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Background: A study was done on the prevalence, risk factors, and treatment-seeking behavior of elderly women with urinary incontinence (UI) residing in Kochi Corporation, Kerala, India. The community-based cross-sectional study was done in Kochi on 525 elderly women aged 60 years and above, selected by cluster random sampling, after getting consent, using a questionnaire. The overall prevalence of UI was found to be 64% (95% confidence interval (CI) 59.5-67.6). The most common type of UI was found to be the urge type of incontinence (38.3%, 95% CI, 34.14-42.45). Chronic cough (odds ratio [OR] 1.754, 95% 1.170-2.631), chronic constipation (OR: 1.563, 95% CI: 1.030-2.373), obesity (OR: 1.591, 95% CI: 1.110-2.280), diabetes (OR: 1.517, 95% CI: 1.036-2.222), and taking medications for diabetes and hypertension (OR: 1.476, 95% 1.008-2.163) were found to be risk factors of UI. Multiparity (OR: 1.757, 95% CI: 1.073-2.876), delivery at home (OR: 1.761, 95% CI: 1.205-2.575), undergoing any pelvic surgery (OR: 1.504, 95% CI: 1.052-2.150) were the gynecological and obstetric factors associated with UI. Context: Very few community-based studies are available on UI among elderly women. Aim: The primary objective of the study was to estimate the prevalence of UI among elderly women residing in the Kochi corporation. The secondary objective was to determine the risk factors of UI. Settings and Design: A community-based cross-sectional study was done in the Kochi Corporation of Ernakulam district. Subjects and Methods: A pilot study was conducted and based on this, the sample size was computed to be 72.41. Data from 525 individuals were collected using cluster random sampling. A questionnaire for urinary incontinence diagnosis questionnaire was used for assessing the type of UI. Statistical Analysis Used: Percentage prevalence, Chi-square test. Results: The overall prevalence of UI was found to be 64%. The most common type of UI was found to be the urge type of incontinence. Chronic cough, chronic constipation, obesity, diabetes, taking medications for diabetes, and hypertension were found to be risk factors of UI. Multiparity, delivery at home, and undergoing any pelvic surgery were the gynecological and obstetric factors associated with UI. Conclusions: The prevalence of UI among elderly women in this study was found to be 63.9%. The most common type of UI was found to be urge type of incontinence 38.3%, followed by mixed incontinence 32.3%, and stress incontinence 29.3%. Chronic cough (OR: 1.754), chronic constipation (OR: 1.563), obesity (OR: 1.591), diabetes (OR: 1.517), and taking medications for diabetes and hypertension (OR: 1.476) were found to be risk factors for UI. Multiparity (OR: 1.757), delivery at home (OR: 1.761) and undergoing any pelvic surgery (OR: 1.504) were the gynecological and obstetric factors associated with UI among elderly women in this study. Chronic cough (adjusted odds ratio [aOR] 1.64, 95% CI: 1.08-2.50), obesity (aOR: 1.64, 95% CI: 1.13-2.39), pelvic surgery (aOR: 1.64, 95% CI: 1.13-2.39), and delivery at home (aOR: 1.89, 95% CI: 1.27-2.82) were found to be independent risk factors for UI among elderly women.

