ArticleCJC open2022
Development and Evaluation of an Audit and Feedback Process for Prevention of Acute Kidney Injury During Coronary Angiography and Intervention.
Article in CJC open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 6 citations in OpenAlex.
- Trial
- Extending the Calgary Audit and Feedback Framework into the virtual environment: a process evaluation and empiric evidence.Implementation science communications · 2024Article
- Physician Variation and the Impact of Payment Model in Cardiac Imaging.Journal of the American Heart Association · 2023Article
- Change Management Accompanying Implementation of Decision Support for Prevention of Acute Kidney Injury in Cardiac Catheterization Units: Program Report.Canadian journal of kidney health and disease · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Contrast-associated acute kidney injury (CA-AKI) is a potentially preventable complication of coronary angiography and intervention. Relatively little research has been done to determine how knowledge on CA-AKI prevention can be translated into clinical practice. Methods: We developed, implemented, and surveyed end-users about the usability, acceptability, and utility of an audit and feedback process for CA-AKI prevention in Alberta, Canada. The audit and feedback reported on amount of radiocontrast dye used, hemodynamic optimization of intravenous fluids, and CA-AKI incidence for each cardiologist practicing coronary angiography or percutaneous coronary intervention, compared with peers at their site and across the province. Reports were developed through an iterative process involving interventional cardiologists throughout the design process and usability testing. Results: Cardiologists participating in usability testing indicated a preference for the visual displays of data and summarizing indicators on the front page, and endorsed the value of peer-to-peer comparisons of performance measures. Of 31 eligible cardiologists from across Alberta, 17 responded to a survey evaluating the audit and feedback process. Fifteen respondents (88.2%) agreed that the data presented in the audit and feedback report were understandable; 17 respondents (100%) agreed or strongly agreed that the presentation of the report helped them better understand their performance compared with that of their peers; and 14 (82.4%) agreed that the audit and feedback process helped them identify ways to reduce the risk of AKI for their patients. Conclusions: Conducting an audit and providing feedback was an understandable and acceptable intervention to help cardiologists identify ways to improve prevention of CA-AKI during coronary angiography or intervention.
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.