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Urban-Rural Disparities in Vaccination Service Use Among Low-Income Adolescents
Abstract
Objective: To access urban-rural disparities in vaccination service use among Medicaid-enrolled adolescents and examine its association with residence county characteristics.
Study design: We used the 2016 Medicaid T-MSIS Analytic File to estimate adolescents’ use of vaccination services, defined as the proportion of adolescents aged 11-18 years with ≥ 1 vaccination visit in a county. We used linear regression and Oaxaca-Blinder decomposition method to examine the association between county characteristics and urban-rural disparities in vaccination service use.
Results: The analysis included 2,473 counties located in 38 states. The mean proportion of adolescents making ≥ 1 vaccination visit at the county level was low (36.09%) and was lower in rural than in urban counties (31.99% versus 36.85%, P < 0.01). Number of primary care physicians (PCPs) was positively associated with vaccination service use in rural counties; in urban counties, % households without a vehicle was negatively associated with vaccination service use. The decomposition results showed that 66.78% (3.24 percentage points) of the urban-rural disparities in vaccination service use could be attributed to urban-rural differences in the county characteristics included in the study. Characteristics measuring access to care (number of PCPs), social and economic factors (% adults with at least a bachelor’s degree and % children in poverty), quality of care (influenza vaccination rates and preventable hospital stays), and demographics (% non-Hispanic black, % Hispanic, and % females) played a role in urban-rural disparities.
Conclusions: Differences in county characteristics could partly explain the observed urban-rural disparities in vaccination service use among low-income adolescents.
... A COVID-19 vaccination coverage survey conducted among US veterans showed that the vaccination rate of rural veterans was higher than that of urban veterans [39]. On the other hand, some research results showed higher vaccination rates in urban areas compared to rural areas [40,41]. In a survey of COVID-19 vaccination in the United States, the findings showed that the vaccination rate in urban areas was higher compared to rural areas [40]. ...
... In a survey of influenza vaccination among adults in the United States, results showed that the vaccination rate was higher in cities than in rural areas [36]. A survey conducted among adolescents in the United States assessing the use of vaccination services for vaccines, such as MenACWY (meningococcal serogroups A, C, W, and Y), Tdap (tetanus, diphtheria, pertussis), HPV, and influenza, revealed that urban adolescents had a higher rate of utilization compared to their rural counterparts [41]. ...
Background
Vaccination plays an important role in preventing COVID-19 infection and reducing the severity of the disease. There are usually differences in vaccination rates between urban and rural areas. Measuring these differences can aid in developing more coordinated and sustainable solutions. This information also serves as a reference for the prevention and control of emerging infectious diseases in the future.
Objective
This study aims to assess the current coverage rate and influencing factors of COVID-19 (second booster) vaccination among Chinese residents, as well as the disparities between urban and rural areas in China.
Methods
This cross-sectional study used a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining), and northeast (Mudanjiang) Mainland China from February 1 to February 18, 2023. The questionnaires were developed by experienced epidemiologists and contained the following: sociodemographic information, health conditions, vaccine-related information, information related to the Protective Motivation Theory (PMT), and the level of trust in the health care system. Vaccination rates among the participants were evaluated based on self-reported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants. Urban-rural disparities in the vaccination rate were assessed using propensity score matching (PSM).
Results
A total of 5780 participants were included, with 53.04% (3066/5780) being female. The vaccination rate was 12.18% (704/5780; 95% CI 11.34-13.02) in the total sample, 13.76% (341/2478; 95% CI 12.40-15.12) among the rural participants, and 10.99% (363/3302; 95% CI 9.93-12.06) among the urban participants. For rural participants, self-reported health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the health care system were independent factors associated with vaccination (all P＜.05). For urban participants, chronic conditions, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the health care system were independent factors associated with vaccination (all P＜.05). PSM analysis uncovered a 3.42% difference in vaccination rates between urban and rural participants.
Conclusions
The fourth COVID-19 vaccination coverage rate (second booster) among the Chinese population was extremely low, significantly lower than the previous vaccine coverage rate. Given that COVID-19 infection is still prevalent at low levels, efforts should focus on enhancing self-efficacy to expand the vaccine coverage rate among the Chinese population. For rural residents, building awareness of the vaccine’s benefits and improving their overall health status should be prioritized. In urban areas, a larger proportion of people with COVID-19 and patients with chronic illness should be vaccinated.
... In contrast, they showed statistically significant odds that knowledge and practice about HPV and its vaccination were low at the municipal level and among girls from areas with lower population density when compared with those living in denser areas (12)(13) . Most of the disparities in vaccination service use can be attributed to differences in municipal characteristics, such as access to care, social and economic factors (13) . ...
... In contrast, they showed statistically significant odds that knowledge and practice about HPV and its vaccination were low at the municipal level and among girls from areas with lower population density when compared with those living in denser areas (12)(13) . Most of the disparities in vaccination service use can be attributed to differences in municipal characteristics, such as access to care, social and economic factors (13) . Thus, it is perceived that specific characteristics of municipalities can explain possible inequalities in knowledge, attitude and practice related to HPV vaccination among adolescents. ...
Objective
to analyze factors associated with knowledge, attitude, and practice of schoolgirls about vaccination against Human Papillomavirus in large and medium-sized cities.
Methods
cross-sectional analytical study conducted with 210 schoolgirls. The knowledge, attitude and practice survey was applied, and the vaccination scheme was verified. Association tests, prevalence ratio and Poisson regression with robust variance were used.
Results
girls from the large metropolitan area had lower knowledge and practice (p=0.000). Adequacy of Knowledge in the big metropolis among white and catholic girls was higher, as well as that of Attitude. Family income of up to two thousand reais revealed lower adequacy of Attitude and Practice, and age below 12 years was lower for Attitude.
Conclusion
factors associated with adequate knowledge about the vaccine against Human Papillomavirus were race and religion; to adequate attitude, were age, race, and income; and to adequate practice, was income. Contributions to practice: enable reflection and awareness about the importance of vaccination against Human Papillomavirus among schoolgirls as well as stimulate the planning of more effective strategies, to incite individuals to establish information exchanges on sexual and reproductive health, considering the social space of each municipality.
... This highlights the urgency of addressing underimmunization in the urban cities [7,8]. Even though urban areas have been shown to have higher vaccination coverage compared to rural ones, mainly due to better access to healthcare facilities and more staff and greater access to vaccines, there are still specific barriers that can reduce immunization coverage compared to rural areas, including population diversity and urban poverty [9]. ...
Introduction: Under-immunization remains a major global public health concern. The World Health Organization (WHO) reports that approximately 20 million children globally are not fully vaccinated, with more than half of these children residing in Africa. African countries including Cameroon face unique challenges in achieving high vaccination coverage. This study aimed to determine the prevalence and determinants of under-immunization among children aged 0–59 months in Buea, Cameroon to contribute to effective national immunization policy.
Methods: This cross-sectional study used the World Health Organization Behavioural and Social Determinants of vaccination tool to collect data from 438 caregivers of children aged 0–59 months in the city of Buea. Data were collected on socio-demographics, immunization factors, and health system variables for the study cohort.
