Literature DB >> 31297589

[National quality indicators in Swiss nursing homes : Questionnaire survey on data reliability and users' view on the usefulness].

Franziska Zúñiga1, Catherine Blatter2, Ruth Wicki2, Michael Simon2,3.   

Abstract

BACKGROUND: The publication of quality indicators is used internationally to compare the quality of nursing homes and initiate quality improvement processes. From 2019 onwards, Switzerland will nationally measure and subsequently publish the results of six quality indicators on four measurement topics (use of physical restraint measures, malnutrition, polypharmacy, self-assessed and observed pain).
OBJECTIVE: To assess the reliability of data collection as well as the understandability and usability of the newly developed quality indicators from the perspective of healthcare providers.
MATERIAL AND METHODS: An online survey in a convenience sample from 155 Swiss nursing homes was conducted. The participants answered the items used to measure the quality indicators based on five case study examples. They assessed the understandability of the items and the usability of the indicators for internal quality improvement as well as benchmarking with other nursing homes with a 4-point agreement Likert scale.
RESULTS: A total of 303 persons from 127 nursing homes completed the survey. In 4 out of the 5 case studies the rating of more than 90% of the respondents led to a correct classification of the quality indicator. The counting of active ingredients for polypharmacy and the assessment of observed pain proved to be difficult. More than 80% of the respondents found the items understandable. The respondents agreed more with the usability of the quality indicators for internal quality improvement (78-91%) than for external benchmarking (63-79%).
CONCLUSION: The majority of the quality indicators were correctly classified and rated as useful. For polypharmacy, an electronic support for counting the active ingredients is recommended and for the external assessment of pain the use of a validated pain intensity scale.

Entities:  

Keywords:  Cross-sectional studies; Data accuracy; Nursing homes; Public reporting; Quality indicators

Year:  2019        PMID: 31297589     DOI: 10.1007/s00391-019-01583-7

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


  12 in total

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Authors:  Thomas Kötter; Friederike Schaefer; Eva Blozik; Martin Scherer
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Review 4.  Prevalence and factors associated with polypharmacy in long-term care facilities: a systematic review.

Authors:  Natali Jokanovic; Edwin C K Tan; Michael J Dooley; Carl M Kirkpatrick; J Simon Bell
Journal:  J Am Med Dir Assoc       Date:  2015-04-11       Impact factor: 4.669

5.  Feasibility and reliability of four pain self-assessment scales and correlation with an observational rating scale in hospitalized elderly demented patients.

Authors:  Sophie Pautex; François Herrmann; Paulette Le Lous; Malika Fabjan; Jean-Pierre Michel; Gabriel Gold
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6.  Polypharmacy, defined as taking five or more drugs, is inadequate in the cardiovascular setting.

Authors:  Nazanin Abolhassani; Pedro Marques-Vidal
Journal:  J Clin Epidemiol       Date:  2018-05-16       Impact factor: 6.437

Review 7.  Pain in older adults with dementia : A survey across Europe on current practices, use of assessment tools, guidelines and policies.

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Journal:  Schmerz       Date:  2018-10       Impact factor: 1.107

Review 8.  Can public reporting impact patient outcomes and disparities? A systematic review.

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Journal:  BMC Health Serv Res       Date:  2013-04-15       Impact factor: 2.655

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  3 in total

1.  Assessing Nursing Homes Quality Indicators' Between-Provider Variability and Reliability: A Cross-Sectional Study Using ICCs and Rankability.

Authors:  Lauriane Favez; Franziska Zúñiga; Narayan Sharma; Catherine Blatter; Michael Simon
Journal:  Int J Environ Res Public Health       Date:  2020-12-10       Impact factor: 3.390

2.  Quality standards for safe medication in nursing homes: development through a multistep approach including a Delphi consensus study.

Authors:  Lea Domenica Brühwiler; Andrea Niederhauser; Simone Fischer; David L B Schwappach
Journal:  BMJ Open       Date:  2021-10-11       Impact factor: 2.692

3.  Association of surveillance technology and staff opinions with physical restraint use in nursing homes: Cross-sectional study.

Authors:  Lauriane Favez; Michael Simon; Michel H C Bleijlevens; Christine Serdaly; Franziska Zúñiga
Journal:  J Am Geriatr Soc       Date:  2022-04-18       Impact factor: 7.538

  3 in total

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