Health Economic Evaluation Alongside the OPERAM Trial
1 other identifier
interventional
2,009
4 countries
4
Brief Summary
The objective of the health economic evaluation is to perform a state-of-the-art economic analysis of the STRIP intervention, alongside the OPERAM Randomised Controlled Trial (RCT).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2016
Typical duration for not_applicable
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2016
CompletedFirst Submitted
Initial submission to the registry
April 4, 2017
CompletedFirst Posted
Study publicly available on registry
April 11, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2019
CompletedAugust 27, 2020
August 1, 2020
2.8 years
April 4, 2017
August 24, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The cost-effectiveness of the STRIP intervention
The cost-effectiveness analysis (CEA) is performed by combining clinical data, quality of life data and healthcare utilisation data collected within the trial, and unit costs for participating countries that will stem from external sources.
12 months
Secondary Outcomes (5)
Healthcare utilisation
12 months
Informal care received
12 months
Healthcare costs
12 months
Quality of life EQ-5D
2, 6, and 12 months
Direct costs of the STRIP intervention
during the index hospitalisation at baseline
Other Outcomes (1)
Exploratory outcome measures
12 months
Study Arms (2)
STRIP intervention
EXPERIMENTALThe intervention will take place during the initial hospital admission (Index Hospitalisation) or an equivalent situation for outpatients. STRIP is a structured method to perform pharmacotherapy optimisation. The STRIP-intervention consists of 9 steps.
Control
SHAM COMPARATORParticipants in the control group will receive medication review by the prescribing physicians in accordance with usual care. If an extended drug review is in place in a ward/specialty corresponding characteristics are collected on cluster level.
Interventions
The STRIP intervention consists of 9 steps: 1. structured history taking of medication 2. recording medication and diagnoses in STRIPA 3. structured drug review based on the STRIPA with the integrated Screening Tool of Older Person's Prescriptions (STOPP)/ Screening Tool to Alert Doctors to the Right Treatment (START) criteria 4. communication and discussion of the structured drug review with prescribing physician with possible adaptation of the recommendation 5. shared decision-making with the patient with possible adaptation of the recommendation 6. optional revision based on new accumulating data during hospitalisation (e.g. new diagnoses, adverse drug reactions) 7. generation of general practioner (GP) report 8. delivery of the report to the patient and to the GP (optional additional direct communication) 9. follow-up
Standard care in the department where the trial is conducted
Eligibility Criteria
You may qualify if:
- People 70 years of age or older
- Multimorbidity: 3 or more coexistent chronic conditions defined by 3 distinct International Classification of Diseases (ICD-10) codes with an estimated duration of 6 months or more or based on a clinical decision
- Polypharmacy i.e. five or more different regular drugs (defined as authorised medications with registration numbers) for more than 30 days.
- Estimated minimal length of stay within the cluster is sufficient to apply the intervention
- If outpatient: prescribing physician has GP function and has a planned appointment to conduct intervention
You may not qualify if:
- Inability to provide informed consent or to obtain informed consent from a proxy for patients with cognitive impairment
- Direct admission to palliative care (\< 24h after admission)
- Has passed or will pass a systematic structured drug review during this hospitalisation or within the last two months
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Insel Gruppe AG, University Hospital Bernlead
- Cliniques universitaires Saint-Luc- Université Catholique de Louvaincollaborator
- Cork University Hospitalcollaborator
- UMC Utrechtcollaborator
- University of Baselcollaborator
- Université Catholique de Louvaincollaborator
- Utrecht Universitycollaborator
- University of Berncollaborator
- State Secretariat for Education Research and Innovation, Switzerlandcollaborator
- European Commissioncollaborator
Study Sites (4)
Cliniques universitaires Saint-Luc
Brussels, 1200, Belgium
Dept. of Medicine (Geriatrics), University College Cork
Cork, Ireland
Universitair Medisch Centrum Utrecht
Utrecht, 3508, Netherlands
University of Bern and University Hospital Bern (Inselspital)
Bern, 3010, Switzerland
Related Publications (5)
Laws MB. Adverse drug reactions as cause of admission to hospital: definition of adverse drug reactions needs to include overdose. BMJ. 2004 Aug 21;329(7463):459-60; author reply 460. doi: 10.1136/bmj.329.7463.459-b. No abstract available.
PMID: 15321917BACKGROUNDLeendertse AJ, Egberts AC, Stoker LJ, van den Bemt PM; HARM Study Group. Frequency of and risk factors for preventable medication-related hospital admissions in the Netherlands. Arch Intern Med. 2008 Sep 22;168(17):1890-6. doi: 10.1001/archinternmed.2008.3.
PMID: 18809816RESULTGillespie U, Alassaad A, Henrohn D, Garmo H, Hammarlund-Udenaes M, Toss H, Kettis-Lindblad A, Melhus H, Morlin C. A comprehensive pharmacist intervention to reduce morbidity in patients 80 years or older: a randomized controlled trial. Arch Intern Med. 2009 May 11;169(9):894-900. doi: 10.1001/archinternmed.2009.71.
PMID: 19433702RESULTHoward RL, Avery AJ, Slavenburg S, Royal S, Pipe G, Lucassen P, Pirmohamed M. Which drugs cause preventable admissions to hospital? A systematic review. Br J Clin Pharmacol. 2007 Feb;63(2):136-47. doi: 10.1111/j.1365-2125.2006.02698.x. Epub 2006 Jun 26.
PMID: 16803468RESULTAlldred DP, Raynor DK, Hughes C, Barber N, Chen TF, Spoor P. Interventions to optimise prescribing for older people in care homes. Cochrane Database Syst Rev. 2013 Feb 28;(2):CD009095. doi: 10.1002/14651858.CD009095.pub2.
PMID: 23450597RESULT
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Nicolas Rodondi, Prof.
Head of Ambulatory Care Department of General Internal Medicine Inselspital, Bern University Hospital, University of Bern, Switzerland
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 4, 2017
First Posted
April 11, 2017
Study Start
December 1, 2016
Primary Completion
October 1, 2019
Study Completion
October 1, 2019
Last Updated
August 27, 2020
Record last verified: 2020-08