scholarly journals Acceptability of Intervention Design Factors in mHealth Intervention Research (Preprint)

10.2196/23303 ◽  
2020 ◽  
Author(s):  
Frank T Materia ◽  
Joshua M Smyth
Keyword(s):  
Intervention Research ◽  
Intervention Design ◽  
Mhealth Intervention ◽  
Design Factors

scholarly journals Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study (Preprint)

2020 ◽  
Author(s):  
Frank T Materia ◽  
Joshua M Smyth
Keyword(s):  
Behavior Change ◽  
Intervention Research ◽  
Intervention Design ◽  
Convenience Sample ◽  
Research Participants ◽  
Mhealth Intervention ◽  
Perceived Utility ◽  
Multiple Devices ◽  
The Impact ◽  
Design Factors

BACKGROUND With the growing interest in mobile health (mHealth), behavioral medicine researchers are increasingly conducting intervention studies that use mobile technology (eg, to support healthy behavior change). Such studies’ scientific premises are often sound, yet there is a dearth of implementational data on which to base mHealth research methodologies. Notably, mHealth approaches must be designed to be acceptable to research participants to support meaningful engagement, but little empirical data about design factors influencing acceptability in such studies exist. OBJECTIVE This study aims to evaluate the impact of two common design factors in mHealth intervention research—requiring multiple devices (eg, a study smartphone and wrist sensor) relative to requiring a single device and providing individually tailored feedback as opposed to generic content—on reported participant acceptability. METHODS A diverse US adult convenience sample (female: 104/255, 40.8%; White: 208/255, 81.6%; aged 18-74 years) was recruited to complete a web-based experiment. A 2×2 factorial design (number of devices×nature of feedback) was used. A learning module explaining the necessary concepts (eg, behavior change interventions, acceptability, and tailored content) was presented, followed by four vignettes (representing each factorial cell) that were presented to participants in a random order. The vignettes each described a hypothetical mHealth intervention study featuring different combinations of the two design factors (requiring a single device vs multiple devices and providing tailored vs generic content). Participants rated acceptability dimensions (interest, benefit, enjoyment, utility, confidence, difficulty, and overall likelihood of participating) for each study presented. RESULTS Reported interest, benefit, enjoyment, confidence in completing study requirements, and perceived utility were each significantly higher for studies featuring tailored (vs generic) content, and the overall estimate of the likelihood of participation was significantly higher. Ratings of interest, benefit, and perceived utility were significantly higher for studies requiring multiple devices (vs a single device); however, multiple device studies also had significantly lower ratings of confidence in completing study requirements, and participation was seen as more difficult and was associated with a lower estimated likelihood of participation. The two factors did not exhibit any evidence of statistical interactions in any of the outcomes tested. CONCLUSIONS The results suggest that potential research participants are sensitive to mHealth design factors. These mHealth intervention design factors may be important for initial perceptions of acceptability (in research or clinical settings). This, in turn, may be associated with participant (eg, self) selection processes, differential compliance with study or treatment processes, or retention over time. CLINICALTRIAL

U.S. Minority Homeless Youth’s Access to and Use of Mobile Phones: Implications for mHealth Intervention Design

2016 ◽  
Vol 21 (7) ◽  
pp. 725-733 ◽  
Author(s):  
Larissa Jennings ◽  
Nicole Lee ◽  
Deborah Shore ◽  
Nancy Strohminger ◽  
Burgundi Allison ◽  
...  
Keyword(s):  
Mobile Phones ◽  
Intervention Design ◽  
Mhealth Intervention

scholarly journals Promoting Physical Activity Among Adolescents: Recommendations From Correlation Research (La promoción de la actividad físicas entre los adolescentes: recomendaciones a partir de la investigación correlacional)

