ArticleJAC-antimicrobial resistance2025
Exploration of interprofessional collaboration for the diagnosis of infections and antibiotic prescription in nursing homes using multiple case study observational research.
Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07246382 (Evaluation of A Customizable Antibiotic Stewardship Program Based on a Comprehensive Assessment of Organizations and Health Professionals' Attitudes, and Tailored to French Nursing Homes' Needs), which is not on this map. Cited by 1 paper.
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.
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.
Evaluation of A Customizable Antibiotic Stewardship Program Based on a Comprehensive Assessment of Organizations and Health Professionals' Attitudes, and Tailored to French Nursing Homes' Needs
Who cites it
1 citing paper in PubMed.
- Effect of a multifaceted intervention on potentially unnecessary antibiotic prescriptions in general practice, out-of-hours services, and nursing homes in Spain.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Antibiotic resistance in nursing homes (NHs) is inconsistently tackled by antimicrobial stewardship programmes. The literature on individual determinants of antibiotic prescriptions (APs) in NHs is extensive. However, less is known about the structural determinants of AP in NHs. Objectives: To examine how different organizational contexts influenced interprofessional collaboration in the diagnosis and treatment of infections in NHs. Methods: We conducted multiple case study observational research through field notes and sketches from pictures of NH layouts. Results: We observed three NHs for 10 days (i.e. 82 h). We inductively identified four successive steps: (i) trigger by an assistant nurse, (ii) internal decision-making, (iii) calling on an external general practitioner (GP) and (iv) GP intervention. Diagnosis and treatment of infections involved various degrees of interprofessional collaboration within NHs, resulting in a range of actions, more or less directly involving AP by external GPs. In the case of onsite AP, external GPs barely relied on information about residents provided by NH professionals and did not provide any feedback regarding their decision, resulting in limited interprofessional collaboration. In contrast, remote AP (through phone calls) relied on interprofessional collaboration through mandatory exchanges between external GPs and NH nurses about the resident's symptoms and signs. Conclusions: Diagnosis and treatment of infections through AP involved two distinct organization types (institutional versus private practices) and often lacked interprofessional collaboration. Future antimicrobial stewardship in NHs should consider (i) improving the connection between these two organizations and (ii) developing tools to support remote interprofessional collaboration to sustain prescription.
Identifiers
What OpenQuestion holds
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.