NHS 国家数据选择退出:趋势及对健康数据研究的潜在影响。

IF 2.5 Q2 PRIMARY HEALTH CARE BJGP Open Pub Date : 2024-10-29 Print Date: 2024-10-01 DOI:10.3399/BJGPO.2024.0020
John Tazare, Alasdair D Henderson, Jessica Morley, Helen A Blake, Helen I McDonald, Elizabeth J Williamson, Helen Strongman
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引用次数: 0

摘要

背景:英国国家医疗服务系统(NHS)的数据选择退出允许人们阻止将其健康数据用于直接医疗以外的目的。目标:描述 2021 年 NHS 国家数据选择退出对健康数据研究的潜在影响:我们利用公开数据对选择退出进行了描述性分析,并讨论了对研究的潜在影响:按年龄、性别和地区描述了英格兰的退出趋势。通过一项假设研究,我们探讨了选择退出的统计和流行病学影响:在政府主导的登记退出的关键截止日期(从 2021 年 5 月 31 日到 2021 年 6 月 30 日)之前,共记录了 1,339,862 次全国数据退出;英格兰退出数据的人口比例从 2.77% 增加到 4.97%。在女性中,选择退出的比例增加了 83%(从 3.02% 增加到 5.53%),而在男性中则增加了 75%(2.51%-4.41%)。在各年龄组中,40-49 岁人群的相对增幅最大,从 2.89%增至 6.04%。巨大的地域差异与贫困程度没有明显关系。选择退出的主要研究后果包括样本量的减少,以及对健康事件频率或这些事件之间关联的观测指标的不可预测的扭曲:退出率因年龄、性别和地区而异。这种情况以及其他特征的变化对研究的影响无法量化。在制定未来的 "退出 "解决方案时,必须考虑到 "退出 "对研究的潜在影响以及在此研究基础上制定的卫生政策的后果。
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NHS national data opt-outs: trends and potential consequences for health data research.

Background: The English NHS data opt-out allows people to prevent use of their health data for purposes other than direct care. In 2021, the number of opt-outs increased in response to government-led proposals to create a centralised pseudonymised primary care record database.

Aim: To describe the potential impact of NHS national data opt-outs in 2021 on health data research.

Design & setting: We conducted a descriptive analysis of opt-outs using publicly available data and the potential consequences on research are discussed.

Method: Trends in opt-outs in England were described by age, sex, and region. Using a hypothetical study, we explored statistical and epidemiological implications of opt-outs.

Results: During the lead up to a key government-led deadline for registering opt-outs (from 31 May 2021-30 June 2021), 1 339 862 national data opt-outs were recorded; increasing the percentage of opt-outs in England from 2.77% to 4.97% of the population. Among females, percentage opt-outs increased by 83% (from 3.02% to 5.53%) compared with 76% in males (from 2.51% to 4.41%). Across age groups, the highest relative increase was among people aged 40-49 years, which rose from 2.89% to 6.04%. Considerable geographical variation was not clearly related to deprivation. Key research consequences of opt-outs include reductions in sample size and unpredictable distortion of observed measures of the frequency of health events or associations between these events.

Conclusion: Opt-out rates varied by age, sex, and place. The impact of this and variation by other characteristics on research is not quantifiable. Potential effects of opt-outs on research and consequences for health policies based on this research must be considered when creating future opt-out solutions.

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来源期刊
BJGP Open
BJGP Open Medicine-Family Practice
CiteScore
5.00
自引率
0.00%
发文量
181
审稿时长
22 weeks
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