Testing for allergic disease: Parameters considered and test value

<p>Abstract</p> <p>Background</p> <p>Test results for allergic disease are especially valuable to allergists and family physicians for clinical evaluation, decisions to treat, and to determine needs for referral.</p> <p>Methods</p> <p>This study used a repeated measures design (conjoint analysis) to examine trade offs among clinical parameters that influence the decision of family physicians to use specific IgE blood testing as a diagnostic aid for patients suspected of having allergic rhinitis. Data were extracted from a random sample of 50 family physicians in the Southeastern United States. Physicians evaluated 11 patient profiles containing four clinical parameters: symptom severity (low, medium, high), symptom length (5, 10, 20 years), family history (both parents, mother, neither), and medication use (prescribed antihistamines, nasal spray, over-the-counter medications). Decision to recommend specific IgE testing was elicited as a "yes" or "no" response. Perceived value of specific IgE blood testing was evaluated according to usefulness as a diagnostic tool compared to skin testing, and not testing.</p> <p>Results</p> <p>The highest odds ratios (OR) associated with decisions to test for allergic rhinitis were obtained for symptom severity (OR, 12.11; 95%CI, 7.1–20.7) and length of symptoms (OR, 1.46; 95%CI, 0.96–2.2) with family history having significant influence in the decision. A moderately positive association between testing issues and testing value was revealed (β = 0.624, <it>t </it>= 5.296, <it>p </it>≤ 0.001) with 39% of the variance explained by the regression model.</p> <p>Conclusion</p> <p>The most important parameters considered when testing for allergic rhinitis relate to symptom severity, length of symptoms, and family history. Family physicians recognize that specific IgE blood testing is valuable to their practice.</p

Estimating preferences for a dermatology consultation using Best-Worst Scaling: Comparison of various methods of analysis

Background: Additional insights into patient preferences can be gained by supplementing discrete choice experiments with best-worst choice tasks. However, there are no empirical studies illustrating the relative advantages of the various methods of analysis within a random utility framework. Methods: Multinomial and weighted least squares regression models were estimated for a discrete choice experiment. The discrete choice experiment incorporated a best-worst study and was conducted in a UK NHS dermatology context. Waiting time, expertise of doctor, convenience of attending and perceived thoroughness of care were varied across 16 hypothetical appointments. Sample level preferences were estimated for all models and differences between patient subgroups were investigated using ovariateadjusted multinomial logistic regression. Results: A high level of agreement was observed between results from the paired model (which is theoretically consistent with the 'maxdiff' choice model) and the marginal model (which is only an approximation to it). Adjusting for covariates showed that patients who felt particularly affected by their skin condition during the previous week displayed extreme preference for short/no waiting time and were less concerned about other aspects of the appointment. Higher levels of educational attainment were associated with larger differences in utility between the levels of all attributes, although the attributes per use had the same impact upon choices as those with lower levels of attainment. The study also demonstrated the high levels of agreement between summary analyses using weighted least squares and estimates from multinomial models. Conclusion: Robust policy-relevant information on preferences can be obtained from discrete choice experiments incorporating best-worst questions with relatively small sample sizes. The separation of the effects due to attribute impact from the position of levels on the latent utility scale is not possible using traditional discrete choice experiments. This separation is important because health policies to change the levels of attributes in health care may be very different from those aiming to change the attribute impact per se. The good approximation of summary analyses to the multinomial model is a useful finding, because weighted least squares choice totals give better insights into the choice model and promote greater familiarity with the preference data

Patients' and urologists' preferences for prostate cancer treatment: A discrete choice experiment

__Abstract__ Background: Patients' preferences are important for shared decision making. Therefore, we investigated patients' and urologists' preferences for treatment alternatives for early prostate cancer (PC). Methods: A discrete choice experiment was conducted among 150 patients who were waiting for their biopsy results, and 150 urologists. Regression analysis was used to determine patients' and urologists' stated preferences using scenarios based on PC treatment modality (radiotherapy, surgery, and active surveillance (AS)), and risks of urinary incontinence and erectile dysfunction.Results:The response rate was 110 out of 150 (73%) for patients and 50 out of 150 (33%) for urologists. Risk of urinary incontinence was an important determinant of both patients' and urologists' stated preferences for PC treatment (P<0.05). Treatment modality also influenced patients' stated preferences (P<0.05), whereas the risk of erectile dysfunction due to radiotherapy was mainly important to urologists (P<0.05). Both patients and urologists preferred AS to radical treatment, with the exception of patients with anxious/depressed feelings who preferred radical treatment to AS. Conclusion: Although patients and urologists generally may prefer similar treatments for PC, they showed different trade-offs between various specific treatment aspects. This implies that urologists need to be aware of potential differences compared with the patient's perspective on treatment decisions in shared decision making on PC treatment

Development of a men&amp;#39;s Preference for Testosterone Replacement Therapy (P-TRT) instrument

Sheryl L Szeinbach,1 Enrique Seoane-Vazquez,2 Kent H Summers31Ohio State University, College of Pharmacy, Columbus, OH, USA; 2International Center for Pharmaceutical Economics and Policy, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, 3Endo Health Solutions, Chadds Ford, PA, USABackground: This study used a standard research approach to create a final conceptual model and the Preference for the Testosterone Replacement Therapy (P-TRT) instrument.Methods: A discussion guide was developed from a literature review and expert opinion to direct one-on-one interviews with participants who used testosterone replacement therapy and consented to participate in the study. Data from telephone interviews were transcribed for theme analysis using NVivo 9 qualitative analysis software, analyzed descriptively from a saturation grid, and used to evaluate men&amp;#39;s P-TRT. Data from cognitive debriefing for five participants were used to evaluate the final conceptual model and validate the initial P-TRT instrument.Results: Item saturation and theme exhaustion was achieved by 58 male participants of mean age 55.0 &amp;plusmn; 10.0 (22&amp;ndash;69) years who had used testosterone replacement therapy for a mean of 175.0 &amp;plusmn; 299.2 days. The conceptual model was developed from items and themes obtained from the participant interviews and saturation grid. Items comprising eight dimensions were used for instrument development, ie, ease of use, effect on libido, product characteristics, physiological impact, psychological impact, side effects, treatment experience, and preference. Results from the testosterone replacement therapy preference evaluation provide a detailed insight into why most men preferred a topical gel product over an injection or patch.Conclusion: Items and themes relating to use of testosterone replacement therapy were in concordance with the final conceptual model and 29-item P-TRT instrument. The standard research approach used in this study produced the P-TRT instrument, which is suitable for further psychometric development and use in clinical practice.Keywords: hormones, hypogonadism, outcome assessment, patient preference, testosteron