The use of rheumatoid arthritis health‐related quality of life patient questionnaires in clinical practice: Lessons learned

Russak, Simcha M.; Croft, Joseph D.; Furst, D. E.; Hohlbauch, Andriana; Liang, Matthew H.; Moreland, Larry W.; Ofman, Joshua J.; Paulus, Harold E.; Simon, Lee S.; Weisman, Michael H.; Tugwell, Peter

doi:10.1002/art.11208

Cited by 33 publications

(22 citation statements)

References 79 publications

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“…In addition to patient education, psychosocial assessment, occupational and physical therapy, medications, and surgery, effective management of RA patients may be improved by appropriate utilization of accurate HRQOL prediction models. In RA, the literature supports the potential value of HRQOL patient questionnaires in clinical practice [8]. These questionnaires provide key data from the patient's perspective.…”

Section: Introductionmentioning

confidence: 96%

Logistic regression models for predicting physical and mental health-related quality of life in rheumatoid arthritis patients

et al. 2008

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The aim of this work was to develop two logistic regression models capable of predicting physical and mental health related quality of life (HRQOL) among rheumatoid arthritis (RA) patients. In this cross-sectional study which was conducted during 2006 in the outpatient rheumatology clinic of our university hospital, Short Form 36 (SF-36) was used for HRQOL measurements in 411 RA patients. A cutoff point to define poor versus good HRQOL was calculated using the first quartiles of SF-36 physical and mental component scores (33.4 and 36.8, respectively). Two distinct logistic regression models were used to derive predictive variables including demographic, clinical, and psychological factors. The sensitivity, specificity, and accuracy of each model were calculated. Poor physical HRQOL was positively associated with pain score, disease duration, monthly family income below 300 US$, comorbidity, patient global assessment of disease activity or PGA, and depression (odds ratios: 1.1; 1.004; 15.5; 1.1; 1.02; 2.08, respectively). The variables that entered into the poor mental HRQOL prediction model were monthly family income below 300 US$, comorbidity, PGA, and bodily pain (odds ratios: 6.7; 1.1; 1.01; 1.01, respectively). Optimal sensitivity and specificity were achieved at a cutoff point of 0.39 for the estimated probability of poor physical HRQOL and 0.18 for mental HRQOL. Sensitivity, specificity, and accuracy of the physical and mental models were 73.8, 87, 83.7% and 90.38, 70.36, 75.43%, respectively. The results show that the suggested models can be used to predict poor physical and mental HRQOL separately among RA patients using simple variables with acceptable accuracy. These models can be of use in the clinical decision-making of RA patients and to recognize patients with poor physical or mental HRQOL in advance, for better management.

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Section: Introductionmentioning

confidence: 96%

Logistic regression models for predicting physical and mental health-related quality of life in rheumatoid arthritis patients

et al. 2008

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“…Consistently, other studies reported that the total score for QoL before knee surgery was poor. [15,[65][66][67] Studies have shown that pain and functional limitation in patients with OA can lead to reduced QoL. [17,68,69] In the present study, the patients' clinical symptoms were severe and high that it may decline their QoL before surgery.…”

Section: Discussionmentioning

confidence: 60%

“…[3,[9][10][11][12][13][14] However, knee is the most common area of OA after the fingers and vertebrae. [4,[15][16][17][18][19][20] OA, especially in the knee area, is known as one of the five leading causes of disability among the elderly people. [5,[21][22][23][24][25][26] In a follow-up study, the prevalence rate of moderate-to-severe knee OA increased from 3.7% in the initial survey to 26.7% over the next 11 years.…”

Section: Introductionmentioning

confidence: 99%

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Gholamzadeh¹

2018

AJP

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Background: Knee replacement surgery is often successful; however, a number of patients are not satisfied with the results of the operation. Objectives: This study was designed to determine whether clinical presentation and quality of life (QoL) before knee replacement surgery could predict patient satisfaction with surgery. Materials and Methods: A cross-sectional study was performed among 250 elderly patients with the age of 60 years or over who were candidate for a unilateral knee replacement surgery in hospitals affiliated to Shiraz University of Medical Sciences. To gather data, the QoL Questionnaire, knee evaluation form, demographic, and satisfaction questionnaire were used. The questionnaires were filled-in before and after surgery and in follow-up time (2 months later). Results: Most of the respondents were women (66.4%) with the mean age of 68. 9 (standard deviation = 6. 84). The results showed a significant positive correlation between patients' post-operative satisfaction and pre-operative clinical presentation (r = 0.195 P = 0.003) and QoL (r =156, P = 0.023). However, there was no significant association between post-operative satisfaction and pre-operative clinical presentation and QoL at follow-up time (P > 0.05). Linear regression analysis showed that pre-operation clinical presentations and QoL, respectively, explained 3.8% and 2.4% of the variance in post-operative satisfaction. Conclusions:The results showed that satisfaction after surgery in the elderly is partly influenced by the pre-operative QoL and clinical presentation. Therefore, for improvement of the patients' post-operative outcomes, it is necessary to pay more attention to these variables in future planning.

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“…Полученные данные еще раз подтвер-дили мировой позитивный опыт применения данного оп-росника с целью оценки КЖ при широком спектре заболе-ваний и различных состояний [5,[15][16][17]. Компоненты опросника EQ-5D позволяли оценить КЖ пациентов с Пн, имели достаточно высокие корреляционные связи с ос-новными клинико-лабораторными показателями, т. е. обеспечивали возможность объективной оценки состоя-ния здоровья при Пн.…”

Section: Discussionunclassified

Validation of Eq-5d and Hads Indices to Evaluate Quality of Life in Patients With Panniculitis

Савушкина¹,

Амирджанова²,

Глухова³

et al. 2017

rsp

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The use of rheumatoid arthritis health‐related quality of life patient questionnaires in clinical practice: Lessons learned

Cited by 33 publications

References 79 publications

Logistic regression models for predicting physical and mental health-related quality of life in rheumatoid arthritis patients

Logistic regression models for predicting physical and mental health-related quality of life in rheumatoid arthritis patients

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Validation of Eq-5d and Hads Indices to Evaluate Quality of Life in Patients With Panniculitis

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