Evidence map›Paper›PMID 29544510›Full record

Trial reportHealth research policy and systems2018

A comparative evaluation of PDQ-Evidence.

Marit Johansen, Gabriel Rada, Sarah Rosenbaum, Elizabeth Paulsen, Nkengafac Villyen Motaze, Newton Opiyo, Charles S Wiysonge, Yunpeng Ding, Fidele K Mukinda, Andrew D Oxman

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Health research policy and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Marit JohansenGlobal Health Cluster, Norwegian Institute of Public Health, PO Box 4404, Nydalen, N-0403, Oslo, Norway. marit.johansen@fhi.no.ORCID http://orcid.org/0000-0002-0116-7828
Gabriel RadaEpistemonikos Foundation, Santiago, Chile.
Sarah RosenbaumCentre for Informed Health Choices, Norwegian Institute of Public Health, Oslo, Norway.
Elizabeth PaulsenGlobal Health Cluster, Norwegian Institute of Public Health, PO Box 4404, Nydalen, N-0403, Oslo, Norway.
Nkengafac Villyen MotazeDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Newton OpiyoCochrane Editorial Unit, Cochrane, London, United Kingdom.
Charles S WiysongeDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Yunpeng DingUnit for Preventive, Health Promotion and Organisation of Care, Norwegian Institute of Public Health, Oslo, Norway.
Fidele K MukindaSchool of Public Health, University of the Western Cape, Cape Town, South Africa.
Andrew D OxmanCentre for Informed Health Choices, Norwegian Institute of Public Health, Oslo, Norway.

Funding

The European Commission's 7th Framework Programme 222881
6 · The paper itself

Abstract

backgroundA strategy for minimising the time and obstacles to accessing systematic reviews of health system evidence is to collect them in a freely available database and make them easy to find through a simple 'Google-style' search interface. PDQ-Evidence was developed in this way. The objective of this study was to compare PDQ-Evidence to six other databases, namely Cochrane Library, EVIPNet VHL, Google Scholar, Health Systems Evidence, PubMed and Trip.

methodsWe recruited healthcare policy-makers, managers and health researchers in low-, middle- and high-income countries. Participants selected one of six pre-determined questions. They searched for a systematic review that addressed the chosen question and one question of their own in PDQ-Evidence and in two of the other six databases which they would normally have searched. We randomly allocated participants to search PDQ-Evidence first or to search the two other databases first. The primary outcomes were whether a systematic review was found and the time taken to find it. Secondary outcomes were perceived ease of use and perceived time spent searching. We asked open-ended questions about PDQ-Evidence, including likes, dislikes, challenges and suggestions for improvements.

resultsA total of 89 people from 21 countries completed the study; 83 were included in the primary analyses and 6 were excluded because of data errors that could not be corrected. Most participants chose PubMed and Cochrane Library as the other two databases. Participants were more likely to find a systematic review using PDQ-Evidence than using Cochrane Library or PubMed for the pre-defined questions. For their own questions, this difference was not found. Overall, it took slightly less time to find a systematic review using PDQ-Evidence. Participants perceived that it took less time, and most participants perceived PDQ-Evidence to be slightly easier to use than the two other databases. However, there were conflicting views about the design of PDQ-Evidence.

conclusionsPDQ-Evidence is at least as efficient as other databases for finding health system evidence. However, using PDQ-Evidence is not intuitive for some people.

trial registrationThe trial was prospectively registered in the ISRCTN registry 17 April 2015. Registration number: ISRCTN12742235 .

Indexed as

Access to InformationDatabases, FactualResearchReview Literature as TopicSearch EngineAdministrative PersonnelAttitudeEfficiencyEvidence-Based MedicineHumansResearch PersonnelBibliographic databasesClearing houseComparative studyDatabase searchingEvidence-informed health policyHealth policyHealth systemsInformation retrievalSearch engineSearch strategiesSystematic reviews

Identifiers

PMID29544510
PMCPMC5856385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.