ArticleRevista espanola de salud publica2020
[Validity of predictive power of the Adjusted Morbidity Groups (AMG) with respect to others population stratification tools.]
Article in Revista espanola de salud publica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Telerehabilitation improves cardiorespiratory and muscular fitness and body composition in older people with post-COVID-19 syndrome.Journal of cachexia, sarcopenia and muscle · 2024Trial
- Extracellular-to-total body water ratio is associated with comorbidity and cardiorespiratory fitness in older adults with post-COVID-19 syndrome.Frontiers in nutrition · 2026Article
- Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy.BMC public health · 2024Article
- [Primary Health Care, adequacy of quotas and Family Care Units. A flexible model according to complexity and sociodemographic characteristics].Revista espanola de salud publica · 2024Article
- Comorbidities and use of health services in people with diabetes mellitus according to risk levels by adjusted morbidity groups.BMC endocrine disorders · 2024Article
- Predicting healthcare expenditure based on Adjusted Morbidity Groups to implement a needs-based capitation financing system.Health economics review · 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
- Care Needs of Highly Complex Chronic Patients in the Canary Islands: An Observational Study.Nursing reports (Pavia, Italy) · 2022Article
- Impaired pulmonary and muscle function during moderate exercise in female patients recovered from SARS-CoV-2.Scientific reports · 2022Article
- 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
- Use of hospital care services by chronic patients according to their characteristics and risk levels by adjusted morbidity groups.PloS one · 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
- Severe loss of mechanical efficiency in COVID-19 patients.Journal of cachexia, sarcopenia and muscle · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis work was performed in order to get objective elements of judgment that support the improvement of a national population morbidity grouper based in the Adjusted Morbidity Groups (AMG). The study compared the performance in terms of predictive power on certain health and resource outcomes, in between the AMG and several existing morbidity groupers (ACG®, Adjusted Clinical Groups and CRG®, Clinical Risk Group) used in some Autonomous Regions in Spain (Aragón, Canarias y Castilla y León).
methodsCross-sectional analytical study in entitled/insured population with respect to rights of healthcare. Predictive capacity of the complexity weight obtained with the different stratification tools in the first year of the study period was evaluated using a simple classification method that compares the areas under the curves ROC for the following outcomes that occurred in the second year of the study period: Probability of death; probability of having at least one urgent hospital admission; total number of visits to hospital emergencies; total number of visits to primary care; total number of visits to hospital care and spending in pharmacy.
resultsThe results showed that AMG complexity weight were good predictors for almost all the analyzed outcomes (AUC ROC>0.7; p<0.05), for the different Autonomous Regions and compared to ACG® or CRG®. Only for the outcome of visits to hospital emergencies in Aragon and Canarias; and visits to specialized care in Aragon, the predictive power was weak for all the compared stratification tools.
conclusionsGMA® is a population stratification tool adequate and as useful as others existing morbidity groupers.
Indexed as
Identifiers
32618288PMC11582759W3040572583What OpenQuestion holds
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.