Participation of Veterans Affairs Medical Centers in veteran-centric community-based service navigation networks: A mixed methods study

OBJECTIVE

To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social needs.

DATA SOURCES AND SETTING

Semi-structured interviews were conducted with AmericaServes and VAMC staff across seven regional networks. We matched administrative data to calculate the percentage of AmericaServes referrals that were successfully resolved (i.e., requested support was provided) in each network overall and stratified by whether clients were also VAMC patients.

STUDY DESIGN

Convergent parallel mixed-methods study guided by Himmelman's Developmental Continuum of Change Strategies (DCCS) for interorganizational collaboration.

DATA COLLECTION

Fourteen AmericaServes staff and 17 VAMC staff across seven networks were recruited using snowball sampling and interviewed between October 2021 and April 2022. Rapid qualitative analysis methods were used to characterize the extent and determinants of VAMC participation in networks.

PRINCIPAL FINDINGS

On the DCCS continuum of participation, three networks were classified as networking, two as coordinating, one as cooperating, and one as collaborating. Barriers to moving from networking to collaborating included bureaucratic resistance to change, VAMC leadership buy-in, and not having VAMCs staff use the shared technology platform. Facilitators included ongoing communication, a shared mission of serving Veterans, and having designated points-of-contact between organizations. The percentage of referrals that were successfully resolved was lowest in networks engaged in networking (65.3%) and highest in cooperating (85.6%) and collaborating (83.1%) networks. For coordinating, cooperating, and collaborating networks, successfully resolved referrals were more likely among Veterans who were also VAMC patients than among Veterans served only by AmericaServes.

CONCLUSIONS

VAMCs participate in AmericaServes Networks at varying levels. When partnerships are more advanced, successful resolution of referrals is more likely, especially among Veterans who are dually served by both organizations. Although challenges to establishing partnerships exist, this study highlights effective strategies to overcome them.

Hospital outpatient department billing is a poor indicator of primary care practice integration with hospital systems

OBJECTIVE

To test the reliability of Medicare claims in measuring vertical integration. We assess the accuracy of a commonly used measure of integration, primary care physician (PCP) practices billing Medicare as a hospital outpatient department (HOPD) in claims.

DATA SOURCES AND STUDY SETTING

Medicare fee-for-service claims, IQVIA, and CPC+ practice surveys for this study.

STUDY DESIGN

We compare measures of integration from Medicare claims to self-reported indicators of integration from IQVIA and a survey of CPC+ participating practice sites.

DATA COLLECTION/EXTRACTION METHODS

We measure integration by using site-of-service billing in the 100% sample of Medicare Carrier claims from 2017-2020. In the IQVIA SK&A (2017-2018), OneKey (2019-2020), and practice survey data (2017-2019), we use self-reported responses to measure integration.

PRINCIPAL FINDINGS

We find that currently most PCP practices sites that report themselves as being integrated with a health system do not bill as an HOPD. In 2017, 11% of CPC+ practices were identified as being vertically integrated in claims, while the equivalent numbers in SK&A and surveys were 52% and 54% integration, respectively. A t-test found that both datasets significantly differed from claims (Survey: 41.3%-45.1%; SK&A: 45.3%-51.1%); this gap persists in 2018-2019.

CONCLUSION

Measuring physician-hospital vertical integration accurately is integral to determining consolidation. The overwhelming majority of PCP practice sites not billing as an HOPD may reflect Medicare regulatory changes that have reduced the financial incentives for doing so. These findings have implications for researchers that study the growth in PCP-hospital integration in health care markets.

A case study on variations in network structure and cross-sector alignment in two local systems serving pregnant and parenting women in recovery

OBJECTIVE

To describe network structure and alignment across organizations in healthcare, public health, and social services sectors that serve pregnant and parenting women with substance use disorder (SUD) in an urban and a rural community.

DATA SOURCES AND STUDY SETTINGS

Two community networks, one urban and one rural with each including a residential substance use treatment program, in Kentucky during 2021.

STUDY DESIGN

Social network analysis measured system collaboration and cross-sector alignment between healthcare, public health, and social services organizations, applying the Framework for Aligning Sectors. To understand the alignment and structure of each network, we measured network density overall and between sectors, network centralization, and each organization's degree centrality and effective size.

DATA COLLECTION/EXTRACTION METHODS

Computer-assisted telephone interviews were conducted to document alignment around shared purpose, data, financing, and governance.

PRINCIPAL FINDINGS

On average, overall and cross-sector network densities in both communities were similar. However, alignment was highest for data sharing and financing in the urban community and for shared purpose and governance in the rural community. Cross-sector partnerships involving healthcare organizations were more prevalent in the rural county (44% vs. 38% for healthcare/public health, 44% vs. 29% for healthcare/social services), but more prevalent for those involving public health/social services organizations in the urban county (42% vs. 24%). A single healthcare organization had the highest degree centrality (Mdn [IQR] = 26 [26-9.5]) and effective size (Mdn [IQR] = 15.9 [20.6-8.7]) within the rural county. Social services organizations held more central positions in the urban county (degree centrality Mdn [IQR] = 13 [14.8-9.5]; effective size Mdn [IQR] = 10.4 [11.4-7.9]).

CONCLUSIONS

Cross-sector alignment may strengthen local capacity for comprehensive SUD care for pregnant and parenting women. Healthcare organizations are key players in cross-sector partnerships in the rural community, where one healthcare facility holds the central brokerage role. In contrast, public health agencies are key to cross-sector collaboration with social services in the urban community.

Longitudinal Trends in Insurer Participation in Multisector Population Health Activities

Healthcare organizations increasingly engage in activities to identify and address social determinants of health (SDOH) among their patients to improve health outcomes and reduce costs. While several studies to date have focused on the evolving role of hospitals and physicians in these types of population health activities, much less is known about the role health insurers may play. We used data from the National Longitudinal Survey of Public Health Systems for the period 2006 to 2018 to examine trends in health insurer participation in population health activities and in the multi-sector collaborative networks that support these activities. We also used a difference-in-differences approach to examine the impact of Medicaid expansion on insurer participation in population health networks. Insurer participation increased in our study period both in the delivery of population health activities and in the integration into collaborative networks that support these activities. Insurers were most likely to participate in activities focusing on community health assessment and policy development. Results from our adjusted difference-in-differences models showed variation in association between insurer participation in population health networks and Medicaid expansion (Table 2). Population health networks in expansion states experienced significant increases insurer participation in assessment (4.48 percentage points, P < .05) and policy and planning (7.66 percentage points, P < .05) activities. Encouraging insurance coverage gains through policy mechanisms like Medicaid expansion may not only improve access to healthcare services but can also act as a driver of insurer integration into population health networks.

Specialist use among privately insured children with disabilities

OBJECTIVE

To investigate primary care practice ownership and specialist-use patterns for commercially insured children with disabilities.

DATA SOURCES AND STUDY SETTING

A national commercial claims database and the Health Systems and Provider Database from 2012 to 2016 are the data sources for this study.

STUDY DESIGN

This cross-sectional, descriptive study examines: (1) the most visited type of pediatric primary care physician and practice (independent or system-owned); (2) pediatric and non-pediatric specialist-use patterns; and (3) how practice ownership relates to specialist-use patterns.

