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Nir Menachemi¹, Taleah H Collum²¹Department of Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, AL, USA; ²Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USAAbstract: The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 that was signed into law as part of the "stimulus package" represents the largest US initiative to date that is designed to encourage widespread use of electronic health records (EHRs). In light of the changes anticipated from this policy initiative, the purpose of this paper is to review and summarize the literature on the benefits and drawbacks of EHR systems. Much of the literature has focused on key EHR functionalities, including clinical decision support systems, computerized order entry systems, and health information exchange. Our paper describes the potential benefits of EHRs that include clinical outcomes (eg, improved quality, reduced medical errors), organizational outcomes (eg, financial and operational benefits), and societal outcomes (eg, improved ability to conduct research, improved population health, reduced costs). Despite these benefits, studies in the literature highlight drawbacks associated with EHRs, which include the high upfront acquisition costs, ongoing maintenance costs, and disruptions to workflows that contribute to temporary losses in productivity that are the result of learning a new system. Moreover, EHRs are associated with potential perceived privacy concerns among patients, which are further addressed legislatively in the HITECH Act. Overall, experts and policymakers believe that significant benefits to patients and society can be realized when EHRs are widely adopted and used in a “meaningful” way.Keywords: EHR, health information technology, HITECH, computerized order entry, health information exchange

Objective: This study investigated whether outpatient visits to psychiatrists and primary care physicians (family physicians, general internists, or general practitioners) by individuals with schizophrenia differed in antipsychotic medication management and subsequent hospitalization by age, gender, race-ethnicity, insurance, rurality, and region.Methods: Data for the study were from office visit forms completed between 1999 and 2007 by physicians in the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey. A total of 3,359 outpatient visits by individuals with a diagnosis of schizophrenia were identified. The research team used four logistic regression models to test the relationship of sociodemographic variables to antipsychotic medication management during the visit and to hospitalization after the visit. The four models controlled for available clinical covariates with or without physician specialty in the entire cohort and in the cohort of visits in which patients had no active psychotic symptoms.Results: In at least three of the four models, the research team observed that visits by non-Hispanic black patients had significantly (p<.05) greater odds of involving antipsychotic medication management than visits by non-Hispanic whites (range of odds ratios [ORs] 1.66 to 1.88) and of resulting in hospitalization (range of ORs, 3.52 to 6.95). In all four models, visits by patients who lacked insurance were significantly less likely to result in hospitalization than visits by patients who had private insurance (OR=<.001 in all models).Conclusions: These findings provide the first national evidence of potential treatment disparities for schizophrenia. Further research is needed to definitively identify disparities and to understand their causes and consequences. [ABSTRACT FROM AUTHOR]

The purpose of this study was to examine potential associations among ambulatory surgery centers' (ASCs) organizational strategy, structure, and quality performance. The authors obtained several large-scale, all-payer claims data sets for the 1997 to 2004 period. The authors operationalized quality performance as unplanned hospitalizations at 30 days after outpatient arthroscopy and colonoscopy procedures. The authors draw on related organizational theory, behavior, and health services research literatures to develop their conceptual framework and hypotheses and fitted fixed and random effects Poisson regression models with the count of unplanned hospitalizations. Consistent with the key hypotheses formulated, the findings suggest that higher levels of specialization and the volume of procedures may be associated with a decrease in unplanned hospitalizations at ASCs. [ABSTRACT FROM AUTHOR]

Our study compared adverse patient safety events among hospitals that have received the distinction 'Most Wired' as rated by the Hospital and Health Network publication versus comparison hospitals. Risk-adjusted Patient Safety Indicators (PSIs) were calculated for 558 general adult medical/surgical hospitals participating in the Agency for Healthcare Quality and Research's Nationwide Inpatient Sample. When compared using mean risk-adjusted PSI rates, no significant differences in performance for specific PSIs were observed between hospitals affiliated with the 'Most Wired' label and those without the designation using objective measures of safety. [ABSTRACT FROM AUTHOR]

Background: Despite the growing use of information technology (IT) in medical practices, little is known about the relationship between IT and physician satisfaction. Purpose: The objective of this study was to examine the relationship between physician IT adoption (of various applications) and overall practice satisfaction, as well as satisfaction with the level of computerization at the practice. Methods: Data from a Florida survey examining physicians' use of IT and satisfaction were analyzed. Odds ratios (ORs), adjusted for physician demographics and practice characteristics, were computed utilizing logistic regressions to study the independent relationship of electronic health record (EHR) usage, PDA usage, use of e-mail with patients, and the use of disease management software with satisfaction. In addition, we examined the relationship between satisfaction with IT and overall satisfaction with the current medical practice. Results: In multivariate analysis, EHR users were 5 times more likely to be satisfied with the level of computerization in their practice (OR = 4.93, 95% CI = 3.68DS6.61) and 1.8 times more likely to be satisfied with their overall medical practice (OR = 1.77, 95% CI = 1.35DS2.32). PDA use was also associated with an increase in satisfaction with the level of computerization (OR = 1.23, 95% CI = 1.02DS1.47) and with the overall medical practice (OR = 1.30, 95% CI = 1.07DS1.57). E-mail use with patients was negatively related to satisfaction with the level of computerization in the practice (OR = 0.69, 95% CI = 0.54-0.90). Last, physicians who were satisfied with IT were 4 times more likely to be satisfied with the current state of their medical practice (OR = 3.97, 95% CI = 3.29-4.81). Implications: Physician users of IT applications, especially EHRs, are generally satisfied with these technologies. Potential adopters and/or policy makers interested in influencing IT adoption should consider the positive impact that computer automation can have on medical practice. [ABSTRACT FROM AUTHOR]

