Preliminary Findings Describing Participant Experience With iSTEP, an mHealth Intervention to Increase Physical Activity and Improve Neurocognitive Function in People Living With HIV

Henry, Brook L.; Moore, David J.

doi:10.1016/j.jana.2016.01.001

Cited by 25 publications

(25 citation statements)

References 31 publications

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“…However, our scoping review also uncovered that users may also be willing to accept having to put in some level of effort for self-tracking. It is also worth noting that other studies on usability of eHealth have indicated that a positive attitude exists concerning self-tracking [ 77 - 79 ], inclusion of praise [ 80 ], personalization of goals [ 80 , 81 ], the ability to observe progress [ 80 ], use of validity-tested devices [ 78 ], and that not everyone is concerned with privacy issues [ 82 ].…”

Section: Discussionmentioning

confidence: 99%

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Lentferink¹,

Oldenhuis²,

Groot³

et al. 2017

J Med Internet Res

161

150

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BackgroundThe combination of self-tracking and persuasive eCoaching in automated interventions is a new and promising approach for healthy lifestyle management.ObjectiveThe aim of this study was to identify key components of self-tracking and persuasive eCoaching in automated healthy lifestyle interventions that contribute to their effectiveness on health outcomes, usability, and adherence. A secondary aim was to identify the way in which these key components should be designed to contribute to improved health outcomes, usability, and adherence.MethodsThe scoping review methodology proposed by Arskey and O’Malley was applied. Scopus, EMBASE, PsycINFO, and PubMed were searched for publications dated from January 1, 2013 to January 31, 2016 that included (1) self-tracking, (2) persuasive eCoaching, and (3) healthy lifestyle intervention.ResultsThe search resulted in 32 publications, 17 of which provided results regarding the effect on health outcomes, 27 of which provided results regarding usability, and 13 of which provided results regarding adherence. Among the 32 publications, 27 described an intervention. The most commonly applied persuasive eCoaching components in the described interventions were personalization (n=24), suggestion (n=19), goal-setting (n=17), simulation (n=17), and reminders (n=15). As for self-tracking components, most interventions utilized an accelerometer to measure steps (n=11). Furthermore, the medium through which the user could access the intervention was usually a mobile phone (n=10). The following key components and their specific design seem to influence both health outcomes and usability in a positive way: reduction by setting short-term goals to eventually reach long-term goals, personalization of goals, praise messages, reminders to input self-tracking data into the technology, use of validity-tested devices, integration of self-tracking and persuasive eCoaching, and provision of face-to-face instructions during implementation. In addition, health outcomes or usability were not negatively affected when more effort was requested from participants to input data into the technology. The data extracted from the included publications provided limited ability to identify key components for adherence. However, one key component was identified for both usability and adherence, namely the provision of personalized content.ConclusionsThis scoping review provides a first overview of the key components in automated healthy lifestyle interventions combining self-tracking and persuasive eCoaching that can be utilized during the development of such interventions. Future studies should focus on the identification of key components for effects on adherence, as adherence is a prerequisite for an intervention to be effective.

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Section: Discussionmentioning

confidence: 99%

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Lentferink¹,

Oldenhuis²,

Groot³

et al. 2017

J Med Internet Res

161

150

View full text Add to dashboard Cite

show abstract

“…The healthcare providers, while emphasizing on the self-management of HIV/AIDS, state that the best practice in this program is to register patients’ information to manage their own conditions as much as possible ( 40 , 41 ). The mobile-based self-management system includes formal features designed to empower PLWH to record their health conditions and collaborate with health care providers.…”

Section: Discussionmentioning

confidence: 99%

“…One major problem with HIV condition management is ensuring PLWH treatment tracking including prevention/interventions programs, medication, and clinical checkups until finishing point. HIV positive people should be adherent to the medication regimens because the lack of timely administration of drugs leads to more resistance to the virus and therefore, the drugs should be prescribed in higher doses, which would increase the cost and side effects ( 40 ). Technical capabilities of a mobile-based self-management system can be very helpful by giving reminders and engaging patients in therapeutic activities ( 41 ).…”

Section: Discussionmentioning

confidence: 99%

Common elements and features of a mobile-based self-management system for people living with HIV

et al. 2018

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BackgroundIn recent years, mobile-based applications have become important technologies to the delivery of healthcare around the world. Mobile-based self-management systems with standard features for providing, evaluating, and improving HIV care are significantly required in developing countries.ObjectiveTo determine the common elements of a mobile-based self-management system for people living with HIV (PLWH).MethodsThis cross-sectional study was done in two main phases in 2017. In the first phase, a review was conducted in relevant databases such as; PubMed, Scopus, Up To Date, and Web of Science. The keywords used to search for resources were as follows; Self-care, Self-management, Data elements, Minimum data set, Mobile application, Mobile health, and HIV/AIDS. In the second phase, the infectious diseases specialists and health information managers affiliated with Tehran University of Medical Sciences were consulted to score identified elements by a questionnaire. Frequency and mean of collected data were calculated using SPSS software (version 19).ResultsBy full-text reviewing of 9 related articles, the identified elements were justified in 3 main categories and 37 subcategories including: clinical data elements (17), technical capabilities (12) and demographic data elements (8). According to the findings, among the clinical category, 11 data elements were selected by the statistical population. Among the identified technical capabilities, 11 features were selected. Moreover, 6 data elements were selected as the demographic category.ConclusionWe obtained data elements and technical capabilities of a mobile-based self-management system for people living with HIV. Using these elements and features, designing of self-management system architecture will be possible. Self-management skills of PLWH and their communication with healthcare providers will improve by using this system.

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“…For example, Moore et al (2017b) showed using ecological momentary assessment in a sample of middle-aged PLWH that 32% of their time was spent engaging in passive leisure activity (e.g., watching television) compared to only 5% of their time which was spent engaging in physical exercise. Given the links between neurocognition and physical activity in PLWH (Fazeli et al 2015;Fazeli et al 2014;McDermott et al 2017), more research is needed to see if interventions designed to increase physical activity (see Henry and Moore (2016) for an example) and improve diet may further reverse MetS components as well as the related-cognitive consequences.…”

Section: Discussionmentioning

confidence: 99%

Association of HIV serostatus and metabolic syndrome with neurobehavioral disturbances

et al. 2020

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Preliminary Findings Describing Participant Experience With iSTEP, an mHealth Intervention to Increase Physical Activity and Improve Neurocognitive Function in People Living With HIV

Cited by 25 publications

References 31 publications

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Common elements and features of a mobile-based self-management system for people living with HIV

Association of HIV serostatus and metabolic syndrome with neurobehavioral disturbances

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