Results: It was found that 25.11% of children in urban Buea were under-immunized. Children in Buea Town were three times more likely to be under-immunized than those in Molyko (AOR = 3.0, 95% CI: 1.3–7.3, p = 0.013). Children of separated caregivers were 0.2 times less likely to be under-immunized than those of widowed caregivers (AOR = 0.2, 95% CI: 0.1–0.9, p = 0.036). Children whose caregivers did not receive unsolicited advice were 2.1 times more likely to be under-immunized (AOR = 2.1, 95% CI: 1.2–3.4, p = 0.006). Children living less than 1 mile from health facilities were 2.9 times more likely to be under-immunized than those living more than 10 miles away (AOR = 2.9, 95% CI: 1.1–7.5, p = 0.030). Children of caregivers employed in the private sector were 4.3 times more likely to be under-immunized compared to those of unemployed caregivers (AOR = 4.3, 95% CI: 1.1–16.2, p = 0.031). Children in non-owned/non-rented houses were 0.3 times less likely to be under-immunized compared to those in rented houses (AOR = 0.3, 95% CI: 0.1–0.9, p = 0.030). Children whose caregivers did not discuss vaccination concerns with healthcare workers were 0.6 times less likely to have under-immunized children (COR = 0.6, 95% CI: 0.3–0.9, p = 0.020).
Conclusions: It was concluded that under-immunization is a significant public health problem in the city of Buea. Interventions that target the quality of services, community engagement, and the unique challenges faced by different caregiver groups, are needed.
... This indicates that the current layout of urban park green spaces in the center and suburbs of Nanjing is extremely inequitable for low-income resident groups. This is consistent with the view of existing research that low-income groups are at a disadvantage in enjoying urban public resources [47]. .0339, ...
Urban park green spaces (UPGS) are essential resources for improving the urban ecological environment and meeting residents’ recreational needs. However, during rapid urbanization, the layout of UPGS often exhibits spatial inequity, with significant differences in the resources enjoyed by resident groups with different socioeconomic attributes. Accurately assessing the spatial equity of the UPGS layout (the equal accessibility of UPGS) is crucial for optimizing resource allocation and promoting social equity. This study takes the main urban area of Nanjing as an example and utilizes location-based service (LBS) data and multi-source geographic data to conduct an in-depth characterization of residents’ socioeconomic attributes, recreational behaviors, and park green space layout at the street scale. By constructing indicators of resident heterogeneity and UPGS supply–demand matching degree, it reveals the differences in park green space accessibility among different social groups and locations and explores the correlation between resident heterogeneity and UPGS spatial equity. The study finds that the layout of UPGS in the main urban area of Nanjing exhibits significant spatial inequity, with generally poor accessibility to park green spaces in the central urban area and low-income communities. The higher degree of diversification of residents’ socioeconomic attributes leads to a lower level of UPGS spatial equity in their streets. The results of the big data analysis verify the significant impact of resident heterogeneity on the equity of park green space layout. This study reveals the spatial equity issues of UPGS layout from the perspective of resident heterogeneity, providing new ideas and evidence for optimizing the allocation of park green space resources. Future UPGS planning should pay more attention to the diversity of residents’ recreational needs, focus on improving the accessibility of park green spaces in central urban areas and low-income communities, and balance the interests and demands of different stakeholders through public participation mechanisms.
... The negligence of specific regions and rural areas, combined with age groups, can exacerbate disparities in vaccination coverage. Specifically, pneumococcal vaccination for older adults has demonstrated substantial differences across the urbanicity of regions (Gatwood et al., 2020;Talbert et al., 2018;Tsai et al., 2021). The overall mean vaccination rate for pneumococcal vaccines among the elderly (aged 65 or older) in urban areas was 40% higher than in rural communities (Talbert et al., 2018). ...
The COVID-19 pandemic has demonstrated the importance of large-scale campaigns to facilitate vaccine adherence. Social media presents unique opportunities to reach broader audiences and reduces the costs of conducting national or global campaigns aimed at achieving herd immunity. Nonetheless, few studies have reviewed the effectiveness of prior social media campaigns for vaccine adherence, and several prior studies have shown that social media campaigns do not increase uptake rates. Hence, our objective is to conduct a systematic review to examine the effectiveness of social media campaigns and to identify the reasons for the mixed results of prior studies. Our methodology began with a search of seven databases, which resulted in the identification of 92 interventions conducted over digital media. Out of these 92 studies, only 15 adopted social media campaigns for immunization. We analyzed these 15 studies, along with a coding scheme we developed based on reviews of both health interventions and social media campaigns. We hired multiple coders who were knowledgeable about social media campaigns and healthcare to analyze the 15 cases and obtained an acceptable level of inter-coder reliability. The results from our systematic review show that only a few social media campaigns have succeeded in enhancing vaccine adherence. In addition, few campaigns have utilized known critical success factors of social media to induce vaccine adherence. Based on these findings, we discuss a set of research questions that informatics scholars should consider when identifying opportunities for using social media to resolve one of the most resilient challenges in public health. Finally, we conclude by discussing how the insights drawn from our systematic reviews contribute to advancing theories, such as social influence and the health belief model, into the realm of social media–based health interventions.
... However, inequities and disparities also extend to vaccinations. Presently, in the U.S., children, adolescents, and adults who are uninsured, living in rural communities, have lower levels of income, and identify as a person of color, experience lower rates of recommended vaccination (18)(19)(20). Given the benefits and significance of human milk, lactation, and vaccines across the life course, the barriers need to be addressed to make certain that all mothers and infants, especially those most marginalized, have access to critical resources and supports during the perinatal period. ...
Human milk contains three antibody classes that confer mucosal immunity to the breastfed infant: secretory IgA (SIgA), secretory IgM (SIgM), and IgG. Influenza and pertussis vaccines administered during pregnancy induce pathogen specific SIgA and IgG responses in human milk that have been shown to protect the breastfed infant from these respiratory illnesses. In addition, mRNA vaccines against the SARS-CoV-2 virus administered during pregnancy and lactation induce anti-SARS-CoV-2 IgG and IgA responses in human milk. This review summarizes the immunologic benefits of influenza, pertussis, and COVID-19 vaccines conferred by human milk. Additionally, future research direction in human milk immunity and public health needs to improve lactational support are discussed.
... First, more social capital variables are related to vaccine uptake rates among rural counties as compared to the small and large urban counties. This finding implies that social capital may have more of an impact on individuals' healthrelated behaviors, such as vaccine uptake, in rural counties [39]. Second, among varying degrees of urbanization, vaccine uptake was associated with different social capital variables. ...
Vaccination remains the most promising mitigation strategy for the COVID-19 pandemic. However, existing literature shows significant disparities in vaccination uptake in the United States. Using publicly available national-level data, we aimed to explore if county-level social capital can further explain disparities in vaccination uptake rates when adjusting for demographic and social determinants of health (SDOH) variables, and if association between social capital and vaccination uptake may vary by urbanization level. Bivariate analyses and a hierarchical multivariable quasi-binomial regression analysis were conducted, where the regression analysis was stratified by urban-rural status. The current study suggests that social capital contributes significantly to the disparities of vaccination uptake in the US. The results of the stratification analysis show common predictors of vaccine uptake but also suggest various patterns based on urbanization level regarding the associations of COVID-19 vaccination uptake with SDOH and social capital factors. The study provides a new perspective to address disparities in vaccination uptake through fostering social capital within communities; which may inform tailored public health intervention efforts to enhance social capital and promote vaccination uptake.
... First, more social capital variables are related to vaccine uptake rates among rural counties as compared to the small and large urban counties. This finding implies that social capital may have more of an impact on individuals' health-related behaviors, such as vaccine uptake, in rural counties [37]. Second, among varying degrees of urbanization, vaccine uptake was associated with different social capital variables. ...
