SynthesisBMJ global health2025
Implementation strategies to increase the uptake and impact of molecular WHO-recommended rapid diagnostic tests: evidence from a mixed-methods systematic review.
Synthesis in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementation determinants of rapid diagnostic tests for fever management in sub-Saharan Africa: a mixed-studies systematic review.Nature communications · 2026Pooled it
- Prevalence of active pulmonary tuberculosis in Hainan, China: a population-based, cross-sectional survey.BMC infectious diseases · 2026Article
- Key operational challenges at a programmatic level to achieve optimal use of the GeneXpert platform.IJTLD open · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
introductionFewer than 50% of people with tuberculosis receive a molecular WHO-recommended rapid diagnostic test (mWRD). We performed a mixed-methods systematic review to categorise barriers and enablers that affect mWRD use and impact and evaluate mWRD implementation strategies. Parts of this review informed the WHO standard: Universal Access to Tuberculosis Diagnostics.
methodsWe searched multiple databases without language restrictions until 29 July 2022. We included studies that used qualitative, quantitative or mixed methods study designs. Four reviewers independently screened studies and extracted data. We categorised studies as thick or thin depending on whether authors analysed findings beyond a descriptive list of barriers or enablers and demonstrated insights into participants' perspectives. We appraised study quality by adapting the Standards for Reporting Implementation Studies statement. We synthesised data using a thematic approach and used GRADE-CERQual to assess confidence in the findings.
resultsWe identified 54 high-thickness studies from 18 countries, including public and private healthcare settings. Implementation strategies included engaging patients, training and supporting clinicians, building infrastructure and interactive assistance. Examples included remote outreach programmes, community testing, longitudinal clinician engagement, auxiliary workers, multicomponent strategies, performance feedback, improving health information management to strengthen care linkage and diagnostic network improvement. We had high or moderate confidence in our findings.
conclusionInnovative and contextually relevant implementation strategies are needed for tuberculosis programmes to realise the benefits of improved accuracy and diagnostic expediency that mWRDs offer. Multicomponent strategies that centre equity and longitudinal health worker training across the diagnostic cascade must be prioritised.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.