ArticleInfection and drug resistance2025
Long-Term Outcomes of a Health Information System-Based Feedback Intervention Study of Antimicrobial Prescriptions in Primary Care Institutions: Follow-Up of a Randomized Cross-Over Controlled Trial.
Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Barriers and facilitators of the implementation for the antimicrobial Social Norm Feedback (SNF) intervention strategy in primary care institutions: a qualitative study based on the Consolidated Framework for Implementation Research (CFIR).Antimicrobial resistance and infection control · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To evaluate the long-term impacts of the feedback intervention on controlling inappropriate use of antimicrobial prescriptions in primary care institutions in China, as a continuation of the previous feedback intervention trial. Methods: After the intervention ended, we conducted a 12-month follow-up study. The prescription data were collected from the baseline until the end of the follow-up period. The generalized estimation equation was employed to analyze the differences among four representative time points: at the baseline point, at 3 months, at 6 months, and at 18 months. The time-intervention interaction was utilized to evaluate the changing trends of group A and group B. Our primary outcome variable is the monthly inappropriate antimicrobial prescription rate (IAPR). Results: After adjusting for covariates, the IAPRs in group A decreased by 1.00% on average from the baseline point to the 3 months, 5.00% from the 3 months to the 6 months, -0.92% from the 6 months to the 18 months, and 0.39% from the baseline point to the 18 months. During the corresponding four periods in group B, the average decline was 2.33%, 3.67%, -0.42%, and 0.72%, respectively. As for antimicrobial prescription rates (APRs), the average decline for group A was 1.33%, 3.67%, and 0.17% during the three periods: from the baseline point to the 3 months, from the 3 months to the 6 months, and from the 6 months to the 18 months, respectively. Accordingly in group B, the average decline was 1.00%, 3.67%, and 0.08%, respectively. Conclusion: Our feedback intervention generated limited long-term impacts. Although the IAPRs and the APRs consistently remained below the baseline point, both rates experienced a rebound within a certain range following the stop of the intervention in the two groups. It is reasonable to think that the desired effects will be difficult to maintain without sustained implementation of feedback intervention.
Indexed as
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.