ArticlePatient related outcome measures2025
Validation of a Questionnaire for Assessing the Emotional Impact of Treatment for Type 2 Diabetes.
Article in Patient related outcome measures, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Exit Interviews Examining Patient Experiences with Tirzepatide and Dulaglutide for Treatment of Type 2 Diabetes in the SURPASS-CVOT Trial.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Emotional reactions to treatment could affect treatment adherence and treatment outcomes, and it is therefore important to assess the emotional impact of treatment and consider this impact in clinical decision-making. The Emotional Impact of Diabetes Treatment Questionnaire - Status version (EIDTQ-Status) was developed based on qualitative research with patients as the first patient-reported outcome measure to assess both the positive and negative emotional impacts of type 2 diabetes (T2D) and its treatment. This study assessed the psychometric properties of the EIDTQ-Status. Methods: Participants with T2D treated with a range of medications were recruited from eight clinical sites in the United States. Analysis of the EIDTQ-Status focused on item performance, subscale identification (including exploratory factor analysis), development of a scoring algorithm, test-retest reliability (intraclass correlation coefficients in a third of the participants who were randomized to attend a second visit), internal consistency reliability (Cronbach's alpha), and construct validity (via comparisons to previously validated generic and diabetes-specific instruments). Results: The sample included 250 participants (mean age = 59.7 years old; 54.4% female). Based on item performance and exploratory factor analysis, 14 items were retained and grouped into three subscales: (1) positive emotions, (2) negative emotions, and (3) sense of control over diabetes, eating, and weight, as well as a total score. The EIDTQ-Status demonstrated good internal consistency reliability (Cronbach's alphas of the three subscales and total score: 0.92, 0.88, 0.85, 0.77). Test-retest reliability was acceptable with no significant differences between administrations 7+2 days apart among stable participants (n=37; intraclass correlation coefficients: 0.85, 0.67, 0.62, and 0.88). Construct validity was supported via significant correlations with validated instruments ( Conclusion: The EIDTQ-Status had strong factor structure with three subscales and a total score that demonstrated good reliability and validity. This questionnaire may be useful in clinical trials and observational research assessing the emotional impact of treatment for T2D.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.