Abstract

IntroductionRheumatic diseases are among the most common and debilitating health problems in the United States. These diseases are chronic, can result in severe decrements of physical and psychosocial functioning and affect patients' overall quality of life. A consensus regarding the best patient outcomes to be measured in randomized, controlled trials and prospective natural history studies is essential to provide best estimates of efficacy and safety of interventions across diverse patient populations.MethodsFace-to-face English- and Spanish-language cognitive interviews were conducted among urban Hispanic and African American patients with rheumatic disease to develop a questionnaire booklet. Six measures validating patient-reported outcomes were included: the Arthritis Self-Efficacy Scale, the Stanford Health Assessment Questionnaire Disability Index, the Wong-Baker Faces Pain Scale, the Short Acculturation Scale, the Center for Epidemiologic Studies Depression Scale and the Inventory of Complementary and Alternative Medicine Practices. A sample of patients (n = 15) attending the National Institute of Arthritis and Musculoskeletal and Skin Diseases Community Health Center participated in the initial interviews. Revised measures were further tested for reliability in a separate sample of patients (n = 109) upon enrollment at the health center.ResultsCognitive interviews provided feedback for questionnaire modifications and methods to enhance content validity and data quality, including discarding redundant questions, providing visual aids and concrete examples when appropriate and increasing the use of racially and ethnically concordant interviewers. The cognitive interviews further elucidated that some contextual assumptions and language usage in the original questionnaires may not have taken each respondent's environmental and sociocultural context into consideration. Internal reliability for previously tested measures remained high (Cronbach's α = 0.87-0.94).ConclusionsCognitive interviewing techniques are useful in a diverse sample of racial and ethnic minority patients with rheumatic disease as a method to assess the content validity of the specific outcome measures selected. The data collection approaches and methods described here ultimately enhance data quality. Vigilance is required in the selection of outcome measures in studies or in practice, particularly with each new language translation and/or culturally unique or diverse sample.

Highlights

  • Rheumatic diseases are among the most common and debilitating health problems in the United States

  • This paper describes the cognitive interviewing process utilized by the investigators to refine a questionnaire designed to assess Patient-reported outcomes (PROs) and complementary and alternative medicine (CAM) practices [15] among Hispanic and African American patients with rheumatic disease

  • Setting and sample Participants were recruited from a convenience sample of patients attending the Community Health Center (CHC) and enrolled in the intramural National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) Natural History of Rheumatic Disease in Minority Communities protocol (01-AR-0227)

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Summary

Introduction

Rheumatic diseases are among the most common and debilitating health problems in the United States These diseases are chronic, can result in severe decrements of physical and psychosocial functioning and affect patients’ overall quality of life. A consensus regarding the best patient outcomes to be measured in randomized, controlled trials and prospective natural history studies is essential to provide best estimates of efficacy and safety of interventions across diverse patient populations. Consensus on the outcomes to be measured in randomized, controlled trials and prospective natural history studies is essential because utilizing common measures across studies can provide best estimates for efficacy and safety across diverse patient populations [6]. Patient-reported outcomes (PROs) allow clinicians and researchers to map out an individual’s experience of symptoms in detail and further explicate the impact of specific rheumatic diseases from the underlying mechanisms of the disease to their broad psychosocial impact on individuals, their family and their communities

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