BACKGROUND: Despite the advantages of electronic health record (EHR) systems, the adoption of these systems has been slow among community-based physicians. Current studies have examined organizational and personal barriers to adoption; however, the influence of market characteristics has not been studied. PURPOSE: The purpose of this study was to measure the effects of market characteristics on EHR adoption by physicians. METHODOLOGY: Generalized hierarchal linear modeling was used to analyze EHR survey data from Florida which were combined with data from the Area Resource File and the Florida Office of Insurance Regulation. The main outcome variable was self-reported use of EHR by physicians. FINDINGS: A total of 2,926 physicians from practice sizes of 20 or less were included in the sample. Twenty-one percent (n = 613) indicated that they personally and routinely use an EHR system in their practice. Physicians located in counties with higher physician concentration were found to be more likely to adopt EHRs. For every one-unit increase in nonfederal physicians per 10,000 in the county, there was a 2.0% increase in likelihood of EHR adoption by physicians (odds ratio = 1.02, confidence interval = 1.00-1.03). Health maintenance organization penetration rate and poverty level were not found to be significantly related to EHR adoption. However, practice size, years in practice, Medicare payer mix, and measures of technology readiness were found to independently influence physician adoption. PRACTICE IMPLICATIONS: Market factors play an important role in the diffusion of EHRs in small medical practices. Policy makers interested in furthering the adoption of EHRs must consider strategies that would enhance the confidence of users as well as provide financial support in areas with the highest concentration of small medical practices and Medicare beneficiaries. Health care leaders should be cognizant of the market forces that enable or constrain the adoption of EHR among their practices and those of their competitors. [ABSTRACT FROM AUTHOR]

This study examined whether information technology (IT) governance, a term describing the decision authority and reporting structures of the chief information officer (CIO), is related to the financial performance of hospitals. The study was conducted using a combination of primary survey data regarding health care IT adoption and reporting structures of Florida acute care hospitals, with secondary data on hospital financial performance. Multiple regression models were used to evaluate the relationship of the 3 most commonly identified reporting structures. Outcome variables included measures of operating revenue and operating expense. All models controlled for overall IT adoption, ownership, membership in a hospital system, case mix, and hospital bed size. The results suggest that IT governance matters when it comes to hospital financial performance. Reporting to the chief financial officer brings positive outcomes; reporting to the chief executive officer has a mixed financial result; and reporting to the chief operating officer was not associated with discernible financial impact. [ABSTRACT FROM AUTHOR]

