- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06522698
Optimizing Research Data Acquisition With Smart Pill Bottles (SPB)
Optimizing Research Data Acquisition With Smart Pill Bottles: A Feasibility and Implementation Study
The goal of this clinical trial is to learn if smart pill bottles can be used as a tool to optimize data collection in clinical trials by increasing the quality of data collected and limiting the associated cost. The main questions it aims to answer are:
Is the use of smart pill bottles a feasible method of data collection in clinical trials in terms of patient adherence.
Is the data collected by the smart pill bottles of higher quality than that collected through human resources? What is the impact of the use of smart pill bottles on the costs involved in clinical trials ?
Researchers will collect data on postoperative opioid medication consumption with the smart pill bottle and assess the adherence of patients to the device along with the quality of data collected and the costs involved in the process.
Participants will:
Use the smart pill bottle to consume opioid medication following surgery for 3 months At the end of the 3 month period, the group will have filled out surveys detailing their opioid consumption, surgical pain and other relevant information.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Several studies involving harnessing new technology to approach data collection have suggested that a streamlined and automated method of collecting data through connected technology can help set up cohort studies more cost-effectively. Evaluating the use of a connected device as a research tool in clinical trials and comparing it with traditional data collection using human resources would provide valuable insights into its efficiency and effectiveness. Smart medication adherence monitoring devices are a novel technology that provides objective and granular medication utilization data along with engaging patients with their treatment. Particularly, the smart pill bottle (SPB) is a rapidly developing technology that allows for medication monitoring of solid doses with the use of electronic sensors that can collect data on medication usage in real time and offer direct communication between patients and healthcare professionals or trialists. SPBs have shown efficacy in monitoring compliance and possibly increasing medication adherence in the clinical setting and the technology has been suggested as a potential research tool that would allow automatic collection of granular and precise data on the time of medication intake, dose, and frequency. However, there hasn't been a trial comparing the efficacy of using SPBs for data collection in clinical trials versus the traditional method reliant on human resources in comparable contexts. Based on the properties of SPBs and available literature supporting the automatization and streamlining of data in clinical trials, the investigators believe that the use of these devices may allow data collection of higher quality regarding granularity, number of losses of follow-up, completeness, missing data points along with a reduction of costs incurred by avoiding the use of human resources.
The aim of this study is to evaluate the feasibility of using smart pill bottles (SPBs) to optimize data collection in the context of randomized control trials.
The project will be a prospective observational study conducted at the CIUSSS-de-l'Est-de-l'Île-de-Montréal (Hôpital Maisonneuve-Rosemont) over a period of 6 to 12 months.
To do so, 155 patients undergoing major abdominal surgery with postoperative opioid medication prescription will be recruited. These patient's medication consumption will be monitored with the use of a smart pill bottle for a duration of 90 days. The results of this cohort will be compared with a historical cohort from a previous study conducted within the same hospital network. The protocol for the current trial was purposefully designed to be comparable to that of this historical cohort.
A loan of 50 SPBs will be obtained from Thess Corporate (Company producing smart pill bottles).
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Pascal Laferriere-Langlois, MD, MSc
- Phone Number: +1-819-432-5847
- Email: pascal.laferriere-langlois@umontreal.ca
Study Contact Backup
- Name: Nadia Godin, NR
- Phone Number: 3193 514-252-3400
- Email: ngodin.hmr@ssss.gouv.qc.ca
Study Locations
-
-
Quebec
-
Montréal-Est, Quebec, Canada, H1T2M4
- Maisonneuve-Rosemont Hospital - CIUSSS de l'Est de l'Île de Montréal
-
Contact:
- Pascal Laferriere-Langlois, MD, MSc
- Phone Number: +1-819-432-5847
- Email: pascal.laferriere-langlois@umontreal.ca
-
Principal Investigator:
- Pascal Laferriere-Langlois, MD, MSc
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- All consenting adult patients (age >17 years) undergoing major abdominal surgery via laparotomy (any open surgery involving the abdominal compartment or its wall, excluding appendectomies, inguinal hernia repairs, abdominal wall hernia repairs, and incisional hernia repairs)
Exclusion Criteria:
- Patients enrolled in the historical cohort (POCAS study)
- Patients currently participating in another study
- Patients planned to undergo additional surgery within 90 days after the surgery
- Patients who do not understand French or English.
