Deprescribing: a Portrait and Out-comes of the Reduction of Polypharmacy in Portugal (DePil17-20)

February 15, 2018 updated by: Pedro Augusto Simões, University of Beira Interior
This study protocol comprises three phases. The first two phases will be nationwide and aim to evaluate the prevalence and patterns of polypharmacy and assess the barriers and facilitators of deprescribing perceived by older adults, as well as their willingness to be deprescribed and to self-medicate. The third and last phase will be a non-pharmacological randomised clinical study to measure the impact of enablement of older adults in their willingness to be deprescribed and related quality of life.

Study Overview

Status

Unknown

Intervention / Treatment

Detailed Description

Study design

This is a three-phase study:

  1. Cross-sectional, analytical study of the prevalence and patterns of polypharmacy, namely sociodemographic and clinical profiles (age, genre, area of residence and years of study) and about medication (number of drugs and their active component), in older adults attending Primary Care in Portugal.
  2. Cross-sectional, triangulation study of older adults' perception of Barriers to and Facilitators of Deprescribing, Willingness to be Deprescribed and Willingness to Self-medicate.
  3. Non-pharmacological randomised clinical study of the impact of enablement of older adults in their willingness to be Deprescribed and related Quality of Life.

Phase I: prevalence of polypharmacy in older adults attending primary care in Portugal Design Cross-sectional, analytical study.

Setting: Primary Care Centres in Portugal will be randomly selected from the five main-land Portuguese Healthcare Administrative Regions and two Autonomous Regions (Madeira and Azores), in order to obtain a national geographical representative sample.

Sample size Since the prevalence of polypharmacy in older adults is unknown, the investigators used as base of population all older adults in Portugal. For the study, the investigators used a 95% confidence interval (CI) and a maximum precision error of 5%, so a minimum of 385 patients should be recruited.

Study procedures This phase of the study starts in November 2017. General Practitioners (GPs) sampling is made according to existing files of previous projects adherent GPs, in other epidemiological studies. After the selection of GPs, those who accept to participate will recruit their own patients. Assuming that a GP will be able to include at least 6 patients in a 3-week period, a total of 65 GPs will be enrolled in the study: 21 in North of Portugal (31.7%), 16 in Centre of Portugal (24.7%), 18 in Lisbon-Tejo Valley (27.4%), 5 in Alentejo (8.4%), 3 in Algarve (4.3%), 1 in Azores (1.6%) and 1 in Madeira (1.9%) in accordance with the distribution of Portuguese old adult population (≥65 years) in Portugal according with Pordata (www.pordata.pt).

Enrolled GPs will be instructed to collect all necessary data about their patients meeting the eligibility criteria.

Data collection The collection of the data will occur in November 2017. GPs will be responsible for collecting all data about patients' sociodemographic characteristics, as well as morbidity and medication, during their consultations.

Data will be electronically stored in a database specifically designed for this study using MS Access 2010. Data will be encrypted and password protected. Information will be treated in strict confidentiality to protect the privacy of patients. The investigators will have no access to the data of the patient, except the one provided by the GP meaning that the only person to know who is being studied is the GP.

Before the collection of data, there will be online reunions with the GPs participating in the study.

Statistical analysis A descriptive analysis will be performed to all study variables, namely the number of valid observations, mean±SD, median and range for quantitative variables and absolute and relative frequencies for qualitative variables. Prevalence of polypharmacy (considering definition: ≥5 drugs vs ≥ the median number) will be calculated together with corresponding 95% CI. Moreover, the prevalence of polypharmacy will be estimated by subgroups, namely age, gender, residence area and formal education. Univariate analysis will be conducted to study the associations between those characteristics and polypharmacy using χ2 test (qualitative characteristics) or t test/Mann-Whitney (quantitative characteristics). Multiple logistic regressions will be carried out considering the presence of polypharmacy as the dependent variable and patients' characteristics as the independent variables in order to calculate odds ratio (ORs) and corresponding 95% CI. Total number of drugs taken by patient and their pharmacological classes will also be summarised together with 95% CI, and multiple regressions may be performed to analyse its association with patients' characteristics. All tests will be two-sided using a significance level of 0.05. Statistical analysis will be conducted using SPSS V.23.0 or higher.

Phase II: patients' perception of barriers to and facilitators of deprescribing, willingness to be deprescribed and actual self-medication in adult patients with polypharmacy attending primary care in Portugal Objectives To assert reasons and facilitators, willingness to be deprescribed and actual self-medication

Design Cross-sectional, analytical study.

Setting It will be the same of the phase I.

Sample size A minimum of 385 patients will be included in phase II in order to obtain a sample with a 95% CI and a maximum precision error of 5%.

