OBJECTIVE: Racial and socioeconomic disparities in spine surgery for degenerative lumbar spondylolisthesis persist in the United States, potentially contributing to unequal health-related quality of life (HRQoL) outcomes. This is important as lumbar spondylolisthesis is one of the most common causes of surgical low back pain, and low back pain is the largest disabler of individuals worldwide. Our objective was to assess the relationship between race, socioeconomic factors, treatment utilization, and outcomes in patients with lumbar spondylolisthesis.
METHODS: This cohort study analyzed prospectively collected data from 9941 patients diagnosed with lumbar spondylolisthesis between 2015 and 2020 at 5 academic hospitals. Exposures were race, socioeconomic status, health coverage, and HRQoL measures. Main outcomes and measures included treatment utilization rates between racial groups and the association between race and treatment outcomes using logistic regression, adjusting for patient characteristics, socioeconomic status, health coverage, and HRQoL measures.
RESULTS: Of the 9941 patients included (mean [SD] age, 67.37 [12.40] years; 63% female; 1101 [11.1%] Black, Indigenous, and People of Color [BIPOC]), BIPOC patients were significantly less likely to use surgery than White patients (odds ratio [OR] = 0.68; 95% CI, 0.62-0.75). Furthermore, BIPOC race was associated with significantly lower odds of reaching the minimum clinically important difference for physical function (OR = 0.74; 95% CI, 0.60; 0.91) and pain interference (OR = 0.77; 95% CI, 0.62-0.97). Medicaid beneficiaries were significantly less likely (OR = 0.65; 95% CI, 0.46-0.92) to reach a clinically important improvement in HRQoL when accounting for race.
CONCLUSIONS: This study found that BIPOC patients were less likely to use spine surgery for degenerative lumbar spondylolisthesis despite reporting higher pain interference, suggesting an association between race and surgical utilization. These disparities may contribute to unequal HRQoL outcomes for patients with lumbar spondylolisthesis and warrant further investigation to address and reduce treatment disparities.

UNASSIGNED: In sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural-urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural-urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019).
UNASSIGNED: This study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural-urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance.
UNASSIGNED: The study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural-urban disparity of CBHI enrollment due to the effect of household characteristics.
UNASSIGNED: There were significant urban-rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.

UNASSIGNED: This study aimed to explore the relationship between multidimensional factors, such as environment, health status, behavior, social support, and the well-being of middle-aged and older adults.
UNASSIGNED: This study utilized data from 2 waves of the nationally representative Taiwan Longitudinal Study on Aging Survey Report (TLSA) conducted in 2015 and 2019. The TLSA assesses socioeconomic status, physical and health status, the 5-item World Health Organization Well-Being Index (WHO-5 index), and social support. Data regarding the degree of digital development were obtained from the 2020 Township Digital Development Report. We applied a generalized estimating equation (GEE) to analyze the influencing factors.
UNASSIGNED: This study included 4796 participants. Residing in areas with a higher degree of digital development, having a higher socioeconomic status, and experiencing better physical and mental health were significantly associated with well-being. Furthermore, emotional and attentive support mediated the association between physical and mental status and well-being.
UNASSIGNED: People\'s awareness of searching for and receiving social support and medical resources is important for enhancing their well-being. It is also crucial to pay attention to the living environment and maintain one\'s health status to promote well-being.

BACKGROUND: Organized breast cancer screening (BCS) programs are effective measures among women aged 50-69 for preventing the sixth cause of death in Germany. Although the implementation of the national screening program started in 2005, participation rates have not yet reached EU standards. It is unclear which and how sociodemographic factors are related to BCS attendance. This scoping review aims to identify sociodemographic inequalities in BCS attendance among 50-69-year-old women following the implementation of the Organized Screening Program in Germany.
METHODS: Following PRISMA guidelines, we searched the Web of Science, Scopus, MEDLINE, PsycINFO, and CINAHL following the PCC (Population, Concept and Context) criteria. We included primary studies with a quantitative study design and reviews examining BCS attendance among women aged 50-69 with data from 2005 onwards in Germany. Harvest plots depicting effect size direction for the different identified sociodemographic inequalities and last two years or less BCS attendance and lifetime BCS attendance were developed.
RESULTS: We screened 476 titles and abstracts and 33 full texts. In total, 27 records were analysed, 14 were national reports, and 13 peer-reviewed articles. Eight sociodemographic variables were identified and summarised in harvest plots: age, education, income, migration status, type of district, employment status, partnership cohabitation and health insurance. Older women with lower incomes and migration backgrounds who live in rural areas and lack private insurance respond more favourably to BCS invitations. However, from a lifetime perspective, these associations only hold for migration background, are reversed for income and urban residency, and are complemented by partner cohabitation. Finally, women living in the former East German states of Saxony, Mecklenburg-Western Pomerania, Saxony-Anhalt, and Thuringia, as well as in the former West German state of Lower Saxony, showed higher BCS attendance rates in the last two years.
CONCLUSIONS: High-quality research is needed to identify women at higher risk of not attending BCS in Germany to address the existing research\'s high heterogeneity, particularly since the overall attendance rate still falls below European standards.
BACKGROUND: https://osf.io/x79tq/ .

