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Background: Cardiometabolic multimorbidity (CMM), characterized by the coexistence of diabetes, hypertension, and cardiovascular disease, poses a major health challenge in India, particularly in rural areas with limited healthcare resources. Lifestyle interventions can manage cardiometabolic risk factors, yet adherence remains suboptimal. Mobile health (mHealth) interventions offer a scalable approach for managing CMM by promoting behaviour change and medication adherence. We will develop and evaluate the MultiLife intervention, a mHealth-based lifestyle toolkit aimed at improving CMM management among individuals receiving primary care in Eastern India in the year 2025. Methods: This study is a two-arm, cluster-randomized controlled trial with a hybrid Type 1 design involving 840 participants across 18 primary health centres in Odisha and Jharkhand. Using the Health Belief Model as a conceptual framework, the MultiLife intervention will deliver daily digital reminders, weekly health education broadcasts, and ongoing primary care support in the intervention arm, while the control group will receive the standard ongoing primary care support care. The trained healthcare workers will recruit 50 CMM patients, with a 6-month intervention period, during routine visits in each cluster. Primary outcomes include changes in HbA1c from baseline (T0) to end-line (T6). Secondary outcomes include blood pressure, body mass index, physical activity, and dietary habits. Qualitative assessments will explore intervention barriers and facilitators. Implementation outcomes, assessed through the RE-AIM QuEST framework, will evaluate MultiFrame’s acceptability, adoption, fidelity, and maintenance. A random-effects regression model will be used for difference-in-difference analysis, adjusting for covariates and within-cluster correlations. Discussion: The MultiLife trial may provide valuable insights into how mHealth-enabled primary care can enhance patient engagement, adherence, and cardiovascular risk reduction in resource-constrained settings. By integrating patient perspectives, this study could inform scalable digital health strategies for comprehensive CMM management, providing a model for future interventions in similar contexts. Trial registration: CTRI.nic.in, CTRI/2024/10/074559, Registered on 1 October 2024. [ABSTRACT FROM AUTHOR]

Background & objectives Cancer is a leading cause of death worldwide and constitutes a public health priority. Delays in diagnosis and treatment of cancer can adversely impact survival, recovery, and cost of treatment. The objective of this study was to estimate the proportion seeking timely care among those having early warning signals for oral, breast or cervical cancer and to explore the facilitators and barriers to early detection. Methods The study was conducted among 241 participants, including those having early signals for selected cancers and women who underwent opportunistic cervical cancer screening in the selected health facilities. Information regarding symptom appearance, presentation to any registered medical practitioner, confirmatory diagnosis, and treatment initiation were obtained from medical records. In-depth Interviews (IDIs) were conducted among six participants to explore facilitators and barriers to cancer detection. Results Among 7300 people screened using the Community Based Assessment Checklist (CBAC), 128 (1.7%) had warning signals for any one of the cancers. The percentage of people who sought medical care for oral, breast and cervical cancer symptoms were 80 per cent, 82 per cent and 57 per cent, respectively. Among those who underwent opportunistic cervical cancer screening in health centres (113), the screen positivity rate was 11 per cent, and adherence to referral for confirmation was 80 per cent. The median pre-diagnostic and diagnostic delays for the three cancers were 79 [Interquartile range (IQR): 44-126] and 27 (IQR: 13-73) days. One individual was diagnosed with oral cancer, and the treatment delay was 27 days. Facilitators identified for early seeking of care were encouragement by family and low-cost treatment at public facilities. Major barriers identified were neglect of symptoms by participants and their responsibilities towards family. Interpretation & conclusions Although very few people were identified to have early warning symptoms using CBAC, a substantial proportion of them sought medical care and underwent confirmatory diagnosis. Screen positivity rate and treatment-seeking behaviour were better among women undergoing opportunistic cervical cancer screening in the health centres. Measures need to be taken to improve health literacy among people to reduce diagnostic delay for cancers. [ABSTRACT FROM AUTHOR]