Browsing by Author "Health Policy and Management, School of Public Health"
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Item A decade post-HITECH: Critical access hospitals have electronic health records but struggle to keep up with other advanced functions(Oxford University Press, 2021) Apathy, Nate C.; Holmgren, A. Jay; Adler-Milstein, Julia; Health Policy and Management, School of Public HealthObjective: Despite broad electronic health record (EHR) adoption in U.S. hospitals, there is concern that an "advanced use" digital divide exists between critical access hospitals (CAHs) and non-CAHs. We measured EHR adoption and advanced use over time to analyzed changes in the divide. Materials and methods: We used 2008 to 2018 American Hospital Association Information Technology survey data to update national EHR adoption statistics. We stratified EHR adoption by CAH status and measured advanced use for both patient engagement (PE) and clinical data analytics (CDA) domains. We used a linear probability regression for each domain with year-CAH interactions to measure temporal changes in the relationship between CAH status and advanced use. Results: In 2018, 98.3% of hospitals had adopted EHRs; there were no differences by CAH status. A total of 58.7% and 55.6% of hospitals adopted advanced PE and CDA functions, respectively. In both domains, CAHs were less likely to be advanced users: 46.6% demonstrated advanced use for PE and 32.0% for CDA. Since 2015, the advanced use divide has persisted for PE and widened for CDA. Discussion: EHR adoption among hospitals is essentially ubiquitous; however, CAHs still lag behind in advanced use functions critical to improving care quality. This may be rooted in different advanced use needs among CAH patients and lack of access to technical expertise. Conclusions: The advanced use divide prevents CAH patients from benefitting from a fully digitized healthcare system. To close the widening gap in CDA, policymakers should consider partnering with vendors to develop implementation guides and standards for functions like dashboards and high-risk patient identification algorithms to better support CAH adoption.Item A national overview of nonprofit hospital community benefit programs to address the social determinants of health(Oxford University Press, 2023-12-06) Franz, Berkeley; Burns, Ashlyn; Kueffner, Kristin; Bhardwaj, Meeta; Yeager, Valerie A.; Singh, Simone; Puro, Neeraj; Cronin, Cory E.; Health Policy and Management, School of Public HealthDecades of research have solidified the crucial role that social determinants of health (SDOH) play in shaping health outcomes, yet strategies to address these upstream factors remain elusive. The aim of this study was to understand the extent to which US nonprofit hospitals invest in SDOH at either the community or individual patient level and to provide examples of programs in each area. We analyzed data from a national dataset of 613 hospital community health needs assessments and corresponding implementation strategies. Among sample hospitals, 69.3% (n = 373) identified SDOH as a top-5 health need in their community and 60.6% (n = 326) reported investments in SDOH. Of hospitals with investments in SDOH, 44% of programs addressed health-related social needs of individual patients, while the remaining 56% of programs addressed SDOH at the community level. Hospitals that were major teaching organizations, those in the Western region of the United States, and hospitals in counties with more severe housing problems had greater odds of investing in SDOH at the community level. Although many nonprofit hospitals have integrated SDOH-related activities into their community benefit work, stronger policies are necessary to encourage greater investments at the community-level that move beyond the needs of individual patients.Item 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, School of Public HealthIntroduction: 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.Item Achieving an Optimal Childhood Vaccine Policy(American Medical Association, 2017-09-01) Opel, Douglas J.; Schwartz, Jason L.; Omer, Saad B.; Silverman, Ross D.; Duchin, Jeff; Kodish, Eric; Diekema, Douglas S.; Marcuse, Edgar K.; Orenstein, Walt; Health Policy and Management, School of Public HealthPolicies to remove parents' ability to opt-out from school immunization requirements on the basis of religious or personal beliefs (ie, nonmedical exemptions) may be a useful strategy to increase immunization rates and prevent outbreaks of vaccine-preventable disease. However, there is uncertainty about the effectiveness of this strategy and the range of possible outcomes. We advocate for a more deliberative process through which a broad range of outcomes is scrutinized and the balance of values underlying the policy decision to eliminate nonmedical exemptions is clearly articulated. We identify 3 outcomes that require particular consideration before policies to eliminate nonmedical exemptions are implemented widely and outline a process for making the values underlying such policies more explicit.Item 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 HealthObjective: 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.Item 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 HealthObjectives: 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.Item Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design(BMC, 2017-10-31) Ahonen, Emily Q.; Watson, Dennis P.; Adams, Erin L.; McGuire, Alan; Health Policy and Management, School of Public HealthBackground Detailed descriptions of implementation strategies are lacking, and there is a corresponding dearth of information regarding methods employed in implementation strategy development. This paper describes methods and findings related to the alpha testing of eLearning modules developed as part of the Housing First Technical Assistance and Training (HFTAT) program’s development. Alpha testing is an approach for improving the quality of a product prior to beta (i.e., real world) testing with potential applications for intervention development. Methods Ten participants in two cities tested the modules. We collected data through (1) a structured log where participants were asked to record their experiences as they worked through the modules; (2) a brief online questionnaire delivered at the end of each module; and (3) focus groups. Results The alpha test provided useful data related to the acceptability and feasibility of eLearning as an implementation strategy, as well as identifying a number of technical issues and bugs. Each of the