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Effect of Synapse Medicine Decision Support on Inpatient Pharmacist Efficacy and Efficiency

Mass General Brigham logo

Mass General Brigham

Status

Not yet enrolling

Conditions

Gastrointestinal Diseases
Kidney Diseases
Lung Diseases
Infections
Heart Diseases
Liver Diseases

Treatments

Other: Synapse medicine platform

Study type

Interventional

Funder types

Other

Identifiers

NCT05459155
2022P000659

Details and patient eligibility

About

Adverse drug events (ADE) are common and dangerous in the hospital and following discharge to the ambulatory setting. One cause of ADEs in both settings is medication regimen inappropriateness, including polypharmacy, drug-drug interactions, and medications that are inappropriate or inappropriately dosed given patients' age, renal, and hepatic function. Hospitalization provides a good opportunity to investigate medication appropriateness given new or worsening conditions and available expertise. Inpatient pharmacists are medication experts and often round with medical teams, but they may not always have all the information available at their fingertips to make optimal recommendations regarding medication appropriateness for each patient. Clinical decision support to pharmacists at the point of care has potential to improve the speed, quantity, and quality of medication recommendations to inpatient teams; any subsequent improvements to medication regimen appropriateness have the potential to reduce ADEs in the hospital and after discharge.

Specific Aims and Objectives

Aim 1: Implement real-time decision support regarding medication regimen appropriateness among pharmacists who round with inpatient medical teams.

Aim 2: Determine the effects of this intervention on the number of medication regimen recommendations and time spent per recommendation

Aim 3: Evaluate the use and usability of the decision support tool and develop strategies to mitigate barriers and promote facilitators of implementation using mixed methods implementation science approaches.

Full description

This will be a prospective pre-post mixed methods hybrid type 2 effectiveness-implementation study. The study will take place at BWH and at Vanderbilt University Medical Center (VUMC). The direct subjects will be the inpatient pharmacists (4 at each site) who round with general medicine teams. Patients will be indirect subjects as pharmacists provide medication recommendations regarding these patients to the clinicians on each team with or without the Synapse software. We estimate this number of patients to be 3 new admitted patients per day per team x 56 days x 8 teams = 1344 patients (672 at MGB sites). Patients can be any patients admitted to these general medicine service teams at BWH and VUMC. The pharmacists are trained hospital pharmacists who round with general medicine service teams and approve inpatient medication orders. There are no local site restrictions. VUMC will cede IRB approval to the MGB IRB.

Enrollment

672 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • any patient that the inpatient pharmacists care for on the inpatient medical team they round with

Exclusion criteria

  • N/A

Trial design

Primary purpose

Health Services Research

Allocation

Non-Randomized

Interventional model

Crossover Assignment

Masking

None (Open label)

672 participants in 2 patient groups

Pharmacist team post-intervention
Experimental group
Description:
The direct subjects will be the inpatient pharmacists who round with general medicine teams and approve inpatient medication orders. They will be given full access to the Synapse Medicine medication decision support platform.
Treatment:
Other: Synapse medicine platform
Pharmacist team pre-intervention
No Intervention group
Description:
Pre-intervention, the inpatient pharmacists will round with general medicine teams and approve inpatient medication orders under conditions of usual care. They will base their recommendations on their knowledge and training and any tools (electronic or otherwise) that they choose to use.

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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