Evidence map›Paper›PMID 26366129›Full record

ArticlePoint of care2015

Barriers to Implementation of Rapid and Point-of-Care Tests for Human Immunodeficiency Virus Infection: Findings From a Systematic Review (1996-2014).

Nitika Pant Pai, Samantha Wilkinson, Roni Deli-Houssein, Rohit Vijh, Caroline Vadnais, Tarannum Behlim, Marc Steben, Nora Engel, Tom Wong

Abstract read
In one paragraph

Article in Point of care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nitika Pant PaiDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Samantha WilkinsonDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Roni Deli-HousseinDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Rohit VijhDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Caroline VadnaisDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Tarannum BehlimDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Marc StebenDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Nora EngelDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Tom WongDepartment of Medicine, McGill University; †Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre; ‡INSPQ, Montreal, Quebec, Canada; §Department of Health, Ethics & Society, Research School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; and ∥Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implementation of human immunodeficiency virus rapid and point-of-care tests (RDT/POCT) is understood to be impeded by many different factors that operate at 4 main levels-test devices, patients, providers, and health systems-yet a knowledge gap exists of how they act and interact to impede implementation. To fill this gap, and with a view to improving the quality of implementation, we conducted a systematic review.

methodsFive databases were searched, 16,672 citations were retrieved, and data were abstracted on 132 studies by 2 reviewers.

findingsAcross 3 levels (ie, patients, providers, and health systems), a majority (59%, 112/190) of the 190 barriers were related to the integration of RDT/POCT, followed by test-device-related concern (ie, accuracy) at 41% (78/190). At the patient level, a lack of awareness about tests (15/54, 28%) and time taken to test (12/54, 22%) dominated. At the provider and health system levels, integration of RDT/POCT in clinical workflows (7/24, 29%) and within hospitals (21/34, 62%) prevailed. Accuracy (57/78, 73%) was dominant only at the device level.

interpretationIntegration barriers dominated the findings followed by test accuracy. Although accuracy has improved during the years, an ideal implementation could be achieved by improving the integration of RDT/POCT within clinics, hospitals, and health systems, with clear protocols, training on quality assurance and control, clear communication, and linkage plans to improve health outcomes of patients. This finding is pertinent for a future envisioned implementation and global scale-up of RDT/POCT-based initiatives.

Indexed as

barriersHIVimplementation researchpoint-of-care testsrapid

Identifiers

PMID26366129
PMCPMC4549862

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.