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Application for an Electronic Medication Management Support System

Effectiveness and Cost-effectiveness of the Application of an Electronic Medication Management Support System in Patients With Polypharmacy in General Practice (AdAM).

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03430336
Acronym
AdAM
Enrollment
12000
Registered
2018-02-12
Start date
2018-02-09
Completion date
2021-06-30
Last updated
2021-07-21

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

Conditions

Polypharmacy

Brief summary

This study assesses whether an electronic medication management support system improves quality, safety, and cost-effectiveness of the drug therapy in adult patients with polypharmacy compared to usual care during the observation period of 15 months from baseline per practice (from 2017 4th quarter to 2020 3rd quarter).

Detailed description

Title: Application of an electronic medication management support system. Objectives: The aim of the study is to assess the effectiveness of an electronic medication management support system on hospitalization and death, its cost-effectiveness and its effects on the quality and safety of prescribing in patients with polypharmacy. Methods: A parallel, cluster-randomised controlled trial will be conducted in about 1,080 general practices located in the Westphalia-Region (Germany), which care for adult patients covered by BARMER health insurance. Per group, 17,200 clustered-randomized patients (about 32 patients per practice) will be included, if they take ≥ 5 long-term prescriptions (at least 2 consecutive quarters). In the intervention group, family physicians will use an user-initiated clinical decision support system (CDSS) which provides drug-therapy relevant information (e.g. on diagnoses and treatments) and alerts in case of drug-drug, drug-disease and drug-age interactions. Based on that information, the family physician systematically assesses the appropriateness of patient's medication and optimizes it. Patients receive an updated medication plan in their mother's language, if needed. In the control group, patients continue to receive usual care where there is no access to the CDSS. The primary outcome is the combined endpoint of all-cause mortality and all-cause hospital admissions after the observation period of 12 quarters or 15 months per practice. The outcome measures will be based on secondary data (i.e. claims data). Primary and secondary outcomes will be measured at patient level. The primary analysis will be performed adhering to the intention-to-treat (ITT) principle. Amendment (07/04/2020): The parallel group comparison will be conducted, as planned. However, the design of the primary analysis will be changed into a cluster-randomised stepped wedge design with an open cohort, as the recruitment to the target of N=1,080 practices was not reached. The changes of the design will allow to safe the power of the trial of 80% to detect differences of the combined primary outcome between both groups. The primary outcome as well as the ITT-analysis were not changed. The changes of the design implied the following subsequent adaptations of the protocol: 1. Arms and assigned interventions: The GP practices of the intervention group will continue to provide the experimental intervention as described in the experimental arm for the entire time in the trial. The GP practices of the control arm (usual care, no intervention) will switch to the experimental arm after five quarters control time and provide the experimental intervention for the remaining time in the trial. 2. Case finding: The BARMER creates lists of potentially eligible patients (Potenzialpatienten) in GP practices participating in the AdAM trial based on the fulfillment of inclusion/exclusion criteria in claims data at each quarter between the first quarter 2018 and the third quarter of 2020. Intervention practices receive the lists quarterly from the quarter after randomization and control practices quarterly starting on the date of switch. 3. Informed consent: The GPs in practices of the experimental arm (either they were randomized and assigned as intervention practices at the beginning of the trial or they switch after the end of five quarters control time) invite potentially eligible patients from the lists and ask for a written informed consent.

Interventions

OTHERCDSS provides drug-therapy relevant information

External computerized decision support system (CDSS: RpDoc® eMMa Software, RpDoc® Solutions GmbH, Saarbruecken) provides drug-therapy relevant information about participating patients with polypharmacy on demand to the general practitioners (GPs) such as data about diagnoses and treatments. The information is based on claims data gathered from all health care professionals involved in the care of the patient (e.g. specialized physicians, other GPs, psychotherapists as well as data about hospital stays and prescription data from pharmacies).

OTHERModification of medication

GPs can add and modify patient's data within the CDSS (e.g. remove drugs which are not taken by the patient anymore, add most recent laboratory findings about kidney function etc.) to enrich and update claims data based information.

OTHERAssessment of medication appropriateness

GPs systematically assess the appropriateness of the medication supported by the CDSS, which will alert in case of drug-drug, drug-disease, and drug-age interactions as well as other inappropriateness, such as prescriptions with regard to incorrect dosage or Dear Doctor letters.

GPs print out the updated medication plan including also recommendations for medication use and reasons for prescription in lay language (also available in foreign languages for patients with migration background) as well as recommendations on drugs to use / to avoid including over-the-counter drugs (OTC) (optional) and hand it out to the patient.

OTHERGuidance in medication process

GPs receive guidance via the CDSS (e.g. recommendations addressing certain types of medication errors and high risk prescribing, developed by the German Society for Internal Medicine in collaboration with other scientific medical societies).

Sponsors

Association of Statutory Health Insurance Physicians Westphalia/Lippe, Germany
CollaboratorUNKNOWN
Goethe University
CollaboratorOTHER
University of Cologne
CollaboratorOTHER
Ruhr University of Bochum
CollaboratorOTHER
Bielefeld University
CollaboratorOTHER
University of Wuppertal
CollaboratorOTHER
BARMER
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Masking description

Due to the character of the intervention, blinding is not possible.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients ≥ 18 years of age with polypharmacy (5 or more drugs taken for at least two quarters). * Informed consent.

Exclusion criteria

* Incapacitated patients without legal representative

Design outcomes

Primary

MeasureTime frameDescription
Combined endpoint of all-cause mortality and all-cause hospital admissionsObservation period of 15 months per practiceThe primary outcome is the combined endpoint of all-cause mortality and all-cause hospital admissions (including night- and day-only admissions) in patients with polypharmacy.

Secondary

MeasureTime frameDescription
Number of potential inappropriate prescriptionsObservation period of 15 months per practiceNumber of potential inappropriate prescriptions: to ascertain whether the complex intervention improves the appropriateness of prescriptions (high-risk prescriptions) in patients with polypharmacy.
All-cause hospital admissionsObservation period of 15 months per practice (quarterly)All-cause hospital admissions: to evaluate whether the complex intervention reduces all-cause hospital admissions (including day- or night-only admissions) (number and duration) in patients with polypharmacy.
All-cause mortalityObservation period of 15 months per practice (quarterly)All-cause mortality: to assess whether the complex intervention reduces all-cause mortality in patients with polypharmacy.

Other

MeasureTime frameDescription
Cost EffectivenessObservation period of 15 months per practiceCost-effectiveness of the intervention will be measured by the incremental cost-effectiveness ratio (ICER), which is expressed as the ratio of the difference in overall costs between the control and the intervention group and the difference in effects between both groups.

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 20, 2026