TY  - JOUR
A1  - Hansen, Heike
A1  - Schäfer, Ingmar
A1  - Schön, Gerhard
A1  - Riedel-Heller, Steffi Gerlinde
A1  - Gensichen, Jochen
A1  - Weyerer, Siegfried
A1  - Petersen, Juliana
A1  - König, Hans-Helmut
A1  - Bickel, Horst
A1  - Fuchs, Angela
A1  - Höfels, Susanne
A1  - Wiese, Birgitt
A1  - Wegscheider, Karl
A1  - Bussche, Hendrik van den
A1  - Scherer, Martin
T1  - Agreement between self-reported and general practitioner-reported chronic conditions among multimorbid patients in primary care : results of the MultiCare Cohort Study
T2  - BMC family practice
N2  - Background: Multimorbidity is a common phenomenon in primary care. Until now, no clinical guidelines for multimorbidity exist. For the development of these guidelines, it is necessary to know whether or not patients are aware of their diseases and to what extent they agree with their doctor. The objectives of this paper are to analyze the agreement of self-reported and general practitioner-reported chronic conditions among multimorbid patients in primary care, and to discover which patient characteristics are associated with positive agreement.
Methods: The MultiCare Cohort Study is a multicenter, prospective, observational cohort study of 3,189 multimorbid patients, ages 65 to 85. Data was collected in personal interviews with patients and GPs. The prevalence proportions for 32 diagnosis groups, kappa coefficients and proportions of specific agreement were calculated in order to examine the agreement of patient self-reported and general practitioner-reported chronic conditions. Logistic regression models were calculated to analyze which patient characteristics can be associated with positive agreement.
Results: We identified four chronic conditions with good agreement (e.g. diabetes mellitus κ = 0.80;PA = 0,87), seven with moderate agreement (e.g. cerebral ischemia/chronic stroke κ = 0.55;PA = 0.60), seventeen with fair agreement (e.g. cardiac insufficiency κ = 0.24;PA = 0.36) and four with poor agreement (e.g. gynecological problems κ = 0.05;PA = 0.10).Factors associated with positive agreement concerning different chronic diseases were sex, age, education, income, disease count, depression, EQ VAS score and nursing care dependency. For example: Women had higher odds ratios for positive agreement with their GP regarding osteoporosis (OR = 7.16). The odds ratios for positive agreement increase with increasing multimorbidity in almost all of the observed chronic conditions (OR = 1.22-2.41).
Conclusions: For multimorbidity research, the knowledge of diseases with high disagreement levels between the patients' perceived illnesses and their physicians' reports is important. The analysis shows that different patient characteristics have an impact on the agreement. Findings from this study should be included in the development of clinical guidelines for multimorbidity aiming to optimize health care. Further research is needed to identify more reasons for disagreement and their consequences in health care.
KW  - Agreement
KW  - Self-report
KW  - Physician report
KW  - Chronic diseases
KW  - Primary care
KW  - Multimorbidity
Y1  - 2014
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/33396
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-333967
SN  - 1471-2296
N1  - © 2014 Hansen et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
VL  - 15
IS  - 39
SP  - 1
EP  - 14
PB  - BioMed Central
CY  - London
ER  -