Rural Veterans' Experiences with Social Risk Factors: Impacts, Challenges, and Care System Recommendations

BACKGROUND

Social risk factors, such as food insecurity and financial needs, are associated with increased risk of cardiovascular diseases, health conditions that are highly prevalent in rural populations. A better understanding of rural Veterans' experiences with social risk factors can inform expansion of Veterans Health Administration (VHA) efforts to address social needs.

OBJECTIVE

To examine social risk and need from rural Veterans' lived experiences and develop recommendations for VHA to address social needs.

DESIGN

We conducted semi-structured interviews with participants purposively sampled for racial diversity. The interview guide was informed by Andersen's Behavioral Model of Health Services Use and the Outcomes from Addressing Social Determinants of Health in Systems framework.

PARTICIPANTS

Rural Veterans with or at risk of cardiovascular disease who participated in a parent survey and agreed to be recontacted.

APPROACH

Interviews were recorded and transcribed. We analyzed transcripts using directed qualitative content analysis to identify themes.

KEY RESULTS

Interviews (n = 29) took place from March to June 2022. We identified four themes: (1) Social needs can impact access to healthcare, (2) Structural factors can make it difficult to get help for social needs, (3) Some Veterans are reluctant to seek help, and (4) Veterans recommended enhancing resource dissemination and navigation support.

CONCLUSIONS

VHA interventions should include active dissemination of information on social needs resources and navigation support to help Veterans access resources. Community-based organizations (e.g., Veteran Service Organizations) could be key partners in the design and implementation of future social need interventions.

Relationship Between Unmet Social Needs and Care Access in a Veteran Cohort

BACKGROUND

The association between unmet social needs (e.g., food insecurity) and adverse health outcomes is well-established, especially for patients with and at risk for cardiovascular disease (CVD). This has motivated healthcare systems to focus on unmet social needs. Yet, little is known about the mechanisms by which unmet social needs impact health, which limits healthcare-based intervention design and evaluation. One conceptual framework posits that unmet social needs may impact health by limiting care access, but this remains understudied.

OBJECTIVE

Examine the relationship between unmet social needs and care access.

DESIGN

Cross-sectional study design using survey data on unmet needs merged with administrative data from the Veterans Health Administration (VA) Corporate Data Warehouse (September 2019-March 2021) and multivariable models to predict care access outcomes. Pooled and separate rural and urban logistic regression models were utilized with adjustments from sociodemographics, region, and comorbidity.

SUBJECTS

A national stratified random sample of VA-enrolled Veterans with and at risk for CVD who responded to the survey.

MAIN MEASURES

No-show appointments were defined dichotomously as patients with one or more missed outpatient visits. Medication non-adherence was measured as proportion of days covered and defined dichotomously as adherence less than 80%.

KEY RESULTS

Greater burden of unmet social needs was associated with significantly higher odds of no-show appointments (OR = 3.27, 95% CI = 2.43, 4.39) and medication non-adherence (OR = 1.59, 95% CI = 1.19, 2.13), with similar associations observed for rural and urban Veterans. Social disconnection and legal needs were especially strong predictors of care access measures.

CONCLUSIONS

Findings suggest that unmet social needs may adversely impact care access. Findings also point to specific unmet social needs that may be especially impactful and thus might be prioritized for interventions, in particular social disconnection and legal needs.

Using the Kitagawa Decomposition to Measure Overall-and Individual Facility Contributions to-Within-facility and Between-facility Differences: Analyzing Racial and Ethnic Wait Time Disparities in the Veterans Health Administration

BACKGROUND

Identifying whether differences in health care disparities are due to within-facility or between-facility differences is key to disparity reductions. The Kitagawa decomposition divides the difference between 2 means into within-facility differences and between-facility differences that are measured on the same scale as the original disparity. It also enables the identification of facilities that contribute most to within-facility differences (based on facility-level disparities and the proportion of patient population served) and between-facility differences.

OBJECTIVES

Illustrate the value of a 2-stage Kitagawa decomposition to partition a disparity into within-facility and between-facility differences and to measure the contribution of individual facilities to each type of difference.

SUBJECTS

Veterans receiving a new outpatient consult for cardiology or orthopedic services during fiscal years 2019-2021.

MEASURES

Wait time for a new-patient consult.

