Skip to main content
Log in

Correlates of hospitalization among the oldest old: results of the AgeCoDe–AgeQualiDe prospective cohort study

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

Hospitalization is a key driver of health care costs. Thus far, there are only a few longitudinal studies investigating whether changes in explanatory variables lead to hospitalization. Moreover, these longitudinal studies did not focus on individuals in highest age.

Aim

The purpose of the current study was to examine the correlates of hospitalization among the oldest old in Germany longitudinally.

Methods

A multicenter prospective cohort study [“Study on Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)”, AgeQualiDe]. Primary care patients ≥ 85 years took part [n = 861 at follow-up (FU) 7, average age of 89.0 years; 85–100 years]. Two waves were used. Hospitalization in the last 6 months was used as outcome measure. Well-established scales were used to quantify the independent variables such as Instrumental Activities of Daily Living Scale, Global Deterioration Scale or Geriatric Depression Scale.

Results

Logistic random effects regressions showed that the probability of hospitalization in the preceding 6 months significantly increased with increases in the social network, more depressive symptoms, functional decline, and increase in chronic conditions, whereas it was not significantly associated with age, sex, marital status, education, and cognitive impairment. Social networks moderate the relationship between functional decline and hospitalization.

Discussion

The results of the present longitudinal study emphasize the association of depressive symptoms, functional decline, more social networks, and chronic conditions with hospitalization among the oldest old.

Conclusions

Treatments with the aim to reduce or postpone these factors might also help to reduce hospitalization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Campion EW (1994) The oldest old. N Engl J Med 330:1819–1820

    Article  CAS  Google Scholar 

  2. Ling CH, Taekema D, de Craen AJ et al (2010) Handgrip strength and mortality in the oldest old population: the Leiden 85-plus study. Can Med Assoc J 182:429–435

    Article  Google Scholar 

  3. Suzman RM, Manton KG, Willis DP (1992) Introducing the oldest old. The oldest old. Oxford University Press, New York

    Google Scholar 

  4. Hajek A, Brettschneider C, Lange C et al (2016) Gender differences in the effect of social support on health-related quality of life: results of a population-based prospective cohort study in old age in Germany. Qual Life Res 25:1159–1168

    Article  Google Scholar 

  5. Hajek A, Luck T, Brettschneider C et al (2017) Factors affecting functional impairment among elderly Germans—results of a longitudinal study. J Nutr Health Aging 21:299–306

    Article  CAS  Google Scholar 

  6. Smith J, Borchelt M, Maier H et al (2002) Health and well–being in the young old and oldest old. J Soc Issues 58:715–732

    Article  Google Scholar 

  7. Schneider EL, Guralnik JM (1990) The aging of America: impact on health care costs. JAMA 263:2335–2340

    Article  CAS  Google Scholar 

  8. Agasi-Idenburg S, Punt C, Aaronson N et al (2019) The association between preoperative fatigue and instrumental activities in daily living with complications and length of hospital stay in patients undergoing colorectal surgery. Aging Clin Exp Res. https://doi.org/10.1007/s40520-019-01199-2

    Article  PubMed  Google Scholar 

  9. Lisk R, Uddin M, Parbhoo A et al (2019) Predictive model of length of stay in hospital among older patients. Aging Clin Exp Res 31:993–999

    Article  Google Scholar 

  10. Lloyd-Smith E, Wood E, Zhang R et al (2010) Determinants of hospitalization for a cutaneous injection-related infection among injection drug users: a cohort study. BMC Public Health 10:327

    Article  Google Scholar 

  11. Taylor CB, Ahn D, Winkleby MA (2006) Neighborhood and individual socioeconomic determinants of hospitalization. Am J Prev Med 31:127–134

    Article  Google Scholar 

  12. Bock JO, Hajek A, König HH (2018) The longitudinal association between psychological factors and health care use. Health Serv Res 53(2):1065–1091

    Article  Google Scholar 

  13. Hajek A, Bock JO, König H (2017) Which factors affect health care use among older Germans? Results of the German ageing survey. BMC Health Serv Res 17:30

    Article  Google Scholar 

  14. Hajek A, Bock JO, König H-H (2017) The role of personality in health care use: results of a population-based longitudinal study in Germany. PLoS One 12:e0181716

