Intervention protocol: OPtimising thERapy to prevent avoidable hospital Admission in the Multi-morbid elderly (OPERAM): a structured medication review with support of a computerised decision support system

Erin K Crowley, Bastiaan T G M Sallevelt, Corlina J A Huibers, Kevin D Murphy, Marco Spruit, Zhengru Shen, Benoît Boland, Anne Spinewine, Olivia Dalleur, Elisavet Moutzouri, Axel Löwe, Martin Feller, Nathalie Schwab, Luise Adam, Ingeborg Wilting, Wilma Knol, Nicolas Rodondi, Stephen Byrne, Denis O'Mahony, Erin K Crowley, Bastiaan T G M Sallevelt, Corlina J A Huibers, Kevin D Murphy, Marco Spruit, Zhengru Shen, Benoît Boland, Anne Spinewine, Olivia Dalleur, Elisavet Moutzouri, Axel Löwe, Martin Feller, Nathalie Schwab, Luise Adam, Ingeborg Wilting, Wilma Knol, Nicolas Rodondi, Stephen Byrne, Denis O'Mahony

Abstract

Background: Several approaches to medication optimisation by identifying drug-related problems in older people have been described. Although some interventions have shown reductions in drug-related problems (DRPs), evidence supporting the effectiveness of medication reviews on clinical and economic outcomes is lacking. Application of the STOPP/START (version 2) explicit screening tool for inappropriate prescribing has decreased inappropriate prescribing and significantly reduced adverse drug reactions (ADRs) and associated healthcare costs in older patients with multi-morbidity and polypharmacy. Therefore, application of STOPP/START criteria during a medication review is likely to be beneficial. Incorporation of explicit screening tools into clinical decision support systems (CDSS) has gained traction as a means to improve both quality and efficiency in the rather time-consuming medication review process. Although CDSS can generate more potential inappropriate medication recommendations, some of these have been shown to be less clinically relevant, resulting in alert fatigue. Moreover, explicit tools such as STOPP/START do not cover all relevant DRPs on an individual patient level. The OPERAM study aims to assess the impact of a structured drug review on the quality of pharmacotherapy in older people with multi-morbidity and polypharmacy. The aim of this paper is to describe the structured, multi-component intervention of the OPERAM trial and compare it with the approach in the comparator arm.

Method: This paper describes a multi-component intervention, integrating interventions that have demonstrated effectiveness in defining DRPs. The intervention involves a structured history-taking of medication (SHiM), a medication review according to the systemic tool to reduce inappropriate prescribing (STRIP) method, assisted by a clinical decision support system (STRIP Assistant, STRIPA) with integrated STOPP/START criteria (version 2), followed by shared decision-making with both patient and attending physician. The developed method integrates patient input, patient data, involvement from other healthcare professionals and CDSS-assistance into one structured intervention.

Discussion: The clinical and economical effectiveness of this experimental intervention will be evaluated in a cohort of hospitalised, older patients with multi-morbidity and polypharmacy in the multicentre, randomized controlled OPERAM trial (OPtimising thERapy to prevent Avoidable hospital admissions in the Multi-morbid elderly), which will be completed in the last quarter of 2019.

Trial registration: Universal Trial Number: U1111-1181-9400 Clinicaltrials.gov: NCT02986425, Registered 08 December 2016. FOPH (Swiss national portal): SNCTP000002183. Netherlands Trial Register: NTR6012 (07-10-2016).

Keywords: Cluster randomised controlled trial; Geriatric patient; Inappropriate prescribing; STOPP/START.

Conflict of interest statement

The author(s) declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of STRIP and STRIPA intervention process. Abbreviations: STRIPA = Systematic Tool to Reduce Inappropriate Prescribing Assistant; SDM = shared decision making; IP = internal physician; ICD-10 = International Statistical Classification of Disease and related Health Problems, 10th revision; ATC = Anatomical Therapeutic Chemical; LOINC = Logical Observation Identifiers Names and Codes; SHiM = structured history-taking of medication; GP = general practitioner
Fig. 2
Fig. 2
Screenshot of STRIPA process during which medications are assigned to relevant medical conditions
Fig. 3
Fig. 3
A screenshot of triggered START criteria
Fig. 4
Fig. 4
The internal physician report: (a) final screen in the STRIPA process, and (b) completed report

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