IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i5p909-d144447.html
   My bibliography  Save this article

Identification of Depression and Screening for Work Disabilities among Long-Term Unemployed People

Author

Listed:
  • Kirsti Nurmela

    (Faculty of Social Sciences, Health Sciences, University of Tampere, 33014 Tampere, Finland
    Mental Health and Substance Abuse Services, 33900 Tampere, Finland)

  • Aino Mattila

    (Faculty of Social Sciences, Health Sciences, University of Tampere, 33014 Tampere, Finland
    Department of Adult Psychiatry, Tampere University Hospital, 33521 Tampere, Finland)

  • Virpi Heikkinen

    (Department of Neurosciences and Rehabilitation, Tampere University Hospital, 33521 Tampere, Finland)

  • Jukka Uitti

    (Faculty of Medicine and Life Sciences, University of Tampere, 33521 Tampere, Finland
    Clinic of Occupational Medicine, Tampere University Hospital, 33521 Tampere, Finland
    Finnish Institute of Occupational Health, 33100 Tampere, Finland)

  • Aarne Ylinen

    (Department of Neurological Sciences, Faculty of Medicine, University of Helsinki, 00100 Helsinki, Finland
    Department of Neurology, Helsinki University Central Hospital, 00260 Helsinki, Finland)

  • Pekka Virtanen

    (Faculty of Social Sciences, Health Sciences, University of Tampere, 33014 Tampere, Finland
    Department of Public Health, Faculty of Medicine, Uppsala University, 75124 Uppsala, Sweden)

Abstract

The study explores whether clinical screening targeted at work disabilities among long-term unemployed people reveals eligible individuals for a disability pension and the importance of depression in granting the disability pensions. A total of 364 participants of the screening project were considered as eligible to apply for disability pension. Among them, 188 were diagnosed as clinically depressed. They were classified into those with earlier depression diagnosis ( n = 85), those whose depression had not been diagnosed earlier ( n = 103), and those without diagnosed depression ( n = 176). The association of this ‘Depression identification pattern’ with being granted a disability pension was explored by logistic regression analyses. Compared to those with earlier diagnosis, those whose depression had not been diagnosed earlier were granted disability pension more commonly (72% vs. 54% OR 2.2, p = 0.012). Corresponding figures of the undepressed were 73%, OR 2.3, p = 0.002. The adjustments did not affect the results. Clinical examination of the long-term unemployed people in terms of work disability seems to be worthwhile. In particular, the examination reveals new depression diagnoses, which contribute more to the award of disability pension than depression diagnosed earlier by regular health care. Novel ways to detect depression among the unemployed should be implemented in the health and employment services.

