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Abstract 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 (χ2 = 7.43, p = 0.025). Compared to males, females responded at a higher percentage after 1 contact (21.4 vs. 17.9%, χ2 = 7.6, p = 0.023). Those over 60 years responded most often after 2 contacts (χ2 = 27.5, p

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.

Abstract 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.

Abstract Background SARS-CoV-2 reinfections are a public health concern because of the potential for transmission and clinical disease, and because of our limited understanding of whether and how well an infection confers protection against subsequent infections. Despite the public health importance, few studies have reported rigorous estimates of reinfection risk. Methods Leveraging Indiana University’s comprehensive testing program to identify both asymptomatic and symptomatic SARS-CoV-2 cases, we estimated the incidence of SARS-CoV-2 reinfection among students, faculty, and staff across the 2020–2021 academic year. We contextualized the reinfection data with information on key covariates: age, sex, Greek organization membership, student vs faculty/staff affiliation, and testing type. Results Among 12,272 people with primary infections, we found a low level of SARS-CoV-2 reinfections (0.6%; 0.4 per 10,000 person-days). We observed higher risk for SARS-CoV-2 reinfections in Greek-affiliated students. Conclusions We found evidence for low levels of SARS-CoV-2 reinfection in a large multi-campus university population during a time-period prior to widespread COVID-19 vaccination.

Abstract Background Much of what is known about COVID-19 risk factors comes from patients with serious symptoms who test positive. While risk factors for hospitalization or death include chronic conditions and smoking; less is known about how health status or nicotine consumption is associated with risk of SARS-CoV-2 infection among individuals who do not present clinically. Methods Two community-based population samples (including individuals randomly and nonrandomly selected for statewide testing, n = 8214) underwent SARS-CoV-2 testing in nonclinical settings. Each participant was tested for current (viral PCR) and past (antibody) infection in either April or June of 2020. Before testing, participants provided demographic information and self-reported health status and nicotine and tobacco behaviors (smoking, chewing, vaping/e-cigarettes). Using descriptive statistics and a bivariate logistic regression model, we examined the association between health status and use of tobacco or nicotine with SARS-CoV-2 positivity on either PCR or antibody tests. Results Compared to people with self-identified “excellent” or very good health status, those reporting “good” or “fair” health status had a higher risk of past or current infections. Positive smoking status was inversely associated with SARS-CoV-2 infection. Chewing tobacco was associated with infection and the use of vaping/e-cigarettes was not associated with infection. Conclusions In a statewide, community-based population drawn for SARS-CoV-2 testing, we find that overall health status was associated with infection rates. Unlike in studies of COVID-19 patients, smoking status was inversely associated with SARS-CoV-2 positivity. More research is needed to further understand the nature of this relationship.

Abstract Background The aim of this study was to identify the range of ways that safety net hospitals (SNHs) have been empirically operationalized in the literature and determine the extent to which patterns could be identified in the use of empirical definitions of SNHs. Methods We conducted a PRISMA guided systematic review of studies published between 2009 and 2018 and analyzed 22 articles that met the inclusion criteria of hospital-level analyses with a clear SNH definition. Results Eleven unique SNH definitions were identified, and there were no obvious patterns in the use of a definition category (Medicaid caseload, DSH payment status, uncompensated care, facility characteristics, patient care mix) by the journal type where the article appeared, dataset used, or the year of publication. Conclusions Overall, there is broad variability in the conceptualization of, and variables used to define, SNHs. Our work advances the field toward the development of standards in measuring, operationalizing, and conceptualizing SNHs across research and policy questions.

Public health education has long been concentrated in a core set of public health disciplines such as epidemiology, biostatistics, and environmental health. Despite leaps forward in our understanding of the myriad influences on public health, little has changed in the organization of our educational systems. One issue brought to the forefront of public consciousness by the COVID-19 pandemic is the importance of leisure experiences, such as nature walks, to mental and physical well-being. In this descriptive best practice article, we discuss our approach to expanding the notion of a school of public health and provide examples of how disciplines and subjects outside of the “norms” of public health education, including leisure studies, can help better prepare students for their future in the field. Leisure studies is just one of many subject areas that can add value to public health pedagogy, and we envision many other subject areas and departments integrating into schools of public health in the future.

BackgroundPrior studies examining symptoms of COVID-19 are primarily descriptive and measured among hospitalized individuals. Understanding symptoms of SARS-CoV-2 infection in pre-clinical, community-based populations may improve clinical screening, particularly during flu season. We sought to identify key symptoms and symptom combinations in a community-based population using robust methods.MethodsWe pooled community-based cohorts of individuals aged 12 and older screened for SARS-CoV-2 infection in April and June 2020 for a statewide prevalence study. Main outcome was SARS-CoV-2 positivity. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for individual symptoms as well as symptom combinations. We further employed multivariable logistic regression and exploratory factor analysis (EFA) to examine symptoms and combinations associated with SARS-CoV-2 infection.ResultsAmong 8214 individuals screened, 368 individuals (4.5%) were RT-PCR positive for SARS-CoV-2. Although two-thirds of symptoms were highly specific (>90.0%), most symptoms individually possessed a PPV ConclusionsSymptoms can help distinguish SARS-CoV-2 infection from other respiratory viruses, especially in community or urgent care settings where rapid testing may be limited. Symptoms should further be structured in clinical documentation to support identification of new cases and mitigation of disease spread by public health. These symptoms, derived from asymptomatic as well as mildly infected individuals, can also inform vaccine and therapeutic clinical trials.

