Control in the Hospital by Extensive Clinical rules for Unplanned hospitalizations in older Patients (CHECkUP); study design of a multicentre randomized study

Background Due to ageing of the population the incidence of multimorbidity and polypharmacy is rising. Polypharmacy is a risk factor for medication-related (re)admission and therefore places a significant burden on the healthcare system. The reported incidence of medication-related (re)admissions varies widely due to the lack of a clear definition. Some medications are known to increase the risk for medication-related admission and are therefore published in the triggerlist of the Dutch guideline for Polypharmacy in older patients. Different interventions to support medication optimization have been studied to reduce medication-related (re)admissions. However, the optimal template of medication optimization is still unknown, which contributes to the large heterogeneity of their effect on hospital readmissions. Therefore, we implemented a clinical decision support system (CDSS) to optimize medication lists and investigate whether continuous use of a CDSS reduces the number of hospital readmissions in older patients, who previously have had an unplanned probably medication-related hospitalization. Methods The CHECkUP study is a multicentre randomized study in older (≥60 years) patients with an unplanned hospitalization, polypharmacy (≥5 medications) and using at least two medications from the triggerlist, from Zuyderland Medical Centre and Maastricht University Medical Centre+ in the Netherlands. Patients will be randomized. The intervention consists of continuous (weekly) use of a CDSS, which generates a Medication Optimization Profile, which will be sent to the patient’s general practitioner and pharmacist. The control group will receive standard care. The primary outcome is hospital readmission within 1 year after study inclusion. Secondary outcomes are one-year mortality, number of emergency department visits, nursing home admissions, time to hospital readmissions and we will evaluate the quality of life and socio-economic status. Discussion This study is expected to add evidence on the knowledge of medication optimization and whether use of a continuous CDSS ameliorates the risk of adverse outcomes in older patients, already at an increased risk of medication-related (re)admission. To our knowledge, this is the first large study, providing one-year follow-up data and reporting not only on quality of care indicators, but also on quality-of-life. Trial registration The trial was registered in the Netherlands Trial Register on October 14, 2018, identifier: NL7449 (NTR7691). https://www.trialregister.nl/trial/7449.

Differences in medication reconciliation interventions between six hospitals: a mixed method study

Background Although medication reconciliation (MedRec) is mandated and effective in decreasing preventable medication errors during transition of care, hospitals implement MedRec differently. Objective Quantitatively compare the number and type of MedRec interventions between hospitals upon admission and discharge, followed by a qualitative analysis on potential reasons for these differences. Methods This explanatory retrospective mixed method study consisted of a quantitative and a qualitative part. Patients from six hospitals and various wards were included if MedRec was performed both on hospital admission and discharge. Information on pharmacy interventions to resolve unintended discrepancies and medication optimizations were collected. Based on these quantitative results, interviews and a focus group was performed to give insight in MedRec processes. Descriptive analysis was used for the quantitative-, content analysis for the qualitative part. Results On admission, patients with at least one discrepancy varied from 36-95% (mean per patient 2.2 (SD +/- 2.4) Upon discharge, these numbers ranged from 5-28% while optimizations reached 2% (admission) to 95% (discharge).The main themes explaining differences in numbers of interventions were patient-mix, healthcare professionals involved, location and moment of the interview plus embedding and extent of medication optimization. Conclusions Hospitals differed greatly in the number of interventions performed during MedRec. A combination of patient-mix, healthcare professionals involved, location and timing of the interview plus embedding and extent of medication optimization resulted in the highest yield of MedRec interventions on unintended medication discrepancies and optimizations. This study supports to give direction to optimize MedRec processes in hospitals.

Vestibular Physiotherapy Patients May Require Medical Assessment: Results of Vertigo Audit in Hutt Hospital

Introduction: To identify the type of referrals received by vestibular physiotherapists for vertigo and assess whether medical review for these patients would be appropriate. Materials and Methods: We performed a retrospective review of referral forms, vestibular assessment forms, and vertigo clinic letters of patients referred for vertigo or vestibular physiotherapy input between July 1, 2013, to December 31, 2013. Results: We studied 29 patients with a median age of 63 years. A diagnosis was provided in 65.5% of the referrals. Of 14 patients with possible benign paroxysmal positional vertigo (BPPV), Dix-Hallpike had been performed only for 4 patients. Almost half were seen for the medical review in the Vertigo Clinic due to the concerns of possible alternative non-vestibular diagnosis, medication issues, or syncope. Alternative diagnoses identified medically included orthostatic hypotension, stroke, vestibular migraine, medication-induced bradycardia, and phobic postural vertigo. Medication changes in vertigo clinic included treatment for heart failure, migraine, and medication optimization. Conclusion: Medical review is appropriate for some patients referred for vestibular physiotherapy. A medical opinion should be sought by vestibular physiotherapists if there is uncertainty or concerns that the referred patients did not have straightforward vestibular problems, or there were possible alternative diagnoses, concerns with medications, or syncope.

The Development of a Deprescribing Competency Framework in Geriatric Nursing Education

The purpose of this article is to report the literature review findings of our larger deprescribing initiative, with the goal of developing a competency framework about deprescribing to be incorporated into the future geriatric nursing education curriculum. A literature review was conducted to examine the facilitators and barriers faced by nurses with regard to the process of deprescribing for older adults, and the development of deprescribing competency in nursing education. We adopted the seven steps of the Comprehensive Literature Review Process Model, which is sub-divided into the following three phases (a) Exploration; (b) Interpretation; and (c) Communication. A total of 24 peer-reviewed documents revealed three major facilitating factors: (a) Effective education and training in deprescribing; (b) Need for continuing education and professional development in medication optimization; and (c) Benefits of multi-disciplinary involvement in medication management.

Medication Optimization Among People With Type 2 Diabetes Participating in a CGM-Driven Virtual Care Program: Prospective Trial (Preprint)

BACKGROUND The Onduo virtual care program for people with type 2 diabetes (T2D) includes a mobile app, remote lifestyle coaching, connected devices and telemedicine consultations with endocrinologists for medication management and prescription of real-time continuous glucose monitoring (RT-CGM) devices. In a previously described 4-month prospective study of this program, adults with T2D and baseline HbA1c ≥8.0% to ≤12.0% experienced a mean HbA1c decrease of 1.6% with no significant increase in hypoglycemia. OBJECTIVE The objective of this analysis was to evaluate medication optimization and management in the 4-month prospective T2D study. METHODS Study participants received at least 1 telemedicine consultation with an Onduo endocrinologist for diabetes medication management and used RT-CGM intermittently to guide therapy and dosing. Medication changes were analyzed. RESULTS A total of 48 (87%) out of 55 participants had a medication change consisting of a dose change, addition, or discontinuation. Of these, 15 (31%) of participants had a net increase in number of diabetes medications classes from baseline. Mean time to first medication change for these participants was 36 days. The percentage of participants taking a GLP-1 receptor agonist increased from 25% to 56%, while the percentages of participants taking a sulfonylurea or DPP-4 inhibitor decreased from 56% to 33% and 17% to 6%, respectively. Prescriptions of other anti-diabetic medication classes including insulin did not change significantly. CONCLUSIONS The Onduo virtual care program can play an important role in providing timely access to guideline-based diabetes management medications and technologies for people with T2D. CLINICALTRIAL ClinicalTrials.gov NCT0386538