Male mastodon landscape use changed with maturation (late Pleistocene, North America).

Under harsh Pleistocene climates, migration and other forms of seasonally patterned landscape use were likely critical for reproductive success of mastodons (Mammut americanum) and other megafauna. However, little is known about how their geographic ranges and mobility fluctuated seasonally or changed with sexual maturity. We used a spatially explicit movement model that coupled strontium and oxygen isotopes from two serially sampled intervals (5+ adolescent years and 3+ adult years) in a male mastodon tusk to test for changes in landscape use associated with maturation and reproductive phenology. The mastodon's early adolescent home range was geographically restricted, with no evidence of seasonal preferences. Following inferred separation from the matriarchal herd (starting age 12 y), the adolescent male's mobility increased as landscape use expanded away from his natal home range (likely central Indiana). As an adult, the mastodon's monthly movements increased further. Landscape use also became seasonally structured, with some areas, including northeast Indiana, used only during the inferred mastodon mating season (spring/summer). The mastodon died in this area (>150 km from his core, nonsummer range) after sustaining a craniofacial injury consistent with a fatal blow from a competing male's tusk during a battle over access to mates. Northeast Indiana was likely a preferred mating area for this individual and may have been regionally significant for late Pleistocene mastodons. Similarities between mammutids and elephantids in herd structure, tusk dimorphism, tusk function, and the geographic component of male maturation indicate that these traits were likely inherited from a common ancestor.

High-dose chemotherapy and peripheral blood stem cell transplantation as salvage therapy in primary mediastinal nonseminomatous germ cell tumors: The Indiana University experience.

BACKGROUND: Patients with relapsed primary mediastinal nonseminomatous germ cell tumor have low cure rates with salvage chemotherapy or surgery. The authors report survival outcomes of patients who received high-dose chemotherapy (HDCT) and peripheral blood stem cell transplantation (PBSCT) at Indiana University. METHODS: The prospectively maintained Indiana University germ cell tumor database identified 32 patients with primary mediastinal nonseminomatous germ cell tumor who progressed after first-line cisplatin-based combination chemotherapy and received HDCT and PBSCT between 2006 and 2021. Therapy included two consecutive courses of HDCT consisting of 700 mg/m2 carboplatin and 750 mg/m2 etoposide, each for 3 consecutive days, and each followed by PBSCT. A second course was not given if the patient experienced progressive disease or prohibitive toxicity. Progression-free survival and overall survival were analyzed using the Kaplan-Meier method. Medians with 95% confidence intervals were also calculated along with 2-year probabilities. RESULTS: The median age at HDCT was 30 years (range, 18-61 years). With a median follow-up of 4.7 years (range, 1-14 years), the 2-year progression-free survival rate was 31% (95% confidence interval, 16%-47%), and the 2-year overall survival rate was 35% (95% confidence interval, 19%-52%). At last follow-up, nine patients (28%) remained without evidence of disease, including two platinum-refractory patients and two patients who were receiving HDCT as third-line therapy. There were three treatment-related deaths. CONCLUSIONS: Salvage HDCT and PBSCT is an active combination in patients who have relapsed primary mediastinal nonseminomatous germ cell tumor with curative potential and prolonged survival, including in platinum-refractory and third-line settings. The authors recommend this approach for initial salvage chemotherapy in this patient population.

County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.

Objectives. To assess COVID-19 and influenza vaccination rates across Indiana's 92 counties and identify county-level factors associated with vaccination. Methods. We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. Results. COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = -1.22; 95% CI = -1.57, -0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = -0.97; 95% CI = -1.79, ‒0.15), and percentage who smoke (b = -0.75; 95% CI = -1.26, -0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = -0.07; 95% CI = -0.13, -0.01), percentage Hispanic (b = -0.28; 95% CI = -0.40, -0.17), percentage who smoke (b = -0.85; 95% CI = -1.06, -0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Conclusions. Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates. (Am J Public Health. 2024;114(4):415-423. https://doi.org/10.2105/AJPH.2023.307553).

