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Screenshot of text and a table.

Chen et al., “The most common patient-centred outcomes were quality of life, satisfaction or patient experience, self-management or self-care, depression or mental health, physical function or exercise capacity, cost-effectiveness, cognitive function, adherence, empowerment and hospitalisations.”

The table then presents the outcomes from the core outcome sets and the number of studies in Chen et al. (2026) that report this outcome (max. n=25)

(Health-related) Quality of Life	    9
Mental Health	    4
Mortality	
Adverse Events	    1
Development of New Comorbidity	0
Health-risk Behaviour	0
Adherence to Treatment	    2
Health-care Cost (out of pocket)	    4

Number of studies based on those reported in Chen et al. (Tables 2 & 3), so it may be that some of the less usual outcomes such as health-care cost were not extracted by the team of the systematic review. On the other hand, “cost” is coded inclusively as not all studies assessed out-of-pocket cost (not relevant in all health care systems).

The table also codes which outcomes are drawn from which core outcome set, which was unfortunately difficult to describe - here are the references to the sets:
1 Smith et al. (2018). The Annals of Family Medicine, 16, 132–138.
2 “Intervention” in Vidyasagaran et al. (2024). BMJ Global Health, 9, Article e015120.
3 “Prevention” in Vidyasagaran et al. (2024). BMJ Global Health, 9, Article e015120.

Screenshot of text and a table. Chen et al., “The most common patient-centred outcomes were quality of life, satisfaction or patient experience, self-management or self-care, depression or mental health, physical function or exercise capacity, cost-effectiveness, cognitive function, adherence, empowerment and hospitalisations.” The table then presents the outcomes from the core outcome sets and the number of studies in Chen et al. (2026) that report this outcome (max. n=25) (Health-related) Quality of Life 9 Mental Health 4 Mortality Adverse Events 1 Development of New Comorbidity 0 Health-risk Behaviour 0 Adherence to Treatment 2 Health-care Cost (out of pocket) 4 Number of studies based on those reported in Chen et al. (Tables 2 & 3), so it may be that some of the less usual outcomes such as health-care cost were not extracted by the team of the systematic review. On the other hand, “cost” is coded inclusively as not all studies assessed out-of-pocket cost (not relevant in all health care systems). The table also codes which outcomes are drawn from which core outcome set, which was unfortunately difficult to describe - here are the references to the sets: 1 Smith et al. (2018). The Annals of Family Medicine, 16, 132–138. 2 “Intervention” in Vidyasagaran et al. (2024). BMJ Global Health, 9, Article e015120. 3 “Prevention” in Vidyasagaran et al. (2024). BMJ Global Health, 9, Article e015120.

A #SysReview exploring impacts of community-based interventions for adults with #multimorbidity on clinical and patient-reported outcomes (25 studies):
bmjpublichealth.bmj.com/content/4/1/...

Quick comparison of identified outcomes with the two central #CoreOutcomeSets 👇

#HRQOL #Psychometrics

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We ran a secondary analysis of the MOBILIZE trial to see whether a 12‑week personalised exercise therapy + self‑management programme could improve physiological markers in people living with #multimorbidity.

🧵 www.nature.com/articles/s43...

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Check out this week's article to explore the #intersectional study of #Depression and #Multimorbidity on #Black populations in the #UnitedStates Click the link in the post below to read more!

#ethnicity #race #health

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Search - NIHR Funding and Awards

Today is the reveal event for the #RCT results from our DIAMONDS study.
#NIHR #PGfAR

The aim was to develop and test a #SelfManagement programme for people w severe #MentalIllness and type-2 #diabetes
fundingawards.nihr.ac.uk/award/RP-PG-...

#SMI #NCDs #Multimorbidity

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When a single condition isn’t the whole story Rising multimorbidity will require a new blueprint for health systems.

Multimorbidity is rising fast, and health systems can’t keep up. Suzanne Wait and Dan Han explore how we need to rethink the very architecture of our health systems to support people with multiple conditions. #Multimorbidity #HealthPolicy
www.healthpolicypartnership.com/when-a-singl...