METHODS

In stage 1, we predicted wait time for each Veteran from a multivariable model; in stage 2, we aggregated individual predictions to determine mean adjusted wait times for Hispanic, Black, and White Veterans and then decomposed differences in wait times between White Veterans and each of the other groups.

RESULTS

Noticeably longer wait times were experienced by Hispanic Veterans for cardiology (2.32 d, 6.8% longer) and Black Veterans for orthopedics (3.49 d, 10.3% longer) in both cases due entirely to within-facility differences. The results for Hispanic Veterans using orthopedics illustrate how positive within-facility differences (0.57 d) can be offset by negative between-facility differences (-0.34 d), resulting in a smaller overall disparity (0.23 d). Selecting 10 facilities for interventions in orthopedics based on the largest contributions to within-in facility differences instead of the largest disparities resulted in a higher percentage of Veterans impacted (31% and 12% of Black and White Veterans, respectively, versus 9% and 10% of Black and White Veterans, respectively) and explained 21% of the overall within-facility difference versus 11%.

CONCLUSIONS

The Kitagawa approach allows the identification of disparities that might otherwise be undetected. It also allows the targeting of interventions at those facilities where improvements will have the largest impact on the overall disparity.

Disparities in Wait Times for Care Among US Veterans by Race and Ethnicity

Importance

Prior studies indicate that Black and Hispanic vs White veterans wait longer for care. However, these studies do not capture the COVID-19 pandemic, which caused care access disruptions, nor implementation of the US Department of Veterans Affairs (VA) Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION), which is intended to improve care access by increasing veterans' options to use community clinicians.

Objective

To determine whether wait times increased differentially for Black and Hispanic compared with White veterans from the pre-COVID-19 to COVID-19 periods given concurrent MISSION implementation.

Design, Setting, and Participants

This cross-sectional study used data from the VA's Corporate Data Warehouse for fiscal years 2019 to 2021 (October 1, 2018, to September 30, 2021). Participants included Black, Hispanic, and White veterans with a new consultation for outpatient cardiology and/or orthopedic services during the study period. Multivariable mixed-effects models were used to estimate individual-level adjusted wait times and a likelihood ratio test of the significance of wait time disparity change over time.

Main Outcomes and Measures

Overall mean wait times and facility-level adjusted relative mean wait time ratios.

Results

The study included 1 162 148 veterans (mean [SD] age, 63.4 [14.4] years; 80.8% men). Significant wait time disparities were evident for orthopedic services (eg, Black veterans had wait times 2.09 [95% CI, 1.57-2.61] days longer than those for White veterans) in the pre-COVID-19 period, but not for cardiology services. Mean wait times increased from the pre-COVID-19 to COVID-19 periods for both services for all 3 racial and ethnic groups (eg, Hispanic wait times for cardiology services increased 5.09 [95% CI, 3.62-6.55] days). Wait time disparities for Black veterans (4.10 [95% CI, 2.44-5.19] days) and Hispanic veterans (4.40 [95% CI, 2.76-6.05] days) vs White veterans (3.75 [95% CI, 2.30-5.19] days) increased significantly from the pre-COVID-19 to COVID-19 periods (P < .001). During the COVID-19 period, significant disparities were evident for orthopedic services (eg, mean wait times for Hispanic vs White veterans were 1.98 [95% CI, 1.32-2.64] days longer) but not for cardiology services. Although there was variation in wait time ratios across the 140 facilities, only 6 facility wait time ratios were significant during the pre-COVID-19 period and 26 during the COVID-19 period.

Conclusions and Relevance

These findings suggest that wait time disparities increased from the pre-COVID-19 to COVID-19 periods, especially for orthopedic services for both Black and Hispanic veterans, despite MISSION's goal to improve access. Facility-level analyses identified potential sites that could be targeted to reduce disparities.

Interaction between Legal and Social Needs in Their Association with Self-rated Health in a National Sample of Veterans

Many health-related social needs, such as financial insecurity, are interconnected with legal needs. However, little is known about which social needs are more likely to be associated with legal needs, or whether legal and other needs interact to affect health. Using data from a 2020 national mailed survey assessing social needs among Veterans who had or were at risk for cardiovascular disease (N=2,801) and linked administrative data, linear regression models tested interactions between legal and other social needs, and their associations with self-rated health. In a model examining the interaction of financial and legal needs, experiencing financial but not legal needs was as strongly associated with worse health (b=-0.58, 95% CI -0.69, -0.46) as experiencing both financial and legal needs (b= -0.55, 95% CI -0.70, -0.40). Financial needs are important to Veterans' health and further research is needed to determine how financial and legal needs should be triaged by providers.

