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Effectiveness of a Person-centred Prescription Model at the End of Life

Effectiveness of a Person-centred Prescription Model in Hospitalised Geriatric Patients at the End of Life

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05454644
Enrollment
114
Registered
2022-07-12
Start date
2018-02-15
Completion date
2021-02-28
Last updated
2022-07-12

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

Conditions

Deprescriptions, End-Of-Life, Geriatrics, Inappropriate Prescribing, Palliative Medicine

Brief summary

This study's main objective is to investigate whether the application of an adapted person-centred prescription model during a hospital stay would reduce the use of inappropriate or futile regular medications in older people at the end of life, improving their clinical/health statuses and reducing the expense associated with pharmacological treatment. We hypothesised that applying this modified method could optimise pharmacotherapeutic indicators and the expense associated with the pharmacological treatment of hospitalised patients

Interventions

OTHERPerson-Centred Prescription Model

Step 1: Identify patients with advanced chronic condition and limited life expectancy. Step 2: Interview with patients or closes caregiver. Step 3: Medication Review The clinical pharmacist conduct a structured medication review based on the medication appropriateness index (MAI): * Indication/effectiveness: Product information, STOPPFrail (Screening Tool of Older Persons' Prescriptions in Frail adults with limited life expectancy) criteria and Beers Criteria for Potentially Inappropriate Medication Use in Older Adults. * Dosage adjustment: Product Information and Lexi-Comp's Geriatric Dosage Handbook. * Correct and practical directions: Medication Regimen Complexity Index (MRCI). * Drug-drug interactions: Bot Plus/Beers Criteria and drug burden index (DBI), which measures dose-dependent anticholinergic and sedative loads. * Drug-disease interactions: Beers Criteria. * Duplication, duration and cost-effectiveness: Product information. Step 4: Treatment Plan

Sponsors

University of the Basque Country (UPV/EHU)
CollaboratorOTHER
Universidad de León
CollaboratorOTHER
Matia Foundation
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

Comparison of person-centred prescription model application versus standard pharmaceutical care alone. The intervention is applied randomly during hospital stay in hospitalised older people at the end of life. The primary outcome is the mean change between admission and discharge in the number of regular medications.

Eligibility

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

Inclusion criteria

* Patients admitted to the geriatric convalescence unit and identified as having a non-oncological advanced chronic disease and being in need of palliative care, with a limited survival prognosis according to the necessity of palliative care (NECPAL) test.

Exclusion criteria

* Patients with hospital stays of less than 72 hours. * Patients transferred to other hospitals or units. * Patients with imminently terminal patients.

Design outcomes

Primary

MeasureTime frame
Change between admission and discharge in the number of regular medications.3 months

Secondary

MeasureTime frame
Change between admission and discharge in the Drug Burden Index (DBI)3 months
Change between admission and discharge in the total drug-drug interactions3 months
Change between admission and discharge in the Medication Regimen Complexity Index (MRCI)3 months
Change between admission and discharge in the STOPP Frail Criteria3 months
Number of patients who have had a new emergency department presentation.3 months
Number of patients who have had unplanned hospital readmission3 months
Change in the 28-day cost of prescriptions in €3 months

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 11, 2026