Health service utilization patterns of primary care patients with osteoarthritis

<p>Abstract</p> <p>Background</p> <p>To assess factors associated with visits to GPs, orthopaedists, and non-physician practitioners of complementary medicine (alternative practitioners) by primary care patients with osteoarthritis (OA).</p> <p>Methods</p...

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Main Authors: Laux Gunter, Szecsenyi Joachim, Joos Stefanie, Rosemann Thomas, Wensing Michel
Format: Article
Language:English
Published: BMC 2007-10-01
Series:BMC Health Services Research
Online Access:http://www.biomedcentral.com/1472-6963/7/169
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spelling doaj-6e8373186b0740ef8060d862da39719c2020-11-24T22:22:23ZengBMCBMC Health Services Research1472-69632007-10-017116910.1186/1472-6963-7-169Health service utilization patterns of primary care patients with osteoarthritisLaux GunterSzecsenyi JoachimJoos StefanieRosemann ThomasWensing Michel<p>Abstract</p> <p>Background</p> <p>To assess factors associated with visits to GPs, orthopaedists, and non-physician practitioners of complementary medicine (alternative practitioners) by primary care patients with osteoarthritis (OA).</p> <p>Methods</p> <p>Cross-sectional survey among 1250 consecutively addressed patients from 75 primary care practices in Germany. All patients suffered from OA of the knee or hip according to ACR criteria. They received questionnaires collecting sociodemographic data, data about health service utilisation, prescriptions, comorbidities. They also included established instruments as the Arthritis Impact Measurement Scale (AIMS2-SF) to assess disease-specific quality of life and the Patient Health Questionnaire (PHQ-9) to assess depression. Hierarchical stepwise multiple linear regression models were used to reveal significant factors influencing health service utilization.</p> <p>Results</p> <p>1021 of 1250 (81.6%) questionnaires were returned. Nonrespondents did not differ from participants. Factors associated with health service use (HSU) varied between providers of care. Not being in a partnership, achieving a high score on the PHQ-9, increased pain severity reflected in the “symptom” scale of the AIMS2-SF, and an increased number of drug prescriptions predicted a high frequency of GP visits. The PHQ-9 score was also a predictor for visits to orthopaedists, as were previous GP contacts, a high score in the "symptom" scale as well as a high score in the "lower limb scale" of the AIMS2-SF. Regarding visits to alternative practitioners, a high score in the AIMS -"social" scale was a positive predictor as older people were less likely to visit them.</p> <p>Conclusion</p> <p>Our results emphasize the need for awareness of psychological factors contributing to the use of health care providers. Addressing the revealed factors associated with HSU appropriately may lead to decreased health care utilization. But further research is needed to assess how this can be done successfully.</p> http://www.biomedcentral.com/1472-6963/7/169
collection DOAJ
language English
format Article
sources DOAJ
author Laux Gunter
Szecsenyi Joachim
Joos Stefanie
Rosemann Thomas
Wensing Michel
spellingShingle Laux Gunter
Szecsenyi Joachim
Joos Stefanie
Rosemann Thomas
Wensing Michel
Health service utilization patterns of primary care patients with osteoarthritis
BMC Health Services Research
author_facet Laux Gunter
Szecsenyi Joachim
Joos Stefanie
Rosemann Thomas
Wensing Michel
author_sort Laux Gunter
title Health service utilization patterns of primary care patients with osteoarthritis
title_short Health service utilization patterns of primary care patients with osteoarthritis
title_full Health service utilization patterns of primary care patients with osteoarthritis
title_fullStr Health service utilization patterns of primary care patients with osteoarthritis
title_full_unstemmed Health service utilization patterns of primary care patients with osteoarthritis
title_sort health service utilization patterns of primary care patients with osteoarthritis
publisher BMC
series BMC Health Services Research
issn 1472-6963
publishDate 2007-10-01
description <p>Abstract</p> <p>Background</p> <p>To assess factors associated with visits to GPs, orthopaedists, and non-physician practitioners of complementary medicine (alternative practitioners) by primary care patients with osteoarthritis (OA).</p> <p>Methods</p> <p>Cross-sectional survey among 1250 consecutively addressed patients from 75 primary care practices in Germany. All patients suffered from OA of the knee or hip according to ACR criteria. They received questionnaires collecting sociodemographic data, data about health service utilisation, prescriptions, comorbidities. They also included established instruments as the Arthritis Impact Measurement Scale (AIMS2-SF) to assess disease-specific quality of life and the Patient Health Questionnaire (PHQ-9) to assess depression. Hierarchical stepwise multiple linear regression models were used to reveal significant factors influencing health service utilization.</p> <p>Results</p> <p>1021 of 1250 (81.6%) questionnaires were returned. Nonrespondents did not differ from participants. Factors associated with health service use (HSU) varied between providers of care. Not being in a partnership, achieving a high score on the PHQ-9, increased pain severity reflected in the “symptom” scale of the AIMS2-SF, and an increased number of drug prescriptions predicted a high frequency of GP visits. The PHQ-9 score was also a predictor for visits to orthopaedists, as were previous GP contacts, a high score in the "symptom" scale as well as a high score in the "lower limb scale" of the AIMS2-SF. Regarding visits to alternative practitioners, a high score in the AIMS -"social" scale was a positive predictor as older people were less likely to visit them.</p> <p>Conclusion</p> <p>Our results emphasize the need for awareness of psychological factors contributing to the use of health care providers. Addressing the revealed factors associated with HSU appropriately may lead to decreased health care utilization. But further research is needed to assess how this can be done successfully.</p>
url http://www.biomedcentral.com/1472-6963/7/169
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