    Article  Google Scholar 

  15. Brüderl J, Ludwig V (2015) Fixed-effects panel regression. In: Wolf C (ed) The Sage handbook of regression analysis and causal inference. SAGE, Los Angeles, pp 327–357

    Google Scholar 

  16. Passon A, Lüngen M, Gerber A, Redaelli M, Stock S (2009) Das Krankenversicherungssystem in Deutschland. In: Lauterbach KW, Stock S, Brunner H (eds) Gesundheitsökonomie. Lehrbuch für Mediziner und andere Gesundheitsberufe. Huber Verlag, Bern, pp. 105–136

    Google Scholar 

  17. Busse R (2008) The health system in Germany Eurohealth-Lond 14:5

    Google Scholar 

  18. Luck T, Riedel-Heller S, Luppa M et al (2010) Risk factors for incident mild cognitive impairment–results from the German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe). Acta Psychiatr Scand 121:260–272

    Article  CAS  Google Scholar 

  19. Andersen RM (1995) Revisiting the behavioral model and access to medical care: does it matter? J Health Soc Behav 36:1–10

    Article  CAS  Google Scholar 

  20. Brauns H, Steinmann S (1999) Educational reform in France, West-Germany, the United Kingdom and Hungary: updating the CASMIN educational classification. ZUMA-Nachrichten 44:7–44

    Google Scholar 

  21. Lubben J, Blozik E, Gillmann G et al (2006) Performance of an abbreviated version of the Lubben Social Network Scale among three European community-dwelling older adult populations. The Gerontologist 46:503–513

    Article  Google Scholar 

  22. Yesavage JA, Sheikh JI (1986) 9/Geriatric Depression Scale (GDS) recent evidence and development of a shorter violence. Clin Gerontol 5:165–173

    Article  Google Scholar 

  23. Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist 9:179–186

    Article  CAS  Google Scholar 

  24. Reisberg B, Ferris SH, de Leon MJ et al (1982) The Global Deterioration Scale for assessment of primary degenerative dementia. Am J Psychiatry 139:1136–1139

    Article  CAS  Google Scholar 

  25. Cameron AC, Trivedi PK (2005) Microeconometrics: methods and applications. Cambridge University Press, New York

    Book  Google Scholar 

  26. Wooldridge JM (2010) Econometric analysis of cross section and panel data. MIT Press, Cambridge

    Google Scholar 

  27. Hausman JA (1978) Specification tests in econometrics. Economet J Econ Soc 46:1251–1271

    Google Scholar 

  28. Babitsch B, Gohl D, von Lengerke T (2012) Re-revisiting Andersen’s Behavioral Model of Health Services Use: a systematic review of studies from 1998–2011. GMS Psycho-Social-Med 9: Doc11

    Google Scholar 

  29. Newall N, McArthur J, Menec VH (2015) A longitudinal examination of social participation, loneliness, and use of physician and hospital services. J Aging Health 27:500–518

    Article  Google Scholar 

  30. Hallgren J, Fransson EI, Kåreholt I et al (2016) Factors associated with hospitalization risk among community living middle aged and older persons: results from the Swedish Adoption/Twin Study of Aging (SATSA). Arch Gerontol Geriatr 66:102–108

    Article  Google Scholar 

  31. Hallgren J, Bravell ME, Aslan AKD et al (2015) In hospital we trust: experiences of older peoples’ decision to seek hospital care. Geriatr Nurs 36:306–311

    Article  Google Scholar 

  32. Walter-Ginzburg A, Chetrit A, Medina C et al (2001) Physician visits, emergency room utilization, and overnight hospitalization in the old-old in Israel: the Cross-Sectional and Longitudinal Aging Study (CALAS). J Am Geriatr Soc 49:549–556

    Article  CAS  Google Scholar 

  33. Nägga K, Dong H-J, Marcusson J et al (2012) Health-related factors associated with hospitalization for old people: comparisons of elderly aged 85 in a population cohort study. Arch Gerontol Geriatr 54:391–397

    Article  Google Scholar 

  34. Blackwell DL, Martinez ME, Gentleman JF et al (2009) Socioeconomic status and utilization of health care services in Canada and the United States: findings from a binational health survey. Med Care 47:1136–1146

