Preferences for Postacute Care at Home vs Facilities.

Importance: Two in 5 US hospital stays result in rehabilitative postacute care, typically through skilled nursing facilities (SNFs) or home health agencies (HHAs). However, a lack of clear guidelines and understanding of patient and caregiver preferences make it challenging to promote high-value patient-centered care. Objective: To assess preferences and willingness to pay for facility-based vs home-based postacute care among patients and caregivers, considering demographic variations. Design, Setting, and Participants: In September 2022, a nationally representative survey was conducted with participants 45 years or older. Using a discrete choice experiment, participants acting as patients or caregivers chose between facility-based and home-based postacute care that best met their preferences, needs, and family conditions. Survey weights were applied to generate nationally representative estimates. Main Outcomes and Measures: Preferences and willingness to pay for various attributes of postacute care settings were assessed, examining variation based on demographic factors, socioeconomic status, job security, and previous care experiences. Results: A total of 2077 adults were invited to participate in the survey; 1555 (74.9%) completed the survey. In the weighted sample, 52.9% of participants were women, 6.5% were Asian or Pacific Islander, 1.7% were American Indian or Alaska Native, 11.2% were Black or African American, 78.4% were White; the mean (SD) age was 62.6 (9.6) years; and there was a survey completion rate of 74.9%. Patients and caregivers showed a substantial willingness to pay for home-based and high-quality care. Patients and caregivers were willing to pay an additional $58.08 per day (95% CI, 45.32-70.83) and $45.54 per day (95% CI, 31.09-59.99) for HHA care compared with a shared SNF room, respectively. However, increased demands on caregiver time within an HHA scenario and socioeconomic challenges, such as insecure employment, shifted caregivers' preferences toward facility-based care. There was a strong aversion to below average quality. To avoid below average SNF care, patients and caregivers were willing to pay $75.21 per day (95% CI, 61.68-88.75) and $79.10 per day (95% CI, 63.29-94.91) compared with average-quality care, respectively. Additionally, prior awareness and experience with postacute care was associated with willingness to pay for home-based care. No differences in preferences among patients and caregivers based on race, educational background, urban or rural residence, general health status, or housing type were observed. Conclusions and Relevance: The findings of this survey study underscore a prevailing preference for home-based postacute care, aligning with current policy trends. However, attention is warranted for disadvantaged groups who are potentially overlooked during the shift toward home-based care, particularly those facing caregiver constraints and socioeconomic hardships. Ensuring equitable support and improved quality measure tools are crucial for promoting patient-centric postacute care, with emphasis on addressing the needs of marginalized groups.

Post-Acute Care in China: Development, Challenges, and Path Forward.

OBJECTIVES: To evaluate the evolution and challenges of China's post-acute care (PAC) system over the past 20 years and suggest actionable policy recommendations for its improvement. DESIGN: A retrospective review of policies and initiatives aimed at PAC system development, analyzed alongside unsolved challenges in light of global PAC practices, informed by literature reviews and collaborative discussion. SETTING AND PARTICIPANTS: PAC in China involves diverse settings such as general hospitals, inpatient rehabilitation centers, skilled nursing facilities, community health centers, and homes. The patients are mainly those discharged from acute hospitals with functional impairment and in need of continuous care. METHOD: An extensive search of government policy documents, statistical sources, peer-reviewed studies, and the gray literature. The research team conducted literature reviews and discussions regularly to shape the findings. RESULTS: China has strengthened its PAC system through improved rehabilitation and nursing infrastructure, establishment of tiered rehabilitation networks, and adoption of innovative payment methods. However, challenges persist, including a lack of clinical consensus, resource constraints in PAC facilities and among professionals, the need for integrated care coordination, and the unification of PAC assessment tools and payment mechanisms. CONCLUSIONS AND IMPLICATIONS: Although China has made substantial progress in its PAC system over 2 decades, continued efforts are needed to address its lingering challenges. Elevating awareness of PAC's significance and instituting policy adjustments targeting these challenges are essential for the system's optimization.

Examination of Staffing Shortages at US Nursing Homes During the COVID-19 Pandemic.

