Literature DB >> 35464174

Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations.

Sabine Bohnet-Joschko1, Maria Paula Valk-Draad1, Timo Schulte1,2, Oliver Groene2.   

Abstract

Background: Hospitalizations of nursing home residents are associated with various health risks. Previous research indicates that, to some extent, hospitalizations of this vulnerable population may be inappropriate and even avoidable. This study aimed to develop a consensus list of hospital discharge diagnoses considered to be nursing home-sensitive, i.e., avoidable.
Methods:  The study combined analyses of routine data from six statutory health insurance companies in Germany and a two-stage Delphi panel, enhanced by expert workshop discussions, to identify and corroborate relevant diagnoses. Experts from four different disciplines estimated the proportion of hospitalizations that could potentially have been prevented under optimal conditions.  
Results:  We analyzed frequencies and costs of data for hospital admissions from 242,236 nursing home residents provided by statutory health insurance companies. We identified 117 hospital discharge diagnoses, which had a frequency of at least 0.1%. We recruited experts (primary care physicians, hospital specialists, nursing home professionals and researchers) to estimate the proportion of potentially avoidable hospitalizations for the 117 diagnoses deemed avoidable in two Delphi rounds (n=107 in Delphi Round 1 and n=96 in Delphi Round 2, effective response rate=91%). A total of 35 diagnoses with high and consistent estimates of the proportion of potentially avoidable hospitalizations were identified as nursing home-sensitive. In an expert workshop (n=16), a further 25 diagnoses were discussed that had not reached the criteria, of which another 23 were consented to be nursing home-sensitive conditions. Extrapolating the frequency and mean costs of these 58 diagnoses to the national German context yielded total potentially avoidable care costs of €768,304,547, associated with 219,955 nursing home-sensitive hospital admissions.
Conclusion:  A total of 58 nursing home-relevant diagnoses (ICD-10-GM three-digit level) were classified as nursing home-sensitive using an adapted Delphi procedure. Interventions should be developed to avoid hospital admission from nursing homes for these diagnoses. Copyright:
© 2022 Bohnet-Joschko S et al.

Entities:  

Keywords:  geriatrics; health services research; hospitalization; long-term care; nursing home-sensitive conditions; nursing homes; potentially avoidable hospitalization

Mesh:

Year:  2021        PMID: 35464174      PMCID: PMC9021670.2          DOI: 10.12688/f1000research.73875.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  28 in total

Review 1.  Research guidelines for the Delphi survey technique.

Authors:  F Hasson; S Keeney; H McKenna
Journal:  J Adv Nurs       Date:  2000-10       Impact factor: 3.187

2.  Applying the Delphi technique in a study of GPs' information requirements.

Authors:  Barbara Green; Melanie Jones; David Hughes; Anne Williams
Journal:  Health Soc Care Community       Date:  1999-05

Review 3.  Ambulatory care sensitive conditions: terminology and disease coding need to be more specific to aid policy makers and clinicians.

Authors:  S Purdy; T Griffin; C Salisbury; D Sharp
Journal:  Public Health       Date:  2009-01-13       Impact factor: 2.427

4.  Factors associated with ambulatory care--sensitive hospitalizations among nursing home residents.

Authors:  Mary W Carter
Journal:  J Aging Health       Date:  2003-05

Review 5.  The Delphi method?

Authors:  J Crisp; D Pelletier; C Duffield; A Adams; S Nagy
Journal:  Nurs Res       Date:  1997 Mar-Apr       Impact factor: 2.381

6.  [Good Practice of Secondary Data Analysis (GPS): guidelines and recommendations].

Authors:  E Swart; H Gothe; S Geyer; J Jaunzeme; B Maier; T G Grobe; P Ihle
Journal:  Gesundheitswesen       Date:  2015-01-26

7.  Using Delphi to achieve congruent objectives and activities in a pediatrics department.

Authors:  K G Loughlin; L F Moore
Journal:  J Med Educ       Date:  1979-02

8.  Community-, Healthcare-, and Hospital-Acquired Severe Sepsis Hospitalizations in the University HealthSystem Consortium.

Authors:  David B Page; John P Donnelly; Henry E Wang
Journal:  Crit Care Med       Date:  2015-09       Impact factor: 7.598

9.  Hospitalizations of nursing home residents at the end of life: A systematic review.

Authors:  Katharina Allers; Falk Hoffmann; Rieke Schnakenberg
Journal:  Palliat Med       Date:  2019-08-01       Impact factor: 4.762

10.  Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations.

Authors:  Sabine Bohnet-Joschko; Maria Paula Valk-Draad; Timo Schulte; Oliver Groene
Journal:  F1000Res       Date:  2021-12-01
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  2 in total

1.  Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations.

Authors:  Sabine Bohnet-Joschko; Maria Paula Valk-Draad; Timo Schulte; Oliver Groene
Journal:  F1000Res       Date:  2021-12-01

Review 2.  Nursing Home-Sensitive Hospitalizations and the Relevance of Telemedicine: A Scoping Review.

Authors:  Maria Paula Valk-Draad; Sabine Bohnet-Joschko
Journal:  Int J Environ Res Public Health       Date:  2022-10-10       Impact factor: 4.614

  2 in total

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