Dataset Information

Electronic Pill Bottles or Bidirectional Text Messaging to Improve Hypertension Medication Adherence (Way 2 Text): a Randomized Clinical Trial.

ABSTRACT:

Background

Poor medication adherence contributes to inadequate control of hypertension. However, the value of adherence monitoring is unknown.

Objective

To evaluate the impact of monitoring adherence with electronic pill bottles or bidirectional text messaging on improving hypertension control.

Design

Three-arm pragmatic randomized controlled trial.

Patients

One hundred forty-nine primary care patients aged 18-75 with hypertension and text messaging capabilities who were seen at least twice in the prior 12 months with at least two out-of-range blood pressure (BP) measurements, including the most recent visit.

Interventions

Patients were randomized in a 1:2:2 ratio to receive (1) usual care, (2) electronic pill bottles for medication adherence monitoring (pill bottle), and (3) bidirectional text messaging for medication adherence monitoring (bidirectional text).

Main measures

Change in systolic BP during the final 4-month visit compared with baseline.

Key results

At the 4-month follow-up visit, mean (SD) change values in systolic blood pressure were - 4.7 (23.4) mmHg in usual care, - 4.3 (21.5) mmHg in the pill bottle arm, and - 4.6 (19.8) mmHg in the text arm. There was no significant change in systolic blood pressure between control and the pill bottle arm (p = 0.94) or the text messaging arm (p = 1.00), and the two intervention arms did not differ from each other (p = 0.93).

Conclusions

Despite good measured adherence, neither feedback with electronic pill bottles nor bidirectional text messaging about medication adherence improved blood pressure control. Adherence to prescribed medications was not improved enough to affect BP control or it was not the primary driver of poor control.

Trial registration

clinicaltrials.gov (NCT02778542).

SUBMITTER: Mehta SJ

PROVIDER: S-EPMC6848522 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Electronic Pill Bottles or Bidirectional Text Messaging to Improve Hypertension Medication Adherence (Way 2 Text): a Randomized Clinical Trial.

Mehta Shivan J SJ Volpp Kevin G KG Troxel Andrea B AB Day Susan C SC Lim Raymond R Marcus Noora N Norton Laurie L Anderson Sophia S Asch David A DA

Journal of general internal medicine 20190808 11

<h4>Background</h4>Poor medication adherence contributes to inadequate control of hypertension. However, the value of adherence monitoring is unknown.<h4>Objective</h4>To evaluate the impact of monitoring adherence with electronic pill bottles or bidirectional text messaging on improving hypertension control.<h4>Design</h4>Three-arm pragmatic randomized controlled trial.<h4>Patients</h4>One hundred forty-nine primary care patients aged 18-75 with hypertension and text messaging capabilities who ...[more]

PMID: 31396815

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Project description:BackgroundHypertension (HTN) is a major public health concern in the United States, with almost 78 million Americans age 20 years and over suffering from the condition. Moreover, HTN is a key risk factor for health disease and stroke. African Americans disproportionately shoulder the burdens of HTN, with greater prevalence, disease severity, earlier onset, and more HTN-related complications than age-matched whites. Medication adherence for the treatment of HTN is poor, with estimates indicating that only about half of hypertensive patients are adherent to prescribed medication regimens. Although no single intervention for improving medication adherence has emerged as superior to others, text message medication reminders have the potential to help improve medication adherence in African Americans with uncontrolled HTN as mobile phone adoption is very high in this population.ObjectiveThe purpose of this two-phased study was to develop (Phase I) and test in a randomized controlled trial (RCT) (Phase II) a text message system, BPMED, to improve the quality of medication management through increasing medication adherence in African Americans with uncontrolled HTN.MethodsIn Phase I, we recruited 16 target end-users from a primary care clinic, to assist in the development of BPMED through participating in one of three focus groups. Focus groups sought to gain patient perspectives on HTN, medication adherence, mobile phone use, and the use of text messaging to support medication adherence. Potential intervention designs were presented to participants, and feedback on the designs was solicited. In Phase II, we conducted two pilot RCTs to determine the feasibility, acceptability, and preliminary efficacy of BPMED in primary care and emergency department settings. Both pilot studies recruited approximately 60 participants, who were randomized equally between usual care and the BPMED intervention.ResultsAlthough data collection is now complete, data analysis from the two pilot RCTs is still ongoing and results are expected in 2015.ConclusionsThis study was designed to determine preliminary feasibility and acceptability of our approach among African Americans with uncontrolled HTN in primary care and emergency department settings. Results from these studies are of great interest as little work has been done to document the use of text message medication reminders to improve HTN-related outcomes, particularly within underserved urban minorities.Trial registrationClinicaltrials.gov NCT01465217; https://clinicaltrials.gov/ct2/show/NCT01465217 (Archived by WebCite at http://www.webcitation.org/6V0tto0lZ).

