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Social Engagement Strategies to Improve Medication Adherence

Social Engagement Strategies to Improve Medication Adherence Among Older Adults in Los Angeles Count Participating in MyMeds

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03734887
Enrollment
43
Registered
2018-11-08
Start date
2019-10-31
Completion date
2022-07-01
Last updated
2023-01-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atherosclerosis Cardiovascular Disease, Congestive Heart Failure, Diabetes, Poor Medication Adherence

Brief summary

In this pilot study, investigators, in partnership with Resource Centers for Minority Aging Research (RCMAR) mentorship team and the MyMeds program, will enroll patients from MyMeds with diabetes, atherosclerotic cardiovascular disease, or congestive heart failure with poor medication adherence (medication adherence percentage\<80% for statin or antihypertensive therapy) who report having a least one loved one or friend (e.g., spouse) whom they consider to be invested in their health, and with whom they would be willing to share focused medical information about medication adherence in the form of text messages. Participants will be randomized into either a private feedback arm or social network arm. In the private feedback arm, participants will only receive private consultations from a pharmacist regarding their medication adherence rates. In the social network arm, participants and their chosen loved one or friend will receive bi-weekly feedback text messages regarding the participant's medication adherence. Investigators will evaluate the effects of this social network intervention on medication adherence and examine the program's acceptability among study participants. This proposal is innovative because it leverages social networks-largely unused in medical care-for health improvement.

Detailed description

MyMeds (Managing Your Medication for Education and Daily Support) is an innovative care improvement program that embeds pharmacists into 27 University of California, Los Angeles (UCLA) primary care practices with the goals of (1) simplifying and reconciling medication regimens; (2) identifying strategies to improve adherence; and (3) reducing patient costs with generic substitutions and drug assistance programs. This program targets complex older adults and adults with poorly-controlled diabetes of all ages, and has reached more than 7,000 patients since its implementation in 2012. In an evaluation of over 700 older adults (≥65 years-old) who received a MyMeds consultation, investigators showed that the program reduced hospitalizations. In another evaluation that included adults of all ages, investigators showed that MyMeds reduced emergency department use (21%), systolic blood pressure (4 mmHg), and HbA1c (0.8%). However, a major underused resource in efforts to improve the health of complex adults targeted by MyMeds is their social network. Social networks are cost-free and highly influential social relationships and interactions that influence behavior and conversely are influenced by a patient's behavior. Patients spend vastly more time interacting within their social networks than they do interacting with healthcare providers, and patients often share health information with supportive members of their social network. These interactions, which are often substantial in quantity, could be designed to beneficially influence a patient's ability to create and sustain healthy behavior change. Medication nonadherence, in particular, increases morbidity, mortality, and healthcare costs in patients with chronic disease, but the private (rather than public) nature of taking medications limits the exposure of medication nonadherence to influence from the social network. An appropriately designed social network intervention can shift the dynamic, and MyMeds is an ideal setting for this type of intervention because it has robust infrastructure for identifying eligible patients, enrolling them in a pilot study, and measuring outcomes. In this pilot study, investigators, in partnership with RCMAR mentorship team and the MyMeds program, will enroll patients from MyMeds with diabetes, atherosclerotic cardiovascular disease, or congestive heart failure with poor medication adherence (medication adherence percentage\<80% for statin or antihypertensive therapy) who report having a least one loved one or friend (e.g., spouse) whom they consider to be invested in their health, and with whom they would be willing to share focused medical information about medication adherence in the form of text messages. Participants will be randomized into either a private feedback arm or social network arm. In the private feedback arm, participants will only receive private consultations from a pharmacist regarding their medication adherence rates. In the social network arm, participants and their chosen loved one or friend will receive bi-weekly feedback text messages regarding the participant's medication adherence. Investigators will evaluate the effects of this social network intervention on medication adherence and examine the program's acceptability among study participants. This proposal is innovative because it leverages social networks-largely unused in medical care-for health improvement.