Uptake of hepatitis C virus treatment in a multi-state Medicaid population, 2013-2017

OBJECTIVE

To examine trends in the direct acting antiviral (DAA) uptake in a multi-state Medicaid population with hepatitis C virus (HCV) prior to and after ledipasvir/sofosbuvir (LDV/SOF) approval and changes in prior authorization (PA) requirements.

DATA SOURCES

Analyses utilized enrollment, medical, and pharmacy claims in four states, December 2013-December 2017.

STUDY DESIGN

An interrupted time series examined trends in uptake (1+ claim for a DAA) before and after two events: LDV/SOV approval (October 2014) and lifting of PA requirements for 40% of members (July 2016). Analyses were also performed in subgroups defined by the number and dates of change in PA requirements in members' Medicaid plans.

DATA COLLECTION/EXTRACTION METHODS

Members aged 18-64 years with an ICD code for HCV were included in the sample from diagnosis date until treatment initiation or Medicaid disenrollment.

PRINCIPAL FINDINGS

The annual sample size ranged from 38,302 to 45,005 with approximately 30% ages 18-34 years and 40% female. In December 2013, 0.08% was treated, rising to 0.74% in December 2017 (p < 0.001). Uptake increased from 0.34%/month in October 2014 to 0.70%/month after LDV/SOF approval, (p < 0.001), and increased relative to the pre-LDV/SOV trend through June 2016 (p = 0.04). Uptake increased to 1.18%/month after PA change, (p < 0.001) and remained flat through 2017 (p = 0.64). Cumulatively, 20.1% were treated by December 2017. In plans with few/no requirements through 2017, uptake increased to 1.19%/month after LDV/SOF approval (p < 0.001) and remained flat through 2017 (p = 0.11), with 22.2% cumulatively treated. Among plans that lifted PA requirements from three to zero in mid-2016, uptake did not increase after LDV/SOF approval (p = 0.36) but did increase to 1.41%/month (p < 0.001) after PA change, with 18.1% cumulatively treated.

CONCLUSIONS

HCV Treatment increased through 2017. LDV/SOF approval and lifting PA requirements led to an increase in uptake followed by flat monthly utilization. Cumulative uptake was higher in plans with few/no PA requirements relative to those with three requirements through mid-2016.

Medicaid Expansion and Change in Federally Qualified Health Center Accessibility From 2008 to 2016

BACKGROUND

The Affordable Care Act expanded health coverage for low-income residents through Medicaid expansion and increased funding for Health Center Program New Access Points from 2009 to 2015, improving federally qualified health center (FQHC) accessibility. The extent to which these provisions progressed synergistically as intended when states could opt out of Medicaid expansion is unknown.

OBJECTIVE

To compare change in FQHC accessibility among census tracts in Medicaid expansion and nonexpansion states.

RESEARCH DESIGN

Tract-level FQHC accessibility scores for 2008 and 2016 were estimated applying the 2-step floating catchment area method to American Community Survey and Health Resources and Services Administration data. Multivariable linear regression compared changes in FQHC accessibility between tracts in Medicaid expansion and nonexpansion states, adjusting for sociodemographic and health system factors and accounting for state-level clustering.

SUBJECTS

In total, 7058 census tracts across 10 states.

RESULTS

FQHC accessibility increased comparably among tracts in Medicaid expansion and nonexpansion states (coef: 0.3; 95% CI: -0.3, 0.8; P -value: 0.36). FQHC accessibility increased more in tracts with higher poverty and uninsured rates, and those with lower proportions of non-English speakers and Black or African American residents.

CONCLUSION

Similar gains in FQHC accessibility across Medicaid expansion and nonexpansion states indicate improvements progressed independently from Medicaid expansion, rather than synergistically as expected. Accessibility increases appeared consistent with HRSA's goal to improve access for individuals experiencing economic barriers to health care but not for those experiencing cultural or language barriers to health care.

