Adherence, health care utilization, and costs between long-acting injectable and oral antipsychotic medications in South Carolina Medicaid beneficiaries with schizophrenia.

BACKGROUND: Schizophrenia and schizoaffective disorder require long-term antipsychotic treatment with antipsychotic medications, but poor medication adherence can lead to increased health care utilization and costs. Long-acting injectable antipsychotics (LAIs) offer potential therapeutic advantages in that they require less frequent dosing and improved medication adherence. South Carolina has the highest adoption of LAIs among US states, making it an ideal population for comparing the effectiveness of LAIs vs oral antipsychotics (OAPs) in treating schizophrenia or schizoaffective disorder. OBJECTIVE: To evaluate the effect of LAIs compared with OAPs on medication adherence, health care resource utilization, and costs among South Carolina Medicaid beneficiaries with schizophrenia or schizoaffective disorder. METHODS: South Carolina Medicaid beneficiaries with at least 1 claim for an LAI or OAP between January 1, 2015, and December 31, 2018, aged 18 to 65, with at least 2 claims with diagnoses of schizophrenia or schizoaffective disorder were included. Propensity scores (PSs) were calculated using logistic regression adjusting for confounders and predictors of the outcome. We estimated the "average treatment effect on the treated" by employing PS-weighted t-tests and chi-square tests. RESULTS: A total of 3,531 patients met the inclusion criteria, with 1,537 (44.5%) treated with LAIs and 1,994 (56.5%) treated with OAPs. In PS-weighted analyses, the LAI cohort had a greater proportion of days covered than the OAP cohort with a 365-day fixed denominator (69% vs 64%; P < 0.0001), higher medication possession ratio with a variable denominator while on therapy (85% vs 80%; P < 0.0001), and higher persistence (82% vs 64%; P < 0.0001). The average number of inpatient visits and emergency department visits did not significantly differ between cohorts (0.28 hospitalizations, P = 0.90; 3.68 vs 2.96 emergency department visits, P = 0.19). The number of outpatient visits, including visits for medication administration, were greater in the LAI cohort (23.1 [SD 24.2]) vs OAP (16.9 [SD 21.2]; P < 0.0001); however, including the costs for medication administration visits, outpatient costs (per member) were approximately $2,500 lower in the LAI cohort (P < 0.0001). The number of pharmacy visits was greater in the OAP cohort (LAI 21.0 [SD 17.0] vs OAP 23.0 [SD 15.0]; P = 0.006). All-cause total costs were greater in the LAI cohort ($26,025 [SD $29,909]) vs the OAP cohort ($17,291 [SD $25,261]; P < 0.0001) and were driven by the difference in pharmaceutical costs (LAI $15,273 [SD $16,183] vs OAP $4,696 [SD $10,371]; P < 0.0001). CONCLUSIONS: Among South Carolina Medicaid beneficiaries, treatment with LAIs for schizophrenia or schizoaffective disorder was associated with greater medication adherence rates. Patients using LAIs had higher drug costs and total costs, but lower outpatient and total nondrug costs compared with those using OAPs.

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data.