DATA COLLECTION/EXTRACTION METHODS

This study identifies 133,749 person-years of commercially insured children with disabilities aged 0-18 years with at least 24 months of continuous insurance coverage by linking a national commercial claims data set with the Health Systems and Provider Database and applying the validated Children with Disabilities Algorithm.

PRINCIPAL FINDINGS

Three-quarters (75.9%) of children with disabilities received their pediatric primary care in independent practices. Nearly two thirds (59.6%) used at least one specialist with 45.1% using nonpediatric specialists, 28.8% using pediatric ones, and 17.0% using both. Specialist-use patterns varied by both child age and specialist type. Children with disabilities in independent practices were as likely to see a specialist as those in system-owned ones: 57.1% (95% confidence interval [95% CI] 56.7%-57.4%) versus 57.3% (95% CI 56.6%-58.0%), respectively (p = 0.635). The percent using two or more types of specialists was 46.1% (95% CI 45.4%-46.7%) in independent practices, comparable to that in systems 47.1% (95% CI 46.2%-48.0%) (p = 0.054). However, the mean number of specialist visits was significantly lower in independent practices than in systems-4.0 (95% CI 3.9%-4.0%) versus 4.4 (95% CI 4.3%-4.6%) respectively-reaching statistical significance with p < 0.0001.

CONCLUSIONS

Recognizing how privately insured children with disabilities use pediatric primary care from pediatric and nonpediatric primary care specialists through both independent and system-owned practices is important for improving care quality and value.

Organization of pulmonary hypertension care in non-expert care settings: Lessons learned from a multi-site study

OBJECTIVE

To examine how select Veterans Health Administration (VA) sites organized care for patients with pulmonary hypertension (PH), with a focus on describing existing practices and identifying unmet needs within the sites.

DATA SOURCES AND STUDY SETTING

Semi-structured interviews across seven diverse VA sites.

STUDY DESIGN

Qualitative multiple-site study.

DATA COLLECTION/EXTRACTION METHODS

We interviewed 54 key informants including pulmonologists, cardiologists, primary care providers, advanced care practitioners, pharmacists, and clinical leaders to assess the structures and processes of PH care delivery. We analyzed transcripts using directed content analysis and constructed site profiles for each site, comparing profiles to existing guidelines for PH expert centers.

PRINCIPAL FINDINGS

Sites varied considerably in how they organized PH care, with wide variation in the availability of structures and processes recommended for expert centers, including availability of PH expertise and PH-specific resources, multidisciplinary approach to care, establishment of clear referral pathways, and presence of PH education. Further, participants identified three areas of unmet need not directly addressed within current guidelines, including better integration of pharmacists into multidisciplinary teams, early and routine involvement of palliative care, and improved care coordination efforts.

CONCLUSIONS

The rising prevalence of PH and evolution of treatments for common PH subgroups underscore the need to standardize PH care delivery in non-expert care settings to improve care quality and patient outcomes. The insight gained from this study may inform the development of guidance appropriate for care settings outside of expert centers.

Impact of a selective narrow network with comprehensive patient navigation on access, utilization, expenditures, and enrollee experiences

OBJECTIVE

To examine the effect of enrollee switching from a broad-network accountable care organization (ACO) health maintenance organization (HMO) to a "high performance" ACO-HMO with a selective narrow network and comprehensive patient navigation system on access, utilization, expenditures, and enrollee experiences.

DATA SOURCES

Secondary administrative data were obtained for 2016-2020, and primary interview and survey data in 2021.

STUDY DESIGN

Fixed-effects instrumental variable analyses of administrative data and regression analyses of survey data. Outcomes included access, utilization, expenditures, and enrollee experience. Background information was gathered via interviews.

DATA COLLECTION/EXTRACTION METHODS

We obtained medical expenditure/enrollment and access data on continuously enrolled members in a broad-network ACO-HMO (n = 24,555), a subset of those who switched to a high-performance ACO-HMO in 2018 (n = 7664); interviews of organizational leaders (n = 13); and an enrollee survey (n = 512).

PRINCIPAL FINDINGS

Health care effectiveness data and information Set (HEDIS) access measures were not different across plans. However, annual utilization dropped by 15.5 percentage points (95% CI: 18.1, 12.9) more in the high-performance ACO-HMO, with relative annual expenditures declining by $1251 (95% CI: $1461, $1042) per person per year. High-performance ACO-HMO enrollees were 10.1 percentage points (95% CI 0.001, 0.201) more likely to access primary care usually or always as soon as needed and 11.2 percentage points (95% CI 0.007, 0.217) more likely to access specialty care usually or always as soon as needed. Plan satisfaction was 7.1 percentage points (95% CI: -0.001, 0.138) higher in the high-performance ACO-HMO. Interviewees noted the comprehensive patient navigation system was designed to ensure patients remained in the narrow network to receive care.

CONCLUSIONS

ACO and HMO contracts with selective narrow networks supported by comprehensive patient navigation can reduce expenditures and improve specialty access and patient satisfaction compared to broad-network plans that lack these features. Payers should consider implementing narrow networks with comprehensive support systems.

Growing inequities in mental health crisis services offered to indigent patients in Puerto Rico versus the US states before and after Hurricanes Maria and Irma

OBJECTIVE

To assess changes in the availability of mental health crisis services in Puerto Rico relative to US states before and after Hurricanes Maria and Irma.

DATA SOURCES/STUDY SETTING

National Mental Health Services Surveys conducted in 2016 and 2020.

STUDY DESIGN

Repeated cross-sectional design. The independent variable was mental health facility location in Puerto Rico or a US state. Dependent variables were the availability of three mental health crisis services (psychiatric emergency walk-in services, suicide prevention services, and crisis intervention team services).

DATA COLLECTION/EXTRACTION METHODS

The proportion and per 100,000 population rate of facilities offering crisis services were calculated.

PRINCIPAL FINDINGS

The availability of crisis services at mental health facilities in Puerto Rico remained stable between 2016 and 2020. These services were offered less at indigent care facilities in Puerto Rico than US states (e.g., 38.2% vs. 49.5% for suicide prevention, p = 0.06) and the magnitude of difference increased following Hurricane Maria.

CONCLUSIONS

There are disparities between Puerto Rico and US states in the availability of mental health crisis services for indigent patients.

Impact of state Medicaid expansion on cross-sector health and social service networks: Evidence from a longitudinal cohort study

OBJECTIVE

To examine the impact of state Medicaid expansion on the delivery of population health activities in cross-sector health and social services networks. Community networks are multisector, interorganizational networks that provide services ranging from the direct provision of individual social services to the implementation of population-level initiatives addressing community outcomes.

DATA SOURCES

We used data measuring the composition of cross-sector population health networks 2006-2018 National Longitudinal Survey of Public Health Systems (NALSYS) linked with the Area Health Resource File.

STUDY DESIGN

A difference-in-differences approach was used to examine the impact of expansion on organization engagement in population health activities and network structure.

DATA COLLECTION/EXTRACTION METHODS

Stratified random sampling of local public health jurisdictions in the United States. We restricted our data to jurisdictions serving populations of 100,000 or more and states that had NALSYS observations across all time periods, resulting in a final sample size of 667.

