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The Science of Learning Health Systems: Scoping Review of Empirical Research
BACKGROUND: The development and adoption of a learning health system (LHS) has been proposed as a means to address key challenges facing current and future health care systems. The first review of the LHS literature was conducted 5 years ago, identifying only a small number of published papers that...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908194/ https://www.ncbi.nlm.nih.gov/pubmed/35195529 http://dx.doi.org/10.2196/34907 |
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author | Ellis, Louise A Sarkies, Mitchell Churruca, Kate Dammery, Genevieve Meulenbroeks, Isabelle Smith, Carolynn L Pomare, Chiara Mahmoud, Zeyad Zurynski, Yvonne Braithwaite, Jeffrey |
author_facet | Ellis, Louise A Sarkies, Mitchell Churruca, Kate Dammery, Genevieve Meulenbroeks, Isabelle Smith, Carolynn L Pomare, Chiara Mahmoud, Zeyad Zurynski, Yvonne Braithwaite, Jeffrey |
author_sort | Ellis, Louise A |
collection | PubMed |
description | BACKGROUND: The development and adoption of a learning health system (LHS) has been proposed as a means to address key challenges facing current and future health care systems. The first review of the LHS literature was conducted 5 years ago, identifying only a small number of published papers that had empirically examined the implementation or testing of an LHS. It is timely to look more closely at the published empirical research and to ask the question, Where are we now? 5 years on from that early LHS review. OBJECTIVE: This study performed a scoping review of empirical research within the LHS domain. Taking an “implementation science” lens, the review aims to map out the empirical research that has been conducted to date, identify limitations, and identify future directions for the field. METHODS: Two academic databases (PubMed and Scopus) were searched using the terms “learning health* system*” for papers published between January 1, 2016, to January 31, 2021, that had an explicit empirical focus on LHSs. Study information was extracted relevant to the review objective, including each study’s publication details; primary concern or focus; context; design; data type; implementation framework, model, or theory used; and implementation determinants or outcomes examined. RESULTS: A total of 76 studies were included in this review. Over two-thirds of the studies were concerned with implementing a particular program, system, or platform (53/76, 69.7%) designed to contribute to achieving an LHS. Most of these studies focused on a particular clinical context or patient population (37/53, 69.8%), with far fewer studies focusing on whole hospital systems (4/53, 7.5%) or on other broad health care systems encompassing multiple facilities (12/53, 22.6%). Over two-thirds of the program-specific studies utilized quantitative methods (37/53, 69.8%), with a smaller number utilizing qualitative methods (10/53, 18.9%) or mixed-methods designs (6/53, 11.3%). The remaining 23 studies were classified into 1 of 3 key areas: ethics, policies, and governance (10/76, 13.2%); stakeholder perspectives of LHSs (5/76, 6.6%); or LHS-specific research strategies and tools (8/76, 10.5%). Overall, relatively few studies were identified that incorporated an implementation science framework. CONCLUSIONS: Although there has been considerable growth in empirical applications of LHSs within the past 5 years, paralleling the recent emergence of LHS-specific research strategies and tools, there are few high-quality studies. Comprehensive reporting of implementation and evaluation efforts is an important step to moving the LHS field forward. In particular, the routine use of implementation determinant and outcome frameworks will improve the assessment and reporting of barriers, enablers, and implementation outcomes in this field and will enable comparison and identification of trends across studies. |
format | Online Article Text |
id | pubmed-8908194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89081942022-03-11 The Science of Learning Health Systems: Scoping Review of Empirical Research Ellis, Louise A Sarkies, Mitchell Churruca, Kate Dammery, Genevieve Meulenbroeks, Isabelle Smith, Carolynn L Pomare, Chiara Mahmoud, Zeyad Zurynski, Yvonne Braithwaite, Jeffrey JMIR Med Inform Review BACKGROUND: The development and adoption of a learning health system (LHS) has been proposed as a means to address key challenges facing current and future health care systems. The first review of the LHS literature was conducted 5 years ago, identifying only a small number of published papers that had empirically examined the implementation or testing of an LHS. It is timely to look more closely at the published empirical research and to ask the question, Where are we now? 5 years on from that early LHS review. OBJECTIVE: This study performed a scoping review of empirical research within the LHS domain. Taking an “implementation science” lens, the review aims to map out the empirical research that has been conducted to date, identify limitations, and identify future directions for the field. METHODS: Two academic databases (PubMed and Scopus) were searched using the terms “learning health* system*” for papers published between January 1, 2016, to January 31, 2021, that had an explicit empirical focus on LHSs. Study information was extracted relevant to the review objective, including each study’s publication details; primary concern or focus; context; design; data type; implementation framework, model, or theory used; and implementation determinants or outcomes examined. RESULTS: A total of 76 studies were included in this review. Over two-thirds of the studies were concerned with implementing a particular program, system, or platform (53/76, 69.7%) designed to contribute to achieving an LHS. Most of these studies focused on a particular clinical context or patient population (37/53, 69.8%), with far fewer studies focusing on whole hospital systems (4/53, 7.5%) or on other broad health care systems encompassing multiple facilities (12/53, 22.6%). Over two-thirds of the program-specific studies utilized quantitative methods (37/53, 69.8%), with a smaller number utilizing qualitative methods (10/53, 18.9%) or mixed-methods designs (6/53, 11.3%). The remaining 23 studies were classified into 1 of 3 key areas: ethics, policies, and governance (10/76, 13.2%); stakeholder perspectives of LHSs (5/76, 6.6%); or LHS-specific research strategies and tools (8/76, 10.5%). Overall, relatively few studies were identified that incorporated an implementation science framework. CONCLUSIONS: Although there has been considerable growth in empirical applications of LHSs within the past 5 years, paralleling the recent emergence of LHS-specific research strategies and tools, there are few high-quality studies. Comprehensive reporting of implementation and evaluation efforts is an important step to moving the LHS field forward. In particular, the routine use of implementation determinant and outcome frameworks will improve the assessment and reporting of barriers, enablers, and implementation outcomes in this field and will enable comparison and identification of trends across studies. JMIR Publications 2022-02-23 /pmc/articles/PMC8908194/ /pubmed/35195529 http://dx.doi.org/10.2196/34907 Text en ©Louise A Ellis, Mitchell Sarkies, Kate Churruca, Genevieve Dammery, Isabelle Meulenbroeks, Carolynn L Smith, Chiara Pomare, Zeyad Mahmoud, Yvonne Zurynski, Jeffrey Braithwaite. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 23.02.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Ellis, Louise A Sarkies, Mitchell Churruca, Kate Dammery, Genevieve Meulenbroeks, Isabelle Smith, Carolynn L Pomare, Chiara Mahmoud, Zeyad Zurynski, Yvonne Braithwaite, Jeffrey The Science of Learning Health Systems: Scoping Review of Empirical Research |
title | The Science of Learning Health Systems: Scoping Review of Empirical Research |
title_full | The Science of Learning Health Systems: Scoping Review of Empirical Research |
title_fullStr | The Science of Learning Health Systems: Scoping Review of Empirical Research |
title_full_unstemmed | The Science of Learning Health Systems: Scoping Review of Empirical Research |
title_short | The Science of Learning Health Systems: Scoping Review of Empirical Research |
title_sort | science of learning health systems: scoping review of empirical research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908194/ https://www.ncbi.nlm.nih.gov/pubmed/35195529 http://dx.doi.org/10.2196/34907 |
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