- Patients planned to be redirected to a secondary care or rehabilitation establishment following discharge
- Patients with diagnosed cognitive impairment
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Smart Pill Bottle Data Collection Group
Group of patients in which data on postoperative opioid medication consumption will be collected through the use of smart pill bottles.
|
Patients in the intervention group will have their opioid medication consumption monitored through a smart pill bottle that records medication usage and streamlines the data into an online platform accessible by the medical staff.
This group will also fill out surveys delivered through the smart pill bottle's online platform.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Patient adherence to data collection method
Time Frame: 3 months
|
The percentage of patients that will have used the smart pill bottle (SPB) until the end of the 90-day period or until the absence of pain, as opposed to any change in medication intake strategy that results in ceasing the use of the SPB.
(High percentage is a better outcome)
|
3 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The quality of data acquired through the SPBs
Time Frame: 3 months
|
The granularity of data acquired, the preciseness of data points, the number of loss of follow-up compared with the historical cohort from the POCAS study which collected data from a comparable patient group through human resources.
|
3 months
|
|
The costs incurred from carrying out the project
Time Frame: 3 months
|
The costs incurred from carrying out the project compared with the historical cohort from the POCAS study which collected data from a comparable patient group through human resources.
|
3 months
|
|
The time for recruitment of patients
Time Frame: Up to12 months
|
The time for recruitment of patients compared with the historical cohort from the POCAS study which collected data from a comparable patient group through human resources.
(Lower time is a better outcome)
|
Up to12 months
|
|
Prevalence of persistent opioid consumption 90 days after surgery
Time Frame: 7 days
|
Persistent opioid consumption (POC) 90 days after surgery as reported by the SPBs.
POC will be defined as consumption of any quantity of opioids in the 7 days prior to the 90-day interrogation.
This definition will be accurate for both preoperative chronic and non-chronic opioid users.
(Higher rate of persistent consumption is a worse outcome)
|
7 days
|
|
Prevalence of Chronic post-surgical pain 90 days after surgery
Time Frame: 7 days
|
The presence of chronic post-surgical pain (CPSP) in the 7 days prior to the interrogation (interrogation occurs at 90 days post-op).
CPSP will be defined as any pain at the surgical site for patients who had pain at that site before surgery (by 1 point on the general numerical pain scoring question of the BPI questionnaire) (12).
|
7 days
|
|
Change in Quality of Life
Time Frame: 3 months
|
The change in the reported quality of life at 90 days post-op.
QOL will be measured as a continuous variable on the SF-12 questionnaire.
|
3 months
|
Collaborators and Investigators
Investigators
- Principal Investigator: Pascal Laferriere-Langlois, MD, MSc, Ciusss de L'Est de l'Île de Montréal
Publications and helpful links
General Publications
- Cleeland CS, Ryan KM. Pain assessment: global use of the Brief Pain Inventory. Ann Acad Med Singap. 1994 Mar;23(2):129-38.
- Schug SA, Lavand'homme P, Barke A, Korwisi B, Rief W, Treede RD; IASP Taskforce for the Classification of Chronic Pain. The IASP classification of chronic pain for ICD-11: chronic postsurgical or posttraumatic pain. Pain. 2019 Jan;160(1):45-52. doi: 10.1097/j.pain.0000000000001413.
- Richebe P, Capdevila X, Rivat C. Persistent Postsurgical Pain: Pathophysiology and Preventative Pharmacologic Considerations. Anesthesiology. 2018 Sep;129(3):590-607. doi: 10.1097/ALN.0000000000002238.
- Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. doi: 10.1111/j.1532-5415.2005.53221.x. Erratum In: J Am Geriatr Soc. 2019 Sep;67(9):1991. doi: 10.1111/jgs.15925.
- Catala-Lopez F, Aleixandre-Benavent R, Caulley L, Hutton B, Tabares-Seisdedos R, Moher D, Alonso-Arroyo A. Global mapping of randomised trials related articles published in high-impact-factor medical journals: a cross-sectional analysis. Trials. 2020 Jan 7;21(1):34. doi: 10.1186/s13063-019-3944-9.
- Vinkers CH, Lamberink HJ, Tijdink JK, Heus P, Bouter L, Glasziou P, Moher D, Damen JA, Hooft L, Otte WM. The methodological quality of 176,620 randomized controlled trials published between 1966 and 2018 reveals a positive trend but also an urgent need for improvement. PLoS Biol. 2021 Apr 19;19(4):e3001162. doi: 10.1371/journal.pbio.3001162. eCollection 2021 Apr.
