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@ARTICLE{Stein:138365,
author = {Stein, Janine and Pabst, Alexander and Weyerer, Siegfried
and Werle, Jochen and Maier, Wolfgang and Heilmann,
Katharina and Scherer, Martin and Stark, Anne and
Kaduszkiewicz, Hanna and Wiese, Birgitt and Mamone, Silke
and König, Hans-Helmut and Bock, Jens-Oliver and
Riedel-Heller, Steffi G},
title = {{T}he assessment of met and unmet care needs in the oldest
old with and without depression using the {C}amberwell
{A}ssessment of {N}eed for the {E}lderly ({CANE}): {R}esults
of the {A}ge{M}oo{D}e study.},
journal = {Journal of affective disorders},
volume = {193},
issn = {0165-0327},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {DZNE-2020-04687},
pages = {309-317},
year = {2016},
abstract = {Depression belongs to the most common mental disorders in
late life and will lead to a significant increase of
treatment and health care needs in the future. The
Camberwell Assessment of Need for the Elderly (CANE)
evaluates met and unmet care needs in older individuals.
Reports on needs of the elderly with depression are
currently lacking. The aim of the present study was to
identify met and unmet needs in older primary care patients
with and without depression using the German-language
version of the CANE. Furthermore, the association between
unmet needs and depression ought to be explored.As part of
the study 'Late-life depression in primary care: needs,
health care utilization and costs (AgeMooDe)', a sample of
1179 primary care patients aged 75 years and older was
assessed. Descriptive and inferential statistics as well as
logistic regression analyses were conducted.This study, for
the first time in Germany, provides data on the distribution
of met and unmet needs in depressive and non-depressive
older primary care patients. As a main result, unmet needs
were significantly associated with depression; other risk
factors identified were gender, institutionalization, care
by relatives and impaired functional status.The conclusions
about directions and causality of associations between the
variables are limited due to the cross-sectional design.The
study results provide an important contribution to generate
a solid base for an effective and good-quality health and
social care as well as to an appropriate allocation of
health care resources in the elderly population.},
keywords = {Aged / Aged, 80 and over / Case-Control Studies /
Cross-Sectional Studies / Depression: complications / Female
/ Germany / Humans / Male / Needs Assessment: statistics
$\&$ numerical data / Primary Health Care / Risk Factors},
cin = {U Clinical Researchers - Bonn},
ddc = {610},
cid = {I:(DE-2719)7000001},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:26774519},
doi = {10.1016/j.jad.2015.12.044},
url = {https://pub.dzne.de/record/138365},
}