Use of patient-reported outcome measures (PROMs) in clinical diabetes consultations: study protocol for the DiaPROM randomised controlled trial pilot study

Abstract

Introduction Although diabetes distress is found to be associated with decreased glycaemic control among adults with type 1 diabetes, the psychological and emotional impact of living with the condition is often not recognised and often under-reported in diabetes care. Therefore, regular assessment of diabetes distress is recommended. Assessment of diabetes distress using patient-reported outcome measures (PROMs) in clinical practice has the potential to enhance care for people with diabetes by identifying problems and improving patient–clinician communication. In this study protocol, we describe a pilot randomised controlled trial (RCT) aiming to test the feasibility of all components of an empowerment-based intervention using PROMs as dialogue support in clinical diabetes consultations, and to address the uncertainties associated with running a fully powered evaluation study.

Methods and analysis We will undertake a two-arm pilot RCT of an intervention using the Problem Areas In Diabetes (PAID) scale in clinical diabetes consultations in order to conclude whether a fully powered trial is appropriate and/or feasible. The study will also include qualitative indepth interviews with participants and healthcare providers. Our objectives are to (1) evaluate the recruitment procedures and attrition rates; (2) evaluate the performance of the randomisation procedure; (3) evaluate the participants’ mean scores on the outcome measures before and after the intervention; (4) evaluate if the intervention consultations are acceptable and feasible; and (5) explore patients’ and healthcare providers’ experiences with the use of PAID as dialogue support and empowerment-based communication skills in clinical diabetes consultations. The quantitative data analysis includes descriptive statistics (frequencies, percentages, means, SD and CI). For the qualitative data, we will perform thematic analysis.