BACKGROUND: Using claims data to identify a predominant prenatal care (PNC) provider is not always straightforward, but it is essential for assessing access, cost, and outcomes. Previous algorithms applied plurality (providing the most visits) and majority (providing majority of visits) to identify the predominant provider in primary care setting, but they lacked visit sequence information. This study proposes an algorithm that includes both PNC frequency and sequence information to identify the predominant provider and estimates the percentage of identified predominant providers. Additionally, differences in travel distances to the predominant and nearest provider are compared. METHODS: The dataset used for this study consisted of 108,441 live births and 2,155,076 associated South Carolina Medicaid claims from 2015-2018. Analysis focused on patients who were continuously enrolled throughout their pregnancy and had any PNC visit, resulting in 32,609 pregnancies. PNC visits were identified with diagnosis and procedure codes and specialty within the estimated gestational age. To classify PNC providers, seven subgroups were created based on PNC frequency and sequence information. The algorithm was developed by considering both the frequency and sequence information. Percentage of identified predominant providers was reported. Chi-square tests were conducted to assess whether the probability of being identified as a predominant provider for a specific subgroup differed from that of the reference group (who provided majority of all PNC). Paired t-tests were used to examine differences in travel distance. RESULTS: Pregnancies in the sample had an average of 7.86 PNC visits. Fewer than 30% of the sample had an exclusive provider. By applying PNC frequency information, a predominant provider can be identified for 81% of pregnancies. After adding sequential information, a predominant provider can be identified for 92% of pregnancies. Distance was significantly longer for pregnant individuals traveling to the identified predominant provider (an average of 5 miles) than to the nearest provider. CONCLUSIONS: Inclusion of PNC sequential information in the algorithm has increased the proportion of identifiable predominant providers by 11%. Applying this algorithm reveals a longer distance for pregnant individuals travelling to their predominant provider than to the nearest provider.

Barriers and facilitators to involvement in cancer education opportunities among South Carolina cancer care professionals: A cancer training and diversity, equity, and inclusion training needs assessment.

INTRODUCTION: It is estimated that 1.9 million new cases of cancer will be diagnosed in 2023, with 33,890 occurring in South Carolina. Assessing the needs, barriers, and facilitators of healthcare professionals' (HCP) education in South Carolina is a step towards creating meaningful, equity-promoting cancer-based education/training. METHODS: We developed a mixed-methods REDCap survey instrument to assess HCP needs, which we disseminated via email to HCPs from divisions involved in cancer care in a South Carolina academic medical center health system. We analyzed quantitative data with univariate frequency analysis and employed an inductive content analysis approach for qualitative data. RESULTS: The response rate for the survey was 33.0% (95/284) and 44.2% (42/95) of respondents reported a perceived barrier to attending educational programming, with majority citing time. Most respondents (71.8%) self-identified as non-Hispanic White. HCPs reported having clear interests in trainings, particularly ones focused on additional training in diversity, equity, and inclusion (DEI). Other identified educational needs included cancer treatment updates, nutrition, mental health, and social risk factors. Receiving credits for the trainings was a motivator for both general topics and DEI topics (94.7% and 74.7%, respectively). CONCLUSIONS: There is a need to better align cancer education delivery for HCPs with their training needs and busy schedules as has been a demonstrated want by HCPs in topics that would increase knowledge and practice of DEI. As majority of respondents identified as non-Latine White, it is imperative to diversify the knowledge of the workforce to ensure that HCPs provide optimal care to patients from diverse backgrounds.

Contraceptive Method Use Among a Population-Based Cohort During the South Carolina Choose Well Initiative.

Importance: Evaluating the impact of statewide contraceptive access initiatives is necessary for informing health policy and practice. Objective: To examine changes in contraceptive method use among a cohort of women of reproductive age in South Carolina during the Choose Well contraceptive access initiative. Design, Setting, and Participants: In this cohort study, baseline data from the initial Statewide Survey of Women administered from October 1, 2017, to April 30, 2018, to a probability-based sample of women of reproductive age in South Carolina and a peer state (Alabama) were linked with 3 follow-up surveys given in 2019, 2020, and 2021. Responses about contraception use from the initial survey were compared with responses across follow-up surveys using the regression-based differences-in-differences method. Data analysis was performed from October 2023 to February 2024. Exposure: The South Carolina Choose Well contraceptive access initiative seeks to fill contraceptive access gaps and increase provision of a full range of contraceptive methods through engagement with a wide range of health care organizations across the state. Main Outcomes and Measures: Changes in contraceptive method use, including long-acting reversible contraception (LARC), intrauterine devices (IUDs), implants, short-acting hormonal injection, and barrier or other methods between the baseline survey (2017-2018) and 3 subsequent surveys (2019-2021). Results: A total of 1344 female participants (mean [SD] age, 34 [7] years) completed the first survey (667 in Alabama and 677 in South Carolina). Use of LARC significantly increased in South Carolina (119 [17.6%] to 138 [21.1%]) compared with Alabama (120 [18.0%] to 116 [18.1%]; P = .004). Use of IUDs increased in South Carolina (95 [14.0%] to 114 [17.4%]) compared with Alabama (92 [13.8%] to 102 [15.9%]; P = .003). These associations persisted in the adjusted analysis, with a significant increase in the odds of LARC (adjusted odds ratio, 1.24; 95% CI, 1.06-1.44) and IUD (adjusted odds ratio, 1.19; 95% CI, 1.06-1.32) use at follow-up in South Carolina compared with Alabama. Conclusions and Relevance: In this cohort study of 1344 participants, increases in the use of IUDs in South Carolina were noted after the implementation of the South Carolina Choose Well initiative that were not observed in a peer state with no intervention. Our findings may provide support in favor of statewide contraceptive access initiatives and their role in promoting access to reproductive health services.

