ArticleBMC family practice2020
Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population.
Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.
- Pooled it
- A Practice-Proven Adaptive Case Management Approach for Innovative Health Care Services (Health Circuit): Cluster Randomized Clinical Pilot and Descriptive Observational Study.Journal of medical Internet research · 2023Trial
- Frequent attenders in primary health care in Finland: use of primary care services and patient characteristics.Scandinavian journal of primary health care · 2026Article
- Dynamics of healthcare inequalities in type 2 diabetes mellitus across the COVID-19 pandemic: a real-world population-based study.BMC health services research · 2026Observational
- Burnout Risk Among Providers of an Integrated Care Program Supporting Transitions Between the Hospital and Home: A Descriptive Mixed Methods Evaluation.International journal of environmental research and public health · 2026Article
- Evaluating cross-country applicability of morbidity scores: validation of the Multisource Comorbidity Score in Catalonia.European journal of public health · 2026Observational
- Ten-year population-based assessment of multimorbidity burden progression in a regional cohort of 5.5 million adults.NPJ digital medicine · 2026Article
- Multimorbidity trends in Catalonia, 2010-21: a population-based cohort study.International journal of epidemiology · 2026Article
- Epidemiological evolution and healthcare services utilization in elderly dementia patients of Catalonia.BMC public health · 2025Article
- Identification of Clinical and Genomic Features Associated with SARS-CoV-2 Reinfections.Viruses · 2025Article
- A 25-Year Retrospective of Health IT Infrastructure Building: The Example of the Catalonia Region.Journal of medical Internet research · 2024Article
- Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy.BMC public health · 2024Article
- Air Pollution in Relation to COVID-19 Morbidity and Mortality: A Large Population-Based Cohort Study in Catalonia, Spain (COVAIR-CAT).Research report (Health Effects Institute) · 2024Article
- Comorbidities and use of health services in people with diabetes mellitus according to risk levels by adjusted morbidity groups.BMC endocrine disorders · 2024Article
- Multicentric Assessment of a Multimorbidity-Adjusted Disability Score to Stratify Depression-Related Risks Using Temporal Disease Maps: Instrument Validation Study.Journal of medical Internet research · 2024Article
- Defining, identifying and addressing problematic polypharmacy within multimorbidity in primary care: a scoping review.BMJ open · 2024Article
- Predicting healthcare expenditure based on Adjusted Morbidity Groups to implement a needs-based capitation financing system.Health economics review · 2024Article
- The value of admission avoidance: cost-consequence analysis of one-year activity in a consolidated service.Cost effectiveness and resource allocation : C/E · 2024Article
- Healthcare risk stratification model for emergency departments based on drugs, income and comorbidities: the DICER-score.BMC emergency medicine · 2024Article
- Utilization of Primary Healthcare Services in Patients with Multimorbidity According to Their Risk Level by Adjusted Morbidity Groups: A Cross-Sectional Study in Chamartín District (Madrid).Healthcare (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultimorbidity is highly relevant for both service commissioning and clinical decision-making. Optimization of variables assessing multimorbidity in order to enhance chronic care management is an unmet need. To this end, we have explored the contribution of multimorbidity to predict use of healthcare resources at community level by comparing the predictive power of four different multimorbidity measures.
methodsA population health study including all citizens ≥18 years (n = 6,102,595) living in Catalonia (ES) on 31 December 2014 was done using registry data. Primary care service utilization during 2015 was evaluated through four outcome variables: A) Frequent attendants, B) Home care users, C) Social worker users, and, D) Polypharmacy. Prediction of the four outcome variables (A to D) was carried out with and without multimorbidity assessment. We compared the contributions to model fitting of the following multimorbidity measures: i) Charlson index; ii) Number of chronic diseases; iii) Clinical Risk Groups (CRG); and iv) Adjusted Morbidity Groups (GMA).
resultsThe discrimination of the models (AUC) increased by including multimorbidity as covariate into the models, namely: A) Frequent attendants (0.771 vs 0.853), B) Home care users (0.862 vs 0.890), C) Social worker users (0.809 vs 0.872), and, D) Polypharmacy (0.835 vs 0.912). GMA showed the highest predictive power for all outcomes except for polypharmacy where it was slightly below than CRG.
conclusionsWe confirmed that multimorbidity assessment enhanced prediction of use of healthcare resources at community level. The Catalan population-based risk assessment tool based on GMA presented the best combination of predictive power and applicability.
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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.