ArticleBMJ open2022
Evaluating the impact of a digital leadership programme on national digital priorities: a mixed methods study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- The Mediating Effect of Innovation Self-Efficacy and Organizational Innovation Atmosphere on Digital Leadership and Green Creativity of Clinical Nurses: A Cross-Sectional Study.Journal of nursing management · 2026Article
- Implementation of a digital coordination centre in a hospital: a qualitative evaluation of enablers, barriers and strategies.BMC health services research · 2025Article
- Sustainable healthcare futures: how digital leadership stimulates nurses' green creativity: a quasi-experimental study.BMC nursing · 2025Article
- Evaluating the Impact of the National Health Service Digital Academy on Participants' Perceptions of Their Identity as Leaders of Digital Health Change: Mixed Methods Study.JMIR medical education · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to determine the impact of the United Kingdom's National Health Service Digital Academy (NHSDA) Digital Health Leadership course on high-level recommendations in digital preparedness and the development of a proficient leadership to oversee digital transformation, which has been a longstanding priority within the NHS.
designA mixed methods study incorporating an online questionnaire, in-depth interviews and focus groups that were then analysed through a thematic analysis, underpinned by a constructivist approach. SETTINGS: An online mixed methods study of a defined cohort of participants who had completed the NHSDA course.
participants26 participants were recruited to the study, of whom 50% were clinicians, 26.9% in management and 19.2% in data science. All had completed the 2-year NHSDA programme in Digital Health Leadership more than 6 months prior.
resultsInterviews and focus groups elicited two key areas of impact of the course: loco-regional digitisation and the development of a network of change agents. The dissertation project had direct effects on local digital transformation efforts. Most of these projects focused on clinician (11.7%) or service user (10.3%) engagement, as oppose to de novo digital processes (9.4%). The development of a network of digital leaders has facilitated communication between organisations and improved the efficiency of the national digital infrastructure.
conclusionsA bespoke course incorporating a dissertation of practice model for digital health leaders can have broader impact for the attainment of digital priorities. This includes helping trusts to successfully adopt digital solutions, as well as fostering shared organisational learning. These influences, however, are mediated by resource and cultural barriers, which continue to hinder transformation efforts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.