Principles of Industry-Academic Partnerships Informed by Digital Mental Health Collaboration: Mixed Methods Study.

IF 5.8 2区 医学 Q1 PSYCHIATRY
Jmir Mental Health Pub Date : 2025-09-10 DOI:10.2196/77439
Sophie S Hall, Olivia Hastings, Kelly Marie Prentice, Beverley Brown, Jacob Andrews, Sonal Marner, Rebecca Woodcock, Jennifer Martin, Charlotte L Hall
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引用次数: 0

Abstract

Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.

Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors. Mental health served as a motivating example due to its urgent public health relevance and the growing role of digital innovation.

Methods: Using a 3-stage, mixed-methods approach, we conducted a web-based survey of UK-based digital mental health companies (N=22) to identify key barriers and facilitators to industry-academic partnerships. This was followed by 2 focus groups (n=5) that explored emerging themes from the survey using thematic analysis. Finally, we conducted a workshop with industry representatives, researchers, clinicians, and PPI members to co-develop the Principles of Industry-Academic Partnerships (PIP) guidance.

Results: Survey findings highlighted that industry partners valued academic collaboration for enhancing credibility, facilitating knowledge transfer, and gaining access to PPI networks. However, key barriers included high costs, slow academic timelines, and complex contracting processes. The 4 major themes that emerged from the focus groups were: advantages of collaboration, cultural differences between organizations, collaboration models, and structural barriers within universities. Through informed discussions in the workshop, these themes were explored, leading to the development of 14 actionable strategies. These strategies reflect industry perspectives and formed the PIP guidance, categorized under project initiation, defining the scope and agreements, project execution, and promoting sustainability.

Conclusions: The PIP guidance provides a practical framework to support more effective and mutually beneficial collaborations between industry and academia. Developed through the lens of mental health research, the strategies identified are broadly applicable across disciplines where cross-sector partnerships are essential. Industry partners valued academic collaborations for their credibility and scientific rigor, but highlighted persistent structural and cultural barriers within universities. Addressing these challenges by aligning expectations and timelines, adopting flexible collaboration models, and streamlining operational processes can help foster impactful and sustainable partnerships in mental health and beyond.

数字化心理健康协作的产学研合作原则:混合方法研究。
背景:人们日益认识到,跨部门协作对于应对复杂的卫生挑战,包括精神卫生挑战至关重要。产学研伙伴关系在推进研究和制定卫生解决方案方面发挥着至关重要的作用,但不同的优先事项和观点可能使合作变得复杂。目的:本研究旨在从行业合作伙伴的角度,确定支持有效的产学研合作的关键原则,并将其发展为可操作的指导方针,可跨部门应用。精神卫生是一个鼓舞人心的例子,因为它与公共卫生息息相关,而且数字创新的作用越来越大。方法:采用三阶段混合方法,我们对英国的数字心理健康公司(N=22)进行了一项基于网络的调查,以确定产学研合作的主要障碍和促进因素。随后是2个焦点小组(n=5),他们使用主题分析来探索调查中出现的主题。最后,我们与行业代表、研究人员、临床医生和PPI成员举行了一次研讨会,共同制定行业-学术伙伴关系原则(PIP)指南。结果:调查结果强调,行业合作伙伴重视学术合作,以提高可信度,促进知识转移,并获得PPI网络。然而,主要的障碍包括高成本、缓慢的学术时间表和复杂的合同流程。从焦点小组中出现的4个主要主题是:合作的优势、组织之间的文化差异、合作模式和大学内部的结构障碍。通过研讨会上知情的讨论,对这些主题进行了探讨,从而制定了14项可操作的战略。这些策略反映了行业的观点,形成了PIP指南,分为项目启动、定义范围和协议、项目执行和促进可持续性。结论:PIP指南提供了一个实用框架,以支持工业界和学术界之间更有效和互利的合作。所确定的战略是通过精神卫生研究制定的,在跨部门伙伴关系至关重要的领域广泛适用于各个学科。行业合作伙伴重视学术合作的可信性和科学严谨性,但强调了大学内部持续存在的结构和文化障碍。通过调整期望和时间表、采用灵活的协作模式以及精简业务流程来应对这些挑战,有助于在精神卫生及其他领域建立有影响力和可持续的伙伴关系。
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来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
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