Addressing methodological challenges in multiple long-term conditions research: A stakeholder workshop using a nominal group technique method.

IF 3
Journal of multimorbidity and comorbidity Pub Date : 2025-09-24 eCollection Date: 2025-01-01 DOI:10.1177/26335565251372222
Hajira Dambha-Miller, Glenn Simpson, Lucy Smith, James Finney, Salwa S Zghebi, Sarah E Hughes, Victoria L Keevil, Ge Yu, Clare MacRae, Kamlesh Khunti, Colin McCowan
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Abstract

Background: Multiple long-term conditions (MLTC) - which refer to the coexistence in an individual of two or more long-term conditions - are a growing global concern, causing significant strain on healthcare systems and increasing care costs. Research into MLTC is a strategic priority for healthcare services, policymakers and research funders.

Methods: To address these complexities, the UK's National Institute for Health and Care Research (NIHR) established the MLTC Cross-NIHR Collaboration (MLTC CNC) programme, to foster interdisciplinary collaboration and address key gaps in MLTC research. As part of this initiative, the Methodologies Workstream organised a two-day stakeholder workshop in March 2024 aimed at identifying current methodological challenges in MLTC research, prioritising key areas for improvement, and developing strategies to enhance research methodologies. The workshop employed a participatory and iterative approach, using structured presentations, facilitated group work, and the Nominal Group Technique (NGT) to promote cross-disciplinary collaboration and achieve consensus on key research priorities for MLTC.

Results: Twenty-three delegates attended the workshop from a range of institutions and sectors, including representatives from data science, epidemiology, clinical trials, quality improvement, social sciences, healthcare management, clinical practice, industry, patient advocacy groups, policymakers, patients, carers, and public representatives. The workshop identified critical knowledge gaps in MLTC research methodologies, including challenges with disease classification, data integration, analytical approaches, and the inclusion of diverse population subgroups.

Conclusion: By addressing these methodological gaps and fostering collaboration across disciplines, the MLTC research community can generate more rigorous, inclusive, and impactful evidence, ultimately improving healthcare delivery and patient outcomes.

解决多种长期条件研究中的方法论挑战:使用名义小组技术方法的利益相关者研讨会。
背景:多重长期疾病(MLTC)是指个体同时存在两种或两种以上的长期疾病,是一个日益受到全球关注的问题,给医疗保健系统造成了巨大压力,并增加了医疗费用。对MLTC的研究是医疗保健服务、政策制定者和研究资助者的战略重点。方法:为了解决这些复杂性,英国国家卫生与保健研究所(NIHR)建立了MLTC跨NIHR合作(MLTC CNC)计划,以促进跨学科合作并解决MLTC研究中的关键空白。作为该倡议的一部分,方法论工作流程于2024年3月组织了为期两天的利益相关者研讨会,旨在确定MLTC研究中当前的方法论挑战,优先考虑需要改进的关键领域,并制定战略以加强研究方法。研讨会采用了参与式和迭代式的方法,使用结构化的演讲、便利的小组工作和名义小组技术(NGT)来促进跨学科合作,并就MLTC的关键研究重点达成共识。结果:来自一系列机构和部门的23名代表参加了研讨会,包括来自数据科学、流行病学、临床试验、质量改进、社会科学、医疗保健管理、临床实践、行业、患者倡导团体、政策制定者、患者、护理人员和公众代表的代表。讲习班确定了MLTC研究方法中的关键知识差距,包括疾病分类、数据整合、分析方法和纳入不同人群亚组方面的挑战。结论:通过解决这些方法上的差距并促进跨学科合作,MLTC研究界可以产生更严格、更包容、更有影响力的证据,最终改善医疗保健服务和患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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