Intimate Partner Violence and Antenatal Depression Among Underserved Pregnant Women.

Introduction: Few studies have examined the associations of intimate partner violence (IPV) exposure during pregnancy and types of IPV with antenatal depression among underserved pregnant women. Methods: Data came from participants from a Healthy Start program in South Carolina between 2015 and 2019 (n = 1,629). The first two questions in the Woman Abuse Screening Tool (WAST) were used to measure IPV exposure, that is, having a problematic relationship with their partner. Those who had IPV exposure were assessed with six additional questions of the WAST. Principal component analysis was conducted on the 8-item WAST data to identify underlying types of IPV exposure. Antenatal depression was defined as the Center for Epidemiologic Studies Depression scores ≥16. Results: Participants were racially diverse (71% black, 21% white) with 85% Medicaid recipients. Nearly 12% of participants reported IPV exposure and 30% reported antenatal depression. The odds of having IPV exposure were higher among unmarried women, those with less than a high school education, and those who lacked family support. The odds of having antenatal depression were 2.5 times higher (95% CI: 1.9-3.5) among women with IPV exposure. After controlling for covariates, a one-point increase in the scores for psychological IPV (Factor 1) or a problematic relationship (Factor 3) was associated with increased odds of antenatal depression. Conclusion: This is one of the first studies to estimate the prevalence of IPV exposure using a proxy measure (a problematic relationship) among underserved U.S. pregnant women. Its positive association with antenatal depression suggests the utility of screening for a problematic relationship using a two-item WAST and providing assistance to those with IPV exposure.

"Don't fuss at our staff": A moral economy of volunteerism in South Carolina safety net clinics.

In South Carolina, a state that has foregone Medicaid expansion, working poor residents often rely on safety net clinics for medical care. This care often occurs far from major hospitals, in different, inferior, spaces where limited services are provided in lesser circumstances. The temporary and conditional aid provided in these clinics is meant as a last resort, but often serves as the only source of care for many working poor patients, who must manage the effects of sustained precarity and protracted immiseration with conditional aid provided by volunteers. Here I explore the function that volunteering plays in regulating patients' utilization, and ability to contest, the quality of safety net care. Using ethnographic examples and interview data I show how the needs of patients-referred to in the clinics as "clients"-are managed and contained by a moral economy of volunteer care. These reciprocal obligations of debt and duty preclude working poor patients from making demands of, or lodging complaints against, the free clinics' staff, due to their capacity as volunteers, and leaves the state's safety net effectively unassailable to accusations of inefficacy or neglect. Consequently, patients must defer care, ignore episodes of maltreatment, and ration and share prescription medications, lest they be considered recusant or deemed not sufficiently appreciative of the volunteer staff dedicating their time to them. As a result of this moral economy, the plight of the state's uninsured working poor residents goes under-recognized as the safety net absorbs their cases, hiding the attritional nature of the ostensibly free care they receive and ration.

Integrating fish swimming abilities into rapid road crossing barrier assessment: Case studies in the southeastern United States.

