Development and testing of a framework for defining a strategy to address medication adherence during patient encounters in community pharmacies

Background

Counseling patients on medication adherence could be ameliorated in pharmacy practice. There is a lack of simple and practical strategies to address medication adherence with patients in daily practice. The goal was to develop and test a framework that allows pharmacy teams to define and apply a strategy to address medication adherence in community pharmacies.

Methods

A framework based on the principles of social marketing was developed. It consisted of 3 items: the target patient (“Who”), the target plan (“How”), and the target goal (“How many”). To test the framework, each participating pharmacy team developed their strategy by defining the 3 items and applied them during one pilot day. A master student observed the encounters between patients and pharmacy team members and used a structured checklist to document the patient's characteristics, counseling content, and strategy use. Pharmacy teams answered a feedback questionnaire at the end of the pilot day.

Results

Ten pharmacy teams were included. During a brainstorming session that lasted on average 31 ± 8 min, unique strategies comprised 18 different target patients and 20 different target plans. The planned target goal was a mean of 31 patients (range: 1 to “all”). A total of 325 encounters were observed, of which 208 patients (64%) corresponded to the predefined target patients. Medication adherence was addressed with 73 patients (22.5%), and adherence counseling was performed with 50 patients (15%). The pharmacy teams accepted the framework and judged it feasible and adaptable to their needs.

Conclusion

The proposed framework represents a simple tool that enables pharmacy teams to develop a strategy for addressing medication adherence in community pharmacies. Its adoption by pharmacy teams occurred without additional training and its integration into daily practice without difficulties. A further study is now needed to investigate if pharmacy teams can successfully engage patients in discussion on medication adherence and ultimately propose targeted adherence interventions.

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A 3-item framework to address medication adherence in pharmacies was introduced.

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The three framework was well received by the pharmacy teams.

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The adoption of the 3-item framework by the pharmacy teams was simple and quick.

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The teams chose target patient not according to known factors for poor adherence

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Patients reacted mainly positively when asked about medication adherence

How do elderly outpatients manage polypharmacy including DOAC - A qualitative analysis highlighting a need for counselling

BACKGROUND

Patients with polypharmacy are challenged with the management of their daily medication. Medication management strategies for direct oral anticoagulants (DOAC) are especially important to guarantee medication adherence and to prevent thromboembolic events. Patients are often left alone with finding an appropriate strategy.

OBJECTIVE(S)

To explore medication management strategies, to measure adherence to DOAC with the aim of deducing recommendations for practice.

METHODS

Face-to-face semi-structured interviews were conducted at the home of outpatients who were taking ≥4 medications daily including a DOAC, and self-managing their medication. A small electronic device (Time4Med™) was given to record medication intake during the four following weeks. During a second home visit, participants saw a graph of their medication intake as dot chart, and obtained a feedback. Interviews were transcribed verbatim and thematically analysed. Medication adherence was calculated with electronic data.

RESULTS

Eighteen individuals (61.1% female; median age 77.5 years) were interviewed and reported 30 different medication management strategies, together with triggers, advantages and limitations. They combined at least five strategies, composed of internal (memory-based) and external (packaging-based or intake-based) strategies. The number of strategies was neither associated with the number of medications nor with medication adherence. Taking adherence was <100% for eight patients (44.4%). The inability of any medication management strategy to adapt to ageing and cognitive decline emerged as its most dramatic limitation, especially because individuals would fail to notice when their strategy became unsuited.

CONCLUSIONS

Elderly patients develop manifold medication management strategies, which can inspire future medication users. Limitations are present such as forgetting medication intake in spite of a management strategy. The moment to adapt the strategy to ageing or cognitive decline is crucial and often goes unnoticed. It is therefore decisive that healthcare professionals regularly re-evaluate the appropriateness of the medication management strategies during counselling or ideally during home visits.

Lessons Learned From Three Months of Pharmaceutical-Care Digital-Education at the University of Basel, Switzerland

An acceptable degree of digital literacy has always been present among the pharmacy teaching staff in Basel, with PowerPoint being the main vehicle to present teaching materials in front of full or half classes. Because cell phones became inseparable from students over the past years, mobile voting (movo.ch) or e-quizzes (mentimeter.com) have been regularly used to hold the attention of all students during collective teaching. Moreover, e-assessment on iPad^® with the software BeAxi (www.k2prime.com) was introduced in 2012 and is currently used for all evaluations and exams. Suddenly over the night of March 16, 2020, our university, as all universities around the world, had to transfer all courses to an online format and to empower lecturers to teach from their home. This paper offers one perspective for how this digitial experiment unfolded at the University of Basel in Basel, Switzerland.

A Systematic Review of Medication Adherence Thresholds Dependent of Clinical Outcomes

Background: In pharmacotherapy, the achievement of a target clinical outcome requires a certain level of medication intake or adherence. Based on Haynes's early empirical definition of sufficient adherence to antihypertensive medications as taking ≥80% of medication, many researchers used this threshold to distinguish adherent from non-adherent patients. However, we propose that different diseases, medications and patient's characteristics influence the cut-off point of the adherence rate above which the clinical outcome is satisfactory (thereafter medication adherence threshold). Moreover, the assessment of adherence and clinical outcomes may differ greatly and should be taken into consideration. To our knowledge, very few studies have defined adherence rates linked to clinical outcomes. We aimed at investigating medication adherence thresholds in relation to clinical outcomes.

Method: We searched for studies that determined the relationship between adherence rates and clinical outcomes in the databases PubMed, Embase^Ⓡ and Web of Science™ until December 2017, limited to English-language. Our outcome measure was any threshold value of adherence. The inclusion criteria of the retrieved studies were (1) any measurement of medication adherence, (2) any assessment of clinical outcomes, and (3) any method to define medication adherence thresholds in relation to clinical outcomes. We excluded articles considered as a tutorial. Two authors (PB and IA) independently screened titles and abstracts for relevance, reviewed full-texts, and extracted items. The results of the included studies are presented qualitatively.

Result: We analyzed 6 articles that assessed clinical outcomes linked to adherence rates in 7 chronic disease states. Medication adherence was measured with Medication Possession Ratio (MPR, n = 3), Proportion of Days Covered (PDC, n = 1), both (n = 1), or Medication Event Monitoring System (MEMS). Clinical outcomes were event free episodes, hospitalization, cortisone use, reported symptoms and reduction of lipid levels. To find the relationship between the targeted clinical outcome and adherence rates, three studies applied logistic regression and three used survival analysis. Five studies defined adherence thresholds between 46 and 92%. One study confirmed the 80% threshold as valid to distinguish adherent from non-adherent patients.

Conclusion: The analyzed studies were highly heterogeneous, predominantly concerning methods of calculating adherence. We could not compare studies quantitatively, mostly because adherence rates could not be standardized. Therefore, we cannot reject or confirm the validity of the historical 80% threshold. Nevertheless, the 80% threshold was clearly questioned as a general standard.