ArticleJournal of multimorbidity and comorbidity
Addressing methodological challenges in multiple long-term conditions research: A stakeholder workshop using a nominal group technique method.
Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Development of reporting guidelines for multiple long-term condition research.Journal of multimorbidity and comorbidityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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