A Culturally Adapted Telecommunication System to Improve Physical Activity, Diet Quality, and Medication Adherence Among Hypertensive African–Americans: A Randomized Controlled Trial

2012 ◽  
Vol 43 (1) ◽  
pp. 62-73 ◽  
Author(s):  
Jeffrey P. Migneault ◽  
Julien J. Dedier ◽  
Julie A. Wright ◽  
Timothy Heeren ◽  
Marci Kramish Campbell ◽  
...  
2018 ◽  
Author(s):  
Lorraine R Buis ◽  
Katee Dawood ◽  
Reema Kadri ◽  
Rachelle Dawood ◽  
Caroline R Richardson ◽  
...  

BACKGROUND African Americans shoulder significant disparities related to hypertension (HTN), which is a serious public health problem in the city of Detroit, Michigan, where more than 80% of the population is African American. Connectivity through smartphones, use of home blood pressure (BP) monitoring, and newly developed mobile health (mHealth) interventions can facilitate behavioral changes and may improve long-term self-care for chronic conditions, but implementation of a combined approach utilizing these methods has not been tested among African American patients with uncontrolled HTN. Since African Americans are more likely than other racial or ethnic subgroups to utilize the emergency department (ED) for ambulatory care, this presents an opportunity to intervene on a population that is otherwise difficult to reach. OBJECTIVE The MI-BP app aims to reduce health disparities related to HTN in the community by employing a user-centered intervention focused on self-BP monitoring, physical activity, reduced sodium intake, and medication adherence. We seek to test the efficacy of MI-BP, an mHealth app for HTN self-management, on BP control (primary aim), physical activity, sodium intake, and medication adherence (secondary aim) in African Americans with HTN. This study also seeks to evaluate the cost-effectiveness of MI-BP when compared with usual care methods. METHODS This is a 1-year randomized controlled trial that will recruit individuals who have uncontrolled HTN from 2 EDs in the city of Detroit, with a planned sample size of 396 randomized participants. To be eligible for inclusion, potential participants must be African American, 25 to 70 years old, previously diagnosed with HTN, have a smartphone compatible with MI-BP, and have uncontrolled BP at triage and on repeat measurement at least 1-hour post triage vitals. Once a participant is deemed eligible, all study procedures and subsequent follow-up visits (8 in total) are conducted at the Wayne State University Clinical Research Service Center. We seek to determine the effect of MI-BP on BP for 1 year (using BP control and mean systolic BP as coprimary outcomes and physical activity, sodium intake, and medication adherence as secondary outcomes) compared with usual care controls. RESULTS Recruitment for this study began in January 2018. The study will continue through 2021. CONCLUSIONS As the first of its kind conducted in an ED setting, MI-BP was designed to document the efficacy and acceptability of a multicomponent mHealth approach to help African Americans with uncontrolled BP modify their lifestyle to better manage their HTN. We expect to lay the foundation to sustainably reduce HTN-related health disparities through better integration of multiple behavior self-monitoring and improve outcomes for those who traditionally rely on the ED for chronic disease care. CLINICALTRIAL ClinicalTrials.gov NCT02360293; http://clinicaltrials.gov/ct2/show/NCT02360293 INTERNATIONAL REGISTERED REPOR RR1-10.2196/12601


2019 ◽  
Author(s):  
Eric Finkelstein ◽  
Brett Doble ◽  
Felicia Jia Ler Ang ◽  
Wei Han Melvin Wong ◽  
Rob M. van Dam

Abstract Background Singapore’s front-of-pack (FOP) Healthier Choice Symbol (HCS) label is an easy to understand signal to consumers of how they can make a healthier choice within a given food category. We assess its effectiveness at influencing food purchases and diet quality.Methods Randomized controlled trial using a 3×3 within-subject crossover design with adult Singapore residents recruited online. Each participant shopped once in three conditions on an experimental online grocery store in random order: 1) no FOP control; 2) Similar to Arm 1 except select products displayed HCSs, as would occur in stores in Singapore; 3) Similar to Arm 2 with additional information displaying Physical Activity Equivalents (PAEs) per serving of each product. Participants with minimum of one control and one intervention condition shop were analyzed. First-differenced regressions on calories per serving (primary) and other measures of diet quality were used to compare purchasing behavior across conditions. Results From January 2019 to April 2019, 117 participants were randomized: 10 (8·5%) completed one shop; 2 completed two shops (1.7%); and 105 (89·7%) completed all three, resulting in 317 unique shops. The HCS, without PAEs, led to a statistically significant five-percentage point increase in the proportion of HCS products purchased. However, we could not reject the null hypothesis of no difference in calories per serving in either HCS (95% CI, -10·63: 20·01) or when combined with PAEs (95% CI, -5·25: 21·54) or differences in any of the diet quality measures assessed.Conclusions The HCS influences purchasing patterns, but does not, either alone or in combination with a PAE label, appear to reduce caloric intake or improve overall diet quality. These findings suggest that the HCS label, as currently applied, may be the wrong label for addressing rising rates of obesity and non-communicable diseases in Singapore.


2019 ◽  
Author(s):  
Jan van Lieshout ◽  
Joyca Lacroix ◽  
Aart van Halteren ◽  
Martina Teichert

BACKGROUND Growing numbers of people use medication for chronic conditions; non-adherence is common, leading to poor disease control. A newly developed web-based tool to identify an increased risk for non-adherence with related potential individual barriers might facilitate tailored interventions and improve adherence. OBJECTIVE To assess the effectiveness of the newly developed tool to improve medication adherence. METHODS A cluster randomized controlled trial assessed the effectiveness of this adherence tool in patients initiating cardiovascular or oral blood glucose lowering medication. Participants were included in community pharmacies. They completed an online questionnaire comprising an assessments of their risk for medication non-adherence and subsequently of barriers to adherence. In pharmacies belonging to the intervention group, individual barriers displayed in a graphical profile on a tablet were discussed by pharmacists and patients at high non-adherence risk in face to face meetings and shared with their general practitioners and practice nurses. Tailored interventions were initiated by the healthcare providers. Barriers of control patients were not presented or discussed and these patients received usual care. The primary outcome was the difference in medication adherence at 8 months follow-up between patients with an increased non-adherence risk from intervention and control group, calculated from dispensing data. RESULTS Data from 492 participants in 15 community pharmacies were available for analyses (intervention 253, 7 pharmacies; control 239, 8 pharmacies). The intervention had no effect on medication adherence (-0.01; 95%CI -0.59 – 0.57; P= .96), neither in the post hoc per protocol analysis (0.19; 95%CI -0.50 – 0.89; P=.58). CONCLUSIONS This study showed no effectiveness of a risk stratification and tailored intervention addressing personal barriers for medication adherence. Various potential explanations for lack of effect were identified. These explanations relate for instance to high medication adherence in the control group, study power and fidelity. Process evaluation should elicit possible improvements and inform the redesign of intervention and implementation. CLINICALTRIAL The Netherlands National Trial Register: NTR5186. Date: May 18, 2015 (http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5186)


Sign in / Sign up

Export Citation Format

Share Document