer economies of scale to leverage value-based payment. States can help align incentives and performance metrics across rural health care entities, engage payers in promoting value-based care, and bolster social service capacity.

Comparing Receipt of Prescribed Post-acute Home Health Care Between Medicare Advantage and Traditional Medicare Beneficiaries: an Observational Study.

BACKGROUND: Medicare Advantage (MA) covers more than 1/3rd of all Medicare beneficiaries. MA plans are required to provide the same benefits as Traditional Medicare (TM), but can impose utilization management tools to control costs. OBJECTIVE: To assess differences between TM and MA enrollees in the probability of receiving prescribed post-acute home health (HH) care and to describe MA plan characteristics associated with HH receipt. DESIGN: Retrospective cross-sectional analysis of claims data, HH patient assessment data, and MA plan data from 2011 to 2017. PARTICIPANTS: Medicare beneficiaries aged 66 and older with an incident hospitalization for joint replacement, pneumonia, chronic obstructive pulmonary disease, stroke, urinary tract infection, septicemia, acute renal failure, or congestive heart failure. MAIN MEASURES: Receipt of prescribed HH as indicated by a HH discharge code and corresponding HH patient assessment within 14 days of hospital discharge. KEY RESULTS: There were 2,723,245 beneficiaries prescribed HH at discharge (68% TM, 32% MA). About 75% of TM enrollees and 62% of MA enrollees received prescribed post-acute HH. In adjusted analyses, MA enrollees had an -11.7 percentage point (pp) (95% confidence interval (CI): -16.8, -6.5) lower probability of receiving HH compared with TM enrollees. In adjusted analyses, HMO enrollees in plans with cost sharing (- 8.4 pp; 95% CI: - 14.3, - 2.5), referrals (- 3.7 pp; 95% CI: - 6.1, - 1.2), and pre-authorization (- 5.1 pp; 95% CI: - 8.3, - 2.0) were less likely to receive prescribed HH. In adjusted analyses, PPO enrollees in plans with cost sharing were -7.0 pp (95% CI: - 12.7, - 1.4) less likely to receive HH, but there was no difference for those with referrals (1.1 pp; 95% CI, - 1.5, 3.7) or pre-authorization (1.6 pp; 95% CI: - 0.6, - 3.9). CONCLUSIONS: Among Medicare beneficiaries, MA enrollees were less likely to receive prescribed post-acute HH compared with TM. As enrollment in MA continues to grow, it is important to examine how differences in utilization relate to outcomes.

Secret Shopper Data on Private Prices in the Nursing Home Industry From 2008 to 2010.

Nationwide nursing home private-pay prices at the facility-level have not been available for researchers interested in studying this unique health care market. This study presents a new data source, Caregiverlist, for private-pay prices for private and semiprivate rooms for 12,000 nursing homes nationwide collected between 2008 and 2010. We link these data to publicly available national nursing home-level data sets to examine the relationship between price and nursing home characteristics. We also compare private-pay prices with average private-pay revenues per day for California nursing homes obtained from facilities' financial filings. On average, private-pay prices were $224 per day for private rooms compared with $197 per day for semiprivate rooms. We find that nursing homes that are nonprofit, urban, hospital-based, have a special care unit, chain-owned, and have higher quality ratings have higher prices. We find average revenues per day in California to be moderately correlated with prices reported by Caregiverlist.

Impact of an Advance Care Planning Video Intervention on Care of Short-Stay Nursing Home Patients.