This study explores the extent to which payment reform and other factors have motivated hospitals to adopt a vertical integration strategy. Using a multiple-case study research design, we completed case studies of 3 US health systems to provide an in-depth perspective into hospital adoption of subacute care vertical integration strategies across multiple types of hospitals and in different health care markets. Three major themes associated with hospital adoption of vertical integration strategies were identified: value-based payment incentives, market factors, and organizational factors. We found evidence that variation in hospital adoption of vertical integration into subacute care strategies occurs in the United States and gained a perspective on the intricacies of how and why hospitals adopt a vertical integration into subacute care strategy.

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.

Purpose: This paper aims to present demographic characteristics and postgraduate employment trends of business doctoral graduates, especially the proportion that are underrepresented minorities (URMs) over time. Design/methodology/approach: The authors analyze the near census of individuals receiving doctoral degrees in a wide range of business disciplines from US-accredited universities from 1973 to 2018 (n = 50,091) contained with the National Science Foundation Survey of Earned Doctorates. The authors analyze how the proportion of URM graduates, by discipline, has changed over time both in terms of receiving a doctoral degree and entering an academic position. Findings: The proportion of URM graduates fluctuated between approximately 5% and 15% annually, steadily increasing across decades. Overall, 64.4% of all graduates entered an academic position, with notably higher rates among whites (72.1%) compared to Blacks (51.8%), Hispanics (60.4%) and other URMs (56.4%) (p < 0.001). In adjusted models, the proportion of URMs that entered academic positions significantly increased overtime, beginning in the 1990s and peaked in the 2000s. Although the few institutions that graduated the highest number of URMs do not currently have an Association to Advance Collegiate Schools of Business-accredited business school, the authors identify several exemplar institutions where URM graduates entered academic jobs at the highest rates. Originality/value: The authors provide demographic trends that shed light on ways to influence an increase in URM doctoral graduates from business disciplines into academic careers. This discussion is of interest to university administrators and other stakeholders interested in diversity issues in higher education.

Devising effective cost-containment strategies in public insurance programs requires understanding the distribution of health care spending and characteristics of high-cost enrollees. The aim was to characterize high-cost enrollees in a state’s public insurance program and determine whether expenditure inequality changes over time, or with changes in cost-sharing policies or program eligibility. We use 1999-2011 claims and enrollment data from the Alabama Children’s Health Insurance Program, ALL Kids. All children enrolled in ALL Kids were included in our study, including multiple years of enrollment (N = 1,031,600 enrollee-months). We examine the distribution of costs over time, whether this distribution changes after increases in cost sharing and expanded eligibility, patient characteristics that predict high-cost status, and examine health services used by high-cost children to identify what is preventable. The top 10% (1%) of enrollees account for about 65.5% (24.7%) of total program costs. Inpatient and outpatient costs are the largest components of costs incurred by high-cost utilizers. Non-urgent emergency department costs are a relatively small portion. Average expenditure increases over time, particularly after expanded eligibility, and the share of costs incurred by the top 10% and 1% increases slightly. Multivariable logistic regression results indicate that infants and older teens, Caucasian children, and those with chronic conditions are more likely to be high-cost utilizers. Increased cost sharing does not reduce cost concentration or average expenditure among high-cost utilizers. These findings suggest that identifying and targeting potentially preventable costs among high-cost utilizers are called for to help reduce costs in public insurance programs.

This study investigates whether new enrollees in the Alabama Children’s Health Insurance Program have different claims experience from renewing enrollees who do not have a lapse in coverage and from continuing enrollees. The analysis compared health services utilization in the first month of enrollment for new enrollees (who had not been in the program for at least 12 months) with utilization among continuing enrollees. A second analysis compared first-month utilization of those who renew immediately with those who waited at least 2 months to renew. A 2-part model estimated the probability of usage and then the extent of usage conditional on any utilization. Claims data for 826 866 child-years over the period from 1999 to 2012 were used. New enrollees annually constituted a stable 40% share of participants. Among those enrolled in the program, 13.5% renewed on time and 86.5% of enrollees were late to renew their enrollment. In the multivariate 2-part models, controlling for age, gender, race, income eligibility category, and year, new enrollees had overall first-month claims experience that was nearly $29 less than continuing enrollees. This was driven by lower ambulatory use. Late renewals had overall first-month claims experience that was $10 less than immediate renewals. However, controlling for the presence of chronic health conditions, there was no statistically meaningful difference in the first-month claims experience of late and early renewals. Thus, differences in claims experience between new and continuing enrollees and between early and late renewals are small, with greater spending found among continuing and early renewing participants. Higher claims experience by early renewals is attributable to having chronic health conditions.

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 systembut 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

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.