000147929 001__ 147929
000147929 005__ 20250109162738.0
000147929 0247_ $$2doi$$a10.1186/s12913-024-12178-3
000147929 0248_ $$2sideral$$a141438
000147929 037__ $$aART-2025-141438
000147929 041__ $$aeng
000147929 100__ $$0(orcid)0000-0002-7194-8275$$aMalo, Sara$$uUniversidad de Zaragoza
000147929 245__ $$aPrimary care utilisation in different patients’ profiles with cardiovascular risk factors
000147929 260__ $$c2025
000147929 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147929 5203_ $$aBackground
This study aimed to identify profiles of patients with cardiovascular disease (CVD) risk factors, based on their sociodemographic and clinical characteristics, and to analyse how their complexity is related to their frequency of visits in Primary Care.
Methods
Observational longitudinal study conducted in the Spanish CArdiovascular Risk factors for HEalth Services research (CARhES) cohort. Individuals older than 15 with hypertension, type 2 diabetes mellitus (DM) and/or dyslipidaemia in 2017 were selected and followed until 2021. Cluster analyses were performed to identify patients’ profiles according to age, sex and morbidity burden. Characteristics and annual visits in Primary Care in the different profiles were described. Panel data models were applied to study the variability of the frequency of visits to both physicians and nurses in Primary Care in the profiles across different time points.
Results
In this population-based cohort of 446,998 individuals, different profiles were identified among those with hypertension, type 2 DM and/or dyslipidaemia. Profiles comprising the elderly showed the highest morbidity burden. Among the profiles of individuals under 80, those that included women had a higher burden than profiles with men. This higher complexity was associated with higher frequency of Primary Care visits, regardless of the patient’s socioeconomic level and depopulation level of his/her Basic Health Area.
Conclusions
Women and the elderly comprised the profiles with the highest morbidity burden and Primary Care attendance. Tailoring care and resources according to the complexity profile is essential to ensure that patients receive the best possible care based on their needs.
000147929 536__ $$9info:eu-repo/grantAgreement/ES/DGA-GRISSA/B09-23R$$9info:eu-repo/grantAgreement/ES/ISCIII/PI22-01193
000147929 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000147929 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000147929 700__ $$0(orcid)0000-0003-1647-3462$$aMaldonado, Lina$$uUniversidad de Zaragoza
000147929 700__ $$0(orcid)0000-0002-6671-5661$$aRabanaque, María José$$uUniversidad de Zaragoza
000147929 700__ $$aBengoa-Urrengoechea, Irantzu
000147929 700__ $$0(orcid)0000-0002-5064-3763$$aCastel-Feced, Sara$$uUniversidad de Zaragoza
000147929 700__ $$0(orcid)0000-0001-8756-114X$$aSánchez-Calavera, María Antonia$$uUniversidad de Zaragoza
000147929 700__ $$0(orcid)0000-0001-7293-701X$$aAguilar-Palacio, Isabel$$uUniversidad de Zaragoza
000147929 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000147929 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000147929 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000147929 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000147929 773__ $$g42 (2025), [11 pp.]$$pBMC HEALTH SERV RES$$tBMC HEALTH SERVICES RESEARCH$$x1472-6963
000147929 8564_ $$s832602$$uhttps://zaguan.unizar.es/record/147929/files/texto_completo.pdf$$yVersión publicada
000147929 8564_ $$s2095262$$uhttps://zaguan.unizar.es/record/147929/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000147929 909CO $$ooai:zaguan.unizar.es:147929$$particulos$$pdriver
000147929 951__ $$a2025-01-09-14:42:01
000147929 980__ $$aARTICLE