Psychometric validation and responder definition of the sleep disturbance numerical rating scale in moderate-to-severe atopic dermatitis.

BACKGROUND: Sleep disturbance (SD) is an important part of the burden of atopic dermatitis (AD), but patient-reported outcomes that are easy to understand and interpret in the target population have been lacking. A daily, single-item, self-reported SD 11-point numerical rating scale (NRS) was recently developed to assess SD for patients with moderate-to-severe AD, but its psychometric properties have not yet been described. OBJECTIVES: To assess the psychometric properties of the SD NRS in patients with moderate-to-severe AD. METHODS: The psychometric properties of the SD NRS were assessed using data from a phase IIb clinical trial in 218 adults with moderate-to-severe AD. RESULTS: Test-retest reliability of the SD NRS was substantial to almost perfect (interclass correlation 0·66-1·00) in participants who had stable SD or stable pruritus scores over 1 week. Baseline correlations were moderate to large (r > 0·30) between SD NRS and pruritus or sleep loss scores, but were small (r = -0·11 to 0·17) between SD NRS and EQ-5D-3L index and visual analogue scores, Hospital Anxiety and Depression Scale, Scoring Atopic Dermatitis, and Investigator's Global Assessment. The SD NRS could discriminate groups of participants in the expected direction according to different quality-of-life scores but not according to different clinician-reported disease severity scores. SD NRS scores significantly decreased as sleep loss, itch and quality-of-life scores improved. Analysis of meaningful change suggested a 2-5-point improvement as the initial range of responder definition in the SD NRS score. CONCLUSIONS: The SD NRS is a reliable, valid and responsive measure of SD in adults with moderate-to-severe AD.

painPREDICT: first interim data from the development of a new patient-reported pain questionnaire to predict treatment response using sensory symptom profiles.

Objective: Sensory symptom patterns may be useful for predicting treatment response, and, thus, improve individual therapy in patients suffering from neuropathic pain (NeP). Existing screening questionnaires focus predominately on neuropathic mechanisms without consideration of nociceptive mechanisms or mixed pain states. This study aimed to develop a new questionnaire, painPREDICT, using a wide set of patient-reported descriptors potentially associated with neuropathic and nociceptive pain mechanisms, and to explore sensory symptom patterns. Methods: PainPREDICT was constructed based on exploratory (n = 27 patients) and cognitive debriefing interviews (n = 49 patients and nine physicians), across five NeP conditions. The pilot questionnaire was then administered in a non-interventional, cross-sectional, multi-center study to 840 pain patients across the US and Germany. The identification of a sensory symptom pattern was based on hybrid clustering resulting from items standardization followed by principal component analysis. Results: The final questionnaire included 20 items covering: pain intensity, location of pain, course of pain, and sensory symptoms. Most patients participating in the cross-sectional study suffered either from painful diabetic polyneuropathy (n = 330) or radiculopathy (n = 349), fewer from central pain (n = 61) or other types of NeP (n = 100). The hybrid clustering of the new questionnaire data identified three different characteristic sensory symptom profiles in patients with NeP: "Irritable nociceptors", "deafferentation pain", and "pain attacks with nociceptive component". Although some differences in the distribution of the sensory profiles were found, all profiles were represented in all NeP etiology groups. Conclusions: This study set the ground of painPREDICT and showed promising results for its use to categorize patients according to sensory symptom patterns.

Validation of the adherence evaluation of osteoporosis treatment (ADEOS) questionnaire for osteoporotic post-menopausal women.

SUMMARY: We developed and validated a specific 12-item questionnaire to evaluate adherence to oral antiresorptive medication by post-menopausal osteoporotic women in everyday practice. Over the following 9 months, an index of ≤16 was associated with an increase in the risk of treatment discontinuation of 1.69 and of 2.10 for new patients who had started treatment within the previous year. INTRODUCTION: Adherence to medication in osteoporosis is poor. The goal of this study was to develop and validate a disease-specific questionnaire to evaluate adherence to treatment of women with post-menopausal osteoporosis taking oral antiresorptive medication. METHODS: A prototype adherence questionnaire with 45 items developed from patient interview, literature review, and physician opinion was evaluated in a sample of 350 post-menopausal women with osteoporosis treated in primary care. Item responses were matched against scores on the Morisky Medication Adherence Scale (MMAS). The most discriminant items were retained in the final questionnaire. Concurrent and predictive validity were assessed. RESULTS: Twelve items were associated with MMAS score at a probability level of 0.05. These were retained in the final questionnaire which provided an adherence index ranging from 0 to 22. An index of ≥20 was associated with a high probability of persistence and an index ≤ 16 with a high probability of treatment discontinuation in the following 9 months. CONCLUSIONS: The ADEOS-12 is a simple patient-reported measure to determine adherence to osteoporosis treatments with good concurrent and discriminant validity. This is the first disease-specific adherence measure to have been developed for osteoporosis.