Reproductive health issues, including unsafe pregnancy termination, remain a significant concern for women in developing nations. This study focused on investigating and predicting pregnancy termination in Bangladesh by employing a hybrid machine learning approach. The analysis used data from the Bangladesh Demographic and Health Surveys conducted in 2011, 2014, and 2017 to 2018. Ten independent variables, encompassing factors such as age, residence, division, wealth index, working status, BMI, total number of children ever born, recent births, and number of living children, were examined for their potential associations with pregnancy termination. The dataset undergoes preprocessing, addressing missing values and balancing class distributions. To predict pregnancy termination, 8 classical machine learning models and hybrid models were used in this study. The models\' performance was evaluated based on the area under the curve, precision, recall, and F1 score. The results highlighted the effectiveness of the hybrid models, particularly the Voting hybrid model (area under the curve: 91.97; precision: 84.14; recall: 83.87; F1 score: 83.84), in accurately predicting pregnancy termination. Notable predictors include age, division, and wealth index. These findings hold significance for policy interventions aiming to reduce pregnancy termination rates, emphasizing the necessity for tailored approaches that consider regional disparities and socioeconomic factors. Overall, the study demonstrates the efficacy of hybrid machine learning models in comprehending and forecasting pregnancy termination, offering valuable insights for reproductive health initiatives in Bangladesh and similar contexts.

Emergency surgeries are linked with increased morbidity and reduced life expectancy, often associated with low socioeconomic status, limited access to healthcare, and delayed hospital admissions. While the influence of socioeconomic status on elective surgery outcomes is well-established, its impact on emergency surgeries, including ostomy creation and closure, is less clear. This study aimed to explore how the pandemic and socioeconomic status affect emergency ostomy procedures, seeking to determine which has a greater effect. It emphasizes the importance of considering socioeconomic factors in patient care pathways for ostomy procedures. A total of 542 patients who underwent emergency ostomy formation between 2016 and 2022 were retrospectively analyzed and divided into pre-pandemic and pandemic periods. The pre-pandemic and pandemic periods were compared between themselves and against each other. Demographic data (age and sex), comorbidities, socioeconomic status, etiology of the primary disease, type of surgery, stoma type, length of hospital stay, ostomy closure time, and postoperative complications were retrospectively analyzed for all patients. In total, 290 (53%) patients underwent surgery during the pandemic period, whereas 252 (47%) underwent surgery during the pre-pandemic period. Emergency surgery was performed for malignancy in 366 (67%) patients. The number of days patients underwent ostomy closure was significantly higher in the low-income group (P = .038, 95% CI: 293,2, 386-945). The risk of failure of stoma closure was 3-fold (95% CI: 1.8-5.2) in patients with metastasis. The risk of mortality was 12.4-fold (95% CI: 6.5-23.7) when there was failure of stoma closure. When compared to pandemic period, the mortality risk was 6.3-fold (95% CI: 3.9-10.2) in pre-pandemic period. Pandemic patients had a shorter hospital stay than before the pandemic (P = .044). A high socioeconomic status was significantly associated with early hospital admission for ostomy closure, and lower probability of mortality. More metastases and perforations were observed during the pandemic period and mortality was increased during pandemic and in patients without ostomy closure. The socioeconomic status lost its effect in cases of emergency ostomy creation and had no impact on length of hospital stay in either the pre-pandemic or pandemic period.

Introduction The pursuit of health care equity is a fundamental objective for Aotearoa New Zealand, and patient co-payments in primary care challenge this goal. Aim This study aimed to investigate the relationship between primary health care co-payments and the sociodemographic variables in areas where general practices provide health care. Methods Using census data, facilities information from the Ministry of Health, and socioeconomic deprivation indices, linear regression models were used to explore the relationship between weighted average fees charged by general practices and various sociodemographic variables in statistical area 2 regions. Results The study finds that areas with higher proportions of males and economically deprived individuals are associated with lower weighted average fees. Conversely, areas with higher proportions of retirement-aged and European individuals are linked with higher weighted average fees. The inclusion of the Very-Low-Cost-Access variable, indicating a subsidy scheme at the general practice level, made all the sociodemographic variables practically insignificant, suggesting Very-Low-Cost-Access practices are in the right geographical location to target high needs groups. Discussion The findings affirm the complexity of health care inequities in Aotearoa New Zealand, influenced not only by financial factors but also by demographic variables as they play out geographically. While subsidy schemes like the Very-Low-Cost-Access scheme appear to reach groups with greater need, a high level of unmet need due to cost suggests that the fees are still too high. Policymakers need to consider disparities in the on-going health care reforms and make further changes to subsidy schemes to reduce unmet need.