BACKGROUND: Hospitals have been slow to adopt information technology (IT) largely because of a lack of generalizable evidence of the value associated with such adoption. PURPOSE: To explore the relationship between IT adoption and quality of care in acute-care hospitals. METHODS: Primary data on hospital IT adoption were combined with secondary hospital discharge data. Regression analyses were used to examine the relationship between various measures of IT adoption and several quality indicators after controlling for confounders. Adoption of IT was measured using a previously validated method that considers clinical, administrative, and strategic IT capabilities of acute-care hospitals. Quality measures included the Inpatient Quality Indicators developed by the Agency for Healthcare Research and Quality. RESULTS: Data from 98 hospitals were available for analyses. Hospitals adopted an average of 11.3 (45.2%) clinical IT applications, 15.7 (74.8%) administrative IT applications, and 5 (50%) strategic IT applications. In multivariate regression analyses, hospitals that adopted a greater number of IT applications were significantly more likely to have desirable quality outcomes on seven Inpatient Quality Indicator measures, including risk-adjusted mortality from percutaneous transluminal coronary angioplasty, gastrointestinal hemorrhage, and acute myocardial infarction. An increase in clinical IT applications was also inversely correlated with utilization of incidental appendectomy, and an increase in the adoption of strategic IT applications was inversely correlated with risk-adjusted mortality from craniotomy and laparoscopic cholecystectomy. PRACTICE IMPLICATIONS: Hospital adoption of IT is associated with desirable quality outcomes across hospitals in Florida. These findings will assist hospital leaders interested in understanding better the effect of costly IT adoption on quality of care in their institutions. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Numerous studies have identified organizational factors related to the adoption of information technology (IT) by hospitals. However, no study has examined whether patient characteristics of hospitals are related to the adoption of health IT. This study examines IT adoption in hospitals that care for either a large number or a large proportion of children. METHODS: Primary data from an IT survey of acute care hospitals were combined with secondary data on hospital discharges. Pediatric volume was both categorically and continuously operationalized in several ways. IT adoption was examined both at the individual IT application level and in several aggregate measures of organizational adoption. Univariate and linear regression models were used to analyze the data. Regression models controlled for average patient severity of illness (case mix), public insurance volume, bed size, and system affiliation for each hospital. RESULTS: All 98 acute care hospitals that participated in the survey were matched to the hospital discharge data. Analyses suggest that IT adoption is positively correlated with a higher absolute number of pediatric discharges from hospitals. Similarly, as children make up a higher percentage of a given hospital's discharges, the propensity to adopt clinical and nonclinical IT applications increases significantly as well. CONCLUSION: Acute care hospitals caring for a large number, or a large proportion, of children are more likely to adopt health IT. This relationship may be because children, when hospitalized, are more likely to seek care in technologically and clinically advanced facilities. However, it is unclear whether the IT adopted is calibrated for optimal pediatric use. More research on the use of IT is needed and should focus on other pediatric clinical settings as well. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To examine the current use of electronic health records (EHRs) and their key subfunctions among obstetrician-gynecologists and compare this trend with other doctors. METHODS: In this study, we examined responses to a large statewide study of EHR use among Florida physicians practicing in the ambulatory setting. For assessment purposes, we compared obstetrician-gynecologists with other primary care physicians (PCPs) and surgeons with respect to EHR utilization, the availability of key EHR functions, and time since adoption. In addition, we examined adoption intentions among non-EHR users. To compare differences among groups, the chi-square test was utilized with significance level set at P < .05. RESULTS: A total of 2428 responses (28.4% response rate), of which 454 were from obstetrician-gynecologists, were available for the current study. EHR use among obstetrician-gynecologists (18.3%) was significantly less (P < .001) than among PCPs (25.7%) and surgeons (20.5%). Among EHR users, obstetrician-gynecologists were significantly less likely than PCPs to have the following desirable EHR functions: problem lists (P < .001), medication lists (P < .001), allergy information (P = .014), electronic prescribing of medications (P = .001), electronic order entry (P = .009), electronically available laboratory results (P = .002), electronic connection to pharmacy information (P = .008), preventative service reminders (P < .001), and patient education material (P = .004). Moreover, obstetrician-gynecologists were significantly more likely to have adopted their system within the last 2 years. However, among nonusers, they were not more likely to indicate the intention to adopt EHR. CONCLUSION: Compared with peers, obstetrician-gynecologists are less likely to be using EHR in their practice. In addition, their systems tend to have fewer medical error preventing functions and fewer basic functions. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Despite existing knowledge regarding electronic health record (EHR) barriers in the ambulatory setting, little is known, specifically, about physicians who are likely to adopt EHR imminently. The current study identifies these imminent adopters and compares their barriers to other physicians.Design and measurements: Mail survey of Florida physicians (n = 14,921) about barriers to EHR and adoption intentions. The survey asked respondents to classify themselves as planning to adopt an EHR system within one year (herein referred to as 'imminent adopters'), as planning to adopt an EHR system but not within one year ('interested adopters'), and as not considering an EHR system. Chi-square analysis and logistic regression models were used to identify trends among imminent adopters and to compare barriers among respondents in each of the adoption categories above. RESULTS: A total of 4203 returned surveys represented a 28.2% response rate. Imminent adopters were significantly less likely to be in solo practice (19.6% vs. 40.0%,P < 0.001) and more likely to be in an urban area (P = 0.044) or in a multi-specialty practice (P = 0.023). Imminent adopters were also more likely to be practising family medicine (P = 0.014) or obstetrics/gynaecology (P = 0.038). When compared with their colleagues, imminent adopters perceived EHR barriers very differently. For example, imminent adopters were significantly less likely to consider upfront cost of hardware/software [OR = 0.35 (0.30, 0.45)] or that an inadequate return on investment [OR = 0.25 (0.19, 0.34)] was a major barrier to EHR. Moreover, imminent adopters differed from their colleagues with respect to numerous other productivity-related and technical-related barriers. CONCLUSION: Policy and decision makers interested in promoting the adoption of EHR among physicians should focus on the needs and barriers of those most likely to adopt EHR. Given that imminent adopters differ considerably from their peers, current EHR incentive programmes that focus on financial barriers only might prove sub-optimal in achieving immediate widespread EHR adoption. [ABSTRACT FROM AUTHOR]

