Cargando…
Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population
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...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661353/ https://www.ncbi.nlm.nih.gov/pubmed/33177142 http://dx.doi.org/10.1136/bmjopen-2020-040573 |
_version_ | 1783609190374178816 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Mounayar, Anne-Laure |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7661353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-76613532020-11-20 Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population 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 BMJ Open Health Services Research 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). BMJ Publishing Group 2020-11-11 /pmc/articles/PMC7661353/ /pubmed/33177142 http://dx.doi.org/10.1136/bmjopen-2020-040573 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Health Services Research 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 Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
title | Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
title_full | Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
title_fullStr | Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
title_full_unstemmed | Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
title_short | Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
title_sort | development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661353/ https://www.ncbi.nlm.nih.gov/pubmed/33177142 http://dx.doi.org/10.1136/bmjopen-2020-040573 |
work_keys_str_mv | AT mounayarannelaure developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT francoispatrice developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT pavesepatricia developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT sellierelodie developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT gaillatjacques developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT camaraboubou developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT deganobruno developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT mailletmylene developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT bouissemagali developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT courtoisxavier developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT labarerejose developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation AT seigneurinarnaud developmentofariskpredictionmodelofpotentiallyavoidablereadmissionforpatientshospitalisedwithcommunityacquiredpneumoniastudyprotocolandpopulation |