Association between neighborhood socioeconomic status and healthcare utilization among individuals with a first diagnosis of major depressive disorder in primary care in the Stockholm region.

Antidepressant Healthcare utilization Major depressive disorder Neighborhood Socioeconomic status

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
22 Jun 2024
Historique:
received: 01 02 2024
revised: 19 04 2024
accepted: 19 06 2024
medline: 25 6 2024
pubmed: 25 6 2024
entrez: 24 6 2024
Statut: aheadofprint

Résumé

Population-based surveys suggest that low socioeconomic status (SES) is associated with higher prevalence of depressive symptoms, while their healthcare utilization is not necessarily higher. To investigate the association between neighborhood socioeconomic status (NSES) and healthcare utilization among individuals diagnosed with major depressive disorder (MDD). This was a retrospective longitudinal study of all adults with a first MDD diagnosis within primary care during 2010-2018. NSES was defined by the household area of residence using the Mosaic™ classification. Outcomes were AD (antidepressants) (N06A) dispensation and psychiatric outpatient visit, both of which are outlined as options in depression guidelines. Cox multivariable regression was used for the time to event analyses. A total of 117,193 individuals were included, of which 87,499 (75 %) were dispensed an AD and 35,989 (31 %) had a recorded psychiatric outpatient visit. Low NSES was associated with lower rate of AD dispensation in the first-year post-diagnosis (HR: 0.95, 95 % CI: 0.93-0.96, p < 0.001) and higher rate of psychiatric visit (HR: 1.10, 95 % CI: 1.07-1.12, p < 0.001) compared with high NSES. Data sources have high coverage. A minority of psychiatric care provided by non-publicly financed providers was not included. It was not possible to adjust for depression severity. Socioeconomic status as measured by the neighborhood of residency was associated with AD dispensation and psychiatric outpatient visit in MDD, also in a healthcare system with virtually free access. This is of relevance for clinical practice, considering the focus on equity of care and the increase in depression prevalence worldwide.

Sections du résumé

BACKGROUND BACKGROUND
Population-based surveys suggest that low socioeconomic status (SES) is associated with higher prevalence of depressive symptoms, while their healthcare utilization is not necessarily higher.
OBJECTIVE OBJECTIVE
To investigate the association between neighborhood socioeconomic status (NSES) and healthcare utilization among individuals diagnosed with major depressive disorder (MDD).
METHOD METHODS
This was a retrospective longitudinal study of all adults with a first MDD diagnosis within primary care during 2010-2018. NSES was defined by the household area of residence using the Mosaic™ classification. Outcomes were AD (antidepressants) (N06A) dispensation and psychiatric outpatient visit, both of which are outlined as options in depression guidelines. Cox multivariable regression was used for the time to event analyses.
RESULTS RESULTS
A total of 117,193 individuals were included, of which 87,499 (75 %) were dispensed an AD and 35,989 (31 %) had a recorded psychiatric outpatient visit. Low NSES was associated with lower rate of AD dispensation in the first-year post-diagnosis (HR: 0.95, 95 % CI: 0.93-0.96, p < 0.001) and higher rate of psychiatric visit (HR: 1.10, 95 % CI: 1.07-1.12, p < 0.001) compared with high NSES.
LIMITATIONS CONCLUSIONS
Data sources have high coverage. A minority of psychiatric care provided by non-publicly financed providers was not included. It was not possible to adjust for depression severity.
CONCLUSION CONCLUSIONS
Socioeconomic status as measured by the neighborhood of residency was associated with AD dispensation and psychiatric outpatient visit in MDD, also in a healthcare system with virtually free access. This is of relevance for clinical practice, considering the focus on equity of care and the increase in depression prevalence worldwide.

Identifiants

pubmed: 38914164
pii: S0165-0327(24)01006-1
doi: 10.1016/j.jad.2024.06.074
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Anna Gannedahl reports a relationship with Janssen Cilag AB that includes: employment. Amy Leval reports a relationship with Janssen Cilag AB that includes: employment and equity or stocks. Carl Bjorkholm reports a relationship with Janssen Cilag AB that includes: employment. Johan Lundberg reports a relationship with Janssen Cilag AB that includes: speaking and lecture fees. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Anna Gannedahl (A)

Janssen-Cilag AB, Solna, Sweden; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden. Electronic address: aganneda@its.jnj.com.

Carl Björkholm (C)

Janssen-Cilag AB, Solna, Sweden.

Amy Leval (A)

Janssen-Cilag AB, Solna, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Thomas Cars (T)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Sence Research AB, Uppsala, Sweden.

Clara Hellner (C)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

Johan Lundberg (J)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

Classifications MeSH