A patients’ view of OA: the Global Osteoarthritis Patient Perception Survey (GOAPPS), a pilot study
Bibliographic record
Abstract
BACKGROUND: Globally, osteoarthritis (OA) is the third condition associated with disability. There is still poor treatment in OA but science holds the key to finding better treatments and a cure. It is essential to learn what's important to patients from them to implement the most effective OA management. The OA Patients Task Force, conducted the Global OA Patient Perception Survey (GOAPPS)-the first global survey made by patients to analize the quality of life (QoL) & patient perceptions of care. The goal was to collect data on OA patients' perception of OA to understand patients' needs and expectations to improve OA management. METHODS: Observational, cross-sectional study by online survey data collection from six countries, translated into three languages. The questionnaire was comprised of 3 sections: patient demographics and clinical symptomology characteristics; relationship with physicians: perception of attention, treatment, and information provided; and OA impact on daily activity and QoL. The results of the survey were evaluated using the Limited Data Set. The survey results were analyzed using descriptive statistics to characterize the patients' answers. Additionally, Cronbach's alpha was calculated to determine internal consistency validity. RESULTS: A total of 1512 surveys were completed in 6 countries. 84.2% of respondents reported pain/tenderness and 91.1% experienced limitations to physical activities. 42.3% of patients were not satisfied with their current OA treatment. 86% had comorbidities, especially hypertension, and obesity. 51.3 and 78% would like access to additional drug or additional non-drug/non-surgical treatments respectively. 48.2% of patients perceived their QoL to be affected by OA. The Cronbach's alpha was 0.61. CONCLUSIONS: OA has a significant impact on patients' daily activities and their desire to play an active role in managing this disease. Patients are seeking additional treatments, especially no pharmacological/no surgical treatments stressing the need for investing in clinical research, implementing OA preventive measures, and managing interventions to improve the healthcare value chain in OA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".