[Simplifying complex drug therapies : Challenges and solutions].

Area of Science:

• Pharmacology
• Health Informatics
• Patient Care

Background:

• Managing complex medication regimens (polypharmacy) is often underestimated in outpatient settings.
• High drug counts and complicated dosing schedules can overwhelm patients, leading to treatment errors and adverse drug events.
• Patients frequently lack awareness of medication administration errors and opportunities for optimization.

Purpose of the Study:

• To investigate the feasibility and impact of structured approaches to reduce medication regimen complexity in routine care.
• To evaluate the role of electronic decision support systems in identifying and mitigating factors contributing to medication complexity.
• To assess whether personalizing complexity reduction strategies enhances patient adherence.

Main Methods:

• Utilizing electronic decision support tools to systematically identify factors increasing medication regimen complexity.
• Developing and implementing structured measures to reduce medication complexity.
• Personalizing the analysis and interventions based on patient preferences.
• Conducting a prospective trial (HIOPP-6) to gather initial results.

Main Results:

• Electronic decision support facilitates efficient identification of complexity factors.
• Appropriate measures can be taken by physicians and pharmacists to reduce medication complexity.
• Personalization may increase patient readiness for treatment changes and improve adherence.
• Initial results from the HIOPP-6 trial are anticipated in autumn 2018.

Conclusions:

• Reducing medication regimen complexity is crucial for improving outpatient care and patient outcomes.
• Electronic decision support offers a systematic approach to address polypharmacy challenges.
• Personalized interventions hold promise for enhancing medication adherence and reducing errors.