Do Combined Pharmacist and Prescriber Efforts on Medication Reconciliation Reduce Postdischarge Patient Emergency Department Visits and Hospital Readmissions?

Effect of medicines management versus standard care on readmissions in multimorbid patients: a randomised controlled trial

OBJECTIVE

To investigate the effect of pharmacist-led medicines management in multimorbid, hospitalised patients on long-term hospital readmissions and survival.

DESIGN

Parallel-group, randomised controlled trial.

SETTING

Recruitment from an internal medicine hospital ward in Oslo, Norway. Patients were enrolled consecutively from August 2014 to the predetermined target number of 400 patients. The last participant was enrolled March 2016. Follow-up until 31 December 2017, that is, 21-40 months.

PARTICIPANTS

Acutely admitted multimorbid patients ≥18 years, using minimum four regular drugs from minimum two therapeutic classes. 399 patients were randomly assigned, 1:1, to the intervention or control group. After excluding 11 patients dying in-hospital and 2 erroneously included, the primary analysis comprised 386 patients (193 in each group) with median age 79 years (range 23-96) and number of diseases 7 (range 2-17).

INTERVENTION

Intervention patients received pharmacist-led medicines management comprising medicines reconciliation at admission, repeated medicines reviews throughout the stay and medicines reconciliation and tailored information at discharge, according to the integrated medicines management model. Control patients received standard care.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary endpoint was difference in time to readmission or death within 12 months. Overall survival was a priori the clinically most important secondary endpoint.

RESULTS

Pharmacist-led medicines management had no significant effect on the primary endpoint time to readmission or death within 12 months (median 116 vs 184 days, HR 0.82, 95% CI 0.64 to 1.04, p=0.106). A statistically significantly increased overall survival was observed during 21-40 months follow-up (HR 0.66, 95% CI 0.48 to 0.90, p=0.008).

CONCLUSIONS

Pharmacist-led medicines management had no statistically significant effect on time until readmission or death. A statistically significant increased overall survival was seen. Further studies should be conducted to investigate the effect of such an intervention on a larger scale.

TRIAL REGISTRATION NUMBER

NCT02336113.

Evaluation of Bedside Delivery of Medications Before Discharge: Effect on 30-Day Readmission

BACKGROUND

This study is an evaluation of a discharge intervention that occurred in multiple hospitals across Maryland. In this program, patients received medications at their bedside before discharge with the goal of reducing the risk of primary nonadherence to prescribed medications.

OBJECTIVE

To test if the intervention reduced the risk of 30-day readmission for the patients who received bedside medication delivery relative to comparable patients who did not receive bedside medication delivery.

METHODS

This was a retrospective cohort study. Patients who received the intervention were linked to their claims data in the Maryland Health Information Exchange. These patients were matched on age, sex, diagnosis-related group, and hospital to a set of patients who did not receive the intervention. We used propensity score matching, as well as inverse-probability weighting, to account for residual differences between the treated and comparison patients. With robust Poisson regression, adjusting for hospital, we generated risk ratios for 30-day readmission and explored risk ratios in key subgroups.

RESULTS

The cohort included 6,167 inpatients who received medications at bedside and 28,546 who did not from 10 Maryland hospitals. They were 60% female, 61% white, and 31% African American; the average age was 56 years. The risk ratio for readmission, comparing the intervention group to the propensity score-matched comparison group, was 1.21 (95% CI = 0.96-1.5). Inverse-probability weighting yielded a similar result (1.19 [95% CI = 0.98-1.45]).

CONCLUSIONS

In this study, the isolated intervention of bedside medication delivery did not reduce 30-day readmission risk. We expect it may have favorable outcomes on other metrics such as primary nonadherence and patient satisfaction. It may also have a favorable effect when bundled with other care transition activities. As an isolated intervention, however, bedside medication delivery is unlikely to affect 30-day readmission rates.

DISCLOSURES

This study was funded by Walgreen Co. through unrestricted funds to Johns Hopkins University, which has received fees from Walgreens for providing consultation as an institution to Walgreens. This arrangement has been reviewed and approved by the Johns Hopkins University in accordance with its conflict of interest policies. Segal received a grant from the National Institute on Aging during the conduct of this study. The other authors have nothing to disclose.

Challenges at Care Transitions: Failure to Follow Medication Changes Made at Hospital Discharge

BACKGROUND

In-hospital medication reconciliation has not demonstrated reductions in adverse health outcomes, possibly because patients do not follow the changes made to their preadmission medications. Our objective was to determine the incidence of and variables associated with failure to follow newly prescribed therapies, discontinued medications, and dose changes.

METHODS

A prospective cohort study of patients admitted to hospitals in Montreal, Quebec between 2014 and 2016 was conducted. Failure to follow medication changes 30 days post discharge was measured by comparing prescribed and dispensed medications. Multivariable logistic regression was used to determine characteristics associated with failure to follow changes.

RESULTS

Among 2655 patients, mean age was 69.5 years (SD 14.7), and 1581 (60%) were males. There were 10,068 medication changes made at hospital discharge and 24% were not followed in the 30 days post discharge. Thirty percent of dose modifications were filled at the incorrect dose, 27% of new medications were not filled, and 12% of discontinued medications were filled. A number of factors increased the risk of failure to follow medication changes, including increasing out-of-pocket medication costs (adjusted odds ratio [aOR] 1.12; 95% confidence interval [CI], 1.07-1.18), discharge to long-term care facility (aOR 2.29; 95% CI, 1.63-3.08), and not having medications dispensed prior to admission (aOR 4.67; 95% CI, 3.75-5.90).

CONCLUSION

One in 4 hospital medication changes was not followed post discharge. Health policy aimed at eliminating out-of-pocket medication costs and investigation of factors influencing failure to follow changes for those not dispensed medications prior to admission and for long-term care residents are important next steps to address this issue.