Pattern of inpatient care for depression: an analysis of 232,289 admissions

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background

The prevalence of major depressive disorder (MDD) in women is up to 50% higher as compared to men. However, little is known about discrepancies in health care utilization between depressed female and male patients. Consequently, the aim of the present study was to elucidate gender differences regarding the frequency of hospital admissions and the length of inpatient treatment for MDD across the lifespan.

Methods

This nationwide, registry-based study analyzed all inpatient admissions in psychiatric hospitals due to recurrent/non-recurrent MDD episodes according to ICD-10 (moderate (F32/33.1), severe (F32/33.2), severe with psychotic features (F32/33.3)) in Austria across 14 years. We calculated weekly admission rates per 100,000 patients by directly age-standardized rates.

Results

Across 232,289 admissions (63.2% female) the population based admission rates in MDD were significantly higher in women ( p < 0.001). Female to male ratios across subgroups were 1.65 (F32/33.1), 1.58 (F32/33.2), 1.73 (F32/33.3), and peaked around 65 years (ratio ≥ 2 for all subgroups). Length of hospital stay for women was significantly longer in all depression subtypes ( p < 0.001).

Conclusions

Elevated rates of inpatient treatment in women cannot solely be explained by a higher MDD prevalence and are dependent on age and type of depressive episode. Irrespective of the type and severity of the mood episode, women exhibit longer hospitalisation times.

Related collections

Most cited references 35

Record: found
Abstract: found
Article: not found

Genetic epidemiology of major depression: review and meta-analysis.

Robert Sullivan, K Kendler, Benjamin M. Neale (2000)

The authors conducted a meta-analysis of relevant data from primary studies of the genetic epidemiology of major depression. The authors searched MEDLINE and the reference lists of previous review articles to identify relevant primary studies. On the basis of a review of family, adoption, and twin studies that met specific inclusion criteria, the authors derived quantitative summary statistics. Five family studies met the inclusion criteria. The odds ratios for proband (subjects with major depression or comparison subjects) versus first-degree relative status (affected or unaffected with major depression) were homogeneous across the five studies (Mantel-Haenszel odds ratio=2.84, 95% CI=2.31-3.49). No adoption study met the inclusion criteria, but the results of two of the three reports were consistent with genetic influences on liability to major depression. Five twin studies met the inclusion criteria, and their statistical summation suggested that familial aggregation was due to additive genetic effects (point estimate of heritability of liability=37%, 95% CI=31%-42%), with a minimal contribution of environmental effects common to siblings (point estimate=0%, 95% CI=0%-5%), and substantial individual-specific environmental effects/measurement error (point estimate=63%, 95% CI=58%-67%). The literature suggests that recurrence best predicts the familial aggregation of major depression. Major depression is a familial disorder, and its familiality mostly or entirely results from genetic influences. Environmental influences specific to an individual are also etiologically significant. Major depression is a complex disorder that does not result from either genetic or environmental influences alone but rather from both. These findings are notably consistent across samples and methods and are likely to be generally applicable.

0 comments Cited 255 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

The role of masculinity in men's help-seeking for depression: A systematic review.

Zac E Seidler, Alexei Dawes, Simon M. Rice … (2016)

Conformity to traditional masculine gender norms may deter men's help-seeking and/or impact the services men engage. Despite proliferating research, current evidence has not been evaluated systematically. This review summarises findings related to the role of masculinity on men's help-seeking for depression.

0 comments Cited 253 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Gender differences in depression. Epidemiological findings from the European DEPRES I and II studies.

M Gastpar, J Lépine, J. Mendlewicz … (2002)

While there is ample evidence that the prevalence rates for major depressive disorder (MDD) in the general population are higher in women than in men, there is little data on gender differences as regard to symptoms, causal attribution, help-seeking, coping, or the consequences of depression. The large DEPRES Study dataset covering representative population samples of six European countries (wave I: 38,434 men and 40,024 women; wave II: 563 men and 1321 women treated for depression) was analyzed for gender differences. In wave I marked gender differences were found in the six-month prevalence rate for major depression but less so for minor depression; the gender differences for major depression persisted across all age groups. Even after stratification by clinically significant impairment and paid employment status, men reported fewer symptoms than women; as a consequence, men reached the diagnostic threshold less often. In wave II there were clear gender differences in causal attribution and in coping. Men coped by increasing their sports activity and consumption of alcohol and women through emotional release and religion. Women felt the effects of depression in their quality of sleep and general health, whereas men felt it more in their ability to work. The second wave of the study comprises treated depressives only and may be less representative than the first wave.

0 comments Cited 133 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Matthäus Fellinger:

ORCID: http://orcid.org/0000-0003-4859-1949

matthaeus.fellinger@meduniwien.ac.at

Journal

Journal ID (nlm-ta): BMC Psychiatry

Journal ID (iso-abbrev): BMC Psychiatry

Title: BMC Psychiatry

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-244X

Publication date (Electronic): 16 July 2020

Publication date PMC-release: 16 July 2020

Publication date Collection: 2020

Volume: 20

Electronic Location Identifier: 375

Affiliations

[1 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Clinical Division of General Psychiatry, Department of Psychiatry and Psychotherapy, , Medical University of Vienna, ; Vienna, Austria

[2 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Centre for Public Health, Department of Epidemiology, , Medical University of Vienna, ; Vienna, Austria

[3 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, , Medical University of Vienna, ; Währinger Gürtel 18-20, 1090 Wien, Austria

[4 ]GRID grid.434096.c, ISNI 0000 0001 2190 9211, St. Pölten University of Applied Sciences, ; Sankt Pölten, Austria

Author information

Matthäus Fellinger http://orcid.org/0000-0003-4859-1949

Article

Publisher ID: 2781

DOI: 10.1186/s12888-020-02781-z

PMC ID: 7364660

PubMed ID: 32677945

SO-VID: 8956c6bc-100e-48d3-ae3e-08a6ed871a28

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.