Core outcome sets for trials of interventions to prevent and to treat multimorbidity in adults in low and middle-income countries: the COSMOS study.

INTRODUCTION: The 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. Core outcome sets (COS) appropriate for the study of multimorbidity in LMICs do not presently exist. These are 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 preventing and treating multimorbidity in adults in LMICs. METHODS: To 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 (people with multimorbidity/caregivers, multimorbidity researchers, healthcare professionals and policymakers) with representation from 33 countries. Consensus meetings were used to reach agreement on the two final COS. REGISTRATION: https://www.comet-initiative.org/Studies/Details/1580. RESULTS: The systematic review and qualitative interviews identified 24 outcomes for prevention and 49 for treatment of multimorbidity. An additional 12 prevention and 6 treatment outcomes were added from Delphi round 1. Delphi round 2 surveys were completed by 95 of 132 round 1 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. CONCLUSION: Following established guidelines, we developed two COS for trials of interventions for multimorbidity prevention and treatment, specific to adults in LMIC contexts. We recommend their inclusion in future trials to meaningfully advance the field of multimorbidity research in LMICs. PROSPERO REGISTRATION NUMBER: CRD42020197293.

Tobacco use in people with severe mental illness: Findings from a multi-country survey of mental health institutions in South Asia.

INTRODUCTION: People with severe mental illness (SMI) tend to die early due to cardiovascular and respiratory diseases, which may be linked to tobacco use. There is limited information on tobacco use in people with SMI in low- and middle-income countries where most tobacco users reside. We present novel data on tobacco use in people with SMI and their access to tobacco cessation advice in South Asia. METHODS: We conducted a multi-country survey of adults with SMI attending mental health facilities in Bangladesh, India, and Pakistan. Using data collected with a standardized WHO STEPS survey tool, we estimated the prevalence and distribution of tobacco use and assessed receipt of tobacco cessation advice. RESULTS: We recruited 3874 participants with SMI; 46.8% and 15.0% of men and women consumed tobacco, respectively. Smoking prevalence in men varied by country (Bangladesh 42.8%, India 20.1% and Pakistan 31.7%); <4% of women reported smoking in each country. Smokeless tobacco use in men also varied by country (Bangladesh 16.2%, India 18.2% and Pakistan 40.8%); for women, it was higher in Bangladesh (19.1%), but similar in India (9.9%) and Pakistan (9.1%). Just over a third of tobacco users (38.4%) had received advice to quit tobacco. Among smokers, 29.1% (n=244) made at least one quit attempt in the past year. There was strong evidence for the association between tobacco use and the severity of depression (OR=1.29; 95% CI: 1.12-1.48) and anxiety (OR=1.29; 95% CI: 1.12-1.49). CONCLUSIONS: As observed in high-income countries, we found higher tobacco use in people with SMI, particularly in men compared with rates reported for the general population in South Asia. Tobacco cessation support within mental health services offers an opportunity to close the gap in life expectancy between SMI and the general population. STUDY REGISTRATION: ISRCTN88485933; https://doi.org/10.1186/ISRCTN88485933 39.

Risk factors associated with overweight and obesity in people with severe mental illness in South Asia: cross-sectional study in Bangladesh, India, and Pakistan.

Obesity is one of the major contributors to the excess mortality seen in people with severe mental illness (SMI) and in low- and middle-income countries people with SMI may be at an even greater risk. In this study, we aimed to determine the prevalence of obesity and overweight in people with SMI and investigate the association of obesity and overweight with sociodemographic variables, other physical comorbidities, and health-risk behaviours. This was a multi-country cross-sectional survey study where data were collected from 3989 adults with SMI from three specialist mental health institutions in Bangladesh, India, and Pakistan. The prevalence of overweight and obesity was estimated using Asian BMI thresholds. Multinomial regression models were then used to explore associations between overweight and obesity with various potential determinants. There was a high prevalence of overweight (17·3 %) and obesity (46·2 %). The relative risk of having obesity (compared to normal weight) was double in women (RRR = 2·04) compared with men. Participants who met the WHO recommendations for fruit and vegetable intake had 2·53 (95 % CI: 1·65-3·88) times greater risk of having obesity compared to those not meeting them. Also, the relative risk of having obesity in people with hypertension is 69 % higher than in people without hypertension (RRR = 1·69). In conclusion, obesity is highly prevalent in SMI and associated with chronic disease. The complex relationship between diet and risk of obesity was also highlighted. People with SMI and obesity could benefit from screening for non-communicable diseases, better nutritional education, and context-appropriate lifestyle interventions.