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Guidance on choosing evaluation study types and methods.
How to use a quasi-experimental study to evaluate your digital health product.
The UK government's design principles and examples of how they've been used.
Asking questions users understand so they can give you the information you need.
How to test your service for different browsers and devices: user needs, verified browsers, adapting to change.
The effect of the whole family-based approach to working with young carers and their families who have multiple and complex needs.
What data is and how to use it, in its various forms, to inform the design and running of a service.
This document is designed to assist those involved in the review, planning and re-design of their adult acute mental health services and to inform any related capital developments being proposed.
The characteristics of a good service, including making things as clear and straightforward as possible for users.
Provides advice on the key points to take into account on design.
Register a design - what designs are protected, search the registers, prepare your illustrations, how to apply, disclaimers and limitations.
How to use a case-control study to evaluate your digital health product.
How to use an economic evaluation to evaluate your digital health product.
A systematic approach to designing impact evaluations for transport interventions.
How to use a randomised controlled trial to evaluate your digital health product.
How to use a combination of quantitative and qualitative data to evaluate your digital health product.
This guidance outlines how to create and implement a cloud strategy, and when to consider a single, hybrid or multi-cloud solution.
We're seeking evidence to inform how we might develop a more transparent framework for communicating the carbon content of energy products to consumers.
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