Journal of Multimorbidity and Comorbidity
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jmultimorbidity.bsky.social
Journal of Multimorbidity and Comorbidity
@jmultimorbidity.bsky.social
Journal of Multimorbidity and Comorbidity is an open-access journal for the management of patients with #comorbidity / #multimorbidity
IF 3.0 | Published by SAGE.
Understanding these differences will allow more targeted interventions to improve patient outcomes 👏🏻
January 23, 2026 at 2:46 PM
People with cardiometabolic multimorbidity females had a higher probability of reporting high depressive symptoms, pain, and activity limitations while males had a higher of reporting infrequent social participation 💡
January 23, 2026 at 2:46 PM
This study used the Canadian Longitudinal study on aging (CLSA) to explore sex differences in the presence of cardiometabolic multimorbidity as well as the interplay between these factors and disability 🇨🇦
January 23, 2026 at 2:46 PM
Suggestions include:
- A standardised panel of conditions with clear definitions
- More longitudinal studies focussing on multimorbidity
- Research into outcomes of multimorbidity 💡
January 12, 2026 at 11:47 AM
This review showed that standardised definitions and measurement tools, justified by purpose and context, are needed to enhance the comparability and reliability of multimorbidity research in India and globally 🌍
January 12, 2026 at 11:47 AM
Given India’s double burden of communicable and non communicable diseases, fragmented healthcare system and lack of routine data, a comprehensive review of definitions, measurement tools, data and methods in multimorbidity research in India was needed 🇮🇳
January 12, 2026 at 11:47 AM
Thank you to @DrSianZenaHolt for submitting this excellent work. We are always keen to see a wide variety of methodologies in multimorbidity and comorbidity research - especially qualitative!
December 16, 2025 at 12:15 PM
Thematic analysis found:
1) Primary care is the starting point to discuss social care needs
2) Social care needs are rising, but NHS capacity is reducing
3) AI offers an efficient approach to cautiously identify holistic needs
4) AI could support effective,
conversations ‼️
December 16, 2025 at 12:15 PM
The authors of this paper interviewed people with MLTCs, their unpaid carers and health care professionals to explore insights into the use of AI-derived clustering to identify social care needs 💡
December 16, 2025 at 12:15 PM
Artificial Intelligence (AI) is being increasingly used in large datasets to stratify cohorts with multiple long term conditions (MLTCs) to identify those with the greatest need or highest risk of complications 🖥️
December 16, 2025 at 12:15 PM
This study will improve the interpretability of PETS scores, with ongoing verification of the preliminary estimates 👏🏻
November 26, 2025 at 10:45 AM
Using the 2 surveys, mainly comprising older adults, identified cut scores to distinguish severity of treatment burden using PETS 💡
November 26, 2025 at 10:45 AM
This study utilised survey data from 771 adults with multimorbidity to determine severity cut points for the PETS - a self report measure of treatment burden 🏥
November 26, 2025 at 10:45 AM
Telehealth showed the potential to improve access to care, health outcomes and reduce healthcare costs but there are challenges like digital literacy ⚕️
November 13, 2025 at 8:24 PM
Asynchronous telehealth interventions were the most common (10/15), focussing more on physical (11/15) than mental health conditions 🏥
November 13, 2025 at 8:24 PM
This scoping review explored telehealth interventions for managing multimorbidity in rural and remote areas, analysing 15 studies from 11 countries ☎️
November 13, 2025 at 8:24 PM
Did you know that telehealth can improve health outcomes and reduce costs for individuals with multimorbidity?
November 13, 2025 at 8:24 PM
We look forward to hearing the full results of this work!
October 27, 2025 at 1:42 PM