Diagnostic Infectious Diseases Testing Outside Clinics: A Global Systematic Review and Meta-analysis.
Eneyi Edith KpokiriGifty MarleyWeiming TangNoah FongwenDan WuSima BerendesBhavana AmbilSarah-Jane LovedayRanga SampathJennifer S WalkerJoseph K B MatovuCatharina BoehmeNitika Pant PaiJoseph D TuckerPublished in: Open forum infectious diseases (2020)
We conducted a systematic review and meta-analysis, searching 6 databases and including original research manuscripts comparing testing outside clinics with conventional testing. The main outcomes were test uptake and linkage to care, delivery models, and adverse outcomes. Data from studies with similar interventions and outcomes within thematic areas of interest were pooled, and the quality of evidence was assessed using GRADE. This study was registered in PROSPERO (CRD42019140828).We identified 10 386 de-duplicated citations, and 76 studies were included. Data from 18 studies were pooled in meta-analyses. Studies focused on HIV (48 studies), chlamydia (8 studies), and multiple diseases (20 studies). HIV self-testing increased test uptake compared with facility-based testing (9 studies: pooled odds ratio [OR], 2.59; 95% CI, 1.06-6.29; moderate quality). Self-sampling for sexually transmitted infections increased test uptake compared with facility-based testing (7 studies: pooled OR, 1.74; 95% CI, 0.97-3.12; moderate quality). Conclusions. Testing outside of clinics increased test uptake without significant adverse outcomes. These testing approaches provide an opportunity to expand access and empower patients. Further implementation research, scale-up of effective service delivery models, and policies in LMIC settings are needed.
Keyphrases
- case control
- primary care
- healthcare
- systematic review
- quality improvement
- mental health
- human immunodeficiency virus
- hepatitis c virus
- hiv infected
- antiretroviral therapy
- physical activity
- metabolic syndrome
- machine learning
- gene expression
- hiv positive
- palliative care
- high intensity
- ejection fraction
- chronic pain
- meta analyses
- dna methylation
- prognostic factors
- study protocol
- pain management