OBJECTIVES: In this study we assessed the structure and function of local and district health agencies throughout the United States. We compared these findings with those from a previous national assessment done a decade earlier. METHODS: We surveyed the state health officers of all 50 states in the summer of 2001 in regard to the structures and functions of their state's local and district health agencies. RESULTS: Forty-seven states completed the survey for a 94 percent response rate. Forty-three percent have a regional or district structure in place. According to more than 80 percent of the respondents, local health departments serve all areas of their state. Local boards of health provide guidance and oversight in two thirds of the states. Most local health departments continue to perform a variety of traditional public health functions, as well as a variety of newly emerging responsibilities. Many local functions varied by geographic regions, population size, and organizational type. CONCLUSIONS: The study identified structural and functional changes in the local and district health agencies of state public health systems over the last decade. The stage is set for future work on the relationship between public health structure and function, and performance in the 21st century. [ABSTRACT FROM AUTHOR]

Despite the continuing interest in the importance of health care information technology adoption, very little is known about chief information officers (CIOs), the individuals who manage this effort. The present study surveyed hospital CIOs to understand their backgrounds, their organizational status, and their influence in hospital health care information technology adoption. Survey responses from 98 organizations suggest that the CIO position varies significantly according to the profit status of the hospital. Further, regression analyses suggest that CIO tenure is associated with greater health care information technology adoption, whereas the reporting structure of the CIO is not. Management implications of the findings are discussed. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to comprehensively characterise the current use of electronic health records (EHRs) and personal digital assistants (PDAs) among family physicians in Florida; and to compare family physicians with other doctors with respect to the functions commonly used on their EHR and PDA systems. Methods A postal survey was sent to family physicians (n=2076) and other doctors with a clear and active licence in Florida (total n=14 921). To examine factors among family physicians related to EHR and PDA use, binary logistic regression modelling techniques were utilised. Chi-square analysis was used to compare EHR and PDA functions between family physicians and other doctors. Results A total of 4203 responses, of which 756 were from family physicians, were available for the current study (28.2% overall response rate). EHR use among family physicians was significantly related to large practice size, urban location and young physician age, after controlling for confounders. Likewise, PDA usage among family physicians was independently associated with male gender and younger physician age. Additionally, even though no differences in overall EHR adoption were found, family physicians, when compared with other physicians, were significantly more likely to be using a more robust set of EHR functions. This included allergy and medication lists, diagnosis, problem lists, patient scheduling and educational materials, preventive services reminders and access to reference material. Conclusions Even though family physicians utilise many EHR and PDA functions more commonly than other physician groups, the overall level of EHR adoption among family physicians remains low. Until more barriers to the use of EHR are minimised, the goals of the Future of Family Medicine Report to broadly implement EHR and other health IT functions will not be fully realised. [ABSTRACT FROM AUTHOR]

Efforts to identify the underlying structure of 40 survey items dealing with perceptions of medical errors are reported on the basis of responses from 195 medical residents. Factor analysis revealed that the medical errors perceptions were represented by a 10-factor solution. The external validity of these factors was examined relative to perceptions about the cost of medical errors, the cost of errors to health care, and the need for education and interventions to address errors. Results indicated that 13.9% of the variation in the perceived cost of medical errors and 17.1% of the variation in the perceived need for additional physician education was explained by the factor structure. [ABSTRACT FROM AUTHOR]

Objective: To determine whether availability of behavioral health crisis care services is associated with changes in emergency department (ED) utilization., Data Sources and Study Setting: We used longitudinal panel data (2016-2021) on ED utilization from the Healthcare Cost and Utilization Project's State ED Databases and a novel dataset on crisis care services compiled using information from the Substance Abuse and Mental Health Services Administration's National Directories of Mental Health Treatment Facilities. A total of 1002 unique zip codes from Arizona, Florida, Kentucky, Maryland, and Wisconsin were included in our analyses., Study Design: To estimate the effect of crisis care availability on ED utilization, we used a linear regression model with zip code and year fixed effects and standard errors accounting for clustering at the zip code-level. ED utilization related to mental, behavioral, and neurodevelopmental (MBD) disorders served as our primary outcome. We also examined pregnancy-related ED utilization as a nonequivalent dependent variable to assess residual bias in effect estimates., Data Collection/extraction Methods: We extracted data on crisis care services offered by mental health treatment facilities (n = 14,726 facility-years) from the National Directories. MBD-related ED utilization was assessed by applying the Clinical Classification Software Refined from the Healthcare Cost and Utilization Project to the primary ICD-10-CM diagnosis code on each ED encounter (n = 101,360,483). All data were aggregated to the zip code-level (n = 6012 zip-years)., Principal Findings: The overall rate of MBD-related ED visits between 2016 and 2021 was 1610 annual visits per 100,000 population. Walk-in crisis stabilization services were associated with reduced MBD-related ED utilization (coefficient = -0.028, p = 0.009), but were not significantly associated with changes in pregnancy-related ED utilization., Conclusions: Walk-in crisis stabilization services were associated with reductions in MBD-related ED utilization. Decision-makers looking to reduce MBD-related ED utilization should consider increasing access to this promising alternative model., (© 2024 The Author(s). Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Indiana has a business-friendly environment, but historical underinvestment in public health has yielded poor health outcomes. In 2023, when trust in governmental public health was strained nationwide, Indiana increased public health spending by 1,500 percent. In this article, we explain how Indiana achieved this unprecedented legislative victory for public health, describing the context, approach, and lessons learned. Specifically, an Indiana University report linking economic vitality and overall health sparked the creation of a governor's commission charged with exploring ways to address Indiana's shortcomings. Working with the Indiana Department of Health, the commission developed multisectoral coalitions and business and government partnerships, and it maintained consistent and coordinated communication with policy makers. Lessons learned included the value of uncoupling public health from partisan narratives, appointing diverse commission membership with strategically selected cochairs, involving local leaders, and ensuring local decision-making control. We believe that Indiana's approach holds insights for other states interested in strengthening public health funding in the current era.