Importance: Staffing shortages have been widely reported in US nursing homes during the COVID-19 pandemic, but traditional quantitative research analyses have found mixed evidence of staffing shortfalls. Objective: To examine whether nursing home administrator perspectives can provide context for conflicting aggregate staffing reports in US nursing homes during the COVID-19 pandemic. Design, Setting, and Participants: In a qualitative study, convergent mixed-methods analysis integrating qualitative and quantitative data sets was used. Semistructured qualitative interviews were conducted between July 14, 2020, and December 16, 2021. Publicly available national Payroll Based Journal data were retrieved from January 1, 2020, to September 30, 2022, on 40 US nursing homes in 8 health care markets that varied by region and nursing home use patterns. Staffing and resident measures were derived from Payroll Based Journal data and compared with national trends for 15 436 US nursing homes. Nursing home administrators were recruited for interviews. Of the 40 administrators who consented to participate, 4 were lost to follow-up. Exposure: Four repeated, semistructured qualitative interviews with participants were conducted. Interview questions focused on the changes noted during the COVID-19 pandemic in nursing homes. Main Outcomes and Measures: Thematic description of nursing home administrator compensatory strategies to provide context for quantitative analyses on nursing home staffing levels during the COVID-19 pandemic. Results: A total of 156 interviews were completed with 40 nursing home administrators. Administrators reported experiencing staff shortages during the COVID-19 pandemic and using compensatory strategies, such as overtime, cross-training, staff-to-resident ratio adjustments, use of agency staff, and curtailing admissions, to maintain operations and comply with minimum staffing regulations. Payroll Based Journal data measures graphed from January 1, 2020, to September 30, 2022, supported administrator reports showing that study facilities had reductions in staff hours, increased use of agency staff, and decreased resident census. Findings were similar to national trends. Conclusions and Relevance: In this qualitative, convergent mixed-methods study, nursing home administrators reported the major staffing strain they experienced at their facilities and the strategies they used to offset staffing shortages. Their experiences provide context to quantitative analyses on aggregate nursing home census data. The short-term compensatory measures administrators used to comply with regulations and maintain operations may be detrimental to the long-term stability of this workforce.

Increased Medicare Advantage Penetration Is Associated With Lower Postacute Care Use For Traditional Medicare Patients.

Medicare Advantage (MA) plans, which accounted for 45 percent of total Medicare enrollment in 2022, are incentivized to minimize spending on low-value services. Prior research indicates that MA plan enrollment is associated with reduced postacute care use without adverse impacts on patient outcomes. However, it is unclear whether a rising MA enrollment level is associated with a change in postacute care use in traditional Medicare, especially given growing participation in traditional Medicare Alternative Payment Models that have been found to be associated with lower postacute care spending. We hypothesize that market-level MA expansion is associated with reduced postacute care use among traditional Medicare beneficiaries-a "spillover" effect of providers modifying their practice patterns in response to MA plans' incentives. We found increased MA market penetration associated with reduced postacute care use among traditional Medicare beneficiaries, without a corresponding increase in hospital readmissions. This association was generally stronger in markets with a greater share of traditional Medicare beneficiaries attributed to accountable care organizations, suggesting that policy makers should account for MA penetration when evaluating potential savings in Alternative Payment Models within traditional Medicare.

Analysis of the Cost and Case-mix of Post-acute Stroke Patients in China Using Quantile Regression and the Decision-tree Models.

Purpose: Post-acute care is fast developing in China, yet a payment system for post-acute care has not been established. As stroke is the leading cause of mortality and disability in China, patients constitute a large share of post-acute-care patients among all hospitalized patients. This study was to identify the cost determinants and establish a case-mix classification of the post-acute care system for stroke patients in China. Patients and Methods: A total of 5401 post-acute stroke patients in seven hospitals of Jinhua City from January 2018 to December 2020 were selected. Demographic characteristics, medical status, functional measures (eg, the Barthel Index, Mini-Mental State Examination, Gugging Swallowing Screen, Hamilton Depression Scale), and cost data were extracted. Generalized linear model (GLM) and quantile regression (QR) were conducted to determine the predictors of cost, and a case-mix classification model was established using the decision-tree analysis. Results: The GLM regression revealed that gender, tracheostomy, complication or comorbidity (CC), activities of daily living (ADL), and cognitive impairment were the main variables significantly affecting the hospitalization expenses of post-acute stroke patients. The QR model showed that the gender, tracheostomy and CC factors had a more significant impact on per diem costs on the upper quantiles. In contrast, cognitive impairment had a more substantial effect on the lower quantiles, and ADL significantly impacted the central quantile. Using tracheostomy, CC, and ADL as node variables of the regression tree, 12 classes were generated. The case-mix classification performed reliably and robustly, as measured by the reduction in the variation statistic (RIV=0.46) and class-specific coefficients of variation (CV less than 1.0; range: 0.18-0.81). Conclusion: QR has strengths in comprehensively identifying cost predictors across cost groups. Tracheostomy, CC, and ADL significantly can predict the expenses of post-acute care for stroke patients. The established case-mix classification system can inform the future payment policy of post-acute care in China.

Evaluation of a Multilevel Program to Improve Clinician Adherence to Management Guidelines for Acute Ischemic Stroke.

