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Medicaid expansion had great potential to affect community health centers (CHCs), particularly in rural areas, because their patients are predominantly low income and disproportionately uninsured. Using data for 2011-15 on all CHCs, we found that after two years Medicaid expansion was associated with an 11.44-percentage-point decline in the share of CHC patients who were uninsured and a 13.15-percentage-point increase in the share with Medicaid. Changes in quality and volume were consistently observed in rural CHCs in expansion states, which had relative improvements in asthma treatment, body mass index screening and follow-up, and hypertension control, along with substantial increases in volumes for eighteen of twenty-one types of visits-particularly those for mammograms, abnormal breast findings, alcohol-related disorder, and other substance abuse disorder. Similar relative gains were not observed in urban CHCs in expansion states. Repealing or phasing out Medicaid expansion could reverse observed gains in quality and service use and could be particularly detrimental to low-income rural populations.

The Centers for Disease Control and Prevention (CDC)-funded Youth Violence Prevention Centers (YVPCs) apply different models to reduce youth violence that are applicable to firearm violence because they are comprehensive, cut across ecological levels, and involve multisector partners that inform firearm injury prevention strategies. In addition, all YVPCs engage youths and communities in reducing violence, which may also be a useful approach to the prevention of firearm violence. YVPCs' role in helping to address firearm violence is vital for public health because in 2019 firearms were the leading mechanism of death among youths aged 10 to 24years in the United States.1 Of the 7779 firearm-related deaths among youths in this age group in 2019, 4483 (57.6%) were attributable to homicide; 2972 (38.2%) to suicide;and 324 (4.2%) to unintentional, undetermined intent, or legal intervention.1 In addition, firearms accounted for 4483 (90.3%) of the 4965 youth homicide deaths and 2972 (45.8%) of the 6488 youth suicide deaths in 2019.1 In 2019, the youth firearm homicide rate was 7.06 per 100 000 and the youth firearm suicide rate was 4.68 per 100 000. Non-Hispanic Black youths experienced firearm homicide rates (31.02 per 100 000) that were 17.5 times higher than those of non-Hispanic White youths (1.77 per 100 000), and firearm homicides among non-Hispanic Black youths accounted for 66.2% of all youth firearm homicides in 2019.1 In total, 7455 youths aged 10 to 24years died by firearm homicide or suicide in 2019, which translates to more than 20 youths dying every day from these firearm-related injuries.1 Overall, youth firearm mortality rates in 2019 were higher in rural areas (13.25 per 100 000) than in urban areas (12.00 per 100 000). Youth firearm suicide rates were higher in rural areas than urban areas (7.64 vs 3.48 per 100 000), and youth firearm homicide rates were higher in urban areas than rural area (8.14 vs 4.84 per 100 000).2 Firearm-related mortality rates for youths have surpassed rates of motor vehicle (MV)-related deaths in the United States since 2016.1 The fact is that between 2008 and 2017, the federal government spent on average $1 million annually on research addressing firearm-related deaths among those aged 1 to 18 years, compared with $88 million annually on research for MV-related deaths among youths.

Multiple definitions of rural areas are used in the federal government. Although one universal definition of rural does not exist, the choice of definition used for a particular government program or researcher depends on the various geographies and population, different aspects of rurality in terms of socioeconomic characteristics, and purpose of intervention. Using the U.S. Department of Housing and Urban Development (HUD) administrative data, the author investigates how some of the most commonly used rural classifications could affect the number, demographic, and economic characteristics of the HUD-assisted population in major assistance programs in rural areas as a consequence of those differences in definition. This article analyzes the differences by definition, degrees of overlapping areas, and rural HUD coverage then investigates selected demographic and economic differences among HUD-assisted rural households by diverse rural definitions. Whereas the size of the HUD-assisted population varies greatly depending on the rural definition, demographic characteristics appear more consistent with each other; however, economic characteristics display more variability by varying definitions. Understanding the differences in assisted populations could provide valuable insights to researchers and policymakers to identify a definition of rural best suited for specific purposes.

