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Evaluating the implementation of HeLP-Diabetes within NHS services: study protocol.

Jamie Ross1, Fiona Stevenson, Charlotte Dack

  • 11e-Health Unit, UCL Research Department of Primary Care & Population Health, Upper 3rd Floor, Royal Free Hospital, Rowland Hill Street, London, NW3 2PF,m, UK. Jamie.Ross@ucl.ac.uk.

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Summary
This summary is machine-generated.

This study evaluates HeLP-Diabetes, an internet-based self-management program for type 2 diabetes, assessing its uptake, facilitators, and patient outcomes within the National Health Service.

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Area of Science:

  • Digital health interventions
  • Diabetes self-management education
  • Health services research

Background:

  • Type 2 diabetes self-management is crucial for health outcomes and complication prevention.
  • Structured diabetes self-management education is recommended but underutilized.
  • This study evaluates the implementation of an internet-based intervention, HeLP-Diabetes.

Purpose of the Study:

  • To determine the uptake and utilization of HeLP-Diabetes by services and patients.
  • To identify factors influencing the adoption and use of the intervention.
  • To explore the impact of HeLP-Diabetes on patient self-reported outcomes.

Main Methods:

  • Iterative design for implementation within the National Health Service.
  • Two-stage rollout to General Practice surgeries and diabetes clinics.
  • Data collection via sign-up numbers, implementation costs, semi-structured interviews, and patient self-report measures at baseline, 3, and 12 months.

Main Results:

  • Data will describe intervention uptake, user demographics, and implementation costs.
  • Qualitative data will identify facilitators and barriers to adoption.
  • Quantitative data will explore changes in patient-reported outcomes.

Conclusions:

  • The study will provide insights into the implementation of an online diabetes self-management tool.
  • Findings will inform resource allocation for widespread adoption in routine practice.
  • Key factors promoting or inhibiting the integration of HeLP-Diabetes will be identified.