    Article  Google Scholar 

  35. Hajek A, Brettschneider C, van den Bussche H et al (2018) Longitudinal analysis of outpatient physician visits in the oldest old: Results of the AgeQualiDe prospective cohort study. J Nutr Health Aging 22:689–694

    Article  CAS  Google Scholar 

  36. Bhandari A, Wagner T (2006) Self-reported utilization of health care services: improving measurement and accuracy. Med Care Res Rev 63:217–235

    Article  Google Scholar 

Download references

Acknowledgements

Contributors: We want to thank, both, all participating patients and their general practitioners for their good collaboration. Members of the AgeCoDe and AgeQualiDe study group: Wolfgang Maier (principal investigator), Martin Scherer (principal investigator), Steffi G. Riedel-Heller (principal investigator), Heinz-Harald Abholz, Christian Brettschneider, Cadja Bachmann, Horst Bickel, Wolfgang Blank, Sandra Eifflaender-Gorfer, Marion Eisele, Annette Ernst, Angela Fuchs, André Hajek, Kathrin Heser, Frank Jessen, Hanna Kaduszkiewicz, Teresa Kaufeler, Mirjam Köhler, Hans-Helmut König, Alexander Koppara, Diana Lubisch, Tobias Luck, Dagmar Lühmann, Melanie Luppa, Tina Mallon, Manfred Mayer, Edelgard Mösch, Michael Pentzek, Jana Prokein, Alfredo Ramirez, Susanne Röhr, Anna Schumacher, Janine Stein, Susanne Steinmann, Franziska Tebarth, Hendrik van den Bussche (principal investigator 2002–2011), Carolin van der Leeden, Michael Wagner, Klaus Weckbecker, Dagmar Weeg, Jochen Werle, Siegfried Weyerer, Birgitt Wiese, Steffen Wolfsgruber, Thomas Zimmermann.

Funding

This publication is part of the German Research Network on Dementia (KND), the German Research Network on Degenerative Dementia (KNDD; German Study on Ageing, Cognition and Dementia in Primary Care Patients; AgeCoDe), and the Health Service Research Initiative (Study on needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85 + ; AgeQualiDe)) and was funded by the German Federal Ministry of Education and Research (Grants KND: 01GI0102, 01GI0420, 01GI0422, 01GI0423, 01GI0429, 01GI0431, 01GI0433, 01GI0434; Grants KNDD: 01GI0710, 01GI0711, 01GI0712, 01GI0713, 01GI0714, 01GI0715, 01GI0716; Grants Health Service Research Initiative: 01GY1322A, 01GY1322B, 01GY1322C, 01GY1322D, 01GY1322E, 01GY1322F, 01GY1322G). The publication was also supported by the study “Healthy Aging: Gender specific trajectories into latest life” (AgeDifferent.De) that was funded by the German Federal Ministry of Education and Research (Grants 01GL1714A, 01GL1714B, 01GL1714C, 01GL1714D).

Author information

Authors and Affiliations

Authors

Consortia

Contributions

Study concept and design: AH, CB, ME, HK, SM, BW, SW, JW, AF, MP, JS, TL, DW, EM, KH, MW, MS, WM, SRH, HHK.Acquisition of data: JW, AF, MP, DW. Analysis and interpretation of data: AH, HHK, SRH. Preparation of manuscript: AH, HHK, SRH. All authors critically revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to André Hajek.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of all research centers involved (approval numbers: Hamburg: OB/08/02, 2817/2007, MC-390/13; Bonn: 050/02; 174/02, 258/07, 369/13; Mannheim: 0226.4/2002, 2007-253E-MA, 2013-662 N-MA; Leipzig: 143/2002, 309/2007, 333-1318112013; Düsseldorf: 2079/2002, 2999/2008, 2999; München: 713/02, 713/02 E) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent/statement of human rights

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The members of the AgeCoDe and AgeQualiDe Study Group mentioned in “Acknowledgements” section.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hajek, A., Brettschneider, C., Eisele, M. et al. Correlates of hospitalization among the oldest old: results of the AgeCoDe–AgeQualiDe prospective cohort study. Aging Clin Exp Res 32, 1295–1301 (2020). https://doi.org/10.1007/s40520-019-01315-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-019-01315-2

Keywords

Navigation