Prescott tests of equality in binary data under a three-treatment three-period crossover design

Patient-Reported Outcomes and Impact of Type 2 Diabetes: A Cross-Sectional Study in the Kingdom of Saudi Arabia

BACKGROUND

The Kingdom of Saudi Arabia (KSA) has the second highest prevalence of type 2 diabetes mellitus (T2DM) in the Middle East. There is a paucity of research on the experiences and treatment preferences of patients with T2DM in KSA. This study explored Saudi patients' health-related quality of life, eating habits, experiences during Ramadan, and preference between two glucagon-like peptide-1 receptor agonist (GLP-1 RA) treatment devices.

METHODS

A cross-sectional, observational study was conducted in three cities in KSA. Participants completed sociodemographic and clinical forms, EQ-5D-5L, Impact of Weight on Self-Perceptions, and a diabetes treatment survey. Participants also viewed instructional videos on GLP-1 RA injection devices and indicated their device preference.

RESULTS

Of the 310 participants, 53% were male. The mean age was 43 years (range: 30.0-75.0), duration since diabetes diagnosis was 6.3 years (range: 0.2-27.1), the most commonly reported last HbA1c level was between ≥7.1% and 8% (45%). The mean EQ-5D-5L index score was 0.90, with some participants reporting problems with pain/discomfort (34.5%) and usual activities (33.2%). Patients reported a low-to-moderate impact of weight on self-perception. In preparation for Ramadan, participants sought physician advice on diabetes management (37%) and/or increased checks of their blood glucose (37%). After watching the videos, 89% (n=277) of participants indicated a device preference, with significantly more preferring the dulaglutide device (n=186, 67%) over the semaglutide device (n=91, 33%) (p<0.0001).

CONCLUSION

This study indicates that T2DM has a significant social, emotional, and behavioral impact on the lives of patients in KSA.

Model-free tests of equality in binary data under an incomplete block design

Using Prescott's model-free approach, we develop an asymptotic procedure and an exact procedure for testing equality between treatments with binary responses under an incomplete block crossover design. We employ Monte Carlo simulation and note that these test procedures can not only perform well in small-sample cases but also outperform the corresponding test procedures accounting for only patients with discordant responses published elsewhere. We use the data taken as a part of the crossover trial comparing two different doses of an analgesic with placebo for the relief of primary dysmenorrhea to illustrate the use of test procedures discussed here.