Online ISSN: 2577-5669

A STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON KNOWLEDGE REGARDING TELEMEDICINE AMONG STAFF NURSES AT SELECTED HOSPITALS OF KANPUR UTTAR PRADESH.

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Mr. Deepak Suwalka, Mr. Adarsh Kumar, Mr. Aslam Abbas
» doi: 10.5455/jcmr.2024.15.03.5

Abstract

Although telemedicine has been used spottily in Indian health care so far, the 2020 Covid-19 pandemic provided the nation's health systems an unprecedented opportunity to make a concerted effort to increase access and coverage. Health-care providers can incorporate telemedicine systems to reduce doctor-patient visits and help in breaking the chain of transmission of infections. Anticipating the increased need of telemedicine by health-care providers, the Medical Council of India released practice guidelines in March 2020. In this article, the literature pertinent to telemedicine and its applications with special reference to recently released practice guidelines were reviewed and summarized in a historical and current context. methods-Investigator adopted quantitative research approach with pre-experimental one group pre-test-post-test research design. The subjects were 60 staff nurses and non-probability purposive sampling method was used for selection criteria. Data was collected using demographic data profile and self-structured knowledge questionnaire regarding Telemedicine. Data were analysed using descriptive.In pre-test knowledge regarding Telemedicine, In pre-test out of 60 of Staff Nurses15 (25%) were having inadequate knowledge, 42 (70%) were having moderately adequate knowledge, 3 (5%) were having adequate knowledge in pre-test. While in post-test out of 60 of Staff Nurses 5 (8%) were having inadequate knowledge, 43 (72%) were having moderately adequate knowledge, 12 (20%) were having adequate knowledge in post-test. mean percentage of pre-test is 44% and post-test is 56%; standard deviation of pre-test is 5.5 and post-test is 4.7, mean difference is 4. Thus, it is showing that post-test mean score is higher than pre-test mean score.

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