Identifying overlaps and disconnects between media reports and official records of nonfatal firearm injuries in Indianapolis, Indiana, 2021-2022.

OBJECTIVE: Open-source data systems, largely drawn from media sources, are commonly used by scholars due to the lack of a comprehensive national data system. It is unclear if these data provide an accurate and complete representation of firearm injuries and their context. The study objectives were to compare firearm injuries in official police records with media reports to better identify the characteristics associated with media reporting. METHODS: Firearm injuries were identified in open-source media reports and compared to nonfatal firearm injury (n = 1642) data from official police records between January 1, 2021 to December 31, 2022 in Indianapolis, Indiana. Events were matched on date, location, and event circumstances. Four multivariate, multi-level mixed effects logistic regression models were conducted to assess which survivor, event, and community characteristics were associated with media reporting. Data were analyzed 2023 - January 2024. RESULTS: Media reported 41% of nonfatal shootings in 2021 and 45% in 2022(p < 0.05), which is approximately two out of every five shootings. Shootings involving multiple survivors, children, and self-defense were more likely to be reported, whereas unintentional shootings and shootings that occurred in structurally disadvantaged communities were less likely to be reported. CONCLUSIONS: Findings suggest that relying on media reports of firearm injuries alone may misrepresent the numbers and contexts of shootings. Public health interventions that educate journalists about these important issues may be an impactful firearm violence prevention strategy. Also, it is critical to link data systems at the local level to ensure interventions are designed and evaluated using accurate data.

Sexual Behavior and Sexual Decision-Making Among Gay, Bisexual, and Other Men Who Have Sex with Men During the COVID-19 Pandemic: Observations from a Rapid Ethnographic Assessment in Marion County, Indiana, October-November 2021.

From 2020 to 2021, Marion County, Indiana, USA, saw an increase in early syphilis diagnoses, primarily among gay, bisexual, and other men who have sex with men (GBMSM). This rapid ethnographic assessment combines survey data from GBMSM with data from key informant interviews with multiple groups of stakeholders, including GBMSM, to describe how COVID-19 impacted sexual behaviors, sexual decision-making, and access to sexually transmitted disease (STD) services among GBMSM in Marion County, Indiana. A total of 62 virtual, semi-structured qualitative interviews with 72 key respondents including health department staff, medical providers, community-based organization staff, and GBMSM were conducted from October 14 to November 22, 2021. Modifications to partner-seeking and sexual behaviors attributable to the pandemic were associated with the way in which individuals reacted to the pandemic in general. Some GBMSM adopted mitigation strategies to avoid COVID-19 when meeting sex partners, such as creating a "sex pod." Effects on mental health included increased loneliness, heightened anxiety, and a sense of hopelessness regarding the perceived inevitability of acquiring COVID-19. For some, the latter prompted decreased engagement in preventive measures when engaging in sexual activity. The pandemic decreased access to STD services and significantly curtailed public health outreach efforts, which may have limited access to needed STD treatment and care. Efforts focusing on ongoing public health concerns during extreme health events like COVID-19 may want to consider the many ways these events affect ancillary behaviors, such sexual decision-making and sexual behaviors. The role of mental health is key; messaging and guidance may benefit from a trauma-informed approach.

Exploring the role of salon professionals in identifying sex trafficking and violence victims in Indiana.

