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Identifying drivers of health care value: a scoping review of the literature

BACKGROUND: As health care spending reaches unsustainable levels, improving value has become an increasingly important policy priority. Relatively little research has explored factors driving value. As a first step towards filling this gap, we performed a scoping review of the literature to identify...

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Autores principales: Landon, Susan N., Padikkala, Jane, Horwitz, Leora I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248090/
https://www.ncbi.nlm.nih.gov/pubmed/35773663
http://dx.doi.org/10.1186/s12913-022-08225-6
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author Landon, Susan N.
Padikkala, Jane
Horwitz, Leora I.
author_facet Landon, Susan N.
Padikkala, Jane
Horwitz, Leora I.
author_sort Landon, Susan N.
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description BACKGROUND: As health care spending reaches unsustainable levels, improving value has become an increasingly important policy priority. Relatively little research has explored factors driving value. As a first step towards filling this gap, we performed a scoping review of the literature to identify potential drivers of health care value. METHODS: Searches of PubMed, Embase, Google Scholar, Policy File, and SCOPUS were conducted between February and March 2020. Empirical studies that explored associations between any range of factors and value (loosely defined as quality or outcomes relative to cost) were eligible for inclusion. We created a template in Microsoft Excel for data extraction and evaluated the quality of included articles using the Critical Appraisal Skills Programme (CASP) quality appraisal tool. Data was synthesized using narrative methods. RESULTS: Twenty-two studies were included in analyses, of which 20 focused on low value service utilization. Independent variables represented a range of system-, hospital-, provider-, and patient-level characteristics. Although results were mixed, several consistent findings emerged. First, insurance incentive structures may affect value. For example, patients in Accountable Care Organizations had reduced rates of low value care utilization compared to patients in traditionally structured insurance plans. Second, higher intensity of care was associated with higher rates of low value care. Third, culture is likely to contribute to value. This was suggested by findings that recent medical school graduation and allopathic training were associated with reduced low value service utilization and that provider organizations had larger effects on value than did individual physicians. CONCLUSIONS: System, hospital, provider, and community characteristics influence low value care provision. To improve health care value, strategies aiming to reduce utilization of low value services and promote high value care across various levels will be essential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08225-6.
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spelling pubmed-92480902022-07-02 Identifying drivers of health care value: a scoping review of the literature Landon, Susan N. Padikkala, Jane Horwitz, Leora I. BMC Health Serv Res Research BACKGROUND: As health care spending reaches unsustainable levels, improving value has become an increasingly important policy priority. Relatively little research has explored factors driving value. As a first step towards filling this gap, we performed a scoping review of the literature to identify potential drivers of health care value. METHODS: Searches of PubMed, Embase, Google Scholar, Policy File, and SCOPUS were conducted between February and March 2020. Empirical studies that explored associations between any range of factors and value (loosely defined as quality or outcomes relative to cost) were eligible for inclusion. We created a template in Microsoft Excel for data extraction and evaluated the quality of included articles using the Critical Appraisal Skills Programme (CASP) quality appraisal tool. Data was synthesized using narrative methods. RESULTS: Twenty-two studies were included in analyses, of which 20 focused on low value service utilization. Independent variables represented a range of system-, hospital-, provider-, and patient-level characteristics. Although results were mixed, several consistent findings emerged. First, insurance incentive structures may affect value. For example, patients in Accountable Care Organizations had reduced rates of low value care utilization compared to patients in traditionally structured insurance plans. Second, higher intensity of care was associated with higher rates of low value care. Third, culture is likely to contribute to value. This was suggested by findings that recent medical school graduation and allopathic training were associated with reduced low value service utilization and that provider organizations had larger effects on value than did individual physicians. CONCLUSIONS: System, hospital, provider, and community characteristics influence low value care provision. To improve health care value, strategies aiming to reduce utilization of low value services and promote high value care across various levels will be essential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08225-6. BioMed Central 2022-06-30 /pmc/articles/PMC9248090/ /pubmed/35773663 http://dx.doi.org/10.1186/s12913-022-08225-6 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 Research
Landon, Susan N.
Padikkala, Jane
Horwitz, Leora I.
Identifying drivers of health care value: a scoping review of the literature
title Identifying drivers of health care value: a scoping review of the literature
title_full Identifying drivers of health care value: a scoping review of the literature
title_fullStr Identifying drivers of health care value: a scoping review of the literature
title_full_unstemmed Identifying drivers of health care value: a scoping review of the literature
title_short Identifying drivers of health care value: a scoping review of the literature
title_sort identifying drivers of health care value: a scoping review of the literature
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248090/
https://www.ncbi.nlm.nih.gov/pubmed/35773663
http://dx.doi.org/10.1186/s12913-022-08225-6
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