Interventions

BEHAVIORALSocial Network Feedback

Social networks are cost-free and highly influential social relationships and interactions that influence behavior and conversely are influenced by a patient's behavior. In addition to receiving a private text message regarding their medication adherence rate, participant's feedback will also be shared to a loved-one or friend that the participant is willing to share medical information with.

Participant will receive medication adherence feedback from a pharmacist at the start of the study.

Sponsors

University of California, Los Angeles
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Intervention model description

The intervention will enroll 70 patients over a 6-month period. Investigators will provide each patient with a smart pill bottle to sync medication use data with their phones and provide real-time data about adherence to study staff. After completing a baseline survey, investigators will confirm eligibility (including confirmation of loved ones' willingness to receive text messages), and randomize eligible patients to one of the two study arms. With synced data from the smart pill box, investigators will provide biweekly feedback about adherence in the form of a brief text message, including a comparison to the patient's adherence in the preceding week. Biweekly feedback will be provided for 12 weeks and semi-structured interviews will be performed among a random subsample of participants afterward.

Eligibility

Sex/Gender
ALL
Age
50 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* age \> 50 years * non-adherence to a statin or antihypertensive medication in the preceding 3 months * access to a phone with text messaging capabilities, Bluetooth connections and internet access. * at least one loved-one or friend with whom adherence feedback can be shared * ability to speak English or Spanish

Exclusion criteria

* Any recorded A1c values of \>6.5% * ICD-9 billing codes of 250.xx * Use of any antiglycemic medication * Current or past participation in the Diabetes prevention Program prior to providing informed consent

Design outcomes

Primary

MeasureTime frameDescription
Change of Medication Adherence Rate2 weeks, 4 weeks, 6 week, 8 weeks, 10 weeks, and 12 weeksRate at which participant is taking their medication. Outcome would be measured bi-weekly using a smart pill bottle and syncing data using blue-tooth capable phones.

Secondary

MeasureTime frameDescription
Use of Technology for Health assessed by a short questionnaireBaselinePatients will be asked whether they use tablets, smartphones, or other mobile technology.
Change of diet composition assessed by a dietary questionnaireBaseline, 12 weeksA short dietary questionnaire will be used to assess fruit, vegetable, fat, fiber, and sweetened beverage intake. For pragmatic reasons, longer food frequency questionnaire and 24 hour dietary recalls will be avoided because they may be too time consuming to complete.
Change of physical activity assessed using items from IPAQ-SBaseline, 12 weeksInvestigators will measure frequency, duration and intensity of patient's physical activity using items from the International Physical Activity Questionnaire short form (IPAQ-S).
Change of depressive symptoms assessed using CES-D surveyBaseline, 12 weeksInvestigators will measure depressive symptoms using the CES-D, a validated scale based on the diagnostic criteria for major depressive disorder.
Change in Quality of Life measured by PROMIS-29Baseline, 12 weeksAssessed using PROMIS-29 survey.
Change of smoking behavior assessed using the California Tobacco SurveyBaseline, 12 weeksInvestigators will use measures adapted from the California Tobacco Survey. During follow-up, investigators will ask about smoking cessation, quit attempts, reduction in daily
Change of self-efficacy and motivation assessed using PAM instrumentBaseline, 12 weeksInvestigators will assess self-efficacy, outcome expectancy, motivation, and patient activation. Patient activation will be assessed with the Patient Activation Measure (PAM) (see Reddy et al, JGIM 2017)
Change of social support usages assessed by MSPSS instrumentBaseline, 12 WeeksInvestigators will measure social support with the Multidimensional Scale of Perceived Social Support (MSPSS) instrument.
Program Acceptability assessed by a random sub-sample of interviews12-weeksAfter the 12-week period, a random sub-sample of participants from both arms will be interviewed to measure the study's acceptability.
Change of medical history assessed using NHANES surveyBaseline, 12 weeksInvestigators will use questions from the NHANES

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026