BACKGROUND: Sex trafficking victims often have touchpoints with salons for waxing, styling, and other body modification services required by traffickers. Recently, some states have administered laws requiring salon professionals to receive intimate partner violence (IPV)-related training, with even fewer states mandating training on identifying sex trafficking. This study aimed to understand how salon professionals have witnessed evidence of violence, including IPV and sex trafficking, in the workplace and to explore the differences in their approach to each type of victim. METHODS: In-depth interviews were conducted with salon professionals (N = 10) and law enforcement professionals/policymakers (N = 5). Content and thematic analysis techniques were used. RESULTS: Salon professionals typically identified potential violence through signs such as bruises, odd behavior, and client disclosures, prompting them to engage in cautious conversations. Yet, few were trained to identify and intervene. Often, they responded to suspected violence by talking with the client, sharing concerns with salon leadership, directly intervening on the client's behalf, or contacting the police. Law enforcement and salon professionals had suggestions about improving salon professionals' recognition of and response to violence, including training on victim-focused resources, creating a safe environment, and building relationships with law enforcement. They also suggested strengthening community partnerships to increase resource advocacy and reporting. CONCLUSIONS: One-on-one salon services may provide a unique opportunity to intervene and identify victims of violence, especially when empowered through additional training and collaborative partnerships with community-oriented policing initiates. Implementing training and community-based initiatives could aid salon professionals in gaining greater confidence in knowing what to do when serving a client who is a victim of IPV or sex trafficking.

Characterizing participants who respond to text, email, phone calls, or postcards in a SARS-CoV-2 prevalence study.

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 < 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.

Exploring the feasibility and acceptability of community paramedicine programs in achieving vaccination equity: a qualitative study.

BACKGROUND: Mobile Integrated Health-Community Paramedicine (MIH-CP) is a novel approach that may reduce the rural-urban disparity in vaccination uptake in the United States. MIH-CP providers, as physician extenders, offer clinical follow-up and wrap-around services in homes and communities, uniquely positioning them as trusted messengers and vaccine providers. This study explores stakeholder perspectives on feasibility and acceptability of community paramedicine vaccination programs. METHODS: We conducted semi-structured qualitative interviews with leaders of paramedicine agencies with MIH-CP, without MIH-CP, and state/regional leaders in Indiana. Interviews were audio recorded, transcribed verbatim, and analyzed using content analysis. RESULTS: We interviewed 24 individuals who represented EMS organizations with MIH-CP programs (MIH-CP; n = 10), EMS organizations without MIH-CP programs (non-MIH-CP; n = 9), and state/regional administrators (SRA; n = 5). Overall, the sample included professionals with an average of 19.6 years in the field (range: 1-42 years). Approximately 75% (n = 14) were male, and all identified as non-Hispanic white. MIH-CPs reported they initiated a vaccine program to reach underserved areas, operating as a health department extension. Some MIH-CPs integrated existing services, such as food banks, with vaccine clinics, while other MIH-CPs focused on providing vaccinations as standalone initiatives. Key barriers to vaccination program initiation included funding and vaccinations being a low priority for MIH-CP programs. However, participants reported support for vaccine programs, particularly as they provided an opportunity to alleviate health disparities and improve community health. MIH-CPs reported low vaccine hesitancy in the community when community paramedics administered vaccines. Non-CP agencies expressed interest in launching vaccine programs if there is clear guidance, sustainable funding, and adequate personnel. CONCLUSIONS: Our study provides important context on the feasibility and acceptability of implementing an MIH-CP program. Findings offer valuable insights into reducing health disparities seen in vaccine uptake through community paramedics, a novel and innovative approach to reduce health disparities in rural communities.

Insights from a COVID-era health needs assessment of rural Midwestern Latinos.

Latino health and well-being are crucial to the growth and vibrancy of rural areas across the United States, particularly at a time when the demographics of many rural communities are transitioning from minority Latino to majority Latino populations. This manuscript details the findings of a study that explored the health and healthcare benefit status of 524 Latino households in rural Indiana during the COVID-19 pandemic. Via 20-minute, door-to-door interviews conducted by bilingual researchers, survey participants answered questions about access to healthcare services and benefits, dietary and safety habits, medical issues, and vaccination status. The study found that slightly more than half of those surveyed were enrolled in healthcare benefit plans; approximately a third were unsatisfied with their health/health status; almost two-thirds had not received a flu shot and were eating fast food/processed food on a daily basis. Top health concerns reported included: stress (52%), vision problems (34%), neck and back pain (30%), headaches/migraines (28%), anxiety and depression (28%) and weight problems (26%). The study also discovered that half of the respondents could not identify a primary healthcare provider (PCP) by name and that pregnant women faced a lack of resources for maternal health in the county where the study was conducted. The results indicate that Latinos in rural communities continue to endure significant health issues and barriers to healthcare. The study provides an excellent model of how a rural community can monitor the health of its residents, which can inform health interventions for underserved populations.

