mHealth Approach Research Articles

Feedback based on health advice via tracing bracelet and smartphone in the management of blood pressure among hypertensive patients: A community-based RCT trial in Chongqing, China.

Lifestyle interventions have been recognized as a line of treatment for noncommunicable diseases. This study aimed to evaluate a bespoke mHealth approach to deliver personalized feedback to improve blood pressure and weight for hypertensive patients in community settings. A total of 307 participants, 50 from each community, were expected to be in the intervention or control group. A professional health facilitator was assigned for each of the 6 communities. The primary outcomes of the study are the reduction in blood pressure and weight at baseline and postintervention. Of 307 recruited, 192 participants (62.5%) completed the study (intervention: 104 and control: 88). There was no difference in attrition rates between the 2 groups (33.5% vs 41.9%, P = .291). After 6 month of intensive feedback intervention through the mHealth approach, patients had better blood pressure (133.4 ± 15.3 vs 139.7 ± 16.0) compared with control. People who were adherent to the intervention demonstrated a clinical benefit in weight and blood pressure.

Technological Proficiencies, Engagement, and Practical Considerations for mHealth Programs at an Urban Safety-Net Hospital Emergency Departments: Data Analysis.

BackgroundSafety-net emergency departments often serve as the primary entry point for medical care for low income predominantly minority patient populations. Herein, we sought to provide insight into the feasibility, technological proficiencies, engagement characteristics, and practical considerations for a mHealth intervention at a safety-net emergency department.ObjectiveWe aimed to analyze patient technological proficiency to understand the feasibility of and draw practical considerations for mobile phone technology (mHealth) solutions for patients with chronic disease served by safety-net emergency departments.MethodsWe analyzed data from a previous diabetes randomized clinical mHealth trial for a diabetes social support intervention. Patients from a safety-net emergency department with preexisting diabetes who used SMS text messages, owned a mobile phone, and with hemoglobin A1c levels >8.5% were enrolled. A text message–based mHealth program to improve disease self-management was provided to all patients. Supporters of patients were randomized to receive a mailed copy or mHealth-based curriculum designed to improve diabetes support. Among enrolled patients, we surveyed mobile technological capacity and frequency of use. We performed latent class analysis to identify classes of patients by level of technological proficiency and compared demographic characteristics between the latent classes to identify demographic subgroups that may require more training or tailoring of the mHealth approach. Study engagement between classes was assessed by comparing the mean number of text messages exchanged, loss to follow-up, and early termination.ResultsOf 1876 patients who were approached, 44.2% (n=829) of patients had a stable mobile phone and were able to use text messages. Among them 166 met the trial inclusion and enrolled, 90% (149/166) of the cohort were ethnically diverse. Significant variance was found in technology capacity and frequency of use. Our latent class analysis classified 75% (124/166) of patients as highly technologically proficient and 25% (42/166) patients as minimally technologically proficient. Age (P<.001) and level of education (P<.001) were associated with class membership. Highly technologically proficient patients were younger and had higher levels of education (45.74 years old; high school or more: 90%) than minimally technologically proficient patients (53.64 years old; high school or more: 18%). Highly technologically proficient participants exchanged a mean of 40 text messages with the system coordinators compared to a mean of 10 text messages by minimally technologically proficient patients (P<.001).ConclusionsThis study found that nearly half of the patients screened at the safety-net emergency department were equipped for an SMS text message–based mHealth intervention. In the small sample of patients who were enrolled, the majority were classified as highly technologically proficient. These highly proficient patients had greater study engagement. mHealth use in emergency departments may be an opportunity to improve health of ethnically diverse populations by pairing sophisticated chronic disease self-management program with SMS text message–based and traditional in-person interventions to reach patients through the method that is most familiar and comfortable.International Registered Report Identifier (IRRID)RR2-10.1016/j.cct.2019.03.003

Formative Assessment to Improve Cancer Screenings in American Indian Men: Native Patient Navigator and mHealth Texting.

