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Psychometric Properties of an Instrument for Assessing Treatment Satisfaction Associated With Pramlintide UseFrom the Johns Hopkins University School of Medicine (Dr Rubin, Dr Peyrot) and Loyola College (Dr Peyrot), Baltimore, Maryland. Correspondence to Richard Roy Rubin, PhD, 946 E. Piney Hill Road, Monkton, MD 21111 (rrubin4{at}jhmi.edu). Background The clinical benefits of any new treatment depend substantially on patient acceptance and treatment satisfaction, because only well-accepted treatments will be widely used. Thus, it is important to understand how patients experience a new treatment. Objective This study assessed the psychometric properties of a questionnaire (PRAM-TSQ) designed to measure treatment satisfaction in patients using pramlintide (an analog of amylin, a glucoregulatory hormone co-secreted with insulin), which is designed to improve glucose control. Methods
Patients with diabetes completed the 14-item PRAM-TSQ at the end of 2
separate placebo-controlled, double-blind, randomized clinical trials in which
they added active or placebo pramlintide to their established insulin regimen.
Factor analysis was used to assess item clustering for the PRAM-TSQ, and the
Cronbach's Results
Scaling revealed 4 PRAM-TSQ components: Global Benefits, Specific Benefits,
Absence of Side Effects, Treatment Preference. The total composite PRAM-TSQ
had good reliability in both studies (type 1 Conclusions The PRAM-TSQ shows evidence of being a valid, reliable instrument for assessing treatment satisfaction in patients using pramlintide. The subscales are comprehensive and sensitive to the known potential effects of pramlintide treatment. Diabetes educators can use patient responses to the PRAM-TSQ to facilitate treatment adherence by reminding patients of treatment benefits they experience and by helping patients overcome negative effects they report.
The Diabetes Educator, Vol. 35, No. 1,
136-146 (2009) This article has been cited by other articles:
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measure of inter-item agreement was used to assess scale
reliability. PRAM-TSQ validity was assessed by comparing scores between
treatment arms, and effect sizes were measured by the
statistic.
Validity was also assessed by associations (Pearson correlations) between the
PRAM-TSQ and clinical study outcomes (end of study values and during study
changes in clinical measures: postprandial glucose [PPG], A1C, weight, and
insulin requirements). 