Promoting the Universal Medication Schedule Via Mobile and EHR Technologies

Not Applicable

Completed

• Conditions: Type 2 Diabetes
• Interventions: Other: UMS Strategy; Other: SMS Texting Reminders

• Registration Number: NCT02248857
• Lead Sponsor: Northwestern University

Brief Summary

The purpose of this study test the effectiveness of the Universal Medication Schedule (UMS), which was designed as a strategy to standardize and simplify medication instructions to support safe and effective prescription drug use among diabetic.

Detailed Description

Research has shown the UMS (1) improves patients' understanding of how much to take of a medicine and when, and (2) reduces the number of times per day patients would take a multi-drug regimen. In this study, UMS tools will be exported into a second electronic health record platform to demonstrate ease of dissemination. Also, as patients may require assistance outside of clinic visits to adapt their prescription regimen to the UMS, this study will test the potential benefit of daily short message service (SMS) text reminders via cell phone.

We will conduct a three-arm, provider-randomized controlled trial among English and Spanish-speaking adults taking three or more prescription drugs to evaluate the effectiveness of the UMS strategy, with and without SMS text reminders, to improve patient understanding, consolidation, and adherence compared to usual care.We will conduct a three-arm, provider-randomized trial at two community health centers in Chicago, IL to evaluate the UMS and UMS+SMS text reminder strategies compared to usual care. English and Spanish-speaking patients who are prescribed three or more medications will be recruited and assessed by phone at baseline, three months, and six months.

Study Timeline

• Study First Submitted: 2014-09-22
• Study First Submitted QC: 2014-09-22
• Study First Posted: 2014-09-25
• Study Start: 2014-12
• Primary Completion: 2016-12
• Study Completion: 2016-12
• Results First Submitted: 2017-12-21
• Status Verified: 2018-12
• Results First Submitted QC: 2018-12-10
• Last Update Submitted: 2018-12-10
• Results First Posted: 2019-03-25
• Last Update Posted: 2019-03-25

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 452

Inclusion Criteria

• diagnosis of type II diabetes
• age 30 or older
• taking 3 or more prescription medications for chronic conditions
• English or Spanish speaking

Read More

Exclusion Criteria

• self-reported severe, uncorrectable vision
• hearing impairment
• cognitive impairment
• not responsible for administering his/her own medications
• not able to receive text messages on their cell phone

Read More

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
UMS strategy + SMS texting reminders	SMS Texting Reminders	In addition to the components from the UMS strategy arm, patients will receive daily text reminders for 7 days, with the option of extending reminders, following a study medication prescription.
UMS strategy	UMS Strategy	Patients of providers randomized to the UMS arm will receive study-related educational tools at their primary care visit to support the understanding, regimen consolidation, and use of prescriptions. 1. Prescription instructions will be adapted to UMS to establish four standard time intervals for prescribing and dispensing of medicine. UMS instructions also use simplified text and numeric characters instead of words to detail dose. 2. Single-page, plain language medication information sheets with content from a patient's perspective and following health literacy best practices. 3. A list of their current medications each corresponding to a set of instructions and a checkbox for morning, noon, evening, and bedtime medicine to help patients visually depict when to take their medicines.
UMS strategy + SMS texting reminders	UMS Strategy	In addition to the components from the UMS strategy arm, patients will receive daily text reminders for 7 days, with the option of extending reminders, following a study medication prescription.

Primary Outcome Measures

Name	Time	Method
Prescription Understanding	6 months after baseline	Predictive probabilities of prescription understanding will be calculated based on patients' ability to correctly dose their prescription medications using unadjusted Generalized Estimating Equation models, specifying the binomial family and logit link, with medication as the unit of analysis. Correct dosing per medication will be scored as yes or no, reflecting having demonstrated all of the following: proper dose (# of pills), spacing (hours between doses), frequency (# of times per day), and total pills per day. Results are presented as predicted probabilities with 95% Confidence Intervals.

Secondary Outcome Measures

Name	Time	Method
Medication Adherence: Pill Count	6 months after baseline	Predictive probabilities of medication adherence will be calculated based on telephone pill counts using unadjusted Generalized Estimating Equation models, specifying the binomial family and logit link, with medication as the unit of analysis. Pills taken/pills prescribed will be calculated for each medication and scored as adherent for that medication if that score is between 80% and 120%. Results are presented as predicted probabilities with 95% Confidence Intervals.
Medication Knowledge	6 months after baseline	Predictive probabilities of medication knowledge will be calculated based on patients' ability to identify each medication's purpose and side effects, risks, warnings, and benefits using unadjusted Generalized Estimating Equation models, specifying the binomial family and logit link, with medication as the unit of analysis. Patients will be asked through a structured questionnaire about each of the above via structured, open-ended items. Each medication will be scored as correct/incorrect if the participant knew the purpose and could name at least 1 side effect, risk, or warning of the medication. Results are presented as predicted probabilities with 95% Confidence Intervals.
Medication Adherence: PMAQ	6 months after baseline	Predictive probabilities of medication adherence will be calculated based on a 4-item validated Patient Medication Adherence Questionnaire (PMAQ) using unadjusted Generalized Estimating Equation models, specifying the binomial family and logit link, with medication as the unit of analysis. The PMAQ assesses adherence behaviors by asking patients to self-report missed/wrong doses in past 4 days, scoring each medication as adherent for that medication if no missed doses were reported. Results are presented as predicted probabilities with 95% Confidence Intervals.
Medication Adherence: Pharmacy Records	6 months after baseline	Predictive probabilities of primary medication adherence will be calculated based on the proportion of days covered (PDC) with medication obtained from pharmacy records using unadjusted Generalized Estimating Equation models, specifying the binomial family and logit link, with medication as the unit of analysis. PDC is calculated by summing the number of days' supply obtained by a patient during a given time period and dividing by the number of days for which the patient was prescribed the medication. Each medication is scored as adherent if the patient was covered for that medication more than 80% of the time. Results are presented as predicted probabilities with 95% Confidence Intervals.

Trial Locations

Locations (1)

Northwestern University; 🇺🇸 Chicago, Illinois, United States