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Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians

BACKGROUND: Most people receive most of their health care in in Australia in primary care, yet researchers and policymakers have limited access to resulting clinical data. Widening access to primary care data and linking it with hospital or other data can contribute to research informing policy and...

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Autores principales: Canaway, Rachel, Boyle, Douglas, Manski-Nankervis, Jo-Anne, Gray, Kathleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988328/
https://www.ncbi.nlm.nih.gov/pubmed/35387634
http://dx.doi.org/10.1186/s12911-022-01830-9
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author Canaway, Rachel
Boyle, Douglas
Manski-Nankervis, Jo-Anne
Gray, Kathleen
author_facet Canaway, Rachel
Boyle, Douglas
Manski-Nankervis, Jo-Anne
Gray, Kathleen
author_sort Canaway, Rachel
collection PubMed
description BACKGROUND: Most people receive most of their health care in in Australia in primary care, yet researchers and policymakers have limited access to resulting clinical data. Widening access to primary care data and linking it with hospital or other data can contribute to research informing policy and provision of services and care; however, limitations of primary care data and barriers to access curtail its use. The Australian Health Research Alliance (AHRA) is seeking to build capacity in data-driven healthcare improvement; this study formed part of its workplan. METHODS: The study aimed to build capacity for data driven healthcare improvement through identifying primary care datasets in Australia available for secondary use and understand data quality frameworks being applied to them, and factors affecting national capacity for secondary use of primary care data from the perspectives of data custodians and users. Purposive and snowball sampling were used to disseminate a questionnaire and respondents were invited to contribute additional information via semi-structured interviews. RESULTS: Sixty-two respondents collectively named 106 datasets from eclectic sources, indicating a broad conceptualisation of what a primary care dataset available for secondary use is. The datasets were generated from multiple clinical software systems, using different data extraction tools, resulting in non-standardised data structures. Use of non-standard data quality frameworks were described by two-thirds of data custodians. Building trust between citizens, clinicians, third party data custodians and data end-users was considered by many to be a key enabler to improve primary care data quality and efficiencies related to secondary use. Trust building qualities included meaningful stakeholder engagement, transparency, strong leadership, shared vision, robust data security and data privacy protection. Resources to improve capacity for primary care data access and use were sought for data collection tool improvements, workforce upskilling and education, incentivising data collection and making data access more affordable. CONCLUSIONS: The large number of identified Australian primary care related datasets suggests duplication of labour related to data collection, preparation and utilisation. Benefits of secondary use of primary care data were many, and strong national leadership is required to reach consensus on how to address limitations and barriers, for example accreditation of EMR clinical software systems and the adoption of agreed data and quality standards at all stages of the clinical and research data-use lifecycle. The study informed the workplan of AHRA’s Transformational Data Collaboration to improve partner engagement and use of clinical data for research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01830-9.
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spelling pubmed-89883282022-04-08 Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians Canaway, Rachel Boyle, Douglas Manski-Nankervis, Jo-Anne Gray, Kathleen BMC Med Inform Decis Mak Research BACKGROUND: Most people receive most of their health care in in Australia in primary care, yet researchers and policymakers have limited access to resulting clinical data. Widening access to primary care data and linking it with hospital or other data can contribute to research informing policy and provision of services and care; however, limitations of primary care data and barriers to access curtail its use. The Australian Health Research Alliance (AHRA) is seeking to build capacity in data-driven healthcare improvement; this study formed part of its workplan. METHODS: The study aimed to build capacity for data driven healthcare improvement through identifying primary care datasets in Australia available for secondary use and understand data quality frameworks being applied to them, and factors affecting national capacity for secondary use of primary care data from the perspectives of data custodians and users. Purposive and snowball sampling were used to disseminate a questionnaire and respondents were invited to contribute additional information via semi-structured interviews. RESULTS: Sixty-two respondents collectively named 106 datasets from eclectic sources, indicating a broad conceptualisation of what a primary care dataset available for secondary use is. The datasets were generated from multiple clinical software systems, using different data extraction tools, resulting in non-standardised data structures. Use of non-standard data quality frameworks were described by two-thirds of data custodians. Building trust between citizens, clinicians, third party data custodians and data end-users was considered by many to be a key enabler to improve primary care data quality and efficiencies related to secondary use. Trust building qualities included meaningful stakeholder engagement, transparency, strong leadership, shared vision, robust data security and data privacy protection. Resources to improve capacity for primary care data access and use were sought for data collection tool improvements, workforce upskilling and education, incentivising data collection and making data access more affordable. CONCLUSIONS: The large number of identified Australian primary care related datasets suggests duplication of labour related to data collection, preparation and utilisation. Benefits of secondary use of primary care data were many, and strong national leadership is required to reach consensus on how to address limitations and barriers, for example accreditation of EMR clinical software systems and the adoption of agreed data and quality standards at all stages of the clinical and research data-use lifecycle. The study informed the workplan of AHRA’s Transformational Data Collaboration to improve partner engagement and use of clinical data for research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01830-9. BioMed Central 2022-04-06 /pmc/articles/PMC8988328/ /pubmed/35387634 http://dx.doi.org/10.1186/s12911-022-01830-9 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
Canaway, Rachel
Boyle, Douglas
Manski-Nankervis, Jo-Anne
Gray, Kathleen
Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
title Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
title_full Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
title_fullStr Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
title_full_unstemmed Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
title_short Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
title_sort identifying primary care datasets and perspectives on their secondary use: a survey of australian data users and custodians
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988328/
https://www.ncbi.nlm.nih.gov/pubmed/35387634
http://dx.doi.org/10.1186/s12911-022-01830-9
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