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Reproducibility of prediction models in health services research
The field of health services research studies the health care system by examining outcomes relevant to patients and clinicians but also health economists and policy makers. Such outcomes often include health care spending, and utilization of care services. Building accurate prediction models using r...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188254/ https://www.ncbi.nlm.nih.gov/pubmed/35690767 http://dx.doi.org/10.1186/s13104-022-06082-4 |
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author | Belbasis, Lazaros Panagiotou, Orestis A. |
author_facet | Belbasis, Lazaros Panagiotou, Orestis A. |
author_sort | Belbasis, Lazaros |
collection | PubMed |
description | The field of health services research studies the health care system by examining outcomes relevant to patients and clinicians but also health economists and policy makers. Such outcomes often include health care spending, and utilization of care services. Building accurate prediction models using reproducible research practices for health services research is important for evidence-based decision making. Several systematic reviews have summarized prediction models for outcomes relevant to health services research, but these systematic reviews do not present a thorough assessment of reproducibility and research quality of the prediction modelling studies. In the present commentary, we discuss how recent advances in prediction modelling in other medical fields can be applied to health services research. We also describe the current status of prediction modelling in health services research, and we summarize available methodological guidance for the development, update, external validation and systematic appraisal of prediction models. |
format | Online Article Text |
id | pubmed-9188254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91882542022-06-12 Reproducibility of prediction models in health services research Belbasis, Lazaros Panagiotou, Orestis A. BMC Res Notes Commentary The field of health services research studies the health care system by examining outcomes relevant to patients and clinicians but also health economists and policy makers. Such outcomes often include health care spending, and utilization of care services. Building accurate prediction models using reproducible research practices for health services research is important for evidence-based decision making. Several systematic reviews have summarized prediction models for outcomes relevant to health services research, but these systematic reviews do not present a thorough assessment of reproducibility and research quality of the prediction modelling studies. In the present commentary, we discuss how recent advances in prediction modelling in other medical fields can be applied to health services research. We also describe the current status of prediction modelling in health services research, and we summarize available methodological guidance for the development, update, external validation and systematic appraisal of prediction models. BioMed Central 2022-06-11 /pmc/articles/PMC9188254/ /pubmed/35690767 http://dx.doi.org/10.1186/s13104-022-06082-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Commentary Belbasis, Lazaros Panagiotou, Orestis A. Reproducibility of prediction models in health services research |
title | Reproducibility of prediction models in health services research |
title_full | Reproducibility of prediction models in health services research |
title_fullStr | Reproducibility of prediction models in health services research |
title_full_unstemmed | Reproducibility of prediction models in health services research |
title_short | Reproducibility of prediction models in health services research |
title_sort | reproducibility of prediction models in health services research |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188254/ https://www.ncbi.nlm.nih.gov/pubmed/35690767 http://dx.doi.org/10.1186/s13104-022-06082-4 |
work_keys_str_mv | AT belbasislazaros reproducibilityofpredictionmodelsinhealthservicesresearch AT panagiotouorestisa reproducibilityofpredictionmodelsinhealthservicesresearch |