数字健康信息搜索(DHIS)行为的决定因素:用医疗保健行为结构扩展UTAUT

IF 0.6 Q4 Health Professions Asia Pacific Journal of Health Management Pub Date : 2023-04-08 DOI:10.24083/apjhm.v18i1.1685
Surya Neeragatti, R. Dehury, N. Sripathi
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引用次数: 0

摘要

引言:随着大量数字健康信息内容的可用性增加,数字健康信息搜索(DHIS)的普及率也在提高。本文通过将UTAUT模型扩展到健康行为结构,如健康意识、对健康信息的态度和对DHI的信任,探讨了影响公众对DHIS意图的决定因素。调查表格采用滚雪球抽样技术在网上平台上分发。对345个最终样本进行了分析,并在SPSS v.26和AMOS v.26的帮助下使用结构方程建模(SEM)进行数据分析。结果:样本人口统计显示,60%的受访者有5年的智能手机使用经验,70%的受访者每天使用智能手机1至6小时。我们看到花在数字健康信息(DHI)上的时间减少了。在搜索DHI时,受访者使用谷歌/其他浏览器,在分享时,WhatsApp是最常用的应用程序。在SPSS中检查量表的可靠性,结果所有量表的Cronbachα值均大于0.7。假设检验的结果是,所有的结构都显示出显著的关系。我们发现,绩效预期、社会影响力和对DHI的信任与DHIS的意图有着强烈的显著关系。结论:本研究通过添加技术接受模型和健康结构的组合,扩展了信息系统采用研究的文献。影响DHIS意向的因素是可访问性、来自同伴的影响和信息可靠性。这项研究表明,有效的医疗保健提供者对真正的DHI的重要性和必要性,其中医疗保健信息的创建者,如政府和私人医疗保健提供者,必须更加自觉。
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Determinants of Digital Health Information Search (DHIS) Behaviour: Extending UTAUT with healthcare behaviour constructs
Introduction: As the availability of huge amounts of digital health information content increases, the popularity of Digital Health Information Search (DHIS) has increased. This paper explores the determinants that influence the intention to DHIS by the public by extending the UTAUT model with health behaviour constructs like health consciousness, attitude towards health information, and trust in DHI. Method: The instrument was created by adapting scales from previous studies. Survey forms were circulated through online platforms with the snowball sampling technique. With the 345 finalized sample, analysis was carried out, and structural equation modelling (SEM) is used for data analysis with the help of SPSS v.26 and AMOS v.26. Results: Sample demographics show that 60% of the respondents have experience of 5 years in using smartphones, and 70% of respondents use the smartphone from 1 to 6 hours per day. We see that less time was spent on digital health information (DHI). For searching DHI, respondents use Google/other browsers and for sharing it, WhatsApp is the most used app. The reliability of scales was checked in SPSS, which resulted in Cronbach's alpha value greater than 0.7 for all scales. The hypothesis testing resulted in all the constructs showing a significant relationship. We see that performance expectancy, social influence, and trust in DHI showed a strong significant relation with the intention to DHIS. Conclusion: This study extends the literature in information systems adoption studies by adding a combination of the technology acceptance model with health constructs. Factors influencing the intention to DHIS are accessibility, influence from peers, and information reliability are more concerned. This study shows the importance and need for genuine DHI from valid healthcare providers, in which the creators of healthcare information, like Government and private healthcare providers, have to be more conscious.
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来源期刊
Asia Pacific Journal of Health Management
Asia Pacific Journal of Health Management HEALTH POLICY & SERVICES-
CiteScore
1.10
自引率
16.70%
发文量
51
审稿时长
9 weeks
期刊最新文献
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