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评估全国代表性调查中健康信息搜索行为的测量工具的特征:系统评价。

Characteristics of the Measurement Tools for Assessing Health Information-Seeking Behaviors in Nationally Representative Surveys: Systematic Review.

机构信息

Department of Nursing Science, Nambu University, Gwangju, Republic of Korea.

College of Nursing, Chonnam National University, Gwangju, Republic of Korea.

出版信息

J Med Internet Res. 2021 Jul 26;23(7):e27539. doi: 10.2196/27539.

DOI:10.2196/27539
PMID:34309573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8367171/
Abstract

BACKGROUND

The coronavirus pandemic (COVID-19) has also emerged as an infodemic, thereby worsening the harm of the pandemic. This situation has highlighted the need for a deeply rooted understanding of the health information-seeking behaviors (HISBs) of people.

OBJECTIVE

The aim of this paper was to review and provide insight regarding methodologies and the construct of content in HISB surveys by answering the following research question: what are the characteristics of the measurement tools for assessing HISBs in nationally representative surveys around the world?

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses was used as the framework for this study. A data search was performed through 5 international and 2 Korean databases covering the years between 2008 and 2020. Initially, studies performed among nationally representative samples were included to discover HISB survey instruments. The methodologies of the studies using HISB surveys were analyzed. For content analysis, 2 researchers reached a consensus through discussion by scrutinizing the contents of each survey questionnaire.

RESULTS

A total of 13 survey tools from 8 countries were identified after a review of 2333 records from the search results. Five survey tools (Health Information National Trends Survey, Health Tracking Survey, Annenberg National Health Communication Survey, National Health Interview Survey, and Health Tracking Household Survey) from the United States, 2 instruments from Germany, and 1 tool from each of the countries of the European Union, France, Israel, Poland, South Korea, and Taiwan were identified. Telephone or web-based surveys were commonly used targeting the adult population (≥15 years of age). From the content analysis, the domains of the survey items were categorized as follows: information (information about health and patient medical records), channel (offline and online), and health (overall health, lifestyle, and cancer). All categories encompassed behavioral and attitude dimensions. A theoretical framework, that is, an information-channel-health structure for HISBs was proposed.

CONCLUSIONS

The results of our study can contribute to the development and implementation of the survey tools for HISB with integrated questionnaire items. This will help in understanding HISB trends in national health care.

摘要

背景

冠状病毒大流行(COVID-19)也成为了信息疫情,从而加重了大流行的危害。这种情况凸显了人们对健康信息搜索行为(HISB)进行深入了解的必要性。

目的

本文旨在通过回答以下研究问题,回顾并提供有关 HISB 调查方法和结构的见解:全球具有代表性的调查中评估 HISB 的测量工具的特点是什么?

方法

本研究采用系统评价和荟萃分析的首选报告项目作为框架。通过 5 个国际数据库和 2 个韩国数据库进行了数据搜索,涵盖了 2008 年至 2020 年期间的数据。最初,纳入了在全国代表性样本中进行的研究,以发现 HISB 调查工具。分析了使用 HISB 调查的研究方法。为了进行内容分析,通过仔细审查每个调查问卷的内容,两名研究人员通过讨论达成了共识。

结果

通过对搜索结果中的 2333 条记录进行审查,共确定了来自 8 个国家的 13 种调查工具。来自美国的 5 种调查工具(健康信息国家趋势调查、健康追踪调查、安纳伯格国家健康传播调查、全国健康访谈调查和健康追踪家庭调查)、来自德国的 2 种工具,以及来自欧盟国家、法国、以色列、波兰、韩国和中国台湾的每个国家/地区的 1 种工具。常用的调查方法是电话或网络调查,针对的是 15 岁及以上的成年人。通过内容分析,将调查项目的领域分为以下几类:信息(健康和患者病历信息)、渠道(线下和线上)和健康(整体健康、生活方式和癌症)。所有类别都包含行为和态度维度。提出了 HISB 的信息-渠道-健康结构理论框架。

结论

本研究的结果可以为 HISB 调查工具的开发和实施提供参考,有助于了解国家卫生保健中的 HISB 趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/c7fddb69abff/jmir_v23i7e27539_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/cd8b365cc610/jmir_v23i7e27539_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/f8f38b80bcdd/jmir_v23i7e27539_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/6afd54290c59/jmir_v23i7e27539_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/eefdd9d4f650/jmir_v23i7e27539_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/c7fddb69abff/jmir_v23i7e27539_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/cd8b365cc610/jmir_v23i7e27539_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/f8f38b80bcdd/jmir_v23i7e27539_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/6afd54290c59/jmir_v23i7e27539_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/eefdd9d4f650/jmir_v23i7e27539_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f93/8367171/c7fddb69abff/jmir_v23i7e27539_fig5.jpg

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