Importance: Promotion of clinician adherence to stroke guidelines can improve stroke outcomes. Objective: To investigate the outcomes of a multilevel system program on clinician adherence to guidelines for treatment of patients with acute ischemic stroke (AIS). Design, Setting, and Participants: This quality improvement study used a prospective interrupted time series (ITS) and difference-in-difference (DID) design, from August 1, 2018, to January 31, 2020, divided into preprogram term and short and long postprogram terms; each term had 6 months. Data were collected during hospitalization and at discharge with an automated medical record data capture system in 58 public hospitals in Zhejiang province, China. Data were analyzed from August 2018 to January 2020. Exposures: The multilevel system program included a modularized standard template for medical records, centrally supported continuing education, continuous monitoring and feedback, and collaborative workshops. Main Outcomes and Measures: The primary outcome was adherence to 12 key performance indicators (KPIs), expressed as (1) percentage of patient-applicable KPIs achieved in each participant and (2) percentage of participants among whom all applicable KPIs were achieved (dichotomous all-or-none measure). The secondary outcome was severe disability or death (modified Rankin Scale 5-6) at discharge. Results: Among 45 091 patients (mean [SD] age, 69 [12] years; 18 347 female [40.7%]), 28 721 from 30 hospitals received the program and 16 370 from 28 hospitals continued routine care. In adjusted DID analysis, the program was associated with an increase in the absolute percentage of KPIs achieved per patient (6.46%; 95% CI, 5.49% to 7.43%), absolute rate of all-or-none success (8.29%; 95% CI, 6.99% to 9.60%), and decreased rate of severe disability or death at discharge (-1.68%; 95% CI, -2.99% to -0.38%). The ITS result showed the program was associated with an increase in KPIs achieved per patient per week (slope change in short-term period, 0.36%; 95% CI, 0.20% to 0.52%; level change in long-term period, (9.64%; 95% CI, 4.58% to 14.69%) and in all-or-none success (slope change in short-term period 0.34%; 95% CI, 0.23% to 0.46%; level change in long-term period 5.89%; 95% CI, 0.19% to 11.59%). Conclusions and Relevance: The centrally supported program was associated with increases in clinician adherence to guidelines and reduced the proportion of severely disabled or deceased patients with AIS at discharge, providing support for its wider implementation.

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.

Evolution of the home health care market: The expansion and quality performance of multi-agency chains.

OBJECTIVE: To examine the growth and evolution of the home health agency (HHA) market and to compare quality performance across HHA ownership categories. DATA SOURCE: Agency characteristics were extracted from Medicare cost reports and Provider of Services file. Quality of care and patient characteristics were extracted from Quality of Patient Care Star Ratings and HHA Public Use File. STUDY DESIGN: Agency- and state-level analyses were conducted to describe HHA market trends. Patient characteristics and quality measures were compared across ownership categories of interest. DATA COLLECTION/EXTRACTION METHODS: All Medicare-certified HHAs in operation, 2005-2018. PRINCIPAL FINDINGS: Over the study period, the HHA sector grew substantially, increasing from 7899 to 10 818 agencies, and chain-owned HHAs doubled in number from 903 (11.4% of all agencies) to 1841 (17.0%). In 2018, across agency types, for-profit nonchain agencies were the largest category both in the number of agencies (67.8%) and the number of Medicare enrollees served (40.7%). Additionally, for-profit nonchain agencies grew most in total number, from 4293 (54.3%) to 7337 (67.8%), while for-profit chain agencies grew most in the number of Medicare enrollees served, from 439 998 (12.9%) to 1 082 385 (28.3%). Regarding patient composition, for-profit nonchain agencies served the highest proportion of dual eligible beneficiaries (42.2%) and African-Americans (27.9%) among all agency types. Regarding quality performance, a higher star rating is significantly (P < .01) associated with chain agency status. Moreover, chain HHAs performed better on self-reported process measures, and risk-adjusted self-reported outcome measures; however, they performed worse on risk-adjusted claims-based outcome measures. These results were similar across for-profit and nonprofit chain agencies. CONCLUSION: Chains play a growing role in the home health sector. Substantial differences in geographic distribution, patient composition, and quality performance were observed between chain- and nonchain HHAs. Examining the growth and performance of multi-agency chains can help inform quality reporting and monitoring, assess payment adequacy, and facilitate greater transparency and accountability within the HHA marketplace.

Daily Nursing Home Staffing Levels Highly Variable, Often Below CMS Expectations.

Staffing is an important quality measure that is included on the federal Nursing Home Compare website. New payroll-based data reveal large daily staffing fluctuations, low weekend staffing, and daily staffing levels often below the expectations of the Centers for Medicare and Medicaid Services (CMS). These data provide a more accurate and complete staffing picture for CMS and consumers.

The cost determinants of routine infant immunization services: a meta-regression analysis of six country studies.