Many aquatic networks are fragmented by road crossing structures; remediating these barriers to allow fish passage is critical to restoring connectivity. Maximizing connectivity requires effective barrier identification and prioritization, but many barrier prioritization efforts do not consider swimming capabilities of target species. Given the many potential barriers within watersheds, inventory efforts integrating species-specific swimming speeds into rapid assessment protocols may allow for more accurate barrier removal prioritization. In this study, we demonstrate an approach for integrating fish swimming speeds into rapid barrier assessment and illustrate its utility via two case studies. We measured critical swimming speeds (Ucrit) of two stream-resident fish species with very different swimming modes: Yoknapatawpha Darter (Etheostoma faulkneri), an at-risk species whose current distribution is restricted to highly degraded habitat, and Bluehead Chub (Nocomis leptocephalus), an important host species for the federally endangered Carolina Heelsplitter mussel (Lasmigona decorata). We assessed potential barriers for Yoknapatawpha Darters in the Mississippi-Yocona River watershed, and Bluehead Chubs in the Stevens Creek watershed, South Carolina, USA. We integrated Ucrit into the Southeast Aquatic Resources Partnership (SARP) barrier assessment protocol by estimating the proportion of individuals per species swimming at least as fast as the current through the assessed structures. Integrating Ucrit estimates into the SARP protocol considerably increased barrier severity estimates and rankings only for Yoknapatawpha Darters in the Yocona River watershed. These results indicate the importance of including species-specific swimming abilities in rapid barrier assessments and the importance of species-watershed contexts in estimating where swimming speed information might be most important. Our method has broad application for those working to identify barriers more realistically to improve species-specific fish passage. This work represents a next step in improving rapid barrier assessments and could be improved by investigating how results change with different measurements of swimming abilities and structure characteristics.

Human spotted fever group Rickettsia seroprevalence and associated epidemiologic factors among diverse, marginalized populations in South Carolina.

Illness caused by spotted fever group Rickettsia (SFGR) is increasing nationally, with affluent, white residents most likely to be diagnosed. The common under-representativeness of marginalized populations in research studies and these vulnerable populations' health inequities make veritable epidemiologic risk factor profiling challenging, which inhibits equitable public health intervention. The current study leveraged 749 banked sera and associated surveys from a cross-sectional minority-represented COVID-19 study to perform an SFGR seroprevalence investigation. SFGR titers (1:64, 1:128, 1:256, 1:512, and 1:1024) were measured using commercially available indirect fluorescent antibody slides-SFGR positive cases were defined as titers ≥1:128. Multivariable logistic regression and Getis-Ord-Gi* hotspot analyses were used to identify seropositivity-associated factors and determine seropositive clusters. Among a mostly minority and lower socioeconomic population, a 3.4 % SFGR seropositivity was noted at the ≥1:128 titer level. Male gender (Odds Ratio (OR): 3.20; adjusted Odds Ratio (aOR)s: 3.73), age (aOR: 1.05), any frequency of tick bite (OR: 2.29), and spending time working outdoors (OR: 5.05) were associated with SFGR IgG seropositivity. Moreover, the geospatial analysis showed clusters of seropositivity in areas where previous case reports occurred, suggesting potential endemic foci.

Understanding social risk factors of county-level disparities in COVID-19 tests per confirmed case in South Carolina using statewide electronic health records data.