Vaccination remains the most promising mitigation strategy for the COVID-19 pandemic. However, existing literature shows significant disparities in vaccination uptake in the United States. Using publicly available national-level data, we aimed to explore if county-level social capital can further explain disparities in vaccination uptake rate adjusting for demographic and social determinants of health (SDOH) variables; and if association between social capital and vaccination uptake may vary by urbanization level. Bivariate analyses and hierarchical multivariable quasi-binomial regression analysis were conducted, then the regression analysis was stratified by urban-rural status. The current study suggests that social capital contributes significantly to the disparities of vaccination uptake in the US. The results of stratification analysis show common predictors of vaccine uptake but also suggest various patterns based on urbanization level regarding the associations of COVID-19 vaccination uptake with SDOH and social capital factors. The study provides a new perspective to address disparities in vaccination uptake through fostering social capital within communities, which may inform tailored public health intervention efforts in enhancing social capital and promoting vaccination uptake.
Objectives
As the first socio-demographic profiling of HPV vaccines in Chinese cities, this study assesses equity implications through compositional analysis of covered populations, with multilevel examination of vaccine-type selection determinants.
Method
Utilizing HPV vaccination data obtained from the Jinnan Center for Disease Control and Prevention (CDC) spanning from 2018 to 2023, we conducted a retrospective analysis. Hierarchical logistic regression was employed to model the joint effects of age, ethnicity, occupation, and urban–rural residence on vaccination behaviors. Vaccine type preference was categorized as bivalent, quadrivalent, or nonavalent.
Result
Three key disparities were revealed in the analysis. Age-stratified access revealed the highest proportion of recipients among women aged 33–38 years (29.6%) and 39–44 years (21.9%), contrasting with less than 1% participation in the 9–14 year-old cohort. Educationally, 87.3% held at least a bachelor’s degree, compared to 12.7% with below-college education (χ² = 6048.89, p < 0.001). Clear urban–rural divide, with 99.7% of recipients in urban areas and just 0.3% in rural areas (χ² = 76.79, p < 0.001). Vaccine-type selection showed socioeconomic patterns, with nonavalent vaccines preferred by urban professionals (OR = 1.577, 95% CI: 1.16–2.142) and those with incomes above 5000 yuan (OR = 1.958, 95% CI: 0.26–3.527).
Conclusion
Demonstrating Hart’s Inverse Care Law, Tianjin’s program disproportionately immunizes socioeconomically secure urbanites. We propose: (1) school-based mandates for pre-sexual debut cohorts; (2) rural vaccination-social insurance integration; (3) domestic 9-valent vaccine development with needs-based subsidies. These evidence-based reforms are critical for achieving equitable 90% coverage by 2030.
Adolescents in rural communities have less access to healthcare and experience more adverse health outcomes compared to their peers in urban centers. Remote location, frequency of overcrowding in households, limited availability of medical resources, and paucity of medical providers in rural areas contribute to these disparities. Telehealth is an important tool in addressing many of these barriers and broadening access to healthcare. Telehealth is used to provide direct patient care but can also help general providers and community health workers obtain additional specialty support in caring for complex patients in rural locations.
Objective:
To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously.
Data sources:
We supplement claims and enrollment from the Transformed Medicaid Statistical Information System representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation.
Study design:
We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state.
Data extraction methods:
We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions.
Principal findings:
Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes having rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p<0.01). This pattern is driven by asthma-related preventable hospitalizations.
Conclusions:
Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high quality preventive care and that address structural drivers of children's health inequities.
Vaccines reduce the morbidity and mortality of many illnesses. All practitioners who treat children and adolescents should know the basics of vaccine immunology, the vaccine approval process in the United States, the recommended schedule of vaccines, and the side effect and safety profiles of approved vaccines. Addressing vaccination hesitancy and barriers requires interventions from public health, public policy, healthcare systems, and providers. Understanding immunizations improves the provider's ability to counsel and educate families on vaccination and its importance for their child's and the public's health. This provider-family relationship is crucial to maintaining and improving vaccination uptake.
Currently in the United States, Human Papillomavirus (HPV) vaccination coverage among eligible individuals is lower compared to coverage goals of 80% set by the HealthyPeople 2030 initiative. In this study, we used the National Health and Nutrition Examination Survey (NHANES) 2015-2016 and 2017-2018 datasets to determine the association between HPV vaccine initiation among individuals of ages 9 to 26 years and their patterns of healthcare access and utilization. In particular, we examined the following healthcare characteristics: 1) having a routine place of healthcare, 2) having health insurance coverage, 3) frequency of healthcare visits per year, and 4) type of routine place of healthcare (outpatient primary care vs. ED, etc.). We fit independent multivariable logistic regression models for each NHANES dataset and controlled for sociodemographic characteristics and interactions with healthcare access and utilization characteristics. Our findings suggest that HPV vaccine initiation is positively associated with having a routine place of healthcare (2015-2016: aOR 1.92, 95% CI 1.25-2.95; 2017-2018: aOR 1.99, 95% CI 1.07-3.68). Relatedly, HPV vaccine initiation is negatively associated with never having received healthcare in the past year (2015-2016: aOR 0.61, 95% CI 0.41-0.90; 2017-2018: aOR 0.45, 95% CI 0.27-0.75). The results of this study suggest that interventions to promote HPV vaccination should include strategies that promote access to and utilization of routine health care services. Our findings are particularly salient in light of the drop in HPV vaccine initiation and healthcare access and utilization among adolescents during the COVID-19 pandemic.
The Advisory Committee on Immunization Practices (ACIP) recommends routine vaccination of persons aged 11-12 years to protect against certain diseases, including human papillomavirus (HPV)-associated cancers, meningococcal disease, and pertussis (1). A booster dose of quadrivalent meningococcal conjugate vaccine (MenACWY) is recommended at age 16 years, and serogroup B meningococcal vaccine (MenB) may be administered to persons aged 16-23 years (1). To estimate vaccination coverage among adolescents in the United States, CDC analyzed data from the 2018 National Immunization Survey-Teen (NIS-Teen) which included 18,700 adolescents aged 13-17 years.* During 2017-2018, coverage with ≥1 dose of HPV vaccine increased from 65.5% to 68.1%, and the percentage of adolescents up-to-date† with the HPV vaccine series increased from 48.6% to 51.1%, although the increases were only observed among males. Vaccination coverage increases were also observed for ≥1 MenACWY dose (from 85.1% to 86.6%) and ≥2 MenACWY doses (from 44.3% to 50.8%). Coverage with tetanus and reduced diphtheria toxoids and acellular pertussis vaccine (Tdap) remained stable at 89%. Disparities in coverage by metropolitan statistical area (MSA)§ and health insurance status identified in previous years persisted (2). Coverage with ≥1 dose of HPV vaccine was higher among adolescents whose parents reported receiving a provider recommendation; however, prevalence of parents reporting receiving a recommendation for adolescent HPV vaccination varied by state (range = 60%-91%). Supporting providers to give strong recommendations and effectively address parental concerns remains a priority, especially in states and rural areas where provider recommendations were less commonly reported.
This study examines the relationship between income and health by using an expansion of the Earned Income Tax Credit (EITC), which increased benefits to households with at least two children, as a source of exogenous variations of earnings. The paper adds to previous work by: (1) estimating treatment effects on the treated using simulated EITC benefits and longitudinal data; (2) testing whether health effects vary across the three different parts of the EITC schedule; (3) examining the role of food expenditures and health insurance as potential mechanisms. The study finds that income improves the likelihood of affected heads of households reporting to be in excellent or very good health by 6.9 to 8.9 percentage points. The effects are largest in the plateau phase of the EITC schedule, where previous researchers have identified pure income effects of the program. The results are robust to several additional specifications, including a semi-parametric DD model and specifications that account for the potential endogeneity of sample. When examining potential channels underlying the relationship between income and health, I find that affected household increase their food expenditures by 10.5 to 20.3 percent and are 1.52 percent more likely to have health insurance coverage.