A Comparative Analysis of the Demographics and Zip Codes of Patients Seen at the Indiana University Student Outreach Clinic.

Within a small geographic area, Marion County contains a stark spectrum of health outcomes and socioeconomic statuses. The Indiana University Student Outreach Clinic (IUSOC) serves as a safety net provider, offering free health and social services in the Near Eastside neighborhood of Indianapolis. The aim of this study was to characterize the demographics and geographic distribution of the IUSOC's patient population. From January to September 2023, 612 patients visited the IUSOC, and 460 self-identified as Marion County residents. 63.9% of patients were between 45 and 64 years old. 66.8% were Non-Hispanic (NH) Black, and 23.3% were Hispanic. 18.9% spoke Spanish and had limited English proficiency. Based on the Distressed Communities Index (DCI), 58.7% lived in "Distressed" zip codes, indicating economic vulnerability and disparities. The zip code with the greatest number of IUSOC patients had the highest rate of uninsured adults in Marion County. IUSOC patients are primarily middle-aged minorities who live in zip codes with low socioeconomic rankings by DCI. This information can be used to improve community resource referral pathways in the clinic.

Bayesian estimation of SARS-CoV-2 prevalence in Indiana by random testing.

From 25 to 29 April 2020, the state of Indiana undertook testing of 3,658 randomly chosen state residents for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, the agent causing COVID-19 disease. This was the first statewide randomized study of COVID-19 testing in the United States. Both PCR and serological tests were administered to all study participants. This paper describes statistical methods used to address nonresponse among various demographic groups and to adjust for testing errors to reduce bias in the estimates of the overall disease prevalence in Indiana. These adjustments were implemented through Bayesian methods, which incorporated all available information on disease prevalence and test performance, along with external data obtained from census of the Indiana statewide population. Both adjustments appeared to have significant impact on the unadjusted estimates, mainly due to upweighting data in study participants of non-White races and Hispanic ethnicity and anticipated false-positive and false-negative test results among both the PCR and antibody tests utilized in the study.

Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data.

BACKGROUND: Sjögren's disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through early oral manifestations prior to showing symptoms of clinically significant dry eyes or dry mouth. We examined the feasibility of utilizing a linked electronic dental record (EDR) and electronic health record (EHR) dataset to identify factors that could be used to improve early diagnosis prediction of SD in a matched case-control study population. METHODS: EHR data, including demographics, medical diagnoses, medication history, serological test history, and clinical notes, were retrieved from the Indiana Network for Patient Care database and dental procedure data were retrieved from the Indiana University School of Dentistry EDR. We examined EHR and EDR history in the three years prior to SD diagnosis for SD cases and the corresponding period in matched non-SD controls. Two conditional logistic regression (CLR) models were built using Least Absolute Shrinkage and Selection Operator regression. One used only EHR data and the other used both EHR and EDR data. The ability of these models to predict SD diagnosis was assessed using a concordance index designed for CLR. RESULTS: We identified a sample population of 129 cases and 371 controls with linked EDR-EHR data. EHR factors associated with an increased risk of SD diagnosis were the usage of lubricating throat drugs with an odds ratio (OR) of 14.97 (2.70-83.06), dry mouth (OR = 6.19, 2.14-17.89), pain in joints (OR = 2.54, 1.34-4.76), tear film insufficiency (OR = 27.04, 5.37-136.), and rheumatoid factor testing (OR = 6.97, 1.94-25.12). The addition of EDR data slightly improved model concordance compared to the EHR only model (0.834 versus 0.811). Surgical dental procedures (OR = 2.33, 1.14-4.78) were found to be associated with an increased risk of SD diagnosis while dental diagnostic procedures (OR = 0.45, 0.20-1.01) were associated with decreased risk. CONCLUSION: Utilizing EDR data alongside EHR data has the potential to improve prediction models for SD. This could improve the early diagnosis of SD, which is beneficial to slowing or preventing complications of SD.

