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Randomized Controlled Trial
. 2019 Jun 6;14(1):55.
doi: 10.1186/s13012-019-0904-4.

Improving care for elderly patients living with polypharmacy: protocol for a pragmatic cluster randomized trial in community-based primary care practices in Canada

Affiliations
Randomized Controlled Trial

Improving care for elderly patients living with polypharmacy: protocol for a pragmatic cluster randomized trial in community-based primary care practices in Canada

M Greiver et al. Implement Sci. .

Abstract

Background: Elders living with polypharmacy may be taking medications that do not benefit them. Polypharmacy can be associated with elevated risks of poor health, reduced quality of life, high care costs, and persistently complex care needs. While many medications could be problematic, this project targets medications that should be deprescribed for most elders and for which guidelines and evidence-based deprescribing tools are available. These are termed potentially inappropriate prescriptions (PIPs) and are as follows: proton pump inhibitors, benzodiazepines, antipsychotics, and sulfonylureas. Implementation strategies for deprescribing PIPs in complex older patient populations are needed.

Methods: This will be a pragmatic cluster randomized controlled trial in community-based primary care practices across Canada. Eligible practices provide comprehensive primary care and have at least one physician that consents to participate. Community-dwelling patients aged 65 years and older with ten or more unique medication prescriptions in the past year will be included. The objective is to assess whether the intervention reduces targeted PIPs for these patients compared with usual care. The intervention, Structured Process Informed by Data, Evidence and Research (SPIDER), is a collaboration between quality improvement (QI) and research programs. Primary care teams will form interprofessional Learning Collaboratives and work with QI coaches to review electronic medical record data provided by their regional Practice Based Research Networks (PBRNs), identify areas of improvement, and develop and implement changes. The study will be tested for feasibility in three PBRNs (Toronto, Montreal, and Edmonton) using prospective single-arm mixed methods. Findings will then guide a pragmatic cluster randomized controlled trial in five PBRNs (Calgary, Winnipeg, Ottawa, Montreal, and Halifax). Seven practices per PBRN will be recruited for each arm. The analysis will be by intention to treat. Ten percent of patients who have at least one PIP at baseline will be randomly selected to participate in the assessment of patient experience and self-reported outcomes. Qualitative methods will be used to explore patient and physician experience and evaluate SPIDER's processes.

Conclusion: We are testing SPIDER in a primary care population with complex care needs. This could provide a widely applicable model for care improvement.

Trial registration: Clinicaltrials.gov NCT03689049 ; registered September 28, 2018.

Keywords: Aged; Clinical trials, randomized; Electronic health records; Inappropriate prescribing; Polypharmacy; Primary health care; Quality improvement; Social facilitation.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Plan-Do-Study-Act cycle supported by SPIDER. OPEN Ottawa Practice Enhancement Network, one of the seven Practice Based Research Networks participating in SPIDER. QI quality improvement, EMR electronic medical record
Fig. 2
Fig. 2
Schedule of enrolment, intervention, and outcome measurements for RCT

References

    1. Udow-Phillips M, Ehrlich E, Kofke-Egger H. Health care cost drivers: chronic disease, comorbidity, and health risk factors in the U.S. and Michigan | Center for Healthcare Research & Transformation. Ann Arbor: Center for Healthcare Research and Transformation; 2010.
    1. Moturu S, Johnson W, Liu H. Predictive risk modelling for forecasting high-cost patients: a real-world application using Medicaid data. Int J Biomed Eng Technol. 2010;3(1–2):114–132. doi: 10.1504/IJBET.2010.029654. - DOI
    1. Berk ML, Monheit AC, Hagan MM. How the U.S. spent its health care dollar: 1929-1980. Health Aff (Millwood). 1988;7(4):46–60. doi: 10.1377/hlthaff.7.4.46. - DOI - PubMed
    1. Berk ML, Monheit AC. The concentration of health expenditures: an update. Health Aff (Millwood). 1992;11(4):145–149. doi: 10.1377/hlthaff.11.4.145. - DOI - PubMed
    1. Berk ML, Monheit AC. The concentration of health care expenditures, revisited. Health Aff (Millwood). 2001;20(2):9–18. doi: 10.1377/hlthaff.20.2.9. - DOI - PubMed

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