Suggested Citation

  • Kirsti Nurmela & Aino Mattila & Virpi Heikkinen & Jukka Uitti & Aarne Ylinen & Pekka Virtanen, 2018. "Identification of Depression and Screening for Work Disabilities among Long-Term Unemployed People," IJERPH, MDPI, vol. 15(5), pages 1-11, May.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:909-:d:144447
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/5/909/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/5/909/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahs, Annika Maria Helen & Westerling, Ragnar, 2006. "Health care utilization among persons who are unemployed or outside the labour force," Health Policy, Elsevier, vol. 78(2-3), pages 178-193, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Syahrir Zaini & Harvin Anbu Manivanna Bharathy & Ahmad Hatim Sulaiman & Jesjeet Singh Gill & Koh Ong Hui & Hasniza Zaman Huri & Siti Hadijah Shamsudin & Ng Chong Guan, 2018. "Development of a Strategic Tool for Shared Decision-Making in the Use of Antidepressants among Patients with Major Depressive Disorder: A Focus Group Study," IJERPH, MDPI, vol. 15(7), pages 1-12, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Erik Schokkaert & Jonas Steel & Carine Van de Voorde, 2017. "Out-of-Pocket Payments and Subjective Unmet Need of Healthcare," Applied Health Economics and Health Policy, Springer, vol. 15(5), pages 545-555, October.
    2. Andreas KUHN & Rafael LALIVE & Josef ZWEIMÜLLER, 2007. "The Public Health Costs of Unemployment," Cahiers de Recherches Economiques du Département d'économie 07.08, Université de Lausanne, Faculté des HEC, Département d’économie.
    3. Gibson, Grant & Clair, Luc, 2019. "O brother how art thou: Propensity to report self-assessed unmet need," Social Science & Medicine, Elsevier, vol. 243(C).
    4. Damiano Fiorillo, 2020. "Reasons for unmet needs for health care: the role of social capital and social support in some western EU countries," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 79-98, March.
    5. Lee, Sang-Yi & Kim, Chul-Woung & Kang, Jeong-Hee & Seo, Nam-Kyu, 2015. "Unmet healthcare needs depending on employment status," Health Policy, Elsevier, vol. 119(7), pages 899-906.
    6. David Cantarero-Prieto & Marta Pascual-Sáez & Javier Lera, 2020. "Healthcare Utilization and Healthy Lifestyles among Elderly People Living in Southern Europe: Recent Evidence from the SHARE," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(1), pages 53-66, March.
    7. Allin, Sara & Grignon, Michel & Le Grand, Julian, 2010. "Subjective unmet need and utilization of health care services in Canada: What are the equity implications?," Social Science & Medicine, Elsevier, vol. 70(3), pages 465-472, February.
    8. Keyi Li & Paula Lorgelly & Sarah Jasim & Tiyi Morris & Manuel Gomes, 2023. "Does a working day keep the doctor away? A critical review of the impact of unemployment and job insecurity on health and social care utilisation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(2), pages 179-186, March.
    9. Picchio, Matteo & Ubaldi, Michele, 2022. "Unemployment and Health: A Meta-Analysis," GLO Discussion Paper Series 1128, Global Labor Organization (GLO).
    10. Riikka Lämsä & Anu E. Castaneda & Anneli Weiste & Marianne Laalo & Päivikki Koponen & Hannamaria Kuusio, 2020. "The Role of Perceived Unjust Treatment in Unmet Needs for Primary Care Among Finnish Roma Adults," IJERPH, MDPI, vol. 17(16), pages 1-15, August.
    11. Kuhn, Andreas & Lalive, Rafael & Zweimüller, Josef, 2009. "The public health costs of job loss," Journal of Health Economics, Elsevier, vol. 28(6), pages 1099-1115, December.
    12. David Cantarero-Prieto & Marta Pascual-Sáez & Javier Lera Torres, 2018. "Socioeconomic determinants and health care utilization among elderly people living in Europe: Evidence from the Survey of Health, Ageing and Retirement," Working Papers. Collection B: Regional and sectoral economics 1801, Universidade de Vigo, GEN - Governance and Economics research Network.
    13. Mörk, Eva & Sjögren, Anna & Svaleryd, Helena, 2019. "Parental job loss and child human capital in the short and long run," Working Paper Series 2019:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    14. Romppainen, Katri & Jähi, Rita & Saloniemi, Antti & Virtanen, Pekka, 2010. "Encounters with unemployment in occupational health care: Nurses' constructions of clients without work," Social Science & Medicine, Elsevier, vol. 70(4), pages 605-608, February.
    15. Krug, Gerhard & Prechsl, Sebastian, 2022. "Do changes in network structure explain why unemployment damages health? Evidence from German panel data," Social Science & Medicine, Elsevier, vol. 307(C).
    16. Taina Leinonen & Netta Mäki & Pekka Martikainen, 2017. "Trajectories of Antidepressant Medication before and after the Onset of Unemployment by Subsequent Employment Experience," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-16, January.
    17. Shaw, Caroline & Blakely, Tony & Tobias, Martin, 2011. "Mortality among the working age population receiving incapacity benefits in New Zealand, 1981-2004," Social Science & Medicine, Elsevier, vol. 73(4), pages 568-575, August.
    18. Tipper, Adam, 2010. "Economic models of the family and the relationship between economic status and health," Social Science & Medicine, Elsevier, vol. 70(10), pages 1567-1573, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:909-:d:144447. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.