Literature DB >> 22538783

[Geriatric multimorbidity in claims data - part 1. Analysis of hospital data and long-term care insurance data].

N Lübke1, M Meinck.   

Abstract

BACKGROUND: In Germany, typical geriatric multimorbidity is--next to age itself--of special significance for the identification of target groups for specific geriatric care offers. The present article primarily focuses on typical geriatric multimorbidity in the claims data of statutory health insurance and long-term care insurance in Germany. Using the definition of "the geriatric patient" that is agreed on by providers of services as well as by cost bearers, geriatric multimorbidity is defined as the coexistence of at least 2 of 15 typical geriatric conditions. A suggestion made by the German Geriatric Association was to assign ICD-10-GM codes to each of these 15 conditions. Thus, it becomes possible to identify the corresponding geriatric conditions in claims data.
METHODS: The article investigates the frequency of geriatric conditions and, thus, of geriatric multimorbidity of patients aged ≥ 60 years admitted to a hospital with a geriatric ward. Patients treated in a geriatric ward were compared with those who did not receive geriatric care. In anticipation of a high correlation between typical geriatric conditions and specific features that are preconditions for receiving long-term care insurance benefits (such as care levels and status of a nursing home resident), claims data of the long-term care insurance were included for external validation.
RESULTS: The analyses showed a distinctly higher proportion of insured people with typical geriatric multimorbidity or rather a certain care level among the geriatrically treated cases than among those patients not receiving geriatric treatment (68.5%/67.9% versus 24.2%/33.4%). The different proportions of typical geriatric multimorbidity coded among the patients with features of a certain care level in the two given groups give rise to the suspicion that typical geriatric multimorbidity is not always statistically recorded--especially in cases of treatment without provision of geriatric care.
CONCLUSION: The frequency of cases of typical geriatric multimorbidity and a certain care level shows that--even when a specific geriatric offer exists--a considerable proportion of cases with typical geriatric conditions are treated in other medical departments.

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Year:  2012        PMID: 22538783     DOI: 10.1007/s00391-012-0301-y

Source DB:  PubMed          Journal:  Z Gerontol Geriatr        ISSN: 0948-6704            Impact factor:   1.281


  3 in total

1.  [The Barthel Index in geriatrics. A context analysis for the Hamburg Classification Manual].

Authors:  Norbert Lübke; Matthias Meinck; Wolfgang Von Renteln-Kruse
Journal:  Z Gerontol Geriatr       Date:  2004-08       Impact factor: 1.281

2.  [Geriatric multimorbidity in claims data - part 2 : diagnoses of hospitals and diagnoses from physicians in the ambulatory setting].

Authors:  M Meinck; N Lübke; F Ernst
Journal:  Z Gerontol Geriatr       Date:  2012-10       Impact factor: 1.281

3.  Performance profiles of the functional independence measure.

Authors:  C V Granger; B B Hamilton; J M Linacre; A W Heinemann; B D Wright
Journal:  Am J Phys Med Rehabil       Date:  1993-04       Impact factor: 2.159

  3 in total
  6 in total

1.  [Geriatric multimorbidity in claims data - part 2 : diagnoses of hospitals and diagnoses from physicians in the ambulatory setting].

Authors:  M Meinck; N Lübke; F Ernst
Journal:  Z Gerontol Geriatr       Date:  2012-10       Impact factor: 1.281

Review 2.  [Geriatrics - an interdisciplinary challenge].

Authors:  Roland Nau; Marija Djukic; Manfred Wappler
Journal:  Nervenarzt       Date:  2016-06       Impact factor: 1.214

3.  [Treatment by panel physicians of patients in protective institutions and homes : Analysis based on secondary data].

Authors:  Diana Kurch-Bek; Leonie Sundmacher; Christian Gallowitz; Bernhard Tenckhoff
Journal:  Z Gerontol Geriatr       Date:  2016-11-04       Impact factor: 1.281

4.  [Geriatric multimorbidity in claims data: part 3: prevalence and predictive power of geriatric conditions in an age-specific systematic sample].

Authors:  M Meinck; N Lübke
Journal:  Z Gerontol Geriatr       Date:  2013-10       Impact factor: 1.281

5.  Instrumented gait analysis: a measure of gait improvement by a wheeled walker in hospitalized geriatric patients.

Authors:  Samuel Schülein; Jens Barth; Alexander Rampp; Roland Rupprecht; Björn M Eskofier; Jürgen Winkler; Karl-Günter Gaßmann; Jochen Klucken
Journal:  J Neuroeng Rehabil       Date:  2017-02-27       Impact factor: 4.262

6.  How does age affect the care dependency risk one year after stroke? A study based on claims data from a German health insurance fund.

Authors:  Susanne Schnitzer; Olaf von dem Knesebeck; Martin Kohler; Dirk Peschke; Adelheid Kuhlmey; Liane Schenk
Journal:  BMC Geriatr       Date:  2015-10-23       Impact factor: 3.921

  6 in total

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