Observational studyAtencion primaria2020
[Adjusted morbidity groups: Characteristics and comorbidities in patients with chronic conditions according to their risk level in Primary Care].
Observational study in Atencion primaria, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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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
8 citing papers in PubMed.
- Health Literacy and Medication Adherence in Polypharmacy: A Systematic Review for Clinical Practice.Cureus · 2025Review
- Factors associated with prescription of modern antidiabetics in newly diagnosed patients with type 2 diabetes. a real-world data study in a Spanish region.Frontiers in pharmacology · 2025Article
- Comorbidities and use of health services in people with diabetes mellitus according to risk levels by adjusted morbidity groups.BMC endocrine disorders · 2024Article
- Prevalence of Steinert's Myotonic Dystrophy and Utilization of Healthcare Services: A Population-Based Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- Situation of the Elderly Living Alone: Morbidity and Services Provided from the Field of Primary Health Care of Gran Canaria.Healthcare (Basel, Switzerland) · 2022Article
- Use of hospital care services by chronic patients according to their characteristics and risk levels by adjusted morbidity groups.PloS one · 2022Article
- 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
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo describe the characteristics of patients with chronic conditions according to their risk levels assigned by the adjusted morbidity groups (AMG). To analyse the factors associated with a high risk level and to study their effect.
designObservational cross-sectional study with an analytical focus. LOCATION: Primary care (PC), Madrid Health Service.
participantsPopulation of 18,107 patients stratified by their risk levels with the AMG in the computerised clinical records of Madrid PC. MAIN MEASUREMENTS: The variables studied were: socio-demographic, clinical-nursing care and use of services. Univariate, bivariate, and multivariate analysis were performed.
resultsOf the 18,107 patients, 9,866(54.4%) were identified as chronic patients, with 444 (4.5%) stratified as high risk, 1784 (18,1%) as medium risk, and 7,638 (77.4%) as low risk. The high risk patients, compared with medium and low risk, had an older mean age [77.8 (SD=12.9), 72.1 (SD=12.9), 50.6 (SD=19.4)], lower percentage of women (52.3%, 65%, 61.1%), a higher number of chronic diseases [6.7 (SD=2.4), 4.3 (SD=1.5), 1.9 (SD=1.1)], polymedication (79.1%, 43.3%, 6.2%), and contact with PC [33.9 (28), 21.4 (17.3), 7.9 (9.9)] (P<.01). In the multivariate analysis, the high risk level was independently related to age>65 [1.43 (1.03-1.99), male gender (OR=3.46, 95% CI=2.64-4.52), immobility (OR=6.33, 95% CI=4.40-9.11), number of chronic conditions (OR=2.60, 95% CI=2.41-2.81), and PC contact>7 times (OR=1.95, 95% CI=1.36-2.80)] (P<.01).
conclusionsMore than half of the population is classified by the AMG as a chronic, and it is stratified into 3 risk levels that show differences in gender, age, functional impairment, need for care, morbidity, complexity, and use of Primary Care services. Age>65, male gender, immobility, number of chronic conditions, and contact with PC>7 times were the factors associated with high risk.
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