Barriers and enablers of using a clinical decision support algorithm to consult sick children at primary health facilities: A qualitative study from Uttar Pradesh, India

Barriers and enablers of using a clinical decision support algorithm to consult sick children at primary health facilities: A qualitative study from Uttar Pradesh, India

Introduction: In Indian public health system, adherence to Integrated Management of Childhood Illness (IMNCI) guidelines is low due to inadequate capacity building, high workload and shortage of healthcare providers (HCPs). Objective was to explore barriers and enablers experienced by HCPs using a d...

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Bibliographic Details
Main Authors: Mansi Tyagi, Divas Kumar, Kovid Sharma, Fenella Beynon, Gaurav Kumar, Hélène Langet, Gillian A. Levine, Michael A. Ruffo, Mira Emmanuel Fabula, Valérie D'Acremont, Kaspar Wyss, Leah F. Bohle, Shally Awasthi
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Clinical Epidemiology and Global Health
Subjects:
Clinical Decision Support Algorithms
IMNCI
Sick children
Primary healthcare
India
Online Access:http://www.sciencedirect.com/science/article/pii/S2213398425001277
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