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Aids tranny information amongst Rohingya refugee girls in Bangladesh: a cross-sectional review.
we applied a thematic analysis approach to analyze qualitative data. Results Timeliness of report, registration completeness, report completeness, and data accuracy level of the selected facilities were 70, 78.2, 86, and 48%, respectively. All results are below the expected national standards. Commonly reported reasons for the poor practice of data quality were; poor support of management, lack of accountability for the false report, poor supportive supervision, and lack of separate and responsible unit for health information management. Conclusion The Health information management system is poorly coordinated at the primary health units. Accountability should be assured through continuous in-service training, supportive supervision, and concrete feedbacks. Electronic management of health information should be available in primary health care units.Background Immune checkpoint inhibitors (ICIs) have been increasingly applied in the treatment of several kinds of malignancies. Some clinical demographic characteristics were reported to be associated with the ICIs efficacy. The purpose of our current meta-analysis was to clearly evaluated the relationship between BMI and ICIs efficacy for cancer patients receiving immunotherapy. Methods A systematic search of Pubmed, EMBASE and conference proceedings was performed to investigate the influence of BMI on ICIs efficacy. Pooled analysis for overall survival (OS), progression-free survival (PFS) and immune-related adverse effects (IRAEs) were analyzed in current study. Results A total of 13 eligible studies comprising 5279 cancer patients treated with ICIs were included in the analysis. The pooled analysis showed there is positive association between high BMI and improved OS and PFS among patients with ICIs treatment (OS HR = 0.62, 95% CI 0.55-0.71, P less then 0.0001; I2 = 26.3%, P = 0.202); PFS HR = 0.71, 95% CI 0.61-0.83, P less then 0.0001; I2 = 0%, P = 0.591). There is no significant difference between the incidence of all grade IRAEs between obese, overweight patients and normal patients (Overweight vs Normal pooled RR = 1.28, 95% CI 0.76- 2.18, P = 0.356; Obese vs Normal pooled RR = 1.36, 95% CI 0.85- 2.17, P = 0.207). Conclusion An improved OS and PFS were observed in patients with high BMI after receiving ICIs treatment compared with patients of low BMI. No significant association between BMI and incidence of IRAEs was found in cancer patients after ICIs treatment.Background Investigating similarities and differences among healthcare providers, on the basis of patient healthcare experience, is of interest for policy making. Availability of high quality, routine health databases allows a more detailed analysis of performance across multiple outcomes, but requires appropriate statistical methodology. Methods Motivated by analysis of a clinical administrative database of 42,871 Heart Failure patients, we develop a semi-Markov, illness-death, multi-state model of repeated admissions to hospital, subsequent discharge and death. Ki16198 solubility dmso Transition times between these health states each have a flexible baseline hazard, with proportional hazards for patient characteristics (case-mix adjustment) and a discrete distribution for frailty terms representing clusters of providers. Models were estimated using an Expectation-Maximization algorithm and the number of clusters was based on the Bayesian Information Criterion. Results We are able to identify clusters of providers for each transition, via the inclusion of a nonparametric discrete frailty. Specifically, we detect 5 latent populations (clusters of providers) for the discharge transition, 3 for the in-hospital to death transition and 4 for the readmission transition. Out of hospital death rates are similar across all providers in this dataset. Adjusting for case-mix, we could detect those providers that show extreme behaviour patterns across different transitions (readmission, discharge and death). Conclusions The proposed statistical method incorporates both multiple time-to-event outcomes and identification of clusters of providers with extreme behaviour simultaneously. In this way, the whole patient pathway can be considered, which should help healthcare managers to make a more comprehensive assessment of performance.Background It is unclear how formal long-term care (LTC) availability affects formal /informal caregiving patterns and caregiver health. We tested the impact of reduced formal LTC availability on formal LTC service use, intensity of informal caregiving, and caregiver health. Methods Using a representative, repeated cross-sectional sample of Japanese caregivers providing care to co-resident family members from 2001 to 2016, we applied a difference-in-differences approach by observing caregivers before and after the major reform of the public Japanese LTC insurance (LTCI) in 2006. The reform reduced coverage benefits for non-institutionalized older persons with low care needs, but not for those with high care needs. We analyzed 12,764 caregivers aged ≥30 years (mean age 64.3 ± 11.8 years, 73.5% women) and measured indicators of formal LTC use, hours of informal caregiving, and caregiver self-reported health outcomes after propensity score matching to balance caregivers' background characteristics. Results We fohe importance of enhancing the availability of formal LTC services for caregiver health.Background Educational disparities in daily smoking begin during adolescence and can lead to educational disparities in health among adults. In particular, vocational students including apprentices have higher daily smoking rates compared to non-vocational students. This study aimed to identify the determinants of the gap in daily smoking between French apprentices and high school students aged 17 in 2008 and in 2017. Methods We used data from a cross-sectional repeated survey representative of all French adolescents aged 17 in 2008 and 2017. We conducted a non-linear extension of the Oaxaca-Blinder decomposition technique and included the following variables sociodemographic and familial characteristics, parental smoking, cannabis and alcohol use, suicidal attempt, grade repetition and money received. Results Daily smoking was about two times higher among French apprentices compared to high school students in 2008. This gap did not decrease between 2008 and 2017. Differences in measured characteristics between the two groups explained this gap partly, from 28.
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