Cost of Care for Newborns With Neonatal Abstinence Syndrome in a State Medicaid Program.

Importance: Neonatal abstinence syndrome (NAS) is a medical condition among neonates experiencing substance withdrawal due to the mother's substance use during pregnancy. While previous studies suggest that the overall incidence and annual costs of NAS are increasing, to date, the long-term costs have yet to be demonstrated in Medicaid populations. Objective: To examine the demographic differences and long-term costs of care for neonates diagnosed with vs not diagnosed with NAS. Design, Setting, and Participants: This cohort study used claims data from the Alabama Medicaid Agency for neonates born to Medicaid-eligible mothers between January 1, 2010, and December 31, 2020. Data were analyzed in June 2022. Exposure: A diagnosis of NAS within 30 days of birth. Main Outcomes and Measures: Rate of NAS by demographic and birth characteristics, long-term costs attributable to NAS status and demographic and birth characteristics, and distribution of this expenditure over the enrollment period. Results: A total of 346 259 neonates with Medicaid eligibility were born during the study period (mean [SD] gestational age, 38.4 [2.2] weeks; 50.5%, male), 4027 (1.2%) of whom had an NAS diagnosis within 30 days of birth. A larger percentage of neonates with an NAS diagnosis were male (52.7%) than in the group without NAS (50.5%). Neonates with NAS also weighed less at birth (mean difference, -212.0 g; 95% CI, -231.1 to -192.8 g) and had older mothers (mean difference, 3.4 years; 95% CI, 2.6-4.2 years). An NAS diagnosis had an estimated additional cost of $17 921 (95% CI, $14 830-$21 012) over the enrollment period, and this cost was not evenly distributed over that period. Conclusions and Relevance: In this cohort study of neonates born into the Alabama Medicaid population, those with an NAS diagnosis had a different demographic profile and a higher cost to state Medicaid agencies than those without NAS. These findings warrant further effort to reduce the occurrence of NAS.

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints.

The COVID-19 pandemic continues to have an unprecedented impact on people's lives and the economy worldwide. Vaccines are the strongest evidence-based defense against the spread of the disease. The release of COVID-19 vaccines to the general public created policy challenges associated with how to best allocate vaccines among different sub-regions. In the United States, after vaccines became widely available for all eligible adults, policymakers faced objectives such as (i) achieving an equitable allocation to reduce populations' travel times to get vaccinated and (ii) effectively allocating vaccine doses to minimize waste and unmet need. This problem was further exacerbated by the underlying factors of population vaccine hesitancy and sub-regions' varying capacity levels to administer vaccines to eligible and willing populations. Although simple to implement, commonly used pro rata policies do not capture the complexities of this problem. We propose two alternatives to simple pro rata policies. The first alternative is based on a Mixed-Integer Linear Programming Model that minimizes the maximum travel duration of patients and aims to achieve an equitable and effective allocation of vaccines to sub-regions while considering capacity and vaccine hesitancy. A second alternative is a heuristic approach that may be more palatable for policymakers who (i) are not familiar with mathematical modeling, (ii) are reluctant to use black-box models, and (iii) prefer algorithms that are easy to understand and implement. We demonstrate the results of our model through a case study based on real data from the state of Alabama and show that substantial improvements in travel time-based equity are achievable through capacity improvements in a small subset of counties. We perform additional computational experiments that compare the proposed methods in terms of several metrics and demonstrate the promising performance of our model and proposed heuristic. We find that while our mathematical model can achieve equitable and effective vaccine allocation, the proposed heuristic performs better if the goal is to minimize average travel duration. Finally, we explore two model extensions that aim to (i) lower vaccine hesitancy by allocating vaccines, and (ii) prioritize vaccine access for certain high-risk sub-populations.

Lessons learned from developing a statewide research data repository to combat the opioid epidemic in Alabama.