- Setia MS. Methodology Series Module 1: Cohort Studies. Indian J Dermatol. 2016 Jan-Feb;61(1):21-5. doi: 10.4103/0019-5154.174011.
- Toledano MB, Smith RB, Brook JP, Douglass M, Elliott P. How to Establish and Follow up a Large Prospective Cohort Study in the 21st Century--Lessons from UK COSMOS. PLoS One. 2015 Jul 6;10(7):e0131521. doi: 10.1371/journal.pone.0131521. eCollection 2015.
- Barrera-Valencia C, Perea-Florez EX. Comparison of Costs in Teledermatology Using PC and Camera Versus Smartphone. Telemed J E Health. 2024 Apr 26. doi: 10.1089/tmj.2023.0369. Online ahead of print.
- Pavlovic I, Miklavcic D. Web-based electronic data collection system to support electrochemotherapy clinical trial. IEEE Trans Inf Technol Biomed. 2007 Mar;11(2):222-30. doi: 10.1109/titb.2006.879581.
- Zijp TR, Touw DJ, van Boven JFM. User Acceptability and Technical Robustness Evaluation of a Novel Smart Pill Bottle Prototype Designed to Support Medication Adherence. Patient Prefer Adherence. 2020 Mar 20;14:625-634. doi: 10.2147/PPA.S240443. eCollection 2020.
- Aldeer M, Javanmard M, Martin RP. A Review of Medication Adherence Monitoring Technologies. Applied System Innovation. 2018; 1(2):14. https://doi.org/10.3390/asi1020014
- Schwed A, Fallab CL, Burnier M, Waeber B, Kappenberger L, Burnand B, Darioli R. Electronic monitoring of compliance to lipid-lowering therapy in clinical practice. J Clin Pharmacol. 1999 Apr;39(4):402-9. doi: 10.1177/00912709922007976.
- Ellsworth GB, Burke LA, Wells MT, Mishra S, Caffrey M, Liddle D, Madhava M, O'Neal C, Anderson PL, Bushman L, Ellison L, Stein J, Gulick RM. Randomized Pilot Study of an Advanced Smart-Pill Bottle as an Adherence Intervention in Patients With HIV on Antiretroviral Treatment. J Acquir Immune Defic Syndr. 2021 Jan 1;86(1):73-80. doi: 10.1097/QAI.0000000000002519.
- Toscos T, Drouin M, Pater JA, Flanagan M, Wagner S, Coupe A, Ahmed R, Mirro MJ. Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e-prescribing software, and patient communication through the electronic health record. JAMIA Open. 2020 Apr 28;3(2):233-242. doi: 10.1093/jamiaopen/ooaa007. eCollection 2020 Jul.
- Huo T, Guo Y, Shenkman E, Muller K. Assessing the reliability of the short form 12 (SF-12) health survey in adults with mental health conditions: a report from the wellness incentive and navigation (WIN) study. Health Qual Life Outcomes. 2018 Feb 13;16(1):34. doi: 10.1186/s12955-018-0858-2.
- Nafziger AN, Barkin RL. Opioid Therapy in Acute and Chronic Pain. J Clin Pharmacol. 2018 Sep;58(9):1111-1122. doi: 10.1002/jcph.1276. Epub 2018 Jul 9.
- Page MG, Kudrina I, Zomahoun HTV, Croteau J, Ziegler D, Ngangue P, Martin E, Fortier M, Boisvert EE, Beaulieu P, Charbonneau C, Cogan J, Daoust R, Martel MO, Neron A, Richebe P, Clarke H. A Systematic Review of the Relative Frequency and Risk Factors for Prolonged Opioid Prescription Following Surgery and Trauma Among Adults. Ann Surg. 2020 May;271(5):845-854. doi: 10.1097/SLA.0000000000003403. No abstract available.
- https://www.thess-corp.fr/
- Schirle L, Stone AL, Morris MC, Osmundson SS, Walker PD, Dietrich MS, Bruehl S. Leftover opioids following adult surgical procedures: a systematic review and meta-analysis. Syst Rev. 2020 Jun 11;9(1):139. doi: 10.1186/s13643-020-01393-8.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2025-3801
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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.
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