Evidence map›Paper›PMID 36641483›Full record

Observational studyBMC primary care2023

"Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records".

Núria Mora, Francesc Fina, Leonardo Méndez-Boo, Roser Cantenys, Mència Benítez, Nemesio Moreno, Elisabet Balló, Eduardo Hermosilla, Mireia Fàbregas, Carolina Guiriguet and 6 more

Abstract readObservational Study
In one paragraph

Observational study in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Núria MoraPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Francesc FinaPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Leonardo Méndez-BooPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Roser CantenysPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Mència BenítezPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Nemesio MorenoPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Elisabet BallóPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Eduardo HermosillaPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Mireia FàbregasPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Carolina GuiriguetPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
Xavier CosDirecció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain.
Sara RodoredaDirecció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain.
Ariadna MasDirecció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain.
Yolanda LejardiDirecció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain.
Ermengol ComaPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain. ecomaredon@gencat.cat.
Manuel MedinaPrimary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of chronic diseases during the COVID-19 pandemic has drastically been reduced worldwide due to disruptions in healthcare systems. The aim of our study is to analyse the trends in the incidence of 7 commonly managed primary care chronic diseases during the last 2 years of the COVID-19 pandemic in Catalonia.

methodsWe performed an observational retrospective population-based study using data from primary care electronic health records from January 2018 to August 2022 (5.1 million people older than 14 years). We divided the study period into two: a pre-pandemic period (before 14 March 2020) and a pandemic period. We performed a segmented regression analysis of daily incidence rates per 100,000 inhabitants of 7 chronic diseases: type 2 diabetes mellitus (T2DM), asthma, chronic obstructive pulmonary disease (COPD), ischemic heart disease (IHD), heart failure (HF), hypertension and hypercholesterolemia. In addition, we compared annual incidence between pandemic years (2020, 2021 and 2022) and 2019. Associated incidence rate ratios (IRR) were also calculated. Finally, we estimated the number of expected diagnoses during the pandemic period using data from 2019 and we compared it with the observed data.

resultsWe analysed 740,820 new chronic diseases' diagnoses. Daily incidence rates of all 7 chronic diseases were drastically interrupted on 14 March 2020, and a general upward trend was observed during the following months. Reductions in 2020 were around 30% for all conditions except COPD which had greater reductions (IRR: 0.58 [95% CI: 0.57 to 0.6]) and HF with lesser drops (IRR: 0.86 [95% CI: 0.84 to 0.88]). Some of the chronic conditions have returned to pre-pandemic diagnosis levels, except asthma, COPD and IHD. The return to pre-pandemic diagnosis levels compensated for the drops in 2020 for T2DM and HF, but not for hypertension which presented an incomplete recovery. We also observed an excess of hypercholesterolemia diagnoses of 8.5% (95%CI: 1.81% to 16.15%).

conclusionsAlthough primary care has recovered the pre-pandemic diagnosis levels for some chronic diseases, there are still missing diagnoses of asthma, COPD and IHD that should be addressed.

Indexed as

AsthmaCOVID-19Diabetes Mellitus, Type 2Heart FailureHypercholesterolemiaHypertensionPulmonary Disease, Chronic ObstructiveChronic DiseaseElectronic Health RecordsHumansPandemicsPrimary Health CareRetrospective StudiesChronic diseasesCOVID-19Electronic health recordsIncidencePrimary care

Identifiers

PMID36641483
PMCPMC9840158

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.