BACKGROUND: COVID-19 testing is essential for pandemic control, and insufficient testing in areas with high disease burdens could magnify the risk of poor health outcomes. However, few area-based studies on COVID-19 testing disparities have considered the disease burden (e.g., confirmed cases). The current study aims to investigate socioeconomic drivers of geospatial disparities in COVID-19 testing relative to disease burden across 46 counties in South Carolina (SC) in the early (from April 1, 2020, to June 30, 2020) and later (from July 1, 2020, to September 30, 2021) phases of the pandemic. METHODS: Using SC statewide COVID-19 testing data, the COVID-19 testing coverage was measured by monthly COVID-19 tests per confirmed case (hereafter CTPC) in each county. We used modified Lorenz curves to describe the unequal geographic distribution of CTPC and generalized linear mixed-effects regression models to assess the association of county-level social risk factors with CTPC in two phases of the pandemic in SC. RESULTS: As of September 30, 2021, a total of 641,201 out of 2,941,227 tests were positive in SC. The Lorenz curve showed that county-level disparities in CTPC were less apparent in the later phase of the pandemic. Counties with a larger percentage of Black had lower CTPC during the early phase (ß = -0.94, 95%CI: -1.80, -0.08), while such associations reversed in the later phase (ß = 0.28, 95%CI: 0.01, 0.55). The association of some other social risk factors diminished as the pandemic evolved, such as food insecurity (ß: -1.19 and -0.42; p-value is < 0.05 for both). CONCLUSIONS: County-level disparities in CTPC and their predictors are dynamic across the pandemic. These results highlight the systematic inequalities in COVID-19 testing resources and accessibility, especially in the early stage of the pandemic. Counties with greater social vulnerability and those with fewer health care resources should be paid extra attention in the early and later phases, respectively. The current study provided empirical evidence for public health agencies to conduct more targeted community-based testing campaigns to enhance access to testing in future public health crises.

Identifying Risk Factors Associated with Repeated Referrals Within a Pediatric Navigation Program.

Approximately 1-in-5 children have a diagnosed mental, behavioral, and/or developmental disorder or delay by age 8 in the United States. Children with such conditions often require complex, complicated diagnostic and specialty care, making them susceptible to repeated referrals and ongoing unmet healthcare needs. Patient navigation programs (PNPs) are designed to integrate care from primary care providers to community-based services, using trained navigators to help patients and their families manage referrals and connect with referred services. This study examines factors associated with repeated referrals to an active PNP to inform ongoing referral patterns and adaptations to standard navigation support within a large healthcare system in South Carolina (SC). Data is sourced from the inception of the PNP in 2017 through 2022, including 15,702 referrals. Overall, 71.07% had no repeated referrals. Children who are older, diagnosed with attention deficit disorder(s), behavioral concerns, depression, multiple referral needs, and insured by Medicaid were found to be most susceptible to repeated referrals. Conversely, children who are non-Hispanic Black, were referred at a well-child visit, and are primarily insured by private insurance or Tricare were least likely to have repeated referrals. Children who are insured by Medicaid are more likely to be younger, identify as non-Hispanic Black, Hispanic, or another race/ethnicity, and have multiple needs at time of initial referral, identifying a potentially compounded risk for those who hold multiple risk factors to experiencing repeated referrals. Findings may inform adaptations to this PNP model to adjust navigator protocol for at-risk populations and equitably optimize referral-to-service connection.

Impact of the Choose Well Contraceptive Access Initiative on Method Use Among Women Enrolled in South Carolina's Medicaid Program: A Mid-line Assessment.

INTRODUCTION: A six-year statewide contraceptive access initiative focused on equitable access to contraception, removing cost barriers, capacity building and training, raising consumer awareness, and expanding contraceptive care at safety net clinics was implemented in South Carolina beginning in 2017. This study assessed changes in contraceptive method use among women enrolled in the South Carolina Medicaid program during the first three years of Choose Well. METHODS: Contraception use among a retrospective cohort of women aged 15 to 45 enrolled in South Carolina Medicaid from 2012 to 2020 was examined. Interrupted time series regression analysis was used to assess changes in the use of intrauterine devices (IUDs) and contraceptive implants between 2012 and 2016 and 2017 and 2020. Analyses were conducted for all women and stratified by age groups. RESULTS: Long-acting reversible contraception use increased from 8.5% during the pre-Choose Well period to 10.9% during the Choose Well period (p < .001), with IUD use increasing from 4.3% to 5.2% (p < .001) and implant use increasing from 4.6% to 6.0% (p < .001). The interrupted time series analysis found a significant positive change in the average level of monthly IUD use after Choose Well began (0.493 percentage points; 95% confidence interval, 0.311-0.675). The effect was stronger among women 20 to 25 years of age. Choose Well significantly increased the trend in IUD use among all women by a positive 0.013 percentage points (95% confidence interval, 0.006-0.020) per month beyond expected values. CONCLUSIONS: At the mid-point of the Choose Well Evaluation, the use of IUD methods increased significantly beyond what would be expected had pre-Choose Well trends continued. This was particularly evident among women 20 to 25 years of age. These findings suggest that Choose Well succeeded in reducing barriers to the use of IUDs.

