Exploring Severe Mental Illness and Diabetes: Protocol for a Longitudinal, Observational, and Qualitative Mixed Methods Study

Sue Bellass, Johanna Taylor, Lu Han, Stephanie L Prady, David Shiers, Rowena Jacobs, Richard Ian Gregory Holt, John Radford, Simon Gilbody, Catherine Hewitt, Tim Doran, Sarah L Alderson, Najma Siddiqi, Sue Bellass, Johanna Taylor, Lu Han, Stephanie L Prady, David Shiers, Rowena Jacobs, Richard Ian Gregory Holt, John Radford, Simon Gilbody, Catherine Hewitt, Tim Doran, Sarah L Alderson, Najma Siddiqi

Abstract

Background: The average life expectancy for people with a severe mental illness (SMI) such as schizophrenia or bipolar disorder is 15 to 20 years less than that for the population as a whole. Diabetes contributes significantly to this inequality, being 2 to 3 times more prevalent in people with SMI. Various risk factors have been implicated, including side effects of antipsychotic medication and unhealthy lifestyles, which often occur in the context of socioeconomic disadvantage and health care inequality. However, little is known about how these factors may interact to influence the risk of developing diabetes and poor diabetic outcomes, or how the organization and provision of health care may contribute.

Objective: This study aims to identify the determinants of diabetes and to explore variation in diabetes outcomes for people with SMI.

Methods: This study will employ a concurrent mixed methods design combining the interrogation of electronic primary care health records from the Clinical Practice Research Datalink (CPRD GOLD) with qualitative interviews with adults with SMI and diabetes, their relatives and friends, and health care staff. The study has been funded for 2 years, from September 2017 to September 2019, and data collection has recently ended.

Results: CPRD and linked health data will be used to explore the association of sociodemographics, illness, and health care-related factors with both the development and outcomes of type 2 diabetes in people with SMI. Experiences of managing the comorbidity and accessing health care will be explored through qualitative interviews using topic guides informed by evidence synthesis and expert consultation. Findings from both datasets will be merged to develop a more comprehensive understanding of diabetes risks, interventions, and outcomes for people with SMI. Findings will be translated into recommendations for interventions and services using co-design workshops.

Conclusions: Improving diabetes outcomes for people with SMI is a high-priority area nationally and globally. Understanding how risk factors combine to generate high prevalence of diabetes and poor diabetic outcomes for this population is a necessary first step in developing health care interventions to improve outcomes for people with diabetes and SMI.

Trial registration: ClinicalTrials.gov NCT03534921; https://ichgcp.net/clinical-trials-registry/NCT03534921.

Keywords: bipolar disorder; diabetes complications; diabetes mellitus; schizophrenia.

Conflict of interest statement

Conflicts of Interest: DS is expert advisor to the National Institute for Health and Clinical Excellence (NICE) center for guidelines and a member of the current NICE guideline development group for Rehabilitation in Adults With Complex Psychosis and Related Severe Mental Health Conditions, board member of the National Collaborating Centre for Mental Health, and clinical advisor (paid consultancy basis) to National Clinical Audit of Psychosis. CH and SG are members of the National Institute for Health Research Health Technology Assessment commissioning board. None of the other authors declared competing interests.

©Sue Bellass, Johanna Taylor, Lu Han, Stephanie L Prady, David Shiers, Rowena Jacobs, Richard Ian Gregory Holt, John Radford, Simon Gilbody, Catherine Hewitt, Tim Doran, Sarah L Alderson, Najma Siddiqi. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 06.09.2019.

Figures

Figure 1
Figure 1
Study Flow Diagram.

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