Providing doula support to publicly insured women in central Texas: A financial cost-benefit analysis.

BACKGROUND: Disparities in birth outcomes continue to exist in the United States, particularly for low-income, publicly insured women. Doula support has been shown to be a cost-effective intervention in predominantly middle-to-upper income White populations, and across all publicly insured women at the state level. This analysis extends previous studies by providing an estimate of benefits that incorporates variations in averted outcomes by race and ethnicity in the context of one region in Texas. The objectives of this study were to determine (1) whether the financial value of benefits provided by doula support exceeds the costs of delivering it; (2) whether the cost-benefit ratio differs by race and ethnicity; and (3) how different doula reimbursement levels affect the cost-benefit results with respect to pregnant people covered by Medicaid in central Texas. METHODS: We conducted a forward-looking cost-benefit analysis using secondary data carried out over a short-term time horizon taking a public payer perspective. We focused on a narrow set of health outcomes (preterm delivery and cesarean delivery) that was relatively straightforward to monetize. The current, usual care state was used as the comparison condition. RESULTS: Providing pregnant people covered by Texas Medicaid with access to doulas during their pregnancies was cost-beneficial (benefit-to-cost ratio: 1.15) in the base model, and 65.7% of the time in probabilistic sensitivity analyses covering a feasible range of parameters. The intervention is most cost-beneficial for Black women. Reimbursing doulas at $869 per client or more yielded costs that were greater than benefits, holding other parameters constant. CONCLUSIONS: Expanding Medicaid pregnancy-related coverage to include doula services would be cost-beneficial and improve health equity in Texas.

Health Care Use, Coverage, and Experiences During the Year Prior to Pregnancy in a Primarily Hispanic Population with Low Income: A Descriptive Qualitative Study.

INTRODUCTION: A qualitative picture of the health care experiences prior to pregnancy can inform patient-centered strategies to optimize preconception health. This study describes health care utilization and experiences and how health care costs were covered in the year prior to pregnancy in a population of primarily Hispanic women with low income. METHODS: Pregnant participants were recruited from 5 Federally Qualified Health Center clinics. Semistructured interviews included questions about health care in the year prior to pregnancy. Transcripts were analyzed using a thematic approach that integrated deductive and inductive analysis. RESULTS: Most participants self-identified as Hispanic. Just under half were US citizens. All but one were Medicaid or Children's Health Insurance Program Perinatal coverage insurance during pregnancy and relied on a variety of strategies to cover prepregnancy health care costs. Almost all received health care during the year prior to pregnancy. Fewer than half reported an annual preventive visit. Health care needs that led to care-seeking included a prior pregnancy, chronic depression, contraception, workplace injury, a persistent rash, screening and treatment for sexually transmitted infection, breast pain, stomach pain (leading to gallbladder removal), and kidney infection. The ways in which study participants covered the costs of health care ranged in terms of sources and complexity. Although some participants described stable health care coverage, most reported changes throughout the year as they pieced together various health care coverage programs and out-of-pocket payments. When participants did seek health care prior to their current pregnancy, most described the experience in positive terms and focused on health care provider communication quality. Respect of patient autonomy was highly valued. DISCUSSION: Women with pregnancy-related health care coverage accessed care for a wide range of health care needs prior to pregnancy. Health care providers may consider strategies to respectfully introduce preconception care into any visit by an individual who could become pregnant.

Qualitative Research to Describe Food Bank-Health Care Partnerships: What Types of Models are Currently Being Used to Facilitate Food Bank-Health Care Partnerships in Texas?

BACKGROUND: Food banks and health care are being increasingly called on to partner together to support individuals and families experiencing food insecurity, yet few published works highlight descriptions of current food bank-health care partnerships. OBJECTIVE: The aim of this study was to identify and describe food bank-health care partnerships, the impetus for development of partnerships, and challenges to sustainable partnerships within a single-state area. DESIGN: Qualitative data collection using semi-structured interviews was performed. PARTICIPANTS: Twenty-seven interviews were completed with representatives of all 21 food banks in Texas. All interviews were between 45 and 75 minutes and completed virtually using Zoom. MAIN OUTCOME MEASURE: Types of models used for implementation, impetus for partnership development, and challenges to partnership sustainability were identified through interview questions. STATISTICAL ANALYSIS PREFORMED: Content analysis was performed in NVivo (Lumivero. Denver, CO), using transcriptions from voice-recorded semi-structured interviews. RESULTS: Four types of models of current food bank-health care partnerships were identified; they included food insecurity screening and referral, emergency food distribution at or near health care partner, pop-up food distribution and health screenings in community settings, and specialty programs for patients referred by health care. The impetus for partnership formation most often came from pressures from Feeding America or the belief that partnerships provided an opportunity to reach individuals and families that were currently not being served by the food bank. Challenges to sustainable partnership included lack of investment in both physical capacity and staff, administrative burden, and poorly developed referral processes for partnership programs. CONCLUSION: Food bank-health care partnerships are forming in diverse communities and settings, yet they need significant capacity building to support sustainable implementation and future growth.

