Girling, C. orcid.org/0000-0003-4216-214X, Ryan, G., Bradburn, M. et al. (19 more authors) (2026) Delivering effective non-invasive ventilation in amyotrophic lateral sclerosis using intensive remote support (DENIM): protocol for an embedded process evaluation in a hybrid type 3 implementation-effectiveness trial. Implementation Science Communications. ISSN: 2662-2211
Abstract
Background
Non-invasive ventilation (NIV) is the only intervention that significantly improves survival and quality of life in motor neuron disease, extending life by 8–13 months. However, at least half of patients are unable to reach the recommended ≥ 4 h daily NIV use, and current NHS services provide insufficient follow-up for intensive optimisation. Delivering Effective Non-Invasive ventilation in Motor neuron disease using intensive remote support (DENIM) is a stepped-wedge cluster randomised trial. This protocol describes a process evaluation embedded within DENIM aiming to understand how and why the implementation strategy works (or does not work) across different contexts.
Method
The process evaluation employs a convergent mixed-methods multiple-case study design across twelve NHS ventilation services. We developed a programme theory informed by Normalization Process Theory (NPT), the Consolidated Framework for Implementation Research and Expert Recommendations for Implementing Change, which states how the DENIM implementation strategy is expected to achieve normalisation of evidence-based NIV practice. Data collection across twelve sites include: ethnographic observations of patient-staff interactions; semi-structured interviews with staff (n = 24–48) and patients/carers (n = 24) exploring implementation experiences; the NoMAD questionnaire measuring normalisation perceptions from healthcare professionals within the services and NIV adherence data from participants’ ventilators. Barriers and facilitators to research participation for underserved populations including ethnic minorities, those with low digital literacy, and women over 80 with bulbar onset disease will also be identified. Qualitative data will be analysed using NPT-informed thematic analysis. Integration occurs at three levels (design, methods, interpretation) with joint display tables presenting quantitative and qualitative findings alongside meta-inferences.
Discussion
This process evaluation will generate explanatory insights into how implementation strategies can address the evidence-to-practice gap in complex, technology-supported care for progressive diseases, with implications for health equity and wider NHS digital transformation.
Trial registration: ISRCTN10105285. 16/04/2025.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2026. Open Access: This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| Keywords: | Implementation; Motor neuron disease; Non-invasive ventilation; Normalisation process theory; Process evaluation; Telehealth |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
| Funding Information: | Funder Grant number DEPARTMENT OF HEALTH AND SOCIAL CARE NIHR301648 National Institute for Health and Care Research NIHR203321 DEPARTMENT OF HEALTH AND SOCIAL CARE NIHR158715 |
| Date Deposited: | 10 Jul 2026 13:48 |
| Last Modified: | 10 Jul 2026 13:48 |
| Status: | Published online |
| Publisher: | Springer Science and Business Media LLC |
| Refereed: | Yes |
| Identification Number: | 10.1186/s43058-026-01023-9 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:243013 |
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