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NHS primary care data joins UK Biobank for 500,000 volunteers, making early risk, multimorbidity and prevention easier to study.

vist.ly/4r8r2

#longevity #UKBiobank #PrecisionMedicine #EarlyDetection #Multimorbidity #PreventiveHealth #HealthData #PopulationHealth

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Social scientists Duncan Reynolds and Megan Clinch of @qmul.bsky.social presenting their ethnographic work on interdisciplinarity in AI & multiple longterm condition studied in the AI Multiply collaboration.
#ai #socialscience
#multimorbidity
@ai-multiply.bsky.social
@nihr.bsky.social

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Dr Rebeen Hamad presenting his work on self-supervised learning in predicting hospital readmission at the NIHR-funded AI Multiply conference at Newcastle Univ.
#multimorbidity
#ai
#hospitalreadmission
@ai-multiply.bsky.social
@nihr.bsky.social
@newcastleuni.bsky.social
@qmul.bsky.social

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Understanding changes in complex care needs over time: key research insights into multimorbidity trajectories Multimorbidity, the coexistence of multiple chronic diseases or conditions, poses a major challenge for health-care systems worldwide. Traditional res…

.... the authors suggest shifting instead towards longitudinal studies. By doing this, they aim to learn more about multimorbidity evolution over time, with the end goal of improving patient care.

bit.ly/4p1EBWt

#Multimorbidity
#HealthyAging

(3/3)

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Researching #IntegratedCare, especially for people w #multimorbidity, shows that silos do not start at the psychological vs. physiological, but already within those categories.

#MentalIllness #HealthServices

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Inequality in the accumulation of diseases and medications among older adults: a longitudinal cohort study 2016–2021 Introduction Socioeconomic deprivation is a major driver of multimorbidity (multiple long-term conditions, MLTCs) and polypharmacy in ageing populations. However, it is unclear how these inequalities ...

#Inequality in the accumulation of diseases and medications among older adults: a longitudinal cohort study 2016–2021 bmjpublichealth.bmj.com/content/3/2/... - #multimorbidity #health inequality - Individuals in deprived areas experience faster accumulation of conditions and medications.

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FWIW Sean Barbabella is an #emergency medicine physician specializing in tactical care of #soldiers.
With all great respect to my #EM colleagues, I couldn’t do what you do, he is in no way a specialist in the longitudinal #medical treatment of #multimorbidity in the #elderly

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Association of circadian syndrome with the risk of physical, psychological, and cognitive multimorbidities: a prospective cohort study based on the China Health and Retirement Longitudinal Study.
Bi, Jingru et al.
Paper
Details
#CircadianSyndrome #Multimorbidity #CHALRS

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THE STAGE PROJECT | Predicting multi-morbidity
THE STAGE PROJECT | Predicting multi-morbidity YouTube video by THE STAGE PROJECT

Can AI predict multiple diseases at once?

Watch the video from our WP6 partner @ub.edu 👀 youtu.be/xxHt_DL5EEw?...

#AI #HealthyAgeing #MultiMorbidity

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Does lifestyle explain the relationship between socioeconomic position and multimorbidity of cancer and cardiometabolic diseases? A mediation analysis applied to the European Prospective Investigation... Background Multimorbidity is socially patterned, with lower socioeconomic position (SEP) linked to higher risk. We examined whether a Healthy Lifestyle Index (HLI) mediates the SEP–multimorbidity asso...

👋Lower socioeconomic position = higher #multimorbidity of #cancer #diabetes & #CVDs.
👉Healthy lifestyle partly mediates this link, more so in men (29%) than women (11%).
jech.bmj.com/content/80/1/3

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If you are interested in #multimorbidity then you might want to read our new editorial just out in BMJ

www.bmj.com/content/391/...