BACKGROUND: When medically indicated, caesarean section (CS) can be a life-saving intervention for mothers and their newborns. This study assesses the prevalence of CS and its associated factors, focussing on inequalities between rural and urban areas in Nigeria.
METHODS: We disaggregated the Nigeria Demographic and Health Survey 2018 and performed analyses separately for Nigeria\'s overall, rural, and urban residences. We summarised data using frequency tabulations and identified factors associated with CS through multivariable logistic regression analysis.
RESULTS: CS prevalence was 2.7% in Nigeria (overall), 5.2% in urban and 1.2% in rural areas. The North-West region had the lowest prevalence of 0.7%, 1.5% and 0.4% for the overall, urban and rural areas, respectively. Mothers with higher education demonstrated a greater CS prevalence of 14.0% overall, 15.3% in urban and 9.7% in rural residences. Frequent internet use increased CS prevalence nationally (14.3%) and in urban (15.1%) and rural (10.1%) residences. The southern regions showed higher CS prevalence, with the South-West leading overall (7.0%) and in rural areas (3.3%), and the South-South highest in urban areas (8.5%). Across all residences, rich wealth index, maternal age ≥ 35, lower birth order, and ≥ eight antenatal (ANC) contacts increased the odds of a CS. In rural Nigeria, husbands\' education, spouses\' joint healthcare decisions, birth size, and unplanned pregnancy increased CS odds. In urban Nigeria, multiple births, Christianity, frequent internet use, and ease of getting permission to visit healthcare facilities were associated with higher likelihood of CS.
CONCLUSIONS: CS utilisation remains low in Nigeria and varies across rural-urban, regional, and socioeconomic divides. Targeted interventions are imperative for uneducated and socioeconomically disadvantaged mothers across all regions, as well as for mothers in urban areas who adhere to Islam, traditional, or \'other\' religions. Comprehensive intervention measures should prioritise educational opportunities and resources, especially for rural areas, awareness campaigns on the benefits of medically indicated CS, and engagement with community and religious leaders to promote acceptance using culturally and religiously sensitive approaches. Other practical strategies include promoting optimal ANC contacts, expanding internet access and digital literacy, especially for rural women (e.g., through community Wi-Fi programs), improving healthcare infrastructure and accessibility in regions with low CS prevalence, particularly in the North-West, and implementing socioeconomic empowerment programs, especially for women in rural areas.

BACKGROUND: Overall, research on social determinants of access and quality of outpatient care in Germany is scarce. Therefore, social disparities (according to sex, age, income, migration background, and health insurance) in perceived access and quality of consultation in outpatient care (primary care physicians and specialists) in Germany were explored in this study.
METHODS: Analyses made use of a cross-sectional online survey. An adult population sample was randomly drawn from a panel which was recruited offline (N = 2,201). Perceived access was assessed by waiting time for an appointment (in days) and travel time to the practice (in minutes), while quality of consultation was measured by consultation time (in minutes) and quality of communication (scale of four items, Cronbach\'s Alpha 0.89).
RESULTS: In terms of primary care, perceived access and quality of consultation was worse among women compared to men. Estimated consultation time was shorter among people with statutory health insurance compared to privately insured respondents. Regarding specialist care, people aged 60 years and older reported shorter waiting times and better quality of communication. Lower income groups reported lower quality of communication, while perceived access and quality of consultation was worse among respondents with a statutory health insurance. Variances explained by the social characteristics ranged between 1% and 4% for perceived access and between 3% and 7% for quality of consultation.
CONCLUSIONS: We found social disparities in perceived access and quality of consultation in outpatient care in Germany. Such disparities in access may indicate structural discrimination, while disparities in quality of consultation may point to interpersonal discrimination in health care.