Study procedures This phase of the study is expected to start in June 2018. Again, GPs sampling will be made according to existing files and those who accept to participate will recruit their own patients. Patients from phase I can be enrolled in phase II. Assuming that a GP will be able to include at least 6 patients in a 3-week period, a total of 65 GPs has to be enrolled in the study, with the same distribution of the phase I. Enrolled GPs will be instructed to invite all patients meeting the eligibility criteria.

Data collection The collection of the data will occur in June 2018. Patient's socio-demographic and clinical characteristics and medication will be registered using the same methodology as described in phase I. The investigators will also collect outcome measures of some tests.

Statistical analysis Descriptive statistics will be computed for all variables together with 95% CI whenever relevant and applicable. Associations between qualitative-independent variables will be tested using χ2 test. Comparisons between two or more independent groups regarding a quantitative variable are to be conducted using analysis of variance (ANOVA) or Kruskal-Wallis non-parametric test, if normality assumption is not met. ANCOVA may also be used to adjust for potential confounding factors. Associations between quantitative independent variables will be analysed using Pearson's or Spearman's correlation coefficient depending on normality assumption. All tests will be two-sided, considering a significance level of 0.05.

Phase III: impact of enablement of older adults in their willingness to deprescribe and quality of life Design Non-pharmacological randomised clinical study, intended to last for six months.

Setting Primary Care Centres in Portugal will be randomly selected from six Health Centres of Centre of Portugal (Aveiro, Castelo Branco, Coimbra, Guarda, Leiria and Viseu)

Sample size Will be created two groups with a minimum of 190 patients each (one will be the intervention group and the other the control).

Study procedures This phase of the study is expected to start in September 2019 and will last for 6 months.

Again, GPs sampling will be made according to existing files and those who accept to participate will recruit their own patients. Patients from previous phases can be enrolled in phase III. Assuming that a GP will be able to include at least 6 patients, a total of 64 GPs has to be enrolled in the study. Enrolled GPs will be instructed to invite all patients meeting the eligibility criteria.

Two groups will be created with a minimum of 190 patients each, one of which will be composed from patients from the region of Aveiro, Coimbra and Guarda and the other from patients from the region of Castelo Branco, Leiria and Viseu. In the intervention group the investigators will give enablement tools and talks with their GPs about how to issue the problem of polypharmacy. The information given in this group will result from the knowledge obtained in phase II in the shape of small leaflets and other information materials to be made according to the best practice, to be given and remembered at scheduled times to the intervention group.

Data collection The collection of the data will occur in the beginning and end of phase II. Patient's socio-demographic and clinical characteristics and medication will be registered using the same methodology as described in phase I. The investigators will also collect outcome measures of applied tests.

Statistical analysis Descriptive statistics will be computed for all variables together with 95% CI whenever relevant and applicable. Associations between qualitative-independent variables will be tested using χ2 test. Comparisons between two or more independent groups regarding a quantitative variable are to be conducted using analysis of variance (ANOVA) or Kruskal-Wallis non-parametric test, if normality assumption is not met. ANCOVA may also be used to adjust for potential confounding factors. Associations between quantitative independent variables will be analysed using Pearson's or Spearman's correlation coefficient depending on normality assumption. All tests will be two-sided, considering a significance level of 0.05.

Study Type

Interventional

Enrollment (Anticipated)

380

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

65 years and older (Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients attending to the primary care consultation in the selected health centres.

Exclusion Criteria:

  • Being acutely unwell in the last three weeks
  • Refuse to participate

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Elderly Enablement
The investigators will give enablement tools and talks with their GPs about how to issue the problem of polypharmacy.
The information given in this group will result from the knowledge obtained in previous phase of the study in the shape of small leaflets and other information materials to be made according to the best practice, to be given and remembered at scheduled times to the intervention group
No Intervention: Control
This will be the control group.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Willingness to be deprescribed after the intervention with open-questions
Time Frame: six months
Assess the enablement of older adults while being Deprescribed in the rise of Willingness to be Deprescribed with two open-questions (one to assess the facilitators and the other to assess the barriers) together with their perception of medication (Beliefs about Medicines Questionnaire).
six months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Quality of life after the intervention with EQ-5D
Time Frame: six months
Assess the enablement of older adults while being Deprescribed in the rise of their Quality wtih EuroQol Five Dimensions Questionnaire (EQ-5D)
six months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Pedro Augusto Simões, Master, University of Beira Interior

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

September 1, 2019

Primary Completion (Anticipated)

April 1, 2020

Study Completion (Anticipated)

April 1, 2020

Study Registration Dates

First Submitted

September 8, 2017

First Submitted That Met QC Criteria

September 13, 2017

First Posted (Actual)

September 14, 2017

Study Record Updates

Last Update Posted (Actual)

February 19, 2018

Last Update Submitted That Met QC Criteria

February 15, 2018

Last Verified

February 1, 2018

More Information

Terms related to this study

Other Study ID Numbers

  • UBIMED2017

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Polypharmacy

Clinical Trials on Elderly Enablement

Subscribe