Implementing food bank and healthcare partnerships: a pilot study of perspectives from charitable food systems in Texas.

BACKGROUND: Partnerships between charitable food systems and healthcare systems have been forming across the country to support individuals and families experiencing food insecurity, yet little research has focused on these partnerships, particularly from a food bank perspective. The objective of this exploratory pilot study was to identify implementation challenges and facilitators of charitable food system and healthcare partnerships from the food bank perspective. METHOD: Texas food banks with existing food bank/healthcare partnerships were identify through website review and support from Feeding Texas. Interview questions were tailored to each interview, but all focused on identify program components of the food bank/healthcare partnership and implementation barriers/facilitators of the partnership. In total, six interviews were conducted with food bank/healthcare partnership leaders (n = 4) and charitable food system experts (n = 2) about their experiences of working with food bank/healthcare partnerships. All interviews were completed via Zoom and took between 30 and 60 min to completed. Detailed notes were taking during each interview, and immediately discussed with the complete research time to formulate broad implementation themes. RESULTS: Interviews suggest unique implementation challenges exist at all levels of food bank/healthcare partnerships including the partnership, program, and system levels. Partnership-level implementation challenges focused on issues of partnership scale and data collection, sharing, and analysis. Program-level implementation challenges focused on food and produce expectations. Structural-level implementation challenges included issues of food safety, subsidized food regulations, and patient privacy. Implementation facilitators included leadership support, mission compatibility/organizational readiness, food insecurity training, and identify of partnership champions. CONCLUSIONS: This study adds to the growing interest in food bank/healthcare partnership as it highlights unique implementation challenges and facilitators for cross-sector partnerships between healthcare systems and community-based charitable food systems. Ultimately, we believe that collaborative discussion among leaders of charitable food systems and healthcare systems is needed to overcome outlined implementation challenges to better facilitate sustainable, equitable implementation of food bank/healthcare partnerships.

Promoting Influenza Vaccination Among an ACA Health Plan Subscriber Population: A Randomized Trial.

PURPOSE: To assess the effectiveness of an intervention to promote influenza vaccination among members of an Affordable Care Act (ACA) insurance plan. DESIGN: Randomized controlled trial. SETTING: Messages were delivered by a community-based, nonprofit health insurance provider to its members in Central Texas. PARTICIPANTS: Adult subscribers for whom either a phone number or an e-mail address was available (n = 25 649). INTERVENTION: Participants were randomly assigned to be sent (1) no messages, (2) messages encouraging influenza vaccination via e-mails and texts, and (3) messages encouraging influenza vaccination through e-mails, texts, and postal mail. Messages were sent between September 12, 2017 and November 17, 2017. MEASURES: Influenza vaccination was determined using medical and pharmacy claims. ANALYSIS: Rate differences and 95% confidence intervals between each exposure condition were calculated for the overall population and by subgroups. RESULTS: The vaccination rate by December 31, 2017 was 16.9%. Those sent both electronic messages and postal mail were significantly more likely to be vaccinated than those who were not sent messages (rate difference: 2.5%; 95% confidence interval [CI]: 1.4-3.6) and those who were sent electronic messages only (rate difference: 1.6%; 95% CI: 0.5-2.8). CONCLUSION: A combination of messages delivered via text, e-mail, and postal mail generated a modest but significant positive effect on influenza vaccine rates in an ACA plan population. The postal mail component was essential for achieving this effect.

The Effect of New Shower Facilities on Physical Activity Behaviors of Employees: A Quasi-experiment.

BACKGROUND: This quasi-experimental study assessed the effects of new workplace showers on physical activity behaviors in a sample of downtown employees in Austin, TX. METHODS: The study design was quasi-experimental with 2 comparison groups. Data were collected via internet-based surveys before and 4 months after shower installation at 1 worksite. Differences across study groups in the ranks of change in past-week minutes of physical activity from baseline to follow-up were assessed. Adjusted odds ratios and 95% confidence intervals for reporting an increase of ≥10 min past-week physical activity and workday physical activity among those with new showers and existing showers relative to those with no showers were also assessed. RESULTS: No significant differences in changes in physical activity from baseline to follow-up across study groups were found. One-quarter of participants with new workplace showers and 46.9% of those with existing workplace showers at baseline reported ever using the showers. CONCLUSIONS: This prospective study did not find significant changes in employee physical activity 4 months after installation of worksite showers. Worksite shower users were highly active at baseline, suggesting a possible early adopter effect, with potential for diffusion. Future studies may benefit from longer exposure times and larger samples.

Environmental Correlates of Recreational Walking in the Neighborhood.

