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基于计算机的健康信息定制的综合概述:系统范围界定综述。

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

机构信息

Department of Medical Informatics, Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, The Islamic Republic of Iran.

Department of Health Education and Health Promotion, School of Health, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, The Islamic Republic of Iran.

出版信息

BMJ Open. 2019 Jan 9;9(1):e021022. doi: 10.1136/bmjopen-2017-021022.

DOI:10.1136/bmjopen-2017-021022
PMID:30782671
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6340008/
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.

摘要

目的

探讨计算机定制化文献的范围,既考虑开发方面,也考虑评估方面,旨在识别和分类主要方法,并发现研究空白、趋势和动向。

设定

来自任何国家和医疗保健环境的原始研究。

参与者

任何健康状况的患者或健康消费者,无论其具体特征如何。

方法

根据 Arksey 和 O'Malley 概述的 York 五阶段框架进行了系统范围的审查。在 1990 年至 2017 年期间,在五个主要数据库(PubMed、Scopus、Science Direct、EBSCO 和 IEEE)中搜索了文章。对定制化概念进行了三个方面的研究:系统设计、信息传递和评估。使用了定量(即频率)和定性(即主题分析)方法来综合数据。

结果

在审查了 1320 项研究后,确定了 360 篇文章纳入研究。文献中发现了两种定制化途径,包括公共卫生研究(64%)和计算机科学研究(17%)。最常用于定制化的方面分别是社会人口统计学(73%)、目标行为状态(59%)和心理行为决定因素(56%)。分析表明,只有 13%的研究描述了他们使用的定制化算法,其中两种方法是信息检索(12%)和自然语言生成(1%)。对传递渠道的系统映射表明,近一半的文章使用网络(57%)传递定制信息;其次是打印输出(19%)和电子邮件(10%)。对评估方法的分析表明,近一半的文章(53%)使用基于结果的方法,44%使用过程评估,3%评估成本效益。

结论

本范围综述可以为研究人员提供计算机定制化方法的信息。改进报告和实施至关重要。需要进一步研究定制化方法,特别是需要制定报告标准的指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/fbc1003e0129/bmjopen-2017-021022f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/408ce37a5dda/bmjopen-2017-021022f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/0251db30eb6c/bmjopen-2017-021022f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/ea7fc5cad4a9/bmjopen-2017-021022f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/b6fb4bb124ab/bmjopen-2017-021022f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/3855669393eb/bmjopen-2017-021022f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/fbc1003e0129/bmjopen-2017-021022f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/408ce37a5dda/bmjopen-2017-021022f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/0251db30eb6c/bmjopen-2017-021022f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/ea7fc5cad4a9/bmjopen-2017-021022f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/b6fb4bb124ab/bmjopen-2017-021022f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/3855669393eb/bmjopen-2017-021022f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/6340008/fbc1003e0129/bmjopen-2017-021022f06.jpg

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