Dissenting from care.data: an analysis of opt-out forms

Author:

Vezyridis ParaskevasORCID,Timmons Stephen

Abstract

BackgroundCare.data was a programme of work led by NHS England for the extraction of patient-identifiable and coded information from general practitioner (GP) records for secondary uses. This study analyses the forms (on the websites of GP practices) which enabled patients to opt out.MethodsTheoretical sampling and summative content analysis were used to collect and analyse dissent forms used by patients to opt out from care.data. Domains included basic information about the programme, types of objections and personal details required for identification purposes.ResultsOne hundred opt-out forms were analysed. Fifty-four forms mentioned that this programme was run by NHS England. 81 forms provided two types of objections to data-sharing, and 15 provided only one objection. Only 26 forms mentioned that direct care would not be affected and 32 that patients maintain their right to opt back anytime. All but one of the opt-out forms we reviewed requested the name of the person wishing to opt out. 94 required a date of birth and 33 an NHS number. 82 required an address, 42 a telephone number and 7 an email address.ConclusionsNumbers of patients (not) opting out should be treated with caution, because the variability of information provided and the varied options for dissent may have caused confusion among patients. To ensure that dissent is in accordance with individual preferences and moral values, we recommend that well-designed information material and standardised opt-out forms be developed for such data-sharing initiatives.

Funder

Research Executive Agency

Publisher

BMJ

Subject

Health Policy,Arts and Humanities (miscellaneous),Issues, ethics and legal aspects,Health (social science)

Reference46 articles.

1. Data Resource Profile: Clinical Practice Research Datalink (CPRD)

2. Gnani S , Azeem M . A user's guide to data collected in primary care in England. Imperial College London: Eastern Region Public Health Observatory (erpho) on behalf of the Association of Public Health Observatories, 2006. http://www1.imperial.ac.uk/resources/579D8B09-C1C1-4026-A7BE-C3E936EE9567/ (accessed 15 Oct 2015).

3. Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

4. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives

5. The Read clinical classification.

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3