Reducing complexity of drug treatment in patients with polypharmacy while taking patient preferences into account in public pharmacies

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00025228

Enrollment

162

Registered

2021-05-17

Start date

2021-05-02

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

complexity of drug treatment

Interventions

Group 1: Use of an electronic tool for the automated and personalised analysis of complexity of drug treatment Group 2: Use of a version of the tool that is restricted to the automated analysis

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) Use of more than 5 drugs. 2) Regular use of the drugs 3) Written informed consent

Exclusion criteria

Exclusion criteria: 1) Insufficient proficiency in German 2) Cognitive and physical impairments that make it impossible to conduct the study 3) Absence or withdrawal of informed consent

Design outcomes

Primary

Measure	Time frame
Mean difference of proposed and actually implemented (i.e. perceived as helpful by patients) optimization measures in the intervention group (automated and personalized complexity analysis) compared to the control group (automated complexity analysis without standardized personalization).	—

Secondary

Measure	Time frame
- Type and number of complexity factors detected by the tool - Type and number of complexity factors proposed by the pharmacy staff for intervention - Type and number of optimization measures proposed by pharmacy staff - Type and number of optimization measures that reduced complexity for the patient - Evaluation of the relevance of the automated-identifiable complexity factors for the patients - Identification of further, non-automated-identified complexity factors by means of additional general, open questions - Identification of barriers or facilitating factors in the implementation of the tool. - Identification of barriers or facilitating factors in the implementation of the optimization measures for reducing complexity - Evaluation of the tool by the pharmacy staff (e.g. applicability, integrability into patient consultation) - Identification of optimization potentials of the tool	—

Measure

Time frame

- Type and number of complexity factors detected by the tool - Type and number of complexity factors proposed by the pharmacy staff for intervention - Type and number of optimization measures proposed by pharmacy staff - Type and number of optimization measures that reduced complexity for the patient - Evaluation of the relevance of the automated-identifiable complexity factors for the patients - Identification of further, non-automated-identified complexity factors by means of additional general, open questions - Identification of barriers or facilitating factors in the implementation of the tool. - Identification of barriers or facilitating factors in the implementation of the optimization measures for reducing complexity - Evaluation of the tool by the pharmacy staff (e.g. applicability, integrability into patient consultation) - Identification of optimization potentials of the tool

—

Countries

Germany

Contacts

Public ContactViktoria Wurmbach

Abteilung Klinische Pharmakologie und Pharmakoepidemiologie, Kooperationseinheit Klinische Pharmazie

viktoria.wurmbach@med.uni-heidelberg.de0049(0)6221/5636988

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026