Purpose:
Rural-urban health disparities are well-documented and particularly problematic for older adults. However, determining which specific aspects of rural or urban living initiate these disparities remains unclear. The purpose of this study was to assess associations between place-based characteristics of rural-urban status and health among adults age 65+.
Methods:
Data from the 2012 Behavioral Risk Factor Surveillance System were geographically linked to place-based characteristics from the American Community Survey. Self-reported health (SRH), obesity, and health checkup within the last year were modeled against rural-urban status (distance to nearest metropolitan area, population size, population density, percent urban, Urban Influence Codes [UIC], Rural-Urban Continuum Codes [RUCC], and Rural-Urban Commuting Area [RUCA]) using generalized linear models, accounting for covariates and complex sampling, overall, and stratified by area-level income.
Findings:
In general, increasing urbanicity was associated with a reduction in negative SRH for all 7 measures of rural-urban status. For low-income counties, this association held for all measures and characteristics of rural-urban status except population density. However, for high-income counties, the association was reversed-respondents living in areas of increasing urbanicity were more likely to report negative SRH for 4 of the 7 measures (RUCC, UIC, RUCA, and percent urban). Findings were mixed for the outcome of obesity, where rural areas had higher levels, except in low-income counties, where the association between rurality and obesity was reversed (OR 1.033, 95%CI: 1.002-1.064).
Conclusion:
These results suggest that rural-urban status is both a continuum and multidimensional. Distinct elements of rural-urban status may influence health in nuanced ways that require additional exploration in future studies.
Introduction
While factors associated with receipt of human papillomavirus (HPV) vaccination have been well characterized, less is known about the characteristics associated with parents’ intent to have their adolescent children vaccinated. This study aimed to examine factors associated with parental intention toward HPV vaccination.
Methods
We analyzed data on 10,354 adolescents aged 13 to 17 years from the 2014 National Immunization Survey–Teen. Weighted multivariable logistic regression was used to examine associations between sociodemographic characteristics of mothers and adolescents, as well as a health care provider recommendation with parents’ intention to have their children receive HPV vaccine.
Results
Among unvaccinated adolescents, Hispanic ethnicity (boys adjusted odds ratio [AOR], 1.87, 95% confidence interval [CI], 1.34–2.61; and girls AOR, 1.57; 95% CI, 1.05–2.35), mothers with less than a high school diploma (boys AOR, 2.41; 95% CI, 1.58–3.67; and girls AOR, 1.86; 95% CI, 1.02–3.38), and having a health care provider recommend the vaccine (boys AOR, 1.87; 95% CI, 1.52–2.31; and girls AOR, 1.38; 95% CI, 1.05–1.82) were significantly associated with parents’ intention to have their adolescent child vaccinated within the next 12 months. In addition, non-Hispanic black race was a significant predictor of parents’ intent to vaccinate for boys (AOR, 1.89; 95% CI, 1.35–2.65).
Conclusion
Maternal education and Hispanic ethnicity were the strongest predictors of parental intent to vaccinate against HPV, followed by provider recommendation. As HPV vaccination rates in the United States remain below the Healthy People 2020 goal, messages may need to be targeted based on maternal education, race/ethnicity, and provider recommendation.
PurposeThe rural mortality penaltygrowing disparities in rural-urban macro-level mortality rateshas persisted in the United States since the mid 1980s. Substantial intrarural differences exist: rural places of modest population size, close to urban areas, experience a greater mortality burden than the most rural locales. This research builds on recent findings by examining whether a race-specific rural mortality penalty exists; that is, are some rural areas more detrimental to black and/or white mortality than others? Methods
Using data from the Compressed Mortality File from 1968 to 2012, we calculate annual age-adjusted, race-specific mortality rates for all rural-urban regions designated by the Rural-Urban Continuum Codes. Indicators for population, socioeconomic status, and health infrastructure, as a proxy for access to care, are used as predictors of race-specific mortality in multivariable regression models. FindingsThree important results emerge from this analysis: (1) there is a substantial mortality disadvantage for both black and white rural Americans, (2) the most advantageous regions of mortality for blacks exhibit higher mortality than the most disadvantageous regions for whites, and (3) access to health care is a much stronger predictor of white mortality than black mortality. Conclusions
The rural mortality penalty is evident in race-specific mortality trends over time, with an added disadvantage in black mortality. The rate of mortality improvement for rural blacks and whites lags behind their same-race, urban counterparts, creating a diverging gap in race-specific mortality trends in rural America.
Hispanics and Latinos (Hispanics) are estimated to represent 17.7% of the U.S.
Published national health estimates stratified by Hispanic origin and nativity are lacking.
Four national data sets were analyzed to compare Hispanics overall, non-Hispanic whites (whites), and Hispanic country/region of origin subgroups (Hispanic origin subgroups) for leading causes of death, prevalence of diseases and associated risk factors, and use of health services. Analyses were generally restricted to ages 18-64 years and were further stratified when possible by sex and nativity.
Hispanics were on average nearly 15 years younger than whites; they were more likely to live below the poverty line and not to have completed high school. Hispanics showed a 24% lower all-cause death rate and lower death rates for nine of the 15 leading causes of death, but higher death rates from diabetes (51% higher), chronic liver disease and cirrhosis (48%), essential hypertension and hypertensive renal disease (8%), and homicide (96%) and higher prevalence of diabetes (133%) and obesity (23%) compared with whites. In all, 41.5% of Hispanics lacked health insurance (15.1% of whites), and 15.5% of Hispanics reported delay or nonreceipt of needed medical care because of cost concerns (13.6% of whites). Among Hispanics, self-reported smoking prevalences varied by Hispanic origin and by sex. U.S.-born Hispanics had higher prevalences of obesity, hypertension, smoking, heart disease, and cancer than foreign-born Hispanics: 30% higher, 40%, 72%, 89%, and 93%, respectively.
Hispanics had better health outcomes than whites for most analyzed health factors, despite facing worse socioeconomic barriers, but they had much higher death rates from diabetes, chronic liver disease/cirrhosis, and homicide, and a higher prevalence of obesity. There were substantial differences among Hispanics by origin, nativity, and sex.
Differences by origin, nativity, and sex are important considerations when targeting health programs to specific audiences. Increasing the proportions of Hispanics with health insurance and a medical home (patientcentered, team-based, comprehensive, coordinated health care with enhanced access) is critical. A feasible and systematic data collection strategy is needed to reflect health diversity among Hispanic origin subgroups, including by nativity.
To evaluate the economic impact of the 2009 routine US childhood immunization schedule, including diphtheria and tetanus toxoids and acellular pertussis, Haemophilus influenzae type b conjugate, inactivated poliovirus, measles/mumps/rubella, hepatitis B, varicella, 7-valent pneumococcal conjugate, hepatitis A, and rotavirus vaccines; influenza vaccine was not included.
Decision analysis was conducted using population-based vaccination coverage, published vaccine efficacies, historical data on disease incidence before vaccination, and disease incidence reported during 2005 to 2009. Costs were estimated using the direct cost and societal (direct and indirect costs) perspectives. Program costs included vaccine, administration, vaccine-associated adverse events, and parent travel and work time lost. All costs were inflated to 2009 dollars, and all costs and benefits in the future were discounted at a 3% annual rate. A hypothetical 2009 US birth cohort of 4 261 494 infants over their lifetime was followed up from birth through death. Net present value (net savings) and benefit-cost ratios of routine childhood immunization were calculated.
