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Using the ATra Black Box to Improve Public Health Data Linkages and Analytics in the DC Cohort Longitudinal HIV Study: Viewpoint on the Process and Findings

Using the ATra Black Box to Improve Public Health Data Linkages and Analytics in the DC Cohort Longitudinal HIV Study: Viewpoint on the Process and Findings

While the linkage is a unique aspect of the DC Cohort, the process of linking data using complex SAS coding took an estimated 6 months to complete, thereby limiting the timeliness and utility of the linked data. To increase the ease, feasibility, accuracy, and timeliness of future linkages, the DC Cohort sought to identify a more efficient approach to data linkage and analysis.

Anne Giuranna Rhodes, Maria Jaurretche, Lisa Mele, Daniel Jarris, Paige Kulie, Shannon Barth, Miranda Smith, J Smart, Amanda D Castel, DC Cohort Executive Committee

J Med Internet Res 2025;27:e77119


Evidence on Digital HIV Self-Testing From Accuracy to Impact: Updated Systematic Review

Evidence on Digital HIV Self-Testing From Accuracy to Impact: Updated Systematic Review

Observed in 46.6% (21/45) of studies [4,22,24,29,31,33-35,40,42,43,45-49,53,55,57,62,64]. 76.2% (16/21) of these studies reported this metric as confirmatory HIV testing and linkage to treatment which varied from 53.0%-100.0% [22,24,29,31,33-35,40,42,45,47,53,55,57,62]. Out of 8 studies (38.0%) reported linkage to care as the percent of confirmed HIV-positive participants who were referred to and initiated antiretroviral therapy (ART) and ranged from 44.4%-98.1% [4,43,46,48,49,53,55,64].

Ashlyn Beecroft, Olivia Vaikla, Nora Engel, Thomas Duchaine, Chen Liang, Nitika Pant Pai

J Med Internet Res 2025;27:e63110


The University of California Study of Outcomes in Mothers and Infants (a Population-Based Research Resource): Retrospective Cohort Study

The University of California Study of Outcomes in Mothers and Infants (a Population-Based Research Resource): Retrospective Cohort Study

Accurate linkages were prioritized over high linkage rates; therefore, a pessimistic linkage method was used to increase the likelihood of true matches.

Rebecca J Baer, Gretchen Bandoli, Laura Jelliffe-Pawlowski, Christina D Chambers

JMIR Public Health Surveill 2024;10:e59844


The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

The second interface, which is more friendly to layman users and avoids requiring the data analyst to write R code, uses RShiny-based helper screens to guide analysts through a process by which they open a file of locations (eg, street addresses), geocode them, specify a data set, a neighborhood radius and years of data to spatially link, allowing the ACMT to perform the appropriate data download, spatial linkage, and interpolation for the analyst’s data set of interest.

Weipeng Zhou, Amy Youngbloom, Xinyang Ren, Brian E Saelens, Sean D Mooney, Stephen J Mooney

JMIR Form Res 2024;8:e56510


Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review

Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review

As quality assessment of data linkage is essential to limit biased results and false interpretation, several recommendations highlight elements or information about the linkage pathway (data provision, method of data linkage, and data analyses) to be shared and checked [4,22]. In this context, the objective of this systematic review is to analyze the type and quality of research publications on indirect data linkage on health product use and care trajectories in France.

Florence Ranchon, Sébastien Chanoine, Sophie Lambert-Lacroix, Jean-Luc Bosson, Alexandre Moreau-Gaudry, Pierrick Bedouch

J Med Internet Res 2023;25:e41048