Cancer screening rates among American Indian men remain low, without programs specifically designed for men. This paper describes the Community-Based Participatory Research processes and assessment of cancer screening behavior and the appropriateness of the mHealth approach for Hopi men’s promotion of cancer screenings. This Community-Based Participatory Research included a partnership with H.O.P.I. (Hopi Office of Prevention and Intervention) Cancer Support Services and the Hopi Community Advisory Committee. Cellular phone usage was assessed among male participants in a wellness program utilizing text messaging. Community surveys were conducted with Hopi men (50 years of age or older). The survey revealed colorectal cancer screening rate increased from 51% in 2012 to 71% in 2018, while prostate cancer screening rate had not changed (35% in 2012 and 37% in 2018). Past cancer screening was associated with having additional cancer screening. A cellular phone was commonly used by Hopi men, but not for healthcare or wellness. Cellular phone ownership increased odds of prostate cancer screening in the unadjusted model (OR 9.00, 95% CI: 1.11–73.07), but not in the adjusted model. Cellular phones may be applied for health promotion among Hopi men, but use of cellular phones to improve cancer screening participation needs further investigation.

A Health Behavior and Lifestyle Intervention Pilot Trial for Childbearing Adolescents

We pilot tested a multiple health behavior change (MHBC) intervention to improve breastfeeding rates, healthy eating/active living, and depression prevention among pregnant and parenting adolescent mothers. We also assessed utility of the MHBC mHealth approach by examining health behavior coaction and intervention acceptability. We used a longitudinal randomized controlled trial to compare the tablet-delivered momHealth to a control condition (usual care). Delivered between 32 weeks of pregnancy and one month postpartum, momHealth included nine multi-media education modules, simultaneous daily educational text messaging, and weekly videoconferences for individual and group support. Main outcomes included “any” and “exclusive” breastfeeding initiation and continuation for 5 weeks and 3 months postpartum; number of fruit and vegetable servings; minutes of moderate/vigorous physical activity per day; and depressive symptoms. Sixty-two adolescents aged 16–19 having their first baby were randomized. Compared to Control, more momHealth participants were still breastfeeding at 5 weeks (chi-square = 3.91, df = 1, P = .048). Mothers who breastfed for 3 months were more likely to eat adequate daily fruits/vegetables. Participants positively rated the intervention. momHealth positively affected early breastfeeding continuation and trended toward positive outcomes in healthy living and depressive symptoms. A fully powered trial is planned to test the intervention more effectively.

The dynamical association between physical activity and affect in the daily life of individuals with ADHD

Exercise interventions in mental disorders have evidenced a mood-enhancing effect. However, the association between physical activity and affect in everyday life has not been investigated in adult individuals with ADHD, despite being important features of this disorder. As physical activity and affect are dynamic processes in nature, assessing those in everyday life with e-diaries and wearables, has become the gold standard. Thus, we used an mHealth approach to prospectively assess physical activity and affect processes in individuals with ADHD and controls aged 14–45 years. Participants wore accelerometers across a four-day period and reported their affect via e-diaries twelve times daily. We used multilevel models to identify the within-subject effects of physical activity on positive and negative affect. We split our sample into three groups: 1. individuals with ADHD who were predominantly inattentive (n = 48), 2. individuals with ADHD having a combined presentation (i.e., being inattentive and hyperactive; n = 95), and 3. controls (n = 42). Our analyses revealed a significant cross-level interaction (F(2, 135.072)=5.733, p = 0.004) of physical activity and group on positive affect. In details, all groups showed a positive association between physical activity and positive affect. Individuals with a combined presentation significantly showed the steepest slope of physical activity on positive affect (slope_inattentive=0.005, p<0.001; slope_combined=0.009, p<0.001; slope_controls=0.004, p = 0.008). Our analyses on negative affect revealed a negative association only in the individuals with a combined presentation (slope=-0.003; p = 0.001). Whether this specifically pronounced association in individuals being more hyperactive might be a mechanism reinforcing hyperactivity needs to be empirically clarified in future studies.

Effect of an Integrative Mobile Health Intervention in Patients With Hypertension and Diabetes: Crossover Study