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BACKGROUND: More than half of the TB patients in India seek care from the private sector. Two decades of attempts by the National TB Program to improve collaboration between the public and private sectors have not worked except in a few innovative pilots. The System for TB Elimination in Private Sector (STEPS) evolved in 2019 as a solution to ensure standards of TB care to every patient reaching the private sector. We formally evaluated the STEPS to judge the success of the model in achieving its outcomes and to inform decisions about scaling up of the model to other parts of the country. METHODS: An evaluation team was constituted involving all relevant stakeholders. A logic framework for the STEPS model was developed. The evaluation focused on (i) processes - whether the activities are taking place as intended and (ii) proximal outcomes - improvements in quality of care and strengthening of TB surveillance system. We (i) visited 30 randomly selected STEPS centres for assessing infrastructure and process using a checklist, (ii) validated the patient data with management information system of National TB Elimination Program (NTEP) by telephonic interview of 57 TB patients (iii) analysed the quality of patient care indicators over 3 years from the management information system (iv) conducted in-depth interviews (IDI) with 33 beneficiaries and stakeholders to understand their satisfaction and perceived benefits of STEPS and (v) performed cost analysis for the intervention from the perspective of NTEP, private hospital and patients. RESULTS: Evaluation revealed that STEPS is an acceptable model to all stakeholders. IDIs revealed that all patients were satisfied about the services received. Data in management information system of NTEP were consistent with the hospital records and with the information provided by the patient. Quality of TB care indicators for patients diagnosed in private hospitals showed improvements over years as proportion of TB patients notified from private sector with a microbiological confirmation of diagnosis improved from 25% in 2018 to 38% in 2020 and the documented treatment success rate increased from 33% (2018 cohort) to 88% (2019 cohort). Total additional programmatic cost (deducting cost for patient entitlements) per additional patient with successful treatment outcome was estimated to be 67 USD. Total additional expense/business loss for implementing STEPS for the hospital diagnosing 100 TB patients in a year was estimated to be 573 USD while additional minimum returns for the hospital was estimated to be 1145 USD. CONCLUSION: Evaluation confirmed that STEPS is a low cost and patient-centric strategy. STEPS successfully addressed the gaps in the quality of care for patients seeking care in the private sector and ensured that services are aligned with the standards of TB care. STEPS could be scaled up to similar settings.

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INTRODUCTION: Nosocomial transmission of airborne infections, such as H1N1, drug-resistant tuberculosis, and Nipah virus disease, has been reported recently and has been linked to the limited airborne infection control strategies. The objective of the current study was to assess the health facilities for airborne infection control (AIC) practices and adherence to the National AIC (NAIC) guidelines, 2010. MATERIALS AND METHODS: A cross-sectional study was conducted in 25 public and 25 private hospitals selected from five randomly selected districts in the state of Kerala. A checklist with 62 components was developed based on the NAIC guidelines. Frequencies, percentages, and mean with standard deviation were used to summarize facility risk assessment and compliance to guidelines. RESULTS: Most of the facilities had infection control committees 35 (70%). Annual infection control trainings were held for staff in 21 (42%) facilities. Twenty (40%) facilities were not familiar with NAIC guidelines. Counseling on cough etiquette at registration was practiced in 5 (10%) institutions. Cross ventilation was present in outpatient departments in 27 (54%) institutions. Sputum was disposed properly in 43 (86%) institutions. N95 masks were available in high-risk settings in 7 (14%) health facilities. CONCLUSION: There exist deficiencies in adherence to all components of NAIC guidelines including administrative, environmental, and use of personal protective equipment in both government and private hospitals in the state.

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BACKGROUND: There was an outbreak of acute hepatitis in Nellikuzhy panchayat of Kothamangalam taluk, Ernakulam district, Kerala, during November and early December 2016. Objective of this study is to describe the epidemiological features of the outbreak and to identify the probable source. MATERIALS AND METHODS: The outbreak was defined in terms of time, place, and person. A hypothesis was generated and tested using a case-control study. Cases were selected by simple random sampling from the line list and controls were age-matched neighborhood individuals without any history of jaundice. Chi-square test, univariate analysis, and multi-variate logistic regression analyses were done to identify the probable risk factors. RESULTS: Around 223 hepatitis A cases were identified. Attack rate was found to be highest among the age group of 16-30 years at 1.44% and was eight times higher among males. Epidemic curve suggested a point source outbreak possibly from exposure to food or water from a newly opened hotel in the area. The case-control study confirmed the hypothesis with a statistically significant association between cases and history of exposure to food from the hotel [OR 120; 95% CI 14.6-996.2; P value < 0.001]. CONCLUSION: Observations and results of the case-control study revealed that the probable source of the Hepatitis A outbreak at Nellikuzhy panchayat was a hotel. The study findings also add evidences to the changing epidemiological pattern of hepatitis A in Kerala, and warrant the necessity to enforce food safety rules in the State.