First responders have told them that there are elderly residents who have no way to call for help or access telemedicine appointments with doctors because they have no internet service. Since 2020, more than $1 billion in broadband infrastructure grants have been awarded in Arkansas, covering about 330,000 locations. \"There may be areas where there are 10 households or less for a mile of fiber you have to build, so the cost of reaching those homes becomes very, very heavy, and the ability to recover, through a rate base, that investment becomes challenging.\" Since 2020, Windstream has been awarded about $56 million in grants for 12 broadband expansion projects to about 17,000 customer locations in rural Arkansas, including Grant, Dallas and Cleburne counties.

The WHO Africa Region faces a shortage of health workers due to inadequate production of health workers and emigration of physicians and nurses to wealthier countries. South Africa and the United States share a history of discriminatory policies and practices resulting in groups that are under-represented amongst health professionals. One US response is the Area Health Education Centers Program (AHEC), a pipeline program to recruit members of under-represented groups into the health professions. (1) Compare and contrast the United States' AHEC model with that developed in South Africa by Stellenbosch University Faculty of Medicine and Health Sciences SA AHEC in partnership with Morehouse School of Medicine in the United States. (2) Describe a formative evaluation of the Stellenbosch AHEC Program. Methods: Four hundred students (grades 7-12) and 150 teachers participated in SA AHEC with the goal of preparing the students to better compete for university admission. Students received after-school tutoring, holiday schools, and counselling on study skills, health careers, and university entry. Educators received continuing professional education, classroom observation, and feedback. The program was evaluated through a series of interviews and focus groups involving AHEC staff, educators, and parents and caregivers. Program strengths included educator training, collaboration, and increased student maturity, motivation, and academic success. Challenges included limited time with students, the location of some sites, and the educators' need for more engagement with AHEC staff and schools. Quarterly workshops were conducted to address challenges. Over 50% of program alumni are currently enrolled in institutions of higher education. Students will be tracked to determine whether they are able to complete their health professions studies and return to the communities where they grew up, or to similar communities. With appropriate adaptation and attention to context, it might be possible to implement similar programmes in other African countries. The comparison of the United States and South African models suggested that more parent and teacher participation in an advisory capacity might help to avoid some challenges.

Nearly one quarter of Texans live in areas the Census Bureau labels as hard-to-count. These are places where the census self-response rates are low and require follow-up. While some states like California are spending millions on finding all of their residents, Texas is one of only 14 states without any resolutions in support of the census effort. Without statewide organization, county and city governments scramble to fill the organizational role. Here, Lowe discusses the important role of libraries in the 2020 census.

The federal government of Nigeria started the Midwives Service Scheme in 2009 to address the scarcity of skilled health workers in rural communities by temporarily redistributing midwives from urban to rural communities. The scheme was designed as a collaboration among federal, state and local governments. Six years on, this study examines the contextual factors that account for the differences in performance of the scheme in Benue and Kogi, two contiguous states in central Nigeria. We obtained qualitative data through 14 in-depth interviews and 2 focus group discussions: 14 government officials at the federal, state and local government levels were interviewed to explore their perceptions on the design, implementation and sustainability of the Midwives Service Scheme. In addition, mothers in rural communities participated in 2 focus group discussions (one in each state) to elicit their views on Midwives Service Scheme services. The qualitative data were analysed for themes. The inability of the federal government to substantially influence the health care agenda of sub-national governments was a significant impediment to the achievement of the objectives of the Midwives Service Scheme. Participants identified differences in government prioritisation of primary health care between Benue and Kogi as relevant to maternal and child health outcomes in those states: Kogi was far more supportive of the Midwives Service Scheme and primary health care more broadly. High user fees in Benue was a significant barrier to the uptake of available maternal and child health services. Differential levels of political support and prioritisation, alongside financial barriers, contribute substantially to the uptake of maternal and child health services. For collaborative health sector strategies to gain sufficient traction, where federating units determine their health care priorities, they must be accompanied by strong and enforceable commitment by sub-national governments.