Literature DB >> 10408020

[The Geriatric Minimum Data Set (Gemidas) of the Federal Association of Clinical Geriatric Facilities e. V. as an instrument for quality assurance in inpatient geriatrics].

M Borchelt1, W Vogel, E Steinhagen-Thiessen.   

Abstract

BACKGROUND: Geriatric medicine in Germany is faced with an increasing demand for continuous documentation and evaluation of its effectiveness and efficiency. Hence, the Federal Association (FA) of Clinical Geriatric Departments (Bundesarbeitsgemeinschaft der Klinisch-Geriatrischen Einrichtungen e.V.) has funded a working group on improving quality management in geriatrics by developing criteria for quality standards.
METHODS: In 1996, the FA working group achieved consensus on the definition of the Geriatric Minimum Data Set (Gemidas) which covered (i) core information about a patient's age, sex, living arrangement, and (ii) basic characteristics of the hospital course such as location prior to admission and past discharge, leading and accompanying diagnoses, newly prescribed technical aids, objective functional status on admission and at discharge (e.g., Barthel Index (BI), Timed Up & Go (TUG), and intensity of professional care (PPR)), as well as subjectively evaluated attainment of treatment goals. This initial report describes the instrument and presents analyses of its feasibility for routine clinical practice and data consistency.
RESULTS: Twenty out of 27 hospitals (74%) integrated Gemidas successfully in daily routine, 75% of which (15 hospitals, total n = 10,567 patients) instantaneously collected data on constant numbers of patients per month. Multivariate regression analyses used to decompose variances of the instrument's central indicators (e.g., BI, TUG, PPR) revealed a satisfactory dimensionality and high consistency (e.g., covering 59% of variance in BI with 53% of variance uniquely attributable to patient characteristics), as well as sensitivity to differences between hospitals (e.g., 12% of variance in duration of stay uniquely attributable to hospital differences after controlling for patients' characteristics).
CONCLUSION: Gemidas appears to be a feasible quality assurance instrument in geriatrics, suitable for compiling its data into a central registry database, which may then be used for analyses across and between hospitals. However, some modifications are still necessary and more detailed analyses needed, before final recommendations can be made.

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Year:  1999        PMID: 10408020     DOI: 10.1007/s003910050076

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


  10 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.  [Geriatrics in Bavaria-Database (GiB-DAT): Conception, structure and results of implementation (part I)].

Authors:  J Trögner; T Tümena; A Schramm; R Heinrich; C Sieber
Journal:  Z Gerontol Geriatr       Date:  2006-04       Impact factor: 1.281

3.  [PEG tube placement in German geriatric wards - a retrospective data-base analysis].

Authors:  R Wirth; D Volkert; J M Bauer; R J Schulz; M Borchelt; C Fleischhauer; E Steinhagen-Thiessen; C C Sieber
Journal:  Z Gerontol Geriatr       Date:  2007-02       Impact factor: 1.281

4.  [Geriatrics in Bavaria-Database (GiB-DAT): Basic data analysis of geriatric rehabilitation in Bavaria and analysis of inter-clinic variability (part II)].

Authors:  J Trögner; T Tümena; A Schramm; R Heinrich; C Sieber
Journal:  Z Gerontol Geriatr       Date:  2006-04       Impact factor: 1.281

5.  [Mobile geriatric rehabilitation in statutory health insurance: Conceptual strategy and results of a nationwide treatment documentation (Part 1)].

Authors:  Matthias Meinck; K Pippel; N Lübke
Journal:  Z Gerontol Geriatr       Date:  2016-02-22       Impact factor: 1.281

6.  [Effectiveness of geriatric rehabilitation in the oldest old: evaluation of South German observational data].

Authors:  M Jamour; C Marburger; M Runge; C C Sieber; T Tümena; W Swoboda
Journal:  Z Gerontol Geriatr       Date:  2014-07       Impact factor: 1.281

7.  [Patient satisfaction and geriatric care - an empirical study].

Authors:  G Clausen; M Borchelt; C Janssen; S Loos; L Mull; H Pfaff
Journal:  Z Gerontol Geriatr       Date:  2006-02       Impact factor: 1.281

8.  [Patient characteristics and factors associated with unfavourable in-hospital rehabilitation therapy outcome in very old geriatric patients with first-ever ischemic stroke--a retrospective case-control study].

Authors:  K Hegener; T Krause; W von Renteln-Kruse
Journal:  Z Gerontol Geriatr       Date:  2007-12       Impact factor: 1.281

9.  Predicting in-patient falls in a geriatric clinic: a clinical study combining assessment data and simple sensory gait measurements.

Authors:  M Marschollek; G Nemitz; M Gietzelt; K H Wolf; H Meyer Zu Schwabedissen; R Haux
Journal:  Z Gerontol Geriatr       Date:  2009-06-20       Impact factor: 1.281

10.  The development of the Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS): a large-scale data sharing initiative.

Authors:  Jennifer E Lutomski; Maria A E Baars; Bianca W M Schalk; Han Boter; Bianca M Buurman; Wendy P J den Elzen; Aaltje P D Jansen; Gertrudis I J M Kempen; Bas Steunenberg; Ewout W Steyerberg; Marcel G M Olde Rikkert; René J F Melis
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

  10 in total

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