Retos ◽  
2015 ◽  
pp. 184-189 ◽  
Author(s):  
Paula Louise Bush ◽  
Cathy MacDonald
Keyword(s):  
Physical Activity ◽  
Environmental Factors ◽  
Influencing Factors ◽  
Physical Environment ◽  
Intervention Research ◽  
Intervention Design ◽  
Age Group ◽  
Potential Importance ◽  
School And Community

Abstract. Adolescents are not meeting physical activity (PA) guidelines for health and, although there has been much PA intervention research for this age group, most studies have had only a small effect on teens’ PA. Many have observed that teenagers’ PA is determined by a complex array of intrapersonal, interpersonal, and family, school, and community environmental factors. We sought to update previous reviews of correlates of adolescent PA, focusing exclusively on modifiable correlates of adolescents’ PA to suggest avenues for PA promotion intervention design. Based on our findings from twenty studies exploring correlates among international samples of adolescents, we suggest that parent and peer PA and support of adolescents’ PA are important influencing factors to consider when designing PA promotion interventions for teenagers. Moreover, limited work suggests the potential importance of physical environment modifications.Resumen. Los adolescentes no están cumpliendo con las recomendaciones de actividad física (AF) para la salud y, aunque ha habido mucha investigación en la intervención de AF para este grupo de edad, la mayoría de los estudios han tenido sólo un pequeño efecto sobre la AF de los adolescentes. Muchos han observado que la AF de los adolescentes está determinada por una compleja serie de factores intrapersonales, interpersonales, del contexto familiar y escolar y de la comunidad. Hemos tratado de actualizar las revisiones previas de los correlatos de la AF en los adolescentes, centrándonos exclusivamente en los correlatos modificables de AF de los adolescentes para sugerir ideas en el diseño de intervenciones de promoción de la AF. En base a los resultados de veinte estudios que exploraron las correlaciones entre muestras internacionales de adolescentes, se sugiere que la AF de los padres y los compañeros y el apoyo de ambos a la AF de los adolescentes son factores de influencia importantes a considerar en el diseño de intervenciones de promoción de la AF para los adolescentes. Por otra parte, algunas investigaciones sugieren la importancia potencial de modificaciones en el entorno físico. 

scholarly journals Computerised cognitive training in Parkinson’s disease: a protocol for a systematic review and updated meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e040656
Author(s):  
Hanna Malmberg Gavelin ◽  
Magdalena Domellöf ◽  
Isabella Leung ◽  
Anna Stigsdotter Neely ◽  
Carsten Finke ◽  
...  
Keyword(s):  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Function ◽  
Cognitive Training ◽  
Risk Of Bias ◽  
Effect Sizes ◽  
Motor Symptom ◽  
Intervention Design ◽  
Design Factors

IntroductionCognitive impairment is recognised as an important non-motor symptom in Parkinson’s disease (PD) and there is a need for evidence-based non-pharmacological interventions that may prevent or slow cognitive decline in this patient group. One such intervention is computerised cognitive training (CCT), which has shown efficacious for cognition across older adult populations. This systematic review aims to investigate the efficacy of CCT across cognitive, psychosocial and functional domains for people with PD and examine study and intervention design factors that could moderate CCT effects on cognition.Methods and analysisRandomised controlled trials investigating the effects of CCT in patients with PD without dementia, on cognitive, psychosocial or functional outcomes, will be included. The primary outcome is overall cognitive function. Secondary outcomes are domain-specific cognitive function, psychosocial functioning and functional abilities. We systematically searched MEDLINE, Embase and PsycINFO through 14 May 2020 to identify relevant literature. Risk of bias will be assessed using the revised Cochrane Risk of Bias tool. Effect sizes will be calculated as standardised mean difference of baseline to postintervention change (Hedges’ g) with 95% CI for each eligible outcome measure. Pooling of outcomes across studies will be conducted using random-effects models, accounting for dependency structure of effect sizes within studies. Heterogeneity will be assessed using τ2 and I2 statistic. Potential moderators, based on key study and intervention design factors, will be investigated using mixed-effects meta-regression models.Ethics and disseminationNo ethical approval is required. The findings will be disseminated in a peer-reviewed scientific journal.PROSPERO registration numberCRD42020185386.

