Deintensification of potentially inappropriate medications amongst older frail people with type 2 diabetes: Protocol for a cluster randomised controlled trial (D-MED study)
posted on 2024-05-02, 09:26authored byLauren O’Mahoney, Patrick Highton, Ruksar Abdala, Helen Dallosso, Clare L Gillies, Seema Ragha, Fiona Munday, John Robinson, Andrew Marshall, James P Sheppard, Kamlesh Khunti, Samuel SeiduSamuel Seidu
Aims
Amongst elderly people with type 2 diabetes (T2D) over prescribing can result in emergency ambulance call-outs, falls and fractures and increased mortality, particularly in frail patients. Current clinical guidelines, however, remain focused on medication intensification rather than deintensification where appropriate. This study aims to evaluate the effectiveness of an electronic decision-support system and training for the deintensification of potentially inappropriate medications amongst older frail people with T2D, when compared to 'usual' care at 12-months.
Methods
This study is an open-label, multi-site, two-armed pragmatic cluster-randomised trial. GP practices randomised to the 'enhanced care' group have an electronic decision support system installed and receive training on the tool and de-intensification of diabetes medications. The system flags eligible patients for possible deintensification of diabetes medications, linking the health care professional to a clinical algorithm. The primary outcome will be the number of patients at 12-months who have had potentially inappropriate diabetes medications de-intensified.
Results
Study recruitment commenced in June 2022. Data collection commenced in January 2023. Baseline data have been extracted from 40 practices (3145 patients).
Conclusions
Digital technology, involving computer decision systems, may have the potential to reduce inappropriate medications and aid the process of de-intensification.
Trial registration
International Standard Randomised Controlled Trial Number: ISRCTN53221378. Available at: https://www.isrctn.com/ISRCTN53221378.
History
Author affiliation
College of Life Sciences/Population Health Sciences
The data sets generated and analysed during this study will be available from the corresponding author on reasonable request with appropriate institutional review board approval and data use agreement.