Association of the Home Health Value-Based Purchasing Model With Quality, Utilization, and Medicare Payments After the First 5 Years.

Importance: The original Home Health Value-Based Purchasing (HHVBP) model provided financial incentives to home health agencies for quality improvement in 9 randomly selected US states. Objective: To evaluate quality, utilization, and Medicare payments for home health patients in HHVBP states compared with those in comparison states. Design, Setting, and Participants: This cohort study was conducted in 2021 with secondary data from January 2013 to December 2020. A difference-in-differences design and multivariate linear regression were used to compare outcomes for Medicare and Medicaid beneficiaries who received home health care in HHVBP states with those in 41 comparison states during 3 years of preintervention (2013-2015) and the subsequent 5 years (2016-2020). Exposures: Home health care provided by a home health agency in HHVBP states and comparison states. Main Outcomes and Measures: Utilization (unplanned hospitalizations, emergency department visits, skilled nursing facility [SNF] visits) for Medicare beneficiaries within 60 days of beginning home health, Medicare payments during and 37 days after home health episodes, and quality of care (functional status, patient experience) during home health episodes. Results: Among 34 058 796 home health episodes (16 584 870 beneficiaries; mean [SD] age of 76.6 [11.7] years; 60.5% female; 11.2% Black non-Hispanic; 79.5% White non-Hispanic) from January 2016 to December 2020, 22.6% were in HHVBP states and 77.4% were in non-HHVBP states. For the HHVBP and non-HHVBP groups, 60.4% and 61.0% of episodes were provided to female patients; 10.0% and 13.6% were provided to Black non-Hispanic patients, and 82.4% and 75.2% were provided to White non-Hispanic patients, respectively. Unplanned hospitalizations decreased by 0.15 percentage points (95% CI, -0.30 to -0.01) more in HHVBP states, a 1.0% decline compared with 15.7% at baseline. The use of SNFs decreased by 0.34 percentage points (95% CI, -0.40 to -0.27) more in HHVBP states, a 6.9% decline compared with the 4.9% baseline average. There was an association between HHVBP and a reduction in average Medicare payments per day of $2.17 (95% CI, -$3.67 to -$0.68) in HHVBP states, primarily associated with reduced inpatient and SNF services, which corresponded to an average annual Medicare savings of $190 million. There was greater functional improvement in HHVBP states than comparison states and no statistically significant change in emergency department use or most measures of patient experience. Conclusions and Relevance: In this cohort study, the HHVBP model was associated with lower Medicare payments that were associated with lower utilization of inpatient and SNF services, with better or similar quality of care.

Parent Partners: Evaluation of a Novel Peer-Support Intervention for the Caregivers of Children Hospitalized for Behavioral Health Conditions.

OBJECTIVE: Nearly 10% of all hospitalized children have a primary behavioral health diagnosis, but the effectiveness of treatment can be limited by caregivers' challenges navigating the behavioral health system. In this study, we assessed a novel peer-support intervention ("parent partners") designed for the caregivers of children admitted to an inpatient psychiatric unit. METHODS: We used a mixed-methods approach including 1) document review and interviews to assess implementation and 2) a difference-in-differences analysis using claims for Medicaid-enrolled children admitted to the intervention inpatient psychiatric unit and matched comparison children admitted to other inpatient psychiatric units to assess the impacts on health care use after discharge. RESULTS: Ninety-six percent of caregivers who were offered the intervention engaged with a parent partner. The primary challenges to implementation were accommodating the needs of parent partners to address behavioral health crises among their own children and initial limited engagement from behavioral health clinicians. The intervention leaders reported success in addressing these through adjustments to staffing policies, training parent partners in engagement with clinicians, and incorporating parent partners into team rounds. We did not find a statistically significant difference in follow-up outpatient behavioral health visits (adjusted treatment to comparison difference +3% [90% CI = -2%, +9%]), readmissions (+5% [-33%, +43%]), or behavioral health ED visits (-15% [-44%, +14%]). CONCLUSIONS: This novel intervention was implemented successfully, and although our study did not find statistically significant impacts on health care use after discharge, the findings for ED visits are suggestive of benefits. Parent peer support in inpatient settings warrants additional investigation.

Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013.

OBJECTIVE: To determine if recent growth in hospital and physician electronic health record (EHR) adoption and use is correlated with decreases in expenditures for elderly Medicare beneficiaries. DATA SOURCES: American Hospital Association (AHA) General Survey and Information Technology Supplement, Health Information Management Systems Society (HIMSS) Analytics survey, SK&A Information Services, and the Centers for Medicare & Medicaid Services (CMS) Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013. STUDY DESIGN: Fixed effects model comparing associations between hospital referral region (HRR) level measures of hospital and physician EHR penetration and annual Medicare expenditures for beneficiaries with one of four chronic conditions. Calculated hospital penetration rates as the percentage of Medicare discharges from hospitals that satisfied criteria analogous to Meaningful Use (MU) Stage 1 requirements and physician rates as the percentage of physicians using ambulatory care EHRs. PRINCIPAL FINDINGS: An increase in the hospital penetration rate was associated with a small but statistically significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary. An increase in physician EHR penetration was also associated with a significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary as well as a decrease in Medicare Part B expenditures per beneficiary. For the study population, we estimate approximately $3.8 billion in savings related to hospital and physician EHR adoption during 2010-2013. We also found that an increase in physician EHR penetration was associated with an increase in lab test expenses. CONCLUSIONS: Health care markets that had steeper increases in EHR penetration during 2010-2013 also had steeper decreases in total Medicare and acute care expenditures per beneficiary. Markets with greater increases in physician EHR had greater declines in Medicare Part B expenditures per beneficiary.