BACKGROUND/OBJECTIVES: To assess whether an advance care planning (ACP) video intervention impacts care among short-stay nursing home (NH) patients. DESIGN: PRagmatic trial of Video Education in Nursing Homes (PROVEN) was a pragmatic cluster randomized clinical trial. SETTING: A total of 360 NHs (N = 119 intervention, N = 241 control) owned by two healthcare systems. PARTICIPANTS: A total of 2,538 and 5,290 short-stay patients with advanced dementia or cardiopulmonary disease (advanced illness) in the intervention and control arms, respectively; 23,302 and 50,815 short-stay patients without advanced illness in the intervention and control arms, respectively. INTERVENTION: Five ACP videos were available on tablets or online. Designated champions at each intervention facility were instructed to offer a video to patients (or proxies) on admission. Control facilities used usual ACP practices. MEASUREMENTS: Follow-up time was at most 100 days for each patient. Outcomes included hospital transfers per 1000 person-days alive and the proportion of patients experiencing more than one hospital transfer, more than one burdensome treatment (tube-feeding, parenteral therapy, invasive mechanical intervention, and intensive care unit admission), and hospice enrollment. Champions recorded whether a video was offered in the patients' electronic medical record. RESULTS: There was no significant reduction in hospital transfers per 1000 person-days alive in the intervention versus control groups with advanced illness (rate (95% confidence interval (CI)), 12.3 (11.6-13.1) vs 13.2 (12.5-13.7); rate difference: -0.8; 95% CI = -1.8-0.2)). There was a nonsignificant reduction in hospital transfers per 1000 person-days alive in the intervention versus control among short-stay patients without advanced illness. Secondary outcomes did not differ between groups among patients with and without advanced illness. Based on champion only reports 14.2% and 15.3% of eligible short-stay patients with and without advanced illness were shown videos, respectively. CONCLUSION: An ACP video program did not significantly reduce hospital transfers, burdensome treatment, or hospice enrollment among short-stay NH patients; however, fidelity to the intervention was low.

Association of Diagnosis Coding With Differences in Risk-Adjusted Short-term Mortality Between Critical Access and Non-Critical Access Hospitals.

Importance: Critical access hospitals (CAHs) provide care to rural communities. Increasing mortality rates have been reported for CAHs relative to non-CAHs. Because Medicare reimburses CAHs at cost, CAHs may report fewer diagnoses than non-CAHs, which may affect risk-adjusted comparisons of outcomes. Objective: To assess serial differences in risk-adjusted mortality rates between CAHs and non-CAHs after accounting for differences in diagnosis coding. Design, Setting, and Participants: Serial cross-sectional study of rural Medicare Fee-for-Service beneficiaries admitted to US CAHs and non-CAHs for pneumonia, heart failure, chronic obstructive pulmonary disease, arrhythmia, urinary tract infection, septicemia, and stroke from 2007 to 2017. The final date of follow-up was December 31, 2017. Exposure: Admission to a CAH vs non-CAH. Main Outcomes and Measures: Discharge diagnosis count including trends from 2010 to 2011 when Medicare expanded the allowable number of billing codes for hospitalizations, and combined in-hospital and 30-day postdischarge mortality adjusted for demographics, primary diagnosis, preexisting conditions, and with vs without further adjustment for Hierarchical Condition Category (HCC) score to understand the contribution of in-hospital secondary diagnoses. Results: There were 4 094 720 hospitalizations (17% CAH) for 2 850 194 unique Medicare beneficiaries (mean [SD] age, 76.3 [11.7] years; 55.5% women). Patients in CAHs were older (median age, 80.1 vs 76.8 years) and more likely to be female (58% vs 55%). In 2010, the adjusted mean discharge diagnosis count was 7.52 for CAHs vs 8.53 for non-CAHs (difference, -0.99 [95% CI, -1.08 to -0.90]; P < .001). In 2011, the CAH vs non-CAH difference in diagnoses coded increased (P < .001 for interaction between CAH and year) to 9.27 vs 12.23 (difference, -2.96 [95% CI, -3.19 to -2.73]; P < .001). Adjusted mortality rates from the model with HCC were 13.52% for CAHs vs 11.44% for non-CAHs (percentage point difference, 2.08 [95% CI, 1.74 to 2.42]; P < .001) in 2007 and increased to 15.97% vs 12.46% (difference, 3.52 [95% CI, 3.09 to 3.94]; P < .001) in 2017 (P < .001 for interaction). Adjusted mortality rates from the model without HCC were not significantly different between CAHs and non-CAHs in all years except 2007 (12.19% vs 11.74%; difference, 0.45 [95% CI, 0.12 to 0.79]; P = .008) and 2010 (12.71% vs 12.28%; difference, 0.42 [95% CI, 0.07 to 0.77]; P = .02). Conclusions and Relevance: For rural Medicare beneficiaries hospitalized from 2007 to 2017, CAHs submitted significantly fewer hospital diagnosis codes than non-CAHs, and short-term mortality rates adjusted for preexisting conditions but not in-hospital comorbidity measures were not significantly different by hospital type in most years. The findings suggest that short-term mortality outcomes at CAHs may not differ from those of non-CAHs after accounting for different coding practices for in-hospital comorbidities.

