Effects of patient-reported outcome assessment order

Background: In clinical trials and clinical practice, patient-reported outcomes are almost always assessed using multiple patient-reported outcome measures at the same time. This raises concerns about whether patient responses are affected by the order in which the patient-reported outcome measures are administered. Methods: This questionnaire-based study of order effects included adult cancer patients from five cancer centers. Patients were randomly assigned to complete questionnaires via paper booklets, interactive voice response system, or tablet web survey. Linear Analogue Self-Assessment, Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events, and Patient-Reported Outcomes Measurement Information System assessment tools were each used to measure general health, physical function, social function, emotional distress/anxiety, emotional distress/depression, fatigue, sleep, and pain. The order in which the three tools, and domains within tools, were presented to patients was randomized. Rates of missing data, scale scores, and Cronbach’s alpha coefficients were compared by the order in which they were assessed. Analyses included Cochran–Armitage trend tests and mixed models adjusted for performance score, age, sex, cancer type, and curative intent. Results: A total of 1830 patients provided baseline patient-reported outcome assessments. There were no significant trends in rates of missing values by whether a scale was assessed earlier or later. The largest order effect for scale scores was due to a large mean score at one assessment time point. The largest difference in Cronbach’s alpha between the versions for the Patient-Reported Outcomes Measurement Information System scales was 0.106. Conclusion: The well-being of a cancer patient has many different aspects such as pain, fatigue, depression, and anxiety. These are assessed using a variety of surveys often collected at the same time. This study shows that the order in which the different aspects are collected from the patient is not important

A review of angular leaf spot resistance in common bean.

Angular leaf spot (ALS), caused by Pseudocer-cospora griseola, is one of the most devastating diseases of common bean (Phaseolus vulgarisL.) in tropical and subtropical production areas. Breeding for ALS resistance is difficult due to the extensive virulence diversity of P. griseolaand the recurrent appearance of new virulent races. Five major loci, Phg-1 to Phg-5, confer-ring ALS resistance have been named, and markers tightly linked to these loci have been reported. Quantitative trait loci (QTLs) have also been described, but the validation of some QTLs is still pending. The Phg-1, Phg-4, and Phg-5loci are from common bean cultivars of the Andean gene pool, whereas Phg-2 and Phg-3are from beans of the Mesoamerican gene pool. The reference genome of common bean and high-throughput sequencing technologies are enabling the development of molecular markers closely linked to the Phg loci, more accurate mapping of the resistance loci, and the compar-ison of their genomic positions. The objective of this report is to provide a comprehensive review of ALS resistance in common bean. Further-more, we are reporting three case studies of ALS resistance breeding in Latin America and Africa. This review will serve as a reference for future resistance mapping studies and as a guide for the selection of resistance loci in breeding programs aiming to develop common bean cultivars with durable ALS resistance

Assessment of current practice in the diagnosis and therapy of idiopathic pulmonary fibrosis

SummaryBackgroundThe consensus statement on the Diagnosis and Therapy of Idiopathic Pulmonary Fibrosis (IPF) formulated by the American Thoracic Society/European Respiratory Society (ATS/ERS) was published in 2000. Acceptance and implementation of these guidelines have not been assessed. We surveyed the fellows of the American College of Chest Physicians (FCCP) to establish current practice patterns regarding the diagnosis and therapy of IPF.MethodsWe electronically distributed a 32-item questionnaire to all 6443 pulmonary medicine board-certified Fellows of the American College of Chest Physicians. The response rate was 13%. Demographic characteristics were similar between respondents and non-respondents.ResultsSeventy-two percent of respondents were familiar with the ATS/ERS consensus statement and 63% found it clinically useful. However, a similar number of respondents indicated that an update is needed. Bronchoscopy and surgical lung biopsy are used infrequently. Forty-five percent of pulmonary physicians advocate providing only supportive care for patients outside of clinical trials. If pharmacological therapy is recommended, prednisone (either alone or in combination with azathioprine) or off-label agents are preferentially prescribed. Despite physician awareness (79%) of clinical trials, interested patients are not consistently referred (54%). A majority of respondents (61%) felt that lung transplantation represents the only effective therapy for IPF, and 86% refer their patients to lung transplant centers.ConclusionsThere is substantial variability among pulmonary physicians in the diagnosis and management of IPF. This may, in part, reflect the current lack of effective pharmacologic therapy. Updated practice guidelines are needed for the diagnosis and therapy of IPF

Conducting online surveys

Contains fulltext : 56785.pdf (publisher's version ) (Closed access)The World Wide Web (WWW) is increasingly being used as a tool and platform for survey research. Two types of electronic or online surveys available for data collection are the email and Web based survey, and they constitute the focus of this paper. We address a multitude of issues researchers should consider before and during the use of this method of data collection: advantages and liabilities with this form of survey research, sampling problems, questionnaire design considerations, suggestions in approaching potential respondents, response rates and aspects of data processing. Where relevant, the methodological issues involved are illustrated with examples from our own research practice. This methods review shows that most challenges are resolved when taking into account the principles that guide the conduct of conventional surveys.22 p