scholarly journals Comparing Mobile Health Strategies to Improve Medication Adherence for Veterans With Coronary Heart Disease (Mobile4Meds): Protocol for a Mixed-Methods Study

2017 ◽  
Vol 6 (7) ◽  
pp. e134
Author(s):  
Linda G Park ◽  
Eileen G Collins ◽  
Janet K Shim ◽  
Mary A Whooley
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Mixed Methods ◽  
Medication Adherence ◽  
Mobile Health ◽  
Mixed Methods Study ◽  
Improve Medication Adherence

scholarly journals Evaluating Reach, Acceptability, Utility, and Engagement with An App-Based Intervention to Improve Medication Adherence in Patients with Coronary Heart Disease in the MedApp-CHD Study: A Mixed-Methods Evaluation

2019 ◽  
Vol 7 (6) ◽  
pp. 68 ◽  
Author(s):  
Karla Santo ◽  
Anna Singleton ◽  
Clara K Chow ◽  
Julie Redfern
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Mixed Methods ◽  
Medication Adherence ◽  
Analytical Data ◽  
Improve Medication Adherence ◽  
Mixed Methods Evaluation ◽  
Patient Screening ◽  
Clinical Measurements ◽  
Medication Reminder

Objective: The aim of this study was to assess the reach, acceptability, utility, and engagement with the apps that were used in the MEDication reminder APPlications (apps) to improve medication adherence in Coronary Heart Disease (MedApp-CHD) study, a randomised clinical trial to improve medication adherence, using a mixed-methods approach. Methods: The MedApp-CHD study randomised 163 patients with coronary heart disease (CHD) to one of three groups: (i) usual care (n = 56), (ii) a basic medication reminder app (n = 54), or (iii) an advanced medication reminder app (n = 53). For this mixed-methods evaluation, the data sources included patient screening logs, feedback questionnaires collected at three-month follow-up, focus groups discussions, and analytical data from the app software. Results: Ninety-four percent (98/104) of participants who received a medication reminder app completed the three-month feedback questionnaire and 15 participated in the focus group discussions. The themes that were identified included that participants (i) found the medication reminders useful in reminding them to take the medications on the correct time every day, (ii) liked having the medication list as an easily-accessible record of medications’ names and dosages, (iii) reported being likely to continue to use the apps after the study completion, (iv) would be likely to recommend the apps to their family and friends, and (v) those who used the clinical measurements feature found it useful as a tool to track and graph the blood pressure and glucose levels over time (especially those with diabetes and/or hypertension). In addition, analytical data from the app software demonstrated that the participants used the medication-related features more than the clinical measurements feature. Furthermore, data from the patient screening logs showed that the main reason for exclusion, other than not meeting the CHD criteria, was not having a suitable smartphone, and those that were excluded for this reason were older and had a higher proportion of females than those enrolled in the study. Conclusion: This study provides important insights regarding the features that are most useful in apps that aim to improve medication adherence. This mixed-methods evaluation suggests that, currently, young male patients with CHD are more likely to use such apps, that the apps were well-accepted and useful in reminding the patients to take the medications, and that the patients were engaged in regularly using the apps.

Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study

2020 ◽  
Vol 29 (5) ◽  
pp. 696-702 ◽  
Author(s):  
Robyn Gallagher ◽  
Helen Parker ◽  
Ling Zhang ◽  
Ann Kirkness ◽  
Kellie Roach ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Mixed Methods ◽  
Mobile App ◽  
Target Audience ◽  
Mixed Methods Study ◽  
Disease Specific

Medication reminder applications to improve adherence in coronary heart disease: a randomised clinical trial

Heart ◽  
2018 ◽  
Vol 105 (4) ◽  
pp. 323-329 ◽  
Author(s):  
Karla Santo ◽  
Anna Singleton ◽  
Kris Rogers ◽  
Aravinda Thiagalingam ◽  
John Chalmers ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medication Adherence ◽  
Usual Care ◽  
Mean Difference ◽  
Care Group ◽  
Improve Medication Adherence ◽  
Significant Difference ◽  
Medication Reminder

ObjectiveThe aim of the MEDication reminder APPs to improve medication adherence in Coronary Heart Disease Study was to evaluate the effectiveness and feasibility of using publicly available high-quality medication reminder applications (apps) to improve medication adherence compared with usual care in patients with coronary heart disease (CHD). An additional aim was to examine whether an app with additional features improved adherence further.MethodsPatients with CHD (n=163) were randomised to one of three groups: (1) usual care, (2) a basic app or (3) an advanced app with interactive/customisable features. The primary analysis compared usual care versus app use on the primary outcome of the 8-item Morisky Medication Adherence Scale (MMAS-8) at 3 months. Secondary outcomes included blood pressure and cholesterol levels.ResultsThe mean age was 57.9 years and 87.7% were male. At 3 months, patients using an app had higher adherence (mean MMAS-8 score 7.11) compared with the usual care group (mean MMAS-8 score 6.63) with a mean difference between groups of 0.47 (95% CI 0.12 to 0.82, p=0.008). There was no significant difference in patients using the basic app versus the advanced app (mean difference −0.16, 95% CI −0.56 to 0.24, p=0.428). There were no significant differences in secondary clinical outcome measures.ConclusionPatients with CHD who used medication reminder apps had better medication adherence compared with usual care, and using apps with additional features did not improve this outcome further. These data suggest medication apps are likely to help patients with chronic health conditions adhere to medicines, but further examination of whether such benefits are sustained is warranted.Clinical trial registration numberACTRN12616000661471; Results.

scholarly journals Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study

2021 ◽  
Vol 18 (12) ◽  
pp. 6670
Author(s):  
Shilpa Surendran ◽  
Chang Siang Lim ◽  
Gerald Choon Huat Koh ◽  
Tong Wei Yew ◽  
E Shyong Tai ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Mixed Methods ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Mobile Health ◽  
Quantitative Data ◽  
Perceived Usefulness ◽  
Mixed Methods Study ◽  
Self Awareness ◽  
Usage Behavior

The prevalence of gestational diabetes mellitus (GDM) is increasing, and only a few mobile health (mHealth) applications are specifically designed to manage GDM. In this mixed-methods study, a follow-up study of a randomized controlled trial (RCT) analyzed a largely automated mHealth application-based lifestyle coaching program to (a) measure the application’s usage behavior and (b) explore users’ perceptions of its usefulness in GDM management. Quantitative data were collected from the 170 application users who had participated in the intervention arm of the RCT. Semi-structured interviews (n = 14) captured users’ experiences when using the application. Data were collected from June 2019 to January 2020. Quantitative data were analyzed descriptively, and interviews were analyzed thematically. Only 57/170 users (34%) logged at least one meal, and only 35 meals on average were logged for eight weeks because of the incorrectly worded food items and limited food database. On the contrary, an average of 1.85 (SD = 1.60) weight values were logged per week since the weight tracking component was easy to use. Many users (6/14 (43%)) mentioned that the automatic coach messages created an immediate sense of self-awareness in food choices and motivated behavior. The findings suggest that for GDM management, a largely automated mHealth application has the potential to promote self-awareness of healthy lifestyle choices, reducing the need for intensive human resources. Additionally, several gaps in the application’s design were identified which need to be addressed in future works.

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