Analyses showed that routine childhood immunization among members of the 2009 US birth cohort will prevent ∼42 000 early deaths and 20 million cases of disease, with net savings of 68.8 billion in total societal costs, respectively. The direct and societal benefit-cost ratios for routine childhood vaccination with these 9 vaccines were 3.0 and 10.1.
From both direct cost and societal perspectives, vaccinating children as recommended with these vaccines results in substantial cost savings.
Four vaccines are recommended by the Centers for Disease Control and Prevention's Advisory Committee on Immunization Practices for adolescents. Parental attitudes may play a key role in vaccination uptake in this age group. In 2011, we conducted a cross-sectional survey among parents of adolescents in one county in Georgia to identify parental attitudes toward adolescent vaccination, reasons for vaccine acceptance or refusal, and impact of a physician recommendation for vaccination. Physician recommendation was reported as one of the top reasons for receipt or intent to receive any of the vaccines. Physician recommendation of any of the four vaccines was associated with receipt of Tdap (p < 0.001), MCV4 (p < 0.001), and HPV (p = 0.03) and intent to receive Tdap (p = 0.05), MCV4 (p = 0.005), and HPV (p = 0.05). Compared with parents who did not intend to have their adolescent vaccinated with any of the vaccines, parents who did intend reported higher perceived susceptibility (3.12 vs. 2.63, p = 0.03) and severity of disease (3.89 vs. 3.70, p = 0.02) and higher perceived benefit of vaccination (8.48 vs. 7.74, p = 0.02). These findings suggest that future vaccination efforts geared toward parents may benefit from addressing the advantages of vaccination and enhancing social norms. Physicians can play a key role by providing information on the benefits of adolescent vaccination.
To update a 2004 systematic review of health care service use and health outcomes related to differences in health literacy level and interventions designed to improve these outcomes for individuals with low health literacy. Disparities in health outcomes and effectiveness of interventions among different sociodemographic groups were also examined.
We searched MEDLINE®, the Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, PsychINFO, and the Educational Resources Information Center. For health literacy, we searched using a variety of terms, limited to English and studies published from 2003 to May 25, 2010. For numeracy, we searched from 1966 to May 25, 2010.
We used standard Evidence-based Practice Center methods of dual review of abstracts, full-text articles, abstractions, quality ratings, and strength of evidence grading. We resolved disagreements by consensus. We evaluated whether newer literature was available for answering key questions, so we broadened our definition of health literacy to include numeracy and oral (spoken) health literacy. We excluded intervention studies that did not measure health literacy directly and updated our approach to evaluate individual study risk of bias and to grade strength of evidence.
We included good- and fair-quality studies: 81 studies addressing health outcomes (reported in 95 articles including 86 measuring health literacy and 16 measuring numeracy, of which 7 measure both) and 42 studies (reported in 45 articles) addressing interventions. Differences in health literacy level were consistently associated with increased hospitalizations, greater emergency care use, lower use of mammography, lower receipt of influenza vaccine, poorer ability to demonstrate taking medications appropriately, poorer ability to interpret labels and health messages, and, among seniors, poorer overall health status and higher mortality. Health literacy level potentially mediates disparities between blacks and whites. The strength of evidence of numeracy studies was insufficient to low, limiting conclusions about the influence of numeracy on health care service use or health outcomes. Two studies suggested numeracy may mediate the effect of disparities on health outcomes. We found no evidence concerning oral health literacy and outcomes. Among intervention studies (27 randomized controlled trials [RCTs], 2 cluster RCTs, and 13 quasi-experimental designs), the strength of evidence for specific design features was low or insufficient. However, several specific features seemed to improve comprehension in one or a few studies. The strength of evidence was moderate for the effect of mixed interventions on health care service use; the effect of intensive self-management inventions on behavior; and the effect of disease-management interventions on disease prevalence/severity. The effects of other mixed interventions on other health outcomes, including knowledge, self-efficacy, adherence, and quality of life, and costs were mixed; thus, the strength of evidence was insufficient.
The field of health literacy has advanced since the 2004 report. Future research priorities include justifying appropriate cutoffs for health literacy levels prior to conducting studies; developing tools that measure additional related skills, particularly oral (spoken) health literacy; and examining mediators and moderators of the effect of health literacy. Priorities in advancing the design features of interventions include testing novel approaches to increase motivation, techniques for delivering information orally or numerically, "work around" interventions such as patient advocates; determining the effective components of already-tested interventions; determining the cost-effectiveness of programs; and determining the effect of policy and practice interventions.
Approximately 80 million Americans have limited health literacy, which puts them at greater risk for poorer access to care and poorer health outcomes.
To update a 2004 systematic review and determine whether low health literacy is related to poorer use of health care, outcomes, costs, and disparities in health outcomes among persons of all ages.
English-language articles identified through MEDLINE, CINAHL, PsycINFO, ERIC, and Cochrane Library databases and hand-searching (search dates for articles on health literacy, 2003 to 22 February 2011; for articles on numeracy, 1966 to 22 February 2011).
Two reviewers independently selected studies that compared outcomes by differences in directly measured health literacy or numeracy levels.
One reviewer abstracted article information into evidence tables; a second reviewer checked information for accuracy. Two reviewers independently rated study quality by using predefined criteria, and the investigative team jointly graded the overall strength of evidence.
96 relevant good- or fair-quality studies in 111 articles were identified: 98 articles on health literacy, 22 on numeracy, and 9 on both. Low health literacy was consistently associated with more hospitalizations; greater use of emergency care; lower receipt of mammography screening and influenza vaccine; poorer ability to demonstrate taking medications appropriately; poorer ability to interpret labels and health messages; and, among elderly persons, poorer overall health status and higher mortality rates. Poor health literacy partially explains racial disparities in some outcomes. Reviewers could not reach firm conclusions about the relationship between numeracy and health outcomes because of few studies or inconsistent results among studies.
Searches were limited to articles published in English. No Medical Subject Heading terms exist for identifying relevant studies. No evidence concerning oral health literacy (speaking and listening skills) and outcomes was found.
Low health literacy is associated with poorer health outcomes and poorer use of health care services.
Agency for Healthcare Research and Quality.
We reviewed recent evidence on the apparent Hispanic mortality paradox.
Recent studies using vital statistics, national community surveys linked to the National Death Index, Medicare data linked to application records for social security cards maintained in the Social Security Administration NUDIMENT file, and mortality follow-up by regional studies are reviewed critically.
Data based on vital statistics show the greatest mortality advantage compared with non-Hispanic Whites for all Hispanics combined. The advantage is greatest among older people. National Community Surveys linked to the National Death Index show a narrowing of the advantage, and one study suggests that the Mexican Origin mortality advantage can be attributed to selective return migration of less healthy immigrants to Mexico. The Medicare-NUDIMENT data that avoid problems of other data sets also show an advantage in mortality among Hispanic elders, although the advantage is considerably lower than is found using the vital statistics method.
Although some research has recently begun to question whether indeed all Hispanic groups enjoy a mortality advantage, the majority of the evidence continues to support a mortality advantage at a minimum among Mexican Americans and especially in old age, at least among men, which may provide partial, albeit indirect, support for a selective return migration or "salmon bias" effect. There is a need to further explore the existence of a selective return migration effect with expanded data bases that include more subjects from the various Hispanic origins. To date, the majority of the evidence continues to support the Hispanic paradox at least among people of Mexican origin and calls for additional attention to this interesting and highly important phenomenon.
