Electronic Clinical Decision Support Tools to Manage Patients with Lower Respiratory Tract Infection: Clinicians’ Perspectives in Sri Lanka
Rattachement africain : lk, us, Tanzanie. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
In low-resource settings, providers often manage lower respiratory tract infections (LRTIs) without diagnostic tests, which may cause antibacterial overuse. Electronic clinical decision support tools (eCDSTs) can support evidence-based decision-making and judicious use of antibacterials. This study aimed to explore the potential of an eCDST to help providers in Sri Lanka effectively manage LRTI. Semi-structured interviews were conducted with 15 clinicians, including 10 males and five females, with an average of 11.6 years (range: 4-25 years) of clinical practice. The interview guide covered clinicians' interest in an eCDST to manage LRTI and their feedback regarding the desired features of such a tool. Interviews were audio-recorded, transcribed, and coded for themes related to: interest in an eCDST for LRTI, desired tool capabilities, development concerns, and tool design characteristics. All expressed interest in incorporating eCDSTs into their practice. However, the majority emphasized that clinical judgment must supersede recommendations from an eCDST. Four themes emerged regarding desired tool capabilities: information about the pathogen, treatment recommendations, severity of the LRTI, and monitoring of patient progress. Six themes emerged regarding tool development considerations: validated algorithms, regional specificity, seasonality, inclusion of patient's risk factors, scalability, and the importance of updated and locally relevant recommendations. Participants stressed that the tool design should be simple, timesaving, and internet-independent. Electronic clinical decision support tools are capable of improving patient care and reduce antibiotic overuse, which may impact downstream antibacterial resistance. Future research should develop an eCDST for LRTI with local input and evaluate its impact on appropriate antibacterial use and patient outcomes.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Electronic Clinical Decision Support Tools to Manage Patients with Lower Respiratory Tract Infection: Clinicians’ Perspectives in Sri Lanka
- Date Crossref
- 07/05/2025
- Éditeur
- American Society of Tropical Medicine and Hygiene
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Ruhuna pays non établi dans la noticeUniversité ou école supérieure
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Duke University Duke Global Health Institute pays non établi dans la noticeUniversité ou école supérieure
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Duke Institute for Health Innovation pays non établi dans la noticeInstitution
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Clinical Research Institute pays non établi dans la noticeStructure de recherche
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Kilimanjaro Christian Medical Centre Moshi, Tanzanie (code pays fourni par la source)Établissement de santé
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University of Utah pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Medicine Department of Medicine pays non établi dans la noticeUniversité ou école supérieure
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School of Medicine Department of Medicine pays non établi dans la noticeUniversité ou école supérieure
University of Ruhuna, Duke Global Health Institute — Duke University et Duke Institute for Health Innovation, avec 5 autres affiliations. Pays d’affiliation : Tanzanie.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.