| Literature DB >> 31035968 |
Cécile Bessat1,2, Noël Adannou Zonon3, Valérie D'Acremont4,5.
Abstract
BACKGROUND: 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). 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.Entities:
Keywords: Antibiotic use; Antimicrobial resistance; Clinician perception; Computerized decision support system; Diagnostic tools; Electronic clinical algorithms; Integrated management of childhood illness; Low-resource countries; Primary care; Tablets
Mesh:
Substances:
Year: 2019 PMID: 31035968 PMCID: PMC6489291 DOI: 10.1186/s12889-019-6692-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of the study participants
| Characteristic | Number of HW N(%) |
|---|---|
| Sex (Female) | 13 (62) |
| Age | |
| - 30–39 years | 14 (67) |
| - 40–49 years | 6 (29) |
| - 50–59 years | 1 (5) |
| Professionsa | |
| - Health officer (HO) | 6 (29) |
| - Birth attendant (BA) | 7 (33) |
| - Midwife (MW) | 1 (5) |
| - Licensed nurse (LN) | 1 (5) |
| - Registered nurse (RN) | 6 (29) |
| IMCI and/or REC training | |
| - None | 2 (10) |
| - REC 2 days | 2 (10) |
| - IMCI 6 days + REC 2 days | 6 (29) |
| - IMCI 11 days + REC 2 days | 9 (43) |
| - Missing data | 2 (10) |
| Electronic knowledge | 21 (100.0) |
| - Personal use of smartphone | 14 (67) |
| - Tablets | 0 (0.0) |
| - Computer | 1 (5) |
| - None | 1 (5) |
| - Missing data | 5 (24) |
| Duration of REC use | |
| - Since 2010 | 1 (5) |
| - Since 2013 | 1 (5) |
| - Since 2014 | 4 (19) |
| - Since 2015 | 8 (38) |
| - Since 2016 | 1 (5) |
| - Missing data | 6 (29) |
aNumber of years of education required for these professions (in addition to the 6 years of primary school):
Health officer (HO): 2 years of training on primary health care
Birth attendant (BA): 2 years of training on maternal health
Midwife: 4 years of secondary school and 2 years of training on curative care
Licensed practical nurse (LN): 4 years of secondary school and 3 years of training on maternal health
Registered nurse (RN): 4 years of secondary school and 3 years of training on curative care
Citations by participants related to dimension 1
| Dimension 1: Human-electronic interface | |
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| Sense of confidence | |
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| Completeness of the tool | |
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| Technology as a source of motivation | |
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| Patients’ opinion as reported by health workers | |
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Citations by participants related to dimension 2
| Dimension 2: Electronic and other technical issues | |
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| Slowness and breakdowns | |
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| Other electronic issues | |
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Citations by participants related to dimension 3
| Dimension 3: medical content of the algorithm | |
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| Language or miscomprehension | |
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| Missing pathologies | |
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| Absence of final diagnosis | |
| Occasional lack of guidance in treatment | |
| The “sick young infant aged up to 2 months” part of the algorithm | |
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| HIV evaluation | |
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Citations by participants related to dimension 5
| Dimension 5: Impact of REC on patient management | |
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| The health worker perspective: better management and treatment | |
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| Additional prescription | |
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| Confidence in malaria RDT | |
| Acceptance of home remedies and conservative treatments | |
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Citations by participants related to dimension 6
| Dimension 6: Influence on the health facility workflow and consultation organisation | |
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| Impact on the health facility workflow | |
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Citations by participants related to dimension 7
| Dimension 7: Health worker perception on training and supervision | |
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| REC as a learning tool | |
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