Barriers and Facilitators to the Collection and Aggregation of Electronic Health Record HIV Data: An Analysis of Study Recruitment Venues Within the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN)
- PMID: 33657900
- PMCID: PMC8505456
- DOI: 10.1177/0163278721998413
Barriers and Facilitators to the Collection and Aggregation of Electronic Health Record HIV Data: An Analysis of Study Recruitment Venues Within the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN)
Abstract
Electronic health record (EHR) data can be leveraged for prospective cohort studies and pragmatic clinical trials, targeting youth living with HIV (YLH). Using EHRs in this manner may minimize the need for costly research infrastructure in service to lowering disease burden. This study characterizes HIV prevention and care continua variables and identifies factors likely to impede or facilitate EHR use for research and interventions. We conducted telephone-based qualitative interviews with National Experts (n = 10) and Key Stakeholders (n = 19) from subject recruitment venues (SRVs), providing care services to YLH and youth at risk for HIV. We found 17 different EHR systems being used for various purposes (e.g., workflow management and billing). Thematic content analysis of interviews highlighted six broad categories of perspectives on barriers to and facilitators of EHR use: specific variable collection, general use barriers, and facilitators, general data collection barriers and facilitators, EHRs for surveillance and research, EHRs for personnel and resource management and capture of HIV specific variables. These findings may inform implementation strategies of future studies, in which we conduct routine monitoring of the youth HIV prevention and care continua using EHRs and test an eHealth intervention.
Keywords: HIV care; HIV prevention; adolescents; electronic health records.
Conflict of interest statement
Declaration of Conflicting Interests
The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
References
-
- Bettger JP, Nguyen VQC, Thomas JG, Guerrier T, Yang Q, Hirsch MA, Pugh T, Harris G, Eller MA, Pereira C, Hamm D, Rinehardt EA, Shall M, & Niemeier JP (2018). Turning Data Into Information: Opportunities to Advance Rehabilitation Quality, Research, and Policy. Archives of Physical Medicine and Rehabilitation, 99(6), 1226–1231. 10.1016/j.apmr.2017.12.029 - DOI - PMC - PubMed
-
- Cowie MR, Blomster JI, Curtis LH, Duclaux S, Ford I, Fritz F, Goldman S, Janmohamed S, Kreuzer J, Leenay M, Michel A, Ong S, Pell JP, Southworth MR, Stough WG, Thoenes M, Zannad F, & Zalewski A (2017). Electronic health records to facilitate clinical research. Clinical Research in Cardiology, 106(1), 9–9. 10.1007/s00392-016-1025-6 - DOI - PMC - PubMed
-
- Creswell JW, & Clark VLP (2017). Choosing a Mixed Methods Design. In Designing and conducting mixed methods research (2nd ed., pp. 54–54). Sage Publications.
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