Literature DB >> 10182408

Predicting health care utilization in the very old. The role of physical health, mental health, attitudinal and social factors.

M Linden1, A L Horgas, R Gilberg, E Steinhagen-Thiessen.   

Abstract

The purpose of this paper is to predict health care utilization in the very old from a combination of individual-based factors such as physical and mental health, health attitudes and beliefs, sociodemographic characteristics, and life circumstances. This study was conducted within the context of the Berlin Aging Study (BASE). Higher use of medications was most strongly predicted by more medical diagnoses, better cognitive status, and health attitudes. Physician contact was only weakly predicted by physical health variables, hypochondriasis, and living alone. In contrast, living alone was the greatest predictor of the utilization of increased levels of caregiving services, while having children nearby served as a protective factor against the need for more formal caregiving services. These results show that utilization of health care depends on interaction between physical and mental health, attitudinal, and social factors.

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Year:  1997        PMID: 10182408     DOI: 10.1177/089826439700900101

Source DB:  PubMed          Journal:  J Aging Health        ISSN: 0898-2643


  15 in total

1.  [Drug use and self-perceived health as reported by community-dwelling elderly persons in Hamburg].

Authors:  J Anders; W V Renteln-Kruse; U Dapp; G Gillmann; A Stuck
Journal:  Z Gerontol Geriatr       Date:  2005-06       Impact factor: 1.281

2.  [The practice staff in primary care dementia recognition-is there an untapped potential?]

Authors:  Julian Wangler; Andreas Fellgiebel; Michael Jansky
Journal:  Z Gerontol Geriatr       Date:  2018-11-26       Impact factor: 1.281

3.  Physical activity and other health-related factors predict health care utilisation in older adults: the ActiFE Ulm study.

Authors:  M D Denkinger; A Lukas; F Herbolsheimer; R Peter; T Nikolaus
Journal:  Z Gerontol Geriatr       Date:  2012-06       Impact factor: 1.281

4.  Association of Patient Social, Cognitive, and Functional Risk Factors with Preventable Hospitalizations: Implications for Physician Value-Based Payment.

Authors:  Kenton J Johnston; Hefei Wen; Mario Schootman; Karen E Joynt Maddox
Journal:  J Gen Intern Med       Date:  2019-04-25       Impact factor: 5.128

5.  Determinants of Telehealth Service Use among Mental Health Patients: A Case of Rural Louisiana.

Authors:  Monteic A Sizer; Dependra Bhatta; Binod Acharya; Krishna P Paudel
Journal:  Int J Environ Res Public Health       Date:  2022-06-06       Impact factor: 4.614

6.  General practitioners' judgment of their elderly patients' cognitive status.

Authors:  Michael Pentzek; Angela Fuchs; Birgitt Wiese; Gabriela Cvetanovska-Pllashniku; Franziska Haller; Wolfgang Maier; Steffi G Riedel-Heller; Matthias C Angermeyer; Horst Bickel; Edelgard Mösch; Siegfried Weyerer; Jochen Werle; Hendrik van den Bussche; Marion Eisele; Hanna Kaduszkiewicz
Journal:  J Gen Intern Med       Date:  2009-10-21       Impact factor: 5.128

7.  Association Between Patient Cognitive and Functional Status and Medicare Total Annual Cost of Care: Implications for Value-Based Payment.

Authors:  Kenton J Johnston; Hefei Wen; Jason M Hockenberry; Karen E Joynt Maddox
Journal:  JAMA Intern Med       Date:  2018-11-01       Impact factor: 21.873

8.  Demand of elderly people for residential care: an exploratory study.

Authors:  P M A van Bilsen; J P H Hamers; W Groot; C Spreeuwenberg
Journal:  BMC Health Serv Res       Date:  2006-03-27       Impact factor: 2.655

9.  Multimorbidity, health care utilization and costs in an elderly community-dwelling population: a claims data based observational study.

Authors:  Caroline Bähler; Carola A Huber; Beat Brüngger; Oliver Reich
Journal:  BMC Health Serv Res       Date:  2015-01-22       Impact factor: 2.655

10.  Health care costs in the elderly in Germany: an analysis applying Andersen's behavioral model of health care utilization.

Authors:  Dirk Heider; Herbert Matschinger; Heiko Müller; Kai-Uwe Saum; Renate Quinzler; Walter Emil Haefeli; Beate Wild; Thomas Lehnert; Hermann Brenner; Hans-Helmut König
Journal:  BMC Health Serv Res       Date:  2014-02-14       Impact factor: 2.655

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