Understanding Stakeholder Views Regarding the Design of an Intervention Trial to Reduce Anticholinergic Burden: A Qualitative Study

Development and Pilot Testing of an Algorithm-Based Approach to Anticholinergic Deprescribing in Older Patients

BACKGROUND

Adverse anticholinergic drug reactions are common, yet evidence on how to reduce exposure to anticholinergic activity and reliably measure successful deprescribing is still scant. This study proposes an algorithm-based approach to evaluate and reduce anticholinergic load, and reports the results of its pilot testing.

METHODS

Based on published evidence and expert opinion, a list of 85 anticholinergic drugs and 21 algorithms for reducing anticholinergic load, e.g., by recommending alternative drugs with lower risk, were developed. An accompanying test battery was assembled by focusing on instruments that sensitively reflect anticholinergic load and may be sensitive to depict changes (Neuropsychological Assessment Battery to measure memory and attention, validated assessments for constipation, urinary symptoms, and xerostomia, as well as blood biomarkers). The approach was pilot-tested in a geriatric rehabilitation unit, with clinician feedback as the primary outcome and characterization of anticholinergic symptoms as the secondary outcome. The intervention was delivered by a pharmacist and a clinical pharmacologist who used the algorithms to generate personalized recommendation letters.

RESULTS

We included a total of 20 patients, 13 with anticholinergic drugs and 7 without. Recommendations were made for 22 drugs in nine patients from the intervention group, of which seven letters (78%) were considered helpful and 8/22 (36%) anticholinergic drugs were discontinued, reducing anticholinergic load in seven patients. In contrast to patients without drug change, memory assessment in patients with reduced anticholinergic load improved significantly after 2 weeks (6 ± 3 vs. -1 ± 6 points).

CONCLUSIONS

The approach was well received by the participating physicians and might support standardized anticholinergic deprescribing.

Post Hoc Analyses of a Randomized Controlled Trial for the Effect of Pharmacist Deprescribing Intervention on the Anticholinergic Burden in Frail Community-Dwelling Older Adults

OBJECTIVES

Anticholinergic burden is detrimental to cognitive health. Multiple studies found that a high anticholinergic burden is associated with an increased risk for dementia, changes to the brain structure, function, and cognitive decline. We performed a post hoc analysis of a randomized controlled deprescribing trial. We compared the effect of the intervention on baseline anticholinergic burden across the treatment and control groups and the time of recruitment before and after a lockdown due to the COVID pandemic with subgroup analyses by baseline frailty index.

DESIGN

Randomized controlled trial.

SETTINGS AND PARTICIPANTS

We analyzed data from a de-prescribing trial of older adults (>65 years) previously conducted in New Zealand that was focused on reducing the Drug Burden Index (DBI).

METHODS

We used the anticholinergic cognitive burden (ACB) to quantify the impact of the intervention on reducing the anticholinergic burden. Participants not taking anticholinergics at the start of the trial were excluded. The primary outcome for this subgroup analysis was a change in ACB, measured with the ĝ_Hedges statistic describing the difference in standard deviation units of this change between intervention and control. For this analysis, the trial participants were stratified into low, medium, and high frailty and timing into prior- and post-lockdown (public health measures for COVID-19).

RESULTS

Among the 295 participants in this analysis, the median (IQR) age was 79 (74, 85), and 67% were women. For the primary outcome ĝ_Hedges = -0.04 (95% CI -0.26 to 0.19) with a -0.23 mean reduction in ACB in the intervention arm and -0.19 in the control arm. Before lockdown ĝ_Hedges = -0.38 (95% CI -0.84 to 0.04) and post-lockdown ĝ_Hedges = 0.07 (95% CI -0.19 to 0.33). The mean change in ACB for each of the frailty strata was as follows: low frailty (-0.02; 95% CI -0.65 to 0.18); medium frailty (0.05; 95% CI -0.28 to 0.38); high frailty (0.08; 95% CI -0.40 to 0.56).

CONCLUSIONS AND IMPLICATIONS

The study did not provide evidence for the effect of pharmacist deprescribing intervention on reducing the anticholinergic burden. However, this post hoc analysis examined the impact of COVID on the effectiveness of the intervention, and further research in this area may be warranted.

A stewardship program to facilitate anticholinergic and sedative medication deprescribing using the drug burden index in electronic medical records

AIMS

The drug burden index (DBI) measures a person's total exposure to anticholinergic and sedative medications, which are commonly associated with harm. Through incorporating the DBI in electronic medical records (eMR) and implementing a DBI stewardship program, we aimed to determine (i) uptake of the steward's recommendations to deprescribe anticholinergic and/or sedative drugs by the medical team and (ii) whether accepted recommendations were actioned in hospital or recommended for follow-up by the General Practitioner post-discharge.

METHODS

A single-arm, non-randomised feasibility study was performed at an Australian tertiary referral metropolitan hospital. The stewardship pharmacist reviewed eMRs of patients aged ≥75 years with DBI scores > 0, during admission. The steward identified and discussed potential opportunities to deprescribe anticholinergic and/or sedative medications with the medical registrars.

RESULTS

Amongst 256 patients reviewed, the steward made 170 recommendations for 117 patients. Registrars agreed with 141 recommendations (82.9%) for 95 patients (81.2%), and actioned 115 deprescribing recommendations for 80 patients, most commonly for antidepressants and opioids. The 115 actioned recommendations resulted in 125 changes, with 44 changes to the inpatient drug chart and 81 additional changes recommended post-discharge in the discharge summary.

CONCLUSION

Opportunities exist for deprescribing anticholinergic and sedative medications in older inpatients and a DBI stewardship program may help implement these. It is important to capture different outcomes of deprescribing interventions, including in-hospital medication changes, recommendations in the Discharge Summary, sustainability of deprescribing and clinical outcomes.