A New Questionnaire to Assess Respiratory Symptoms (The Respiratory Symptom Experience Scale): Quantitative Psychometric Assessment and Validation Study.

BACKGROUND: Smokers often experience respiratory symptoms (eg, morning cough), and those who stop smoking, including those who do so by switching completely to electronic nicotine delivery systems (ENDS), may experience reductions in symptoms. Existing respiratory symptom questionnaires may not be suitable for studying these changes, as they are intended for patient populations, such as those with chronic obstructive pulmonary disease (COPD). OBJECTIVE: This study aimed to develop a respiratory symptom questionnaire appropriate for current smokers and for assessing changes when smokers stop smoking. METHODS: The Respiratory Symptom Experience Scale (RSES) was derived from existing instruments and subject matter expert input and refined through cognitive debriefing interviews (n=49). Next, for purposes of the quantitative psychometric evaluation, the RSES was administered to smokers (n=202), former smokers (no tobacco use in >6 months; n=200), and switchers (n=208, smokers who switched to ENDS for >6 months), all of whom had smoked for at least 10 years (mean age 33 years). Participants, who averaged 62 (SD 12) years of age, included 28% (173/610) with respiratory allergy symptoms and 17% (104/610) with COPD. Test-retest reliability was assessed by repeat assessment after 1 week in 128 participants. RESULTS: A generalized partial credit model confirmed that the response options were ordered, and a parallel analysis using principal components confirmed that the scale was unidimensional. With allowance for 2 sets of correlated errors between pairs of items, a 1-factor graded response model fit the data. Discrimination parameters were approximately 1 or greater for all items. Scale reliability was 0.80 or higher across a broad range of severity (standardized scores -0.40 to 3.00). Test-retest reliability (absolute intraclass correlation) was good, at 0.89. RSES convergent validity was supported by substantial differences (Cohen d=0.74) between those with and without a diagnosis of respiratory disease (averaging 0.57 points, indicating that differences of this size or smaller represent meaningful differences). RSES scores also strongly differentiated those with and without COPD (d=1.52). Smokers' RSES scores were significantly higher than former smokers' scores (P<.001). Switchers' RSES scores were significantly lower than smokers' scores (P<.001) and no different from former smokers' scores (P=.34). CONCLUSIONS: The RSES fills an important gap in the existing toolkit of respiratory symptom questionnaires; it is a reliable and valid tool to assess respiratory symptoms in adult current and former smokers, including those who have switched to noncombusted nicotine products. This suggests that the scale is sensitive to respiratory symptoms that develop in smokers and to their remission when smokers quit or switch to noncombusted nicotine products intended to reduce the harm of smoking. The findings also suggest that switching from cigarettes to ENDS may improve respiratory health.

Development and validation of behavioral intention measures of an E-vapor product: intention to try, use, dual use, and switch.

BACKGROUND: The harm caused by tobacco use is primarily attributable to cigarette smoking. Switching completely to non-combustible products may reduce disease risks in adult cigarette smokers who are unable or unwilling to quit. Before a new tobacco product can enter the market or can be marketed as a modified risk tobacco product, the manufacturer must determine the impact that the product will have on the likelihood of changes in tobacco use behavior among both tobacco users and nonusers. One way to estimate change in tobacco use behavior is to assess tobacco users' and nonusers' behavioral intentions toward the product and its marketing, including intentions to try, use, dual use, and switch to the product from cigarettes. The purpose of this study was to develop and validate behavioral intention metrics appropriate for use with current, former, and never adult tobacco users. METHODS: Preliminary items were subjected to cognitive testing with adult (1) smokers planning to quit cigarettes in the next 30 days, (2) smokers not planning to quit cigarettes in the next 30 days, (3) e-vapor users, (4) former tobacco users, and (5) never tobacco users. Items were iteratively revised based on feedback during cognitive testing, and surviving items were administered to a large sample of adults (N = 2943) representing the aforementioned sub-groups. Rating scale functioning, reliability, validity, bias, and ability to detect change were evaluated. RESULTS: Examination of the response category thresholds generated by the Rasch model provided evidence that the rating scales were functioning appropriately. Results revealed good stability and excellent internal consistency and person reliability and provided evidence of unidimensionality and convergent validity. Estimates of reliability and validity were similar across sub-groups. A cross-validation sample generally confirmed findings from the validation sample. No items were discarded due to differential item function. Exploratory analyses provided support for ability to detect change. CONCLUSIONS: Results from this rigorous, empirical evaluation using large validation and cross-validation samples provide strong support for the psychometric properties of the Intention to Try, Use, Dual Use, and Switch scales with current, former, and never adult tobacco users.

Development of a Brief Version of the Current Opioid Misuse Measure (COMM): The COMM-9.

Objective: The Current Opioid Misuse Measure (COMM) is a commonly used self-report instrument to identify and monitor aberrant opioid-related behavior in chronic pain patients on opioid therapy. However, the length of the COMM may limit its clinical utility. Additionally, this paper-and-pencil screener requires hand scoring, which increases paperwork and staff burden. Therefore, the current study presents development of the "COMM-9," a brief electronically administered form of the COMM. Methods: Patients (N = 517) with chronic noncancer pain on opioid therapy completed the COMM. Patients were classified as either being positive or negative for aberrant drug-related behavior based on self-report data from a structured interview, physician-report data, and urine toxicology screen (the Aberrant Drug Behavior Index [ADBI]). COMM items with the strongest classification accuracy were identified using the LASSO method as the selection criterion in conjunction with the leave-one-out cross-validation method as the stop criterion. A sub-set of patients (n=55) completed a second administration of the COMM one week later to evaluate test-retest reliability. Results: Nine items were identified before the selection criterion stopped, and logistic regression was utilized to predict probabilities of positive ADBI from the 9 COMM items using all data and the cross-validation procedure. Receiver operating characteristic curves revealed high levels of classification accuracy that were essentially equivalent to the full COMM. Cut-points were identified to classify patients as having no/low risk, moderate risk, and high risk for aberrant opioid-related behavior. Test-retest reliability of the COMM-9 was comparable to the full 17-item COMM. Conclusions: This study presents the successful development of a brief electronic screener to identify current aberrant opioid-related behavior in chronic pain patients on long-term opioid therapy.

Development and Validation of an Eight-Item Brief Form of the SOAPP-R (SOAPP-8).

Objective: Although the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) has become a widely used screener for aberrant opioid-related behavior in adults, the length of the instrument may limit its utility. The purpose of the current study was to develop a short form of the SOAPP-R by retaining as few items as possible while maximizing predictive accuracy. Methods: Participants (N = 555), recruited from pain clinics, completed the 24-item SOAPP-R and participated in a five-month follow-up visit to evaluate aberrant drug-related behaviors. Opioid aberrant-related behavior was determined through self-report, physician report, and urine toxicology screen. The optimal subset of SOAPP-R items to predict aberrant opioid-related behavior was identified empirically by employing the LASSO selection method and the leave-one-out cross-validation (LOOCV) method offered in the GLMSELECT procedure in SAS 9.4 in conjunction with content expertise. Results: Eight items were identified before the selection method stopped. The receiver operating characteristic curve generated from the predicted probabilities from the model produced an area under the curve (AUC) value greater than the AUC value produced by the 24-item SOAPP-R total score and yielded a sensitivity of 0.74 and a specificity of 0.66. Conclusions: These results provide strong preliminary support for the SOAPP-8 as a brief screening tool of aberrant opioid-related behavior in chronic pain patients.