UNASSIGNED: Monitoring the pharmacotherapy adherence in society is crucial for identifying occurance and causes of potential inadequate use of drugs and inform providers about the need for better customer counceling. It is necessary component of the strategic planning of the quality of healthcare services. This population- based study aimed to assess the medication intake adherence in the Republic of Serbia and the individual factors and health system variables influencing its pattern.
UNASSIGNED: We applied a cross-sectional approach to study medication intake adherence using a secondary analysis of the latest 2019 Serbian National Health Survey data. The statistical modeling of the pharmacotherapy adherence incorporated sociodemographic data, self-reported disease, and lifestyle behavior.
UNASSIGNED: In 2019, in the representative sample of 12,066 adults in Serbia, requiring prescribed medicine, 49.8% did comply with the prescribed drugs, and 50.2% do not. Participants who adhered to prescribed medication were significantly (p < 0.001) older (62.4 ± 14 years), predominantly female (55.3%), had secondary education (48.5%), resided in southern and eastern parts of Serbia (55.5%), and belonged to the lowest income quintile (21.4%). The participants most often take prescribed drugs for hypertension (64.1%) and lower back pain (30.5%), while around 20% take medication for coronary disease, diabetes mellitus, and high blood cholesterol. About 85-92% of participants with financial or general difficulties using prescribed medication.
UNASSIGNED: There is poor medication intake adherence to prescribed medication in Serbia. Gender, age, and region determine the adherence. Also, health-related and healthcare system-related factors impact the use of prescribed medication. Study findings can inform planning the counceling interventions in the target groups where improving medication adherence is necessary, as well as to enhance training of healthcare providers about pharmacotherapy adherence.

UNASSIGNED: This study examines the factors affecting unmet healthcare experiences by integrating individual-and community-level extinction indices.
UNASSIGNED: Using spatial autocorrelation and multilevel modeling, the study utilizes data from the Community Health Survey and Statistics Korea for 218 local government regions from 2018 to 2019.
UNASSIGNED: The analysis identifies significant clustering, particularly in non-metropolitan regions with a higher local extinction index. At the individual level, some factors affect unmet medical needs, and unmet healthcare needs increase as the local extinction index at the community level increases.
UNASSIGNED: The findings underscore the need for strategic efforts to enhance regional healthcare accessibility, particularly for vulnerable populations and local infrastructure development.

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.

BACKGROUND: Population surveys are crucial for public policy planning and provide valuable representative data. In the health sector studies to identify and assess the prevalence of Arterial Hypertension (AH), a chronic non-communicable disease (NCD), along with its associated risk factors have been conducted.
OBJECTIVE: This study aims to assess the effectiveness of a population health survey in estimating the prevalence of arterial hypertension (AH) in the Sorocaba municipality between August 2021 and June 2023.
METHODS: The analyzed performance indicator is the precision (design effect - deff) of AH prevalence in adults (≥ 18 years) and their exposure to primary risk factors. The total sample included 1,080 individuals from the urban area, deemed sufficient to estimate a deff of 1.5. This cluster-based study utilized census sectors as clusters, with data collected through household interviews, standardized questionnaires, and measurements of blood pressure and biometric parameters. The deff calculation formula used was weighted variance / raw variance. The Research Ethics Committee approved this study, with registration CAAE 30538520-1-0000-5373.
RESULTS: The deff values ranged from 0.44 for chronic obstructive pulmonary disease to 1.63 for asthma, with a deff of 1.00 for AH prevalence.
CONCLUSIONS: The study demonstrated good precision in its results, with high receptivity and cooperation from participants. The cost-effectiveness of the research deemed appropriate. The technique of selecting households within clusters (census sectors) based on detailed mapping and demographic data from the Instituto Brasileiro de Geografia e Estatística (IBGE) proved to be practical and efficient, suitable for replication in other municipalities and for studying other NCDs.

BACKGROUND: Cardiometabolic diseases are a major global health concern. This study aims to identify areas for targeted interventions and investigate the impact of socioeconomic status and lifestyle as a potential mediator in the context of the US.
METHODS: Our study analyzed data from the Health Information National Trends Survey 5, a nationwide survey by the National Cancer Institute. Using standardized scales and questions, we examined cardiometabolic disease outcomes, lifestyle factors, and socioeconomic status of non-institutionalized civilians aged 18 + in the US. We analyzed the data using structural equation modelling.
RESULTS: Our findings show that socioeconomic status and lifestyle significantly predict cardiometabolic disease outcomes. However, our analysis did not support lifestyle as the primary mediating factor in the association between socioeconomic status and cardiometabolic diseases, suggesting that other factors may significantly influence this relationship.
CONCLUSIONS: Cardiometabolic diseases require lifestyle and structural interventions addressing socioeconomic factors. Policymakers must consider multifaceted factors to prevent, detect, and manage these diseases effectively and equitably.

