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The Research Agenda for Perinatal Innovation and Digital Health Project: Human-Centered Approach to Multipartner Research Agenda Codevelopment

The Research Agenda for Perinatal Innovation and Digital Health Project: Human-Centered Approach to Multipartner Research Agenda Codevelopment

This HCD approach prioritized patient voices in developing research priorities; yet, our multipartner codevelopment approach recognizes that the ownness should not be on patients alone to identify a solution to the complex issues of perinatal health care delivery.

Haneen Amhaz, Sally Xuanping Chen, Amanee Elchehimi, Kylin Jialin Han, Jade Morales Gil, Lu Yao, Marianne Vidler, Kathryn Berry-Einarson, Kathryn Dewar, May Tuason, Nicole Prestley, Quynh Doan, Tibor van Rooij, Tina Costa, Gina Ogilvie, Beth A Payne

JMIR Hum Factors 2025;12:e60825

Mobile Phone Text Messages to Support People to Stop Smoking by Switching to Vaping: Codevelopment, Coproduction, and Initial Testing Study

Mobile Phone Text Messages to Support People to Stop Smoking by Switching to Vaping: Codevelopment, Coproduction, and Initial Testing Study

The codevelopment resulted in an SMS text message program that was focused on supporting people in quitting smoking using an e-cigarette over a 12-week period. Multimedia Appendix 1 shows the 95 SMS text messages mapped according to COM-B constructs. In total, 3 behaviors are targeted by the SMS text messages. Practical advice on how to use the vape was the most common behavioral target, followed by smoking cessation and purchasing vape equipment.

Vassilis Sideropoulos, Eleni Vangeli, Felix Naughton, Sharon Cox, Daniel Frings, Caitlin Notley, Jamie Brown, Catherine Kimber, Lynne Dawkins

JMIR Form Res 2023;7:e49668

Examining Patient Engagement in Chatbot Development Approaches for Healthy Lifestyle and Mental Wellness Interventions: Scoping Review

Examining Patient Engagement in Chatbot Development Approaches for Healthy Lifestyle and Mental Wellness Interventions: Scoping Review

Given the importance of end user involvement in the development of digital technology, we hope that future research on chatbot development will take the opportunity to carry out a more systematic reporting of the chatbot development and implementation process and will actively engage patients as key members of the codevelopment process.

Chikku Sadasivan, Christofer Cruz, Naomi Dolgoy, Ashley Hyde, Sandra Campbell, Margaret McNeely, Eleni Stroulia, Puneeta Tandon

J Particip Med 2023;15:e45772

Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study

Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study

This study showed how accurate ML models can be developed alongside carers of people with dementia, highlighting the effectiveness of codevelopment alongside individuals with relevant personal experience. Unfortunately, our campaign seemed unimpactful and ineffective in practice, but from this, we can see the potential in using ML models to assess campaigns.

Sinan Erturk, Georgie Hudson, Sonja M Jansli, Daniel Morris, Clarissa M Odoi, Emma Wilson, Angela Clayton-Turner, Vanessa Bray, Gill Yourston, Andrew Cornwall, Nicholas Cummins, Til Wykes, Sagar Jilka

JMIR Infodemiology 2022;2(2):e36871