BackgroundObesity, hypertension, and type 2 diabetes mellitus (T2DM) are worldwide epidemics that inflict burdens on both public health and health care costs. Self-management plays an important role in the proper management of these 3 chronic diseases, and in this context, mobile health (mHealth) can be a cost-effective self-management tool.ObjectiveThe aim of this pilot study is to evaluate the effects of an integrative mHealth approach for obesity, hypertension, and T2DM on body fat, blood pressure, and blood glucose levels and demonstrate the clinical outcomes. The participants were patients aged 40 to 70 years who were treated for T2DM (hemoglobin A1c [HbA1c] above 6.0%) without insulin or hypertension and obesity, controlled with pharmacotherapy.MethodsThis pilot study was performed using a controlled, randomized, 3-month, 2-period crossover design. A total of 37 participants were recruited from 2 university hospitals in South Korea. Integrative mHealth comprised 4 parts: self-measuring home devices for monitoring blood glucose and blood pressure; 2 smartphone apps, where one gathered lifestyle data, giving them feedback with health information, and the other provided drug information and reminders of the medication schedule; unmanned kiosks for official measurement of blood pressure and body composition; and web-based access to participants’ health information.ResultsData from the 32 participants were analyzed. Their mean HbA1c level was 7.5% (SD 0.8, ranging from 6.1% to 9.4%). Approximately 38% (12/32) of the participants had hypertension. BMIs of all participants except 1 were >23 kg/m2. The input rates of food intake and exercise to the smartphone app were very low (24.9% and 5.3%, respectively). On the contrary, the input rate of medicine intake was high (84.0%). Moreover, there was no significant difference in the input rate of taking medicine irrespective of whether the mHealth period was before or after the conventional treatment period (80.3% and 87.3%, respectively; P=.06). Among the 3 input functions of food intake, exercise, and medicine intake in smartphone apps, the input of medicine intake was a more helpful, easier to use, and better-designed function than the others. There were no significant differences in changes in body weight (−0.519 kg vs 0 kg), BMI (−0.133 kg/m2 vs −0.167 kg/m2), body composition (body fat −0.255% vs 0.172%), blood pressure (systolic −0.226 mm Hg vs −2.839 mm Hg), and HbA1c (−0.269% vs –0.009%) between the integrative mHealth and conventional treatment groups. However, in proportion to the elevation in the input rate of taking medicine, body fat mass (P=.04) and HbA1c (P=.03) were lower in the integrative mHealth group.ConclusionsAlthough smartphone apps can influence body fat and blood glucose levels, they have failed to show clinical improvement. A higher input rate of taking medicine was related to significantly lower body fat mass and HbA1c levels.

User Preferences for an mHealth Approach to Support HIV Self-Testing and Linkage to HIV Prevention or Care Services for MSM in China.

This research qualitatively explored user preferences for an app-based mHealth approach to support HIV self-testing and linkage to HIV prevention or care services developed for men who have sex with men (MSM) in China. We conducted 12 online focus group discussions with MSM participants (N = 48) about their preferences for using an app to meet their HIV self-testing and service linkage needs. Data were examined using thematic analysis. Participants specified four domains to align program delivery with their preferences for app-based intervention: (1) expanding HIV prevention/antiretroviral therapy concepts beyond basic knowledge; (2) enhancing the style and presentation of app-based messages; (3) incorporating interactive and dynamic app-engagement features; and (4) creating a "one station" app that covers the continuum of HIV services. Given the changing landscapes of HIV knowledge and community/user preferences for app-based interaction, findings underscore how engagement with end-user participants is essential to optimize mHealth interventions for HIV.

How effective is fine motor training in children with ADHD? A scoping review

BackgroundMotor deficiencies are observed in a large number of children with ADHD. Especially fine motor impairments can lead to academic underachievement, low self-esteem and frustration in affected children. Despite these far-reaching consequences, fine motor deficiencies have remained widely undertreated in the ADHD population. The aim of this review was to systematically map the evidence on existing training programs for remediating fine motor impairments in children with ADHD and to assess their effectiveness.MethodsThe scoping review followed the PRISMA-ScR guidelines. In March 2020, PsycINFO, MEDLINE (PubMed), Web of Science, Google Scholar and The Cochrane Database of Systematic Reviews were searched for evidence. The eligibility criteria and the data charting process followed the PICO framework, complemented by study design. The investigated population included children with a formal ADHD diagnosis (either subtype) or elevated ADHD symptoms aged between 4 and 12 years, both on and off medication. All training interventions aiming at improving fine motor skills, having a fine motor component or fine motor improvements as a secondary outcome were assessed for eligibility; no comparators were specified.ResultsTwelve articles were included in the final report, comprising observational and experimental studies as well as a review. Both offline and online or virtual training interventions were reported, often accompanied by physical activity and supplemented by training sessions at home. The training programs varied in length and intensity, but generally comprised several weeks and single or multiple training sessions per week. All interventions including more than one session were effective in the treatment of fine motor deficiencies in children with ADHD and had a wide range of additional positive outcomes. The effects could be maintained at follow-up.ConclusionsFine motor training in children with ADHD can be very effective and multiple approaches including specific fine motor and cognitive training components, some kind of physical activity, feedback mechanisms, or multimodal treatments can be successful. Training programs need to be tailored to the specific characteristics of the ADHD population. A mHealth approach using serious games could be promising in this context due to its strong motivational components.