Randomised controlled trial evaluating the effects of screening and referral for social determinants of health on Veterans' outcomes: protocol

INTRODUCTION

Health policy leaders recommend screening and referral (S&R) for unmet social needs (eg, food) in clinical settings, and the American Heart Association recently concluded that the most significant opportunities for reducing cardiovascular disease (CVD) death and disability lie with addressing the social determinants of CVD outcomes. A limited but promising evidence base supports these recommendations, but more rigorous research is needed to guide health care-based S&R efforts. Funded by the Veteran Health Administration (VA), the study described in this paper will assess the efficacy of S&R on Veterans' connections to new resources to address social needs, reduction of unmet needs and health-related outcomes (adherence, utilisation and clinical outcomes).

METHODS AND ANALYSIS

We will conduct a 1-year mixed-methods randomised controlled trial at three VA sites, enrolling Veterans with CVD and CVD-risk. 880 Veterans experiencing one or more social needs will be randomised within each site (n=293 per site) to one of three study arms representing referral mechanisms of varying intensity (screening only, screening and provision of resource sheet(s), screening and provision of resource sheet(s) plus social work assistance). For each Veteran, we will examine associations of unmet social needs with health-related outcomes at baseline, and longitudinally compare the impact of each approach on connection to new resources (primary outcome) and follow-up outcomes over a 12-month period. We will additionally conduct qualitative interviews with key stakeholders, including Veterans to identify potential explanatory factors related to the relative success of the interventions.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the VA Central Internal Review Board on 13 July 2021 (reference #: 20-07-Amendment No. 02). Findings will be disseminated through reports, lay summaries, policy briefs, academic publications, and conference presentations.

TRIAL REGISTRATION NUMBER

NCT04977583.

A Multi-site Case Study of Care Coordination Between Primary Care and Specialty Care

BACKGROUND

Care coordination is critical for patients with multiple chronic conditions, but fragmentation of care persists. Providers' perspectives of facilitators and barriers to coordination are needed to improve care.

OBJECTIVES

We sought to understand providers' perspectives on care coordination for patients having multiple chronic diseases served by multiple providers.

RESEARCH DESIGN

Based upon our earlier survey of patients with multiple chronic conditions, we selected 8 medical centers having high and low coordination. We interviewed providers to identify facilitators and barriers to coordination and compare them between patient-rated high sites and low sites and between primary care (PC)-mental health (MH) and PC-medical/surgical specialty care.

SUBJECTS

Physicians, nurses and other clinicians in PC, cardiology, and MH (N=102) in 8 Veterans Affairs medical centers.

RESULTS

We identified warm handoffs, professional relationships, and physical proximity as facilitators, and service agreements, reporting relationships and staffing as barriers. PC-MH coordination was reported as better than PC-medical/surgical specialty coordination. Facilitators were more prevalent and barriers less prevalent in sites rated high by patients than sites rated low, and between PC-MH than between PC-specialty care.

DISCUSSION

We noted that professional relationships were highly related to coordination and both affected other facilitators and barriers and were affected by them. We suggested actions to improve relationships directly, and to address other facilitators and barriers that affect relationships and coordination. Among these is the use of the Primary Care Mental Health Integration model.

Rural Veterans' Experiences With Outpatient Care in the Veterans Health Administration Versus Community Care

BACKGROUND

The 2014 Veterans Access, Choice and Accountability Act was intended to improve Veterans' access to timely health care by expanding their options to receive community care (CC) paid for by the Veterans Health Administration (VA). Although CC could particularly benefit rural Veterans, we know little about rural Veterans' experiences with CC.

OBJECTIVE

The objective of this study was to compare rural Veterans' experiences with CC and VA outpatient health care services to those of urban Veterans and examine changes over time.

RESEARCH DESIGN

Retrospective, cross-sectional study using data from the Survey of Healthcare Experiences of Patients (SHEP) and VA Corporate Data Warehouse. Subjects: All Veterans who responded to the SHEP survey in Fiscal Year (FY) 16 or FY19.

MEASURES

Outcomes were 4 measures of care experience (Access, Communication, Coordination, and Provider Rating). Independent variables included care setting (CC/VA), rural/urban status, and demographic and clinical characteristics.

