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The utility of a computerised clinical decision support system intervention in home medicines review: A mixed-methods
Mouna Sawan1, Lisa Kouladjian O'Donnell2, Emily Reeve3
1NHMRC Cognitive Decline Partnership Centre, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; School of Pharmacy School, Faculty of Medicine and Health, Sydney University, New South Wales, Australia; Clinical Pharmacology and Aged Care, Kolling Institute of Medical Research, Royal North Shore Hospital, New South Wales, Australia.
Background:
Use of high-risk medications is common and associated with adverse effects in older adults, including those living with dementia. A Computerised Clinical Decision Support System (CCDSS) called G-MEDSS© (Goal-directed Medication Review Electronic Decision Support System) contains tools that identify medications with anticholinergic and sedative effects and align older adult's health and medication goals of care with medication management strategies.
Objectives:
To describe the utility of a CCDSS called G-MEDSS in Home Medicines Review (HMR) by an accredited clinical pharmacist (ACP) using a mixed-methods process evaluation method.
Methods:
A mixed-methods process evaluation was conducted as part of a nation-wide cluster-randomised clinical trial evaluating the effectiveness of implementing G-MEDSS in HMR. Data were collected from ACPs and HMR recipients (the patient) using a feedback survey (ACPs and HMR recipients) and one-on-one telephone interviews (HMR recipients). Quantitative and qualitative data were combined at the start of analysis. Content analysis of the qualitative data was conducted, and emerging categories were linked to quantitative data.
Results:
Feedback surveys were completed by eight ACPs and 26 HMR recipients; 11 HMR recipients completed one-on-one telephone interviews. Overall, ACPs and HMR recipients who received the intervention reported a positive attitude towards the utility of G-MEDSS in HMR. ACPs reported that G-MEDSS enhanced their ability to make evidence-based recommendations about anticholinergic and sedative medications, and to better align HMR recommendations with HMR recipients' goals of care. However, ACPs described that it was difficult to obtain goals of care from HMR recipients. HMR recipients gave mixed reports about the ACPs consultations: some HMR recipients reported that they were engaged in discussions about their views on medications, whilst other participants reported that discussions about their concerns towards medications and goals was limited.
Conclusions:
This study suggests that a CCDSS, such as G-MEDSS, demonstrates good utility to assist ACPs to identify and assess anticholinergic and sedative medications. Given the mixed feedback from the ACPs on the different components of the G-MEDSS, further refinement of these tools and their use in combination in practice may be needed.
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