Internal structure and psychometric properties of Diabetes Distress Scale for Type 1 Diabetes

Psychiatriki ◽  
2020 ◽  
Vol 31 (4) ◽  
pp. 302-309
Author(s):  
F. Griva ◽  
P. Thomakos ◽  
O. Kepaptsoglou ◽  
M. Ginieri-Coccossis ◽  
Α. Mitrakou ◽  
...  
2020 ◽  
Author(s):  
Fay Griva ◽  
P. Thomakos ◽  
O. Kepaptsoglou ◽  
M. Ginieri-Coccossis ◽  
A. Mitrakou ◽  
...  

2016 ◽  
Vol 23 (5) ◽  
pp. 667-680 ◽  
Author(s):  
Eva K Fenwick ◽  
Gwyn Rees ◽  
Elizabeth Holmes-Truscott ◽  
Jessica L Browne ◽  
Frans Pouwer ◽  
...  

This study used Rasch analysis to examine the psychometric validity of the Diabetes Distress Scale and the Problem Areas in Diabetes scale to assess diabetes distress in 3338 adults with diabetes (1609 completed the Problem Areas in Diabetes scale ( n = 675 type 1 diabetes; n = 934 type 2 diabetes) and 1705 completed the Diabetes Distress Scale ( n = 693 type 1 diabetes; n = 1012 type 2 diabetes)). While criterion and convergent validity were good, Rasch analysis revealed suboptimal precision and targeting, and item misfit. Unresolvable multidimensionality within the Diabetes Distress Scale suggests a total score should be avoided, while suboptimal precision suggests that the Physician-related and Interpersonal distress subscales should be used cautiously.


2021 ◽  
Vol 9 (1) ◽  
pp. e001934
Author(s):  
Anne M Doherty ◽  
Anne Herrmann-Werner ◽  
Arann Rowe ◽  
Jennie Brown ◽  
Scott Weich ◽  
...  

IntroductionThis study examines the feasibility of conducting diabetes-focused cognitive–behavioral therapy (CBT) via a secure online real-time instant messaging system intervention to support self-management and improve glycemic control in people with type 1 diabetes.Research design and methodsWe used a pre–post uncontrolled intervention design over 12 months. We recruited adults with type 1 diabetes and suboptimal glycemic control (HbA1c ≥69 mmol/mol (DCCT 8.5%) for 12 months) across four hospitals in London. The intervention comprised 10 sessions of diabetes-focused CBT delivered by diabetes specialist nurses. The primary outcomes were number of eligible patients, rates of recruitment and follow-up, number of sessions completed and SD of the main outcome measure, change in HbA1c over 12 months. We measured the feasibility of collecting secondary outcomes, that is, depression measured using Patient Health Questionnaire-9 (PHQ-9), anxiety measured Generalised Anxiety Disorder (GAD) and the Diabetes Distress Scale (DDS).ResultsWe screened 3177 patients, of whom 638 were potentially eligible, from whom 71 (11.1%) were recruited. The mean age was 28.1 (13.1) years, and the mean HbA1c was 84.6 mmol/mol (17.8), DCCT 9.9%. Forty-six (65%) patients had at least 1 session and 29 (41%) completed all sessions. There was a significant reduction in HbA1c over 12 months (mean difference −6.2 (2.3) mmol/mol, DCCT 0.6%, p=0.038). The change scores in PHQ-9, GAD and DDS also improved.ConclusionsIt would be feasible to conduct a full-scale text-based synchronized real-time diabetes-focused CBT as an efficacy randomized controlled trial.


2019 ◽  
Vol 45 (4) ◽  
pp. 420-430 ◽  
Author(s):  
Marwan Bakhach ◽  
Mark W. Reid ◽  
Elizabeth A. Pyatak ◽  
Cari Berget ◽  
Cindy Cain ◽  
...  

Purpose To assess the impact of a home telemedicine clinic model (CoYoT1 Clinic) on psychosocial and behavioral outcomes designed for young adults (YAs) with type 1 diabetes (T1D). Methods YAs self-selected to participate in the CoYoT1 Clinic or serve as a usual care control. CoYoT1 Clinic visits consisted of an individual appointment with a provider and a group appointment with other YAs with T1D using home telemedicine. Psychosocial and behavioral functioning was assessed by 4 measures: Diabetes Distress Scale, Self-Efficacy for Diabetes Scale, Self-Management of Type 1 Diabetes in Adolescence Scale, and Center for Epidemiologic Studies Depression Scale. Results Forty-two patients participated in the CoYoT1 Clinic and 39 patients served as controls. CoYoT1 participants reported lower levels of distress ( P = .03), increased diabetes self-efficacy ( P = .01), and improved ability to communicate with others about diabetes ( P = .04) over the study period compared to controls. YA males in the control group reported increases in depressive symptoms ( P = .03) during the study period, but CoYoT1 participants showed no changes. Conclusion Group home telemedicine for YAs with T1D positively affects diabetes distress, self-efficacy, and diabetes-specific communication. These positive findings have the potential to also affect the YAs’ long-term diabetes outcomes. Further investigation of the model is needed.


