Evidence map›Paper›PMID 33376316›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

Healthcare Service Usage and Costs for Elderly Patients with Obstructive Lung Disease.

Alessandra Buja, Stefania Elvini, Riccardo Caberlotto, Carlo Pinato, Simona Fortunata Mafrici, Giulia Grotto, Enrica Bicciato, Tatjana Baldovin, Giulia Zumerle, Pietro Gallina and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. 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

11 authors at 2 institutions in 1 country.

Alessandra BujaDepartment of Cardiologic, Vascular, and Thoracic Sciences, and Public Health, University of Padua, Padova, Italy.ORCID 0000-0003-2216-3807
Stefania ElviniControllo di Gestione, AULSS 6 Euganea, Regione Veneto, Padova, Italy.ORCID 0000-0001-5012-0228
Riccardo CaberlottoSchool of Specialization in Hygiene, Preventive Medicine and Public Health, University of Padua, Padova, Italy.
Carlo PinatoDepartment of Cardiologic, Vascular, and Thoracic Sciences, and Public Health, University of Padua, Padova, Italy.
Simona Fortunata MafriciSchool of Specialization in Hygiene, Preventive Medicine and Public Health, University of Padua, Padova, Italy.
Giulia GrottoSchool of Specialization in Hygiene, Preventive Medicine and Public Health, University of Padua, Padova, Italy.ORCID 0000-0003-0562-2717
Enrica BicciatoSchool of Specialization in Hygiene, Preventive Medicine and Public Health, University of Padua, Padova, Italy.
Tatjana BaldovinDepartment of Cardiologic, Vascular, and Thoracic Sciences, and Public Health, University of Padua, Padova, Italy.
Giulia ZumerleControllo di Gestione, AULSS 6 Euganea, Regione Veneto, Padova, Italy.ORCID 0000-0002-7977-4601
Pietro GallinaDirezione Sanitaria, AULSS 6 Euganea, Regione Veneto, Padova, Italy.
Vincenzo BaldoDepartment of Cardiologic, Vascular, and Thoracic Sciences, and Public Health, University of Padua, Padova, Italy.ORCID 0000-0001-6012-9453
University of Padua · ITRegione del Veneto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The worldwide prevalence of obstructive lung disease (OLD) is increasing, especially among people >65 years old, and nearly three in four adults with OLD have two or more comorbid conditions. This study describes the impact of such comorbidities on the healthcare service usage and related costs in a country with universal health coverage, basing on a large cohort of elderly patients with OLD and employing real-world data. Methods: We carried out a retrospective cohort study on a large population of elderly (age >64 years) patients with OLD served by a Local Health Unit in northern Italy. Their comorbidities were assessed using the clinical diagnoses assigned by the Adjusted Clinical Group (ACG) system to individual patients by combining different information flows. Correlations between number of comorbidities and total annual healthcare service usage and costs were examined with Spearman's test. Regression models were applied to analyze the associations between the above-mentioned variables, adjusting for age and sex. Results: All types of healthcare service usage (access to emergency care; number of outpatient visits; number of hospital admissions) and pharmacy costs increased significantly with the number of comorbidities. Average total annual costs increased steadily with the number of comorbidities, ranging from € 1158.84 with no comorbidities up to € 9666.60 with 6 comorbidities or more. Poisson regression analyses showed an independent association between the number of comorbidities and the use of every type of healthcare service. Conclusion: These results based on real-world data provide evidence that the burden of care for OLD patients related to their comorbidities is independent of and in addition to the burden related to OLD alone and is strongly dependent on the number of comorbidities, suggesting a holistic approach to multimorbid patients with OLD is the most sound public health strategy.

Indexed as

Pulmonary Disease, Chronic ObstructiveAdultAgedDelivery of Health CareHealth Care CostsHealth ServicesHumansItalyMiddle AgedRetrospective Studiescomorbiditieshealthcare costshealthcare service usageobstructive lung disease

Identifiers

PMID33376316
PMCPMC7755892
OpenAlexW3112148031

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.