Emergency department use and geospatial variation in social determinants of health: a pilot study from South Carolina.

BACKGROUND: Health systems are increasingly addressing patients' social determinants of health (SDoH)-related needs and investigating their effects on health resource use. SDoH needs vary geographically; however, little is known about how this geographic variation in SDoH needs impacts the relationship between SDoH needs and health resource use. METHODS: This study uses data from a SDoH survey administered to a pilot patient population in a single health system and the electronic medical records of the surveyed patients to determine if the impact of SDoH needs on emergency department use varies geospatially at the US Census block group level. A Bayesian zero-inflated negative binomial model was used to determine if emergency department visits after SDoH screening varied across block groups. Additionally, the relationships between the number of emergency department visits and the response to each SDoH screening question was assessed using Bayesian negative binomial hurdle models with spatially varying coefficients following a conditional autoregressive (CAR) model at the census block group level. RESULTS: Statistically important differences in emergency department visits after screening were found between block groups. Statistically important spatial variation was found in the association between patient responses to the questions concerning unhealthy home environments (e.g. mold, bugs/rodents, not enough air conditioning/heat) or domestic violence/abuse and the mean number of emergency department visits after the screen. CONCLUSIONS: Notable spatial variation was found in the relationships between screening positive for unhealthy home environments or domestic violence/abuse and emergency department use. Despite the limitation of a relatively small sample size, sensitivity analyses suggest spatially varying relationships between other SDoH-related needs and emergency department use.

Annual Prevalence of Opioid Receipt by South Carolina Medicaid-Enrolled Children and Adolescents: 2000-2020.

Understanding patterns of opioid receipt by children and adolescents over time and understanding differences between age groups can help identify opportunities for future opioid stewardship. We conducted a retrospective cohort study, using South Carolina Medicaid data for children and adolescents 0-18 years old between 2000-2020, calculating the annual prevalence of opioid receipt for medical diagnoses in ambulatory settings. We examined differences in prevalence by calendar year, race/ethnicity, and by age group. The annual prevalence of opioid receipt for medical diagnoses changed significantly over the years studied, from 187.5 per 1000 in 2000 to 41.9 per 1000 in 2020 (Cochran-Armitage test for trend, p < 0.0001). In all calendar years, older ages were associated with greater prevalence of opioid receipt. Adjusted analyses (logistic regression) assessed calendar year differences in opioid receipt, controlling for age group, sex, and race/ethnicity. In the adjusted analyses, calendar year was inversely associated with opioid receipt (aOR 0.927, 95% CI 0.926-0.927). Males and older ages were more likely to receive opioids, while persons of Black race and Hispanic ethnicity had lower odds of receiving opioids. While opioid receipt declined among all age groups during 2000-2020, adolescents 12-18 had persistently higher annual prevalence of opioid receipt when compared to younger age groups.

A Qualitative Analysis of Access to Healthcare Among African American Adults in South Carolina.

Access to healthcare is a Social Determinant of Health that is associated with public health outcomes and barriers to access disproportionately affect African American adults. This study used a health and financial literacy approach to qualitatively assess how African American adults access healthcare and potential barriers faced (n = 20). Results indicated a wide range of experiences generally split between positive and negative experiences in access to healthcare. Specific themes that emerged included scheduling issues and appointment availability, expense of care, lack of transparency in insurance coverage, the need for more primary care clinics and enhanced community outreach and education on how to access healthcare. This research identifies a need for increased education surrounding health insurance coverage and an identified need for more local physicians or ease of scheduling. All participants in this study stated they were covered by health insurance of some form. Future research should examine these issues in the context of socioeconomic and insurance status.