Growing up in a rural setting is a strong predictor of future rural practice for physicians. This study reports on the fifteen-year decline in the number of rural medical students, culminating in rural students' representing less than 5 percent of all incoming medical students in 2017. Furthermore, students from underrepresented racial/ethnic minority groups in medicine (URM) with rural backgrounds made up less than 0.5 percent of new medical students in 2017. Both URM and non-URM students with rural backgrounds are substantially and increasingly underrepresented in medical school. If the number of rural students entering medical school were to become proportional to the share of rural residents in the US population, the number would have to quadruple. To date, medical schools' efforts to recognize and value a rural background have been insufficient to stem the decline in the number of rural medical students. Policy makers and other stakeholders should recognize the exacerbated risk to rural access created by this trend. Efforts to reinforce the rural pipeline into medicine warrant further investment and ongoing evaluation.
All-cause mortality rates in rural areas have exceeded those in urban areas of the US since the 1980s, and the gap continues to widen. Yet no definitive causes of this difference are known, and within-state differences that might be amenable to state-level policy have not been explored. An analysis of 2016 state-level data indicated that rural mortality exceeded urban mortality in all but three states, with substantial variability in both rates across states. Overall, higher rural mortality at the state level can be mainly explained by three factors: socioeconomic deprivation, physician shortages, and lack of health insurance. To a certain degree, these factors reflect a state's health policies, such as expansion of eligibility for Medicaid, health infrastructure, and socioeconomic conditions. Our findings suggest that state and federal policy efforts to address rural-urban disparities in these areas could alleviate the higher rates of all-cause mortality faced by rural US residents.
People living in rural areas have worse health outcomes than their urban counterparts do. Understanding what factors account for this could inform policy interventions for reducing rural-urban disparities in health. We examined a nationally representative survey of Medicare beneficiaries with one or more complex chronic conditions, which represented 61 percent of rural and 57 percent of urban Medicare beneficiaries. We found that rural residence was associated with a 40 percent higher preventable hospitalization rate and a 23 percent higher mortality rate, compared to urban residence. Having one or more specialist visits during the previous year was associated with a 15.9 percent lower preventable hospitalization rate and a 16.6 percent lower mortality rate for people with chronic conditions, after we controlled for having one or more primary care provider visits. Access to specialists accounted for 55 percent and 40 percent of the rural-urban difference in preventable hospitalizations and mortality, respectively. Medicare should consider interventions for rural beneficiaries who lack access to specialist care to reduce rural-urban disparities in health outcomes.
Background
In this study, we used data from the National Immunization Survey‐Teen (NIS‐Teen) to examine HPV vaccination uptake by rural and urban residence defined by ZIP code.
Methods
We used 2012‐2013 NIS‐Teen data to examine associations of HPV vaccination among teens aged 13‐17 years with ZIP code measures of rural/urban (Rural‐Urban Commuting Area (RUCA) codes, population density). Multivariable logistic regression was used to estimate the odds of HPV vaccination initiation (≥ 1 dose) and completion (≥ 3 doses).
Results
HPV vaccination was lower among girls from isolated small rural towns (≥1 dose 51.0%; ≥3 doses 30.0%) and small rural towns (≥1 dose 50.2%; ≥3 doses 26.8%) than among urban girls (≥1 dose 56.0%; ≥3 doses 35.9%). Girls from small rural towns had lower odds of completion (0.74, 95% CI: 0.60‐0.91) than girls from urban areas. HPV vaccination was lower among boys from isolated small rural towns (≥1 dose 17.3%; ≥3 doses 5.31%) and small rural towns (≥1 dose 18.7%; ≥3 doses 5.50%) than those in urban areas (≥1 dose 28.7%; ≥3 doses 10.7%). Boys in isolated small rural towns had statistically significantly lower odds of initiation (0.68, 95% CI: 0.52‐0.88) and completion (0.63, 95% CI: 0.41‐0.97) than urban boys. Girls and boys from high‐poverty rural areas had lower odds of initiation and completion than did their counterparts from high‐poverty urban areas.
Conclusion
Rural girls had lower odds of completing the HPV vaccine than their urban counterparts. Rural boys had lower odds than urban boys for HPV vaccination initiation and completion.
Objective:
Because most adolescent vaccinations are delivered in primary care, opportunities to vaccinate depend on the presence of visits and types of visits. We evaluated: 1) national visit patterns (having an annual preventive visit with a physician, provider type seen, visit types) for adolescents across the United States, and 2) the type of physician visits at which vaccines are administered for this age group.
Methods:
We performed a secondary data set analysis of the 2014 Medical Expenditure Panel Survey. Data are collected through interviews of caregivers of a nationally representative sample of the noninstitutionalized US population. We used descriptive analyses to examine use of health care according to age and gender, and visit types at which vaccines were given according to age.
Results:
During a 12-month period, almost half of participants had no primary care physician (PCP) visits, and one-third had a preventive visit to a PCP. An additional 19% had only nonpreventive care visits to a PCP. Uninsured participants had the highest rate of no care, and the lowest rate of preventive care. Most preventive care visits by adolescents 11 to 17 years of age were to pediatricians, and most visits among those 18 to 21 years of age were to family/general practitioners. Overall, 67% of non-check-up PCP visits were for acute care, 10% were for follow-up, and 7% for immunization only. Nationally, 61%, 26%, and 12% of vaccines were given at preventive, immunization-only, and acute/follow-up visits, respectively.
Conclusions:
Fewer than half of adolescents receive preventive care, and many have no PCP visits. This reinforces the need to offer outreach to adolescents to improve rates of preventive visits, and to take advantage of all primary care visits for vaccinations. Because pediatricians and family practice/general practice physicians vaccinate most adolescents, these providers should remain the target audience for vaccine education and quality improvement activities.
Introduction:
This is a nationally representative study of rural-urban disparities in the prevalence of probable dementia and cognitive impairment without dementia (CIND).
Methods:
Data on non-institutionalized U.S. adults from the 2000 (n=16,386) and 2010 (n=16,311) cross-sections of the Health and Retirement Study were linked to respective Census assessments of the urban composition of residential census tracts. Relative risk ratios (RRR) for rural-urban differentials in dementia and CIND respective to normal cognitive status were assessed using multinomial logistic regression. Analyses were conducted in 2016.
Results:
Unadjusted prevalence of dementia and CIND in rural and urban tracts converged so that rural disadvantages in the relative risk of dementia (RRR=1.42, 95% CI=1.10, 1.83) and CIND (RRR=1.35, 95% CI=1.13, 1.61) in 2000 no longer reached statistical significance in 2010. Adjustment for the strong protective role of educational attainment reduced rural disadvantages in 2000 to statistical nonsignificance, whereas adjustment for race/ethnicity resulted in a statistically significant increase in RRRs in 2010. Full adjustment for sociodemographic and health factors revealed persisting rural disadvantages for dementia and CIND in both periods with RRR in 2010 for dementia of 1.79 (95% CI=1.31, 2.43) and for CIND of 1.38 (95% CI=1.14, 1.68).
Conclusions:
Larger gains in rural adults' cognitive functioning between 2000 and 2010 that are linked with increased educational attainment demonstrate long-term public health benefits of investment in secondary education. Persistent disadvantages in cognitive functioning among rural adults compared with sociodemographically similar urban peers highlight the importance of public health planning for more rapidly aging rural communities.
Objective:
To evaluate the effect of Medicaid coverage on dental care outcomes, a major health concern for low-income populations.
Data sources:
Primary and secondary data on health care use and outcomes for participants in Oregon's 2008 Medicaid lottery.
Study design:
We used the lottery's random selection to gauge the causal effects of Medicaid on dental care needs, medication, and emergency department visits for dental care.
