Dataset Information

A qualitative exploration of the patient experience of erosive and non-erosive hand osteoarthritis.

ABSTRACT:

Background

Many patients with hand osteoarthritis (HOA) experience reduced health-related quality of life. This study sought to better understand the disease and treatment experience of individuals with HOA, explore any differences in experiences between erosive and non-erosive HOA sub-types, and evaluate content validity of the Michigan Hand Outcomes Questionnaire (MHQ) in HOA.

Methods

Thirty subjects from the United States (n?=?15 erosive HOA; n?=?15 non-erosive HOA) participated in semi-structured interviews: concept elicitation explored symptoms/impacts important to patients; cognitive interviews assessed understanding and relevance of the MHQ. A sub-sample participated in real-time data capture (RTDC) activities via a smartphone/tablet app over 7?days. Verbatim transcripts were coded using Atlas.ti software and thematically analyzed. Concept saturation and MHQ content validity were evaluated.

Results

Most participants reported experiencing pain, swelling and stiffness, symptoms that most commonly had a direct impact on physical functioning. Substantial impacts on activities of daily living, emotional functioning, sleep and work were also reported. RTDC findings corroborated concept elicitation findings. There were no notable differences between erosive and non-erosive HOA, except nodules were reported more frequently in erosive disease. Most participants used analgesic treatments, but effects were short-lived. Pain was the symptom most frequently reported as most bothersome and important to treat. Concept saturation was achieved. MHQ items and instructions were well understood and relevant to most participants; stiffness and swelling were reported as important symptoms not included in the MHQ.

Conclusions

This study characterizes key symptoms of HOA which are burdensome for patients and not well controlled by current therapies, highlighting an unmet treatment need. Although the study is limited by a small sample size that may not be representative of the broader erosive and non-erosive HOA population, concept saturation was achieved, and our findings suggest that disease experience is similar for patients with erosive and non-erosive HOA. Evaluation of stiffness and swelling items in conjunction with the MHQ may enhance relevance and improve measurement precision to assess important domains of HQRoL in an HOA population.

SUBMITTER: Panter C

PROVIDER: S-EPMC7859145 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

A qualitative exploration of the patient experience of erosive and non-erosive hand osteoarthritis.

Panter Charlotte C Berry Pamela P Chauhan Deven D Fernandes Sofia S Gatsi Sally S Park Josephine J Wells Jane R JR Arbuckle Rob R

Journal of patient-reported outcomes 20210203 1

<h4>Background</h4>Many patients with hand osteoarthritis (HOA) experience reduced health-related quality of life. This study sought to better understand the disease and treatment experience of individuals with HOA, explore any differences in experiences between erosive and non-erosive HOA sub-types, and evaluate content validity of the Michigan Hand Outcomes Questionnaire (MHQ) in HOA.<h4>Methods</h4>Thirty subjects from the United States (n = 15 erosive HOA; n = 15 non-erosive HOA) participate ...[more]

PMID: 33537932

Similar Datasets

Project description:BackgroundThis study measured the magnitude and determinants of clinical and radiological progression in patients with hand osteoarthritis (HOA) over a 2-year prospective follow-up to gain a greater understanding of the disease time course.MethodsTwo hundred three consecutive outpatients diagnosed with HOA were followed for 2 years (183 women, median age 69 years). Pain and function were evaluated using the Australian/Canadian Osteoarthritis Hand Index (AUSCAN), and clinical examination recorded the number of painful/swollen joints and nodes. X-rays were scored using Kellgren-Lawrence (KL) and Verbruggen-Veys scales. Clinical progression was defined as deterioration in AUSCAN ≥ the minimal clinically important difference. Radiographic progression was defined as (a) one new erosive/remodeled joint, (b) progression of ≥ one anatomical stage in one joint, or (c) change in KL total score above the smallest detectable difference. Logistic regression was performed to determine whether patient characteristics influenced clinical and radiological progression.ResultsAfter 2 years, all radiographic scores deteriorated significantly in the study population (p < 0.05), and the number of proximal and distal interphalangeal nodes was significantly higher (p < 0.01). The AUSCAN, number of painful joints at rest or at pressure, number of swollen joints, and pain measure on a visual analog scale remained unchanged. At the individual level, the number of patients with clinically meaningful progression ranged from 25 to 42% (clinical progression) and from 22 to 76% (radiological progression). The only significant predictor of worsening of total AUSCAN was AUSCAN pain subscale < 74.5 (odds ratio [OR] 1.02 [1.01, 1.03]; p < 0.01). The presence of ≥ four swollen joints (OR 2.78 [1.21, 6.39]; p = 0.02) and erosive osteoarthritis (OR 13.23 [5.07, 34.56]; p < 0.01) at baseline predicted a new erosive joint. A meaningful change in KL was more frequent with painful joints at baseline (OR 3.43 [1.68, 7.01]; p < 0.01).ConclusionsEvidence of radiological progression over 2 years was observed in patients with HOA in the LIHOC population even without clinical worsening of disease. For individual patients, baseline pain level is predictive for clinical progression and the presence of erosive or swollen joints are significant predictors of radiological progression.

Dataset Information

A qualitative exploration of the patient experience of erosive and non-erosive hand osteoarthritis.

Background

Methods

Results

Conclusions

Publications

A qualitative exploration of the patient experience of erosive and non-erosive hand osteoarthritis.

Similar Datasets

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