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ABSTRACT:
INTRODUCTION: Health workers in many low-income countries are not adequately trained to deliver pregnant women safely. In response to this, the Safe Delivery App (SDA) has been developed, which provides animated clinical instruction videos in basic emergency obstetric and neonatal care. The SDA aims to improve knowledge and skills of health workers located in the periphery of the health system in order to improve quality of care and potentially save the lives of mothers and newborns. The objective of this qualitative study was to explore the user’s experiences with using the SDA and in which ways the SDA influence their work situation and their perceived ability to conduct safe deliveries.
METHODOLOGY: A Quantitative research design was used for the present study. A total number of 40 health care workers were enrolled according to inclusion and exclusion criteria. Data were collected via structured questionnaire. The level of the knowledge was categorized into 4 subcategory.
RESULT: level of knowledge of the health care workers 42.55% participants of the study were had adequate knowledge regarding safe delivery app among health care workers and 5 % have inadequate knowledge regarding safe delivery app.
CONCLUSION: Present study suggests that there is adequate knowledge regarding safe delivery app among health care workers.
Keywords:
Safe Delivery App, WHO, Source of knowledge.
Cite Article:
"A study to assess the knowledge regarding safe delivery app among Nursing officer of Subharti hospital at Meerut Utter Pradesh", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.1011 - 1015, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208172.pdf
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000205257
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator