Suppr超能文献

公众和患者参与健康数据治理 (DATAGov):一项以人为中心的、混合方法研究的方案,旨在探讨用于罕见病护理和研究的数据使用和共享。

Public and patient involvement in health data governance (DATAGov): protocol of a people-centred, mixed-methods study on data use and sharing for rare diseases care and research.

机构信息

EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal

Centre for Research and Studies in Sociology, University Institute of Lisbon (ISCTE-IUL), Lisboa, Portugal.

出版信息

BMJ Open. 2021 Mar 15;11(3):e044289. doi: 10.1136/bmjopen-2020-044289.

Abstract

INTRODUCTION

International policy imperatives for the public and patient involvement in the governance of health data coexist with conflicting cross-border policies on data sharing. This can challenge the planning and implementation of participatory data governance in healthcare services locally. Engaging with local stakeholders and understanding how their needs, values and preferences for governing health data can be articulated with policies made at the supranational level is crucial. This paper describes a protocol for a project that aims to coproduce a people-centred model for involving patients and the public in decision-making processes about the use and sharing of health data for rare diseases care and research.

METHODS AND ANALYSIS

This multidisciplinary project draws on an explanatory sequential mixed-methods study. A hospital-based survey with patients, informal carers, health professionals and technical staff recruited at two reference centres for rare diseases in Portugal will be conducted first. The qualitative study will follow consisting of semi-structured interviews and scenario-based workshops with a subsample of the participant groups recruited at baseline. Quantitative data will be analysed using descriptive and inferential statistics. Inductive and deductive approaches will be combined to analyse the qualitative interviews. Data from scenario-based workshops will be iteratively compared using the constant comparison method to identify cross-cutting themes and categories.

ETHICS AND DISSEMINATION

The Ethics Committee for Health from the University Hospital Centre São João/Faculty of Medicine of University of Porto approved the study protocol (Ref. 99/19). Research findings will be disseminated at academic conferences and science promotion events, and through public meetings involving patient representatives, practitioners, policy-makers and students, a project website and peer-reviewed journal publications.

摘要

简介

公众和患者参与健康数据治理的国际政策要求与跨境数据共享的冲突政策并存。这可能会对当地医疗服务中参与式数据治理的规划和实施构成挑战。与当地利益相关者接触并了解他们对治理健康数据的需求、价值观和偏好如何与超国家层面制定的政策相协调至关重要。本文描述了一个旨在共同制定一个以患者和公众为中心的模式的项目的方案,该模式涉及参与决策过程,以决定如何使用和共享健康数据来进行罕见病护理和研究。

方法和分析

这个多学科项目借鉴了解释性顺序混合方法研究。首先在葡萄牙的两个罕见病参考中心,对患者、非正式照顾者、卫生专业人员和技术人员进行基于医院的调查。随后将进行定性研究,包括对基线时招募的参与者群体的亚样本进行半结构式访谈和基于情景的研讨会。使用描述性和推断性统计方法分析定量数据。将结合归纳和演绎方法来分析基于情景的研讨会的数据。使用不断比较的方法,迭代比较情景式工作坊的数据,以确定交叉主题和类别。

伦理和传播

波尔图大学圣若昂医院中心的卫生伦理委员会批准了该研究方案(参考号 99/19)。研究结果将在学术会议和科学推广活动中以及通过涉及患者代表、从业者、政策制定者和学生的公众会议、项目网站和同行评议期刊出版物传播。

相似文献

引用本文的文献

4
Delivering Digital Health Solutions that Patients Need: A Call to Action.提供患者所需的数字健康解决方案:行动呼吁。
Ther Innov Regul Sci. 2024 Mar;58(2):236-241. doi: 10.1007/s43441-023-00592-4. Epub 2023 Dec 11.

本文引用的文献

7

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验