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

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posted on 2025-10-13, 10:19 authored by Hajira Dambha-Miller, Glenn Simpson, Lucy Smith, James Finney, Salwa S Zghebi, Sarah E Hughes, Victoria L Keevil, Ge Yu, Clare MacRae, Kamlesh KhuntiKamlesh Khunti, Colin McCowan
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.<p></p>

Funding

Multiple Long-Term Conditions (MLTC) Cross NIHR Collaboration (CNC) (NIHR 207000)

National Institute for Health and Care Research - the Artificial Intelligence for Multiple Long-Term Conditions, or “AIM”

The development and validation of population clusters for integrating health and social care: A mixed-methods study on Multiple Long-Term Conditions

National Institute for Health Research

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National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands (ARC EM), NIHR Global Research Centre for Multiple Long Term Conditions, NIHR Cross NIHR Collaboration for Multiple Long Term Conditions, NIHR Leicester Biomedical Research Centre (BRC) and the British Heart Foundation (BHF) Centre of Excellence

History

Author affiliation

University of Leicester College of Life Sciences Medical Sciences

Version

  • VoR (Version of Record)

Published in

Journal of Multimorbidity and Comorbidity

Volume

15

Pagination

26335565251372222

Publisher

SAGE Publications

issn

2633-5565

eissn

2633-5565

Copyright date

2025

Available date

2025-10-13

Spatial coverage

England

Language

en

Deposited by

Professor Kamlesh Khunti

Deposit date

2025-10-08

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