5 research outputs found

    Regular Antenatal Care Visits Predict Good Knowledge Among Post-natal Mothers Regarding Entitlements of Health Programs in Western India

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    Janani-Shishu Suraksha Karyakram (JSSK) and Janani Suraksha Yojana (JSY) were launched with the objective of increasing institutional deliveries. But, its knowledge among the post-natal mothers is not known. This research evaluated the knowledge of two national health programs among post-natal mothers and found out the predictors of good knowledge about the entitlements of these programs. A cross-sectional study was conducted on a sample of consecutively recruited 339 post-natal mothers who had delivered in a tertiary care hospital of western India. Data were collected from November 2016 to February 2017 by interview method using a questionnaire with questions about knowledge regarding the entitlements of JSSK and JSY. Multivariable analysis was carried out for predictors of good knowledge. Among the 339 post-natal mothers, 30% had a good knowledge regarding JSSK. Only 24% had heard about JSSK; 54% knew regarding free transport to the place of delivery; only 22% and 13%, respectively knew about free inter-facility transport in case of complications for pregnant women and sick infants, while 96% knew regarding free drop-back facility. Only one-fourth of the mothers knew regarding monetary benefit under JSY, while 28% of them had actually received the benefit. The number of antenatal care visits, having an occupation and belonging to Hindu religion significantly predicts good knowledge among postnatal mothers regarding JSSK. Knowledge among the post-natal mothers regarding the entitlements of JSSK and JSY is less while comparing with published literature and needs improvement. Regular ante-natal care (ANC) visits might improve their knowledge of these programs. There is a need to create awareness among hospital staff for the provision of reimbursement of costs incurred by post-natal mothers. There is also a need to carry out demand generation activities among mothers regarding the entitlements of JSSK and JSY

    Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India

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    Abstract Background Differentiated tuberculosis (TB) care is an approach to improve treatment outcomes by tailoring TB management to the particular needs of patient groups based on their risk profile and comorbidities. In silicosis-prone areas, the coexistence of TB and silicosis may exacerbate treatment outcomes. The objective of the study was to determine predictors of TB-related mortality, treatment failure, and loss to follow-up in a silicosis-prone region of western India. Methods A retrospective cohort was conducted among 2748 people with TB registered between January 2006 and February 2022 in Khambhat, a silicosis-prone block in western India. Death, treatment failure, and loss to follow up were the outcome variables. The significant predictors of each outcome variable were determined using multivariable logistic regression and reported as adjusted odds ratios (aOR) with 95% confidence intervals (CIs). Results In the cohort of 2,748 people with TB, 5% presented with silicosis, 11% succumbed to the disease, 5% were lost to follow-up during treatment, and 2% encountered treatment failure upon completion of therapy. On multivariable logistic regression, concomitant silicosis [aOR 2.3 (95% CI 1.5–3.5)], advancing age [aOR 1.03 (95% CI 1.02–1.04)], male gender [aOR 1.4 (95% 1.1–1.9)], human immunodeficiency virus (HIV) positive [aOR 2.2 (95% 1.02–4.6)], and previous TB treatment [aOR 1.5 (95% CI 1.1–1.9)] significantly predicted mortality among people with TB. Concomitant silicosis [aOR 3 (95% CI 1.4–6.5)], previous TB treatment [aOR 3 (95% CI 2–6)], and multi-drug resistant TB [aOR 18 (95% CI 8–41)] were the significant predictors of treatment failure on adjusted analysis. Advancing age [aOR 1.012 (1.001–1.023)], diabetes [aOR 0.6 (0.4–0.8)], and multi-drug resistance [aOR 6 (95% CI 3–12)] significantly predicted loss to follow-up after adjusting for confounders. Conclusions Controlling silicosis might decrease TB mortality and treatment failure in silicosis-prone regions. The coexistence of HIV and silicosis may point to an increase in TB deaths in silicosis-prone areas. Silicosis should now be acknowledged as a major comorbidity of TB and should be included as one of the key risk factors in the differentiated TB care approach. Primary care physicians should have a high clinical suspicion for silicosis among individuals diagnosed with TB in silicosis-prone blocks

    “I lost my faith and stopped taking the medicines” – need for an intervention model based on health belief constructs for improving adherence to tuberculosis treatment

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    Background: India is reporting the highest number of tuberculosis (TB) cases worldwide. The health belief model has proved beneficial to understand health-related behaviors among patients with TB. We explored the reasons and solutions for non-adherence to the treatment of TB using the constructs of the health belief model. Methods: We conducted in-depth interviews among patients who were reported 'lost to follow up' (LFU) and among the service providers under the national TB program in the Patan district based on the constructs of the health belief model – perceived susceptibility, perceived severity, perceived benefits, and perceived barriers. All the interviews were audio-recorded and transcripts were analyzed using thematic analysis. Results: The analysis resulted in nine major reasons for LFU which were explained under the health belief model constructs. Perceived susceptibility was reflected by lack of support from health workers, losing faith in government, and dependence on alcohol. Negative counseling by quacks explained perceived severity, while improvement in symptoms corroborated with the perceived benefits. Side effects to anti-TB drugs, high pill burden, stigma, and financial constraints were the perceived barriers reported by the patients. Conclusions: The health belief model explains treatment non-adherence behavior among patients with tuberculosis in India. To eliminate TB, program managers in India need to design a comprehensive intervention model to counsel the patients on the benefits of completing treatment, generate awareness to dispel the myths surrounding the disease, and instill confidence through regular visits by health workers. Primary care physicians should try incorporating counselling of patients with TB in their routine care to reduce LFU
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