Abstract

BackgroundElectronic clinical decision algorithms (eCDAs) that guide clinicians during patient management are being deployed in resource-limited settings to improve the quality of care and rational use of medicines (especially antimicrobials). Little is known on how local clinicians perceive the use and impact of these tools in their daily practice. This study investigates clinician insights on an eIMCI tool. Specifically, we report their views on its medical content, assess their knowledge on microbes, antimicrobials and the development of resistance.MethodsThis qualitative study was conducted in the frame of a large-scale implementation in Burkina Faso of an eIMCI tool developed by the Swiss NGO Terre des hommes. Twelve in-depth interviews and 2 focus-group discussions were conducted including 21 health workers from 10 primary care facilities. Emerging themes were identified using qualitative data analysis software.ResultseIMCI users expressed a high level of satisfaction, slowness of the tablet was perceived as the major inconvenience limiting uptake. Several frequent illnesses were identified as missing in the algorithm along with guidance for fever without focus. When asked about existing types of microbes, 9 and 4 out of 21 participants could mention bacteria and virus respectively; only 5 correctly answered that antibiotics had no action on viral disease and 6 mentioned the risk of antibiotic resistance. Level of knowledge was higher in nurses than in less trained health workers. The tool was perceived as improving patient management and the rational use of antibiotics. Positive changes in health facility organisation were reported, such as task shifting and improved triage. eIMCI was also perceived as a learning tool, and users expressed a strong desire to expand the geographic and temporal scope of the intervention.ConclusionThe use of eICMI was widely accepted and perceived as a powerful tool guiding daily practice. Findings suggest that it has positive effects on the health care system beyond the quality of consultation. To support large uptake and sustainability, better training of health workers in infectiology is essential and the medical content of eIMCI should be optimized to include frequent diseases and, for each of them, the appropriate management plan.

Highlights

  • Electronic clinical decision algorithms that guide clinicians during patient management are being deployed in resource-limited settings to improve the quality of care and rational use of medicines

  • The most widely used clinical guideline is the “Integrated Management of Childhood Illness” (IMCI), which was developed in the mid-nineties by the World Health Organisation (WHO) and the United Nations International Children’s Emergency Fund (UNICEF) in order to improve the management of common childhood illnesses at the primary health care level by enabling early diagnosis and effective treatment

  • Study design and setting At the time of the present study, the Integrated electronic Diagnostic Approach (IeDA) intervention was deployed in 8 districts across 2 regions of Burkina Faso (Region Nord and Boucle du Mouhoun) including a total of 272 primary health care facilities and 1262 primary health care workers using the electronic algorithm, covering a population of around 500,000 children under 5-years-old

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Summary

Introduction

Electronic clinical decision algorithms (eCDAs) that guide clinicians during patient management are being deployed in resource-limited settings to improve the quality of care and rational use of medicines (especially antimicrobials). This study investigates clinician insights on an eIMCI tool. We report their views on its medical content, assess their knowledge on microbes, antimicrobials and the development of resistance. Since 1990, global child mortality has more than halved. Despite this substantial achievement, it falls short of the 2015 Millennium Development Goal of a two thirds reduction, and remains a problem that disproportionately affects Sub-Saharan Africa [1]. Its real impact over the years has remained less than expected due to limited uptake and poor adherence to its guidelines, frequently resulting in incorrect classification and treatment [3]. Despite great efforts to increase training and supervision, the rate of IMCI adherence has remained very low [7]. Users have reported to find the IMCI chart booklet heavy and tedious [8]

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