Many states are continuing to struggle with opioids and other commonly abused drugs. Alabama, being the highest opioid prescription per-capita state since 2012, has pulled together state agencies, private companies, academia, and community organizations to form a data council and repository to provide unified insights and information to the public and partner stakeholders. The lessons learned in constructing this data environment are documented so that other states and organizations can benefit from the challenges and success that Alabama has experienced. The centralized data repository consists of almost a dozen data streams from public agencies and private companies. The data are transformed and linked within the repository to provide geo-temporal linkages between data sources. The data are stored in a secure multi-tiered environment in a Microsoft SQL Server database, de-identified, aggregated, and then published to a public web portal for open consumption. The public-facing website from the project successfully integrates multiple disparate data sources into a common platform for streamlined and cohesive data communications. Drug addiction cannot be easily quantified, viewed, or otherwise examined when only looking at a portion of society. By bringing together multiple data sources and linking them, a more clear picture of trends, influences, and metrics can be obtained. A statewide drug use data partnership between public and private entities is both possible as well as beneficial to all parties involved. Items like legal contracts can inhibit data sharing, but certain best practices can help scale and streamline multiple agreements.

Pandemic-Triggered Adoption of Telehealth in Underserved Communities: Descriptive Study of Pre- and Postshutdown Trends.

BACKGROUND: The adoption of telehealth services has been a challenge in rural communities. The reasons for the slow adoption of such technology-driven services have been attributed to social norms, health care policies, and a lack of infrastructure to support the delivery of services. However, the COVID-19 pandemic-related shutdown of in-person health care services resulted in the usage of telehealth services as a necessity rather than a choice. The pandemic also fast-tracked some needed legislation to allow medical cost reimbursement for remote examination and health care services. As services return to normalcy, it is important to examine whether the usage of telehealth services during the period of a shutdown has changed any of the trends in the acceptance of telehealth as a reliable alternative to traditional in-person health care services. OBJECTIVE: Our aim was to explore whether the temporary shift to telehealth services has changed the attitudes toward the usage of technology-enabled health services in rural communities. METHODS: We examined the Medicaid reimbursement data for the state of Alabama from March 2019 through June 2021. Selecting the telehealth service codes, we explored the adoption rates in 3 phases of the COVID-19 shutdown: prepandemic, pandemic before the rollout of mass vaccination, and pandemic after the rollout of mass vaccination. RESULTS: The trend in telemedicine claims had an opposite pattern to that in nontelemedicine claims across the 3 periods. The distribution of various characteristics of patients who used telemedicine (age group, gender, race, level of rurality, and service provider type) was different across the 3 periods. Claims related to behavior and mental health had the highest rates of telemedicine usage after the onset of the pandemic. The rate of telemedicine usage remained at a high level after the rollout of mass vaccination. CONCLUSIONS: The current trends indicate that adoption of telehealth services is likely to increase postpandemic and that the consumers (patients), service providers, health care establishments, insurance companies, and state and local policies have changed their attitudes toward telehealth. An increase in the use of telehealth could help local and federal governments address the shortage of health care facilities and service providers in underserved communities, and patients can get the much-needed care in a timely and effective manner.

Geographic disparities in access to Medication for Opioid Use Disorder across US census tracts based on treatment utilization behavior.

Drug overdose is the leading cause of accidental death in the U.S. with deaths from opioid overdose occurring at a higher rate in rural areas. The gaps in the provision of healthcare services have been exacerbated by the opioid crisis leaving vulnerable populations without access to preventative care and education, harm reduction, both chronic and acute treatment of the symptoms of opioid use disorder (OUD), and long-term psychological support for those with OUD and their families. There has been a call in the literature -and a federal mandate-for increased access to opioid treatment facilities, but to date this access has not been operationalized using best practices in geography. Medication for Opioid Use Disorder (MOUD) with FDA-approved methadone or buprenorphine has been shown to increase treatment retention, reduce opioid use and associated health and societal harms, and reduce opioid related overdose, and as such is considered the most effective treatment for OUD. The objective of this study is to examine U.S. adults' spatial access to MOUD - specifically locations of certified Opioid Treatment Programs (OTPs) and DATA-waived Buprenorphine providers. A gravity-based variant of the enhanced two-step floating catchment area model is employed, where friction of distance is based on previously published willingness to travel distances for patients visiting OTPs, to assess how opioid agonist treatment accessibility varies across the nation. Findings suggest that there are extensive 'treatment deserts' where there is little to no physical access to MOUD, especially in rural areas. The significance of this work lies in the incorporation of treatment utilization behavior in the access metric, and the continued confirmation of gaps in access to OUD services despite federal efforts to improve accessibility.

Shifting of opioid prescription rate reporting impacts both rural and urban counties.