Physician EHR Adoption and Potentially Preventable Hospital Admissions among Medicare Beneficiaries: Panel Data Evidence, 2010-2013.

OBJECTIVE: To test for correlation between the growth in adoption of ambulatory electronic health records (EHRs) in the United States during 2010-2013 and hospital admissions and readmissions for elderly Medicare beneficiaries with at least one of four common ambulatory care-sensitive conditions (ACSCs). DATA SOURCES: SK&A Information Services Survey of Physicians, American Hospital Association General Survey and Information Technology Supplement; and the Centers for Medicare & Medicaid Services Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013. STUDY DESIGN: Fixed effects model estimated the relationship between hospital referral region (HRR) level measures of physician EHR adoption and ACSC admissions and readmissions. Analyzed rates of admissions and 30-day readmissions per beneficiary at the HRR level (restricting the denominator to beneficiaries in our sample), adjusted for differences across HRRs in Medicare beneficiary age, gender, and race. Calculated physician EHR adoption rates as the percentage of physicians in each HRR who report using EHR in ambulatory care settings. PRINCIPAL FINDINGS: Each percentage point increase in market-level EHR adoption by physicians is correlated with a statistically significant decline of 1.06 ACSC admissions per 10,000 beneficiaries over the study period, controlling for the overall time trend as well as market fixed effects and characteristics that changed over time. This finding implies 26,689 fewer ACSC admissions in our study population during 2010 to 2013 that were related to physician ambulatory EHR adoption. This represents 3.2 percent fewer ACSC admissions relative to the total number of such admissions in our study population in 2010. We found no evidence of a correlation between EHR use, by either physicians or hospitals, and hospital readmissions at either the market level or hospital level. CONCLUSIONS: This study extends knowledge about EHRs' relationship with quality of care and utilization. The results suggest a significant association between EHR use in ambulatory care settings and ACSC admissions that is consistent with policy goals to improve the quality of ambulatory care for patients with chronic conditions. The null findings for readmissions support the need for improved interoperability between ambulatory care EHRs and hospital EHRs to realize improvements in readmissions.

Geographic variation in health IT and health care outcomes: A snapshot before the meaningful use incentive program began.

BACKGROUND: The 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act, which includes the Meaningful Use (MU) incentive program, was designed to increase the adoption of health information technology (IT) by physicians and hospitals. Policymakers hope that increased use of health IT to exchange health information will in turn enhance the quality and efficiency of health care delivery. In this study, we analyze the extent to which key outcomes vary based on the levels of health ITness among physicians and hospitals before the HITECH and MU programs led to increases in adoption and changes in use. Our findings provide an important baseline for a future evaluation of the impact of these programs on population-level outcomes. METHODS: We constructed measures of the degree of hospital and physician adoption and use ("health ITness") at the level of the hospital referral region (HRR). We used data from the 2010 IT Supplement of the American Hospital Association (AHA) Annual Survey of Hospitals to capture hospital health ITness and data from the 2010 survey of ambulatory health care sites produced by SK&A Information Services for the physician measure. We conducted cross-sectional analyses of the relationship between market-level Medicare costs and use and three measures: (1) physician health ITness, (2) hospital health ITness, and (3) an overall measure of health ITness. RESULTS: In general, greater levels of physician health ITness are associated with decreasing costs and use. Many of these relationships lose statistical significance, however, when we control for population and market characteristics such as the average age and health status of Medicare beneficiaries, mean household income, and the HMO penetration rate. Several of the relationships also change according to the level of hospital health ITness. CONCLUSIONS: Our findings suggest that greater levels of physician health ITness are associated with decreasing costs and use for a number of services, including inpatient costs and stays, imaging services, and lab tests, in 2010. Our health ITness and outcomes measures are aggregated at the HRR level; as such, these results do not suggest that the adoption and use of health IT by individual physicians or hospitals leads to decreases in costs or use for their individual patients. Nevertheless, these baseline findings provide important information to be considered in future research analyzing the impact of HITECH and the MU incentives.

Does health information exchange reduce redundant imaging? Evidence from emergency departments.