PRINCIPAL FINDINGS

Results from our adjusted difference-in-differences estimates indicated that Medicaid expansion was associated with a 2.3 percentage point increase in the density of population health networks (p < 0.10). Communities in states that expanded Medicaid experienced significant increases in the participation of local public health, local government, hospital, nonprofit, insurer, and K-12 schools. Of the organizations with significant increases in expansion communities, nonprofits (7.7 percentage points, p < 0.01), local public health agencies (6.5 percentage points, p < 0.01), hospitals (5.8 percentage points, p < 0.01), and local government agencies (6.0 percentage points, p < 0.05) had the largest gains.

CONCLUSIONS

Our study found increases in cross-sector participation in population health networks in states that expanded Medicaid compared with nonexpansion states, suggesting that additional coverage gains are associated with positive changes in population health network structure.

Effects of an electronic health record-based mobility assessment and automated referral for inpatient physical therapy on patient outcomes: A quasi-experimental study

OBJECTIVE

To assess the effectiveness of a hospital physical therapy (PT) referral triggered by scores on a mobility assessment embedded in the electronic health record (EHR) and completed by nursing staff on hospital admission.

DATA SOURCES

EHR and billing data from 12 acute care hospitals in a western Pennsylvania health system (January 2017-February 2018) and 11 acute care hospitals in a northeastern Ohio health system (August 2019-July 2021).

STUDY DESIGN

We utilized a regression discontinuity design to compare patients admitted to PA hospitals with stroke who reached the mobility score threshold for an EHR-PT referral (treatment) to those who did not (control). Outcomes were hospital length of stay (LOS) and 30-day readmission or mortality. Control variables included demographics, insurance, income, and comorbidities. Hospital systems with EHR-PT referrals were also compared to those without (OH hospitals as alternative control). Subgroup analyses based on age were also conducted.

DATA EXTRACTION

We identified adult patients with a primary or secondary diagnosis of stroke and mobility assessments completed by nursing (n = 4859 in PA hospitals, n = 1749 in OH hospitals) who completed their inpatient stay.

PRINCIPAL FINDINGS

In the PA hospitals, patients with EHR-PT referrals had an 11.4 percentage-point decrease in their 30-day readmission or mortality rates (95% CI -0.57, -0.01) relative to the control. This effect was not observed in the OH hospitals for 30-day readmission (β = 0.01; 95% CI -0.25, 0.26). Adults over 60 years old with EHR-PT referrals in PA had a 26.2 percentage-point (95% CI -0.88, -0.19) decreased risk of readmission or mortality compared to those without. Unclear relationships exist between EHR-PT referrals and hospital LOS in PA.

CONCLUSIONS

Health systems should consider methodologies to facilitate early acute care hospital PT referrals informed by mobility assessments.

Association between non-profit hospital community benefit spending and health outcomes

OBJECTIVE

To determine if greater non-profit hospital spending for community benefits is associated with better health outcomes in the county where they are located.

DATA SOURCES AND STUDY SETTING

Community benefit data from IRS Form 990/Schedule H was linked to health outcome data from Area Health Resource Files, Map the Meal Gap, and Medicare claims from the Center for Medicare and Medicaid Services at the county level. Counties with at least one non-profit hospital in the United States from 2015 to 2019 (N = 5469 across the 5 years) were included.

STUDY DESIGN

We ran multiple regressions on community benefit expenditures linked with the number of health professionals, food insecurity, and adherence to diabetes and hypertension medication for each county.

DATA COLLECTION

The three outcomes were chosen based on prior studies of community benefit and a recent survey sent to 12 health care executives across four regions of the U.S. Data on community benefit expenditures and health outcomes were aggregated at the county level.

PRINCIPAL FINDINGS

Average hospital community benefit spending in 2019 was $63.6 million per county ($255 per capita). Multivariable regression results did not demonstrate significant associations of total community benefit spending with food insecurity or medication adherence for diabetes. Statistically significant associations with the number of health professionals per 1000 (coefficient, 12.10; SE, 0.32; p < 0.001) and medication adherence for hypertension (marginal effect, 0.27; SE, 0.09; p = 0.003) were identified, but both would require very large increases in community benefit spending to meaningfully improve outcomes.

CONCLUSIONS

Despite varying levels of non-profit hospital community benefit investment across counties, higher community benefit expenditures are not associated with an improvement in the selected health outcomes at the county level. Hospitals can use this information to reassess community benefit strategies, while federal, state, and local governments can use these findings to redefine the measures of community benefit they use to monitor and grant tax exemption.

Overcoming Barriers to the Implementation of Integrated Musculoskeletal Pain Management Programs: A Multi-Stakeholder Qualitative Study

Integrated pain management (IPM) programs can help to reduce the substantial population health burden of musculoskeletal pain, but are poorly implemented. Lessons learned from existing programs can inform efforts to expand IPM implementation. This qualitative study describes how health care systems, payers, providers, health policy researchers, and other stakeholders are overcoming barriers to developing and sustaining IPM programs in real-world settings. Primary data were collected February 2020 through September 2021 from a multi-sector expert panel of 25 stakeholders, 53 expert interviews representing 30 distinct IPM programs across the United States, and 4 original case studies of exemplar IPM programs. We use a consensual team-based approach to systematically analyze qualitative findings. We identified 4 major themes around challenges and potential solutions for implementing IPM programs: navigating coverage, payment, and reimbursement; enacting organizational change; making a business case to stakeholders; and overcoming regulatory hurdles. Strategies to address payment challenges included use of group visits, linked visits between billable and nonbillable providers, and development of value-based payment models. Organizational change strategies included engagement of clinical and administrative champions and co-location of services. Business case strategies involved demonstrating the ability to initially break even and potential to reduce downstream costs, while improving nonfinancial outcomes like patient satisfaction and provider burnout. Regulatory hurdles were overcome with innovative credentialing methods by leveraging available waivers and managed care contracting to expand access to IPM services. Lessons from existing programs provide direction on to grow and support such IPM delivery models across a variety of settings. PERSPECTIVE: Integrated pain management (IPM) programs face numerous implementation challenges related to payment, organizational change, care coordination, and regulatory requirements. Drawing on real-world experiences of existing programs and from diverse IPM stakeholders, we outline actionable strategies that health care systems, providers, and payers can use to expand implementation of these programs.

Rural Medicare beneficiaries are increasingly likely to be admitted to urban hospitals

OBJECTIVE

To determine whether rural Medicare FFS beneficiaries are more likely to be admitted to an urban hospital in 2018 than in 2010.

DATA SOURCES

We combined data from the 2010 to 2018 Hospital Service Area File (HSAF) and the 2010-2017 American Hospital Association (AHA) survey.

STUDY DESIGN

We conducted a fixed-effects negative-binomial regression to determine whether urban hospital admissions from rural ZIP codes were increasing over time. We also conducted an exploratory geographically weighted regression.

DATA COLLECTION

We transformed the HSAF data into a ZIP code-level file with all rural ZIP codes. We defined rural as having a Rural-Urban Commuting Area (RUCA) code ≥4. A hospital's system affiliation status was incorporated from the AHA survey.