RESULTS

Compared with urban Veterans, rural Veterans rated CC the same (for specialty care) or better (for primary care). Rural Veterans reported worse experiences in CC versus VA, except for specialty care Access. Rural Veterans' care experiences improved between FY16 and FY19 in both CC and VA, with greater improvements in CC.

CONCLUSIONS

Rural Veterans' reported comparable or better experiences in CC compared with urban Veterans, but rural Veterans' CC experiences still lagged behind their experiences in VA for primary care. As growing numbers of Veterans use CC, VA should ensure that rural and urban Veterans' experiences with CC are at least comparable to their experiences with VA care.

Did Access to Care Improve Since Passage of the Veterans Choice Act?: Differences Between Rural and Urban Veterans

BACKGROUND

The 2014 Veterans Choice Program aimed to improve care access for Veterans through expanded availability of community care (CC). Increased access to CC could particularly benefit rural Veterans, who often face obstacles in obtaining medical care at the Veterans Health Administration (VHA). However, whether Veterans Choice Program improved timely access to care for this vulnerable population is understudied.

OBJECTIVES

To examine wait times among rural and urban Veterans for 5 outpatient specialty care services representing the top requests for CC services among rural Veterans.

RESEARCH DESIGN

Retrospective study using VHA and CC outpatient consult data from VHA's Corporate Data Warehouse in Fiscal Year (FY) 2015 (October 1, 2014 to September 30, 2015) and FY2018 (October 1, 2017 to September 30, 2018).

SUBJECTS

All Veterans who received a new patient consult for physical therapy, cardiology, optometry, orthopedics, and/or dental services in VHA and/or CC.

MEASURES

Wait time, care setting (VHA/CC), rural/urban status, sociodemographics, and comorbidities.

RESULTS

Our sample included 1,112,876 Veterans. Between FY2015 and FY2018, mean wait times decreased for all services for both rural and urban Veterans; declines were greatest in VHA (eg, mean optometry wait times for rural Veterans in VHA vs. CC declined 8.3 vs. 6.4 d, respectively, P<0.0001). By FY2018, for both rural and urban Veterans, CC mean wait times for most services were longer than VHA wait times.

CONCLUSIONS

Timely care access for all Veterans improved between FY15 and FY18, particularly in VHA. As expansion of CC continues under the MISSION Act, more research is needed to evaluate quality of care across VHA and CC and what role, if any, wait times play.

Interorganizational Care Coordination of Rural Veterans by Veterans Affairs and Community Care Programs: A Systematic Review

BACKGROUND

In the unique context of rural Veterans' health care needs, expansion of US Department of Veterans Affairs and Community Care programs under the MISSION Act, and the uncertainties of coronavirus disease 2019 (COVID-19), it is critical to understand what may support effective interorganizational care coordination for increased access to high-quality care.

OBJECTIVES

We conducted a systematic review to examine the interorganizational care coordination initiatives that Veterans Affairs (VA) and community partners have pursued in caring for rural Veterans, including challenges and opportunities, organizational domains shaping care coordination, and among these, initiatives that improve or impede health care outcomes.

RESEARCH DESIGN

We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search 2 electronic databases (PubMed and Embase) for peer-reviewed articles published between January 2009 and May 2020. Building on prior research, we conducted a systematic review.

RESULTS

Sixteen articles met our criteria. Each captured a unique health care focus while examining common challenges. Four organizational domains emerged: policy and administration, culture, mechanisms, and relational practices. Exemplars highlight how initiatives improve or impede rural health care delivery.

CONCLUSIONS

This is the first systematic review, to our knowledge, examining interorganizational care coordination of rural Veterans by VA and Community Care programs. Results provide exemplars of interorganizational care coordination domains and program effectiveness. It suggests that partners' efforts to align their coordination domains can improve health care, with rurality serving as a critical contextual factor. Findings are important for policies, practices, and research of VA and Community Care partners committed to improving access and health care for rural Veterans.

