Strategies for maximizing IPD retrieval in IPDMA: A mixed method study

Session Type
Oral presentation
Individual patient data meta-analysis
Woo B1, Lin Y2, Tang A3, Wu IXY2, Tam WWS1
1Alice Lee Centre for Nursing Studies, National Univeristy of Singapore, Singapore
2Xiangya School of Public Health, Central South University, China
3School of Science, Engineering and Technology, RMIT University, Vietnam

Background: Individual Participant Data (IPD) meta-analysis is regarded as the ideal approach for providing evidence on intervention effect estimation because it can derive standardized outcome definitions and use a consistent analysis method. Our previous study has summarized the methodological and reporting quality of published IPDMA (BMJ 2021;372:n736). However, the current practices and perceived best strategies in IPD retrieval are still unclear.
Objectives: The aim of this study is to explore the perceived and practical strategies in IPD retrieval.
Methods: A cross-sectional survey was conducted. Email addresses of IPDMA authors were identified through PUBMED. An e-questionnaire with 32 questions, related to the authors’ demographic, their views and practices on different strategies in conducting IPDMA, were created based on literature. Qualitative email interviews were then conducted to gather in-depth information about their barriers and perceived strategies to maximize the IPD retrieval. Descriptive statistics, inferential statistics and linear regression models were used to analyze the data collected from the e-questionnaire while content analysis was undertaken for the qualitative interview. Ethics approval was granted by the university IRB.
Results: 151 respondents were mostly male (62%), aged≥35 (80.1%), academic staff (69.5%), with >5-year experiences (80.1%). The mean successful rate of retrieving the IPD data was 67.2%. 64.2% included their primary studies in the IPDMA and 44.4% provided authorship for primary study authors as incentive. Email was the most common methods to contact study author (90.1%) and share data (67.5%), it was also ranked the most effective way in requesting IPD. Linear regression models revealed that those (i) aged≥65, (ii) were academic staff as the first contact person, (iii) had primary study included in the IPDMA, had significant higher successful rate. Two main categories were identified from the email interview qualitative responses – (i) ‘Contributors of successful IPD retrieval’ and (ii) ‘Reasons for failed IPD retrievals’. (See Tables)
Conclusions: It is revealed that senior academics working in the field with primary data themselves had higher chance to retrieve the IPD. Providing authorship of the IPDMA publication to the primary study author may also help to improve the successful rate.
Patient, public and/or healthcare consumer involvement: Nil

Cochrane abstract 2 - IPDMA.pdf