Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05461196 |
Other study ID # |
28226 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 12, 2021 |
Est. completion date |
August 1, 2022 |
Study information
Verified date |
August 2023 |
Source |
Continuous Precision Medicine |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Background: Cesarean delivery is one of the most common obstetric procedures experienced
among women who are pregnant.1 Women with Cesarean deliveries have a higher rate of
peripartum opioid prescriptions and persistent opioid use compared to those with vaginal
deliveries.2 Since 2002, prescription opioid use and misuse has significantly increased among
women, including those who are pregnant, showing over 31% increase in past-month heroin use
among women of childbearing age.3 This indicates the importance of focusing on maternal
population for prescribed opioid medication management during the immediate postpartum period
to prevent long-term persistent opioid misuse. Few evidence-based approaches are available to
remotely manage prescription opioid use post-discharge.4 Recent advances in mobile technology
have made it possible to monitor behavior and maintain communication in near real-time, long
after patients are discharged from their surgical procedures.5-7 Using a virtual platform via
use of mobile technology offers potential for sustainable implementation of a behavioral
intervention and patient-provider communication even during the COVID-19 pandemic.8
Continuous Precision Medicine (CPM™; Research Triangle Park, NC) has developed a mobile app
to overcome these barriers for tracking pain and pain medication use among post-surgery
patients and tested the logistical and technological feasibility in postpartum patients at
Temple OB/GYN. Collectively, our team brings expertise and collaborations between Temple
University Hospital, RTI International, and CPM for the following Specific Aims:
Aim 1: To examine the preliminary impact of the CPM mobile app to reduce the use of opioids
among women post-Cesarean surgery Hypothesis 1: Patients using the CPM application will use
fewer Morphine Milligram Equivalents (MME) compared to the blister package group.
Aim 2: To establish correlates of pain medication use among women post-Cesarean surgery to
estimate the appropriate recommendable dosages per model. Hypothesis 2: Structural and
intermediary social determinants such as younger age, lower socioeconomic status, violence
and trauma exposure, substance use disorder, and mental and physical health issues will be
associated with more opioid medication use.
Description:
Experimental Design: A randomized pilot trial will be conducted with 100 females at Temple
University Hospital immediately post-Cesarean delivery. The women will be randomized (1:1) to
either: using the CPM mobile app and electronic monitoring blister packs (experimental group)
or to blister packs only (control group). The primary outcome is Morphine Milligram
Equivalents (MME). Secondary outcomes will be delay to dosages and pain scores. We will
examine whether a mobile application found feasible by post-surgery patients and healthcare
professionals has a preliminary impact on opioid medication use among women who are
immediately postpartum and had Cesarean surgery. The CPM application provides patients with a
detailed prescription regimen, allows a patient to report dose-by-dose pain scores, and helps
the patient consider whether a dose is needed via gamification, and creates usage
traceability for clinicians to reduce over-prescription. Linear regression, including ANOVA
and repeated mixed models will be used to compare groups on the primary continuous outcomes
of daily MME during the 10-day period. The initial models will only include a term for study
group. Variables that are statistically significant (<0.05) by univariate analyses, as well
as theoretically important covariates will be considered for inclusion in adjusted analyses
to improve their precision. Pain scores as a secondary continuous outcome will be evaluated
using regression models for linear and non-linear mixed effect models. If no significant
differences in these outcomes were detected, resampling Bootstrap method will be used to
estimate effect sizes (i.e., Cohen's d) and its 95% confidence intervals, considering
potential non-normal distribution of data. Further, we will utilize structural equation
modeling (SEM) for its greater flexibility and capacity of handling the structural
relationship between measured variables and latent constructs.