BACKGROUND: Subjective wellbeing (SWB) and health are important facets of any person\'s life, and they tend to influence each other. This importance is reflected in the vastness of literature aiming to explore this association. However, most of this literature is based on sampling national population which may present different population characteristics to those of a province. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. We intend to add value to subjective wellbeing and health literature by reviewing the relationship between SWB and health in the Eastern Cape stratified by age, gender, rural and urban and different income classifications.
METHODS: Different population characteristics tend to associate to subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. Utilising the South African National Income Dynamics Survey from 2008 to 2017, this study examined the relationship between subjective wellbeing and health using a random effects model stratified according to aforementioned population characteristics.
RESULTS: A better perceived health status is associated with higher subjective wellbeing. A better subjective wellbeing is also associated with a higher health status. Determinants of subjective wellbeing and health associate with these variables differently besides income and employment which led to higher subjective wellbeing and health. Health associates to subjective wellbeing different across populations characteristics.
CONCLUSIONS: Subjective wellbeing and health are interdependent as reflected in the World Health Organisation (WHO) and United Nation (UN) statements. Higher income and level of education and being employed is associated with both higher SWB and health. Therefore, improving these economic outcomes maybe associated with an improvement in well-being and health as desired by WHO and UN. Provinces differ, and different population characteristics tend to associate with subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Health improvement policies must consider subjective wellbeing. Well-being improvement policies need to be cognisant of the differences in provincial and population characteristics.

Hypertension is a very common comorbidity in type 2 diabetes patients, which leads to important health and treatment challenges. The present study was conducted with the aim of determining the prevalence of hypertension and its risk factors in type 2 diabetes patients. This study was conducted using cross-sectional data from 1245 participants aged between 35 and 70 years and diagnosed with type 2 diabetes at baseline in the Fasa cohort study. The prevalence hypertension was determined and multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between various risk factors and hypertension prevalence. The average age of the participants was 53.5 ± 8.7 years and 71.7% (n = 893) were female and 28.3% (n = 352) were male. The prevalence of hypertension in people with type 2 diabetes was 45.5% (n = 566). Higher age (AOR, 95% CI: 8.1, 4.6-14.3), female gender (OR, 95% CI: 1.8, 1.2-2.5), Fars (AOR, 95% CI: 1.6, 1.1-2.4) and Turk (AOR, 95% CI: 1.6, 1.1-2.5) vs. other ethnicity, and overweight (AOR, 95% CI: 1.8, 1.38-2.38) and obesity (AOR, 95% CI: 2.7, 2.0-3.8) vs. BMI < 25 was associated with a higher prevalence of hypertension, while higher physical activity (AOR, 95% CI: 0.57, 0.42-0.78) was associated with lower prevalence of hypertension in the multivariable model. The prevalence of hypertension in persons with type 2 diabetes was high and increased with greater age, in some ethnic groups, and with higher BMI and low physical activity. Further prospective studies are needed to investigate these associations in this population.

BACKGROUND: Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic.
OBJECTIVE: This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points.
METHODS: Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age.
RESULTS: For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking.
CONCLUSIONS: Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

BACKGROUND: The impact of metabolic syndrome (MetS) on healthcare costs remains unclear in the literature.
OBJECTIVE: To determine the impact of MetS on primary healthcare costs of adults, as well as to identify the impact of physical activity and other covariates on this phenomenon.
METHODS: This cross-sectional study was conducted in the city of Presidente Prudente, State of São Paulo/Brazil, in 2016.
METHODS: The sample comprised 159 older adults (> 50 years) of both sexes (110 women) who were identified from their medical records in the Brazilian National Health Service. Healthcare costs (US$) were assessed through medical records and divided into medical consultations, medications, laboratory tests, and total costs. MetS was assessed using medical records.
RESULTS: The Brazilian National Health Service spent more on consultations (US$ 22.75 versus US$ 19.39; + 17.3%) and medication (US$ 19.65 versus US$ 8.32; + 136.1%) among adults with MetS than among those without MetS, but the costs for laboratory tests were similar (P = 0.343). Total costs were 53.9% higher in adults with MetS than in those without the diagnosis of the disease (P = 0.001). Regarding total costs, there was an increase of US$ 38.97 when five components of MetS were present (P = 0.015), representing an increase of approximately 700%, even after adjusting for sex, age, and physical activity.
CONCLUSIONS: In conclusion, the presence of the MetS is responsible for increasing primary care costs among older adults, especially in those related to medicines.