Adjusted morbidity groups: Characteristics and comorbidities in patients with chronic conditions according to their risk level in Primary Care

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 = 1.362.80)] (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. (C) 2019 Published by Elsevier Espana, S.L.U. This is an open access article under the CC BY-NC-ND license