ClinicalTrials.gg
RecruitingNCT07114094Updated Aug 14, 2025

Development, Validation and Evaluation of a Deprescribing Tool

An interventional study of Deprescribing Tool in Elderly, sponsored by Indian Council of Medical Research. Recruiting at 2 sites in India. Open to participants aged 60 Years and older. Per ClinicalTrials.gov, last updated 2025-08-14.

Sponsored by Indian Council of Medical Research · Not applicable, Interventional, and Other

From the registry’s dates

  • Primary completion was expected by Feb 2026, 9 months ago, but the record still lists the study as recruiting.
  • Registered 3 months after the study started (first participant enrolled May 2025, registered Aug 2025).
  • Started May 2025; still recruiting 1 year 6 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
1,650
Allocation
Randomized
Ages
60 Years and older
Sex
All
01

Study 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)

Read the 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.

02

Conditions studied

  • Elderly

Keywords

  • Deprescribing Tool
  • Polypharmacy
  • Elderly
03

In context

Lead sponsor

Indian Council of Medical Research is the lead sponsor of 12 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

  • Patients not willing to participate in the study
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Sequential assignment
Masking
None (open label)
Enrollment
1,650 participants (estimated)

Study arms

  • No intervention
    Control Arm

    Prescribers in this arm will not use the Deprescribing Tool, and will prescribe as per routine practice.

  • Experimental
    Intervention Arm

    Prescribers in this arm will be trained in the use of the Deprescribing Tool and provided the Tool 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.

    Other: Deprescribing Tool

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.

06

What researchers measure

Primary outcomes

  1. Change in Proportion of prescriptions with at least one PIM

    Proportion 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)

    Time frame: From enrollment to end of consultation at 30 minutes to 1 hour

Secondary outcomes

  1. Change in Average number of PIMs per prescription

    Average 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)

    Time frame: From enrollment to the end of consultation at 30 minutes to 1 hour

  2. Change in Proportion of prescriptions in which at least one PIM was deprescribed

    Proportion 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)

    Time frame: From enrollment to the end of consultation at 30 minutes to 1 hour

  3. Change in Average number of Potential ADRs, Drug- Drug Interactions and Drug- Disease Interactions

    Average 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)

    Time frame: From enrollment to the end of consultation at 30 minutes to 1 hour

  4. Change in Average number of Adverse Events at one month

    Average 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)

    Time frame: 1 month

07

Study locations

2 of 2 sites recruiting
  • St. John's Medical College, Bangalore, India
    Bangalore, Karnataka 560034, India
    Recruiting
    • Dr. Atiya Faruqui Faruqui, MD · Contactatiya.rf@stjohns.in · +91 9980018022
    • Dr. Dinesh Kumar Meena, PhD · Contactdinesh.meena8989@gmail.com · +91 7094402215
    • Dr. Geetha Francis, MD · Sub investigator
    • Dr. Pretesh Kiran, MD · Sub investigator
    • Dr. Padmini Devi D, MD · Sub investigator
    • Dr. Mangala Rao, MD · Sub investigator
    • John Michael Raj, Msc · Sub investigator
    • Dr. Atiya Faruqui, MD · Principal investigator
  • All India Institute of Medical Sciences Bhopal
    Bhopal, Madhya Pradesh 462020, India
    Recruiting
    • Ratinder Jhaj, DM · Contactrati.pharm@aiimsbhopal.edu.in · +917773002096
    • Dr. Shubham Atal, MD · Contactshubham.pharm@aiimsbhopal.edu.in · +919926598685
    • Dr. Ajay Kumar Shukla, MD · Sub investigator
    • Dr. Shubham Atal, MD · Sub investigator
    • Dr. Mahadev Meena, MD · Sub investigator
    • Dr. Anindo Majumdar, MD · Sub investigator
    • Dr. Ratinder Jhaj, DM · Principal investigator
08

References and documents

Publications

  • Candeias C, Gama J, Rodrigues M, Falcao A, Alves G. Potentially Inappropriate Medications and Potential Prescribing Omissions in Elderly Patients Receiving Post-Acute and Long-Term Care: Application of Screening Tool of Older People's Prescriptions/Screening Tool to Alert to Right Treatment Criteria. Front Pharmacol. 2021 Oct 19;12:747523. doi: 10.3389/fphar.2021.747523. eCollection 2021. PubMed 34737705 ↗
  • By the 2023 American Geriatrics Society Beers Criteria(R) Update Expert Panel. American Geriatrics Society 2023 updated AGS Beers Criteria(R) for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2023 Jul;71(7):2052-2081. doi: 10.1111/jgs.18372. Epub 2023 May 4. PubMed 37139824 ↗
  • Bhagavathula AS, Vidyasagar K, Chhabra M, Rashid M, Sharma R, Bandari DK, Fialova D. Prevalence of Polypharmacy, Hyperpolypharmacy and Potentially Inappropriate Medication Use in Older Adults in India: A Systematic Review and Meta-Analysis. Front Pharmacol. 2021 May 19;12:685518. doi: 10.3389/fphar.2021.685518. eCollection 2021. PubMed 34093207 ↗
  • O'Mahony D, Cherubini A, Guiteras AR, Denkinger M, Beuscart JB, Onder G, Gudmundsson A, Cruz-Jentoft AJ, Knol W, Bahat G, van der Velde N, Petrovic M, Curtin D. STOPP/START criteria for potentially inappropriate prescribing in older people: version 3. Eur Geriatr Med. 2023 Aug;14(4):625-632. doi: 10.1007/s41999-023-00777-y. Epub 2023 May 31. PubMed 37256475 ↗
  • Renom-Guiteras A, Meyer G, Thurmann PA. The EU(7)-PIM list: a list of potentially inappropriate medications for older people consented by experts from seven European countries. Eur J Clin Pharmacol. 2015 Jul;71(7):861-75. doi: 10.1007/s00228-015-1860-9. Epub 2015 May 14. PubMed 25967540 ↗
  • Ibrahim K, Cox NJ, Stevenson JM, Lim S, Fraser SDS, Roberts HC. A systematic review of the evidence for deprescribing interventions among older people living with frailty. BMC Geriatr. 2021 Apr 17;21(1):258. doi: 10.1186/s12877-021-02208-8. PubMed 33865310 ↗
  • Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021 Jun;12(3):443-452. doi: 10.1007/s41999-021-00479-3. Epub 2021 Mar 10. PubMed 33694123 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started May 2025 (actual). Primary completion is estimated for Feb 2026, 9 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 3, 2025
First posted
Aug 11, 2025
StartActual
May 1, 2025
Primary completionEst.
Feb 2026
CompletionEst.
Sep 2026
Last update
Aug 14, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 14, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07114094
Lead sponsor
Indian Council of Medical Research
Collaborators
St Johns Medical College Hospital, Bangalore, India
Responsible party
Ratinder Jhaj (Professor, All India Institute of Medical Sciences) — Principal investigator
First posted
Aug 11, 2025
Start date
May 1, 2025
Primary completion
Feb 2026 (estimated)
Completion
Sep 2026 (estimated)
Last update
Aug 14, 2025

Study contacts

Ratinder Jhaj, DM
Contact
rati.pharm@aiimsbhopal.edu.in
+917773002096
Dr. Atiya Faruqui, MD
Contact
atiya.rf@stjohns.in
+91 9980018022
Dr. Jerin J Cherian, MD
study chair · Indian Council of Medical Research and Karolinska Institute, Sweden

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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