Evidence map›Paper›PMID 39773646›Full record

Observational studyBMC health services research2025

Primary care utilisation in different patients' profiles with cardiovascular risk factors.

Sara Malo, Lina Maldonado, María José Rabanaque, Irantzu Bengoa-Urrengoechea, Sara Castel-Feced, María Antonia Sánchez-Calavera, Isabel Aguilar-Palacio

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sara MaloDepartment of Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain. smalo@unizar.es.
Lina MaldonadoGrupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Fundación Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
María José RabanaqueDepartment of Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain.
Irantzu Bengoa-UrrengoecheaGrupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Fundación Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
Sara Castel-FecedGrupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Fundación Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
María Antonia Sánchez-CalaveraNetwork for Research On Chronicity, Primary Care, and Health Promotion (RICAPPS), ISCIII, Madrid, Spain.
Isabel Aguilar-PalacioDepartment of Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis 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.

methodsObservational 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.

resultsIn 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.

conclusionsWomen 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.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Heart Disease Risk FactorsPrimary Health CareAdultAgedAged, 80 and overAge FactorsDyslipidemiasFemaleHumansHypertensionLongitudinal StudiesMaleMiddle AgedPatient Acceptance of Health CareBig DataCardiovascular diseasesHealth care utilizationLongitudinal studyPredictive medicinePrimary health careRisk factors, Spain

Identifiers

PMID39773646
PMCPMC11707849

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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.