Introduction The inability to afford a consultation with a general practitioner may lead to delays in accessing care pathways. Aim This study aimed to explore the characteristics of people by their unmet need for a general practitioner consultation because of cost, and the characteristics of subsequent inpatient hospitalisations. Methods From the New Zealand Health Surveys (2013/14-2018/19), two groups were formed based on their unmet need for a general practitioner consultation due to cost. These groups were compared by socio-demographic factors and subsequent inpatient hospitalisation characteristics during follow-up. Time to an inpatient hospitalisation was the outcome in a proportional hazards regression model with need status as the key variable. The model was expanded to include confounding variables: sex, age group, ethnicity, the New Zealand Deprivation Index and self-rated health. Results The need group, characterised by having a higher proportion of females, younger adults, Māori, increased socioeconomic deprivation and poorer self-rated health experienced a greater chance of hospitalisation, a similar number of visits during follow-up, shorter stays and a quicker time to hospitalisation compared to the no-need group. Proportional hazards survival models gave a 28% higher hazard rate for the time to an inpatient hospitalisation for the need group compared to the no-need group. The inclusion of all the confounders in the model gave a similar hazard ratio. Discussion Although consultation fees vary across general practices, it is evident that this may not eliminate the cost barriers to accessing care for some groups. Needing multiple consultations may contribute to persistent unmet needs.

Introduction Around 5% of the people in Aotearoa New Zealand (NZ) are not enrolled with a general practice. Aim This study aimed to explore the utilisation of general practice by enrolment status and subsequent use of an emergency department. Methods We compared a cohort of respondents from New Zealand Health Surveys (2013/14-2018/19) on self-reported general practice utilisation and their substitutes, according to their enrolment status (enrolled and not enrolled). They were then followed up to examine their subsequent use of an emergency department. Time to an emergency department presentation was modelled with proportional hazards regression models with enrolment status as the explanatory variable. Confounding variables used were sex, age group, prioritised ethnicity, the New Zealand Deprivation Index and self-rated health. Results Those not enrolled were more likely to be young, male, Asian, more socioeconomically deprived and with better health status than those enrolled. Generally, those not enrolledutilised general practice services less. Those not enrolled who had used an emergency department were more likely to have used it as a substitute for general practice (40% vs 26%). Modelling showed that those not enrolled took longer to access an emergency department. Adjusting for confounding variables did not change that interpretation. Discussion Those not enrolled were younger and healthier and may have a perception that enrolment isn\'t necessary. As a group, they were more likely to be socioeconomically deprived and to use an emergency department, which is free at a public hospital in NZ, as a substitute for primary care which suggests that cost may influence their choices.

Introducción: La fiebre es común en la niñez y existe un alto nivel de preocupación por parte de los cuidadores para manejarla, a esto se le denomina \"fiebrefobia\". El objetivo fue evaluar la presencia de fiebrefobia y factores asociados en la población de estudio. Materiales y método: estudio observacional, transversal, con recolección prospectiva y analítico durante el 2021 a 2022, a través de una encuesta ad hoc auto administrada a los padres y/o cuidadores de pacientes menores de 6 años que consultaron a la emergencia del Hospital de Niños Dr. Roberto del Río en Santiago de Chile. Se analizó la asociación entre las variables sociodemográficas, conocimientos, actitudes y temores frente al niño febril mediante Chi cuadrado, Fisher además de análisis de regresión logística univariante. Resultados: Se realizaron 381 encuestas. El 98% presentó algún grado de fiebrefobia. El 40,6% definió fiebre bajo los 38°C. El 56 % de los cuidadores utilizaba medidas físicas. La principal secuela temida por los tutores fueron las convulsiones (82 %) y un 42,7% refirió que podía ser letal. La mayoría (92%) utilizó fuentes de información no confiables y dos tercios (66%) nunca recibieron información sobre el tema por parte del personal de salud.  La regresión logística evidenció que el hecho de ser progenitor, el nivel de escolaridad básica o media y un umbral térmico menor a 38°C fueron las variables mayormente asociadas a la fiebrefobia. Conclusiones. La fiebrefobia es un fenómeno vigente en nuestra población y la entrega de información adecuada y oportuna pudiese prevenirlo.

Urban inequalities are exacerbated due to rapid urbanisation. This is also evident within slums in low- and middle-income countries, where high levels of heterogeneity amongst the slum population lead to differential experiences in Water, Sanitation, and Hygiene (WASH) and housing access. This scoping review provides evidence of the interconnection of WASH and housing and presents barriers to access and the consequences thereof for slum dwellers. It does so while considering the social stratification amongst urban slum dwellers and their lived experiences. A systematic search of journal articles was conducted in November 2022 in PubMed, Scopus, and Web of Science. A total of 33 papers were identified which were full text reviewed and data extracted. Infrastructure, social and cultural, socio-economic, governance and policy and environmental barriers emerged as general themes. Barriers to WASH and housing were more frequently described concerning women and girls due to gender norms within WASH and the home. Barriers to WASH lead to compromised health, socio-economic burdens, and adverse social impacts, thus causing residents of slums to navigate their WASH mobility spatially and over time. Insights from this review underscore the need for an intersectional approach to understanding access inequalities to WASH and housing.