Real-world data to support post-market safety and performance of embolization coils: evidence generation from a medical device manufacturer and data institute partnership.

BACKGROUND: Recognizing the limitations of pre-market clinical data, regulatory authorities have embraced total product lifecycle management with post-market surveillance (PMS) data to assess medical device safety and performance. One method of proactive PMS involves the analysis of real-world data (RWD) through retrospective review of electronic health records (EHR). Because EHRs are patient-centered and focused on providing tools that clinicians use to determine care rather than collecting information on individual medical products, the process of transforming RWD into real-world evidence (RWE) can be laborious, particularly for medical devices with broad clinical use and extended clinical follow-up. This study describes a method to extract RWD from EHR to generate RWE on the safety and performance of embolization coils. METHODS: Through a partnership between a non-profit data institute and a medical device manufacturer, information on implantable embolization coils' use was extracted, linked, and analyzed from clinical data housed in an electronic data warehouse from the state of Indiana's largest health system. To evaluate the performance and safety of the embolization coils, technical success and safety were defined as per the Society of Interventional Radiology guidelines. A multi-prong strategy including electronic and manual review of unstructured (clinical chart notes) and structured data (International Classification of Disease codes), was developed to identify patients with relevant devices and extract data related to the endpoints. RESULTS: A total of 323 patients were identified as treated using Cook Medical Tornado, Nester, or MReye embolization coils between 1 January 2014 and 31 December 2018. Available clinical follow-up for these patients was 1127 ± 719 days. Indications for use, adverse events, and procedural success rates were identified via automated extraction of structured data along with review of available unstructured data. The overall technical success rate was 96.7%, and the safety events rate was 5.3% with 18 major adverse events in 17 patients. The calculated technical success and safety rates met pre-established performance goals (≥ 85% for technical success and ≤ 12% for safety), highlighting the relevance of this surveillance method. CONCLUSIONS: Generating RWE from RWD requires careful planning and execution. The process described herein provided valuable longitudinal data for PMS of real-world device safety and performance. This cost-effective approach can be translated to other medical devices and similar RWD database systems.

Investigations into Economic Returns Resulting from Foliar Fungicides and Application Timing on Management of Tar Spot in Indiana Hybrid Corn.

Tar spot, caused by Phyllachora maydis, is the most significant yield-limiting disease of corn (Zea mays L.) in Indiana. Currently, fungicides are an effective management tool for this disease, and partial returns from their use under different disease severity conditions has not previously been studied. Between 2019 and 2021, two separate field experiments were conducted in each year in Indiana to assess the efficacy of nine foliar fungicide products and nine fungicide application timings based on corn growth stages on tar spot symptoms and stromata, canopy greenness, yield, and influence on partial returns. All fungicides evaluated significantly suppressed tar spot development in the canopy and increased canopy greenness over the nontreated control. Additionally, applications of mefentrifluconazole + pyraclostrobin, metconazole + pyraclostrobin, cyproconazole + picoxystrobin at tassel, and propiconazole + benzovindiflupyr + azoxystrobin between the tassel and dough growth stages were the most effective at significantly reducing disease severity, increasing canopy greenness, protecting yield, and offered the greatest partial return. Fungicide products varied in their ability to protect yield under low and high disease severity conditions relative to the nontreated control. Consistently, positive yield increases were observed when disease severity was high, which translated to greater profitability relative to low severity conditions. On average, the yield increases across foliar fungicide products and timed application treatments were 544.6 and 1,020.7 kg/ha greater, and partial returns using a grain value of $0.17/kg were $92.6/ha and $173.5/ha greater, respectively, when high severity conditions occurred. This research demonstrates that foliar fungicides and appropriately timed fungicide applications can profitably be used to manage tar spot in Indiana under high disease severity conditions.