Introduction: Multiple modalities and frequencies of contact are needed to maximize recruitment in many public health surveys. The purpose of this analysis is to characterize respondents to a statewide SARS-CoV-2 testing study whose participation followed either postcard, phone outreach or electronic means of invitation. In addition, we examine how participant characteristics differ based upon the number of contacts needed to elicit participation., Methods: This is a cross-sectional analysis of survey data collected from participants who were randomly selected to represent Indiana residents and were invited to be tested for Covid-19 in April 2020. Participants received invitations via postcard, text/emails, and/or robocalls/texts based upon available contact information. The modality, and frequency of contacts, that prompted participation was determined by when the notification was sent and when the participant responded and subsequently registered to participate in the study. Chi square analyses were used to determine differences between groups and significant findings were analyzed using multinomial logistic regression., Results: Respondents included 3,658 individuals and were stratified by postcards (7.9%), text/emails (26.5%), and robocalls/text (65.7%) with 19.7% registering after 1 contact, 47.9% after 2 contacts, and 32.4% after 3 contacts encouraging participation. Females made up 54.6% of the sample and responded at a higher rate for postcards (8.2% vs. 7.5%) and text/emails (28.1 vs. 24.6%) as compared to males (χ 2  = 7.43, p = 0.025). Compared to males, females responded at a higher percentage after 1 contact (21.4 vs. 17.9%, χ 2  = 7.6, p = 0.023). Those over 60 years responded most often after 2 contacts (χ 2  = 27.5, p < 0.001) when compared to others at younger age groups. In regression analysis, participant sex (p = 0.036) age (p = 0.005), educational attainment (p = < 0.0001), and being motivated by "free testing" (p = 0.036) were correlated with participation in the prevalence study., Discussion: Researchers should be aware that the modality of contact as well as the number of prompts used could influence differential participation in public health studies. Our findings can inform researchers developing studies that rely on selective participation by study subjects. We explore how to increase participation within targeted demographic groups using specific modalities and examining frequency of contact., (© 2024. The Author(s).)

Mobile crisis teams are comprised of multidisciplinary mental health professionals that respond to mental health crisis calls in community settings. This study identified counties with mobile crisis teams and examined state policies associated with mobile crisis teams. Descriptive statistics and geographic information system software were used to quantify and map counties with mobile crisis teams in the United States. Relationships between state policies and mobile crisis teams were examined using an adjusted logistic regression model, controlling for county characteristics and accounting for clustering by state. Approximately 40% (n = 1,245) of all counties in the US have at least one mobile crisis team. Counties in states with legislation in place to fund the 988 Suicide and Crisis Lifeline were more likely to have a mobile crisis team (Adjusted Odds Ratio (AOR): 2.0; Confidence Interval (CI): 1.23-3.26), whereas counties in states with 1115 waivers restricting Medicaid benefits were less likely to have a mobile crisis team (AOR: 0.43; CI: 0.21-0.86). Additionally, counties with the largest population were more likely to have a mobile crisis team (AOR: 2.20; CI:1.43-3.38) than counties with the smallest population. Having a mobile crisis teams was positively associated with legislation to fund 988. Legislation that encourages expansion of existing crisis care services, specifically funding aimed at mobile crisis teams, may help increase availability of services for people who are experiencing a mental health crisis in the community., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objectives: To examine the relationship between preventive dental visits (PDVs) and medical expenditures while mitigating bias from unobserved confounding factors., Study Design: Retrospective data analysis of Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resources Files., Methods: An instrumental variable (IV) approach was used to estimate the relationship between PDVs and medical and pharmacy expenditures among Medicaid enrollees. The instrument was defined as the number of adult enrollees with at least 1 nonpreventive dental claim per total Medicaid enrollees within a Census tract per year., Results: In naive analyses, enrollees had on average greater medical expenditures if they had a prior-year PDV (β = $397.21; 95% CI, $184.23-$610.18) and a PDV in the same year as expenditures were measured (β = $344.81; 95% CI, $193.06-$496.56). No significant differences in pharmacy expenditures were observed in naive analyses. Using the IV approach, point estimates of overall medical expenditures for the marginal enrollee who had a prior-year PDV (β = $325.17; 95% CI, -$708.03 to $1358.37) or same-year PDV (β = $170.31; 95% CI, -$598.89 to $939.52) were similar to naive results, although not significant. Our IV approach indicated that PDV was not endogenous in some specifications., Conclusions: This is the first study to present estimates with causal inference from a quasi-experimental study of the effect of PDVs on overall medical expenditures. We observed that prior- or same-year PDVs were not related to overall medical or pharmacy expenditures.