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A Novel Primary Care Planning Informatics Tool Informed by Data-Driven Multimorbidity Grouping: User-Centered Design and #feasibility Testing Background: Patients with multimorbidity have complex healthcare needs and are at high-risk for adverse health outcomes. Primary care teams need tools to effectively and proactively plan care for these patients. We developed VET-PATHS (VETeran PAnel management Tool for High-risk Subgroups), a novel care planning informatics tool for complex primary care patients. VET-PATHS a) groups patients by chronic condition profile via latent class analysis of electronic health record (EHR) data, then b) jumpstarts care planning by suggesting ‘care steps’ based on data-driven high-priority care for the group, indicated as not receive by EHR. Objective: Iteratively adapt VET-PATHS with user input, then test #feasibility and acceptability of tool use by frontline primary care teams for their empaneled high-risk patients. Methods: Three rounds of user-centered design sessions with 17 primary care providers and registered nurses were held at 5 sites from 2019-2021, for feedback on VET-PATHS layout, content, and user-interface. Feedback was summarized into 4 user experience domains (useful, desirable, credible, and usable), leading to progressively updated prototypes. After national tool release, we conducted a pilot intervention study in 2023-2024 with 6 primary care teams at 4 sites. Teams used VET-PATHS during asynchronous regular meetings. Tool use and resulting care plans were assessed by templated observation during meetings and post-pilot chart review. Individual qualitative interviews were analyzed by rapid template analysis for themes of #feasibility, acceptability, and utility. Results: User-centered feedback led to updates in tool content, context (e.g., use in proactive panel management), targeting of users (e.g., focusing on primary care providers as the principal users), and layout of informational displays. Pilot intervention teams used VET-PATHS over 4-8 weekly team meetings (mean length, 24 min (range 16-49m)), in which they actively reviewed 80% (280/351) of empaneled high-risk patients visible in the tool. Tool use prompted teams to plan 127 new actions for 91 unique patients (33% of patients reviewed), and document >1 new care plans for 19% of patients reviewed. Common actions included requests to return to clinic (27%), referrals (20%), or vaccinations (19%). Of actions planned, 53 (42%) were received by patients. Four teams with general patient panels (n=11 interviews) described higher acceptability. Two ‘focused’ teams with smaller more homogenous patient panels, e.g. substance use disorder, (n=3 interviews) found care steps less useful. Teams described how VET-PATHS improved efficiency of care planning through automated patient grouping and identification of care gaps, and increased multidisciplinary role involvement. Conclusions: User-centered improvements to VET-PATHS were designed to help clinicians process and use complex information about patient multimorbidity to efficiently create new care plans. In subsequent production, VET-PATHS was acceptable and feasible to use by frontline primary care teams, particularly with larger, more heterogenous patient panels, and led to concrete changes to clinical care delivery. Clinical Trial: N/A

JMIR Formative Res: A Novel Primary Care Planning Informatics Tool Informed by Data-Driven Multimorbidity Grouping: User-Centered Design and #feasibility Testing #Healthcare #PrimaryCare #Multimorbidity #HealthData #PatientCare

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An interpretative phenomenological analysis of the lived experience of people with multimorbidity in low- and middle-income countries People living with multimorbidity (PLWMM) have multiple needs and require long-term personalised care, which necessitates an integrated people-centred approach to healthcare. However, people-centred c...

Link to our paper: gh.bmj.com/content/9/1/...

#GlobalHealth #GlobalMentalHealth #Multimorbidity #NCD

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Diabetes and cancer in the age of multimorbidity www.thelancet.com/journals/lan...
#diabetes #cancer #multimorbidity
#FREE to read

#MedSky #EndoSky #OncSky

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Diabetes and cancer in the age of multimorbidity Diabetes and cancer are two of the four major non-communicable diseases identified by WHO. Their relationship is multifaceted and complex, involving shared biological mechanisms and overlapping risk f...

