Evidence map›Paper›PMID 38149421›Full record

ArticleBMJ open2023

Mortality and healthcare assessment among patients with chronic disease over 2 years of COVID-19: a population-based study in a large hard-hit Italian region.

Daniela Fortuna, Luana Caselli, Elena Berti, Maria Luisa Moro

Abstract read
In one paragraph

Article in BMJ open, 2023. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

4 authors.

Daniela FortunaInnovation in Healthcare and Social Services, Emilia-Romagna Region, Bologna, Emilia-Romagna, Italy daniela.fortuna@regione.emilia-romagna.it.ORCID 0000-0003-0927-7199
Luana CaselliInnovation in Healthcare and Social Services, Emilia-Romagna Region, Bologna, Emilia-Romagna, Italy.
Elena BertiInnovation in Healthcare and Social Services, Emilia-Romagna Region, Bologna, Emilia-Romagna, Italy.
Maria Luisa MoroRegional Agency for Health and Social Care, Emilia-Romagna Region, Bologna, Emilia-Romagna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to provide a region-wide comprehensive account of the indirect effects of COVID-19 on patients with chronic disease, in terms of non-COVID-19 mortality, and access to both inpatient and outpatient health services over a 2-year pandemic period.

designPopulation-based retrospective study.

settingAdult patients, affected by at least 1 of 32 prevalent chronic conditions, residing in the Emilia-Romagna Region in Italy, during the years 2020 (N=1 791 189, 47.7% of the overall adult regional population) and 2021 (N=1 801 071, 47.8%).

resultsOverall, non-COVID-19 mortality among patients with chronic disease during the pandemic (2.7%) did not differ substantially from the expected mortality (2.5%), based on a 3 years prepandemic period (2017-2019) and adjusting for the demographic and clinical characteristics of the population under study. Indeed, while the first pandemic wave was characterised by a significant non-COVID-19 excess mortality (March: +35%), the subsequent phases did not show such disruptive variations in non-COVID-19 deaths, which remained around or even below the excess mortality threshold. End-of-life care of patients with chronic disease, especially for non-COVID-19 cases, significantly shifted from hospitalisations (-19%), to homecare (ADI: +7%; w/o ADI: +9%). Overall, healthcare of patients without COVID-19 chronic disease decreased, with similar negative trends in hospitalisations (-15.5%), major procedures (-19.6%) and ER accesses (-23.7%). Homecare was the least affected by the pandemic, with an overall reduction of -9.8%. COVID-19 outbreak also impacted on different types of outpatient care. Rehabilitation therapies, specialist visits, diagnostic and lab tests were considerably reduced during the first pandemic wave and consequent lockdown, with access rates of patients without COVID-19 chronic disease below -60%.

conclusionsThis work thoroughly describes how a large and well-defined population of patients without COVID-19 chronic disease has been affected by the changes and reorganisation in the healthcare system during 2 years of the pandemic, highlighting health priorities and challenges in chronic disease management under conditions of limited resources.

Indexed as

COVID-19AdultChronic DiseaseCommunicable Disease ControlHealth PrioritiesHumansInpatientsItalyMortalityRetrospective Studieschronic diseasechronic painCOVID-19public healthretrospective studies

Identifiers

PMID38149421
PMCPMC10711920

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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.