Behavioral health crisis care (BHCC) is a care delivery model for individuals experiencing acute distress related to a mental health or substance use disorder. We examined market factors associated with comprehensive BHCC availability using 2022 data on mental health treatment facilities (n = 9385) obtained from the Substance Abuse and Mental Health Services Administration. We aggregated facility-level data by county (n = 3142) and merged with county-level market factors. Logistic regression models were used to examine the adjusted associations between market factors and BHCC availability. We found that 468 (14.9%) counties had at least one mental health treatment facility offering comprehensive BHCC services. Specifically, counties with more mental health providers (Adjusted Odds Ratio = 2.26, Confidence Interval = 1.32-3.86) and metropolitan counties (AOR = 3.26, CI = 1.95-5.43) had higher odds of having a comprehensive BHCC facility. Our findings highlight the importance of developing the mental health workforce to increase BHCC availability and a need to address disparities in rural counties., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: We sought to measure the association of dental provider density and receipt of dental care among Medicaid-enrolled adults., Methods: We used four years of Indiana Medicaid claims and enrollment data (2015 to 2018) and the Area Health Resources File to examine the relationship between any dental visit (ADV) or any preventive dental visit (PDV) and three county-level measures of dental provider density (the total number of Medicaid-participating dentists, a binary indicator of a federally qualified health center (FQHC) with a Medicaid-participating dentist, and the overall county dentist-to-population ratio)., Results: The likelihood of ADV or PDV increased with greater density of Medicaid-participating dentists as well as dentists accepting Medicaid working at an FQHC within the county. The overall dentist-to-population ratio was not associated with dental care use among the adult Medicaid population., Conclusion: Dentist participation in Medicaid program may be a modifiable barrier to Medicaid-enrolled adults' receipt of dental care.

Importance: There is a paucity of systematically captured data on the costs incurred by society-individuals, families, and communities-from untreated mental illnesses in the US. However, these data are necessary for decision-making on actions and allocation of societal resources and should be considered by policymakers, clinicians, and employers., Objective: To estimate the economic burden associated with untreated mental illness at the societal level., Design, Setting, and Participants: This cross-sectional study used multiple data sources to tabulate the annual cost of untreated mental illness among residents (≥5 years old) in Indiana in 2019: the US National Survey on Drug Use and Health, the National Survey of Children's Health, Indiana government sources, and Indiana Medicaid enrollment and claims data. Data analyses were conducted from January to May 2022., Main Outcomes and Measures: Direct nonhealth care costs (eg, criminal justice system, homeless shelters), indirect costs (unemployment, workplace productivity losses due to absenteeism and presenteeism, all-cause mortality, suicide, caregiver direct health care, caregiver productivity losses, and missed primary education), and direct health care costs (disease-related health care expenditures)., Results: The study population consisted of 6 179 105 individuals (median [SD] age, 38.0 [0.2] years; 3 132 806 [50.7%] were women) of whom an estimated 429 407 (95% CI, 349 526-528 171) had untreated mental illness in 2019. The economic burden of untreated mental illness in Indiana was estimated to be $4.2 billion annually (range of uncertainty [RoU], $2.1 billion-$7.0 billion). The cost of untreated mental illness included $3.3 billion (RoU, $1.7 billion-$5.4 billion) in indirect costs, $708.5 million (RoU, $335 million-$1.2 billion) in direct health care costs, and $185.4 million (RoU, $29.9 million-$471.5 million) in nonhealth care costs., Conclusion and Relevance: This cross-sectional study found that untreated mental illness may have significant financial consequences for society. These findings put into perspective the case for action and should be considered by policymakers, clinicians, and employers when allocating societal resources and funding. States can replicate this comprehensive framework as they prioritize key areas for action regarding mental health services and treatments.