BACKGROUND: Broad-based electronic health information exchange (HIE), in which patients' clinical data follow them between care delivery settings, is expected to produce large quality gains and cost savings. Although these benefits are assumed to result from reducing redundant care, there is limited supporting empirical evidence. OBJECTIVE: To evaluate whether HIE adoption is associated with decreases in repeat imaging in emergency departments (EDs). DATA SOURCE/STUDY SETTING: ED discharge data from the State Emergency Department Databases for California and Florida for 2007-2010 were merged with Health Information Management Systems Society data that report hospital HIE participation. METHODS: Using regression with ED fixed effects and trends, we performed a retrospective analysis of the impact of HIE participation on repeat imaging, comparing 37 EDs that initiated HIE participation during the study period to 410 EDs that did not participate in HIE during the same period. Within 3 common types of imaging tests [computed tomography (CT), ultrasound, and chest x-ray), we defined a repeat image for a given patient as the same study in the same body region performed within 30 days at unaffiliated EDs. RESULTS: In our sample there were 20,139 repeat CTs (representing 14.7% of those cases with CT in the index visit), 13,060 repeat ultrasounds (20.7% of ultrasound cases), and 29,703 repeat chest x-rays (19.5% of x-ray cases). HIE was associated with reduced probability of repeat ED imaging in all 3 modalities: -8.7 percentage points for CT [95% confidence interval (CI): -14.7, -2.7], -9.1 percentage points for ultrasound (95% CI: -17.2, -1.1), and -13.0 percentage points for chest x-ray (95% CI: -18.3, -7.7), reflecting reductions of 44%-67% relative to sample means. CONCLUSIONS: HIE was associated with reduced repeat imaging in EDs. This study is among the first to find empirical support for this anticipated benefit of HIE.

A positive deviance perspective on hospital knowledge management: analysis of Baldrige Award recipients 2002-2008.

Knowledge management (KM) is emerging as an important aspect of achieving excellent organizational performance, but its use has not been widely explored for hospitals. Taking a positive deviance perspective, we analyzed the applications of nine healthcare organizations (HCOs) that received the Malcolm Baldrige National Quality Award from 2002 to 2008. Baldrige Award applications constitute a uniquely comprehensive, standardized, and audited record of HCOs achieving near-benchmark performance. Applications are organized around leadership, strategy, customers, information, workforce, and operations. We find that KM is frequently referenced in all sections, and about two thirds of each application addresses KM-related issues. Many specific KM activities, such as strategic and action plans, communications, and processes to capture internal and external knowledge, are addressed by all nine applications. We present examples illustrating these frequently appearing KM concepts. Baldrige Award-recipient HCOs apply continuous improvement to KM processes, as they do to their organizations as a whole. We conclude that these HCOs have developed sophisticated, comprehensive KM processes to align both culture and specific procedures throughout the organization. KM in these organizations is a deliberate effort to keep all relevant knowledge at the fingertips of every worker, characterized by frequent communication, careful maintenance of content accuracy, and redundant distribution. We also conclude that the extent and rigor of their KM practice distinguish them from other U.S. hospitals.

The effect of hospital-physician integration on health information technology adoption.

The US federal government has recently made a substantial investment to enhance the US health information technology (IT) infrastructure. Previous literature on the impact of IT on firm performance across multiple industries has emphasized the importance of a process of co-invention whereby organizations develop complementary practices to achieve greater benefit from their IT investments. In health care, employment of physicians by hospitals can confer greater administrative control to hospitals over physicians' actions and resources and thus enable the implementation of new technology and initiatives aimed at maximizing benefit from use of the technology. In this study, I tested for the relationship between hospital employment of physicians and hospitals' propensity to use health IT. I used state laws that prohibit hospital employment of physicians as an instrument to account for the endogenous relationship with hospital IT use. Hospital employment of physicians is associated with significant increases in the probability of hospital health IT use. Therefore, subsidization of health IT among hospitals not employing physicians may be less efficient. Furthermore, state laws prohibiting hospitals from employing physicians may inhibit adoption of health IT, thus working against policy initiatives aimed at promoting use of the technology.

Characteristics associated with hospital health IT vendor switching and dropping.

While a growing body of research has investigated the diffusion of health IT among providers, no empirical research has yet focused on health IT vendor switching by hospitals. Vendor switching is one indicator of a competitive commercial vendor market, and competition among vendors can spur innovations which contribute to better products over time. This study examines the interaction of hospitals with commercial vendors in the recent past to serve as a baseline for future investigations into how the federal health IT incentive program influences changes in the vendor market and vendor-provider relationships. We find that there has been considerable switching between vendors by hospitals, including some hospitals switching away from automated systems all together. Furthermore, our descriptive cross-sectional analysis reveals various hospital characteristics which are associated with vendor switching and dropping, including lower constraints on hospitals' financial resources, nonprofit ownership, and having some form of integrated arrangement with physicians.

Understanding meaningful outcomes.

This commentary is meant to set the stage for further discussion about how the objective of a learning healthcare system can be advanced through better specifying requirements to support secondary data use. Recent federal initiatives seek to foster widespread health information technology adoption in the hopes of improving the efficiency and efficacy of our nation's health system. Development of a framework for codifying clinical outcomes would support those objectives primarily though making it easier to uncover associative patterns in patient care data. Put simply, the explicit classification of patient outcomes at the point of care seems to be a prerequisite to foster the most rapid exploration of achievable outcomes and their determinants. Considerations in such an endeavor include attributional validity, accounting for treatment appropriateness, incorporating patient perspectives, and evaluating the impacts of linkages to pay-for-performance programs.