Qualitative Evaluation of a Mobile Phone and Web-Based Collaborative Care Intervention for Patients with Type 2 Diabetes

Lyles, Courtney R.; Harris, Lynne T.; Le, Tung Thanh; Flowers, Jan; Tufano, James T.; Britt, Diane; Hoath, James; Hirsch, Irl B.; Goldberg, Harold I.; Ralston, James D.

doi:10.1089/dia.2010.0200

Cited by 105 publications

(109 citation statements)

References 18 publications

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“…10 Lyles et al interviewed T2DM users about their experience with a mobile-and web-based collaborative care intervention. 11 Although users valued the ease of uploading blood glucose readings from their meter to their mobile phone, they experienced technical difficulties with the smartphones they were given for the study. 11 Without learning about and addressing this type of feedback, technical issues may prevent users from experiencing an intervention's value.…”

Section: Introductionmentioning

confidence: 99%

“…To date, the majority of studies examining diabetes users' opinions of mHealth interventions have assessed helpfulness and satisfaction quantitatively with close-ended self-report scales. 14,15 Although some studies have collected qualitative feedback, study samples have been small 8,11,16 or based on a short intervention duration (i.e., 2-4 weeks). 7,17 Therefore, we conducted interviews using both quantitative and qualitative questions to understand T2DM users' experiences with and opinions of a 3-month text messaging and interactive voice response (IVR) intervention called MEssaging for Diabetes (MED).…”

Section: Introductionmentioning

confidence: 99%

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mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis

Nelson

Mulvaney

Johnson

et al. 2017

Diabetes Technology & Therapeutics

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Background: Mobile health (mHealth) interventions are improving the medication adherence of adults with type 2 diabetes mellitus (T2DM), but few studies examine how users experience these interventions. Therefore, we used a mixed-methods approach to understand how T2DM users experience a text messaging and interactive voice response (IVR)-delivered medication adherence intervention called MEssaging for Diabetes (MED). Methods: Adults with T2DM used MED as part of a 3-month pilot study. MED sends daily tailored text messages addressing adherence barriers, daily assessment text messages asking about adherence, and weekly tailored IVR calls providing adherence feedback, encouragement, and questions to facilitate problem solving. Sixty participants completed feedback interviews. We used a mixed-methods approach to understand their experience, examining associations between participants' characteristics and their feedback. Results: Participants who completed feedback interviews were on average 50.0 -10.1 years old; 65% female, 62% non-white; 15% had less than a high school education, 70% had annual incomes less than $20K; and average hemoglobin A1c was 8.0% -1.9%. Participants rated each intervention element favorably; common reasons for MED's helpfulness included receiving novel information about diabetes medications, emotional support, and reminders to take medication. People who were younger and more recently diagnosed with T2DM had more favorable experiences using MED. In general, users valued text messages more than IVR calls. Conclusions: Consideration of the user experience is critical for developing engaging mHealth interventions.User feedback reveals what mHealth elements have the most value and why, which users to target, and how to optimize an intervention's utility and appeal.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis

Nelson

Mulvaney

Johnson

et al. 2017

Diabetes Technology & Therapeutics

View full text Add to dashboard Cite

show abstract

“…Effect of web-based patient monitoring and intervention in diabetes management was explored in different studies. Even though the web-based diary intervention improved the patient self-care, many patients expressed frustration over using the app multiple times every day [20].…”

Section: Web-based Diary Applicationsmentioning

confidence: 99%

Novel Health Mobile Technology as an Emerging Strategy in Diabetes Management

David¹,

Rafiullah²

2017

Case Study of Innovative Projects - Successful Real Cases

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Advances in mobile phone technology and its applications coupled with equally robust growth of telecommunication technology can serve to give patients a better access to the healthcare. More and more healthcare providers and patients started using these applications. Mobile applications are useful in handling various aspects of healthcare namely, health promotion and disease prevention, diagnosis, treatment, monitoring and supporting health services. Clinical studies evaluating mobile applications often come up with mixed results. In this chapter, application of mobile health technology or mHealth in diabetes management is presented as a case study. We have reviewed 25 articles from pubmed database that fulfilled our selection criteria which included original clinical studies that evaluated mobile health technology in the management of diabetes mellitus. Most studies (88%) reported positive outcomes after use of the mobile health applications in various aspects of diabetes treatment such as disease management, behavioural monitoring and patient education. Educational SMS were effective but inferior to Smartphone Apps or teleconsultations. User-friendliness of the systems influenced patient compliance and outcomes. Smartphone/web applications offer significant benefits for patient care, education and behavioural modifications. As providing continuous patient support would require adequate infrastructure and personnel, cost effectiveness of such interventions need to be studied.

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“…[8][9][10][11] Effective self-management of diabetes 12,13 can be supported by mobile health (m-health) applications (apps), enabling patients to communicate with healthcare providers regarding glucose levels, weight, and diet control. [14][15][16][17] The quality of m-health tools is problematic, however; few apps offer all of the features considered necessary for effective diabetes management, 18 and despite the high prevalence of diabetes and adoption rate of mobile phones in China, 19,20 knowledge about the quality of diabetes-related Chinese mobile apps is lacking. Here we explore the features and types of health information that Chinese diabetes mobile apps provide, and we suggest recommendations for their further development.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Chinese m-Health Applications for Diabetes Self-Management

Nie

Xie

Yang

et al. 2016

Telemedicine and e-Health

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Purpose: To examine the features and types of health information provided in Chinese diabetes mobile applications (apps) for patients' self-management. Materials and Methods: Through multiple rounds of screening, we identified a total of 95 relevant iOS (Apple, Cupertino, CA) and AndroidÔ (Google, Mountain View, CA) apps and examined each app's features and health information types based on each app's description in the app stores. We used a 15-feature algorithm to evaluate the apps' abilities for supporting diabetic patients' self-management, based on U.S. national standards for diabetes self-management. We also adapted the health information wants framework to analyze the types of information that the apps provided for diabetic patients. Results: Diabetes education was the most common feature, provided by 75% of the apps. Blood glucose checking was enabled by 65% of the apps. Diet management, insulin checking, and physical activity monitoring were enabled by 53%, 49%, and 44% of the apps, respectively. Only a small percentage of the apps enabled psychosocial support (29%) or tracking of blood pressure (14%), cholesterol (14%), or body mass index (11%). None of the apps provided all seven types of information posited by the health information wants framework. Only a small percentage of the apps provided information about psychosocial support (29%), healthcare providers (24%), or healthcare facilities (24%). Information about complementary and alternative medicine was the least likely type of information provided in the apps, with only 7% of the apps providing this type of information. Conclusions: Our findings have important implications for improving the quality of Chinese diabetes mobile apps to facilitate patients' self-management.

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Qualitative Evaluation of a Mobile Phone and Web-Based Collaborative Care Intervention for Patients with Type 2 Diabetes

Cited by 105 publications

References 18 publications

mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis

mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis

Novel Health Mobile Technology as an Emerging Strategy in Diabetes Management

Characteristics of Chinese m-Health Applications for Diabetes Self-Management

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