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., Competing Interests: Dr. Yeager has consulted for the Public Health National Center for Innovation and deBeaumont Foundation. Dr. Vest is an equity holder in Uppstroms, a health technology company. Dr. Mazurenko has received research grant funding from Security Risk Solutions. The other authors report no financial relationships with commercial interests.

Background and Objectives: More than nine million U.S. adults have a co-occurring mental health and substance use disorder. The self-medication hypothesis suggests that individuals with unmet need may alleviate the symptoms of their mental illness by using alcohol or drugs. We examine the relationship between unmet mental health need and subsequent substance use among individuals with a history of depression as well as differences in metro and nonmetro areas., Methods: We used repeated cross-sectional data from the National Survey on Drug Use and Health (NSDUH), 2015-2018 after identifying individuals with depression in the past year (n = 12,211). We used logistic regressions with interaction terms to examine the association between unmet need for mental health care and substance use by geographic location., Results: Unmet mental health need was associated with increased use of marijuana (odds ratio [OR] = 1.32, 95% confidence interval [CI]: 1.08-1.64), illicit drugs (OR = 1.75, 95% CI: 1.19-2.58), and prescription drugs (OR = 1.89, 95% CI: 1.19-3.00) among individuals with depression, which did not vary by geographic location. Unmet need was not associated with increased heavy alcohol drinking (OR = 0.87, 95% CI: 0.60-1.26)., Discussion and Conclusions: No differences in substance usage between metro and nonmetro populations were observed for those with an unmet need for mental health care. We found support for the self-medication hypothesis among individuals with depression with respect to alcohol., Scientific Significance: We examine whether individuals with depression and unmet care needs are more likely to self-medicate with substances including prescription drugs. Due to higher unmeet needs in nonmetro areas, we examine whether the likelihood of self-medication differs in metro and nonmetro areas., (© 2023 The Authors. The American Journal on Addictions published by Wiley Periodicals LLC on behalf of The American Academy of Addiction Psychiatry (AAAP).)

Purpose: To examine the longitudinal relationship between the age or shelf-life of common type 2 diabetes laboratory tests for serum creatinine, cholesterol, and glycated hemoglobin A1c conducted in outpatient settings and subsequent inpatient hospitalizations and emergency department visits., Methods: This study analyzes panel data from two healthcare delivery systems' electronic health records (EHR) for patients aged 18 years and older managing type 2 diabetes. We used EHR data to quantify the age of three laboratory tests: serum creatinine, cholesterol, and glycated hemoglobin A1c. Encounter data were used to determine the frequency of inpatient hospitalizations and emergency department visits. Negative binomial regressions with fixed effects were performed to compute marginal effects, levels of statistical significance, and 95% confidence intervals., Results: The average age for serum creatinine laboratory tests was 1.51 months (95%CI: 1.49-1.53). We computed older average ages for hemoglobin A1c (mean:6.17 months; 95%CI: 6.11-6.23) and serum creatinine tests (mean: 8.73; 95%CI: 8.65-8.81). Older laboratory tests were associated with an increase in the total expected counts of subsequent inpatient hospitalizations (ME = 0.047; p < 0.001) and ED visits (ME = 0.034; p < 0.001)., Conclusion: Findings from this study indicate that older type 2 diabetes laboratory tests are associated with increases in the total expected count of subsequent inpatient hospitalizations and emergency department visits. Future research should examine the actionability of laboratory test values to determine associations with healthcare outcomes., Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01250-0., Competing Interests: Competing InterestsThe authors of this study have no relevant financial or non-financial interests to disclose., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Objectives: Injuries are the leading cause of death among children and youth in the United States, representing a major concern to society and to the public and private health plans covering pediatric patients. Data from ALL Kids, Alabama's Children's Health Insurance Program, were used to evaluate the relationship between community-level social determinants of health (SDOH) and pediatric emergency department (ED) use and differences in these associations by age and race., Study Design: This was a retrospective, pooled cross-sectional analysis., Methods: We used ALL Kids data to identify ED visits (injury and all-cause) among children who were enrolled at any time from 2015 to 2017. Exploratory factor analysis was used to categorize SDOH from 18 selected Census tract-level variables. Multilevel Poisson regression models were used to evaluate the effects of community and individual factors and their interactions., Results: Census tract-level SDOH were grouped as low socioeconomic status (SES), urbanicity, and immigrant-density factors. Low SES and urbanicity factors were associated with ED visits (injury and all-cause). The low SES and urbanicity factors also moderated the association between race and ED visits (injury and all-cause)., Conclusions: The environment in which children live influences their ED use; however, the impact varies by age, race, and Census tract factors. Further studies should focus on specific community factors to better understand the relationship among SDOH, individual characteristics, and ED utilization.