A secondary data analysis of the 2022 Philippine National Demographic and Health Survey (PNDHS) was conducted to explore the underlying structure of knowledge regarding communicable and noncommunicable diseases using multilevel confirmatory factor analysis (CFA). The PNDHS data consist of two levels: level-1 represents within-household data (household questionnaire), and level-2 represents between-household data (primary sampling unit (PSU)). Therefore, a two-level CFA and two-level variance CFA were performed. Furthermore, a multigroup analysis assessed the structural differences between males/females and urban/rural groups. In the PNDHS survey, 30,372 household interviews were completed. Knowledge levels for cancer, heart disease, diabetes, dengue fever, TB, and COVID-19 were 96.7%, 94.9%, 97.8%, 98.4%, 96.7%, and 92.8%, respectively. The two-level CFA indicated that the coefficient loadings of each item for both levels were statistically significant (Z-test, P < 0.001). Regarding two-level variance CFA, the variance at level-1 was higher than that at level-2 (13 and 6.7, respectively). The multigroup analysis revealed that the model was non-invariant (not equal) across gender and residence (likelihood ratio test; P < 0.001, P < 0.001, respectively). In conclusion, level-1 has greater effect than does level-2 because the variance in level-1 is greater than that in level-2, the knowledge of COVID-19 has the lowest loading compared to other items, and rural/urban areas and females/males exhibit different levels of health knowledge.

Background: Malnutrition has important short- and long-term consequences in children under age five. Malnutrition encompasses undernutrition, overnutrition, and the coexistence of both of them, known as the double burden of malnutrition (DBM). Objective: The aim of this study was to estimate the prevalence of undernutrition, overnutrition, and the DBM among these children at the national level and by living area in Panama. Methods: Data from the National Health Survey of Panama (ENSPA, Spanish acronym), a population-based, cross-sectional study carried out in 2019 were used. Stunting, wasting, overweight, and obesity were defined according to the cut-off points of the World Health Organization Growth Standards. Undernutrition was defined as being stunted only, wasted only or both; overnutrition was defined as being overweight only or obese only; and the DBM was defined as the co-occurence of stunting and overweight/obesity in the same child. Prevalence and general characteristics at the national level and by living area were weighted. Findings: The prevalence of undernutrition was 15.3% (95% confidence interval (CI) 13.4-17.3) at the national level and 36.6% (CI: 30.1-43.5) in indigenous areas. The prevalence of overnutrition was 10.2% (8.2-12.6) at the national level and 11.9% (CI: 8.5-16.3), 8.4% (CI: 6.5-10.7) and 8.7% (CI: 5.2-14.3) in urban, rural and indigenous areas, respectively. The DBM prevalence was 1.4% (CI: 1.0-2.1) at the national level and 2.7% (CI: 1.4-5.1) in indigenous areas. Conclusions: Undernutrition is still the most prevalent malnutrition condition in our country. Panama has the highest prevalence of overnutrition in Central America. The highest prevalence of undernutrition and DBM was found among children living in indigenous areas.

BACKGROUND: Infant survival is an important factor in any community\'s health. Low birth weight affects babies not only during their infancy but also has long-term consequences for their health as adults. Unfortunately, Sub-Saharan Africa as a region is still dealing with the burden of Low birth weight (LBW), and Tanzania as a part of this region is no exception. So this study aimed to determine the Magnitude of Low Birth Weight and Its Associated Maternal Factors among Women of Reproductive Age who gave birth to live babies.
METHODS: The study used analytical cross-sectional study design to analyze secondary data from the Tanzania Demographic and Health Survey and Malaria Indicators Survey 2015-2016. A total of 4,644 women of reproductive age who gave birth to live babies within five years preceding the survey were included in the study. Both bivariate and multivariable logistics regression analyses were used to assess maternal factors associated with low birth weight.
RESULTS: The prevalence of LBW was 262(6.2%). After adjusting for confounders, the maternal factors associated with LBW were Age group of a pregnant woman [Less than 20 years (aOR = 1.907 CI = 1.134-3.205) in reference to those aged more than 34years], Number of ANC visits made [Inadequate visits (aOR = 1.612 CI = 1.266-2.05)], parity [para 2-4 (aOR = 0.609 CI = 0.453-0.818), para 5+ (aOR = 0.612 CI = 0.397-0.944)] and area of residence [Unguja (aOR = 1.981 CI = 1.367-2.87).
CONCLUSIONS: The prevalence of low birth weight in Tanzania remains high. Women\'s age, parity, number of Antenatal care visits (ANC), and area of residence were found to be maternal factors associated with LBW. Thus, early prenatal diagnosis of risk factors for low birth weight in high-risk pregnant women may help to reduce the LBW burden in Tanzania and its detrimental effects.