Pediatric Weight Management Through mHealth Compared to Face-to-Face Care: Cost Analysis of a Randomized Control Trial.

BackgroundMobile health (mHealth) may improve pediatric weight management capacity and the geographical reach of services, and overcome barriers to attending physical appointments using ubiquitous devices such as smartphones and tablets. This field remains an emerging research area with some evidence of its effectiveness; however, there is a scarcity of literature describing economic evaluations of mHealth interventions.ObjectiveWe aimed to assess the economic viability of using an mHealth approach as an alternative to standard multidisciplinary care by evaluating the direct costs incurred within treatment arms during a noninferiority randomized controlled trial (RCT).MethodsA digitally delivered (via a smartphone app) maintenance phase of a pediatric weight management program was developed iteratively with patients and families using evidence-based approaches. We undertook a microcosting exercise and budget impact analysis to assess the costs of delivery from the perspective of the publicly funded health care system. Resource use was analyzed alongside the RCT, and we estimated the costs associated with the staff time and resources for service delivery per participant.ResultsIn total, 109 adolescents participated in the trial, and 84 participants completed the trial (25 withdrew from the trial). We estimated the mean direct cost per adolescent attending usual care at €142 (SD 23.7), whereas the cost per adolescent in the mHealth group was €722 (SD 221.1), with variations depending on the number of weeks of treatment completion. The conversion rate for the reference year 2013 was $1=€0.7525. The costs incurred for those who withdrew from the study ranged from €35 to €681, depending on the point of dropout and study arm. The main driver of the costs in the mHealth arm was the need for health professional monitoring and support for patients on a weekly basis. The budget impact for offering the mHealth intervention to all newly referred patients in a 1-year period was estimated at €59,046 using the assessed approach.ConclusionsThis mHealth approach was substantially more expensive than usual care, although modifications to the intervention may offer opportunities to reduce the mHealth costs. The need for monitoring and support from health care professionals (HCPs) was not eliminated using this delivery model. Further research is needed to explore the cost-effectiveness and economic impact on families and from a wider societal perspective.Trial RegistrationClinicalTrials.gov NCT01804855; https://clinicaltrials.gov/ct2/show/NCT01804855

A mixed-methods study to explore opportunities and challenges with using a mHealth approach to engage men who have sex with men in HIV prevention, treatment and care in Lomé, Togo.

In Togo, men who have sex with men (MSM) experience disproportionately high rates of human immuno-deficiency virus (HIV), with prevalence at 13% compared to the countrywide general HIV prevalence of 2.5%. Mobile phone adoption has grown rapidly in West Africa in recent years and mobile health (mHealth) provides an opportunity to engage high-risk populations in HIV prevention, treatment and care (PTC). This study focuses on the text messaging component of a mHealth program and resulting linkages to PTC in Lomé, Togo. We used a mixed-methods approach to collect information directly from a purposive sample of MSM to estimate the potential impact of the mHealth intervention on specific outcomes. A structured survey captured 503 MSM experiences with program activities to increase access to PTC through short message system (SMS), including data on socio-demographics, HIV knowledge and testing history, program awareness, use of services and referrals, use of mHealth, and experiences with and preferences for receiving HIV SMS messages. Twelve in-depth interviews captured qualitative data on MSM experiences and opinions related to the mHealth intervention, as well as barriers and facilitators to linkages between mHealth and clinic services. Predicted probabilities of MSM being reached by the program and linked to PTC is higher for those exposed to the program and significantly different (P<0.001). The probability of being linked to HIV prevention emerges as the highest among MSM exposed to SMS messages with 92% probability. MSM exposed to SMS had a 63% probability to be linked to treatment compared to only 40% among those not exposed to SMS. Program barriers and facilitators were identified through the thematic analysis of the qualitative data. Several facilitators to PTC were reported including: increased knowledge and awareness; convenient location of HIV testing coupled with distribution of products; ensuring individual confidentiality; and perceived care of providers. The main barriers to the program were lack of program awareness, program functionality and affordability for referral services, and peer educator training. The probability of being reached, and adhering to PTC is significantly higher among MSM exposed to HIV related SMS messages; however, the usefulness of SMS in HIV programs targeting MSM needs to be better understood.