PrEP prescription in indiana 2017-2022: Implications for clinical practice.

The Ending the HIV Epidemic initiative is poised to eradicate HIV through increasing screening and linkage to care. Despite this, the rate of HIV testing remains inadequate, and effective preventive measures like pre-exposure prophylaxis (PrEP) are not adequately prescribed. A retrospective chart review was conducted to include 2017 through July 2022 from a large nonprofit health care system in the Midwest. Inclusion criteria included an HIV-negative diagnosis between 2017 and July 2022. Additional information includes gender, age, race/ethnicity, the primary payment method, the facility where screening occurred, history of PrEP prescription, and the provider who documented sexual health screening. Most patients were female (73%, n = 3366), followed by 27% (n = 1242) who identified as male. The majority identified as white (52.4%, n = 2415), and patients who identified as Black represented 45.3% (n = 2087) of the sample. Of the participants in the sample, n = 3030 (65.8%) did not have a documented sexual health assessment at the time of HIV screening. Black patients were 0.40 times less likely to report a PrEP prescription than their white counterparts. Patients screened by the provider and identified with infectious disease via a sexual mode of transmission demonstrated three times increased odds of being prescribed PrEP. This research highlights the importance of updating medical records systems to capture salient sexual health factors. Ongoing professional development should be made readily available so providers can conduct comprehensive sexual health assessments.

Pepea Pamoja:† Applying the Ecological Validity Framework to co-develop a wellbeing and behavioural training program for caregivers of young children with autism in low-resource settings of Kenya and the United States.

BACKGROUND: Autism is a complex neurodevelopmental disability with global prevalence of one in 100 individuals. Poor access to interventions in both under-resourced regions of high-income countries and low- and middle-income countries has deleterious effects on the health and wellbeing of individuals with autism and their families. Our objective was to utilize a reciprocal innovation framework and participatory methods to adapt and co-develop a culturally grounded group-based wellbeing and naturalistic developmental behavioural intervention (NDBI) training program for caregivers of young children with autism to be implemented in Kenya and rural Indiana. METHODS: This study was conducted within the Academic Model Providing Access to Healthcare (AMPATH) program. An evidence-informed Naturalistic Developmental Behavioral Intervention (NDBI) previously utilized in Indiana was adapted and iteratively refined using the Ecological Validity Framework (EVF) by a team of US and Kenyan disability experts. Key adaptations to the program were made across the EVF domains of language, persons, metaphors/content, concepts, goals, methods, and context. RESULTS: Substantial cultural adaptations were made to the NDBI following the EVF model, including the addition of traditional Kenyan cultural practices, use of narrative principles, and focus on daily routines over play. Pepea, the adapted program, involves 10 group sessions covering content in basic education on autism, positive caregiver coping strategies, and behavioural skills training to promote child communication and reduce challenging behaviour. Key adaptations for Pepea were integrated back into a US NDBI caregiver training program. CONCLUSIONS: This study fills a critical gap by detailing the adaptation process of a caregiver wellbeing and naturalistic developmental behavioural training program for caregivers of children with autism in low-resource settings. Our next steps are to report on mixed-methods outcomes from pilot implementation. Our long-term goal is to apply these insights to advance sustainable and scalable autism intervention services across the globe.

A community-based participatory research approach to evaluating and improving hepatitis C risk, knowledge, and stigma associations among people who inject substances in Indiana.

