A cross sectional study was carried out to assess drug compliance after Mass Drug Administration of DEC and the factors responsible for poor compliance among the population of Murshidabad district of West Bengal during Jan 2009. Total study unit were 120 families covering 3 villages and one municipality ward area (30 families from each area). As a part of Revised Filaria control strategy, MDA programme was implemented in Murshidabad district from 29th-31st December 2008. Result revealed that total covered population were 601, out of which 571 were eligible population for Mass drug administration (6 Pregnant women and <2 years age groups (24) were excluded). Drug distribution rate was 91.8%. Overall drug compliance was 42.3%. Total number of defaulters was 330 (57.7%). Non compliance was highest (75.5%) in urban area. Defaulters was more among male than female. Factors responsible for defaulters were no motivation (24.7%), drugs not supplied (22.5%), absence at home (13.5%), no faith (10.1%), fear of side effects (10.1%) and others (Forgotten, lack of prior IEC etc), illness, wrong information were 7.8%, 7.3%, 3.9% respectively. Majority has no side effects, only dizziness (3.3%), headache (1.7%), vomiting and others (4.1%) were experienced by the people after consumption of drugs. On an average 40% families were aware about ELF & transmission of disease. Only 43.7% of community members were informed about MDA by Health Workers prior to the implementation of MDA programme.

Download full-text PDF

Source

Publication Analysis

Top Keywords

district west
8
west bengal
8
mass drug
8
drug administration
8
murshidabad district
8
critical appraisal
4
appraisal mass
4
mass dec
4
dec compliance
4
compliance district
4

Similar Publications

Background: Non-small cell lung cancer (NSCLC) is a fatal disease, and radioresistance is an important factor leading to treatment failure and disease progression. The objective of this research was to detect radioresistance-related genes (RRRGs) with prognostic value in NSCLC.

Methods: The weighted gene coexpression network analysis (WGCNA) and differentially expressed genes (DEGs) analysis were performed to identify RRRGs using expression profiles from TCGA and GEO databases.

View Article and Find Full Text PDF

Objective: This study aims to explore the independent and combined associations of physical activity (PA) in different domains and inflammatory diet with type 2 diabetes mellitus (T2DM).

Methods: Data from 8736 American adults from the NHANES 2007-2016 were used. PA in different domains was assessed using the self-reported Global Physical Activity Questionnaire, and dietary inflammatory index was estimated based on 24 h dietary recalls.

View Article and Find Full Text PDF

Seizures are a rare but potentially serious complication following carotid endarterectomy (CEA). Understanding their prevalence and associated factors is crucial for optimizing perioperative care and improving patient outcomes. This meta-analysis aimed to estimate the pooled prevalence of seizures following CEA and explore clinical and procedural factors contributing to their occurrence.

View Article and Find Full Text PDF

Parthenium weed ( L.) is one of the most noxious and fast-spreading invasive alien species, posing a major threat to ecosystems, agriculture, and public health worldwide. Mechanistic and correlative species distribution models are commonly employed to determine the potential habitat suitability of parthenium weed.

View Article and Find Full Text PDF

Background: MicroRNAs (miRNAs) are closely related to cardiovascular diseases, including chronic heart failure (CHF). Endothelial dysfunction can lead to heart failure. The purpose of this study was to evaluate the clinical significance of miR-1285-3p in CHF patients, with the aim of identifying a novel and effective biomarker for CHF.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!