Skip to content

Development, Validation and Evaluation of a Deprescribing Tool

Development and Validation of a Deprescribing Tool Relevant to the Indian Context and Evaluation of Its Effectiveness in Reducing Inappropriate Polypharmacy in the Elderly

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07114094
Enrollment
1650
Registered
2025-08-11
Start date
2025-05-01
Completion date
2026-09-30
Last updated
2025-08-14

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

Conditions

Elderly

Keywords

Deprescribing Tool, Polypharmacy, Elderly

Brief summary

The goal of this clinical trial is to learn if a deprescribing tool can help in reducing prescriptions with potentially inappropriate medications (PIMs), in the Indian elderly population. The main question it aims to answer is- Can inappropriate polypharmacy in elderly patients be reduced through development and implementation of a deprescribing tool relevant to the Indian context? Researchers will compare control arm outcome parameters to see if there is a reduction in Proportion of prescriptions with at least one PIM ( Primary outcome parameter). Participating Prescribers ( Physicians) will be randomized to Control or Intervention arms. Particpating patients will not be randomized, and will receive routine consultation with a Physician who does not use the Deprescribing Tool (Control arm) or a prescriber who uses the Deprescribing tool ( Intervention Arm)

Detailed description

Rationale: Polypharmacy is common in the elderly and is associated with increased risk of serious adverse events, including falls, cognitive impairment, functional decline, hospitalization, and death. In addition, some of the prescribed drugs may be potentially inappropriate medications (PIM), whose risks outweigh their benefits. It is therefore necessary to review medication intake of the elderly and discontinue or reduce the dose of the ones that are no longer required. This process, termed deprescribing, can reduce prescription of PIMs, improving prescription quality and minimize risks due to potential adverse effects and drug-disease or drug-drug interactions, as well as cost of therapy. Novelty: Although there are many tools for deprescribing, none of these tools has been developed for the Indian context, where there is widespread use of fixed dose combinations (FDCs), use of medicines from different systems of medicines, and high out of pocket expenditure on medicines. Also, some of the medications listed in existing tools are not marketed in India, while some which are commonly prescribed in the country are not listed in the tools. We therefore propose to develop and validate a deprescribing tool for the Indian elderly population, evaluate its impact on prescription quality and risk minimization, as well as explore the facilitators and barriers in the implementation of the tool. Study Design: Multicenter multi-method study. Deprescribing tool will be developed through a modified Delphi method. Prescribers will then be enrolled and randomised to either the control or intervention arm. Prescribers in control arm will prescribe as routine practice, without the aid of the tool. Prescribers in the intervention arm will use the deprescribing tool for medication review and deprescription, if indicated. Elderly patients (≥ 60 years old) of either sex, will be identified by research staff at the OPD registration counter, and approached to consent for the study. Prescriptions of consenting patients (≥ 60 years) will be photographed after consultation with prescriber in either arm. Prescriptions from both arms will be compared for assessment of outcome parameters. Sample size: 1650 (825 per study site) patients will be included evaluation of effectiveness of the tool. To evaluate barriers and facilitators to implementation, in depth interviews will be held with all 30 prescribers (15 at each site). Follow-up: Patients will be followed up at one month telephonically (or in person in case of a routine follow up visit at one month) to inquire about any adverse events, including hospitalization due to any cause. Patients will also be provided with the contact number of a study staff to be contacted in case of any problem within or after the one month follow up period. Expected Outcome: Improved quality of prescribing in the elderly, with reduction in proportion of prescriptions with PIMs, reduction in average number of PIMs prescribed per prescription and reduction of ADRs, drug-disease and drug-drug interactions.

Interventions

OTHERDeprescribing Tool

Deprescribing Tool will be used for medication review during patient consultation. The prescriber will be encouraged to refer to the tool for medication review of elderly patients aged ≥ 60 years and take deprescribing decision if indicated. Deprescribing may take place in any of the following ways- 1. Immediate discontinuation of a drug, e.g., a duplicate drug 2. Initiation of gradual tapering of a drug e.g., an anxiolytic, which is no longer indicated 3. Reduction in dose of a drug, e.g., lower dose of an NSAID for relief of symptoms of rheumatoid arthritis Only 1-3 medicines will be deprescribed at a time. Medicines with overlapping indications will not be deprescribed at the same time so it is clear which medicine is responsible if withdrawal effects occur.

Sponsors

St Johns Medical College Hospital, Bangalore, India
CollaboratorOTHER
Indian Council of Medical Research
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
OTHER
Masking
NONE

Intervention model description

Cluster Randomized ( Participating Prescribers are randomized, not patients) Open Label, Delayed or Sequential Intervention Trial. Intervention arm will begin after completion of Control arm

Eligibility

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

Inclusion criteria

* Elderly patients (≥ 60 years) of either sex, visiting the General Medicine/ Community and Family Medicine OPD of the study sites

Exclusion criteria

* Patients not willing to participate in the study

Design outcomes

Primary

MeasureTime frameDescription
Change in Proportion of prescriptions with at least one PIMFrom enrollment to end of consultation at 30 minutes to 1 hourProportion of prescriptions with at least one PIM in the control arm minus proportion of prescriptions with at least one PIM in the intervention arm. Proportion= Number of prescriptions with at least one PIM ÷Total number of prescriptions included in the respective arm (intervention/control)

Secondary

MeasureTime frameDescription
Change in Average number of PIMs per prescriptionFrom enrollment to the end of consultation at 30 minutes to 1 hourAverage number of PIMs in control arm minus Average number of PIMs in intervention arm Average = Number of PIMs ÷ Total number of prescriptions included in the respective arm (intervention/control)
Change in Proportion of prescriptions in which at least one PIM was deprescribedFrom enrollment to the end of consultation at 30 minutes to 1 hourProportion of prescriptions in which at least one PIM was deprescribed in the intervention arm minus Proportion of prescriptions in which at least one PIM was deprescribed in the control arm Proportion=Number of prescriptions in which at least one PIM was deprescribed ÷Total number of prescriptions included in the respective arm (intervention/control)
Change in Average number of Potential ADRs, Drug- Drug Interactions and Drug- Disease InteractionsFrom enrollment to the end of consultation at 30 minutes to 1 hourAverage number of Potential ADRs, Drug- Drug Interactions and Drug- Disease Interactions in the control arm minus Average number of Potential ADRs, Drug- Drug Interactions and Drug- Disease Interactions in the intervention arm Average: Number of Potential ADRs, Drug- Drug Interactions and Drug- Disease Interactions ÷ Total number of patients in the respective arm (intervention/control)
Change in Average number of Adverse Events at one month1 monthAverage number of Adverse Events in the control arm minus Average number of Adverse Events in the intervention arm Average: Number of Adverse Events÷ Total number of patients in the respective arm (intervention/control)

Countries

India

Contacts

Primary ContactRatinder Jhaj, DM
rati.pharm@aiimsbhopal.edu.in+917773002096
Backup ContactDr. Atiya Faruqui, MD
atiya.rf@stjohns.in+91 9980018022

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026