Participation in the CARES Act Provider Relief Fund policy by dentists in South Carolina's safety net.

OBJECTIVES: The Coronavirus Aid, Relief, and Economic Security (CARES) Act appropriated $100 billion to the Provider Relief Fund, allowing for direct payments to health care providers due to COVID-19. Few studies have evaluated participation in the Provider Relief Fund (PRF), and none have specifically looked at dental providers in the safety net. METHODS: We conducted a retrospective, secondary data analysis using a quasi-experimental cohort design of South Carolina dentists who received PRF payments, comparing those who did and did not participate in the safety net. Safety net practice was operationalized as those participating in Medicaid, and whether they provided care in dental health professional shortage areas, or rural communities. RESULTS: Of the 628 dental providers in South Carolina who received PRF payments, 34% were identified as Medicaid providers while 66% did not participate in Medicaid; we found no statistical difference between payments to Medicaid versus non-Medicaid dental providers. Of PRF payments to dental providers participating in South Carolina's Medicaid program, we found no difference between payments to rural and urban providers but did find that practices offering services in dental care shortage areas received less than providers practicing in counties not designated as a shortage area. CONCLUSIONS: The PRF achieved its goal of distributing financial support to providers affected by the COVID-19 pandemic. But without policy imperatives linked to need-based allocations or incentives for PRF recipients to serve safety net populations, we may later learn this was a missed opportunity for PRF.

Implementation During a Pandemic: Findings, Successes, and Lessons Learned from Community Grantees.

Funding communities through mini-grant programs builds community capacity by fostering leadership among community members, developing expertise in implementing evidence-based practices, and increasing trust in partnerships. The South Carolina Cancer Prevention and Control Research Network (SC-CPCRN) implemented the Community Health Intervention Program (CHIP) mini-grants initiative to address cancer-related health disparities among high-risk populations in rural areas of the state. One community-based organization and one faith-based organization were funded during the most recent call for proposals. The organizations implemented National Cancer Institute evidence-based strategies and programs focused on health and cancer screenings and physical activity and promotion of walking trails. Despite the potential for the COVID-19 pandemic to serve as a major barrier to implementation, grantees successfully recruited and engaged community members in evidence-based activities. These initiatives added material benefits to their local communities, including promotion of walking outdoors where it is less likely to contract the virus when socially distanced and provision of COVID-19 testing and vaccines along with other health and cancer screenings. Future mini-grants programs will benefit from learning from current grantees' flexibility in program implementation during a pandemic as well as their intentional approach to modifying program aspects as needed.

An Examination of Culturally Relevant Health Messages in African-American Churches.

This quantitative study examined the presence of culturally relevant health messages for African-Americans based on a preexisting dataset from 21 African-American churches in South Carolina (USA). Content analysis served as the primary methodological approach to code printed media messages based on their cultural relevance among African-Americans (Cohen's kappa = .74). Within the dataset (n = 2166), 477 (22%) items were identified as culturally relevant. A low prevalence of culturally relevant messages was found across the three message topics, two media types, and one media source. Due to the limited presence of culturally relevant messages, researchers should collaborate with African-American churches to design health promotion messages.

Assessment of Chronic Disease Management Strategies Among Health Care Practices in Medically Underserved South Carolina Counties.