Advance Care Planning Video Intervention Among Long-Stay Nursing Home Residents: A Pragmatic Cluster Randomized Clinical Trial.

Importance: Standardized, evidenced-based approaches to conducting advance care planning (ACP) in nursing homes are lacking. Objective: To test the effect of an ACP video program on hospital transfers, burdensome treatments, and hospice enrollment among long-stay nursing home residents with and without advanced illness. Design, Setting, and Participants: The Pragmatic Trial of Video Education in Nursing Homes was a pragmatic cluster randomized clinical trial conducted between February 1, 2016, and May 31, 2019, at 360 nursing homes (119 intervention and 241 control) in 32 states owned by 2 for-profit corporations. Participants included 4171 long-stay residents with advanced dementia or cardiopulmonary disease (hereafter referred to as advanced illness) in the intervention group and 8308 long-stay residents with advanced illness in the control group, 5764 long-stay residents without advanced illness in the intervention group, and 11 773 long-stay residents without advanced illness in the control group. Analyses followed the intention-to-treat principle. Interventions: Five 6- to 10-minute ACP videos were made available on tablet computers or online. Designated champions (mostly social workers) in intervention facilities were instructed to offer residents (or their proxies) the opportunity to view a video(s) on admission and every 6 months. Control facilities used usual ACP practices. Main Outcomes and Measures: Twelve-month outcomes were measured for each resident. The primary outcome was hospital transfers per 1000 person-days alive in the advanced illness cohort. Secondary outcomes included the proportion of residents with or without advanced illness experiencing 1 or more hospital transfer, 1 or more burdensome treatment, and hospice enrollment. To monitor fidelity, champions completed reports in the electronic record whenever they offered to show residents a video. Results: The study included 4171 long-stay residents with advanced illness in the intervention group (2970 women [71.2%]; mean [SD] age, 83.6 [9.1] years), and 8308 long-stay residents with advanced illness in the control group (5857 women [70.5%]; mean [SD] age, 83.6 [8.9] years), 5764 long-stay residents without advanced illness in the intervention group (3692 women [64.1%]; mean [SD] age, 81.5 [9.2] years), and 11 773 long-stay residents without advanced illness in the control group (7467 women [63.4%]; mean [SD] age, 81.3 [9.2] years). There was no significant reduction in hospital transfers per 1000 person-days alive in the intervention vs control groups (rate [SE], 3.7 [0.2]; 95% CI, 3.4-4.0 vs 3.9 [0.3]; 95% CI, 3.6-4.1; rate difference [SE], -0.2 [0.3]; 95% CI, -0.5 to 0.2). Secondary outcomes did not significantly differ between trial groups among residents with and without advanced illness. Based on champions' reports, 912 of 4171 residents with advanced illness (21.9%) viewed ACP videos. Facility-level rates of showing ACP videos ranged from 0% (14 of 119 facilities [11.8%]) to more than 40% (22 facilities [18.5%]). Conclusions and Relevance: This study found that an ACP video program was not effective in reducing hospital transfers, decreasing burdensome treatment use, or increasing hospice enrollment among long-stay residents with or without advanced illness. Intervention fidelity was low, highlighting the challenges of implementing new programs in nursing homes. Trial Registration: ClinicalTrials.gov Identifier: NCT02612688.

Characteristics of U.S. Nursing Homes with COVID-19 Cases.

