Evidence map›Paper›PMID 30782671›Full record

ArticleBMJ open2019

Comprehensive overview of computer-based health information tailoring: a systematic scoping review.

Azadeh Kamel Ghalibaf, Elham Nazari, Mahdi Gholian-Aval, Mahmood Tara

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Tailored interventions to address determinants of practice.The Cochrane database of systematic reviews · 2026
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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

4 authors.

Azadeh Kamel GhalibafDepartment of Medical Informatics, Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, The Islamic Republic of Iran.
Elham NazariDepartment of Medical Informatics, Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, The Islamic Republic of Iran.
Mahdi Gholian-AvalDepartment of Health Education and Health Promotion, School of Health, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, The Islamic Republic of Iran.
Mahmood TaraDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, The Islamic Republic of Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the scope of the published literature on computer-tailoring, considering both the development and the evaluation aspects, with the aim of identifying and categorising main approaches and detecting research gaps, tendencies and trends.

settingOriginal researches from any country and healthcare setting.

participantsPatients or health consumers with any health condition regardless of their specific characteristics.

methodA systematic scoping review was undertaken based on the York's five-stage framework outlined by Arksey and O'Malley. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE for articles published between 1990 and 2017. Tailoring concept was investigated for three aspects: system design, information delivery and evaluation. Both quantitative (ie, frequencies) and qualitative (ie, theme analysis) methods have been used to synthesis the data.

resultsAfter reviewing 1320 studies, 360 articles were identified for inclusion. Two main routes were identified in tailoring literature including public health research (64%) and computer science research (17%). The most common facets used for tailoring were sociodemographic (73 %), target behaviour status (59%) and psycho-behavioural determinants (56%), respectively. The analysis showed that only 13% of the studies described the tailoring algorithm they used, from which two approaches revealed: information retrieval (12%) and natural language generation (1%). The systematic mapping of the delivery channel indicated that nearly half of the articles used the web (57%) to deliver the tailored information; printout (19%) and email (10%) came next. Analysis of the evaluation approaches showed that nearly half of the articles (53%) used an outcome-based approach, 44% used process evaluation and 3% assessed cost-effectiveness.

conclusionsThis scoping review can inform researchers to identify the methodological approaches of computer tailoring. Improvements in reporting and conduct are imperative. Further research on tailoring methodology is warranted, and in particular, there is a need for a guideline to standardise reporting.

Indexed as

Health PromotionHealth Services Needs and DemandHumansMedical Records Systems, ComputerizedPatient Education as Topichealth informaticsinformation technologypublic health

Identifiers

PMID30782671
PMCPMC6340008

What OpenQuestion holds

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LicenceCC BY-NC
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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.