Effect of a Rivaroxaban Patient Assistance Kit (R-PAK) for Patients Discharged With Rivaroxaban: A Randomized Controlled Trial

Identifying and mapping measures of medication safety during transfer of care in a digital era: a scoping literature review

BACKGROUND

Measures to evaluate high-risk medication safety during transfers of care should span different safety dimensions across all components of these transfers and reflect outcomes and opportunities for proactive safety management.

OBJECTIVES

To scope measures currently used to evaluate safety interventions targeting insulin, anticoagulants and other high-risk medications during transfers of care and evaluate their comprehensiveness as a portfolio.

METHODS

Embase, Medline, Cochrane and CINAHL databases were searched using scoping methodology for studies evaluating the safety of insulin, anticoagulants and other high-risk medications during transfer of care. Measures identified were extracted into a spreadsheet, collated and mapped against three frameworks: (1) 'Key Components of an Ideal Transfer of Care', (2) work systems, processes and outcomes and (3) whether measures captured past harms, events in real time or areas of concern. The potential for digital health systems to support proactive measures was explored.

RESULTS

Thirty-five studies were reviewed with 162 measures in use. Once collated, 29 discrete categories of measures were identified. Most were outcome measures such as adverse events. Process measures included communication and issue identification and resolution. Clinic enrolment was the only work system measure. Twenty-four measures captured past harm (eg, adverse events) and six indicated future risk (eg, patient feedback for organisations). Two real-time measures alerted healthcare professionals to risks using digital systems. No measures were of advance care planning or enlisting support.

CONCLUSION

The measures identified are insufficient for a comprehensive portfolio to assess safety of key medications during transfer of care. Further measures are required to reflect all components of transfers of care and capture the work system factors contributing to outcomes in order to support proactive intervention to reduce unwanted variation and prevent adverse outcomes. Advances in digital technology and its employment within integrated care provide opportunities for the development of such measures.

Interventions to Improve Communication at Hospital Discharge and Rates of Readmission: A Systematic Review and Meta-analysis

Importance

Shortcomings in the education of patients at hospital discharge are associated with higher risks for treatment failure and hospital readmission. Whether improving communication at discharge through specific interventions has an association with patient-relevant outcomes remains unclear.

Objective

To conduct a systematic review and meta-analysis on the association of communication interventions at hospital discharge with readmission rates and other patient-relevant outcomes.

Data Sources

PubMed, EMBASE, PsycINFO, and CINAHL were systematically searched from the inception of each database to February 28, 2021.

Study Selection

Randomized clinical trials that randomized patients to receiving a discharge communication intervention or a control group were included.

Data Extraction and Synthesis

Two independent reviewers extracted data on outcomes and trial and patient characteristics. Risk of bias was assessed using the Cochrane Risk of Bias Tool. Data were pooled using a random-effects model, and risk ratios (RRs) with corresponding 95% CIs are reported. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline.

Main Outcomes and Measures

The primary outcome was hospital readmission, and secondary outcomes included adherence to treatment regimen, patient satisfaction, mortality, and emergency department reattendance 30 days after hospital discharge.

Results

We included 60 randomized clinical trials with a total of 16 070 patients for the qualitative synthesis and 19 trials with a total of 3953 patients for the quantitative synthesis of the primary outcome. Of these, 11 trials had low risk of bias, 6 trials had high risk of bias, and 2 trials had unclear risk of bias. Communication interventions at discharge were significantly associated with lower readmission rates (179 of 1959 patients [9.1%] in intervention groups vs 270 of 1994 patients [13.5%] in control groups; RR, 0.69; 95% CI, 0.56-0.84), higher adherence to treatment regimen (1729 of 2009 patients [86.1%] in intervention groups vs 1599 of 2024 patients [79.0%] in control groups; RR, 1.24; 95% CI, 1.13-1.37), and higher patient satisfaction (1187 of 1949 patients [60.9%] in intervention groups vs 991 of 2002 patients [49.5%] in control groups; RR, 1.41; 95% CI, 1.20-1.66).

Conclusions and Relevance

These findings suggest that communication interventions at discharge are significantly associated with fewer hospital readmissions, higher treatment adherence, and higher patient satisfaction and thus are important to facilitate the transition of care.