What predicts patients' interest in the Internet as a health resource in primary care in England?
What predicts patients' interest in the Internet as a health resource in primary care in England?
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DOI：
10.1258/13558190360468209
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发表时间：
2003-01-01
影响因子：
2.4
通讯作者：
Roland, Martin
中科院分区：
文献类型：
--
作者：
Mead, Nicola;Varnam, Robert;Roland, Martin
目的：为了确定哪些因素预测患者的兴趣，在使用互联网健康信息的光吸收差的免费，指导互联网服务，在一个内城generalpractice.METHODS：在五天的时间内，连续的成年患者参加两个曼彻斯特的一般做法：这是一个为相对贫困的病人群体服务的市中心诊所，在那里以前可以获得免费的互联网服务，和一个服务于相对富裕人群的郊区诊所。数据进行了分析，采用多元回归，以确定预测自我报告的兴趣，在使用互联网的健康information.Results：共753（74%）患者完成了问卷调查，虽然分析仅限于660（65%）例。患者报告的从互联网获取健康信息的兴趣的独立预测因素是（按相对“重要性”排序）：积极的预期结果（即患者相信这将使他们能够更好地处理自己的健康问题）;以前使用健康网站;积极的“自我效能”（即病人对自己使用技术的能力的信心）;高等教育;从其他来源获得健康信息的积极态度;社会剥夺;以及让学龄儿童住在家里。互联网接入水平是一个重要的决定因素，自我效能，但家庭访问的结果预期和过去使用的“电子健康”的关键预测因素：访问，人口统计，特别是，激励因素都影响患者的兴趣在互联网作为一种健康资源。鼓励更广泛地使用数字健康信息的建议需要考虑到这一复杂性，而不仅仅是处理获取问题。
OBJECTIVES: To identify what factors predict patients' interest in using Internet health information in the light of poor uptake of a free, guided Internet service in one inner-city general practice.METHODS: Questionnaires were administered over a five-day period to consecutive adult patients attending two Manchester general practices: an inner-city practice serving a relatively deprived patient population where the free Internet service had previously been available, and a suburban practice serving a relatively affluent population. Data were analysed using multiple regression to identify predictors of self-reported interest in using the Internet for health information.RESULTS: A total of 753 (74%) patients completed the questionnaire although analyses were restricted to 660 (65%) cases. Independent predictors of patient-reported interest in getting health information from the Internet were (in order of relative 'importance'): positive outcome expectancy (i.e. the patient's strength of belief that it would enable them to deal better with their health); previous use of health websites; positive 'self-efficacy' (i.e. patients' confidence in their ability to use the technology); higher education; a positive attitude to getting health information from alternative sources; social deprivation; and having school-age children living at home. Level of Internet access was an important determinant of self-efficacy, but home access was the key predictor of outcome expectancy and past use of 'e-health'.CONCLUSIONS: Access, demographics and, particularly, motivational factors all influence patients' interest in the Internet as a health resource. Proposals to encourage more widespread use of digital health information need to take account of this complexity and not deal with access issues alone.