BACKGROUND: CDC annual reporting of opioid prescriptions per capita are key data used by systems for tracking opioid utilization and deaths. These data go back to 2006 and are measured at county-level resolution. Researchers and policy makers regularly use these data as inputs to models for tracking opioid trends geographically. METHODS: Recent changes in reporting of these data from the dispenser to provider cause a longitudinal break in the ability for data users to evaluate data points pre and post-change. This report examines the geographical impact of the data change in the context of both rural and urban counties. Data were segmented by county and tied to corresponding USDA rural-urban continuum codes for comparison. RESULTS: Opioid prescription data provides a distinct view into the opioid epidemic that allows all states and counties to view the trends of opioid utilization within their areas compared to themselves longitudinally as well as others. The reporting format change causes a break in the ability for communities to connect data before and after the change, especially in rural counties. CONCLUSION: Researchers and policy makers need to be aware of the changes in opioid reporting metrics to avoid drawing false conclusions. In most cases, data before 2019 cannot be compared to later data points. The policy change in reporting significantly alters the ability to longitudinally analyze and connect information when examining county-level data. State-level trends are not impacted by this reporting change.

Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study.

BACKGROUND: Evidence suggests that eHealth tools adoption is associated with better health outcomes among various populations. The patterns and factors influencing eHealth adoption among the US Medicaid population remain obscure. OBJECTIVE: The objective of this study is to explore patterns of eHealth tools adoption among the Medicaid population and examine factors associated with eHealth adoption. METHODS: Data from the Health Information National Trends Survey from 2017 to 2019 were used to estimate the patterns of eHealth tools adoption among Medicaid and non-Medicaid populations. The effects of Medicaid insurance status and other influencing factors were assessed with logistic regression models. RESULTS: Compared with the non-Medicaid population, the Medicaid beneficiaries had significantly lower eHealth tools adoption rates for health information management (11.2% to 17.5% less) and mobile health for self-regulation (0.8% to 9.7% less). Conversely, the Medicaid population had significantly higher adoption rates for using social media for health information than their counterpart (8% higher in 2018, P=.01; 10.1% higher in 2019, P=.01). Internet access diversity, education, and cardiovascular diseases were positively associated with health information management and mobile health for self-regulation among the Medicaid population. Internet access diversity is the only factor significantly associated with social media adoption for acquisition of health information (OR 1.98, 95% CI 1.26-3.11). CONCLUSIONS: Our results suggest digital disparities in eHealth tools adoption between the Medicaid and non-Medicaid populations. Future research should investigate behavioral correlates and develop interventions to improve eHealth adoption and use among underserved communities.

Effect of Patient-Physician Relationship on Withholding Information Behavior: Analysis of Health Information National Trends Survey (2011-2018) Data.

BACKGROUND: Patients' withholding information from doctors can undermine medical treatment, create barriers for appropriate diagnoses, and increase systemic cost in health care systems. To date, there is limited literature detailing the association between trends of patients withholding information behavior (WIB) and the patient-physician relationship (PPR). OBJECTIVE: The aim of this study was to explore the prevalence trend of WIB after 2011 and examine the effects of PPR on WIB and its time trend. METHODS: A total of 5 iterations of data from the Health Information National Trends Survey (years: 2011-2018; n=11,954) were used to explore curvilinear trends of WIB among the US population. Multiple logistic regression models were used to examine curvilinear time trends of WIB, effects of PPR on WIB, and moderation effects of PPR on the WIB time trend. RESULTS: The WIB prevalence has an increasing trend before 2014, which has the highest rate of 13.57%, and then it decreases after 2014 to 8.65%. The trend of WIB is curvilinear as the quadratic term in logistic regression model was statistically significant (P=.04; beta=-.022; SE=0.011; odds ratio [OR] 0.978, 95% CI 0.957-0.999). PPR is reversely associated with WIB (P<.001; beta=-.462; SE=0.097; OR 0.630, 95% CI 0.518-0.766) and has a significant moderation effect on time trends (P=.02; beta=-.06; SE=0.025; OR 0.941, 95% CI 0.896-0.989). In general, poor quality of PPR not only significantly increased the WIB probability but also postponed the change of point for WIB curvilinear trend. CONCLUSIONS: Findings suggest that the time trend of WIB between 2011 and 2018 is curvilinear and moderated by the quality of the PPR. Given these results, providers may reduce WIB by improving PPR. More research is needed to confirm these findings.

