Evidence map›Paper›PMID 32442155›Full record

ArticleJournal of medical Internet research2020

Paving the Way for the Implementation of a Decision Support System for Antibiotic Prescribing in Primary Care in West Africa: Preimplementation and Co-Design Workshop With Physicians.

Nathan Peiffer-Smadja, Armel Poda, Abdoul-Salam Ouedraogo, Jean-Baptiste Guiard-Schmid, Tristan Delory, Josselin Le Bel, Elisabeth Bouvet, Sylvie Lariven, Pauline Jeanmougin, Raheelah Ahmad and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06075108 (P-KIDs CARE), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06075108 narecruitingnot on this mapstarted 2024, after this paper: background citation

P-KIDs CARE: An Intervention to Address Health Systems Delays to Care for Injured Children in Tanzania

TypeinterventionalSponsorUniversity of UtahRan2024 to 2028Enrolled284ConditionsAccidental Injuries, Global Child Health, Pediatric Emergency Medicine, Public Health System ResearchArmsP-KIDs CARE
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Nathan Peiffer-SmadjaInfection Antimicrobials Modelling Evolution (IAME), UMR 1137, University of Paris, French Institute for Medical Research (INSERM), Paris, France.ORCID 0000-0003-1166-1958
Armel PodaDepartment of Infectious Diseases, University Hospital Souro Sanou, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0002-7463-9179
Abdoul-Salam OuedraogoInstitut Supérieur des Sciences de la Santé, Université Nazi Boni, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0002-8539-3768
Jean-Baptiste Guiard-SchmidInitiatives Conseil International - Santé, Ouagadougou, Burkina Faso.ORCID 0000-0003-4995-2742
Tristan DeloryAntibioclic, Paris, France.ORCID 0000-0002-0165-8934
Josselin Le BelAntibioclic, Paris, France.ORCID 0000-0003-4794-209X
Elisabeth BouvetInfectious Diseases Department, Bichat-Claude Bernard Hospital, Assistance-Publique Hôpitaux de Paris, Paris, France.ORCID 0000-0002-0905-4078
Sylvie LarivenInfectious Diseases Department, Bichat-Claude Bernard Hospital, Assistance-Publique Hôpitaux de Paris, Paris, France.ORCID 0000-0001-8164-5844
Pauline JeanmouginAntibioclic, Paris, France.ORCID 0000-0001-6505-2125
Raheelah AhmadNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, United Kingdom.ORCID 0000-0002-4294-7142
François-Xavier LescureInfection Antimicrobials Modelling Evolution (IAME), UMR 1137, University of Paris, French Institute for Medical Research (INSERM), Paris, France.ORCID 0000-0002-2828-125X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuboptimal use of antibiotics is a driver of antimicrobial resistance (AMR). Clinical decision support systems (CDSS) can assist prescribers with rapid access to up-to-date information. In low- and middle-income countries (LMIC), the introduction of CDSS for antibiotic prescribing could have a measurable impact. However, interventions to implement them are challenging because of cultural and structural constraints, and their adoption and sustainability in routine clinical care are often limited. Preimplementation research is needed to ensure relevant adaptation and fit within the context of primary care in West Africa.

objectiveThis study examined the requirements for a CDSS adapted to the context of primary care in West Africa, to analyze the barriers and facilitators of its implementation and adaptation, and to ensure co-designed solutions for its adaptation and sustainable use.

methodsWe organized a workshop in Burkina Faso in June 2019 with 47 health care professionals representing 9 West African countries and 6 medical specialties. The workshop began with a presentation of Antibioclic, a publicly funded CDSS for antibiotic prescribing in primary care that provides personalized antibiotic recommendations for 37 infectious diseases. Antibioclic is freely available on the web and as a smartphone app (iOS, Android). The presentation was followed by a roundtable discussion and completion of a questionnaire with open-ended questions by participants. Qualitative data were analyzed using thematic analysis.

resultsMost of the participants had access to a smartphone during their clinical consultations (35/47, 74%), but only 49% (23/47) had access to a computer and none used CDSS for antibiotic prescribing. The participants considered that CDSS could have a number of benefits including updating the knowledge of practitioners on antibiotic prescribing, improving clinical care and reducing AMR, encouraging the establishment of national guidelines, and developing surveillance capabilities in primary care. The most frequently mentioned contextual barrier to implementing a CDSS was the potential risk of increasing self-medication in West Africa, where antibiotics can be bought without a prescription. The need for the CDSS to be tailored to the local epidemiology of infectious diseases and AMR was highlighted along with the availability of diagnostic tests and antibiotics using national guidelines where available. Participants endorsed co-design involving all stakeholders, including nurses, midwives, and pharmacists, as central to any introduction of CDSS. A phased approach was suggested by initiating and evaluating CDSS at a pilot site, followed by dissemination using professional networks and social media. The lack of widespread internet access and computers could be circumvented by a mobile app with an offline mode.

conclusionsOur study provides valuable information for the development and implementation of a CDSS for antibiotic prescribing among primary care prescribers in LMICs and may, in turn, contribute to improving antibiotic use, clinical outcomes and decreasing AMR.

Indexed as

AdultAfrica, WesternAnti-Bacterial AgentsDecision Support Systems, ClinicalFemaleHumansMalePhysiciansPrimary Health CareAnti-Bacterial AgentsAfrica, Westernantibiotic resistance, microbialantibiotic stewardshipdecision support systems, clinicaldiffusion of innovationdrug resistance, microbialimplementation sciencemedical informatics applications

Identifiers

PMID32442155
PMCPMC7400049

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.