Project description:BackgroundFree-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel mobile messaging apps. These text data are rich resources for clinical purposes, but their sheer volume render them difficult to manage. Even automated approaches, such as natural language processing, require labor-intensive manual classification for developing training data sets. Automated approaches to organizing free-text data are necessary to facilitate use of free-text communication for clinical care.ObjectiveThe aim of this study was to apply unsupervised learning approaches to (1) understand the types of topics discussed and (2) learn medication-related intents from messages sent between patients and providers through a bidirectional text messaging system for managing participant blood pressure (BP).MethodsThis study was a secondary analysis of deidentified messages from a remote, mobile, text-based employee hypertension management program at an academic institution. We trained a latent Dirichlet allocation (LDA) model for each message type (ie, inbound patient messages and outbound provider messages) and identified the distribution of major topics and significant topics (probability >.20) across message types. Next, we annotated all medication-related messages with a single medication intent. Then, we trained a second medication-specific LDA (medLDA) model to assess how well the unsupervised method could identify more fine-grained medication intents. We encoded each medication message with n-grams (n=1-3 words) using spaCy, clinical named entities using Stanza, and medication categories using MedEx; we then applied chi-square feature selection to learn the most informative features associated with each medication intent.ResultsIn total, 253 participants and 5 providers engaged in the program, generating 12,131 total messages: 46.90% (n=5689) patient messages and 53.10% (n=6442) provider messages. Most patient messages corresponded to BP reporting, BP encouragement, and appointment scheduling; most provider messages corresponded to BP reporting, medication adherence, and confirmatory statements. Most patient and provider messages contained 1 topic and few contained more than 3 topics identified using LDA. In total, 534 medication messages were annotated with a single medication intent. Of these, 282 (52.8%) were patient medication messages: most referred to the medication request intent (n=134, 47.5%). Most of the 252 (47.2%) provider medication messages referred to the medication question intent (n=173, 68.7%). Although the medLDA model could identify a majority intent within each topic, it could not distinguish medication intents with low prevalence within patient or provider messages. Richer feature engineering identified informative lexical-semantic patterns associated with each medication intent class.ConclusionsLDA can be an effective method for generating subgroups of messages with similar term usage and facilitating the review of topics to inform annotations. However, few training cases and shared vocabulary between intents precludes the use of LDA for fully automated, deep, medication intent classification.International registered report identifier (irrid)RR2-10.1101/2021.12.23.21268061.

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Dataset Information

Electronic Pill Bottles or Bidirectional Text Messaging to Improve Hypertension Medication Adherence (Way 2 Text): a Randomized Clinical Trial.

Background

Objective

Design

Patients

Interventions

Main measures

Key results

Conclusions

Trial registration

Publications

Electronic Pill Bottles or Bidirectional Text Messaging to Improve Hypertension Medication Adherence (Way 2 Text): a Randomized Clinical Trial.

Similar Datasets

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