New Editorial:
Diabetes and cancer in the age of multimorbidity thelancet.com/journals/lan...
#diabetes #cancer #multimorbidity
#FREE to read
#LGCW2025 #LondonGlobalCancerWeek
#MedSky #EndoSky #OncSky

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Implementation of the German Clinical Practice Guideline for Multimorbidity Using a Digital Tool in Primary Care: Pilot Cluster Randomized Clinical Trial Background: Clinical practice guidelines (CPGs) summarize the best available evidence in a specific field. To improve patient-centered outcomes, guidelines have to be implemented, using, for example, information and communications technology. Although there are CPGs addressing multimorbidity, there is still a lack of studies investigating their implementation. Objective: This study aimed to evaluate whether the implementation of a CPG for multimorbidity using a digital tool is feasible and explore possible effects of this intervention. Methods: A pilot cluster randomized clinical trial based on telephone interviews was conducted from October 25, 2023, to September 8, 2024. Patients enrolled in any disease management program who were aged ≥65 years and had at least 2 additional chronic conditions were randomly selected from 20 general practitioner (GP) practices and contacted for informed consent. Each practice was randomized after baseline interviews of all participating patients in the practice were finished. The use of a web application facilitating collection and documentation of treatment-relevant data in accordance with the German CPG for multimorbidity was compared with treatment as usual. The primary outcome was time spent in hospital. As a secondary outcome, the number of patients with at least one hospital admission was calculated. Further secondary outcomes included outpatient health care use, quality of life, patient satisfaction, and quality of care. Feasibility assessment included examination of sample size, participation rate, and compliance with the study protocol. Outcome measures were analyzed using linear, logistic, and negative binomial regressions with random intercepts for practices. Results: Of 384 patients who were contacted, 123 (32%) agreed to participate, and 120 (31.3%, including 54/120, 45% in the intervention group and 66/120, 55% in the control group) completed baseline and follow-up assessments. Mean age was 75.4 (SD 6.6) years, and 51.7% (62/120) were women. The compliance rate, or the proportion of patients who were treated per protocol, was 89% (48/54). In our data, the incidence rate of hospital days was comparable in both groups (incidence rate ratio [IRR] 0.94, 95% CI 0.09-9.42; P=.96), but the odds of hospital admission were almost reduced by half in the intervention group (odds ratio 0.51, 95% CI 0.17-1.54; P=.23). Our data also suggest a higher incidence rate of GP contacts (IRR 1.13, 95% CI 0.83-1.53; P=.43) and lower incidence rate of contacts with outpatient specialists (IRR 0.79, 95% CI 0.54-1.15; P=.24) in the intervention group compared to usual care. Moreover, patients and GPs reported a better quality of care (mean difference 0.51, 95% CI −0.12 to 1.14; P=.12 and mean difference 1.19, 95% CI 0.13-2.25; P=.03, respectively) in the intervention group. Conclusions: Implementation of the CPG using a digital tool was feasible. Our data suggest that the probability of hospital admissions and contacts with outpatient specialists might be reduced and quality of care might be improved. Trial Registration: ClinicalTrials.gov NCT06061172; https://clinicaltrials.gov/study/NCT06061172

New in JMIR Aging: Implementation of the German Clinical Practice Guideline for Multimorbidity Using a Digital Tool in Primary Care: Pilot Cluster Randomized Clinical Trial #Multimorbidity #DigitalHealth #ClinicalGuidelines #PatientCare #PrimaryCare

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LIDA researcher awarded £2 million Wellcome Trust Fellowship to transform treatment evidence for people with cardiovascular disease and multiple long-term conditions | Leeds Institute for Data Analyti...

Read the news article 👉 lida.leeds.ac.uk/news/lida-re...

#WellcomeTrust #ResearchExcellence #HealthDataScience #CardiovascularResearch #Multimorbidity #TargetTrialEmulation #CausalInference #HealthEquity #DataScience #HealthResearch

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University of Glasgow - Postgraduate study - Centres for Doctoral Training - MRC DTP in Precision Medicine - Supervisors and Projects - Projects 2026 - Projects 26 - Peter MacPherson

🚨Fully-funded PhD opportunity!🚨

Interested in researching how to improve risk prediction for people with #tuberculosis #TB and #multimorbidity?

