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Adherence to the treatment of type 2 diabetes (T2D), which includes the use of prescribed drugs, following a healthy diet, and adopting a physically active lifestyle, is important to control the disease and improve the patients' quality of life. The present study aimed to explain the determinants of adherence to treatment in patients with T2D based on Pender's Health Promotion Model (HPM). The present research used a qualitative content analysis and was based on Pender's HPM. The data were collected through in-depth semi-structured interviews with 20 T2D patients using a purposive sampling in Bandar Abbas, southern Iran. Maximum variation was considered in terms of gender, age, history of diabetes, type of drug used, education, and occupation. The data collection continued until data saturation. At the same time, the collected data were analyzed using the directed content analysis. MAXQDA 10 was used to manage codes and facilitate data analysis. The data analysis led to the extraction of 10 categories and 19 subcategories as the determinants of adherence to the treatment of T2D patients. The participants shared their experiences about personal characteristics and their ecological environment, specific cognition and emotions, and the behavioral results and experience as the determinants of adherence to T2D treatment. The categories extracted from this study in the form of HPM constructs provided a framework to explain treatment adherence. This information can help policy makers and planners in designing future programs. [ABSTRACT FROM AUTHOR]

Background. Bacterial urinary tract infections are important public health problems in children. This study was conducted to identify the bacterial agents of urinary tract infections and antibiogram patterns in children. Methods. A hospital-based cross-sectional study including 220 children was carried out between November 15, 2021, and March 10, 2022. Simple random sampling was used to enroll participants. The sociodemographic and clinically pertinent information was gathered using a semi-structured questionnaire. Every participant in the study who was ≤15 years old gave clean-catch midstream urine. Urine samples were inoculated onto a cystine lactose electrolyte-deficient agar using a calibrated inoculating loop with a 0.001 ml capacity and then incubated aerobically for 24 hours at 37°C. Subculturing for significant bacteriuria was done on MacConkey and blood agar. Gram staining, biochemical assays, and colony characteristics were used for bacterial identification. The disc diffusion method developed by Kirby and Bauer was used for antimicrobial susceptibility testing. SPSS software version 25 was used for data entry and analysis. To find the risk factors, bivariate and multivariate logistic regression analyses were performed. An association was deemed statistically significant if the p value at the 95 percent confidence interval was less than 0.05. Results. In this study, the majority (50.5%) of the study participants were males. The mean age of the study participants was 6 ± 0.91 years. It was found that 31.8% of children had urinary tract infections. The most prevalent urinary pathogens among the isolates were E. coli (27.1%) and S. aureus (18.6%). Approximately 56% of the participants were infected with multidrug-resistant pathogens. Additionally, compared to children who have never had a urinary tract infection, children with a history of infection had 1.04 (95 percent confidence interval (CI): 0.39, 2.75) times higher risk of infection. Conclusion. This study has shown an alarming increase in the prevalence of pediatric urinary tract infections which warrants further investigation into multidrug-resistant bacterial infection. [ABSTRACT FROM AUTHOR]

COVID-19 lockdown measures appreciably affected patients' lifestyles, negatively impacting on their health. This includes patients with Type 2 Diabetes Mellitus (T2DM). Care of these patients was also negatively impacted due to a priority to treat patients with COVID-19, certainly initially, within hospitals and clinics in Bangladesh, combined with a lack of access to clinics and physicians due to lockdown and other measures. This is a concern in Bangladesh with growing rates of T2DM and subsequent complications. Consequently, we sought to critically analyze the situation among patients with T2DM in Bangladesh during the initial stages of the pandemic to address this information gap and provide future direction. Overall, 731 patients were recruited by a simple random sampling method among patients attending hospitals in Bangladesh, with data collected over 3 timescales: before lockdown, during the pandemic, and after lockdown. Data extracted from patients' notes included current prescribed medicines and key parameters, including blood sugar levels, blood pressure, and comorbidities. In addition, the extent of record keeping. The glycemic status of patients deteriorated during lockdown, and comorbidities as well as complications related to T2DM increased during this period. Overall, a significant proportion of key datasets were not recorded in patients' notes by their physician before and during lockdown. This started to change after lockdown measures eased. In conclusion, lockdown measures critically affected the management of patients with T2DM in Bangladesh, building on previous concerns. Extending internet coverage for telemedicine, introduction of structured guidelines, and appreciably increasing data recording during consultations is of the utmost priority to improve the care of T2DM patients in Bangladesh. [ABSTRACT FROM AUTHOR]

Background: The study aims to analyze the relationship between socioeconomic and hospital utilization among female workers in Indonesia. Methods: The study analyzed secondary data from the 2018 Indonesian Basic Health Survey. The study gathered 161 186 female workers through stratification and multistage random sampling. As control factors, the study looked at age, marital status, education, occupation, and health insurance, in addition to the categories of socioeconomic and hospital utilization. The study used binary logistic regression to evaluate the data in the final step. Results: The result shows female workers with poorer wealth status are 1.142 times more likely than the most impoverished female workers to utilize the hospital (AOR 1.142; 95% CI 1.135-1.148). Female workers with median wealth status are 1.509 times more likely than the poorest female workers to take advantage of the hospital (AOR 1.509; 95% CI 1.501-1.517). Female workers with wealthier wealth status are 1.808 times more likely than the poorest female workers to use the hospital (AOR 1.808; 95% CI 1.799-1.817). The wealthiest female workers are 2.399 times more likely than the poorest female workers to utilize the hospital (2.399; 95% CI 2.387-2.411). Conclusion: The study concluded a relationship between socioeconomic status and hospital utilization among female workers in Indonesia. The better the socioeconomic, the better the hospital utilization. [ABSTRACT FROM AUTHOR]

Background: The study aims to analyze the relationship between socioeconomic and hospital utilization among female workers in Indonesia. Methods: The study analyzed secondary data from the 2018 Indonesian Basic Health Survey. The study gathered 161 186 female workers through stratification and multistage random sampling. As control factors, the study looked at age, marital status, education, occupation, and health insurance, in addition to the categories of socioeconomic and hospital utilization. The study used binary logistic regression to evaluate the data in the final step. Results: The result shows female workers with poorer wealth status are 1.142 times more likely than the most impoverished female workers to utilize the hospital (AOR 1.142; 95% CI 1.135-1.148). Female workers with median wealth status are 1.509 times more likely than the poorest female workers to take advantage of the hospital (AOR 1.509; 95% CI 1.501-1.517). Female workers with wealthier wealth status are 1.808 times more likely than the poorest female workers to use the hospital (AOR 1.808; 95% CI 1.799-1.817). The wealthiest female workers are 2.399 times more likely than the poorest female workers to utilize the hospital (2.399; 95% CI 2.387-2.411). Conclusion: The study concluded a relationship between socioeconomic status and hospital utilization among female workers in Indonesia. The better the socioeconomic, the better the hospital utilization. [ABSTRACT FROM AUTHOR]