Observational studyAtencion primaria2019
[Validity of adjusted morbidity groups with respect to clinical risk groups in the field of primary care].
Observational study in Atencion primaria, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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
21 citing papers in PubMed.
- Evaluating cross-country applicability of morbidity scores: validation of the Multisource Comorbidity Score in Catalonia.European journal of public health · 2026Observational
- A 25-Year Retrospective of Health IT Infrastructure Building: The Example of the Catalonia Region.Journal of medical Internet research · 2024Article
- Predicting healthcare expenditure based on Adjusted Morbidity Groups to implement a needs-based capitation financing system.Health economics review · 2024Article
- Five years of Hospital at Home adoption in Catalonia: impact, challenges, and proposals for quality assurance.BMC health services research · 2024Article
- Pharmacological treatments and medication-related problems in nursing homes in Catalonia: a multidisciplinary approach.Frontiers in pharmacology · 2024Article
- Adjusted morbidity groups and survival: a retrospective cohort study of primary care patients with chronic conditions.BMC primary care · 2023Observational
- Prevention of Unplanned Hospital Admissions in Multimorbid Patients Using Computational Modeling: Observational Retrospective Cohort Study.Journal of medical Internet research · 2023Observational
- Situation of the Elderly Living Alone: Morbidity and Services Provided from the Field of Primary Health Care of Gran Canaria.Healthcare (Basel, Switzerland) · 2022Article
- Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain).International journal of environmental research and public health · 2022Observational
- Development and validation of a population-based risk stratification model for severe COVID-19 in the general population.Scientific reports · 2022Article
- Multicomponent, high-intensity, and patient-centered care intervention for complex patients in transitional care: SPICA program.Frontiers in medicine · 2022Article
- Performance of quantitative measures of multimorbidity: a population-based retrospective analysis.BMC public health · 2021Article
- Use of primary and hospital care health services by chronic patients according to risk level by adjusted morbidity groups.BMC health services research · 2021Observational
- Chronic diseases in the geriatric population: morbidity and use of primary care services according to risk level.BMC geriatrics · 2021Observational
- [Validity of predictive power of the Adjusted Morbidity Groups (AMG) with respect to others population stratification tools.]Revista espanola de salud publica · 2020Article
- Study protocol of a quasi-experimental trial to compare two models of home care for older people in the primary setting.BMC geriatrics · 2020Article
- Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population.BMC family practice · 2020Article
- [Clinical validation of 2 morbidity groups in the primary care setting].Atencion primaria · 2020Article
- [Adjusted morbidity groups: Characteristics and comorbidities in patients with chronic conditions according to their risk level in Primary Care].Atencion primaria · 2020Observational
- [Health services utilization in Primary Care in patients with chronic conditions according to risk levels].Revista espanola de salud publica · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare the performance in terms of goodness of fit and explanatory power of 2morbidity groupers in primary care (PC): adjusted morbidity groups (AMG) and clinical risk groups (CRG).
designCross-sectional study. LOCATION: PC in the Catalan Institute for the Health (CIH), Catalonia, Spain.
participantsPopulation allocated in primary care centers of the CIH for the year 2014. MAIN MEASUREMENTS: Three indicators of interest are analyzed such as urgent hospitalization, number of visits and spending in pharmacy. A stratified analysis by centers is applied adjusting generalized lineal models from the variables age, sex and morbidity grouping to explain each one of the 3variables of interest. The statistical measures to analyze the performance of the different models applied are the Akaike index, the Bayes index and the pseudo-variability explained by deviance change.
resultsThe results show that in the area of the primary care the explanatory power of the AMGs is higher to that offered by the CRGs, especially for the case of the visits and the pharmacy.
conclusionsThe performance of GMAs in the area of the CIH PC is higher than that shown by the CRGs.
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