Population-based estimates of engagement in HIV care and mortality using double-sampling methods following home-based counseling and testing in western Kenya.
Becky L GenbergJoseph W HoganYizhen XuMonicah NyamburaCaren TarusElyne RotichCatherine KafuJuddy WachiraSuzanne GoodrichPaula BraitsteinPublished in: PloS one (2019)
In settings without universal national identifiers, rates of linkage to care from community-based programs may be subject to substantial underestimation. Follow-up samples of those with missing information can be used to partially correct this bias, as has been demonstrated previously for mortality among those who were lost-to-care programs. There is a need for harmonized data systems across health systems and programs.
Keyphrases
- quality improvement
- public health
- healthcare
- palliative care
- cardiovascular events
- risk factors
- social media
- pain management
- hiv testing
- affordable care act
- electronic health record
- type diabetes
- cardiovascular disease
- health information
- genome wide
- coronary artery disease
- gene expression
- big data
- deep learning
- hiv infected
- data analysis
- antiretroviral therapy