Evidence map›Paper›PMID 35113882›Full record

ArticlePloS one2022

Use of hospital care services by chronic patients according to their characteristics and risk levels by adjusted morbidity groups.

Jaime Barrio Cortes, María Martínez Cuevas, Almudena Castaño Reguillo, Mariana Bandeira de Oliveira, Miguel Martínez Martín, Carmen Suárez Fernández

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Jaime Barrio CortesPrimary Care Investigation Unit, Madrid Health Service, Madrid, Spain.ORCID 0000-0002-2582-0203
María Martínez CuevasFuencarral Healthcare Center, Madrid Health Service, Madrid, Spain.
Almudena Castaño ReguilloCiudad Jardín Healthcare Center, Madrid Health Service, Madrid, Spain.
Mariana Bandeira de OliveiraCiudad Jardín Healthcare Center, Madrid Health Service, Madrid, Spain.
Miguel Martínez MartínInternal Medicine Department, La Princesa Universitary Hospital, Madrid, Spain.
Carmen Suárez FernándezInternal Medicine Department, La Princesa Universitary Hospital, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn-hospital care of chronic patients is based on their characteristics and risk levels. Adjusted morbidity groups (AMG) is a population stratification tool which is currently being used in Primary Care but not in Hospitals. The objectives of this study were to describe the use of hospital services by chronic patients according to their risk levels assigned by AMG and to analyze influencing variables. MATERIAL AND

methodsIn this cross-sectional study, patients aged ≥18 years from a healthcare service area classified as chronically ill by the AMG classification system who used their referral hospital services from June 2015 to June 2016 were included. Predisposing and needs factors were collected. Univariate, bivariate and multiple linear regressions were performed.

resultsOf the 9,443 chronic patients identified (52.1% of the population in the selected area), 4,143 (43.9%) used hospital care services. Their mean age was 62.1 years (standard deviation (SD) = 18.4); 61.8% were female; 9% were high risk; 30% were medium risk, and 61% were low risk. The mean number of hospital service contacts was 5.0 (SD = 6.2), with 3.8 (SD = 4.3) visits to outpatient clinic, 0.7 (SD = 1.2) visits to emergency departments, 0.3 (SD = 2.8) visits to day hospital, and 0.2 (SD = 0.5) hospitalizations. The factors associated with greater service use were predisposing factors such as age (coefficient B (CB) = 0.03; 95% confidence interval (CI) = 0.01-0.05) and Spanish origin (CB = 3.9; 95% CI = 3.2-4.6). Among the needs factors were palliative care (CB = 4.8; 95% CI = 2.8-6.7), primary caregiver status (CB = 2.3; 95% CI = 0.7-3.9), a high risk level (CB = 2.9; 95% CI = 2.1-3.6), multimorbidity (CB = 0.8, 95% CI = 0.4-1.3), chronic obstructive pulmonary disease (COPD) (CB = 1.5, 95% CI = 0.8-2.3), depression (CB = 0.8, 95% CI = 0.3-1.3), active cancer (CB = 4.4, 95% CI = 3.7-5.1), and polymedication (CB = 1.1, 95% CI = 0.5-1.7).

conclusionsThe use of hospital services by chronic patients was high and increased with the risk level assigned by the AMG. The most frequent type of contact was outpatient consultation. Use was increased with predisposing factors such as age and geographic origin and by needs factors such as multimorbidity, risk level and severe diseases requiring follow-up, home care, and palliative care.

Indexed as

HospitalizationAdultAgedAged, 80 and overChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedMorbidityRisk Factors

Identifiers

PMID35113882
PMCPMC8812854

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LicenceCC BY
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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.