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Evaluation of the Development, Implementation, Maintenance, and Impact of 3 Digital Surveillance Tools Deployed in Malawi During the COVID-19 Pandemic: Protocol for a Modified Delphi Expert Consensus Study

Evaluation of the Development, Implementation, Maintenance, and Impact of 3 Digital Surveillance Tools Deployed in Malawi During the COVID-19 Pandemic: Protocol for a Modified Delphi Expert Consensus Study

The Delphi technique was chosen as the most appropriate study methodology to establish explicit consensus-based criteria where there is inadequate quantity or quality of existing evidence to develop evidence-based criteria [17]. Furthermore, the Delphi method is an iterative process technique that brings together the insights of various experts to establish a consensus and is used to generate future predictions, devise policy alternatives and find solutions.

Alanna Denny, Isaach Ndemera, Kingston Chirwa, Joseph Tsung Shu Wu, Griphin Baxter Chirambo, Simeon Yosefe, Ben Chilima, Matthew Kagoli, Hsin-yi Lee, Kwong Leung Joseph Yu, John O'Donoghue

JMIR Res Protoc 2024;13:e58389

Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations

Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations

A survey and a consensus exercise were chosen for this project to address the diverse methodological challenges in m Health RCTs. Consensus methods allow for the integration of expert perspectives to produce recommendations. This approach is essential given the lack of consistent solutions to these challenges. The goal of the consensus exercise was to develop recommendations for researchers working in m Health.

Jesus Lopez-Alcalde, L Susan Wieland, Yuqian Yan, Jürgen Barth, Mohammad Reza Khami, Siddharudha Shivalli, Cynthia Lokker, Harleen Kaur Rai, Paul Macharia, Sergi Yun, Elvira Lang, Agnes Bwanika Naggirinya, Concepción Campos-Asensio, Leila Ahmadian, Claudia M Witt

J Med Internet Res 2024;26:e53187

Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline

Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline

Throughout the consensus meetings, all items from the second Delphi round were subject to discussion and anonymous voting, facilitated by the Mentimeter platform [35]. The voting process was overseen by a chairman and observed by a designated observer. For an item to be ultimately included in the definitive guideline, a predefined threshold of 80% agreement among Consensus Group members was necessary, excluding abstentions and blank votes.

Johan H Vlake, Denzel LQ Drop, Jasper Van Bommel, Giuseppe Riva, Brenda K Wiederhold, Pietro Cipresso, Albert S Rizzo, Barbara O Rothbaum, Cristina Botella, Lotty Hooft, Oscar J Bienvenu, Christian Jung, Bart Geerts, Evert-Jan Wils, Diederik Gommers, Michel E van Genderen, RATE-XR Expert Group

J Med Internet Res 2024;26:e56790

Defining and Risk-Stratifying Immunosuppression (the DESTINIES Study): Protocol for an Electronic Delphi Study

Defining and Risk-Stratifying Immunosuppression (the DESTINIES Study): Protocol for an Electronic Delphi Study

Consensus will be determined by whether over ≥75% of panelists agree on definition contents and risk relationships. A range of consensus statements will also be presented and evaluated by this same ≥75% consensus target. These statements will assess panelist agreement on the heterogeneity of patients who are immunosuppressed and their COVID-19 infection outcomes as well as the accuracy of the draft phenotypes (multilevel and high- vs low-risk categorized) that will be presented between e Delphi rounds.

Meredith Leston, José Ordóñez-Mena, Mark Joy, Simon de Lusignan, Richard Hobbs, Iain McInnes, Lennard Lee

JMIR Res Protoc 2024;13:e56271

Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions

Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions

We used the consensus development panel (or consensus development conference [CDC]) approach [26,27] and followed the methodology described and used by the US National Institutes of Health [28] and the World Health Organization [26,29]. The CDCs were developed by the National Institutes of Health [26] and we chose this as it is a particularly effective consensus method for identifying broad areas of challenge and potential solutions.

Katharine A Smith, Amy Hardy, Anastasia Vinnikova, Charlotte Blease, Lea Milligan, Diego Hidalgo-Mazzei, Sinéad Lambe, Lisa Marzano, Peter J Uhlhaas, Edoardo G Ostinelli, Gerard Anmella, Caroline Zangani, Rosario Aronica, Bridget Dwyer, John Torous, Andrea Cipriani

JMIR Ment Health 2024;11:e57155

Triangulating Truth and Reaching Consensus on Population Size, Prevalence, and More: Modeling Study

Triangulating Truth and Reaching Consensus on Population Size, Prevalence, and More: Modeling Study

A forest plot of the prior, estimates, and consensus results (for both confidence scaled and unscaled) is also shown in Figure 2, with both the reported CIs for the estimates (solid) as well as the scaled CIs (dotted). The Synthesis tab of the Shiny app, which includes the consensus estimate and a forest plot of the prior, the estimates, and the consensus estimate as well as the unaccounted-for variation.

Ian E Fellows, Carl Corcoran, Anne F McIntyre

JMIR Public Health Surveill 2024;10:e48738

Prevailing Outcome Themes Reported by People With Degenerative Cervical Myelopathy: Focus Group Study

Prevailing Outcome Themes Reported by People With Degenerative Cervical Myelopathy: Focus Group Study

COS development starts with the development of a long list of outcomes that is put through a consensus process to decide which outcomes are most important and should be included in the COS [8]. An important aspect of forming COS is to ensure representation among all stakeholder groups, including those living with the condition. This latter aspect is argued to be essential to supporting meaningful research [9].

Danyal Zaman Marshall Khan, Siobhan Mairead Fitzpatrick, Bryn Hilton, Angus GK McNair, Ellen Sarewitz, Benjamin Marshall Davies, Mark RN Kotter, AO Spine Knowledge Forum Spinal Cord Injury

JMIR Form Res 2021;5(2):e18732

A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

We acknowledge that further rounds of discussion may help with consensus, but time constraints render this infeasible. Ethical approval was sought from the Queen Mary University of London, and approval was granted by the Queen Mary Ethics of Research Committee (reference: QMREC2018/48027). Clinicians will be recruited via clinical networks, word of mouth, and social media. There is no definitive number of participants recommended for this style of study.

Adele Hill, Christopher H Joyner, Chloe Keith-Jopp, Barbaros Yet, Ceren Tuncer Sakar, William Marsh, Dylan Morrissey

JMIR Res Protoc 2021;10(1):e21804