Barriers and Facilitators to Implementation of Value-Based Care Models in New Medicaid Accountable Care Organizations in Massachusetts: A Study Protocol

Introduction: Massachusetts established 17 new Medicaid accountable care organizations (ACOs) and 24 affiliated Community Partners (CPs) in 2018 as part of a large-scale healthcare reform effort to improve care value. The new ACOs will receive $1.8 billion dollars in state and federal funding over 5 years through the Delivery System Reform Incentive Program (DSRIP). The multi-faceted study described in this protocol aims to address gaps in knowledge about Medicaid ACOs' impact on healthcare value by identifying barriers and facilitators to implementation and sustainment of the DSRIP-funded programs. Methods and analysis: The study's four components are: (1) Document Review to characterize the ACOs and CPs; (2) Semi-structured Key Informant Interviews (KII) with ACO and CP leadership, state-level Medicaid administrators, and patients; (3) Site visits with selected ACOs and CPs; and (4) Surveys of ACO clinical teams and CP staff. The Consolidated Framework for Implementation Research's (CFIR) serves as the study's conceptual framework; its versatile menu of constructs, arranged across five domains (Intervention Characteristics, Inner Setting, Outer Setting, Characteristics of Individuals, and Processes) guides identification of barriers and facilitators across multiple organizational contexts. For example, KII interview guides focus on understanding how Inner and Outer Setting factors may impact implementation. Document Review analysis includes extraction and synthesis of ACO-specific DSRIP-funded programs (i.e., Intervention Characteristics); KIIs and site visit data will be qualitatively analyzed using thematic analytic techniques; surveys will be analyzed using descriptive statistics (e.g., counts, frequencies, means, and standard deviations). Discussion: Understanding barriers and facilitators to implementing and sustaining Medicaid ACOs with varied organizational structures will provide critical context for understanding the overall impact of the Medicaid ACO experiment in Massachusetts. It will also provide important insights for other states considering the ACO model for their Medicaid programs. Ethics and dissemination: IRB determinations were that the overall study did not constitute human subjects research and that each phase of primary data collection should be submitted for IRB review and approval. Study results will be disseminated through traditional channels such as peer reviewed journals, through publicly available reports on the mass.gov website; and directly to key stakeholders in ACO and CP leadership.

Veterans Affairs and Rural Community Providers' Perspectives on Interorganizational Care Coordination: A Qualitative Analysis

OBJECTIVE

To investigate challenges in care coordination between US Department of Veterans Affairs (VA) clinics and community providers serving rural veterans.

METHODS

We completed qualitative interviews in 2017-2018 with a geographically diverse sample of 57 VA and community staff. Interviews were audio-recorded and transcribed verbatim. We used Rapid Qualitative Inquiry (RQI) to guide analyses.

RESULTS

Results suggested 5 pivotal domains related to interorganizational care coordination at these sites: organizational mechanisms; organizational culture; relational coordination; contextual factors; and the role of the third party administrators charged with management of scheduling and reimbursement of community services through recent legislation. Across these domains, strategies to bridge gaps between organizations (eg, contracts with third party administrators, development of VA-based community care offices, provision of boundary-spanning staff) at times exacerbated coordination challenges.

CONCLUSIONS

Steps taken to improve interorganizational care coordination between VA and community clinics may inadvertently complicate an already complex process. Our findings emphasize the importance of attending to key contextual barriers in coordinating care for rural veterans, and they illustrate the value of fundamental structural and relational approaches to enhancing such care coordination.

Addressing Social Determinants of Health Within Healthcare Delivery Systems: a Framework to Ground and Inform Health Outcomes

Social determinants of health (SDoH) are the conditions in which people live and work that shape access to essential social and economic resources. Calls for healthcare systems to intervene on unmet social needs have stimulated several large-scale initiatives across the country. Yet, such activities are underway in the absence of a unifying conceptual framework outlining the potential mechanisms by which healthcare-based unmet social need interventions can improve health outcomes. Drawing on theoretical foundations and empirical evidence about the relationship between unmet social needs and health, the authors developed the OASIS (Outcomes from Addressing SDoH in Systems) conceptual framework to map the known and hypothesized pathways by which unmet social need screening and referral interventions may impact outcomes. The OASIS framework may help guide policy makers, healthcare system leaders, clinicians, and researchers to utilize a more unified approach in their efforts to implement and evaluate unmet social need interventions and thus foster the development of an evidence base to inform healthcare systems to more effectively mitigate the consequences of unmet social needs. Adopting an overarching conceptual framework for addressing unmet social needs by healthcare systems holds promise for better achieving health equity and promoting health at the individual and population levels.