BACKGROUND: Evidence on immunization costs is a critical input for cost-effectiveness analysis and budgeting, and can describe variation in site-level efficiency. The Expanded Program on Immunization Costing and Financing (EPIC) Project represents the largest investigation of immunization delivery costs, collecting empirical data on routine infant immunization in Benin, Ghana, Honduras, Moldova, Uganda, and Zambia. METHODS: We developed a pooled dataset from individual EPIC country studies (316 sites). We regressed log total costs against explanatory variables describing service volume, quality, access, other site characteristics, and income level. We used Bayesian hierarchical regression models to combine data from different countries and account for the multi-stage sample design. We calculated output elasticity as the percentage increase in outputs (service volume) for a 1% increase in inputs (total costs), averaged across the sample in each country, and reported first differences to describe the impact of other predictors. We estimated average and total cost curves for each country as a function of service volume. RESULTS: Across countries, average costs per dose ranged from $2.75 to $13.63. Average costs per child receiving diphtheria, tetanus, and pertussis ranged from $27 to $139. Within countries costs per dose varied widely-on average, sites in the highest quintile were 440% more expensive than those in the lowest quintile. In each country, higher service volume was strongly associated with lower average costs. A doubling of service volume was associated with a 19% (95% interval, 4.0-32) reduction in costs per dose delivered, (range 13% to 32% across countries), and the largest 20% of sites in each country realized costs per dose that were on average 61% lower than those for the smallest 20% of sites, controlling for other factors. Other factors associated with higher costs included hospital status, provision of outreach services, share of effort to management, level of staff training/seniority, distance to vaccine collection, additional days open per week, greater vaccination schedule completion, and per capita gross domestic product. CONCLUSIONS: We identified multiple features of sites and their operating environment that were associated with differences in average unit costs, with service volume being the most influential. These findings can inform efforts to improve the efficiency of service delivery and better understand resource needs.

The health and economic impact of scaling cervical cancer prevention in 50 low- and lower-middle-income countries.

OBJECTIVE: To estimate the health impact, financial costs, and cost-effectiveness of scaling-up coverage of human papillomavirus (HPV) vaccination (young girls) and cervical cancer screening (women of screening age) for women in countries that will likely need donor assistance. METHODS: We used a model-based approach to synthesize population, demographic, and epidemiological data from 50 low- and lower-middle-income countries. Models were used to project the costs (US $), lifetime health impact (cervical cancer cases, deaths averted), and cost-effectiveness (US $ per disability adjusted life year [DALY] averted) of: (1) two-dose HPV-16/18 vaccination of girls aged 10 years; (2) once-in-a-lifetime screening, with treatment when needed, of women aged 35 years with either HPV DNA testing or visual inspection with acetic acid (VIA); and (3) cervical cancer treatment over a 10-year roll-out. RESULTS: We estimated that both HPV vaccination and screening would be very cost-effective, and a comprehensive program could avert 5.2 million cases, 3.7 million deaths, and 22.0 million DALYs over the lifetimes of the intervention cohorts for a total 10-year program cost of US $3.2 billion. CONCLUSION: Investment in HPV vaccination of young girls and cervical cancer screen-and-treat programs in low- and lower-middle-income countries could avert a substantial burden of disease while providing good value for public health dollars.

The cost structure of routine infant immunization services: a systematic analysis of six countries.

Little information exists on the cost structure of routine infant immunization services in low- and middle-income settings. Using a unique dataset of routine infant immunization costs from six countries, we estimated how costs were distributed across budget categories and programmatic activities, and investigated how the cost structure of immunization sites varied by country and site characteristics. The EPIC study collected data on routine infant immunization costs from 319 sites in Benin, Ghana, Honduras, Moldova, Uganda, Zambia, using a standardized approach. For each country, we estimated the economic costs of infant immunization by administrative level, budget category, and programmatic activity from a programme perspective. We used regression models to describe how costs within each category were related to site operating characteristics and efficiency level. Site-level costs (incl. vaccines) represented 77-93% of national routine infant immunization costs. Labour and vaccine costs comprised 14-69% and 13-69% of site-level cost, respectively. The majority of site-level resources were devoted to service provision (facility-based or outreach), comprising 48-78% of site-level costs across the six countries. Based on the regression analyses, sites with the highest service volume had a greater proportion of costs devoted to vaccines, with vaccine costs per dose relatively unaffected by service volume but non-vaccine costs substantially lower with higher service volume. Across all countries, more efficient sites (compared with sites with similar characteristics) had a lower cost share devoted to labour. The cost structure of immunization services varied substantially between countries and across sites within each country, and was related to site characteristics. The substantial variation observed in this sample suggests differences in operating model for otherwise similar sites, and further understanding of these differences could reveal approaches to improve efficiency and performance of immunization sites.