The impact of severe obesity on home health care agency admission: An organizational perspective.

Home health care is a growing treatment option for older adults who wish to remain in their homes and communities. However, the growing number of older adults with severe obesity presents a challenge for home health professionals. This study utilizes survey data from 128 home health care agencies in Arkansas and Pennsylvania to explore home health care agencies' decision-making in admitting patients with severe obesity. The responding agencies indicated that concerns about adequate staffing levels were the primary barriers to entry for severe obesity patients. Existing research on the intersection of obesity and home health care is sparse, and this study adds an organizational perspective to the scant literature on the topic. Additional research on this topic is advised to accommodate the expected growth in home health care utilization and rising obesity rates among older adults.

Geographic variation in Medicare home health expenditures.

OBJECTIVES: To quantify geographic variation in home health expenditures per Medicare home health beneficiary and investigate factors associated with this variation. STUDY DESIGN: Retrospective study design analyzing US counties in which at least 1 home health agency served 11 or more beneficiaries in 2016. Several sources of 2016 national public data were used. METHODS: The key variable is county-level Medicare home health expenditures per home health beneficiary. Counties were grouped into quintiles based on per-beneficiary expenditures. Analyses included calculation of coefficients of variation, computation of the ratio of 90th percentile to 10th percentile in expenditures, and linear regression predicting expenditure. The control variables included characteristics of patients, agencies, and communities. RESULTS: Significant variation in home health expenditures was identified across county quintiles, with a 90th-to-10th-percentile expenditure ratio of 2.5. The percentage of for-profit agencies in the lowest quintile was 15.7 compared with 81.7 in the highest quintile of spending. Unadjusted spending differed by $3864 (95% CI, $3793-$3936), compared with $3611 (95% CI, $3514-$3708) in the adjusted model, between counties in spending quintiles 1 and 5. Although state fixed effects explained nearly 20% of the variation in home health expenditures, 42% of the variation remained unexplained. CONCLUSIONS: Home health care exhibits considerable unwarranted variation in per-patient expenditures across counties, signifying inefficiency and waste. Given the expected growth in home health demand, strategies to reduce unwarranted geographic variation are needed.

How Have Hospitals in the Mississippi Delta Fared Under the 2019 Revised Hospital Readmissions Reduction Program?

In 2013, the Centers for Medicare and Medicaid Services (CMS) implemented the Hospital Readmissions Reduction Program (2013 HRRP), which financially penalized hospitals if their 30-day readmissions were higher than the national average. Without adjusting for socioeconomic status of patients, the 2013 HRRP overly penalized hospitals caring for the poor, especially hospitals in the Mississippi Delta region, one of the poorest regions in the U.S. In 2019, CMS revised the HRRP (2019 Revised HRRP) to stratify hospitals into quintiles based on the proportion of patients that are dual-eligible Medicare and Medicaid beneficiaries. This study aimed to examine the effect of the 2019 Revised HRRP on financial penalties for Delta hospitals using a difference-in-difference (DID) approach with data from the 2018 and 2019 HRRP Supplemental Files. The DID analysis found that relative to non-Delta hospitals, penalties in Delta hospitals were reduced by 0.08 percentage points from 2018 to 2019 (95% CI for the coefficient: -0.15, -0.01; P = .02), and the probability of a penalty was reduced by 6.64 percentage points (95% CI for the coefficient: -9.54, -3.75; P < .001). The stratification under the 2019 Revised HRRP is an important first step in reducing unfair penalties to hospitals that serve poor populations.

Quality Performance of Rural and Urban Home Health Agencies: Implications for Rural Add-On Payment Policies.

PURPOSE: To examine the differences in quality performance among agencies in urban areas and those in high utilization, low population density, and all other rural areas, defined in the Bipartisan Budget Act (BBA). METHODS: We conducted a retrospective study using 2015 data: the Home Health Compare, the Home Health Agency Utilization and Payment Use, the Provider of Services, and the Area Health Resources Files, and a file with rural categories in BBA. The quality measures included (1) hospitalizations, (2) emergency visits, (3) patient experience, (4) composite scores for improvement in activities of daily living (ADL), (5) improvement in pain and treating symptoms, (6) preventing harm, and (7) treating wounds and preventing pressure sores. We applied weighted least squares regression. FINDINGS: Among all quality measures, differences in emergency visits of the 3 rural categories from urban agencies were the largest. The adjusted mean emergency visit for urban agencies was 12.42%, with agencies in rural areas having 1.01-1.96 percentage points higher rates than urban agencies (95% CI: 0.72-1.29 for high utilization areas, 95% CI: 0.51-3.42 for low population areas, and 95% CI: 1.28-1.78 for all other areas). CONCLUSIONS: The differences in the quality of care among agencies in 3 categories of rural areas were small, except for emergency visits. Given policies to reduce rural add-on payments for home health services, continued monitoring of the services provided and the quality of care by home health agencies in rural areas is recommended.

Reply to "Risk adjustment in Home Health Care CAHPS".

The authors of "CMS HCC Risk Scores and Home Health Patient Experience Measures" respond to a letter to the editor.