Joint project between @uofgshw.bsky.social 🏴󠁧󠁢󠁳󠁣󠁴󠁿 and @ki.se 🇸🇪, funded by UK MRC.

Details here⬇️

www.gla.ac.uk/postgraduate...

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Evaluation of an eHealth self-management tool (KeepWell) for older adults with multimorbidity
Evaluation of an eHealth self-management tool (KeepWell) for older adults with multimorbidity YouTube video by KT Program

The recording from Dr Monika Kastner's presentation on "Evaluation of an eHealth self-management tool (KeepWell) for older adults with #multimorbidity" is now posted! View it here, on our youtube page: www.youtube.com/watch?v=C8Sh...

#ImpSci

@andreatricco.bsky.social @sporalliance.bsky.social

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“So I call myself healthy”: a qualitative study on health perceptions and healthcare experiences in older adults with multimorbidity - BMC Primary Care Abstract An ageing population and its association with a rising prevalence of co-existing multiple chronic conditions poses increasing challenges for healthcare systems worldwide. In line with the Wor...

Engaging with healthcare can pose a threat to both autonomy and non-sick identity. So I call myself healthy”: #multimorbidity bmcprimcare.biomedcentral.com/articles/10....

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Sage Journals: Discover world-class research Subscription and open access journals from Sage, the world's leading independent academic publisher.

Workshop of the MLTC Cross- #NIHR Collaboration programme suggests 3 key challenges in #multimorbidity research #methodology
journals.sagepub.com/doi/full/10....

Wired
Transparency, standardisation, reproducibility of multimorbidity research made the list!

#Training #ECRs #Epidemiology #Statistics

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#rmds #comorbidities #multimorbidity | Mrinalini Dey Last week, I was delighted to be invited to speak at the AGORA FEDERATION OF ASSOCIATIONS FOR PATIENTS WITH RMDs Annual Conference in Athens, bringing together patient-led organisations from across So...

Last week, I had the privilege of being invited to speak at the AGORA Annual Conference, bringing together patient organisations from across Southern Europe.

Read more about my experience and reflections here 👇🏼

#Multimorbidity
#RMDs

www.linkedin.com/posts/mrinal...

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Three logos on white background: Knowledge Translation Canada, Knowledge Translation Program, St. Michaels - Unity Health Toronto. 
KT Canada Seminar Series - expert-led webinars dedicated to current and emerging knowledge translation topics. 
Joins us: www.ktcanada.org/events 
Image of QR code. 
Dark blue background.

Three logos on white background: Knowledge Translation Canada, Knowledge Translation Program, St. Michaels - Unity Health Toronto. KT Canada Seminar Series - expert-led webinars dedicated to current and emerging knowledge translation topics. Joins us: www.ktcanada.org/events Image of QR code. Dark blue background.

Join us for our next Seminar Series presentation, taking place Oct 9 with Dr Monika Kastner!

Topic: Evaluation of an eHealth self-management tool (KeepWell) for older adults with #multimorbidity: Lessons learned from a hybrid effectiveness-implementation trial

Register here! bit.ly/4gWBAUp

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Opportunities for optimising care transitions of adults with multiple long-term conditions: a qualitative interview study - BMC Geriatrics Background The number of adults with multiple long-term conditions (MLTC) who experience frequent care transitions is rising. Improving care transitions for adults MLTC is important because transition...

New paper: We identified multiple system-level barriers to delivering quality and safe care transitions for adults living with multiple conditions #MLTC or #multimorbidity.

Read about improvements opportunities👉
bmcgeriatr.biomedcentral.com/articles/10....

#CareTransitions
#Multimorbidity

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Plant‑Based Diet Linked to Lower Multimorbidity Risk in European Study

Plant‑Based Diet Linked to Lower Multimorbidity Risk in European Study

In a study of 407,618 Europeans over ~11 years, a 10‑point increase in a healthy plant‑based diet score cut multimorbidity risk by 11% in EPIC and 19% in the UK Biobank. Read more: getnews.me/plant-based-diet-linked-... #plantbased #multimorbidity

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