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@ARTICLE{Simon:136997,
author = {Simon, M. and Schmidt, S. G. and Schwab, Christian and
Hasselhorn, H-M and Bartholomeyczik, Sabine},
title = {{M}essung der {P}flegequalität in der {L}angzeitpflege:
{E}ine vergleichende {A}nalyse von
{P}flegetransparenzkriterien, bewohnerbezogenen
{I}ndikatoren und {B}eurteilungen der {M}itarbeiter |
{D}etermining the quality of long-term care. {A} comparative
analysis of transparency criteria, resident-related
indicators, and staff assessment},
journal = {Bundesgesundheitsblatt, Gesundheitsforschung,
Gesundheitsschutz},
volume = {56},
number = {8},
issn = {1436-9990},
address = {Heidelberg},
publisher = {Springer},
reportid = {DZNE-2020-03319},
pages = {1088-1097},
year = {2013},
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).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.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.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.},
keywords = {Germany / Long-Term Care: statistics $\&$ numerical data /
Nurses: trends / Nursing: statistics $\&$ numerical data /
Nursing Audit: methods / Nursing Audit: statistics $\&$
numerical data / Nursing Care: statistics $\&$ numerical
data / Professional Competence: statistics $\&$ numerical
data / Quality Assurance, Health Care: methods / Quality
Assurance, Health Care: statistics $\&$ numerical data},
cin = {AG Roes},
ddc = {610},
cid = {I:(DE-2719)1610003},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:23884524},
doi = {10.1007/s00103-013-1748-8},
url = {https://pub.dzne.de/record/136997},
}