PRINCIPAL FINDINGS

Controlling for distance to the nearest hospitals, an increase of 1 year was associated with a 2.0% increase (p < 0.001) in the number of admissions to urban hospitals from each rural ZIP code. New system affiliation of the nearest rural hospital was associated with an increase of 1.7% (p < 0.001).

CONCLUSIONS

Even when controlling for distance to the nearest rural hospital (which reflects hospital closures), rural patients were increasingly likely to be admitted to an urban hospital.

Assessing the Added Value of Vital Signs Extracted from Electronic Health Records in Healthcare Risk Adjustment Models

Purpose

Patient vital signs are related to specific health risks and outcomes but are underutilized in the prediction of health-care utilization and cost. To measure the added value of electronic health record (EHR) extracted Body Mass Index (BMI) and blood pressure (BP) values in improving healthcare risk and utilization predictions.

Patients and Methods

A sample of 12,820 adult outpatients from the Johns Hopkins Health System (JHHS) were identified between 2016 and 2017, having high data quality and recorded values for BMI and BP. We evaluated the added value of BMI and BP in predicting health-care utilization and cost through a retrospective cohort design. BMI, mean arterial pressure (MAP), systolic and diastolic BPs were summarized as annual aggregated values. Concurrent annual BMI and MAP changes were quantified as the difference between maximum and minimum recorded values. Model performance estimates consisted of repeated 10-fold cross validation, compared to base model point estimates for demographic and diagnostic, coded events: (1) patient age and sex, (2) age, sex, and the Charlson weighted index, (3) age, sex and the Johns Hopkins ACG system’s DxPM risk score.

Results

Both categorical BMI and BP were progressively indicative of disease comorbidity, but not uniformly related to health-care utilization or cost. Annual change in BMI and MAP improved predictions for most concurrent year outcomes when compared to base models.

Conclusion

When a healthcare system lacks relevant diagnostic or risk assessment information for a patient, vital signs may be useful for a simple estimation of disease risk, cost and utilization.

The effect of a public transportation expansion on no-show appointments

OBJECTIVE

To test whether there were fewer missed medical appointments ("no-shows") for patients and clinics affected by a significant public transportation expansion.

STUDY SETTING

A new light rail line was opened in a major metropolitan area in June 2014. We obtained electronic health records data from an integrated health delivery system in the area with over three million appointments at 97 clinics between 2013 and 2016.

STUDY DESIGN

We used a difference-in-differences research design to compare whether no-show appointment rates differentially changed among patients and clinics located near versus far from the new light rail line after it opened. Models included fixed effects to account for underlying differences across clinics, patient zip codes, and time.

DATA EXTRACTION METHODS

We obtained data from an electronic health records system representing all appointments scheduled at 97 outpatient clinics in this system. We excluded same-day, urgent care, and canceled appointments.

PRINCIPAL FINDINGS

The probability of no-show visits differentially declined by 0.5 percentage points (95% confidence interval [CI]: -0.9 to -0.1), or 4.5% relative to baseline, for patients living near the new light rail compared to those living far from it, after the light rail opened. The effects were stronger among patients covered by Medicaid (-1.6 percentage points [95% CI: -2.4 to -0.8] or 9.5% relative to baseline).

CONCLUSIONS

Improvements to public transit may improve access to health care, especially for people with low incomes.

From patient outcomes to system change: Evaluating the impact of VHA's implementation of the Whole Health System of Care

OBJECTIVE

To describe how a partnered evaluation of the Whole Health (WH) system of care-comprised of the WH pathway, clinical care, and well-being programs-produced patient outcomes findings, which informed Veterans Health Administration (VA) policy and system change.

DATA SOURCES

Electronic health records (EHR)-based cohort of 1,368,413 patients and a longitudinal survey of Veterans receiving care at 18 WH pilot medical centers.

STUDY DESIGN

In partnership with VA operations, we focused the evaluation on the impact of WH services utilization on Veterans' (1) use of opioids and (2) care experiences, care engagement, and well-being. Outcomes were compared between Veterans who did and did not use WH services identified from the EHR.

DATA COLLECTION

Pharmacy records and WH service data were obtained from the VA EHR, including WH coaching, peer-led groups, personal health planning, and complementary, integrative health therapies. We surveyed veterans at baseline and 6 months to measure patient-reported outcomes.

PRINCIPAL FINDINGS

Opioid use decreased 23% (31.5-6.5) to 38% (60.3-14.4) among WH users depending on level of WH use compared to a secular 11% (12.0-9.9) decrease among Veterans using Conventional Care. Compared to Conventional Care users, WH users reported greater improvements in perceptions of care (SMD = 0.138), engagement in health care (SMD = 0.118) and self-care (SMD = 0.1), life meaning and purpose (SMD = 0.152), pain (SMD = 0.025), and perceived stress (SMD = 0.191).

CONCLUSIONS

Evidence developed through this partnership yielded key VA policy changes to increase Veteran access to WH services. Findings formed the foundation of a congressionally mandated report in response to the Comprehensive Addiction and Recovery Act, highlighting the value of WH and complementary, integrative health and well-being programs for Veterans with pain. Findings subsequently informed issuance of an Executive Decision Memo mandating the integration of WH into mental health and primary care across VA, now one lane of modernization for VA.

Patterns of adoption of robotic radical prostatectomy in the United States and England

OBJECTIVES

To compare patterns of technological adoption of minimally invasive surgery for radical prostatectomy across the United States and England.

DATA SOURCES

We examine radical prostatectomy in the United States and England between 2005 and 2017, using de-identified administrative claims data from the OptumLabs Data Warehouse in the United States and the Hospital Episodes Statistics in England.

STUDY DESIGN

We conducted a longitudinal analysis of robotic, laparoscopic, and open surgery for radical prostatectomy. We compared the trends of adoption over time within and across countries. Next, we explored whether differential adoption patterns in the two health systems are associated with differences in volumes and patient characteristics. Finally, we explored the relationship between these adoption patterns and length of stay, 30-day readmission, and urology follow-up visits.

DATA COLLECTION

Open, laparoscopic, and robotic radical prostatectomies are identified using Office of Population Censuses and Surveys Classification of Interventions and Procedures (OPCS) codes in England and International Classification of Diseases ninth revision (ICD9), ICD10, and Current Procedural Terminology (CPT) codes in the United States.

PRINCIPAL FINDINGS

We identified 66,879 radical prostatectomies in England and 79,358 in the United States during 2005-2017. In both countries, open surgery dominates until 2009, where it is overtaken by minimally invasive surgery. The adoption of robotic surgery is faster in the United States. The adoption rates and, as a result, the observed centralization of volume, have been different across countries. In both countries, patients undergoing radical prostatectomies are older and have more comorbidities. Minimally invasive techniques show decreased length of stay and 30-day readmissions compared to open surgery. In the United States, robotic approaches were associated with lower length of stay and readmissions when compared to laparoscopic.

CONCLUSIONS

Robotic surgery has become the standard approach for radical proctectomy in the United States and England, showing decreased length of stay and in 30-day readmissions compared to open surgery. Adoption rates and specialization differ across countries, likely a product of differences in cost-containment efforts.

Validation and application of a needs-based segmentation tool for cross-country comparisons

OBJECTIVE

To compare countries' health care needs by segmenting populations into a set of needs-based health states.