Diabetes and heart disease are among the leading causes of death and disability in the United States, and these conditions are especially prevalent in the South. South Carolina's persistent racial and socioeconomic disparities in chronic disease outcomes are well-documented, yet little is known about how health care practices in medically underserved areas are addressing these challenges. Data were collected through a cross-sectional survey as part of two complementary 5-year cooperative agreements between the Centers for Disease Control and Prevention and the Division of Diabetes and Heart Disease Management (the Division) at the South Carolina Department of Health and Environmental Control. The Division fielded a survey to (a) assist in determining which Rural Health Clinics (RHCs) and Federally Qualified Health Centers (FQHCs) were best poised to implement specific strategies as part of these cooperative agreements and (b) provide data to establish the baseline for performance measures. FQHCs and RHCs in the top 25% of counties with the highest diabetes and heart disease burden were surveyed about eight domains: staffing/services, electronic health records, team-based care policies, lifestyle change programs, medication therapy management, telehealth, quality improvement collaboratives, and patient demographics. Data representing 71 practices revealed contrasts between RHCs and FQHCs and opportunities for improvement. For example, while most practices reported they were not implementing evidence-based lifestyle change programs (e.g., the National Diabetes Prevention Program), most RHCs and FQHCs expressed interest in starting such programs. Findings are being used to guide efforts to improve diabetes and heart disease prevention and management in South Carolina.

Mental health needs assessment of individuals experiencing homelessness in Charleston, South Carolina.

Context: More than 4,268 people were experiencing homelessness in South Carolina during the 2020 point in time count, with Charleston county ranked the 4th highest in the state for number of individuals experiencing homelessness. Mental health disorders often contribute to or result from housing insecurity. Objective: The purpose of this quality improvement study was to determine mental health needs, and mental health services utilization patterns of people experiencing homelessness or housing insecurity (PEH) in Charleston, SC. Study Design: Cross sectional survey, utilizing a 13 question paper survey. Setting: Drop-in resource center for PEH. Population Studied: 33 PEH accessing the resource center. Outcome Measures: 1. Demographics 2. Mental health needs 3. Access to mental health resources and 4. Preferences for accessing mental health services. Results: Survey participants (n=33) ranged from 19 to 64 years old with 57.6% identifying as male and 51.5% identifying as Black. More than three quarters (81.3%) of those surveyed reported being diagnosed with at least one psychiatric disorder. Over half (56.3%) had been hospitalized for a psychiatric reason. Over two thirds (70.0%) were accessing some form of mental health service and 51.9% endorsed some difficulty accessing prescribed psychiatric medications. Cost and transportation were selected most often as barriers to access. Most participants (92.9%) were interested in receiving some form of mental health service and 62.5% said access to services would make it easier to get stable housing. Most (85.2%) were willing to access mental health services virtually, however, 50.0% of participants did not report access to an electronic device and most (74.1%) denoted preference for in person services. Conclusions: PEH have significant mental health needs and experience barriers to accessing mental health services. Resources directed at addressing these barriers are essential to improve the mental health of this vulnerable population and ameliorate housing instability.

Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches.

Coastal hazard vulnerability assessment has been centered around the multi-variate analysis of geo-physical and hydroclimate data. The representation of coupled socio-environmental factors has often been ignored in vulnerability assessment. This study develops an integrated socio-environmental Coastal Vulnerability Index (CVI), which simultaneously combines information from five vulnerability groups: biophysical, hydroclimate, socio-economic, ecological, and shoreline. Using the Multi-Criteria Decision Making (MCDM) approach, two CVI (CVI-50 and CVI-90) have been developed based on average and extreme conditions of the factors. Each CVI is then compared to a data-driven CVI, which is formed based on Probabilistic Principal Component Analysis (PPCA). Both MCDM and PPCA have been tied into geospatial analysis to assess the natural hazard vulnerability of six coastal counties in South Carolina. Despite traditional MCDM-based vulnerability assessments, where the final index is estimated based on subjective weighting methods or equal weights, this study employs an entropy weighting technique to reduce the individuals' biases in weight assignment. Considering the multivariate nature of the coastal vulnerability, the validation results show both CVI-90 and PPCA preserve the vulnerability results from biophysical and socio-economic factors reasonably, while the CVI-50 methods underestimate the biophysical vulnerability of coastal hazards. Sensitivity analysis of CVIs shows that Charleston County is more sensitive to socio-economic factors, whereas in Horry County the physical factors contribute to a higher degree of vulnerability. Findings from this study suggest that the PPCA technique facilitates the high-dimensional vulnerability assessment, while the MCDM approach accounts more for decision-makers' opinions.