BACKGROUND/OBJECTIVES: The 2019 coronavirus disease (COVID-19) has been documented in a large share of nursing homes throughout the United States, leading to high rates of mortality for residents. To understand how to prevent and mitigate future outbreaks, it is imperative that we understand which nursing homes are more likely to experience COVID-19 cases. Our aim was to examine the characteristics of nursing homes with documented COVID-19 cases in the 30 states reporting the individual facilities affected. DESIGN: We constructed a database of nursing homes with verified COVID-19 cases as of May 11, 2020, via correspondence with and publicly available reports from state departments of health. We linked this information to nursing home characteristics and used regression analysis to examine the association between these characteristics and the likelihood of having a documented COVID-19 case. SETTING: All nursing homes from 30 states that reported COVID-19 cases at the facility-level. PARTICIPANTS: Nursing home residents in states reporting data. MEASUREMENTS: Whether a nursing home had a reported COVID-19 case (yes/no), and conditional on having a case, the number of cases at a nursing home. RESULTS: Of 9,395 nursing homes in our sample, 2,949 (31.4%) had a documented COVID-19 case. Larger facility size, urban location, greater percentage of African American residents, non-chain status, and state were significantly (P < .05) related to the increased probability of having a COVID-19 case. Five-star rating, prior infection violation, Medicaid dependency, and ownership were not significantly related. CONCLUSION: COVID-19 cases in nursing homes are related to facility location and size and not traditional quality metrics such as star rating and prior infection control citations. J Am Geriatr Soc 68:1653-1656, 2020.

Assessment of Rural-Urban Differences in Postacute Care Utilization and Outcomes Among Older US Adults.

Importance: Although people living in rural areas of the United States are disproportionately older and more likely to die of conditions that require postacute care than those living in urban areas, rural-urban differences in postacute care utilization and outcomes have been understudied. Objective: To describe rural-urban differences in postacute care utilization and postdischarge outcomes. Design, Setting, and Participants: This retrospective cohort study used data from Medicare beneficiaries 66 years and older admitted to 4738 US acute care hospitals for stroke, hip fracture, chronic obstructive pulmonary disease, congestive heart failure, or pneumonia between January 1, 2011, and September 30, 2015. Participants were tracked for 180 days after discharge. Data analyses were conducted between October 1, 2018, and May 30, 2019. Exposures: County of residence was classified as urban or rural using the US Department of Agriculture Rural-Urban Continuum Codes. Rural counties were divided into those adjacent and not adjacent to urban counties. Main Outcomes and Measures: Primary outcomes were discharge to community vs a formal postacute care setting (ie, skilled nursing facility, home health care, or inpatient rehabilitation facility) and readmission and mortality within 30, 90, and 180 days of hospital discharge. Results: Among 2 044 231 hospitalizations from 2011 to 2015, 1 538 888 (75.2%; mean [SD] age, 80.4 [8.3] years; 866 540 [56.3%] women) were among patients from urban counties, 322 360 (15.8%; mean [SD] age, 79.6 [8.1] years; 175 806 [54.5%] women) were among patients from urban-adjacent rural counties, and 182 983 (9.0%; mean [SD] age, 79.8 [8.1] years; 98 775 [54.0%] women) were among patients from urban-nonadjacent rural counties. The probability of discharge to community without postacute care did not differ by rurality. However, compared with patients from urban counties, patients from the most rural counties were more frequently discharged to a skilled nursing facility (adjusted difference, 3.5 [95% CI, 2.8-4.3] percentage points), while discharge to an inpatient rehabilitation facility was less common among patients from rural counties than among those from urban counties (urban vs urban-adjacent rural: adjusted difference, -1.9 [95% CI, -2.4 to -1.4] percentage points; urban vs urban-nonadjacent rural: adjusted difference, -1.8 [95% CI, -2.4 to -1.2] percentage points) as was discharge to home health care (urban vs urban-adjacent rural: adjusted difference, -1.7 [95% CI, -2.3 to -1.2] percentage points; urban vs urban-nonadjacent rural: adjusted difference, -2.4 [95% CI, -3.0 to -1.8]). For patients from the most rural counties, adjusted 30-day readmission rates were 0.4 (95% CI, 0.2-0.6) percentage points higher than those of patients from urban counties among those who were discharged to the community but 0.3 (95% CI, -0.6 to -0.1) percentage points lower among patients receiving postacute care. Adjusted 30-day mortality rates were 0.4 (95% CI, 0.3-0.5) percentage points higher for patients from the most rural counties discharged to the community and 2.0 (95% CI, -1.7 to 2.3) percentage points higher among those receiving postacute care. Rural-urban differences in 90-day and 180-day outcomes were similar. Conclusions and Relevance: These findings suggest that rates of discharge to the community and postacute care settings were similar among patients from rural and urban counties. Rural-urban differences in mortality following discharge were much larger for patients receiving postacute care compared with patients discharged to the community setting. Improving postacute care in rural areas may reduce rural-urban disparities in patient outcomes.