DATA SOURCES

We used seven waves of the Survey of Health, Aging and Retirement in Europe (SHARE) panel survey data.

STUDY DESIGN

We developed the Cross-Country Simple Segmentation Tool (CCSST), a validated clinician-administered instrument for categorizing older individuals by distinct, homogeneous health and related social service needs. Using clinical indicators, self-reported physician diagnosis of chronic disease, and performance-based tests conducted during the survey interview, individuals were assigned to 1-5 global impressions (GI) segments and assessed for having any of the four identifiable complicating factors (CFs). We used Cox proportional hazard models to estimate the risk of mortality by segment. First, we show the segmentation cross-sectionally to assess cross-country differences in the fraction of individuals with different levels of medical needs. Second, we compare the differences in the rate at which individuals transition between those levels and death.

DATA COLLECTION/EXTRACTION METHODS

We segmented 270,208 observations (from Austria, Belgium, Czech Republic, Denmark, France, Germany, Greece, Israel, Italy, the Netherlands, Poland, Spain, Sweden, and Switzerland) from 96,396 individuals into GI and CF categories.

PRINCIPAL FINDINGS

The CCSST is a valid tool for segmenting populations into needs-based states, showing Switzerland with the lowest fraction of individuals in high medical needs segments, followed by Denmark and Sweden, and Poland with the highest fraction, followed by Italy and Israel. Comparing hazard ratios of transitioning between health states may help identify country-specific areas for analysis of ecological and cultural risk factors.

CONCLUSIONS

The CCSST is an innovative tool for aggregate cross-country comparisons of both health needs and transitions between them. A cross-country comparison gives policy makers an effective means of comparing national health system performance and provides targeted guidance on how to identify strategies for curbing the rise of high-need, high-cost patients.

Who Is Doing What in Home Care Services?

(1) Background: This paper investigates the distribution of work hours by activity, for the main staff categories in home care services in three rural Norwegian municipalities. In Norway these categories are registered nurses, assistant nurses and assistant health workers. (2) Methods: The three categories of home care staff recorded 20,964 eligible observations over 8 weeks. We identified 19 activities, which were recorded. The majority of staff used a smartphone application for the time measuring, while some staff used a manual form for reporting purposes. (3) Results: The registered nurses (RNs) spent 32% of their time on direct patient work, while driving accounted for 18%. Direct patient work and driving accounted for the majority of activities performed by assistant nurses (48% and 29%, respectively) and assistant health workers (70% and 17%, respectively). (4) Conclusions: The demand for home care services is increasing in terms of both size and complexity. Simultaneously, there is a growing shortage of skilled staff. RNs is the group with the least face-to-face time with patients. To meet the patients' needs, it is necessary to discuss and modify existing home care service systems in order to use resources appropriately and effectively.

Hospital complications among older adults: Better processes could reduce the risk of delirium

Using observational data and variation in hospital admissions across days of the week, we examined the association between ED boarding time and development of delirium within 72 hours of admission among patients aged 65+ years admitted to an inpatient neurology ward. We exploited a natural experiment created by potentially exogenous variation in boarding time across days of the week because of competition for the neurology floor beds. Using proportional hazard models adjusting for socio-demographic and clinical characteristics in a propensity score, we examined the time to delirium onset among 858 patients: 2/3 were admitted for stroke, with the remaining admitted for another acute neurologic event. Among all patients, 81.2% had at least one delirium risk factor in addition to age. All eligible patients received delirium prevention protocols upon admission to the floor and received at least one delirium screening event. While the clinical and social-demographic characteristics of admitted patients were comparable across days of the week, patients with ED arrival on Sunday or Tuesday were more likely to have had delayed floor admission (waiting time greater than 13 hours) and delirium (adjusted HR = 1.54, 95%CI:1.37-1.75). Delayed initiation of delirium prevention protocol appeared to be associated with greater risk of delirium within the initial 72 hours of a hospital admission.

Model Homes: Evaluating Approaches to Patient-centered Medical Home Implementation

BACKGROUND

The patient-centered medical home (PCMH) model has been widely adopted, but the evidence on its effectiveness remains mixed. One potential explanation for these mixed findings is variation in how the model is implemented by practices.

OBJECTIVE

To identify the impact of different approaches to PCMH adoption on health care utilization in a long-term, geographically diverse sample of patients.

DESIGN

Difference-in-differences evaluation of PCMH impact on cost and utilization.

SUBJECTS

A total of 5,314,284 patient-year observations from the HealthCore Integrated Research Database, and 5943 practices which adopted the PCMH model in 14 states between 2011 and 2015.

INTERVENTION

PCMH adoption, as defined by the National Committee for Quality Assurance.

MEASUREMENTS

Six claims-based utilization measures, plus total health care expenditures. We employ hierarchical clustering to organize practices into groups based on their PCMH capabilities, then use generalized difference-in-differences models with practice or patient fixed effects to estimate the effect of PCMH recognition (overall and separately by the groups identified by the clustering algorithm) on utilization.

RESULTS

PCMH adoption was associated with a >8% reduction in total expenditures. We find significant reductions in emergency department utilization and outpatient care, and both lab and imaging services. In our by-group results we find that while the reduction in outpatient care is significant across all 3 groups, the reduction in emergency department utilization is driven entirely by 1 group with enhanced electronic communications.

CONCLUSION

The PCMH model has significant impact on patterns of health care utilization, especially when heterogeneity in implementation is accounted for in program evaluation.

Organizational integration, practice capabilities, and outcomes in clinically complex medicare beneficiaries

OBJECTIVE

To assess the association between clinical integration and financial integration, quality-focused care delivery processes, and beneficiary utilization and outcomes.

DATA SOURCES

Multiphysician practices in the 2017-2018 National Survey of Healthcare Organizations and Systems (response rate 47%) and 2017 Medicare claims data.

STUDY DESIGN

Cross-sectional study of Medicare beneficiaries attributed to physician practices, focusing on two domains of integration: clinical (coordination of patient services, use of protocols, individual clinician measures, access to information) and financial (financial management and planning across operating units). We examined the association between integration domains, the adoption of quality-focused care delivery processes, beneficiary utilization and health-related outcomes, and price-adjusted spending using linear regression adjusting for practice and beneficiary characteristics, weighting to account for sampling and nonresponse.

DATA COLLECTION/EXTRACTION METHODS

1 604 580 fee-for-service Medicare beneficiaries aged 66 or older attributed to 2113 practices. Of these, 414 209 beneficiaries were considered clinically complex (frailty or 2 + chronic conditions).

PRINCIPAL FINDINGS

Financial integration and clinical integration were weakly correlated (correlation coefficient = 0.19). Clinical integration was associated with significantly greater adoption of quality-focused care delivery processes, while financial integration was associated with lower adoption of these processes. Integration was not generally associated with reduced utilization or better beneficiary-level health-related outcomes, but both clinical integration and financial integration were associated with lower spending in both the complex and noncomplex cohorts: (clinical complex cohort: -$2518, [95% CI: -3324, -1712]; clinical noncomplex cohort: -$255 [95% CI: -413, -97]; financial complex cohort: -$997 [95% CI: -$1320, -$679]; and financial noncomplex cohort: -$143 [95% CI: -210, -$76]).

