Caring for the elderly: A person-centered segmentation approach for exploring the association between health care needs, mental health care use, and costs in Germany.

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    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
    • Abstract:
      Background: Person-centered care demands the evaluation of needs and preferences of the patients. In this study, we conducted a segmentation analysis of a large sample of older people based on their bio-psycho-social-needs and functioning. The aim of this study was to clarify differences in health care use and costs of the elderly in Germany.
      Methods: Data was derived from the 8-year follow-up of the ESTHER study-a German epidemiological study of the elderly population. Trained medical doctors visited n = 3124 participants aged 57 to 84 years in their home. Bio-psycho-social health care needs were assessed using the INTERMED for the Elderly (IM-E) interview. Further information was measured using questionnaires or assessment scales (Barthel index, Patients Health Questionnaire (PHQ) etc.). The segmentation analysis applied a factor mixture model (FMM) that combined both a confirmatory factor analysis and a latent class analysis.
      Results: In total, n = 3017 persons were included in the study. Results of the latent class analysis indicated that a five-cluster-model best fit the data. The largest cluster (48%) can be described as healthy, one cluster (13.9%) shows minor physical complaints and higher social support, while the third cluster (24.3%) includes persons with only a few physical and psychological difficulties ("minor physical and psychological complaints"). One of the profiles (10.5%) showed high and complex bio-psycho-social health care needs ("complex needs") while another profile (2.5%) can be labelled as "frail". Mean values of all psychosomatic variables-including the variable health care costs-gradually increased over the five clusters. Use of mental health care was comparatively low in the more burdened clusters. In the profiles "minor physical and psychological complaints" and "complex needs", only half of the persons suffering from a mental disorder were treated by a mental health professional; in the frail cluster, only a third of those with a depression or anxiety disorder received mental health care.
      Conclusions: The segmentation of the older people of this study sample led to five different clusters that vary profoundly regarding their bio-psycho-social needs. Results indicate that elderly persons with complex bio-psycho-social needs do not receive appropriate mental health care.
      Competing Interests: The authors have declared that no competing interests exist.
    • References:
      J Am Geriatr Soc. 2016 Jan;64(1):19-21. (PMID: 26639104)
      J Psychosom Res. 2011 Feb;70(2):169-78. (PMID: 21262420)
      Perm J. 2014 Summer;18(3):18-21. (PMID: 24937151)
      Am J Geriatr Psychiatry. 2011 Apr;19(4):301-4. (PMID: 21427638)
      BMC Geriatr. 2016 Nov 25;16(1):195. (PMID: 27887645)
      Z Gerontol Geriatr. 2004 Aug;37(4):316-26. (PMID: 15338161)
      J Psychosom Res. 2013 Jun;74(6):459-68. (PMID: 23731742)
      Value Health. 2008 Jul-Aug;11(4):611-20. (PMID: 18179660)
      PLoS One. 2018 Jan 19;13(1):e0190751. (PMID: 29351295)
      Med Care. 2009 Mar;47(3):286-94. (PMID: 19165121)
      Med Care Res Rev. 2011 Feb;68(1):112-27. (PMID: 20555018)
      J Gen Intern Med. 2017 May;32(5):516-523. (PMID: 27271728)
      J Aging Health. 2020 Jan-Feb;32(1):83-94. (PMID: 30326768)
      J Health Polit Policy Law. 2010 Aug;35(4):539-68. (PMID: 21057097)
      Psychosom Med. 2014 Sep;76(7):497-502. (PMID: 25121639)
      Gesundheitswesen. 2005 Oct;67(10):736-46. (PMID: 16235143)
      Eur J Public Health. 2009 Jun;19(3):313-8. (PMID: 19286838)
      PLoS One. 2015 Oct 21;10(10):e0137803. (PMID: 26489096)
      Am J Geriatr Psychiatry. 2014 Oct;22(10):1029-38. (PMID: 23768681)
      J Affect Disord. 2019 Feb 15;245:978-986. (PMID: 30562680)
      J Affect Disord. 2004 Jul;81(1):61-6. (PMID: 15183601)
      Soc Sci Med. 2000 Oct;51(7):1087-110. (PMID: 11005395)
      J Psychosom Res. 2017 May;96:27-31. (PMID: 28545789)
      JAMA. 1996 Jan 10;275(2):152-6. (PMID: 8531314)
      Dtsch Med Wochenschr. 2004 Dec 3;129(49):2643-7. (PMID: 15578318)
      Psychosom Med. 2002 Mar-Apr;64(2):258-66. (PMID: 11914441)
      Soc Sci Med. 2014 Jul;113:68-76. (PMID: 24852657)
      Med Care Res Rev. 2011 Aug;68(4):387-420. (PMID: 21813576)
      BMC Geriatr. 2019 Mar 7;19(1):69. (PMID: 30841859)
      Gerontologist. 2000 Apr;40(2):218-27. (PMID: 10820925)
      Gerontologist. 2006 Aug;46(4):503-13. (PMID: 16921004)
      J Affect Disord. 2009 Apr;114(1-3):163-73. (PMID: 18752852)
      Psychol Methods. 2005 Mar;10(1):21-39. (PMID: 15810867)
      Int J Geriatr Psychiatry. 2019 Feb;34(2):272-279. (PMID: 30370681)
      JAMA. 2017 May 23;317(20):2114-2122. (PMID: 28535241)
    • Publication Date:
      Date Created: 20191220 Date Completed: 20200330 Latest Revision: 20200330
    • Publication Date:
      20240105
    • Accession Number:
      PMC6922348
    • Accession Number:
      10.1371/journal.pone.0226510
    • Accession Number:
      31856192