Collecting Social Determinants of Health Data in the Clinical Setting: Findings from National PRAPARE Implementation

BACKGROUND

The Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences (PRAPARE) is a nationally recognized standardized protocol that goes beyond medical acuity to account for patients' social determinants of health (SDH).

AIMS

We described the magnitude of patient SDH barriers at health centers.

METHODS

Health centers across three PRAPARE implementation cohorts collected and submitted PRAPARE data using a standardized data reporting template. We analyzed the scope and intensity of SDH barriers across the cohorts.

RESULTS

Nationally, patients faced an average of 7.2 out of 22 social risks. The most common SDH risks among all three cohorts were limited English proficiency, less than high school education, lack of insurance, experiencing high to medium-high stress, and unemployment.

CONCLUSIONS

Findings demonstrated a high prevalence of SDH risks among health center patients that can be critical for informing social interventions and upstream transformation to improve health equity for underserved populations.

Suicide and Suicidal Attempts in the United States: Costs and Policy Implications

The national cost of suicides and suicide attempts in the United States in 2013 was $58.4 billion based on reported numbers alone. Lost productivity (termed indirect costs) represents most (97.1%) of this cost. Adjustment for under-reporting increased the total cost to $93.5 billion or $298 per capita, 2.1-2.8 times that of previous studies. Previous research suggests that improved continuity of care would likely reduce the number of subsequent suicidal attempts following a previous nonfatal attempt. We estimate a highly favorable benefit-cost ratio of 6 to 1 for investments in additional medical, counseling, and linkage services for such patients.

Managing care for patients with substance abuse disorders at community health centers

Coordinating medical and substance use disorder (SUD) services is associated with good health and treatment outcomes but it is not widely practiced. This may be due to a lack of real-world models for coordinating care. This study examined the operational practices associated with a sample of community health centers (CHCs) identified as effectively coordinating SUD services relative to other CHCs. Case studies were used to describe the process of identifying patient need and linking patients with SA treatment services, and to generate propositions about operational approaches for effectively coordinating care. Integrating behavioral health staff within the primary care team was identified as especially critical for facilitating key care transitions. Additional operational approaches that aim to improve care transitions within and across care settings were identified. Future study will be needed to understand the significance of these approaches in terms of health and treatment outcomes. On-going coordination activities among primary care and SUD provided for shared patients remained a challenge for all sites.

Methodological challenges of measuring primary care delivery to pediatric medicaid beneficiaries who use community health centers

Efforts to measure quality of care have focused on ambulatory care providers. We examined the performance of community health centers serving children on Medicaid in 3 states. Descriptive analysis showed considerable patient population heterogeneity, and regression analysis demonstrated that variation explained by the assigned provider was small (mean R(2) = 4.3%) compared with the variation explained by patient demographic variables (mean R(2) = 29.9%). The results reinforce the need for caution when one is attributing quality differences to provider performance.

Achieving excellence in community health centers: implications for health reform

BACKGROUND

Existing studies tell us little about care quality variation within the community health center (CHC) delivery system. They also tell us little about the organizational conditions associated with CHCs that deliver especially high quality care. The purpose of this study was to examine the operational practices associated with a sample of high performing CHCs.

METHODS

Qualitative case studies of eight CHCs identified as delivering high-quality care relative to other CHCs were used to examine operational practices, including systems to facilitate care access, manage patient care, and monitor performance.

RESULTS

Four common themes emerged that may contribute to high performance. At the same time, important differences across health centers were observed, reflecting differences in local environments and CHC capacity.

CONCLUSIONS

In the development of effective, community-based models of care, adapting care standards to meet the needs of local conditions may be important.

Comparative performance of community health centers and other usual sources of primary care

OBJECTIVE

To determine how Community Health Centers (CHCs) perform relative to other primary care providers.

RESEARCH DESIGN

A retrospective cohort study of Medicaid claims comparing provider groups on the basis of avoidable hospitalizations and costs.

RESULTS

Avoidable hospitalization rates did not differ significantly across care settings. Hospital outpatient departments and CHCs had comparable total costs, whereas physicians had slightly but significantly lower total costs.

CONCLUSIONS

Understanding determinants of care cost differences could inform future performance improvement initiatives. Care quality variance within provider groups may be more significant than care quality performance across care settings.