Objective: To examine how in-person classroom instruction was related to risk of SARS-CoV-2 infection in undergraduate students. Participants: Indiana University undergraduate students (n = 69,606) enrolled in Fall 2020, when courses with in-person and remote instruction options were available. Methods: Students participated weekly in mandatory SARS-CoV-2 RT-PCR asymptomatic testing by random selection, supplemented with symptomatic testing as needed. We used log-binomial regression models to estimate the association between number of in-person credit hours and the risk of SARS-CoV-2 infection over the course of the semester. Results: Overall 5,786 SARS-CoV-2 cases were observed. Increased in-person credit hour exposures were not associated with increased risk of SARS-CoV-2 overall [aRR (95% CI): 0.98 (0.97,0.99)], nor within specific subgroups (Greek affiliation and class). Conclusions: In-person instruction did not appear to increase SARS-CoV-2 transmission in a university setting with rigorous protective measures in place, prior to mass vaccine rollout and prior to delta variant emergence.

To date, nutritional epidemiology has relied heavily on relatively weak methods including simple observational designs and substandard measurements. Despite low internal validity and other sources of bias, claims of causality are made commonly in this literature. Nutritional epidemiology investigations can be improved through greater scientific rigor and adherence to scientific reporting commensurate with research methods used. Some commentators advocate jettisoning nutritional epidemiology entirely, perhaps believing improvements are impossible. Still others support only normative refinements. But neither abolition nor minor tweaks are appropriate. Nutritional epidemiology, in its present state, offers utility, yet also needs marked, reformational renovation. Changing the status quo will require ongoing, unflinching scrutiny of research questions, practices, and reporting-and a willingness to admit that "good enough" is no longer good enough. As such, a workshop entitled "Toward more rigorous and informative nutritional epidemiology: the rational space between dismissal and defense of the status quo" was held from July 15 to August 14, 2020. This virtual symposium focused on: (1) Stronger Designs, (2) Stronger Measurement, (3) Stronger Analyses, and (4) Stronger Execution and Reporting. Participants from several leading academic institutions explored existing, evolving, and new better practices, tools, and techniques to collaboratively advance specific recommendations for strengthening nutritional epidemiology.

Objective: To determine whether preventive dental visits are associated with fewer subsequent nonpreventive dental visits and lower dental expenditures., Data Sources: Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resource File., Study Design: A repeated measures design with individual and year fixed effects examining the relationship between preventive dental visits (PDVs) and nonpreventive dental visits (NPVs) and dental expenditures., Data Collection/extraction Methods: Not applicable., Principal Findings: Of 28,152 adults (108,349 observation-years) meeting inclusion criteria, 36.0% had a dental visit, 27.8% a PDV, and 22.1% a NPV. Compared to no PDV in the prior year, at least one was associated with fewer NPVs (β = -0.13; 95% CI -0.12, -0.11), lower NPV expenditures (β = -$29.12.53; 95% CI -28.07, -21.05), and lower total dental expenditures (-$70.12; 95% -74.92, -65.31), as well as fewer PDVs (β = -0.24; 95% CI -0.26, -0.23)., Conclusions: Our findings suggest that prior year PDVs are associated with fewer subsequent NPVs and lower dental expenditures among Medicaid-enrolled adults. Thus, from a public insurance program standpoint, supporting preventive dental care use may translate into improved population oral health outcomes and lower dental costs among certain low-income adult populations, but barriers to consistent utilization of PDV prohibit definitive findings., (© 2022 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Purpose: This study is a scoping review of the different methods used to measure rurality in the health services research (HSR) literature., Methods: We identified peer-reviewed empirical studies from 2010-2020 from seven leading HSR journals, including the Journal of Rural Health, that used any definition to measure rurality as a part of their analysis. From each study, we identified the geographic unit (e.g., county, zip code) and definition (e.g., Rural Urban Continuum Codes, Rural Urban Commuting Areas) used to classify categories of rurality. We analyzed whether geographic units and definitions used to classify rurality differed by focus area of studies, including costs, quality, and access to care. Lastly, we examined the number of rural categories used by authors to assess rural areas., Findings: In 103 included studies, five different geographic units and 11 definitions were used to measure rurality. The most common geographic units used to measure rurality were county (n = 59, 57%), which was used most frequently in studies examining cost (n = 12, 75%) and access (n = 33, 57.9%). Rural Urban Commuting Area codes were the most common definition used to measure rurality for studies examining access (n = 13, 22.8%) and quality (n = 10, 44%). The majority of included studies made rural versus urban comparisons (n = 82, 80%) as opposed to focusing on rural populations only (n = 21, 20%). Among studies that compared rural and urban populations, most studies used only one category to identify rural locations (n = 49 of 82 studies, 60%)., Conclusion: Geographic units and definitions to determine rurality were used inconsistently within and across studies with an HSR focus. This finding may affect how health disparities by rural location are determined and thus how resources and federal funds are allocated. Future research should focus on developing a standardized system to determine under what circumstances researchers should use different geographic units and methods to determine rurality by HSR focus area., (© 2022. The Author(s).)