IU Indianapolis ScholarWorks :: Browsing by Author "Vest, Joshua R."

Browsing by Author "Vest, Joshua R."

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Acceptance of Automated Social Risk Scoring in the Emergency Department: Clinician, Staff, and Patient Perspectives
(University of California, 2024) Mazurenko, Olena; Hirsh, Adam T.; Harle, Christopher A.; McNamee, Cassidy; Vest, Joshua R.; Health Policy and Management, Richard M. Fairbanks School of Public Health
Introduction: Healthcare organizations are under increasing pressure from policymakers, payers, and advocates to screen for and address patients' health-related social needs (HRSN). The emergency department (ED) presents several challenges to HRSN screening, and patients are frequently not screened for HRSNs. Predictive modeling using machine learning and artificial intelligence, approaches may address some pragmatic HRSN screening challenges in the ED. Because predictive modeling represents a substantial change from current approaches, in this study we explored the acceptability of HRSN predictive modeling in the ED. Methods: Emergency clinicians, ED staff, and patient perspectives on the acceptability and usage of predictive modeling for HRSNs in the ED were obtained through in-depth semi-structured interviews (eight per group, total 24). All participants practiced at or had received care from an urban, Midwest, safety-net hospital system. We analyzed interview transcripts using a modified thematic analysis approach with consensus coding. Results: Emergency clinicians, ED staff, and patients agreed that HRSN predictive modeling must lead to actionable responses and positive patient outcomes. Opinions about using predictive modeling results to initiate automatic referrals to HRSN services were mixed. Emergency clinicians and staff wanted transparency on data inputs and usage, demanded high performance, and expressed concern for unforeseen consequences. While accepting, patients were concerned that prediction models can miss individuals who required services and might perpetuate biases. Conclusion: Emergency clinicians, ED staff, and patients expressed mostly positive views about using predictive modeling for HRSNs. Yet, clinicians, staff, and patients listed several contingent factors impacting the acceptance and implementation of HRSN prediction models in the ED.
Accuracy of Electronic Health Record Food Insecurity, Housing Instability, and Financial Strain Screening in Adult Primary Care
(American Medical Association, 2023) Harle, Christopher A.; Wu, Wei; Vest, Joshua R.; Psychology, School of Science
Adoption of Best Practices in Behavioral Health Crisis Care by Mental Health Treatment Facilities
(APA, 2023-09-01) Burns, Ashlyn; Menachemi, Nir; Yeager, Valerie A.; Vest, Joshua R.; Mazurenko, Olena; Health Policy and Management, School of Public Health
Objective: The authors aimed to examine adoption of behavioral health crisis care (BHCC) services included in the Substance Abuse and Mental Health Services Administration’s (SAMHSA’s) best practices guidelines. Methods: Secondary data from SAMHSA’s Behavioral Health Treatment Services Locator in 2022 were used. BHCC best practices were measured on a summated scale capturing whether a mental health treatment facility (N=9,385) adopted BHCC best practices, including provision of these services to all age groups: emergency psychiatric walk-in services, crisis intervention teams, onsite stabilization, mobile or offsite crisis responses, suicide prevention, and peer support. Descriptive statistics were used to examine organizational characteristics (such as facility operation, type, geographic area, license, and payment methods) of mental health treatment facilities nationwide, and a map was created to show locations of best practices BHCC facilities. Logistic regressions were performed to identify facilities’ organizational characteristics associated with adopting BHCC best practices. Results: Only 6.0% (N=564) of mental health treatment facilities fully adopted BHCC best practices. Suicide prevention was the most common BHCC service, offered by 69.8% (N=6,554) of the facilities. A mobile or offsite crisis response service was the least common, adopted by 22.4% (N=2,101). Higher odds of adopting BHCC best practices were significantly associated with public ownership (adjusted OR [AOR]=1.95), accepting self-pay (AOR=3.18), accepting Medicare (AOR=2.68), and receiving any grant funding (AOR=2.45). Conclusions: Despite SAMHSA guidelines recommending comprehensive BHCC services, a fraction of facilities have fully adopted BHCC best practices. Efforts are needed to facilitate widespread uptake of BHCC best practices nationwide.
