Trial reportImplementation science : IS2012
The effect of a complementary e-learning course on implementation of a quality improvement project regarding care for elderly patients: a stepped wedge trial.
Trial report in Implementation science : IS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Educational strategies to train health care professionals across the education continuum on the process of frailty prevention and frailty management: a systematic review.Aging clinical and experimental research · 2018Pooled it
- E-learning for health professionals.The Cochrane database of systematic reviews · 2018Pooled it
- Stepped wedge randomised controlled trials: systematic review of studies published between 2010 and 2014.Trials · 2015Pooled it
- Web-Based STAR E-Learning Course Increases Empathy and Understanding in Dementia Caregivers: Results from a Randomized Controlled Trial in the Netherlands and the United Kingdom.Journal of medical Internet research · 2015Trial
- Can an e-learning course improve nursing care for older people at risk of delirium: a stepped wedge cluster randomised trial.BMC geriatrics · 2014Trial
- Optimal Designs in Open-Cohort Longitudinal Cluster Randomized Trials With a Continuous Outcome.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Stepped wedge cluster randomised trials: a review of the statistical methodology used and available.BMC medical research methodology · 2016Review
- How effective are patient safety initiatives? A retrospective patient record review study of changes to patient safety over time.BMJ quality & safety · 2015Article
- Logistic, ethical, and political dimensions of stepped wedge trials: critical review and case studies.Trials · 2015Review
- The effect of an e-learning course on nursing staff's knowledge of delirium: a before-and-after study.BMC medical education · 2015Article
- What impedes and what facilitates a quality improvement project for older hospitalized patients?International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014Article
- Editorial - can distance learning improve the quality of medical education?Ochsner journal · 2013Article
- Test, learn, adapt.Annals of medicine and surgery (2012) · 2013Review
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDelirium occurs frequently in elderly hospitalised patients and is associated with higher mortality, increased length of hospital stay, functional decline, and admission to long-term care. Healthcare professionals frequently do not recognise delirium, indicating that education can play an important role in improving delirium care for hospitalised elderly. Previous studies have indicated that e-learning can provide an effective way of educating healthcare professionals and improving quality of care, though results are inconsistent. METHODS AND
designThis stepped wedge cluster randomised trial will assess the effects of a complementary delirium e-learning course on the implementation of quality improvement initiative, which aims to enhance the recognition and management of delirium in elderly patients. The trial will be conducted in 18 Dutch hospitals and last 11 months. Measurements will be taken in all participating wards using monthly record reviews, in order to monitor delivered care. These measurements will include the percentage of elderly patients who were screened for the risk of developing delirium, use of the Delirium Observation Screening scale, use of nursing or medical interventions, and the percentage of elderly patients who were diagnosed with delirium. Data regarding the e-learning course will be gathered as well. These data will include user characteristics, information regarding use of the course, delirium knowledge before and after using the course, and the attitude and intentions of nurses concerning delirium care.
settingThe study will be conducted in internal medicine and surgical wards of eighteen hospitals that are at the beginning stages of implementing the Frail Elderly Project in the Netherlands. DISCUSSION: Better recognition of elderly patients at risk for delirium and subsequent care is expected from the introduction of an e-learning course for nurses that is complementary to an existing quality improvement project. This trial has the potential to demonstrate that e-learning can be a vital part of the implementation process, especially for quality improvement projects aimed at complex health issues such as delirium. The study will contribute to a growing body of knowledge concerning e-learning and the effects it can have on knowledge as well as delivered care.
trial registrationNetherlands Trial Register (NTR): NTR2885.
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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.