» Articles » PMID: 30782671

Comprehensive Overview of Computer-based Health Information Tailoring: a Systematic Scoping Review

Overview
Journal BMJ Open
Specialty General Medicine
Date 2019 Feb 21
PMID 30782671
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: To 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.

Setting: Original researches from any country and healthcare setting.

Participants: Patients or health consumers with any health condition regardless of their specific characteristics.

Method: A 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.

Results: After 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.

Conclusions: This 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.

Citing Articles

mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps.

Zou N, Xie B, He D, Hilsabeck R, Aguirre A JMIR Aging. 2024; 7:e58517.

PMID: 39621936 PMC: 11617330. DOI: 10.2196/58517.


A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial.

Ownby R, Simonson M, Caballero J, Thomas-Purcell K, Davenport R, Purcell D J Ageing Longev. 2024; 4(2):51-71.

PMID: 39555133 PMC: 11567679. DOI: 10.3390/jal4020005.


Facilitators and barriers of digital health technologies implementation in hospital settings in lower-income and middle-income countries since the COVID-19 pandemic: a scoping review protocol.

Yew S, Trivedi D, Adanan N, Chew B BMJ Open. 2024; 14(1):e078508.

PMID: 38296272 PMC: 10831434. DOI: 10.1136/bmjopen-2023-078508.


Lessons Learned from Developing Tailored Community Communication Campaigns in the HEALing Communities Study.

Stein M, Krause C, Rodgers E, Silwal A, Helme D, Slater M J Health Commun. 2023; 28(10):699-705.

PMID: 37752882 PMC: 10591725. DOI: 10.1080/10810730.2023.2262948.


A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial.

Ownby R, Waldrop D, Davenport R, Simonson M, Caballero J, Thomas-Purcell K medRxiv. 2023; .

PMID: 37066256 PMC: 10104214. DOI: 10.1101/2023.04.01.23288020.


References
1.
Kamel Ghalibaf A, Nazari E, Gholian-Aval M, Tabesh H, Tara M . Comprehensive overview of computer-based health information tailoring: a scoping review protocol. BMJ Open. 2017; 7(12):e019215. PMC: 5770833. DOI: 10.1136/bmjopen-2017-019215. View

2.
Cunningham J, Humphreys K, Koski-Jannes A . Providing personalized assessment feedback for problem drinking on the Internet: a pilot project. J Stud Alcohol. 2001; 61(6):794-8. DOI: 10.15288/jsa.2000.61.794. View

3.
Edwards A, Naik G, Ahmed H, Elwyn G, Pickles T, Hood K . Personalised risk communication for informed decision making about taking screening tests. Cochrane Database Syst Rev. 2013; (2):CD001865. PMC: 6464864. DOI: 10.1002/14651858.CD001865.pub3. View

4.
Des Jarlais D, Lyles C, Crepaz N . Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health. 2004; 94(3):361-6. PMC: 1448256. DOI: 10.2105/ajph.94.3.361. View

5.
Yusof M, Kuljis J, Papazafeiropoulou A, Stergioulas L . An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). Int J Med Inform. 2007; 77(6):386-98. DOI: 10.1016/j.ijmedinf.2007.08.011. View