ArticleBMJ open2020
Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02833259 (Development of a Risk Prediction Model for Identifying Potentially Avoidable Readmissions of Patients Hospitalized With Community-Acquired Pneumonia), which is not on this map. Cited by 7 papers.
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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.
Development of a Risk Prediction Model for Identifying Potentially Avoidable Readmissions of Patients Hospitalized With Community-Acquired Pneumonia
Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Effect of Exercise Training on Prognosis in Community-acquired Pneumonia: A Randomized Controlled Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Trial
- Agreement and comparative accuracy of instability criteria at discharge for predicting adverse events in patients with community-acquired pneumonia.BMJ open respiratory research · 2024Article
- Risk Factors for Hospital Readmission in Patients With Interstitial Lung Disease.Respiratory care · 2024Article
- Relationship Between Start of Feeding and Functional Outcome in Aspiration Pneumonia: A Retrospective Cohort Study.Pulmonary therapy · 2022Article
- Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database.BMC medical informatics and decision making · 2022Article
- Incidence of Avoidable 30-Day Readmissions Following Hospitalization for Community-Acquired Pneumonia in France.JAMA network open · 2022Article
- Current Trends in Readmission Prediction: An Overview of Approaches.Arabian journal for science and engineering · 2021Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introduction30-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).
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