Determining the quality of long-term care. A comparative analysis of transparency criteria, resident-related indicators, and staff assessment
Determining the quality of long-term care. A comparative analysis of transparency criteria, resident-related indicators, and staff assessment
From 2009, the quality of care in nursing homes in Germany is inspected, rated, and publicized. This study investigates the association between staff-perceived nursing quality, clinical quality indicators, and ratings of health insurance medical services based on the transparency of stationary care agreement (PTVS).
METHODS:
This was a cross-sectional study merging publicly reported data, clinical quality indicators of a national health provider system, and data from staff surveys. Data from 83 nursing homes were adjusted for sample size, age, and care level and analyzed using Kendall's tau coefficients and scatter plots.
RESULTS:
There were pronounced differences in staff-perceived nursing quality and some of the clinical indicators between facilities that were not detected by the PTVS. There was a weak association between staff-perceived quality and care quality rated by external inspections. No associations were found between the PTVS and clinical quality indicators.
CONCLUSIONS:
Differences between nursing home providers were detected to varying degrees by the three approaches and were if at all weakly associated. Given the aims followed by public reporting initiatives of nursing home providers, the results stress the importance of revising the PTVS.
1088-1097
Simon, Michael
6e9ad30e-c22f-455a-945e-98d77dcec479
Schmidt, Sascha G.
8e7e0109-3a95-4dce-95db-b3c61506f71f
Schwab, Christian G.G,
1d65c877-b13f-4405-a028-a1f05c720c35
Hasselhorn, Hans-Martin
382d7a9f-337c-438c-bb6c-5827658f0de1
Bartholomeyzcik, Sabine
ab820385-f25b-4a51-87ba-2c068202f2ca
August 2013
Simon, Michael
6e9ad30e-c22f-455a-945e-98d77dcec479
Schmidt, Sascha G.
8e7e0109-3a95-4dce-95db-b3c61506f71f
Schwab, Christian G.G,
1d65c877-b13f-4405-a028-a1f05c720c35
Hasselhorn, Hans-Martin
382d7a9f-337c-438c-bb6c-5827658f0de1
Bartholomeyzcik, Sabine
ab820385-f25b-4a51-87ba-2c068202f2ca
Simon, Michael, Schmidt, Sascha G., Schwab, Christian G.G,, Hasselhorn, Hans-Martin and Bartholomeyzcik, Sabine
(2013)
Determining the quality of long-term care. A comparative analysis of transparency criteria, resident-related indicators, and staff assessment.
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 56 (8), .
(doi:10.1007/s00103-013-1748-8).
(PMID:23884524)
Abstract
From 2009, the quality of care in nursing homes in Germany is inspected, rated, and publicized. This study investigates the association between staff-perceived nursing quality, clinical quality indicators, and ratings of health insurance medical services based on the transparency of stationary care agreement (PTVS).
METHODS:
This was a cross-sectional study merging publicly reported data, clinical quality indicators of a national health provider system, and data from staff surveys. Data from 83 nursing homes were adjusted for sample size, age, and care level and analyzed using Kendall's tau coefficients and scatter plots.
RESULTS:
There were pronounced differences in staff-perceived nursing quality and some of the clinical indicators between facilities that were not detected by the PTVS. There was a weak association between staff-perceived quality and care quality rated by external inspections. No associations were found between the PTVS and clinical quality indicators.
CONCLUSIONS:
Differences between nursing home providers were detected to varying degrees by the three approaches and were if at all weakly associated. Given the aims followed by public reporting initiatives of nursing home providers, the results stress the importance of revising the PTVS.
Text
10.1007_s00103-013-1748-8.pdf
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Published date: August 2013
Organisations:
Faculty of Health Sciences
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Local EPrints ID: 355869
URI: http://eprints.soton.ac.uk/id/eprint/355869
ISSN: 1436-9990
PURE UUID: 171c25f3-5c57-49be-9fa4-86a9c8c88980
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Date deposited: 09 Sep 2013 09:18
Last modified: 14 Mar 2024 14:39
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Contributors
Author:
Michael Simon
Author:
Sascha G. Schmidt
Author:
Christian G.G, Schwab
Author:
Hans-Martin Hasselhorn
Author:
Sabine Bartholomeyzcik
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