CONCLUSIONS

Higher levels of financial integration were not associated with improved care delivery or with better health-related beneficiary outcomes. Nonfinancial forms of integration deserve greater attention, as practices scoring high in clinical integration are more likely to adopt quality-focused care delivery processes and have greater associated reductions in spending in complex patients.

Understanding how health systems facilitate primary care redesign

OBJECTIVE

To understand how health systems are facilitating primary care redesign (PCR), examine the PCR initiatives taking place within systems, and identify barriers to this work.

STUDY SETTING

A purposive sample of 24 health systems in 4 states.

STUDY DESIGN

Data were systematically reviewed to identify how system leaders define and implement initiatives to redesign primary care delivery and identify challenges. Researchers applied codes which were based on the theoretical PCR literature and created new codes to capture emerging themes. Investigators analyzed coded data then produced and applied a thematic analysis to examine how health systems facilitate PCR.

DATA COLLECTION

Semi-structured telephone interviews with 162 system executives and physician organization leaders from 24 systems.

PRINCIPAL FINDINGS

Leaders at all 24 health systems described initiatives to redesign the delivery of primary care, but many were in the early stages. Respondents described the use of centralized health system resources to facilitate PCR initiatives, such as regionalized care coordinators, and integrated electronic health records. Team-based care, population management, and care coordination were the most commonly described initiatives to transform primary care delivery. Respondents most often cited improving efficiency and enhancing clinician job satisfaction, as motivating factors for team-based care. Changes in payment and risk assumption as well as community needs were commonly cited motivators for population health management and care coordination. Return on investment and the slower than anticipated rate in moving from fee-for-service to value-based payment were noted by multiple respondents as challenges health systems face in redesigning primary care.

CONCLUSIONS

Given their expanding role in health care and the potential to leverage resources, health systems are promising entities to promote the advancement of PCR. Systems demonstrate interest and engagement in this work but face significant challenges in getting to scale until payment models are in alignment with these efforts.

Care integration within and outside health system boundaries

OBJECTIVE

Examine care integration-efforts to unify disparate parts of health care organizations to generate synergy across activities occurring within and between them-to understand whether and at which organizational level health systems impact care quality and staff experience.

DATA SOURCES

Surveys administered to one practice manager (56/59) and up to 26 staff (828/1360) in 59 practice sites within 24 physician organizations within 17 health systems in four states (2017-2019).

STUDY DESIGN

We developed manager and staff surveys to collect data on organizational, social, and clinical process integration, at four organizational levels: practice site, physician organization, health system, and outside health systems. We analyzed data using descriptive statistics and regression.

PRINCIPAL FINDINGS

Managers and staff perceived opportunity for improvement across most types of care integration and organizational levels. Managers/staff perceived little variation in care integration across health systems. They perceived better care integration within practice sites than within physician organizations, health systems, and outside health systems-up to 38 percentage points (pp) lower (P < .001) outside health systems compared to within practice sites. Of nine clinical process integration measures, one standard deviation (SD) (7.2-pp) increase in use of evidence-based care related to 6.4-pp and 8.9-pp increases in perceived quality of care by practice sites and health systems, respectively, and a 4.5-pp increase in staff job satisfaction; one SD (9.7-pp) increase in integration of social services and community resources related to a 7.0-pp increase in perceived quality of care by health systems; one SD (6.9-pp) increase in patient engagement related to a 6.4-pp increase in job satisfaction and a 4.6-pp decrease in burnout; and one SD (10.6-pp) increase in integration of diabetic eye examinations related to a 5.5-pp increase in job satisfaction (all P < .05).

CONCLUSIONS

Measures of clinical process integration related to higher staff ratings of quality and experience. Action is needed to improve care integration within and outside health systems.

Overcoming Challenges to Evidence-Based Policy Development in a Large, Integrated Delivery System

OBJECTIVE

To describe a new Veterans Health Administration (VHA) program to foster the learning health system paradigm by rigorously evaluating health care initiatives and to report key lessons learned in designing those evaluations.

PRINCIPAL FINDINGS

The VHA's Quality Enhancement Research Initiative and its Health Services Research and Development Service are cooperating on several large, randomized program evaluations aimed at improving the care veterans receive and the efficiency with which it is delivered. The evaluations we describe involve collaborative design, outcomes assessment, and implementation science through partnerships between VHA operations and researchers. We review key factors to assess before committing to an evaluation. In addition to traditional design issues (such as ensuring adequate power and availability of data), these include others that are easily overlooked: the stability of intervention financing, means of controlling and commitment to adhering to randomized roll-out, degree of buy-in from key implementation staff, and feasibility of managing multiple veto points for interventions that span several programs, among others.

CONCLUSIONS

Successful program implementation and rigorous evaluation require resources, specialized expertise, and careful planning. If the learning health system model is to be sustained, organizations will need dedicated programs to prioritize resources and continuously adapt evaluation designs.

Comparison of Approaches for Aggregating Quality Measures in Population-based Payment Models

OBJECTIVE

To assess the impact of alternative methods of aggregating individual quality measures on Accountable Care Organization (ACO) overall scores.

DATA SOURCE

2014 quality scores for Medicare ACOs.

STUDY DESIGN

We compare ACO overall scores derived using CMS' aggregation approach to those derived using alternative approaches to grouping and weighting measures.

PRINCIPAL FINDINGS

Alternative grouping and weighting methods based on statistical criteria produced overall quality scores similar to those produced using CMS' approach (κ = 0.80 to 0.95). Scores derived from giving specific domains greater weight were less similar (κ = 0.51 to 0.93).

CONCLUSIONS

How measures are grouped into domains and how these domains are weighted to generate overall scores can have important implications for ACO's shared savings payments.

Spending per Medicare Beneficiary Is Higher in Hospital-Owned Small- and Medium-Sized Physician Practices

OBJECTIVE

To examine the relationship of physician versus hospital ownership of small- and medium-sized practices with spending and utilization of care.

DATA SOURCE/STUDY SETTING/DATA COLLECTION

Survey data for 1,045 primary care-based practices of 1-19 physicians linked to Medicare claims data for 2008 for 282,372 beneficiaries attributed to the 3,010 physicians in these practices.

STUDY DESIGN

We used generalized linear models to estimate the associations between practice characteristics and outcomes (emergency department visits, index admissions, readmissions, and spending).

PRINCIPAL FINDINGS

Beneficiaries linked to hospital-owned practices had 7.3 percent more emergency department visits and 6.4 percent higher total spending compared to beneficiaries linked to physician-owned practices.

CONCLUSIONS

Physician practices are increasingly being purchased by hospitals. This may result in higher total spending on care.

Seasonality and Readmission after Heart Failure, Myocardial Infarction, and Pneumonia

OBJECTIVE

To investigate whether hospital readmission after admission for heart failure (HF), myocardial infarction (MI), and pneumonia varies by season.

DATA SOURCES

All patients in 2005-2009 Healthcare Cost and Utilization Project State Inpatient Databases for New York and California hospitalized for HF, MI, or pneumonia.

STUDY DESIGN

The relationship between discharge season and unplanned readmission within 30 days was evaluated using multivariate modified Poisson regression.

