Core outcome sets for trials of interventions to prevent and to treat multimorbidity in low- and middle-income countries: the COSMOS study
Vidyasagaran, A. L.; Ayesha, R.; Boehnke, J. R.; Kirkham, J. J.; Rose, L.; Hurst, J. R.; Miranda, J. J.; Rana, R. Z.; Vedanthan, R.; Faisal, M. R.; Siddiqi, N.; The COSMOS Collaboration,
Show abstract
IntroductionThe burden of multimorbidity is recognised increasingly in low- and middle-income countries (LMICs), creating a strong emphasis on the need for effective evidence-based interventions. A core outcome set (COS) appropriate for the study of multimorbidity in LMIC contexts does not presently exist. This is required to standardise reporting and contribute to a consistent and cohesive evidence-base to inform policy and practice. We describe the development of two COS for intervention trials aimed at the prevention and treatment of multimorbidity in LMICs. MethodsTo generate a comprehensive list of relevant prevention and treatment outcomes, we conducted a systematic review and qualitative interviews with people with multimorbidity and their caregivers living in LMICs. We then used a modified two-round Delphi process to identify outcomes most important to four stakeholder groups with representation from 33 countries (people with multimorbidity/caregivers, multimorbidity researchers, healthcare professionals, and policy makers). Consensus meetings were used to reach agreement on the two final COS. Registration: https://www.comet-initiative.org/Studies/Details/1580. ResultsThe systematic review and qualitative interviews identified 24 outcomes for prevention and 49 for treatment of multimorbidity. An additional 12 prevention, and six treatment outcomes were added from Delphi round one. Delphi round two surveys were completed by 95 of 132 round one participants (72.0%) for prevention and 95 of 133 (71.4%) participants for treatment outcomes. Consensus meetings agreed four outcomes for the prevention COS: (1) Adverse events, (2) Development of new comorbidity, (3) Health risk behaviour, and (4) Quality of life; and four for the treatment COS: (1) Adherence to treatment, (2) Adverse events, (3) Out-of-pocket expenditure, and (4) Quality of life. ConclusionFollowing established guidelines, we developed two COS for trials of interventions for multimorbidity prevention and treatment, specific to LMIC contexts. We recommend their inclusion in future trials to meaningfully advance the field of multimorbidity research in LMICs. KEY MESSAGESWhat is already known on this topic? Although a Core Outcome Set (COS) for the study of multimorbidity has been previously developed, it does not include contributions from low- and middle-income countries (LMICs). Given the important differences in disease patterns and healthcare systems between high-income country (HIC) and LMIC contexts, a fit-for-purpose COS for the study of multimorbidity specific to LMICs is urgently needed. What this study addsFollowing rigorous guidelines and best practice recommendations for developing COS, we have identified four core outcomes for including in trials of interventions for the prevention and four for the treatment of multimorbidity in LMIC settings. The outcomes Adverse events and Quality of life (including Health-related quality of life) featured in both prevention and treatment COS. In addition, the prevention COS included Development of new comorbidity and Health risk behaviour, whereas the treatment COS included Adherence to treatment and Out-of-pocket expenditure outcomes. How this study might affect research, practice, or policyThe multimorbidity prevention and treatment COS will inform future trials and intervention study designs by helping promote consistency in outcome selection and reporting. COS for multimorbidity interventions that are context-sensitive will likely contribute to reduced research waste, harmonise outcomes to be measured across trials, and advance the field of multimorbidity research in LMIC settings to enhance health outcomes for those living with multimorbidity.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- STIMULATE-ICP-Delphi (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways Delphi): Study Protocol 95%
- Wellbeing Impact Study of High-Speed 2 (WISH2): Protocol for a mixed-methods examination of the impact of major transport infrastructure development on mental health and wellbeing 94%
- Impact of health systems interventions in primary health settings on type 2 diabetes care and health outcomes among adults in West Africa: a systematic review protocol 94%
Similar papers in this journal
- Interdisciplinary perspectives on multimorbidity in Africa: developing an expanded conceptual model 95%
- Measures to assess quality of postnatal care: a scoping review 94%
- Listening to older voices: Results of a cross-sectional survey of older patient-reported experiences of facility-based healthcare in Nouna, Burkina Faso 94%
Similar papers in this journal
- Participatory research in health intervention studies involving migrants: a systematic review 95%
- The use of the positive deviance approach for healthcare system service improvement: A scoping review protocol 94%
- Psychological, social and financial impact of COVID-19 on culturally and linguistically diverse communities: a cross-sectional Australian study 94%
Similar papers in this journal
- Ethnic inequalities in multiple long-term health conditions in the United Kingdom: a systematic review and narrative synthesis 94%
- Development of the Kunonga Framework for Extending Approaches in Health Inequality and Inequity Evidence Syntheses 94%
- How is the COVID-19 pandemic impacting our life, mental health, and well-being? Design and preliminary findings of the pan-Canadian longitudinal COHESION Study 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.