Data collection:
Data were collected for lottery participants over 2 years, including mail surveys (N = 23,777) and in-person questionnaires (N = 12,229). Emergency department (ED) records were matched to lottery participants in Portland (N = 24,646).
Principal findings:
Medicaid coverage significantly reduced the share of respondents who reported needing dental care (-9.8 percentage points, p < .001) or having unmet dental care needs (-13.5 percentage points, p < 0.001). Medicaid doubled the share visiting the ED for dental care (+2.6 percentage points, p = .003) and the use of anti-infective medications often prescribed for dental care, but it had no detectable effect on uncovered dental care or out-of-pocket spending.
Conclusions:
Expansion of Medicaid covering emergency dental care substantially reduced unmet need for dental care, increasing ED dental visits and medication use, while not changing patient use of uncovered dental services.
Background and purpose:
The aim of this literature review is to explore barriers and potential solutions related to hospice (HC) and palliative care (PC) services among rural residents. Although the healthcare system is continually advancing, healthcare providers may not be optimizing HC and PC referrals for the growing rural population who underutilize these services. Suggested methods to close the utilization gap between HC and PC services among rural patients appear feasible, but universal effectiveness cannot be determined.
Methods:
An integrative literature review was conducted to evaluate diverse sources of literature. An electronic literature search was carried out using databases MEDLINE, CINAHL, Cochrane, PsycINFO, and Pubmed. The search was limited to English only, full text, peer reviewed, and published between 2010 and 2016. Search terms included rural, hospice, palliative, care access, and barriers.
Conclusion:
There are several barriers that interrelate to decreased utilization of PC and HC for rural populations and there are many options for overcoming them to equalize care.
Implications for practice:
Although advances to the general healthcare system are expediently rising, the rural patient population seems to fall short of these important life-changing services, especially in the realm of PC/HC. Beginning in primary care, this patient population can be affected and included in a positive manner.
Background
Obesity affects over one‐third of older adults in the United States. Both aging and obesity contribute to an increased risk for chronic disease, early mortality, and additional health care utilization. Obesity rates are higher in rural areas than in urban areas, although findings are mixed. The objectives of this study are to assess potential nonlinearity in the association between rurality and obesity, and to evaluate the potential for socioeconomic status and geographic area to moderate the associations between rurality and obesity.
Methods
Using a representative sample of adults aged 65 and above from the Behavioral Risk Factor Surveillance System, obesity (BMI ≥ 30 kg/m ² ) was modeled against the primary exposure of rural‐urban status, as measured by the Index of Relative Rurality. Binary logistic regression models were used to estimate the odds of obesity by rurality both as a continuous variable and by decile of rurality. Models were then stratified by per‐capita income and state to assess potential moderation by these factors.
Results
The prevalence of obesity in older adults was highest in intermediate rurality areas (OR in rurality decile #5 1.134, 95% CI: 1.086‐1.184) and lowest in the most rural and most urban areas. Obesity was highest in low‐ and middle‐income areas, regardless of rural‐urban status. In high‐income areas, obesity among older adults was highest in areas of intermediate rurality and lowest in the most rural areas (OR 0.726, 95% CI: 0.606‐0.870) and more urban areas, showing a J‐shaped association. There were substantial differences in the associations between rurality and obesity in older adults among states.
Conclusion
Associations between rurality and obesity varied by degree of rurality, socioeconomic status, and geography. Therefore, traditional “one‐size‐fits‐all” approaches to reducing rural‐urban health disparities in older adults may be more effective if tailored to the area‐specific rural‐urban gradients in health.
Background:
In 2014, only 26 states and the District of Columbia chose to implement the Patient Protection and Affordable Care Act (ACA) Medicaid expansions for low-income adults.
Objective:
To evaluate whether the state Medicaid expansions were associated with changes in insurance coverage, access to and utilization of health care, and self-reported health.
Design:
Comparison of outcomes before and after the expansions in states that did and did not expand Medicaid.
Setting:
The United States.
Participants:
Citizens aged 19 to 64 years with family incomes below 138% of the federal poverty level in the 2010 to 2014 National Health Interview Surveys.
Measurements:
Health insurance coverage (private, Medicaid, or none); improvements in coverage over the previous year; visits to physicians in general practice and specialists; hospitalizations and emergency department visits; skipped or delayed medical care; usual source of care; diagnoses of diabetes, high cholesterol, and hypertension; self-reported health; and depression.
Results:
In the second half of 2014, adults in expansion states experienced increased health insurance (7.4 percentage points [95% CI, 3.4 to 11.3 percentage points]) and Medicaid (10.5 percentage points [CI, 6.5 to 14.5 percentage points]) coverage and better coverage than 1 year before (7.1 percentage points [CI, 2.7 to 11.5 percentage points]) compared with adults in nonexpansion states. Medicaid expansions were associated with increased visits to physicians in general practice (6.6 percentage points [CI, 1.3 to 12.0 percentage points]), overnight hospital stays (2.4 percentage points [CI, 0.7 to 4.2 percentage points]), and rates of diagnosis of diabetes (5.2 percentage points [CI, 2.4 to 8.1 percentage points]) and high cholesterol (5.7 percentage points [CI, 2.0 to 9.4 percentage points]). Changes in other outcomes were not statistically significant.
Limitation:
Observational study may be susceptible to unmeasured confounders; reliance on self-reported data; limited post-ACA time frame provided information on short-term changes only.
Conclusion:
The ACA Medicaid expansions were associated with higher rates of insurance coverage, improved quality of coverage, increased utilization of some types of health care, and higher rates of diagnosis of chronic health conditions for low-income adults.
Primary funding source:
None.
The Massachusetts 2006 health care reform has been called a model for the Affordable Care Act. The law attained near-universal insurance coverage and increased access to care. Its effect on population health is less clear.
To determine whether the Massachusetts reform was associated with changes in all-cause mortality and mortality from causes amenable to health care.
Comparison of mortality rates before and after reform in Massachusetts versus a control group with similar demographics and economic conditions.
Changes in mortality rates for adults in Massachusetts counties from 2001 to 2005 (prereform) and 2007 to 2010 (postreform) were compared with changes in a propensity score-defined control group of counties in other states.
Adults aged 20 to 64 years in Massachusetts and control group counties.
Annual county-level all-cause mortality in age-, sex-, and race-specific cells (n = 146 825) from the Centers for Disease Control and Prevention's Compressed Mortality File. Secondary outcomes were deaths from causes amenable to health care, insurance coverage, access to care, and self-reported health.
Reform in Massachusetts was associated with a significant decrease in all-cause mortality compared with the control group (-2.9%; P = 0.003, or an absolute decrease of 8.2 deaths per 100 000 adults). Deaths from causes amenable to health care also significantly decreased (-4.5%; P < 0.001). Changes were larger in counties with lower household incomes and higher prereform uninsured rates. Secondary analyses showed significant gains in coverage, access to care, and self-reported health. The number needed to treat was approximately 830 adults gaining health insurance to prevent 1 death per year.
Nonrandomized design subject to unmeasured confounders. Massachusetts results may not generalize to other states.
Health reform in Massachusetts was associated with significant reductions in all-cause mortality and deaths from causes amenable to health care.
None.
Regressions explaining the wage rates of white males, black males, and white females are used to analyze the white-black wage differential among men and the male-female wage differential among whites. A distinction is drawn between reduced form and structural wage equations, and both are estimated. They are shown to have very different implications for analyzing the white-black and male-female wage differentials. When the two sets of estimates are synthesized, they jointly imply that 70 percent of the overall race differential and 100 percent of the overall sex differential are ultimately attributable to discrimination of various sorts.
