The development of the Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS): a large-scale data sharing initiative
In 2008, the Ministry of Health, Welfare and Sport commissioned the National Care for the Elderly Programme. While numerous research projects in older persons' health care were to be conducted under this national agenda, the Programme further advocated the development of The Older Persons and I...
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Published in: | PloS one Vol. 8; no. 12; p. e81673 |
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Main Authors: | , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Public Library of Science
04-12-2013
Public Library of Science (PLoS) |
Subjects: | |
Online Access: | Get full text |
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Summary: | In 2008, the Ministry of Health, Welfare and Sport commissioned the National Care for the Elderly Programme. While numerous research projects in older persons' health care were to be conducted under this national agenda, the Programme further advocated the development of The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS) which would be integrated into all funded research protocols. In this context, we describe TOPICS data sharing initiative (www.topics-mds.eu).
A working group drafted TOPICS-MDS prototype, which was subsequently approved by a multidisciplinary panel. Using instruments validated for older populations, information was collected on demographics, morbidity, quality of life, functional limitations, mental health, social functioning and health service utilisation. For informal caregivers, information was collected on demographics, hours of informal care and quality of life (including subjective care-related burden).
Between 2010 and 2013, a total of 41 research projects contributed data to TOPICS-MDS, resulting in preliminary data available for 32,310 older persons and 3,940 informal caregivers. The majority of studies sampled were from primary care settings and inclusion criteria differed across studies.
TOPICS-MDS is a public data repository which contains essential data to better understand health challenges experienced by older persons and informal caregivers. Such findings are relevant for countries where increasing health-related expenditure has necessitated the evaluation of contemporary health care delivery. Although open sharing of data can be difficult to achieve in practice, proactively addressing issues of data protection, conflicting data analysis requests and funding limitations during TOPICS-MDS developmental phase has fostered a data sharing culture. To date, TOPICS-MDS has been successfully incorporated into 41 research projects, thus supporting the feasibility of constructing a large (>30,000 observations), standardised dataset pooled from various study protocols with different sampling frameworks. This unique implementation strategy improves efficiency and facilitates individual-level data meta-analysis. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Competing Interests: EWS is a PLOS ONE Editorial Board member and receives royalties from Springer for his textbook, entitled Clinical Prediction Models. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials. Membership of TOPICS-MDS Consortium is provided in the Acknowledgments Conceived and designed the experiments: RJFM MGMO MAEB. Analyzed the data: JEL. Wrote the manuscript: JEL MAEB BWMS HB BMB WPJE APDJ GIJMK BS EWS MGMO RJFM. Contributed to critical revision of the manuscript for intellectual content: MAEB BWMS HB BMB WPJE APDJ GIJMK BS EWS MGMO RJFM. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0081673 |