Abstract
Background
Variables associated with treatment satisfaction (TS) can be broadly categorized as precursors, ongoing treatment issues, and treatment outcomes. This study continues the validation process for the Insulin Treatment Satisfaction Questionnaire (ITSQ) while examining relationships between TS and these broader influences.
Methods
Data (N = 299) were collected in a RCT comparing safety and efficacy of inhaled vs. injectable insulin. Validation examined item and factor characteristics, reliability and validity. Regression analyses examined relationships between overall and domain specific TS and the broader influences.
Results
Patients with less previous or current treatment burden had greater TS (p < 0.001). Gender, injection fear, functioning, age, compliance and glycemic control were differentially related to TS at the beginning and end of study. Baseline satisfaction was predictive of future TS (p < 0.001). When all significant factors were examined together, lower burden with the current treatment and higher satisfaction with previous treatment continued to be key (p < 0.001) while other factors were no longer significant. Validation findings confirmed the ITSQ was psychometrically sound.
Conclusion
Over the course of treatment, some factors are associated with TS at treatment start while others are key drivers at treatment end. This suggests that TS is not a static concept.
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Abbreviations
- D-FISQ:
-
Diabetes fear of self-injection questionnaire
- DS:
-
Insulin delivery device satisfaction subscale
- GC:
-
Glycemic control subscale
- HC:
-
Hypoglycemic control subscale
- HRQoL:
-
Health-related quality of life
- IR:
-
Inconvenience of regimen subscale
- ITSQ:
-
Insulin treatment satisfaction questionnaire
- LF:
-
Lifestyle flexibility subscale
- NPH:
-
Basal insulin
- PRO:
-
Patient-reported outcome
- SAP:
-
Statistical analysis plan
- TS:
-
Treatment satisfaction
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Acknowledgment
This project and manuscript was supported by a grant from Novo Nordisk, Denmark.
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Brod, M., Christensen, T. & Bushnell, D. Maximizing the value of validation findings to better understand treatment satisfaction issues for diabetes. Qual Life Res 16, 1053–1063 (2007). https://doi.org/10.1007/s11136-007-9209-1
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DOI: https://doi.org/10.1007/s11136-007-9209-1