Methodology for linking Ryan White HIV/AIDS Program Services Report (RSR) client level data over multiple years.
Julia ZhuMiranda FanningLaura SheehanKerry Grace MorrisseyStan LegumSigurd HermansenPublished in: PloS one (2020)
This methodology addresses a gap in data analysis capabilities by allowing HRSA HAB to link RWHAP clients across reporting years. Despite weak identifying information and lack of continuity of service reporting, the longitudinal linkage improves HRSA HAB's ability to evaluate the patterns of viral suppression and monitor service utilization over time for individuals who receive services in multiple years. These analyses will support future analytic activities in understanding the impact and outcomes of the RWHAP, and will assist HRSA HAB in monitoring progress toward meeting National HIV/AIDS Strategy goals. For those looking for ways to assess health services data, the F-S unsupervised method combining weak identifying attributes and geographic proximity offers practical solutions to the problem of linking de-identified information about individuals across multiple years and improving longitudinal research.
Keyphrases
- hiv aids
- data analysis
- healthcare
- mental health
- antiretroviral therapy
- primary care
- quality improvement
- electronic health record
- human immunodeficiency virus
- machine learning
- sars cov
- cross sectional
- adverse drug
- big data
- emergency department
- hiv testing
- health information
- social media
- public health
- genome wide
- men who have sex with men
- global health
- affordable care act