Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review

Matthew-Maich, Nancy; Harris, Lauren; Ploeg, Jenny; Markle‐Reid, Maureen; Valaitis, Ruta; Ibrahim, Sarah; Gafni, Amiram; Isaacs, Sandy

doi:10.2196/mhealth.5127

Cited by 345 publications

(297 citation statements)

References 77 publications

(162 reference statements)

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“…The combination of actual experiences and perceived problems of patients and healthcare professionals [25], and the balance of lay knowledge and scientific knowledge [14], are two challenges development teams face in improving mHealth design. Effectively collaborating among stakeholders with differing interests is a consistent research finding in an existing literature review by Matthew-Maich et al [27]. Yet the mutual benefit for healthcare providers to support patient empowerment in disease selfmanagement is the reduced need for active, real-time feedback by healthcare professionals, thus lowering financial expenditure, improving access and long-term sustainability [16].…”

Section: Tension Between Healthcare Provider and Healthcare Consumermentioning

confidence: 69%

“…They developed a digital technology even knowing that rural patients may not have reliable internet access and therefore adapted their design to require internet access for download only [24]. Consistent with the existing scoping literature review by Matthew-Maich, Harris [27], recommendations from research findings and theoretical perspectives support the need for user-centred design approaches in mHealth development benefiting usability and feasibility.…”

Section: User-centred Mhealth Design In Person-centred Healthcarementioning

confidence: 77%

See 1 more Smart Citation

The development of consumer mHealth interventions for chronic condition self-management: A systematic review.

Woods¹,

Duff²,

Cummings³

et al. 2017

Preprint

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Section: Tension Between Healthcare Provider and Healthcare Consumermentioning

confidence: 69%

Section: User-centred Mhealth Design In Person-centred Healthcarementioning

confidence: 77%

The development of consumer mHealth interventions for chronic condition self-management: A systematic review.

Woods¹,

Duff²,

Cummings³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…There was an unintentional increase in older and female users; therefore, special instruction should be provided to subgroups with a low level of literacy or e-literacy [10]. In addition, comprehensive assessment is required to consider enduser's physical conditions and preparedness prior to implementing the mHealth intervention [39]. In addition, clinicians should be prepared to satisfy mHealth care needs of older adults, both clinically and technically.…”

Section: Discussionmentioning

confidence: 99%

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

Kim¹,

Park²,

Lee³

et al. 2018

Preprint

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Background: Although 90% of older Korean adults have at least one chronic disease, most self-management interventions are clinic-based, delivered through face-to-face education, and highly focused on disease information only in South Korea. Therefore, older Koreans living in the community continue to seek an adjunct to manage chronic disease by themselves and expect mobile health (mHealth) to meet their healthcare needs in daily life.Objective: This feasibility study (1) developed an mHealth protocol to empower older adults to manage their chronic diseases at home, (2) examined the feasibility of the mHealth intervention using mobile tablets and applications (apps), and (3) discussed contextual and methodological challenges when applying an mHealth intervention for older Koreans with chronic diseases. Methods:The mHealth intervention protocol was developed based on the eHealth Enhanced Chronic Care Model. Our mHealth intervention included four phases. Phase 1 included mobile tablet training and standardized technology training with guidebooks, demonstrations, and guided practice. Phase 2 included standardized information for disease management retrieved from both governmental and professional healthcare organizations. Phase 3 included training to use the pre-selected high-quality mHealth apps to consider types of individuals' chronic disease. Phase 4 included encouragement to practice self-selected mHealth apps based on their individual needs. Quantitatively descriptive and qualitative content analyses of user evaluation were completed to assess feasibility and user acceptance. Results: Among the 27 older adults, 25 completed mHealth training for 4 weeks. The attrition rate was 7.4% (2/27), due to time conflicts, emotional distress, and/or family discouragement. The men required little or no time for Phase 1, while the women seemed to depend on the interventionists for Phase 3. At least 4 weeks with weekly meetings were required to complete training of the mHealth intervention. Sex, educational level, and previous experience using smartphones were associated with learning speed, confidence, and competence.Conclusions: A highly person-centered approach is required to implement mHealth interventions for older adults. Self-management of chronic diseases via mHealth requires careful consideration regarding the complex nature of human behavior, emotional response, and family influence; therefore, integrating a theoretical-clinical-technical approach is necessary for successful implementation and higher effectiveness among older adults.

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“…Most papers outlining mHealth solutions discussed the products designed for use by patients and or healthcare providers. In sum, the study suggests a limited yet increasing use of mHealth in home healthcare for older adults, with recommendations for mHealth products that are more user-centered and collaborative to better enhance feasibility, acceptability, and usability, 35 based on methodologies found in the fields of human factors engineering and human computer interaction.…”

Section: Accepted M Manuscriptmentioning

confidence: 97%

Consumer Health Informatics: Empowering Healthy-Living-Seekers Through mHealth

Faiola

Holden

2017

Progress in Cardiovascular Diseases

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People are at risk from noncommunicable diseases (NCD) and poor health habits, with interventions like medications and surgery carrying further risk of adverse effects. This paper addresses ways people are increasingly moving to healthy living medicine (HLM) to mitigate such health threats. HLM-seekers increasingly leverage mobile technologies that enable control of personal health information, collaboration with clinicians/other agents to establish healthy living practices. For example, outcomes from consumer health informatics research includes empowering users to take charge of their health through active participation in decision -making about healthcare delivery. Because the success of health technology depends on its alignment/integration with a person's sociotechnical system, we introduce SEIPS 2.0 as a useful conceptual model and analytic tool. SEIPS 2.0 approaches human work (i.e., life's effortful activities) within the complexity of the design and implementation of mHealth technologies and their potential to emerge as consumer-facing NLM products that support NCDs like diabetes.

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Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review

Cited by 345 publications

References 77 publications

The development of consumer mHealth interventions for chronic condition self-management: A systematic review.

The development of consumer mHealth interventions for chronic condition self-management: A systematic review.

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

Consumer Health Informatics: Empowering Healthy-Living-Seekers Through mHealth

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