PURPOSE: To assess environmental correlates of neighborhood recreational walking. DESIGN: The study used a cross-sectional survey. SETTING: The study was conducted in the local community. SUBJECTS: Participants were adults who recently relocated and walk for recreation in their current neighborhood. MEASURES: The outcome measure was participant-reported neighborhood recreational walking in participants' prior neighborhood. Exposure measures were (1) participant-reported social and environmental characteristics of the prior neighborhood and (2) geographic information system-derived environmental characteristics assessed within a buffer around participant's prior address. ANALYSIS: Participants reporting current neighborhood recreational walking (n = 231) were characterized by whether they walked for recreation in their prior neighborhood. Associations between neighborhood characteristics and neighborhood recreational walking were assessed using logistic regression. RESULTS: Neighborhood recreational walking was associated with perceptions of the presence of recreational facilities (odds ratio [OR] = 2.49, 95% confidence interval [CI] = 1.29-4.84), interesting things to see (OR = 2.82, 95% CI = 1.46-5.45), and others being active (OR = 3.56, 95% CI = 1.80-7.05), and was inversely associated with concerns about crime (OR = .40, 95% CI = .20-.77) and traffic (OR = .43, 95% CI = .22-.87). This behavior was associated with objectively measured presence of walking trails (OR = 3.58, 95% CI = 1.07-4.46), percentage of street length with speed limits ≤25 mph (OR = 1.31 for 10% increase, 95% CI = 1.08-1.61), and percentage of tree canopy coverage (OR = 1.55 for 10% increase, 95% CI = 1.12-2.14). CONCLUSION: Recreational walking may be influenced by environmental factors that support a safe, enjoyable, and social experience, attributes that are not necessarily prioritized in transportation walking. Outcome and exposure specificity are important when studying recreational walking.

Sociodemographic Factors, Population Density, and Bicycling for Transportation in the United States.

BACKGROUND: Transportation bicycling is a behavior with demonstrated health benefits. Population-representative studies of transportation bicycling in United States are lacking. This study examined associations between sociodemographic factors, population density, and transportation bicycling and described transportation bicyclists by trip purposes, using a US-representative sample. METHODS: This cross-sectional study used 2009 National Household Travel Survey datasets. Associations among study variables were assessed using weighted multivariable logistic regression. RESULTS: On a typical day in 2009, 1% of Americans older than 5 years of age reported a transportation bicycling trip. Transportation cycling was inversely associated with age and directly with being male, with being white, and with population density (≥ 10,000 vs < 500 people/square mile: odd ratio, 2.78, 95% confidence interval, 1.54-5.05). Those whose highest level of education was a high school diploma or some college were least likely to bicycle for transportation. Twenty-one percent of transportation bicyclists reported trips to work, whereas 67% reported trips to social or other activities. CONCLUSIONS: Transportation bicycling in the United States is associated with sociodemographic characteristics and population density. Bicycles are used for a variety of trip purposes, which has implications for transportation bicycling research based on commuter data and for developing interventions to promote this behavior.

Measuring the bias, precision, accuracy, and validity of self-reported height and weight in assessing overweight and obesity status among adolescents using a surveillance system.

BACKGROUND: Evidence regarding bias, precision, and accuracy in adolescent self-reported height and weight across demographic subpopulations is lacking. The bias, precision, and accuracy of adolescent self-reported height and weight across subpopulations were examined using a large, diverse and representative sample of adolescents. A second objective was to develop correction equations for self-reported height and weight to provide more accurate estimates of body mass index (BMI) and weight status. METHODS: A total of 24,221 students from 8th and 11th grade in Texas participated in the School Physical Activity and Nutrition (SPAN) surveillance system in years 2000-2002 and 2004-2005. To assess bias, the differences between the self-reported and objective measures, for height and weight were estimated. To assess precision and accuracy, the Lin's concordance correlation coefficient was used. BMI was estimated for self-reported and objective measures. The prevalence of students' weight status was estimated using self-reported and objective measures; absolute (bias) and relative error (relative bias) were assessed subsequently. Correction equations for sex and race/ethnicity subpopulations were developed to estimate objective measures of height, weight and BMI from self-reported measures using weighted linear regression. Sensitivity, specificity and positive predictive values of weight status classification using self-reported measures and correction equations are assessed by sex and grade. RESULTS: Students in 8th- and 11th-grade overestimated their height from 0.68cm (White girls) to 2.02 cm (African-American boys), and underestimated their weight from 0.4 kg (Hispanic girls) to 0.98 kg (African-American girls). The differences in self-reported versus objectively-measured height and weight resulted in underestimation of BMI ranging from -0.23 kg/m2 (White boys) to -0.7 kg/m2 (African-American girls). The sensitivity of self-reported measures to classify weight status as obese was 70.8% and 81.9% for 8th- and 11th-graders, respectively. These estimates increased when using the correction equations to 77.4% and 84.4% for 8th- and 11th-graders, respectively. CONCLUSIONS: When direct measurement is not practical, self-reported measurements provide a reliable proxy measure across grade, sex and race/ethnicity subpopulations of adolescents. Correction equations increase the sensitivity of self-report measures to identify prevalence of overall overweight/obesity status.