Adoption of Health Information Technology Among US Nursing Facilities
(Elsevier, 2018-12-19) Vest, Joshua R.; Jung, Hye-Young; Wiley, Kevin; Kooreman, Harold; Pettit, Lorren; Unruh, Mark A.; Health Policy and Management, School of Public Health
Objectives: Nursing facilities have lagged behind in the adoption interoperable health information technology (i.e. technologies that allow the sharing and use of electronic patient information between different information systems). The objective of this study was to estimate the nationwide prevalence of electronic health record (EHR) adoption among nursing facilities and to identify the factors associated with adoption. Design: Cross-sectional survey. Setting & participants: We surveyed members of the Society for Post-Acute & Long-Term Care Medicine (AMDA) about their organizations’ health information technology usage and characteristics. Measurements: Using questions adopted from existing instruments, the survey measured nursing home’s EHR adoption, the ability to send, receive, search and integrate electronic information, as well as barriers to usage. Additionally, we linked survey responses to public use secondary data sources to construct measurements for eight determinants known to be associated with organizational adoption: innovativeness, functional differentiation, role specialization, administrative intensity, professionalism, complexity, technical knowledge resources and slack resources. A series of regression models estimated the association between potential determinants and technology adoption. Results: 84% of nursing facilities reported using an EHR. After controlling for all other factors, respondents who characterized their organization as more innovative had more than 6 times the odds (adjusted odds ratio = 6.39; 95%CI = 2.69, 15.21) of adopting an EHR. Organization innovativeness was also associated with an increased odds of being able to send, integrate, and search for electronic information. The most commonly identified barrier to sharing clinical information among nursing facilities with an EHR was a reported absence of interoperability (57%). Conclusions/Implications: An organizational culture that fosters innovation and awareness campaigns by professional societies may facilitate further adoption and effective use of technology. This will be increasingly important as policymakers continue to emphasize the use of EHRs and interoperability to improve the quality of care in nursing facilities.
Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services
(Oxford Press, 2018-01) Kasthurirathne, Suranga N.; Vest, Joshua R.; Menachemi, Nir; Halverson, Paul K.; Grannis, Shaun J.; Health Policy and Management, School of Public Health
Introduction A growing variety of diverse data sources is emerging to better inform health care delivery and health outcomes. We sought to evaluate the capacity for clinical, socioeconomic, and public health data sources to predict the need for various social service referrals among patients at a safety-net hospital. Materials and Methods We integrated patient clinical data and community-level data representing patients’ social determinants of health (SDH) obtained from multiple sources to build random forest decision models to predict the need for any, mental health, dietitian, social work, or other SDH service referrals. To assess the impact of SDH on improving performance, we built separate decision models using clinical and SDH determinants and clinical data only. Results Decision models predicting the need for any, mental health, and dietitian referrals yielded sensitivity, specificity, and accuracy measures ranging between 60% and 75%. Specificity and accuracy scores for social work and other SDH services ranged between 67% and 77%, while sensitivity scores were between 50% and 63%. Area under the receiver operating characteristic curve values for the decision models ranged between 70% and 78%. Models for predicting the need for any services reported positive predictive values between 65% and 73%. Positive predictive values for predicting individual outcomes were below 40%. Discussion The need for various social service referrals can be predicted with considerable accuracy using a wide range of readily available clinical and community data that measure socioeconomic and public health conditions. While the use of SDH did not result in significant performance improvements, our approach represents a novel and important application of risk predictive modeling.
Assessing the use of a clinical decision support tool for pain management in primary care
(Oxford University Press, 2022-09-15) Apathy, Nate C.; Sanner, Lindsey; Adams, Meredith C.B.; Mamlin, Burke W.; Grout, Randall W.; Fortin, Saura; Hillstrom, Jennifer; Saha, Amit; Teal, Evgenia; Vest, Joshua R.; Menachemi, Nir; Hurley, Robert W.; Harle, Christopher A.; Mazurenko, Olena; Health Policy and Management, School of Public Health
Objective: Given time constraints, poorly organized information, and complex patients, primary care providers (PCPs) can benefit from clinical decision support (CDS) tools that aggregate and synthesize problem-specific patient information. First, this article describes the design and functionality of a CDS tool for chronic noncancer pain in primary care. Second, we report on the retrospective analysis of real-world usage of the tool in the context of a pragmatic trial. Materials and methods: The tool known as OneSheet was developed using user-centered principles and built in the Epic electronic health record (EHR) of 2 health systems. For each relevant patient, OneSheet presents pertinent information in a single EHR view to assist PCPs in completing guideline-recommended opioid risk mitigation tasks, review previous and current patient treatments, view patient-reported pain, physical function, and pain-related goals. Results: Overall, 69 PCPs accessed OneSheet 2411 times (since November 2020). PCP use of OneSheet varied significantly by provider and was highly skewed (site 1: median accesses per provider: 17 [interquartile range (IQR) 9-32]; site 2: median: 8 [IQR 5-16]). Seven "power users" accounted for 70% of the overall access instances across both sites. OneSheet has been accessed an average of 20 times weekly between the 2 sites. Discussion: Modest OneSheet use was observed relative to the number of eligible patients seen with chronic pain. Conclusions: Organizations implementing CDS tools are likely to see considerable provider-level variation in usage, suggesting that CDS tools may vary in their utility across PCPs, even for the same condition, because of differences in provider and care team workflows.