OBJECTIVE: Violence against women is a widespread public health concern with severe effects to women\'s sexual and reproductive health, including higher risks for miscarriage or stillbirth, unintended pregnancy and induced abortion. This study examined the association between women exposure to physical violence, psychological violence and sexual and reproductive health outcomes (contraceptive use, miscarriage or stillbirth and abortion) in Germany.
METHODS: This study used a cross-sectional research design to analyze data on violence against women and sexual and reproductive health (SRH) outcomes collected through the German Health Interview and Examination Survey for Adults, Wave 1, between 2008 and 2011 (n = 3149 women, aged 18-64 years). Multivariable logistic regression models were used to assess the association between experiences of violence among women and the presence of sexual and reproductive health outcomes, considering the influence of socio-demographic and health-related factors (age, marital status, socioeconomic status, social support, number of children, alcohol consumption, health status, chronic conditions).
RESULTS: Three associations remained significant (p<0.05) in fully-adjusted models: (i) exposure to physical violence by a parent or caregiver and birth control pill utilization (aOR, adjusted Odds Ratio, 95% CI: 1.36, 1.02-1.81) (ii) exposure to physical violence since the age of 16 and miscarriage or stillbirth (aOR, 95%CI: 1.89, 1.17-3.04); and (iii) exposure to psychological violence by a parent or caregiver and abortion (aOR, 95%CI: 1.87, 1.30-2.70).
CONCLUSIONS: The results suggest that adult German women who experienced physical or psychological violence since the age of 16, including violence perpetrated by a parent or caregiver, were more likely to report miscarriage or stillbirth and abortion. Direct assessment of violence experiences against women should be conducted by healthcare professionals in clinical encounters, particularly by obstetrics and gynaecological specialists, for the prevention of women´s adverse sexual and reproductive health outcomes. Furthermore, violence should be treated as a major public health concern and addressed through a multisectoral approach, involving the healthcare and educational sectors, researchers and relevant policymakers.

BACKGROUND: Smoking continues to be the single largest cause of preventable disease and death and a major contributor to health inequalities. Dental professionals are well placed to offer behavioural support in combination with pharmacotherapy to increase smoking cessation rates across the population. We aimed to assess the trends and socioeconomic inequalities in the dental attendance of adult smokers in Scotland from 2009 to 2019 and examine the potential population reach of dental settings for smoking cessation interventions.
METHODS: A secondary analysis was conducted of combined Scottish Health Surveys (SHeS) from 2009/11, 2013/15 and 2017/19. \'Recent\' dental attendance (within the past two years) was the focus and descriptive analysis examined attendance of self-reported smokers compared to non-smokers and stratified by the area-based Scottish Index of Multiple Deprivation (SIMD) and individual socioeconomic measures (income, education, and occupation). Generalised linear models were used to model recent attendance in non-smokers relative to smokers adjusted by the socioeconomic measures, for each of the survey cohorts separately. Absolute differences and risk ratios were calculated with 95% Confidence Intervals (CI).
RESULTS: Recent dental attendance was generally high and increased in both smokers (70-76%) and non-smokers (84-87%) from 2009/11 to 2017/19 and increased across all SIMD groups. After adjustment for sociodemographic variables, the adjusted Risk Difference (aRD) for recent attendance between non-smokers and smokers was 8.9% (95% CI 4.6%, 13.2%) by 2017/19. Within smokers, recent attendance was 7-9% lower in those living in the most deprived areas compared to those living in the least deprived areas over the three surveys.
CONCLUSIONS: SHeS data from 2009 to 2019 demonstrated that a high and increasing proportion of smokers in the population attend the dentist, albeit slightly less frequently than non-smokers. There were large inequalities in the dental attendance of smokers, to a lesser extent in non-smokers, and these persisted over time. Dental settings provide a good potential opportunity to deliver population-level smoking cessation interventions, but smokers in the most deprived groups and older age groups may be harder to reach. Consideration should be given to ensure that these groups are given appropriate proportionate support to take up preventive interventions.