TY - JOUR
T1 - Understanding changes in complex care needs over time
T2 - key research insights into multimorbidity trajectories
AU - Calderón-Larrañaga, Amaia
AU - Fabbri, Elisa
AU - González, Ana Isabel
AU - Perera-Salazar, Rafael
AU - Grede, Nina
AU - Guthrie, Bruce
AU - Valderas, José M.
AU - Gregorio, Caterina
AU - Muth, Christiane
AU - Vetrano, Davide L.
AU - Meyer, Gabriele
AU - Ferrucci, Luigi
AU - Blom, Jeanet W.
AU - Bernartz, Kerstin
AU - Schürmann, Lara
AU - Hanf, Maria
AU - Scherer, Martin
AU - Steinman, Michael A.
AU - Rijken, Mieke
AU - Straus, Sharon
AU - Smith, Susan M.
AU - Montori, Victor M.
AU - Puzhko, Svetlana
AU - van den Akker, Marjan
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/11
Y1 - 2025/11
N2 - Multimorbidity, the coexistence of multiple chronic diseases or conditions, poses a major challenge for health-care systems worldwide. Traditional research has largely relied on cross-sectional studies, offering limited insight into multimorbidity evolution over time. This Personal View advocates for a paradigm shift towards longitudinal approaches that capture multimorbidity trajectories. Tracking the sequence, pace, and severity of disease accumulation can enhance our understanding of underlying mechanisms, inform early interventions, and improve patient care. Drawing on expert discussions from an international workshop held in Bielefeld, Germany, in May, 2024, we outline key themes and findings to guide future research on the dynamic processes underlying multimorbidity trajectories. Specifically, we summarise previous work, examine the challenges and opportunities of existing data resources, and highlight priority areas for further investigation. Advancing this field will require the standardisation of longitudinal multimorbidity phenotypes, integration of health and social care processes, and testing the usefulness of trajectories for patient-relevant outcomes and risk stratification. Progress will also depend on methodological innovation, patient and public involvement, harmonisation of diverse data sources, and close interdisciplinary collaboration. Ultimately, a trajectory-based framework for multimorbidity research can enable more personalised, efficient, and equitable health-care strategies, improving outcomes in ageing populations.
AB - Multimorbidity, the coexistence of multiple chronic diseases or conditions, poses a major challenge for health-care systems worldwide. Traditional research has largely relied on cross-sectional studies, offering limited insight into multimorbidity evolution over time. This Personal View advocates for a paradigm shift towards longitudinal approaches that capture multimorbidity trajectories. Tracking the sequence, pace, and severity of disease accumulation can enhance our understanding of underlying mechanisms, inform early interventions, and improve patient care. Drawing on expert discussions from an international workshop held in Bielefeld, Germany, in May, 2024, we outline key themes and findings to guide future research on the dynamic processes underlying multimorbidity trajectories. Specifically, we summarise previous work, examine the challenges and opportunities of existing data resources, and highlight priority areas for further investigation. Advancing this field will require the standardisation of longitudinal multimorbidity phenotypes, integration of health and social care processes, and testing the usefulness of trajectories for patient-relevant outcomes and risk stratification. Progress will also depend on methodological innovation, patient and public involvement, harmonisation of diverse data sources, and close interdisciplinary collaboration. Ultimately, a trajectory-based framework for multimorbidity research can enable more personalised, efficient, and equitable health-care strategies, improving outcomes in ageing populations.
U2 - 10.1016/j.lanhl.2025.100790
DO - 10.1016/j.lanhl.2025.100790
M3 - (Systematic) Review article
SN - 2666-7568
VL - 6
JO - The Lancet Healthy Longevity
JF - The Lancet Healthy Longevity
IS - 11
M1 - 100790
ER -