Physician Trust and Home Remedy Use Among Low-Income Blacks and Whites with Hypertension: Findings from the TRUST Study.

INTRODUCTION: Home remedies are used for the treatment of hypertension despite unsubstantiated claims of their effectiveness. Home remedy use is often attributed to mistrust towards healthcare providers. Few studies examine the relationship between home remedy use and physician trust. The objective of this study was to examine and compare the association between home remedy use and trust in physicians in a cohort of low-income Blacks and Whites with hypertension living in an inner city in Alabama. METHODS: A cross-sectional examination was conducted among 925 Black and White patients receiving care at an urban hospital. Data was collected from in-person surveys. Trust in physicians was self-reported using the Hall General Trust Scale which included questions about honesty, confidentiality, and trust. Home remedy use was self-reported using the Brown and Segal scale which included questions about home remedy use and types of home remedies used. Covariates included demographic factors such as age, race, gender, and health outcomes. Data were analyzed using linear regression. RESULTS: Twenty-eight percent of Black and 15% of White participants reported home remedy use (p = 0.001). Black home remedy users (38.9) and non-users (39.3) had similar trust scores (p = 0.582). Whites home remedy users (32.9) reported lower trust in physicians than White non-users (37.7) (p = 0.026). CONCLUSIONS: Black home remedy users, non-users, and White non-users reported similar trust scores; the lowest trust scores were found among White home remedy users. Home remedy use was higher among Black participants. Future studies should examine the context of mistrust and home remedy use among Whites.

Community-Based Participatory Research-Speed Dating: An Innovative Model for Fostering Collaborations Between Community Leaders and Academic Researchers.

Developing meaningful community-based participatory relationships between researchers and the community can be challenging. The overall success of a community-based participatory relationship should be predicated on commitment and respect from empowered stakeholders. Prior to developing the technique discussed in this article, we hypothesized that the process of fostering relationships between researchers and the community was much like a social relationship: It has to develop organically and cannot be forced. To address this challenge, we developed a community-based participatory research-speed dating technique to foster relationships based on common interests, which we call CBPR-SD. This article describes the logistics of implementing CBPR-SD to foster scholarly collaborations. As part of a federally funded community-based research project, the speed dating technique was implemented for 10 researchers and 11 community leaders with a goal of developing scholarly collaborative groups who will submit applications for community-based research grants. In the end, four collaborative groups developed through CBPR-SD, three (75%) successfully submitted grant applications to fund pilot studies addressing obesity-related disparities in rural communities. Our preliminary findings suggest that CBPR-SD is a successful tool for promoting productive scholarly relationships between researchers and community leaders.

Socioeconomic Status, Risk of Obesity, and the Importance of Albert J. Stunkard.

Albert J. Stunkard's influential career in obesity research spanned over 50 years and included several landmark studies on social factors related to obesity. This review discusses the important contributions Stunkard made to research on the relationship between socioeconomic status socioeconomic status and obesity, extensions of his work, and reflects on Stunkard's role in the mentoring of succeeding generations of scientists.

Reverse Migration, the Black Church and Sexual Health: Implications for Building HIV/AIDS Prevention Capacity in the Deep South.

The Black Church has long been purported as being strongly influential in the lives of Blacks in America. Recent U.S. census data trends highlight a "reverse migration" pattern where Blacks are moving back to the South from larger metropolitan areas in other U.S. geographical regions. This migration pattern parallels the increasing HIV/AIDS prevalence among Blacks in the Deep South. This paper reviews both the historical and current migration patterns among Blacks, as well as the current HIV/AIDS epidemic among Blacks in the Deep South. Thereafter, the authors discuss an existing framework for increasing HIV/AIDS prevention capacity through a conceptual connection of migration, religion and sexual health. The authors use case studies to support the proposed framework. It is hoped that the framework could be used to address HIV/AIDS health disparities and other chronic diseases affecting Blacks in America.

Bringing Community and Academic Scholars Together to Facilitate and Conduct Authentic Community Based Participatory Research: Project UNITED.