scholarly journals Khuluma: Using Participatory, Peer-Led and Digital Methods to Deliver Psychosocial Support to Young People Living With HIV in South Africa

2021 ◽  
Vol 3 ◽  
Author(s):  
Millicent Atujuna ◽  
Nikita Simpson ◽  
Malebo Ngobeni ◽  
Tebogo Monese ◽  
Danielle Giovenco ◽  
...  
Keyword(s):  
South Africa ◽  
Pilot Study ◽  
Young People ◽  
Mobile Technology ◽  
Psychosocial Support ◽  
Intervention Design ◽  
Focus Group Discussions ◽  
Group Discussions ◽  
Mhealth Intervention ◽  
Living With Hiv

Khuluma is a psychosocial and peer-to-peer mHealth intervention that uses text messaging to facilitate support groups for adolescents living with HIV (ALWH) with the aim of contributing toward positive health outcomes. Although use of mobile technology in the form of mHealth interventions has proliferated recently in the field of health, published literature describing methods and processes of its application are limited. We present a set of methods and processes utilised to develop and pilot the Khuluma mHealth intervention amongst young people (15–20 years) in South Africa. We recruited and enrolled 52 adolescents (15–20-year olds) from four clinics in Pretoria and Cape Town to participate in a 6-month pilot of Khuluma. Participants were ALWH, aware of their status, on antiretroviral therapy for more than 12 months, and not suffering from severe depression. We conducted four pre and post intervention focus group discussions (FGDs) with a proportion of ALWH (n = 36) enrolled in the pilot study using participatory methods. Several processes were utilised to then implement this pilot study. These included engaging ALWH for minor study implementation modifications; forming virtual groups; activating the mHealth platform; facilitating and delivering the Khuluma intervention. The acceptability of the intervention was informed by follow-up focus group discussions and text message data. The initial participatory processes helped to tailor the intervention design to participants' needs. The peer-led facilitation of the groups allowed for the provision of sensitive psychosocial support that allowed young people to express themselves freely, develop a sense of self-worth, and interact more. The nature of the mobile technology also allowed participants to build friendships beyond their geographic area and interact with their peers in real time. Within the evolving context of COVID-19, establishing evidence-based processes and methods for intervention design and curation in virtual spaces is critical.

mHealth intervention design

2016 ◽  
Author(s):  
Anthony Smith ◽  
Kristy de Salas ◽  
Benjamin Schüz ◽  
Stuart G Ferguson ◽  
Ian Lewis
Keyword(s):  
Intervention Design ◽  
Mhealth Intervention

scholarly journals Exploring Real-World mHealth Use for Diabetes Consultations: Pros and Pitfalls of a Pragmatic Mixed-Methods Approach

2021 ◽  
Author(s):  
Meghan Bradway ◽  
Eirik Årsand
Keyword(s):  
Mixed Methods ◽  
Data Sharing ◽  
Feasibility Study ◽  
Real World ◽  
Diabetes Care ◽  
Intervention Research ◽  
Mixed Methods Approach ◽  
Mhealth Intervention

Intervention research is often highly controlled and does not reflect real-world situations. More pragmatic approaches, albeit less controllable and more challenging, offer the opportunity of identifying unexpected factors and connections. As the introduction of mHealth into formal diabetes care settings is relatively new and less often explored from the perspectives of patients and providers together, such an opportunity for exploration should be embraced. In this paper we demonstrate our experiences and results in designing and administering a pragmatic mixed-methods feasibility study to understand the impacts of a diabetes data-sharing system on patients and providers. In doing so, we aim to provide a realistic account of the pros and pitfalls of this approach to diabetes mHealth intervention research.

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