Author(s):  
Muhammad W. Darawad ◽  
Sawsan Hammad ◽  
Osama A. Samarkandi ◽  
Ayman M. Hamdan-Mansour ◽  
Amani A. Khalil

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A252-A252
Author(s):  
Stephanie Griggs ◽  
Kingman Strohl ◽  
Seunghee Margevicius ◽  
Margaret Grey ◽  
Ronald Hickman

Abstract Introduction Circadian alignment is an important element in individual health, and one behavioral marker, rest-activity rhythm (RAR), may influence disease management in young adults with type 1 diabetes (T1D). Thus, in this descriptive study, we examined whether circadian rhythm is correlated with symptoms (emotional and diabetes distress, and diabetes physical symptom burden) and glucose variability in young adults with T1D. Methods Using convenience sampling, young adults with T1D underwent concurrent actigraphy and continuous glucose monitoring for 6–14 days to generate the following RAR parameters: (MESOR, amplitude, acrophase, and circadian quotient) and glucose variability indices (coefficient of variation and time in range). Participants completed the 8-item Epworth Sleepiness Scale, 8-item PROMIS v1.0 Emotional Distress Scale, 17-item Diabetes Distress Scale, and 34-item Diabetes Symptom Checklist-Revised. Cosinor analysis was used to compute the RAR parameters and linear regression modeling procedures were performed to determine the associations among the study variables. Results The sample included 46 young adults (mean age 22.3±3.2; 32.6% male; 84.8% non-Hispanic White, A1C mean 7.2±1.1%, BMI 27.0±4.4 kg/m2). A more robust rhythm (higher amplitude) was associated with a lower diabetes symptom burden (ß=-0.31, p=.035). A higher circadian quotient was associated with less daytime sleepiness (ß=-0.41, p=.004). All associations between the RAR parameters and symptom measures remained statistically significant (p<.05) after adjustment for sex and BMI. The associations between the RAR parameters and glucose variability indices were not significant. Conclusion RAR was associated with daytime sleepiness, as well as symptom burden in young adults with T1D even after consideration of sex and BMI. Future investigators should clarify the causality of these associations and the potential for improving the strength and stability of RAR in the mitigation of daytime sleepiness and symptoms. Support (if any) This research is or was partially supported by grants from the American Academy of Sleep Medicine (220-BS-19), National Institute of Nursing Research (K99NR018886 & T32NR0008346), Sigma Theta Tau International, and Dexcom provided continuous glucose monitors (G4) free of charge for participants who did not have a device.


2020 ◽  
Vol 45 (7) ◽  
pp. 767-779
Author(s):  
Jessica Pierce ◽  
Jobayer Hossain ◽  
Anthony Gannon

Abstract Objective We recently developed and content validated the Healthcare Transition Outcomes Inventory (HCTOI), a stakeholder vetted, multidimensional measure of the outcomes of the transition from pediatric to adult healthcare for young adults (YA) with type 1 diabetes (T1D). In this study, we aimed to evaluate the psychometric properties of the HCTOI. Methods We collected and analyzed cross-sectional data from 128 YA (18–25 years old) with T1D to evaluate the psychometric properties of the HCTOI. We conducted confirmatory factor analysis (CFA), item analysis, and examined reliability and validity in relation to measures of quality of life, diabetes distress, regimen adherence, and glycemic control. Results CFA supported a five-factor solution: integration of T1D into emerging adult roles, balance of parental support with T1D autonomy, establishing and maintaining continuity of care, forming a collaborative patient–provider relationship, and ownership of T1D. We reduced the HCTOI from 54 to 34 items. The HCTOI demonstrated adequate internal consistency (α’s = 0.62–0.87) and significant correlations demonstrated construct (quality of life, diabetes distress) and criterion validity (adherence, glycemic control). Conclusions The HCTOI demonstrated promising initial psychometric properties. As the first measure of the multiple dimensions of healthcare transition outcomes, the HCTOI provides a means to examine longitudinal relations between transition readiness and outcomes and to assess the efficacy or effectiveness of interventions and programs designed to improve the transition process for YA with T1D.


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