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05 July-September 2023, Volume 38 Issue 4
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Abstract
The concept of Multipurpose Health Workers (Male and Female) was introduced in 1974 for the delivery of preventive and promotive health care services to the community at the level of Sub-Health Centres (SHCs), the most peripheral health facilities, covering 5000 population in plains and 3000 population in hilly/ tribal/ difficult areas. Material and Method: - Quantitative research approach with exploratory research design were used for this study. Non-probability purposive sampling technique was used for the samples of 500 MPW Workers. Each samples age, gender, education, number of family members were recorded .Descriptive and inferential statistics were used in data analysis. The findings of the knowledge status were associated with the demographic variables. Results: - The study shows that majority of 61% of subject belongs to 30 to 39 years, 24.4% were from 40 to 49 years, 9.8% were from 20 to 21 years and 4.8% were from 50 to 59 years of age group. 60% of samples were females and 40% were male. 88.2% of samples completed their primary education, 9.2% Secondary and 2.4% were illiterate and 0.2% were graduate. 59.8% were having work experience of 1 – 10 years, 33.4% 11 to 20 years, 2% 21 – 30 years and remaining 4.8% 31 – 40 years. 94% of samples were not having any present or past illness and 6% samples were having medical illness. 95.6% of samples were married, 0.2% were divorced and remaining 4.2% were separated. 68.8% of samples were having 3 – 4 family members and 31.2% of samples were having 5 – 6 family members. The study mentioned above reveals that the study shows that Majority 63% of samples were having average QOL and 35.6% were having poor QOL and 1.4% were having good QOL. 54.89 was mean score along with 8.6 SD. The study shows that there was Association between Gender, Education and working years. No any significant association was found with age, past /present medical history, marital status and number of family members. \
Keyword
MPW , workers, Quality of life, Assess, Hospitals
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