Medical Library and Information Sciences, School of Health Management and Medical Information Science, Iran University of Medical Sciences, Tehran, Iran.
Department of Medical Library and Information Sciences, School of Health Management and Medical Information Science, Iran University of Medical Sciences, Rashid Yasmin Street, Upper than Mirdamad St., Tehran, Iran.
BMC Health Serv Res. 2024 Mar 7;24(1):309. doi: 10.1186/s12913-024-10764-z.
The development and use of digital tools in various stages of research highlight the importance of novel open science methods for an integrated and accessible research system. The objective of this study was to design and validate a conceptual model of open science on healthcare research processes.
This research was conducted in three phases using a mixed-methods approach. The first phase employed a qualitative method, namely purposive sampling and semi-structured interview guides to collect data from healthcare researchers and managers. Influential factors of open science on research processes were extracted for refining the components and developing the proposed model; the second phase utilized a panel of experts and collective agreement through purposive sampling. The final phase involved purposive sampling and Delphi technique to validate the components of the proposed model according to researchers' perspectives.
From the thematic analysis of 20 interview on the study topic, 385 codes, 38 sub-themes, and 14 main themes were extracted for the initial proposed model. These components were reviewed by expert panel members, resulting in 31 sub-themes, 13 main themes, and 4 approved themes. Ultimately, the agreed-upon model was assessed in four layers for validation by the expert panel, and all the components achieved a score of > 75% in two Delphi rounds. The validated model was presented based on the infrastructure and culture layers, as well as supervision, assessment, publication, and sharing.
To effectively implement these methods in the research process, it is essential to create cultural and infrastructural backgrounds and predefined requirements for preventing potential abuses and privacy concerns in the healthcare system. Applying these principles will lead to greater access to outputs, increasing the credibility of research results and the utilization of collective intelligence in solving healthcare system issues.
数字工具在研究的各个阶段的开发和使用凸显了新颖的开放科学方法对于集成和可及的研究系统的重要性。本研究旨在设计和验证一个关于医疗保健研究过程的开放科学概念模型。
本研究采用混合方法，分三个阶段进行。第一阶段采用定性方法，即目的抽样和半结构化访谈指南，从医疗保健研究人员和管理人员那里收集数据。提取开放科学对研究过程的影响因素，以细化组件并开发拟议模型；第二阶段采用专家小组和目的抽样的集体协议。第三阶段采用目的抽样和 Delphi 技术，根据研究人员的观点验证拟议模型的组成部分。
从对研究主题的 20 次访谈的主题分析中，提取了 385 个代码、38 个子主题和 14 个主要主题，用于初始提出的模型。这些组件由专家小组成员审查，得出 31 个子主题、13 个主要主题和 4 个批准主题。最终，经专家小组评估，同意的模型在四层进行验证，两轮 Delphi 中所有组件的得分均>75%。根据基础设施和文化层以及监督、评估、出版和共享，验证后的模型被呈现出来。
为了在研究过程中有效实施这些方法，必须在医疗保健系统中创建文化和基础设施背景以及预定义的要求，以防止潜在的滥用和隐私问题。应用这些原则将导致更多地访问产出，提高研究结果的可信度，并利用集体智慧解决医疗保健系统问题。