Hospital Transfer Rates Among US Nursing Home Residents With Advanced Illness Before and After Initiatives to Reduce Hospitalizations.

Importance: Hospital transfers among nursing home residents in the United States who have been diagnosed with advanced illnesses and have limited life expectancy are often burdensome, costly, and of little clinical benefit. National initiatives, introduced since 2012, have focused on reducing such hospitalizations, but little is known about the consequences of these initiatives in this population. Objective: To investigate the change in hospital transfer rates among nursing home residents with advanced illnesses, such as dementia, congestive heart failure (CHF), and chronic obstructive pulmonary disease (COPD), from 2011 to 2017-before and after the introduction of national initiatives to reduce hospitalizations. Design, Setting, and Participants: In this cross-sectional study, nationwide Minimum Data Set (MDS) assessments from January 1, 2011, to December 31, 2016 (with the follow-up for transfer rates until December 31, 2017), were used to identify annual inception cohorts of long-stay (>100 days) nursing home residents who had recently progressed to the advanced stages of dementia, CHF, or COPD. The data were analyzed from October 24, 2018, to October 3, 2019. Main Outcomes and Measures: The number of hospital transfers (hospitalizations, observation stays, and emergency department visits) per person-year alive was calculated from the MDS assessment from the date when residents first met the criteria for advanced illness up to 12 months afterward using Medicare claims from 2011 to 2017. Transfer rates for all causes, potentially avoidable conditions (sepsis, pneumonia, dehydration, urinary tract infections, CHF, and COPD), and serious bone fractures (pelvis, hip, wrist, ankle, and long bones of arms or legs) were investigated. Hospice enrollment and mortality were also ascertained. Results: The proportions of residents in the 2011 and 2016 cohorts who underwent any hospital transfer were 56.1% and 45.4% of those with advanced dementia, 77.6% and 69.5% of those with CHF, and 76.2% and 67.2% of those with COPD. The mean (SD) number of transfers per person-year alive for potentially avoidable conditions was higher in the 2011 cohort vs 2016 cohort: advanced dementia, 2.4 (14.0) vs 1.6 (11.2) (adjusted risk ratio [aRR], 0.73; 95% CI, 0.65-0.81); CHF, 8.5 (32.0) vs 6.7 (26.8) (aRR, 0.72; 95% CI, 0.65-0.81); and COPD, 7.8 (30.9) vs 5.5 (24.8) (aRR, 0.64; 95% CI, 0.57-0.72). Transfers for bone fractures remained unchanged, and mortality did not increase. Hospice enrollment was low across all illness groups and years (range, 23%-30%). Conclusions and Relevance: The findings of this study suggest that concurrent with new initiatives aimed at reducing hospitalizations, hospital transfers declined between 2011 and 2017 among nursing home residents with advanced illnesses without increased mortality rates. Opportunities remain to further reduce unnecessary hospital transfers in this population and improve goal-directed care for those residents who opt to forgo hospitalization.

Black Nursing Home Residents More Likely to Watch Advance Care Planning Video.