The Association Between State-Level Health Information Exchange Laws and Hospital Participation in Community Health Information Organizations
(AMIA, 2018) Brown-Podgorski, Brittany L.; Hilts, Katy Ellis; Kash, Bita A.; Schmit, Cason D.; Vest, Joshua R.; Health Policy and Management, School of Public Health
Evidence suggests that health information exchange (HIE) is an effective strategy to improve efficiency and quality of care, as well as reduce costs. A complex patchwork of federal and state legislation has developed over time to encourage HIE activity. Hospitals and health systems have adopted various HIE models to meet the requirements of these statutes and regulations. Given the complexity of HIE laws, it is important to understand how these legal levers influence HIE engagement. We combined data from two unique data sources to examine the association between state-level HIE laws and hospital engagement in community HIEs. Our results identified three legal provisions of state laws (HIE authorization, financial & non-financial incentives, opt-out consent) that increased the likelihood of community HIE engagement. Other provisions decreased the likelihood of engagement. This analysis provides foundational evidence about the utility of HIE laws. More research is needed to determine causal relationships.
The associations between query-based and directed health information exchange with potentially avoidable use of health care services
(Wiley, 2019-05-21) Vest, Joshua R.; Unruh, Mark Aaron; Shapiro, Jason S.; Casalino, Lawrence P.; Health Policy and Management, School of Public Health
Objective To quantify the impact of two approaches (directed and query‐based) to health information exchange (HIE) on potentially avoidable use of health care services. Data Sources/Study Setting Data on ambulatory care providers’ adoption of HIE were merged with Medicare fee‐for‐service claims from 2008 to 2014. Providers were from 13 counties in New York served by the Rochester Regional Health Information Organization (RHIO). Study Design Linear regression models with provider and year fixed effects were used to estimate changes in the probability of utilization outcomes for Medicare beneficiaries attributed to providers adopting directed and/or query‐based HIE compared with beneficiaries attributed to providers who had not adopted HIE. Data Collection Providers’ HIE adoption status was determined through Rochester RHIO registration records. RHIO and claims data were linked via National Provider Identifiers. Principal Findings Query‐based HIE adoption was associated with a 0.2 percentage point reduction in the probability of an ambulatory care sensitive hospitalization and a 1.1 percentage point decrease in the likelihood of an unplanned readmission. Directed HIE adoption was not associated with any outcome. Conclusions The Centers for Medicare & Medicaid Services’ (CMS) EHR certification criteria includes requirements for directed HIE, but not query‐based HIE. Pending further research, certification criteria should place equal weight on facilitating query‐based and directed exchange.
Availability of Behavioral Health Crisis Care and Associated Changes in Emergency Department Utilization
(2024-06) Burns, Ashlyn Brooke; Yeager, Valerie; Menachemi, Nir; Vest, Joshua R.; Mazurenko, Olena; Salyers, Michelle
One in eight emergency department visits involves a behavioral health crisis. Yet, emergency departments are rarely equipped to meet the needs of patients experiencing a behavioral health crisis. Innovative care delivery models, such as behavioral health crisis care services delivered by mental health treatment facilities, offer a promising alternative to the emergency department. As decisions are being made around reimbursement and expansion of behavioral health crisis care models, empirical evidence on the relationship between these services and emergency department utilization is needed. The purpose of this dissertation is to 1) assess availability of behavioral health crisis care services across the United States; 2) identify community-level characteristics associated with availability of behavioral health crisis care services; and 3) quantify changes in emergency department utilization associated with availability of behavioral health crisis care services. In doing so, this dissertation identifies gaps in the nation’s existing behavioral health crisis care system and highlights the value of ensuring access to these life-saving services. As national implementation of the new 988 Suicide and Crisis Lifeline is underway, findings from this dissertation may help inform efforts to transform the crisis continuum and ensure access to care for all individuals experiencing a crisis.
The benefits of health information exchange: an updated systematic review
(Oxford Academic, 2018-09) Menachemi, Nir; Rahurkar, Saurabh; Harle, Christopher A.; Vest, Joshua R.; Health Policy and Management, School of Public Health
Objective Widespread health information exchange (HIE) is a national objective motivated by the promise of improved care and a reduction in costs. Previous reviews have found little rigorous evidence that HIE positively affects these anticipated benefits. However, early studies of HIE were methodologically limited. The purpose of the current study is to review the recent literature on the impact of HIE. Methods We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct our systematic review. PubMed and Scopus databases were used to identify empirical articles that evaluated HIE in the context of a health care outcome. Results Our search strategy identified 24 articles that included 63 individual analyses. The majority of the studies were from the United States representing 9 states; and about 40% of the included analyses occurred in a handful of HIEs from the state of New York. Seven of the 24 studies used designs suitable for causal inference and all reported some beneficial effect from HIE; none reported adverse effects. Conclusions The current systematic review found that studies with more rigorous designs all reported benefits from HIE. Such benefits include fewer duplicated procedures, reduced imaging, lower costs, and improved patient safety. We also found that studies evaluating community HIEs were more likely to find benefits than studies that evaluated enterprise HIEs or vendor-mediated exchanges. Overall, these finding bode well for the HIEs ability to deliver on anticipated improvements in care delivery and reduction in costs.

Browsing by Author "Vest, Joshua R."

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