Digital Harm Reduction Quality Standards - Delphi Round 1 |
General Information
This Delphi study is part of the BOOST project, which aims to support and strengthen community-based and community-led organizations in providing communicable diseases.
The aim of the study to collect expert feedback on a set of quality standard statements designed to guide the development of digital harm reduction services. These statements have been carefully developed through an in-depth literature review on quality standards for digital harm reduction.
Digital harm reduction services should be understood as online services such as e-health, mobile health, telehealth, and the use of any digital technology, that facilitates harm reduction.
Digital harm reduction services should be understood as online services such as e-health, mobile health, telehealth, and the use of any digital technology, that facilitates harm reduction.
There are 14 thematic topics in total. Each theme appears on a separate page.
Who should participate?
This Delphi study is designed for experts in:
- Digital harm reduction services,
- Harm reduction services, and
- Digital services.
How to participate in the study:
For each statement, you are required to respond by choosing one of the following:
- Agree: You are satisfied with the statement as it is.
- Partially Agree: You see room for improvement and will be offered an opportunity to rephrase the statement.
- Disagree: You believe the statement should be removed.
At the end of each category, you may also suggest new statements to cover any themes not currently addressed.
Time Commitment
Completing the survey may take 30–90 minutes, depending on:
- Your pace,
- The number of statements you choose to rephrase.
You can complete the survey in multiple sessions. As long as you log on from the same device, your answers will be saved.
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Thank you for your time and collaboration in shaping the future of digital harm reduction services! In case of any questions or further information, please, feel free to contact joldfield@correlation-net.org.