BACKGROUND: Diabetes is a leading cause of death and disability in the US and is twice as common among Hispanic Americans as non-Hispanics. The societal costs of diabetes provide an impetus for developing tools that can improve patient care and delay or prevent diabetes complications. METHODS: We implemented a feasibility study of a Computerized Adaptive Test (CAT) to measure diabetes impact using a sample of 103 English- and 97 Spanish-speaking patients (mean age = 56.5, 66.5% female) in a community medical center with a high proportion of minority patients (28% African-American). The 37 items of the Diabetes Impact Survey were translated using forward-backward translation and cognitive debriefing. Participants were randomized to receive either the full-length tool or the Diabetes-CAT first, in the patient's native language. RESULTS: The number of items and the amount of time to complete the survey for the CAT was reduced to one-sixth the amount for the full-length tool in both languages, across disease severity. Confirmatory Factor Analysis confirmed that the Diabetes Impact Survey is unidimensional. The Diabetes-CAT demonstrated acceptable internal consistency reliability, construct validity, and discriminant validity in the overall sample, although subgroup analyses suggested that the English sample data evidenced higher levels of reliability and validity than the Spanish sample and issues with discriminant validity in the Spanish sample. Differential Item Function analysis revealed differences in responses tendencies by language group in 3 of the 37 items. Participant interviews suggested that the Spanish-speaking patients generally preferred the paper survey to the computer-assisted tool, and were twice as likely to experience difficulties understanding the items. CONCLUSIONS: While the Diabetes-CAT demonstrated clear advantages in reducing respondent burden as compared to the full-length tool, simplifying the item bank will be necessary for enhancing the feasibility of the Diabetes-CAT for use with low literacy patients.
RCT Entities:
BACKGROUND:Diabetes is a leading cause of death and disability in the US and is twice as common among Hispanic Americans as non-Hispanics. The societal costs of diabetes provide an impetus for developing tools that can improve patient care and delay or prevent diabetes complications. METHODS: We implemented a feasibility study of a Computerized Adaptive Test (CAT) to measure diabetes impact using a sample of 103 English- and 97 Spanish-speaking patients (mean age = 56.5, 66.5% female) in a community medical center with a high proportion of minority patients (28% African-American). The 37 items of the Diabetes Impact Survey were translated using forward-backward translation and cognitive debriefing. Participants were randomized to receive either the full-length tool or the Diabetes-CAT first, in the patient's native language. RESULTS: The number of items and the amount of time to complete the survey for the CAT was reduced to one-sixth the amount for the full-length tool in both languages, across disease severity. Confirmatory Factor Analysis confirmed that the Diabetes Impact Survey is unidimensional. The Diabetes-CAT demonstrated acceptable internal consistency reliability, construct validity, and discriminant validity in the overall sample, although subgroup analyses suggested that the English sample data evidenced higher levels of reliability and validity than the Spanish sample and issues with discriminant validity in the Spanish sample. Differential Item Function analysis revealed differences in responses tendencies by language group in 3 of the 37 items. Participant interviews suggested that the Spanish-speaking patients generally preferred the paper survey to the computer-assisted tool, and were twice as likely to experience difficulties understanding the items. CONCLUSIONS: While the Diabetes-CAT demonstrated clear advantages in reducing respondent burden as compared to the full-length tool, simplifying the item bank will be necessary for enhancing the feasibility of the Diabetes-CAT for use with low literacy patients.
Authors: Neil Aaronson; Jordi Alonso; Audrey Burnam; Kathleen N Lohr; Donald L Patrick; Edward Perrin; Ruth E Stein Journal: Qual Life Res Date: 2002-05 Impact factor: 4.147
Authors: John E Ware; Mark Kosinski; Jakob B Bjorner; Martha S Bayliss; Alice Batenhorst; Carl G H Dahlöf; Stewart Tepper; Andrew Dowson Journal: Qual Life Res Date: 2003-12 Impact factor: 4.147
Authors: W H Polonsky; B J Anderson; P A Lohrer; G Welch; A M Jacobson; J E Aponte; C E Schwartz Journal: Diabetes Care Date: 1995-06 Impact factor: 19.112
Authors: Galina Velikova; Laura Booth; Adam B Smith; Paul M Brown; Pamela Lynch; Julia M Brown; Peter J Selby Journal: J Clin Oncol Date: 2004-02-15 Impact factor: 44.544
Authors: Emilie E Agardh; Anders Ahlbom; Tomas Andersson; Suad Efendic; Valdemar Grill; Johan Hallqvist; Claes-Göran Ostenson Journal: Diabetes Care Date: 2004-03 Impact factor: 19.112
Authors: Diane M Turner-Bowker; Renee N Saris-Baglama; Michael A Derosa; Christine A Paulsen; Christopher P Bransfield Journal: Patient Date: 2009-12-01 Impact factor: 3.883
Authors: Diane M Turner-Bowker; Renee N Saris-Baglama; Michael A Derosa; Christine A Paulsen; Christopher P Bransfield Journal: Patient Date: 2009-12-01 Impact factor: 3.883
Authors: Morten Aa Petersen; Johannes M Giesinger; Bernhard Holzner; Juan I Arraras; Thierry Conroy; Eva-Maria Gamper; Madeleine T King; Irma M Verdonck-de Leeuw; Teresa Young; Mogens Groenvold Journal: Qual Life Res Date: 2013-02-28 Impact factor: 4.147
Authors: Klaas Sijtsma; Wilco H M Emons; Samantha Bouwmeester; Ivan Nyklícek; Leo D Roorda Journal: Qual Life Res Date: 2008-02-02 Impact factor: 4.147