Evidence map›Paper›PMID 30965571›Full record

ArticleInternational journal of environmental research and public health2019

Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis.

Tu N Nguyen, Patrice Ngangue, Tarek Bouhali, Bridget L Ryan, Moira Stewart, Martin Fortin

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

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  11. Researching for answers.Canadian family physician Medecin de famille canadien · 2024
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  20. Identification of socially vulnerable cancer patients - development of a register-based index (rSVI).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    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

6 authors at 2 institutions in 1 country.

Tu N NguyenFaculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada. nntu81@gmail.com.ORCID 0000-0002-8836-8920
Patrice NgangueFaculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada. patrice.ngangue@usherbrooke.ca.ORCID 0000-0002-5204-7420
Tarek BouhaliFaculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada. tarek.bouhali@usherbrooke.ca.
Bridget L RyanCentre for Studies in Family Medicine, Department of Family Medicine, and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada. bryan@uwo.ca.ORCID 0000-0001-9080-5635
Moira StewartCentre for Studies in Family Medicine, Department of Family Medicine, and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada. moira@uwo.ca.
Martin FortinFaculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada. martin.fortin@usherbrooke.ca.ORCID 0000-0002-9874-3771
Université de Sherbrooke · CAWestern University · CA

Funding

CIHR 297943
6 · The paper itself

Abstract

backgroundSocial aspects play an important role in individual health and should be taken into consideration in the long-term care for people with multimorbidity. PURPOSES: To describe social vulnerability, to examine its correlation with the number of chronic conditions, and to investigate which chronic conditions were significantly associated with the most socially vulnerable state in patients with multimorbidity.

methodsCross-sectional analysis from the baseline data of the Patient-Centred Innovations for Persons with Multimorbidity (PACEinMM) Study. Participants were patients attending primary healthcare settings in Quebec, Canada. A social vulnerability index was applied to identify social vulnerability level. The index value ranges from 0 to 1 (1 as the most vulnerable). Spearman's rank correlation coefficient was calculated for the correlation between the social vulnerability index and the number of chronic conditions. Logistic regression was applied to investigate which chronic conditions were independently associated with the most socially vulnerable state.

resultsThere were 301 participants, mean age 61.0 ± 10.5, 53.2% female. The mean number of chronic health conditions was 5.01 ± 1.82, with the most common being hyperlipidemia (78.1%), hypertension (69.4%), and obesity (54.2%). The social vulnerability index had a median value of 0.13 (range 0.00⁻0.78). There was a positive correlation between the social vulnerability index and the number of chronic conditions (r = 0.24,

conclusionsThere was a significant correlation between social vulnerability and the total number of chronic conditions, with depression/anxiety, obesity, and cardiovascular diseases being the most related to social vulnerability.

Indexed as

MultimorbidityVulnerable PopulationsAdultAgedCardiovascular DiseasesChronic DiseaseCross-Sectional StudiesDepressionFemaleHumansHyperlipidemiasHypertensionLogistic ModelsMaleMiddle AgedObesitymultimorbidityprimary caresocial vulnerability

Identifiers

PMID30965571
PMCPMC6480630
OpenAlexW2925877614

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.