ArticleHealthcare (Basel, Switzerland)2025
Multimorbidity: Addressing the Elephant in the Clinic Room.
Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Recommendations for conducting qualitative research on multiple long-term conditions (MLTC) from a qualitative methods community of practice.Journal of multimorbidity and comorbidityArticle
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimorbidity is the conjoint presence of multiple conditions in patients, which is a public health problem. Multimorbidity is like the elephant in the clinic room because it remains the unaddressed challenge we face in healthcare. Clinical health psychology has a role to play in this undertaking because it recognizes the intersection and interface of concurrent mental and/or behavioral problems and physical diseases. The current article will define multimorbidity, describe current statistics, how it differs from comorbidity, how to use the biopsychosocial model, and ways in which clinical health psychologists can manage and prevent it in their clinics. A model of how to address multimorbidity will be shared using the role of a clinical health psychologist working in a multidisciplinary pain clinic in a hospital setting serving patients who are socioeconomically disadvantaged.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.