Cultural competency, trust, and research literacy can affect the planning and implementation of sustainable community-based participatory research (CBPR). The purpose of this manuscript is to highlight: (1) the development of a CBPR pilot grant request for application; and (2) a comprehensive program supporting CBPR obesity-related grant proposals facilitated by activities designed to promote scholarly collaborations between academic researchers and the community. After a competitive application process, academic researchers and non-academic community leaders were selected to participate in activities where the final culminating project was the submission of a collaborative obesity-related CBPR grant application. Teams were comprised of a mix of academic researchers and non-academic community leaders, and each team submitted an application addressing obesity-disparities among rural predominantly African American communities in the US Deep South. Among four collaborative teams, three (75%) successfully submitted a grant application to fund an intervention addressing rural and minority obesity disparities. Among the three submitted grant applications, one was successfully funded by an internal CBPR grant, and another was funded by an institutional seed funding grant. Preliminary findings suggest that the collaborative activities were successful in developing productive scholarly relationships between researchers and community leaders. Future research will seek to understand the full-context of our findings.

Results of an Academic, Health Care Worksite Weight Loss Contest for Southeastern Americans: Scale Back Alabama 2011-2013.

Few studies have assessed the effectiveness of competitive incentivized worksite weight loss programs. Scale Back Alabama (SBA) is a free, state-supported program designed to promote weight loss among overweight and obese citizens. The purpose of this manuscript is to describe the design and preliminary findings of SBA as a worksite intervention among employees at a collegiate institution and university hospital. In teams of 4 employees, SBA participants volunteered to engage in a 10-week competitive weight loss contest; both teams and individuals who lost significant weight were eligible for randomly drawn cash incentives. Trained staff objectively measured participants' weight before and at the conclusion of the contest. Preliminary analyses suggest that SBA as a worksite program can promote weight loss among employees, but future analyses are warranted to understand the context of these findings and determine if current results are confounded by unmeasured factors.

Physical characteristics associated with weight misperception among overweight and obese men: NHANES 1999-2006.

OBJECTIVES: The purpose of this study was to (1) determine the prevalence of weight misperception among overweight and obese men with total body fat levels ≥ 25%, and (2) examine associations of weight misperception with anthropometric and body composition measures. METHODS: Data came from 4,200 overweight or obese men from the 1999 to 2006 National Health and Nutrition Examination Survey. Weight misperception was operationalized as having a dual-energy X-ray absorptiometry-derived total body fat percentage ≥25% and classifying oneself as either "underweight" or "about right weight." Logistic regression was used to determine physical characteristics associated with weight misperception. RESULTS: Weight misperception was highest among Mexican American (35.9%) followed by Black (30.8%) and White men (22.9%). Physical characteristics (OR, 95% CI) associated with weight misperception were decreased arm fat (0.95, 0.91-0.98), being overweight (9.02, 5.34-15.24), and having a waist circumference ≤ 94 cm (2.31, 1.72-3.09). CONCLUSIONS: Findings suggest that future research should include a measure of adiposity in the operationalization of weight misperception among male populations.

Recommendations for a culturally relevant Internet-based tool to promote physical activity among overweight young African American women, Alabama, 2010-2011.

INTRODUCTION: Innovative approaches are needed to promote physical activity among young adult overweight and obese African American women. We sought to describe key elements that African American women desire in a culturally relevant Internet-based tool to promote physical activity among overweight and obese young adult African American women. METHODS: A mixed-method approach combining nominal group technique and traditional focus groups was used to elicit recommendations for the development of an Internet-based physical activity promotion tool. Participants, ages 19 to 30 years, were enrolled in a major university. Nominal group technique sessions were conducted to identify themes viewed as key features for inclusion in a culturally relevant Internet-based tool. Confirmatory focus groups were conducted to verify and elicit more in-depth information on the themes. RESULTS: Twenty-nine women participated in nominal group (n = 13) and traditional focus group sessions (n = 16). Features that emerged to be included in a culturally relevant Internet-based physical activity promotion tool were personalized website pages, diverse body images on websites and in videos, motivational stories about physical activity and women similar to themselves in size and body shape, tips on hair care maintenance during physical activity, and online social support through social media (eg, Facebook, Twitter). CONCLUSION: Incorporating existing social media tools and motivational stories from young adult African American women in Internet-based tools may increase the feasibility, acceptability, and success of Internet-based physical activity programs in this high-risk, understudied population.