Aims: To 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.
Design: Observational cross-sectional study with an analytical focus.
Location: Primary care (PC), Madrid Health Service.
Participants: Population 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.
Results: Of 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).
Conclusions: More 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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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025976 | PMC |
| http://dx.doi.org/10.1016/j.aprim.2018.12.007 | DOI Listing |
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