PRINCIPAL FINDINGS

Cohorts included 869,512 patients with HF, 448,945 patients with MI, and 813,593 patients with pneumonia. While admissions varied widely by season, readmission rates only ranged from 25.0 percent (spring) to 25.6 percent (winter) for HF (p > .05), 18.9 percent (summer) to 20.0 percent (winter) for MI (p < .001), and 19.4 percent (spring) to 20.3 percent (summer) for pneumonia (p < .001). In adjusted models, in New York, there was lower readmission in spring and fall (RR: 0.98, 95% CI: 0.96-0.99 for both) after admission for HF and higher readmission in spring (RR: 1.04, 95% CI: 1.01-1.07) after MI. In California, there was lower readmission in spring and winter (RR: 0.95, 95% CI: 0.93-0.96 and RR: 0.96, 95% CI: 0.94-0.98, respectively) after pneumonia.

CONCLUSIONS

Given marked seasonality in incidence and mortality of HF, MI, and pneumonia, the modest seasonality in readmissions suggests that readmissions may be more related to non-seasonally dependent factors than to the seasonal nature of these diseases.

The Changing Roles of Community Health Workers

OBJECTIVE

To examine what different types of employers value in hiring community health workers (CHWs) and determine what new competencies CHWs might need to meet workforce demands in the context of an evolving payment landscape and substantial literature suggesting that CHWs are uniquely qualified to address health disparities.

STUDY DESIGN

We used a multimethod approach, including a literature review, development of a database of 76 programs, interviews with 24 key informants, and a qualitative comparison of major CHW competency lists.

PRINCIPAL FINDINGS

We find a shift in CHW employment settings from community-based organizations to hospitals/health systems. Providers that hire CHWs directly, as opposed to partnering with community organizations, report that they value education and training more highly than traditional characteristics, such as peer status. We find substantial similarities across competency lists, but a gap in competencies that relate to CHWs' ability to integrate into health systems while maintaining their unique identity.

CONCLUSIONS

As CHW integration into health care organizations advances, and as states move forward with CHW certification efforts, it is important to develop new competencies that relate to CHW-health system integration. Chief among them is the ability to explain and defend the CHW's unique occupational identity.

Do People with Health Insurance Coverage Who Live in Areas with High Uninsurance Rates Pay More for Emergency Department Visits?

OBJECTIVE

To investigate the relationship between the percent uninsured in a county and expenditures associated with the typical emergency department visit.

DATA SOURCES

The Medical Expenditure Panel Survey linked to county-level data from the American Community Survey, the Healthcare Cost and Utilization Project, and the Area Health Resources Files.

STUDY DESIGN

We use a nationally representative sample of emergency department visits that took place between 2009 and 2013 to estimate the association between the percent uninsured in counties and the amount paid for a typical visit. Final estimates come from a diagnosis-level fixed-effects model, with additional controls for a wide variety of visit, individual, and county characteristics.

PRINCIPAL FINDINGS

Among those with private insurance, we find that an increase of 1 percentage point in the county uninsurance rate is associated with a $20 increase in the mean emergency department payment. No such association is observed among visits covered by other insurance types.

CONCLUSIONS

Results provide tentative evidence that the costs associated with high uninsurance rates spill over to those with insurance, but future research needs to replicate these findings with longitudinal data and methods before drawing causal conclusions. Recent data on changes in area uninsurance rates following the ACA's insurance expansions and subsequent changes in emergency department expenditures afford a valuable opportunity to do this.

Geography, Not Health System Affiliations, Determines Patients' Revisits to the Emergency Department

OBJECTIVES

To determine how frequently patients revisit the emergency department after an initial encounter, and to describe revisit capture rates for the same hospital, health system, and geographic region.

DATA SOURCES/STUDY SETTING

Florida state data from January 1, 2010, to June 30, 2011, from the Healthcare Cost and Utilization Project.

STUDY DESIGN

This is a retrospective cohort study of emergency department return visits among Florida adults over an 18-month period. We evaluated pairs of index and 30-day return emergency department visits and compared capture rates for hospital, health system, and geographic units.

DATA COLLECTION/EXTRACTION METHODS

Data were obtained from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project and the American Hospital Association Annual Survey Database.

PRINCIPAL FINDINGS

Among 9,416,212 emergency department visits, 22.6 percent (2,124,441) were associated with a 30-day return. Seventy percent (1,477,772) of 30-day returns occurred to the same hospital. The 30-day return capture rates were highest within the same geographic area: county-level capture at 92 percent (IQR=86-96 percent) versus health system capture at 75 percent (IQR = 68-81 percent).

CONCLUSIONS

Acute care utilization patterns are often independent of health system boundaries. Current population-based health care models that attribute patients to a single provider or health system may be strengthened by considering geographic patterns of acute care utilization.

Associations Between Practice Characteristics and Demonstration of Stage 1 Meaningful Use for the Electronic Health Record Incentive Program

BACKGROUND

The Medicare and Medicaid meaningful use (MU) incentive programs promote adoption and "meaningful use" of certified electronic health records among hospitals and eligible providers in outpatient settings, with a goal of improving the quality of patient care. Despite the potential importance of MU for providers and patients, little is currently known about the practice characteristics that facilitate providers' demonstration of MU. This study examined whether selected practice characteristics were associated with providers' meeting Stage 1 MU objectives at the end of 1 year in a single large North Carolina integrated delivery system.

METHODS

Our retrospective database analysis included all 702 eligible providers from 54 ambulatory care practices on the main campus of the University of North Carolina Health Care System. We assessed associations between providers' ability to meet Stage 1 MU objectives as of December 2012 and the following practice characteristics: practice specialty, size, and mix of Medicare- and Medicaid-eligible providers.

RESULTS

The following practice characteristics were associated with providers' ability to meet MU objectives: primary care practices as compared to specialty practices (odds ratio [OR] = 2.49; 95% CI, 1.11-5.62), small practices as compared to medium-sized practices (OR = 0.29; 95% CI, 0.09-0.89), and the presence of only Medicare-eligible providers in the practice as compared to the presence of only Medicaid-eligible providers (OR = 6.48; 95% Cl, 1.08-38.97).

LIMITATIONS

Because our sample was drawn from a single integrated delivery system, results may not be generalizable to all ambulatory practice settings.

CONCLUSIONS

This study suggests that larger practices, primary care practices, and practices comprised of Medicare-eligible providers may be better able to meet MU objectives. Further research is needed to evaluate strategies that account for practice characteristics and other contextual factors in the MU implementation process.

Do provider service networks result in lower expenditures compared with HMOs or primary care case management in Florida's Medicaid program?

OBJECTIVE

To determine the impact of Florida's Medicaid Demonstration 4 years post-implementation on per member per month (PMPM) Medicaid expenditures and whether receiving care through HMOs versus provider service networks (PSNs) in the Demonstration was associated with PMPM expenditures.

DATA

Florida Medicaid claims from two fiscal years prior to implementation of the Demonstration (FY0405, FY0506) and the first four fiscal years after implementation (FY0607-FY0910) from two urban Demonstration counties and two urban non-Demonstration counties.

STUDY DESIGN

A difference-in-difference approach was used to compare changes in enrollee expenditures before and after implementation of the Demonstration overall and specifically for HMOs and PSNs.

DATA EXTRACTION

Claims data were extracted for enrollees in the Demonstration and non-Demonstration counties and collapsed into monthly amounts (N = 26,819,987 person-months).

