Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population. Issue 11 (11th November 2020)

• Record Type: Journal Article
• Authors: Mounayar, Anne-Laure; Francois, Patrice; Pavese, Patricia; Sellier, Elodie; Gaillat, Jacques; Camara, Boubou; Degano, Bruno; Maillet, Mylène; Bouisse, Magali; Courtois, Xavier; Labarère, José; Seigneurin, Arnaud
• Is Part Of: BMJ open. Volume 10:Issue 11(2020)
• Publication Date: 2020-11-11
• Subjects: pneumonia -- hospital readmission -- prediction model; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2020-040573
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Introduction: 30-day readmission rate is considered an adverse outcome reflecting suboptimal quality of care during index hospitalisation for community-acquired pneumonia (CAP). However, potentially avoidable readmission would be a more relevant metric than all-cause readmission for tracking quality of hospital care for CAP. The objectives of this study are (1) to estimate potentially avoidable 30-day readmission rate and (2) to develop a risk prediction model intended to identify potentially avoidable readmissions for CAP. Methods and analysis: The study population consists of consecutive patients admitted in two hospitals from the community or nursing home setting with pneumonia. To qualify for inclusion, patients must have a primary or secondary discharge diagnosis code of pneumonia. Data sources include routinely collected administrative claims data as part of diagnosis-related group prospective payment system and structured chart reviews. The main outcome measure is potentially avoidable readmission within 30 days of discharge from index hospitalisation. The likelihood that a readmission is potentially avoidable will be quantified using latent class analysis based on independent structured reviews performed by four panellists. We will use a two-stage approach to develop a claims data-based model intended to identify potentially avoidable readmissions. The first stage implies deriving a clinical model based on data collected through retrospective chart review only. In the second stage, the predictors comprising the medical record model will be translated into International Classification of Diseases, 10th revision discharge diagnosis codes in order to obtain a claim data-based risk model. The study sample consists of 1150 hospital stays with a diagnosis of CAP. 30-day index hospital readmission rate is 17.5%. Ethics and dissemination: The protocol was reviewed by the Comité de Protection des Personnes Sud Est V (IRB#6705). Efforts will be made to release the primary study results within 6 months of data collection completion. Trial registration number: ClinicalTrials.gov Registry (NCT02833259 ).