qualitative methods used provided unique and valuable information. In particular, logs were the most useful for identifying technical issues, and focus groups provided high quality data regarding how the intervention could best be used as an implementation strategy. Conclusions Alpha testing was a valuable step in intervention development, providing us an understanding of issues that would have been more difficult to address at a later stage of the study. As a result, we were able to improve the modules prior to pilot testing of the entire HFTAT. Researchers wishing to alpha test interventions prior to piloting should balance the unique benefits of different data collection approaches with the need to minimize burdens for themselves and participants. Electronic supplementary material The online version of this article (10.1186/s40814-017-0187-y) contains supplementary material, which is available to authorized users.Item Analgesic Management of Pain in Elite Athletes: A Systematic Review(Wolters Kluwer, 2018-09) Harle, Christopher A.; Danielson, Elizabeth C.; Derman, Wayne; Stuart, Mark; Dvorak, Jiri; Smith, Lisa; Hainline, Brian; Health Policy and Management, School of Public HealthObjective: To identify the prevalence, frequency of use, and effects of analgesic pain management strategies used in elite athletes. Design: Systematic literature review. Data Sources: Six databases: Ovid/Medline, SPORTDiscus, CINAHL, Embase, Cochrane Library, and Scopus. Eligibility Criteria for Selecting Studies: Empirical studies involving elite athletes and focused on the use or effects of medications used for pain or painful injury. Studies involving recreational sportspeople or those that undertake general exercise were excluded. Main Results: Of 70 articles found, the majority examined the frequency with which elite athletes use pain medications, including nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, anesthetics, and opioids. A smaller set of studies assessed the effect of medications on outcomes such as pain, function, and adverse effects. Oral NSAIDs are reported to be the most common medication, being used in some international sporting events by over 50% of athletes. Studies examining the effects of pain medications on elite athletes typically involved small samples and lacked control groups against which treated athletes were compared. Conclusions: Existing empirical research does not provide a sufficient body of evidence to guide athletes and healthcare professionals in making analgesic medication treatment decisions. Based on the relatively robust evidence regarding the widespread use of NSAIDs, clinicians and policymakers should carefully assess their current recommendations for NSAID use and adhere to a more unified consensus-based strategy for multidisciplinary pain management in elite athletes. In the future, we hope to see more rigorous, prospective studies of various pain management strategies in elite athletes, thus enabling a shift from consensus-based recommendations to evidence-based recommendations.Item Analysis of Hospital Quality Measures and Web-Based Chargemasters, 2019: Cross-sectional Study(JMIR, 2021-08-19) Patel, Kunal N.; Mazurenko, Olena; Ford, Eric; Health Policy and Management, School of Public HealthBackground: The federal health care price transparency regulation from 2019 is aimed at bending the health care cost curve by increasing the availability of hospital pricing information for the public. Objective: This study aims to examine the associations between publicly reported diagnosis-related group chargemaster prices on the internet and quality measures, process indicators, and patient-reported experience measures. Methods: In this cross-sectional study, we collected and analyzed a random 5.02% (212/4221) stratified sample of US hospital prices in 2019 using descriptive statistics and multivariate analysis. Results: We found extreme price variation in shoppable services and significantly greater price variation for medical versus surgical services (P=.006). In addition, we found that quality indicators were positively associated with standard charges, such as mortality (β=.929; P<.001) and readmissions (β=.514; P<.001). Other quality indicators, such as the effectiveness of care (β=-.919; P<.001), efficient use of medical imaging (β=-.458; P=.001), and patient recommendation scores (β=-.414; P<.001), were negatively associated with standard charges. Conclusions: We found that hospital chargemasters display wide variations in prices for medical services and procedures and match variations in quality measures. Further work is required to investigate 100% of US hospital prices posted publicly on the internet and their relationship with quality measures.Item Analysis of Joint External Evaluations in the WHO Eastern Mediterranean Region(2018) Samhouri, Dalia; Ijaz, Kashef; Rashidian, Arash; Chungong, Stella; Flahault, Antoine; Babich, Suzanne M.; Mahjour, Jaouad; Health Policy and Management, School of Public HealthBACKGROUND: Joint External Evaluation (JEE) was developed as a new model of peer-to-peer expert external evaluations of IHR capacities using standardized approaches. AIMS: This study aimed to consolidate findings of these assessments in the Eastern Mediterranean Region and assess their significance. METHODS: Analysis of the data were conducted for 14 countries completing JEE in the Region. Mean JEE score for each of the 19 technical areas and for the overall technical areas were calculated. Bivariate and multivariate analyses were done to assess correlations with key health, socio-economic and health system indicators. RESULTS: Mean JEE scores varied substantially across technical areas. The cumulative mean JEE (mean of indicator scores related to that technical area) was 3 (range: 1-4). Antimicrobial resistance, Biosecurity and Biosafety indicators obtained the lowest scores. Medical countermeasures, personnel deployment and linking public health with security capacities had the highest cumulative mean score of 4 (range: 2-5). JEE scores correlated with most of the key indicators examined. Countries with better health financing system, health service coverage and health status generally had higher JEE scores. Adolescent fertility rate, neonatal mortality ratio and net primary school enrollment ratio were primary factors within a country's overall JEE score. CONCLUSIONS: An integrated multisectoral approach, including well-planned cross-cutting health financing system and coverage, are critical to address the key gaps identified by JEEs in order to ensure regional and global health security.