PRINCIPAL FINDINGS

Among SSI enrollees, the Demonstration resulted in lower increases in PMPM expenditures over time ($40) compared with the non-Demonstration counties ($186), with Demonstration PSNs lowering PMPM expenditures by $7 more than HMOs. Savings were also seen among TANF enrollees but to a lesser extent.

CONCLUSIONS

The Medicaid Demonstration in Florida appears to result in lower PMPM expenditures. Demonstration PSNs generated slightly greater reductions in expenditures compared to Demonstration HMOs. PSNs appear to be a promising model for delivering care to Medicaid enrollees.

Variation in the implementation of California's Full Service Partnerships for persons with serious mental illness

OBJECTIVE

This study examined variation in the implementation of California's Full Service Partnerships (FSPs), which are supported housing programs that do "whatever it takes" to improve outcomes among persons with serious mental illness who are homeless or at risk of homelessness.

DATA SOURCES/SETTING

Ninety-three FSPs in California.

STUDY DESIGN

A mixed methods approach was selected to develop a better understanding of the complexity of the FSP programs. The design structure was a combined explanatory and exploratory sequential design (qual→QUAN→qual) where a qualitative focus group was used to develop a quantitative survey that was followed by qualitative site visits. The survey was used to describe the breadth of variation based on fidelity to the Housing First model, while the site visits were used to provide a depth of information on high- versus low-fidelity programs.

PRINCIPAL FINDINGS

We found substantial variation in implementation among FSPs. Fidelity was particularly low along domains related with housing and service philosophy, indicating that many FSPs implemented a rich array of services but applied housing readiness requirements and did not adhere to consumer choice in housing.

CONCLUSIONS

There remains room for improvement in the recovery-orientation of FSPs. Fortunately, we have identified several processes by which program managers and counties can increase the fidelity of their programs.

Effect of hospital-SNF referral linkages on rehospitalization

OBJECTIVE

To determine whether the rate of rehospitalization is lower among patients discharged to skilled nursing facilities (SNFs) with which a hospital has a strong linkage.

DATA SOURCES/COLLECTION

We used national Medicare enrollment, claims, and the Minimum Data Set to examine 2.8 million newly discharged patients to 15,063 SNFs from 2,477 general hospitals between 2004 and 2006.

STUDY DESIGN

We examined the relationship between the proportion of discharges from a hospital and alternative SNFs on the rehospitalization of patients treated by that hospital-SNF pair using an instrumental variable approach. We used distances to alternative SNFs from residence of the patients of the originating hospital as the instrument.

PRINCIPAL FINDINGS

Our estimates suggest that if the proportion of a hospital's discharges to an SNF was to increase by 10 percentage points, the likelihood of patients treated by that hospital-SNF pair to be rehospitalized within 30 days would decline by 1.2 percentage points, largely driven by fewer rehospitalizations within a week of hospital discharge.

CONCLUSIONS

Stronger hospital-SNF linkages, independent of hospital ownership, were found to reduce rehospitalization rates. As hospitals are held accountable for patients' outcomes postdischarge under the Affordable Care Act, hospitals may steer their patients preferentially to fewer SNFs.

The relative contribution of patient, provider and organizational influences to the appropriate diagnosis and management of diabetes mellitus

OBJECTIVE

To estimate the relative contribution of patient attributes, provider characteristics and organizational features of the doctors' workplace to the diagnosis and management of diabetes.

RESEARCH DESIGN AND METHODS

In a factorial experimental design doctors (n = 192) viewed clinically authentic vignettes of 'patients' presenting with identical signs and symptoms. Doctor subjects were primary care doctors stratified according to gender and level of experience. During an in-person interview scheduled between real patients, doctors were asked how they would diagnosis and manage the vignette 'patients' in clinical practice.

RESULTS

This study considered the relative contribution of patient, doctor and organizational factors. Taken together patient attributes explained only 4.4% of the variability in diabetes diagnosis. Doctor factors explained only 2.0%. The vast majority of the explained variance in diabetes diagnosis was due to organizational factors (14.3%). Relative contributions combined (patient, provider, organizational factors) explained only 20% of the total variance.

CONCLUSION

Attempts to reduce health care variations usually focus on the education/activation of patients, or increased training of doctors. Our findings suggest that shifting quality improvement efforts to the area which contributes most to the creation and amplification of variations (organizational influences) may produce better results in terms of reduced variations in health care associated with diabetes.

Viewing health care delivery as science: challenges, benefits, and policy implications

The need for health services research is likely to rise rapidly as the population ages, health care costs soar, and therapeutic and diagnostic choices proliferate. Building an effective and efficient health care delivery system is a national priority. Yet the national health care quality report concludes that we lack the ability to monitor progress toward even basic quality and patient safety goals effectively. The gap between the need to improve and our ability to do so exists in part because we fail to view the delivery of health care as science, we lack national improvement priorities, and we lack a national infrastructure to achieve our stated goals. We discuss key challenges implicit in correcting these failures and recommend actions to expedite progress.

Data and methods to facilitate delivery system reform: harnessing collective intelligence to learn from positive deviance

Researchers often focus on the data and methods to assess policy changes, but data and methods can also be policy tools. To improve, health care systems need mechanisms and incentives for continually gathering, assessing, and acting on data. This requires (1) more comprehensive data, (2) converting data into information, and (3) incentives to apply that information. Restructured economic incentives can encourage clinicians to increase value (higher quality and/or lower cost) for their patients. While necessary, incentives are not sufficient-information is also needed. Incentives can lead clinicians to demand better information. Much of the necessary data is already used in patient care and billing; some additional variables will come directly from patients. The notion builds on two concepts: collective intelligence and positive deviance. The former characterizes knowledge gained from observing the behavior of many independent actors adapting to changing situations. Positive deviants are those who achieve far better results than expected. By rewarding positive deviants, rather than trying to identify and "correct" those who are problematic, providers will voluntarily identify themselves and their methods for achieving superior outcomes.

Evaluation of the AHRQ patient safety initiative: synthesis of findings

OBJECTIVE

To present overall findings from the 4-year evaluation of the national patient safety initiative operated by the Agency for Healthcare Research and Quality (AHRQ).

DATA SOURCES

Interviews with AHRQ staff, grantees, and other patient safety stakeholders; published materials; and internal AHRQ documents.

STUDY DESIGN

The evaluation was structured to address a system framework of five components involved in improving safety. The initiative's contributions to improving each system component were assessed qualitatively, comparing results from three separate analyses—AHRQ's achievement of its patient safety goals, our own assessment of the initiative's activities, and independent stakeholder ratings of AHRQ's contributions.

FINDINGS AND CONCLUSIONS

AHRQ has faced a daunting challenge for improving patient safety, given the complex problems of the U.S. health care system and the limited resources AHRQ has had to address them. The patient safety initiative achieved strongest progress for its contributions to knowledge of patient safety epidemiology and effective practices, where AHRQ has considerable experience, and to strengthening infrastructure to support adoption of safe practices. Progress was slower in establishing a national monitoring capability and dissemination of safe practices for adoption. AHRQ needs to expand efforts to apply new knowledge for stimulating use of safe practices in the field.