BACKGROUND/OBJECTIVES: This study aims to identify resident characteristics associated with being offered and subsequently shown an advance care planning (ACP) video in the Pragmatic Trial of Video Education in Nursing Homes (PROVEN) and if differences are driven by within- and/or between-facility differences. DESIGN: Cross-sectional study, from March 1, 2016, to May 31, 2018. SETTING: A total of 119 PROVEN intervention nursing homes (NHs). PARTICIPANTS: A total of 43 303 new NH admissions. MEASUREMENTS: Data came from the Minimum Data Set and an electronic record documenting whether a video was offered and shown to residents. We conduct both naïve logistic regression models and hierarchical logistic models, controlling for NH fixed effects, to examine the overall differences in offer and show rate by resident characteristics. RESULTS: In naïve regression models, compared to white residents, black residents are 7.8 percentage point (pp) (95% confidence interval [CI] = -9.1 to -6.5 pp) less likely to be offered the video. These differences decrease to 1.3 pp (95% CI = -2.61 to -0.02 pp) when accounting for NH fixed effects. In fully adjusted models, black residents compared to white residents were 2.1 pp more likely to watch the video contingent on being offered (95% CI = 0.4-3.7 pp). Residents with cognitive impairment were less likely to be offered and shown the video. CONCLUSIONS: After controlling for NH fixed effects, there were smaller racial differences in being offered the video, but once offered, black residents were more likely to watch the video. This suggests that black residents are receptive to this type of ACP intervention but need to be given an opportunity to be exposed. J Am Geriatr Soc 68:603-608, 2020.

Understanding implementation fidelity in a pragmatic randomized clinical trial in the nursing home setting:a mixed-methods examination.

BACKGROUND: The Pragmatic Trial of Video Education in Nursing Homes (PROVEN) is one of the first large pragmatic randomized clinical trials (pRCTs) to be conducted in U.S. nursing homes (N = 119 intervention and N = 241 control across two health-care systems). The trial aims to evaluate the effectiveness of a suite of videos to improve advance care planning (ACP) for nursing home patients. This report uses mixed methods to explore the optimal and suboptimal conditions necessary for implementation fidelity within pRCTs in nursing homes. METHODS: PROVEN's protocol required designated facility champions to offer an ACP video to long-stay patients every 6 months during the 18-month implementation period. Champions completed a video status report, stored within electronic medical records, each time a video was offered. Data from the report were used to derive each facility's adherence rate (i.e., cumulative video offer). Qualitative interviews held after 15 months with champions were purposively sampled from facilities within the highest and lowest adherence rates (i.e., those in the top and bottom quintiles). Two researchers analyzed interview data thematically using a deductive approach based upon six domains of the revised Conceptual Framework for Implementation Fidelity (CFIF). Matrices were developed to compare coded narratives by domain across facility adherence status. RESULTS: In total, 28 interviews involving 33 champions were analyzed. Different patterns were observed across high- versus low-adherence facilities for five CFIF domains. In low-adherence nursing homes, (1) there were limited implementation resources (Context), (2) there was often a perceived negative patient or family responsiveness to the program (Participant Responsiveness), and (3) champions were reticent in offering the videos (Recruitment). In high-adherence nursing homes, (1) there was more perceived patient and family willingness to engage in the program (Participant Responsiveness), (2) champions supplemented the video with ACP conversations (Quality of Delivery), (3) there were strategic approaches to recruitment (Recruitment), and (4) champions appreciated external facilitation (Strategies to Facilitate Implementation). CONCLUSIONS: Critical lessons for implementing pRCTs in nursing homes emerged from this report: (1) flexible fidelity is important (i.e., delivering core elements of an intervention while permitting the adaptation of non-core elements), (2) reciprocal facilitation is vital (i.e., early and ongoing stakeholder engagement in research design and, reciprocally, researchers' and organizational leaders' ongoing support of the implementation), and (3) organizational and champion readiness should be formally assessed early and throughout implementation to facilitate remediation. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02612688. Registered on 19 November 2015.