Evidence map›Paper›PMID 30287611›Full record

ArticleBMJ open2018

Health information technology uses for primary prevention in preventive medicine: a scoping review protocol.

Abrar Alturkistani, Azeem Majeed, Josip Car, David Brindley, Glenn Wells, Edward Meinert

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
0.9field-weighted citation impact, top 16% of its field
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, 6 citations in OpenAlex.

  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

6 authors at 3 institutions in 1 country.

Abrar AlturkistaniGlobal Digital Health Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.
Azeem MajeedDepartment of Primary Care and Public Health, Imperial College London, London, UK.ORCID 0000-0002-2357-9858
Josip CarGlobal Digital Health Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.
David BrindleyHealthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, UK.
Glenn WellsOxford Academic Health Science Centre, Oxford, UK.
Edward MeinertGlobal Digital Health Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.ORCID 0000-0003-2484-3347
Imperial College London · GBUniversity of Oxford · GBOxford Academic Health Science Network · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of health information technologies (HITs) has been associated with positive benefits such as improved health outcomes and improved health services. Results from empirical studies reported potential benefits of HITs in preventive medicine measures such as primary prevention. This review will examine the broad range of HITs and their uses and effectiveness in primary prevention. METHODS AND ANALYSIS: We will conduct searches in relevant databases (MEDLINE, EMBASE, the Cochrane Methodology Register, Cochrane Database of Systematic Reviews, CINAHL, SCOPUS and Web of Science) using Arksey and O'Malley's scoping review methodology. The scoping review will include all study designs to identify the literature on HIT uses. Two reviewers will independently screen the literature following our screening criteria and using a data abstraction form. Findings will be summarised quantitatively (using numerical counts of HITs) and qualitatively (using narrative synthesis). ETHICS AND DISSEMINATION: The study will synthesise data from published literature and will not require an ethical approval. The results of the review will be disseminated through a peer-reviewed journal.

Indexed as

Medical InformaticsPreventive Health ServicesPrimary PreventionTelemedicineHumansPublic HealthResearch DesignScoping Reviews as Topicdigital healthhealth information technologiespreventive medicinepublic health

Identifiers

PMID30287611
PMCPMC6173258
OpenAlexW2895367807

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.