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Bridging the digital divide for people with aphasia: a study protocol for codesigning web accessibility tools and guidelines

Por: Lee · J. · Worthy · P. · Deslandes · R. · Burton · B. · Copland · D. A. · Jamieson · P. · Barron · K. · Togher · L. · Shrubsole · K. · Shiggins · C. · Campbell · J. · Hill · A. · Wiles · J. · Haslam · S. A. · Wallace · S. J.
Introduction

Aphasia is a language impairment that affects one-third of people who experience a stroke. Aphasia can impact all facets of language: speaking, understanding, reading and writing. Around 60% of people with aphasia have persistent language impairments 1 year after their stroke, requiring ongoing healthcare and support. In recent years, the internet has become a key resource for the self-management of chronic health conditions. Navigating web content, however, requires language use, and as such, people living with aphasia are more likely to be excluded from digital health and support services. Web Content Accessibility Guidelines exist; however, they do not fully address the unique and diverse needs of people with aphasia, and a significant proportion of websites (over 90%) do not fully adhere to them. This protocol paper describes the first two stages of the Bridging the Digital Divide project, which aims to codesign and develop (a) a web-browser extension to re-render webpages to an ‘aphasia-friendly’ (accessible) format, (b) training tools to help users and health professionals customise the web-browser extension and (c) guidelines for developing communication-accessible websites.

Methods and analysis

The research will be conducted using experience-based codesign. In Stage 1a, focus groups will be held with (1) people with aphasia, (2) family members or significant others and (3) health professionals working with people with aphasia. Participants will be asked to share their experiences of accessing (or supporting a person with aphasia to access) healthcare, information and support services on the web. The nominal group technique (NGT) will be used to identify priorities for improving web accessibility for people with aphasia. Focus group data will be analysed using reflexive thematic analysis, and prioritisation data will be analysed using inductive qualitative content analysis. In Stage 1b, eight codesign workshops will be held with representatives of the three key stakeholder groups to iteratively codesign and develop a web-browser extension, training tools and guidelines to support web accessibility.

Ethics and dissemination

Ethical clearance for Stage 1a and Stage 1b of this project has been approved by the University of Queensland Human Research Ethics Committee (Stage 1a approval number: 2023/HE000528, Stage 1b approval number: 2024/HE000721). The outcomes of this research will be disseminated in peer-reviewed journals and presented at national and international conferences. A dissemination and celebration event will be held at the completion of the project.

Modelling diabetes and depression in Pakistan: using economic modelling to inform intervention design and a clinical trial of a behavioural activation intervention

Por: Glynn · D. · Saramago · P. · Ahmed · N. · Afaq · S. · Aslam · F. · Basit · A. · Ekers · D. · Fawwad · A. · Gibbs · N. · Fottrell · E. · Holt · R. I. G. · Jacobs · R. · Niazi · A. K. · Ul-Haq · Z. · Zavala · G. A. · Siddiqi · N. · Walker · S.
Objectives

The ‘Developing and evaluating an adapted behavioural activation intervention for depression and diabetes in South Asia (DiaDeM)’ trial investigates a psychological intervention, behavioural activation (BA), on people with both diabetes and depression in Bangladesh and Pakistan. This study aimed to aid the intervention and trial design.

Design

This was a modelling study using microsimulation to assess the intervention’s cost-effectiveness. Diabetes was modelled using the UK Prospective Diabetes Study model based on Pakistani patients and depression was modelled using Patient Health Questionnaire-9 (PHQ-9) trajectories allowing for multiple depressive episodes. It was assumed that diabetes-related adverse events increased depression recurrence, while depression impacted haemoglobin A1c, increasing diabetes-related events. The model estimated (1) maximum cost of BA which would be cost-effective (headroom analysis) to inform intervention design, and (2) value of reducing uncertainty around different measures (value of information analysis) to prioritise data collection in the DiaDeM study.

Setting

Analysis was conducted from a Pakistani healthcare perspective over a lifetime with costs and outcomes discounted at 3%.

Interventions

BA plus usual care was compared against usual care. BA involved six sessions by a trained (non-mental health) facilitator. The usual care comparator was the prevailing mix of pharmacological and non-pharmacological treatments used in Pakistan.

Primary and secondary outcome measures

The primary outcome was disability-adjusted life-years (DALYs). Secondary outcomes included life years, healthcare costs and the rate of depression and diabetes-related events.

Results

Over their lifetime, individuals receiving BA plus usual care avoid 3.2 (95% credible interval: 2.7 to 3.8) years of mild depression and experience fewer diabetes-related events. BA plus usual care resulted in an additional 0.27 (0.03 to 0.52) life years, 0.98 (0.45 to 1.86) DALYs averted and had incremental healthcare costs of –US$97 (–US$517 to US$142), excluding BA costs. The maximum cost per BA course at which was cost-effective is US$83 (US$9 to US$214). Value of information analysis found the most important measures to include in the trial are the impact of depression on diabetes and PHQ-9 over time.

Conclusions

This is the first model to jointly model depression and diabetes for South Asia and uses novel methods to reflect the diseases and inform intervention and trial design. This evidence has helped to inform the design of the DiaDeM intervention and the trial to evaluate it.

Trial registration

DiaDeM trial: ISRCTN40885204, DOI: ; pre-results, DOI: https://doi.org/10.1186/ISRCTN40885204, DiaDeM-NIHR200806

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