Evidence map›Paper›PMID 38057878›Full record

Observational studyBMC health services research2023

Use of health services and medication use, new comorbidities, and mortality in patients with chronic diseases who did not contract COVID-19 during the first year of the pandemic: a retrospective study and comparison by sex.

Liliana Mahuela, Bárbara Oliván-Blázquez, Ana Lear-Claveras, Fátima Méndez-López, Mario Samper-Pardo, Sandra León-Herrera, Rosa Magallón-Botaya, María Antonia Sánchez-Calavera

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Liliana MahuelaInstitute for Health Research Aragon (IISAragon), Zaragoza, Spain.
Bárbara Oliván-BlázquezInstitute for Health Research Aragon (IISAragon), Zaragoza, Spain.
Ana Lear-ClaverasAragones Group of Research in Primary Health Care (GAIAP), Zaragoza, Spain.
Fátima Méndez-LópezInstitute for Health Research Aragon (IISAragon), Zaragoza, Spain. Fmendez@iisaragon.es.
Mario Samper-PardoDepartment of Medicine, University of Zaragoza, Zaragoza, Spain.
Sandra León-HerreraDepartment of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain.
Rosa Magallón-BotayaInstitute for Health Research Aragon (IISAragon), Zaragoza, Spain.
María Antonia Sánchez-CalaveraAragones Group of Research in Primary Health Care (GAIAP), Zaragoza, Spain.
Instituto de Investigación Sanitaria Aragón · ESUniversidad de Zaragoza · ES

Funding

Department for Science, Universities and the Knowledge Society of the Government of Aragon DGACOVID-01Department of Innovation, Research and University at the Government of Aragón (Spain) B21_23R
6 · The paper itself

Abstract

backgroundThe restrictions introduced to stop the spread of the COVID-19 virus have also had a direct impact on people with chronic diseases and especially on diseases to which lifestyles are relevant in their control and management, such as diabetes, hypertension, chronic obstructive pulmonary disease (COPD), etc. The purpose of this paper is to conduct a longitudinal analysis of new comorbidities, mortality, medication use, and the use of health resources in patients with chronic diseases who did not contract COVID-19, comparing the six months before the strict lockdown to the 12 months following the end of the strict lockdown.

methodAn observational real world data pre-post study of 668,974 people was undertaken. The patients studied were over 16 years of age, had been receiving care from the Aragon Health Service (Northeastern Spain), were diagnosed with one or more chronic diseases, and had not contracted COVID-19. Sociodemographic, comorbidity, pharmacological and health resource use variables were collected during the six months before the onset of the lockdown and during the six and 12 months following the end of the lockdown. The comparisons by sex were carried out using a Student T-test or chi-squared test to analyse differences.

resultsDyslipidaemia (42.1%) followed by hypertension (35.1%) and anxiety and depression (34.6%) were the most prevalent chronic diseases among the study population. 78.% of patients had between one and four chronic illnesses. There was a decrease in new diagnoses of other chronic comorbidities in this population and a decrease in medications prescribed and the use of health services.  Although women received more diagnoses of chronic diseases, the number of medications dispensed was lower, but the use of health services was higher. These figures were maintained throughout the pandemic.

conclusionOur results suggest an underdiagnosis of new chronic comorbidities and a decrease in mortality rates from causes unrelated to COVID-19 due to the closure of health centres in Aragón (Spain) during the lockdown. This trend was exacerbated in women. The underdiagnosis of new chronic comorbidities during confinement can cause the disease to worsen, with the consequent increase in symptoms and the worsening of chronic pathologies in patients with a severe evolution.

Indexed as

Chronic DiseaseCOVID-19Communicable Disease ControlComorbidityFemaleHealth ServicesHumansHypertensionMalePandemicsRetrospective StudiesSpainChronic DiseasesComorbidityCOVID-19 pandemicGenderHealth servicesLockdownPrimary health care

Identifiers

PMID38057878
PMCPMC10698932
OpenAlexW4389398589

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.