Purpose: To examine rural status and social factors as predictors of self-rated health in community-dwelling adults in the United States.
Methods: This study uses multinomial logistic and cumulative logistic models to evaluate the associations of interest in the 2006 US Behavioral Risk Factor Surveillance System, a cross-sectional survey of 347,709 noninstitutionalized adults.
Findings: Self-rated health was poorer among rural residents, compared to urban residents (OR = 1.77, 95% CI: 1.54, 1.90). However, underlying risk factors such as obesity, low income, and low educational attainment were found to vary by rural status and account for the observed increased risk (OR = 1.03, 95% CI: 0.94, 1.12). There was little evidence of effect modification by rural status, though the association between obesity and self-rated health was stronger among urban residents (OR = 2.50, 95% CI: 2.38, 2.64) than among rural residents (OR = 2.18, 95% CI: 2.03, 2.34).
Conclusions: Our findings suggest that differences in self-rated health by rural status were attributable to differential distributions of participant characteristics and not due to differential effects of those characteristics.
In this article, we provide prevalence data on major cancer-related risk factors, early detection testing, and vaccination among Hispanics using nationally representative surveys. Compared with non-Hispanic whites, Hispanic adults are less likely to be current smokers (13% vs 22%) or frequent alcohol drinkers, but they are more likely to be obese (32% vs 26%) and to have lower levels of mammography use within the past year (46% vs 51%), colorectal screening as per recommended intervals (47% vs 61%), and Papanicolaou (Pap) test use within the past 3 years (74% vs 79%). Within the Hispanic population, the prevalence of these risk factors and early detection methods substantially vary by country of origin. For example, Cuban men (20.7%) and Puerto Rican men (19%) had the highest levels of current smoking than any other Hispanic subgroups, while Mexican women had the lowest levels of mammogram use (44%) and Pap test use (71%). Hispanic migrants have a higher prevalence of hepatitis B virus and Helicobacter pylori, which cause liver and stomach cancer, respectively. Among Hispanic adolescents, tobacco use (eg, 20.8% use of any tobacco products), alcohol use (42.9%), and obesity (23.2%) remain highly prevalent risk factors. Although 56% of Hispanic adolescents initiate human papillomavirus vaccination, only 56% of them completed the 3-dose series. Differences in risk factors and early detection testing among Hispanic groups should be considered in clinical settings and for cancer control planning. CA Cancer J Clin 2012;. © 2012 American Cancer Society.
We compare the association between barriers to timely primary care and emergency department (ED) utilization among adults with Medicaid versus private insurance.
We analyzed 230,258 adult participants of the 1999 to 2009 National Health Interview Survey. We evaluated the association between 5 specific barriers to timely primary care (unable to get through on telephone, unable to obtain appointment soon enough, long wait in the physician's office, limited clinic hours, lack of transportation) and ED utilization (≥1 ED visit during the past year) for Medicaid and private insurance beneficiaries. Multivariable logistic regression models adjusted for demographics, socioeconomic status, health conditions, outpatient care utilization, and survey year.
Overall, 16.3% of Medicaid and 8.9% of private insurance beneficiaries had greater than or equal to 1 barrier to timely primary care. Compared with individuals with private insurance, Medicaid beneficiaries had higher ED utilization overall (39.6% versus 17.7%), particularly among those with barriers (51.3% versus 24.6% for 1 barrier and 61.2% versus 28.9% for ≥2 barriers). After adjusting for covariates, Medicaid beneficiaries were more likely to have barriers (adjusted odds ratio [OR] 1.41; 95% confidence interval [CI] 1.30 to 1.52) and higher ED utilization (adjusted OR 1.48; 95% CI 1.41 to 1.56). ED utilization was even higher among Medicaid beneficiaries with 1 barrier (adjusted OR 1.66; 95% CI 1.44 to 1.92) or greater than or equal to 2 barriers (adjusted OR 2.01; 95% CI 1.72 to 2.35) compared with that for individuals with private insurance and barriers.
Compared with individuals with private insurance, Medicaid beneficiaries were affected by more barriers to timely primary care and had higher associated ED utilization. Expansion of Medicaid eligibility alone may not be sufficient to improve health care access.
Previous work has shown that there is a higher frequency of hospitalizations among black heart failure patients relative to white heart failure patients. We sought to determine whether racial differences exist in health literacy and access to outpatient medical care, and to identify factors associated with these differences.
We evaluated data from 1464 heart failure patients (644 black and 820 white). Health literacy was assessed using the Rapid Estimate of Adult Literacy in Medicine-Revised (ie, REALM-R), and access to care was assessed through participants' self-report.
Black race was strongly associated with worse health literacy and all measures of poor access to care in unadjusted analyses. After adjusting for demographics, noncardiac comorbidity, social support, insurance status, and socioeconomic status (income and education), the strongest associations were seen between race and: health literacy (OR 2.13, 95% CI 1.46 to 3.10), absence of a medical home (OR 1.76, 1.19-2.61), and cost as a deterrent to seeking health care (OR 1.55, 1.07 to 2.23).
Our findings highlight that important racial differences in health literacy and access to care exist among patients with heart failure. These differences persist even after adjustment for a broad range of potential mediators, including educational attainment, income, and insurance status.
To determine age- and race-specific uptake rates of human papillomavirus (HPV) vaccine among females aged 9-20 years who participated in the Florida Medicaid during the first 2 years after approval by the Food and Drug Administration, and to identify factors associated with HPV vaccine initiation and series completion.
Medicaid administrative data were used to identify claims for HPV vaccination together with individual, provider, and practice characteristics linked to each vaccination.
As of June 2008, 9.4% of females aged 11-18 years had ever received an HPV vaccination, and 1.8% had completed the three-vaccine series. In multivariate analysis, receipt of an HPV vaccination was found to be associated with age and race/ethnicity. In comparison with their white counterparts, black females were approximately half as likely to complete the three-vaccine series after initiation.
The data obtained suggest relatively slow initial uptake and completion of the HPV vaccine series in this population who are at an increased risk for cervical cancer, with racial disparities in vaccine uptake and vaccine series completion.
Researchers have increasingly realized the need to account for within-group dependence in estimating standard errors of regression parameter estimates. The usual solution is to calculate cluster-robust standard errors that permit heteroskedasticity and within-cluster error correlation, but presume that the number of clusters is large. Standard asymptotic tests can over-reject, however, with few (five to thirty) clusters. We investigate inference using cluster bootstrap-t procedures that provide asymptotic refinement. These procedures are evaluated using Monte Carlos, including the example of Bertrand, Duflo, and Mullainathan (2004). Rejection rates of 10% using standard methods can be reduced to the nominal size of 5% using our methods. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
The counterfactual decomposition technique popularized by Blinder (1973, Journal of Human Resources, 436–455) and Oaxaca (1973, International Economic Review, 693–709) is widely used to study mean outcome differences between groups. For example, the technique is often used to analyze wage gaps by sex or race. This article summarizes the technique and addresses several complications, such as the identification of effects of categorical predictors in the detailed decomposition or the estimation of standard errors. A new command called oaxaca is introduced, and examples illustrating its usage are given. Copyright 2008 by StataCorp LP.
Why education is key to socioeconomic differentials in health In: Bird CE, Conrad P, Fremont AM. Handbook of medical sociology.
- Ross C.E.
- Mirowsky J.
Impact of a physician recommendation and parental immunization attitudes on receipt or intention to receive adolescent vaccines.
- Gargano L.M.
- Herbert N.L.
- Painter J.E.
Bootstrap-based improvements for inference with clustered errors
- Cameron