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Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?

Nonindicated antibiotics for childhood diarrhea is a major contributor to global antimicrobial resistance. Electronic clinical decision support tools (eCDSTs) may reduce unnecessary antibiotics. This study examined how providers’ expectations of an eCDST to predict diarrhea etiology compared with th...

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Autores principales: Keita, Adama M., Brintz, Ben J., Khan, Ashraful I., Taufiqul Islam, Md., Khan, Zahid Hasan, Keita, Youssouf, Hwang, Jennifer, Nelson, Eric J., Qadri, Firdausi, Sow, Samba, Leung, Daniel T., Watt, Melissa H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society of Tropical Medicine and Hygiene 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294706/
https://www.ncbi.nlm.nih.gov/pubmed/35895365
http://dx.doi.org/10.4269/ajtmh.21-1248
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author Keita, Adama M.
Brintz, Ben J.
Khan, Ashraful I.
Taufiqul Islam, Md.
Khan, Zahid Hasan
Keita, Youssouf
Hwang, Jennifer
Nelson, Eric J.
Qadri, Firdausi
Sow, Samba
Leung, Daniel T.
Watt, Melissa H.
author_facet Keita, Adama M.
Brintz, Ben J.
Khan, Ashraful I.
Taufiqul Islam, Md.
Khan, Zahid Hasan
Keita, Youssouf
Hwang, Jennifer
Nelson, Eric J.
Qadri, Firdausi
Sow, Samba
Leung, Daniel T.
Watt, Melissa H.
author_sort Keita, Adama M.
collection PubMed
description Nonindicated antibiotics for childhood diarrhea is a major contributor to global antimicrobial resistance. Electronic clinical decision support tools (eCDSTs) may reduce unnecessary antibiotics. This study examined how providers’ expectations of an eCDST to predict diarrhea etiology compared with their experiences using the tool. Providers were enrolled from public hospitals in Bangladesh (n = 15) and Mali (n = 15), and surveys were completed at baseline and after using the eCDST. Baseline surveys assessed expectations (utility, ease of use, and threat to autonomy), and post surveys assessed experiences in the same domains. Providers’ experiences with ease of use exceeded their baseline expectations, and providers reported less experienced threat to autonomy after use, compared with baseline expectations. Providers’ expectations of threat to autonomy significantly predicted their experienced threat to autonomy. Findings suggest that an eCDST to inform antimicrobial prescribing for diarrhea is feasible and acceptable, but training should promote local ownership for sustainability.
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spelling pubmed-92947062022-07-21 Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences? Keita, Adama M. Brintz, Ben J. Khan, Ashraful I. Taufiqul Islam, Md. Khan, Zahid Hasan Keita, Youssouf Hwang, Jennifer Nelson, Eric J. Qadri, Firdausi Sow, Samba Leung, Daniel T. Watt, Melissa H. Am J Trop Med Hyg Short Report Nonindicated antibiotics for childhood diarrhea is a major contributor to global antimicrobial resistance. Electronic clinical decision support tools (eCDSTs) may reduce unnecessary antibiotics. This study examined how providers’ expectations of an eCDST to predict diarrhea etiology compared with their experiences using the tool. Providers were enrolled from public hospitals in Bangladesh (n = 15) and Mali (n = 15), and surveys were completed at baseline and after using the eCDST. Baseline surveys assessed expectations (utility, ease of use, and threat to autonomy), and post surveys assessed experiences in the same domains. Providers’ experiences with ease of use exceeded their baseline expectations, and providers reported less experienced threat to autonomy after use, compared with baseline expectations. Providers’ expectations of threat to autonomy significantly predicted their experienced threat to autonomy. Findings suggest that an eCDST to inform antimicrobial prescribing for diarrhea is feasible and acceptable, but training should promote local ownership for sustainability. The American Society of Tropical Medicine and Hygiene 2022-07 2022-07-13 /pmc/articles/PMC9294706/ /pubmed/35895365 http://dx.doi.org/10.4269/ajtmh.21-1248 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Short Report
Keita, Adama M.
Brintz, Ben J.
Khan, Ashraful I.
Taufiqul Islam, Md.
Khan, Zahid Hasan
Keita, Youssouf
Hwang, Jennifer
Nelson, Eric J.
Qadri, Firdausi
Sow, Samba
Leung, Daniel T.
Watt, Melissa H.
Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
title Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
title_full Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
title_fullStr Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
title_full_unstemmed Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
title_short Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
title_sort introduction of an electronic clinical decision support tool to inform prescribing for pediatric diarrhea in bangladesh and mali: do provider expectations predict experiences?
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294706/
https://www.ncbi.nlm.nih.gov/pubmed/35895365
http://dx.doi.org/10.4269/ajtmh.21-1248
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