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@ARTICLE{Eichler:137543,
author = {Eichler, Tilly and Thyrian, Jochen René and Fredrich,
Daniel and Köhler, Leonore and Wucherer, Diana and
Michalowsky, Bernhard and Dreier, Adina and Hoffmann,
Wolfgang},
title = {{T}he benefits of implementing a computerized
intervention-management-system ({IMS}) on delivering
integrated dementia care in the primary care setting.},
journal = {International psychogeriatrics},
volume = {26},
number = {8},
issn = {1041-6102},
address = {Cambridge},
publisher = {Cambridge Univ. Press},
reportid = {DZNE-2020-03865},
pages = {1377-1385},
year = {2014},
abstract = {A computerized Intervention-Management-System (IMS) has
been developed and implemented to facilitate dementia care
management. IMS is a rule-based expert decision support
system that matches individual patient characteristics to a
computerized knowledge base. One of the most important
functionalities of IMS is to support the compilation of the
individual intervention plan by systematically identifying
unmet needs and suggesting the corresponding specific
interventions for recommendation to the general practitioner
(GP). The present analysis aimed to determine if the
implementation of IMS improves the identification of unmet
needs and the recommendation of adequate specific
interventions. In addition, the feasibility and
acceptability of the IMS were evaluated.Delphi-MV is an
on-going GP-based, cluster-randomized, controlled
intervention trial to implement and evaluate a collaborative
dementia care management program for community-dwelling PWDs
and their caregivers. IMS was developed and implemented over
the course of the DelpHi-trial. The identified unmet needs
and the interventions that were recommended to the GP before
and after the implementation of IMS were compared. To
evaluate the feasibility and acceptability of the IMS, a
survey was conducted among the current users of IMS.After
the implementation of IMS, the number of specific
interventions recommended to the GP increased by $85\%.$ Our
findings provide evidence that IMS improves the systematic
identification of unmet needs and the subsequent
recommendation of interventions to address these needs. The
users evaluated IMS as very helpful and would like to use it
for their future work. However, the usability could be
further improved.},
keywords = {Aged / Aged, 80 and over / Cluster Analysis / Computer
Communication Networks / Decision Support Systems,
Management / Dementia: diagnosis / Dementia: psychology /
Dementia: therapy / Demography / Feasibility Studies /
Female / General Practice: methods / General Practice:
standards / Geriatric Assessment: methods / Germany / Humans
/ Male / Needs Assessment / Patient Acceptance of Health
Care / Patient Care Management: methods / Patient Care
Management: standards / Socioeconomic Factors},
cin = {AG Thyrian / AG Grabe / Translational Health Care Research},
ddc = {610},
cid = {I:(DE-2719)1510800 / I:(DE-2719)5000001 /
I:(DE-2719)1510600},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:24811145},
doi = {10.1017/S1041610214000830},
url = {https://pub.dzne.de/record/137543},
}