OBJECTIVES: To explore hepatitis C risk, knowledge, and stigma among individuals who inject substances in South Central Indiana. DESIGN: A cross-sectional study design was employed using a community-based participatory research approach. The community partner was a grassroots harm reduction organization. SAMPLE: Participants in this study were at least 18 years of age, current residents of Indiana, and self-identified as injection substance users (n = 179). MEASUREMENTS: The survey measured hepatitis C risk, knowledge, and stigma, as well as differences in hepatitis C risk scores among key demographic characteristics. RESULTS: Most participants identified as male (n = 106, 59%), White (n = 139, 78%), and straight (n = 143, 80%). People of color reported lower hepatitis C knowledge than White participants. Women had significantly lower hepatitis C knowledge compared with men. LGBTQ participants reported increased hepatitis C risk compared with straight participants. Increased frequency of substance use was associated with decreased stigma. Unhoused participants demonstrated significantly lower hepatitis C knowledge compared with housing-secure participants. CONCLUSIONS: Our findings increase understanding that knowledge and risk around hepatitis C are associated with demographic characteristics. Results underscore the need for tailored public health interventions to increase hepatitis C knowledge, reduce stigma, and improve testing and treatment among vulnerable populations.

Conducting a Comprehensive Assessment of the Public Health Workforce: Lessons Learned and Opportunities for the Future.

Indiana was one of the earliest states to conduct a comprehensive public health workforce assessment in preparation for the use of federal funds for infrastructure strengthening. Experiences from this assessment provide insights that may be useful to other public health agencies and partners. This brief summarizes key lessons and highlights opportunities for improved workforce assessments. For example, the lack of standardized job titles within local health departments (LHDs) can be mitigated by collecting the top 3 job tasks employees engage in daily and reassigning standardized titles based on nationally collected workforce data. This facilitates comparisons across LHD employees nationally. In addition, many employees felt their job tasks did not align well with the Foundational Public Health Services (FPHS) areas and capabilities, which contributed to the likely overestimation of effort. Further consideration of how to better align and/or integrate FPHS assessment within current practice is needed in addition to improved ways of assessing efforts toward FPHS.

Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health records (EHRs) are an emerging chronic disease surveillance data source and facilitating this data sharing is complex. PROGRAM: Using the experience of the Multi-State EHR-Based Network for Disease Surveillance (MENDS), this article describes implementation of a governance framework that aligns technical, statutory, and organizational requirements to facilitate EHR data sharing for chronic disease surveillance. IMPLEMENTATION: MENDS governance was cocreated with data contributors and health departments representing Texas, New Orleans, Louisiana, Chicago, Washington, and Indiana through engagement from 2020 to 2022. MENDS convened a governance body, executed data-sharing agreements, and developed a master governance document to codify policies and procedures. RESULTS: The MENDS governance committee meets regularly to develop policies and procedures on data use and access, timeliness and quality, validation, representativeness, analytics, security, small cell suppression, software implementation and maintenance, and privacy. Resultant policies are codified in a master governance document. DISCUSSION: The MENDS governance approach resulted in a transparent governance framework that cultivates trust across the network. MENDS's experience highlights the time and resources needed by EHR-based public health surveillance networks to establish effective governance.

"Modernism with a Soul": Designing and Building Communities for Corporate and Civic Life.

This essay explores how film, feature and documentary, can offer a new perspective on modernist architecture, industrial design, and urban planning. Through the lens of two young directors, Kogonada and Davide Maffei, it traces the histories of two twentieth-century company towns: Ivrea, Italy, headquarters of Italian business machine giant Olivetti, and Columbus, Indiana, U.S.A., home to Cummins Inc., a global leader in diesel engine design and manufacturing. Adriano Olivetti and J. Irwin Miller shared the conviction that modernist architecture and design had a decisive role to play not just in the economic health of their respective firms but in the civic health of their surrounding communities. These companies have long abandoned the corporate idealism of their founding patrons. In film, Ivrea and Columbus have become architectural time capsules that raise important questions about the transformative power of architecture and design in the face of an increasingly competitive global economy.