OBJECTIVE: Obesity is considered a major public health concern. The aim of the study is to compare anthropometric indicators related to overweight and obesity by place of residence in a local community with a high social deprivation rate, based on the example of residents of the Janów District in eastern Poland, taking into account gender strata differences.
METHODS: The cross-sectional epidemiological study was carried out in a study group of 3,752 individuals. The following anthropometric measurements and laboratory tests were performed to identify the anthropometric indicators related to overweight and obesity: body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) and body adiposity index (BAI).
RESULTS: Mean age of the study group was 51.92 ± 8.15. Overweight and obesity-related indicators were more prevalent in rural than urban areas among women, and were as follows: BMI (28.77 ± 5.37 vs. 27.62 ± 5.09; p < 0.001), WHR (0.87 ± 0.07 vs. 0.85 ± 0.07; p < 0.001), WHtR (0.57 ± 0.09 vs. 0.57 ± 0.08; p < 0.001) and BAI (33.58 ± 5.48 vs. 32.82 ± 5.4; p = 0.002). Men\'s mean WHR was higher in rural than in urban areas (0.96 ± 0.07 vs. 0.95 ± 0.62; p < 0.001).
CONCLUSIONS: The study shows that women living in rural areas had a mean BMI that was 1.1 higher than that of women living in urban areas, as well as 0.02 higher WHR and WHtR and 0.8 higher BAI. In contrast, men living in rural areas had a 0.001 higher WHtR and WHR than men living in urban areas. In the multivariable models, after having considered potential confounding variables, women living in rural areas had approximately a 60% higher probability of being obese, while men had approximately a 30% higher probability of being obese.

OBJECTIVE: To report the cost of hospitalization and the associated risk factors for rheumatic diseases in middle-aged and elderly patients in China.
METHODS: The study participants included inpatients from hospitals of various levels in the Jiangsu Province Health Account database in 2016. Participants were selected by using a multistage sampling method. Patients <45 years of age were excluded, and patients hospitalized for rheumatic diseases were identified according to the 10th edition of the International Classification of Diseases. Generalized linear models were used to analyze the sociodemographic characteristics related to the hospitalization costs of patients with rheumatic diseases.
RESULTS: The study included 3696 patients. The average cost of hospitalization for patients with rheumatic diseases was USD 4038.63. Female sex, a long length of stay, age between 65 and 74 years, free medical care, not being covered by the Urban-Rural Residents Basic Medical Insurance, and a high hospital level were associated with high hospitalization costs.
CONCLUSIONS: This study examined hospitalization costs and relevant influencing factors in middle-aged and elderly patients with rheumatic disease in China. Our findings are useful for further research on costs of disease and the economic evaluation of strategies to prevent rheumatic disease.

UNASSIGNED: Achieving universal health coverage (UHC) is a crucial target shared by the Sustainable Development Goals (SDGs). As UHC levels are influenced by factors such as the regional economy and resource allocation, subnational evidence in China is urgently needed. This study aimed to monitor provincial progress from 2016 to 2021, thereby informing the development of region-specific strategies.
UNASSIGNED: Based on the UHC monitoring framework proposed by the World Health Organization, a UHC index was constructed comprising the service coverage dimension (16 indicators) and financial protection dimension (four indicators). In this observational study, routinely collected health data from 25 provinces (autonomous regions and municipalities) in mainland China were obtained from statistical yearbooks, relevant literature, and nationally representative surveys. The indices were calculated using geometric means. Socioeconomic inequalities among provinces were quantified using the slope index of inequality (SII) and relative index of inequality (RII).
UNASSIGNED: From 2016 to 2021, China made laudable progress towards achieving UHC, with the index rising from 56.94 in 2016 to 63.03 in 2021. Most provinces demonstrated better performance in service coverage. Western provinces generally presented faster rates of progress, which were attributed to more substantial increases in financial protection. Despite significant disparities, with the UHC index ranging from 77.94 in Shanghai to 54.61 in Fujian in 2021, the overall equity of UHC has improved across the 25 provinces. SII decreased from 17.78 (95% confidence interval (CI) = 11.64, 23.93) to 12.25 (95% CI = 5.86, 18.63) and RII from 1.38 (95% CI = 1.29, 1.46) to 1.22 (95% CI = 1.16, 1.29). However, the non-communicable disease (NCD) domain experienced a drop in both index score and equity, underscoring the need for prioritised attention.
UNASSIGNED: In the context of SDGs and the \'Healthy China 2030\' initiative, China has made commendable progress towards UHC, and inter-provincial equity has improved. However, substantial differences persisted. The equitable realisation of UHC necessitates prioritising the enhancement of service capacity and financial protection in less developed regions, particularly by addressing shortages in the general practitioner workforce and mitigating catastrophic payments. Developed regions should focus on preventing NCDs through effective interventions targeting key risk factors. This study provides insights for other countries to adopt comprehensive monitoring frameworks, identify subnational disparities, and introduce targeted policy initiatives.