Healthcare providers' acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model.

BackgroundIn almost all lower and lower middle-income countries, the healthcare system is structured in the customary model of in-person or face to face model of care. With the current global COVID-19 pandemics, the usual health care service has been significantly altered in many aspects. Given the fragile health system and high number of immunocompromised populations in lower and lower-middle income countries, the economic impacts of COVID-19 are anticipated to be worse. In such scenarios, technological solutions like, Telemedicine which is defined as the delivery of healthcare service remotely using telecommunication technologies for exchange of medical information, diagnosis, consultation and treatment is critical. The aim of this study was to assess healthcare providers’ acceptance and preferred modality of telemedicine and factors thereof among health professionals working in Ethiopia.MethodsA multi-centric online survey was conducted via social media platforms such as telegram channels, Facebook groups/pages and email during Jul 1- Sep 21, 2020. The questionnaire was adopted from previously validated model in low income setting. Internal consistency of items was assessed using Cronbach alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both discriminant and convergent validity of constructs. The extent of relationship among variables were evaluated by Structural equation modeling (SEM) using SPSS Amos version 23.ResultsFrom the expected 423 responses, 319 (75.4%) participants responded to the survey questionnaire during the data collection period. The majority of participants were male (78.1%), age <30 (76.8%) and had less than five years of work experience (78.1%). The structural model result confirmed the hypothesis “self-efficacy has a significant positive effect on effort expectancy” with a standardized coefficient estimate (β) of 0.76 and p-value <0.001. The result also indicated that self-efficacy, effort expectancy, performance expectancy, facilitating conditions and social influence have a significant direct effect on user’s attitude toward using telemedicine. User’s behavioral intention to use telemedicine was also influenced by effort expectancy and attitude. The model also ruled out that performance expectancy, facilitating conditions and social influence does not directly influence user’s intention to use telemedicine. The squared multiple correlations (r2) value indicated that 57.1% of the variance in attitude toward using telemedicine and 63.6% of the variance in behavioral intention to use telemedicine is explained by the current structural model.ConclusionThis study found that effort expectancy and attitude were significantly predictors of healthcare professionals’ acceptance of telemedicine. Attitude toward using telemedicine systems was also highly influenced by performance expectancy, self-efficacy and facilitating conditions. effort expectancy and attitude were also significant mediators in predicting users’ acceptance of telemedicine. In addition, mHealth approach was the most preferred modality of telemedicine and this opens an opportunity to integrate telemedicine systems in the health system during and post pandemic health services in low-income countries.

MHealth to reduce HIV-related stigma among youth in the United States: a scoping review.

Multiple intersecting stigmas and discrimination related to sex, gender, HIV, and race/ethnicity may challenge HIV prevention and treatment service utilization, particularly among youth. This scoping review describes recent and ongoing innovative mobile health (mHealth) interventions among youth in the United States that aim to reduce stigma as an outcome or as part of the intervention model. To identify examples of stigma-mitigation via mHealth, we searched peer-reviewed published literature using keyword strategies related to mHealth, HIV, stigma, and youth (ages 10 to 29). We identified eleven articles that met our inclusion criteria, including three describing data from two randomized controlled trials (RCTs), five describing pilot studies, one describing the process evaluation of an ongoing intervention, one describing formative work for intervention development, and one published study protocol for an ongoing intervention. We review these articles, grouped by HIV prevention and care continuum stages, and describe the mHealth approach used, including telehealth, simulation video games, motion comics, smartphone applications (apps), social media forums, online video campaigns, video vignettes, and a computerized behavioral learning module. Four studies focused on preventing primary acquisition through individual-level behavior change (e.g., reducing condomless anal intercourse), three focused on increasing HIV testing, three focused on linking to prevention services [e.g., pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP)] and one focused on promoting adherence to antiretroviral therapy (ART). Our review did not identify any published studies using mHealth with a primary aim to reduce stigma as a way to improve care engagement and increase viral suppression among youth in the United States. Additional RCTs and implementation studies examining the effectiveness of mHealth stigma-reduction interventions on HIV-related outcomes are needed to end the HIV epidemic among youth. mHealth offers unique advantages to address the complex intersecting stigma barriers along the HIV continuum to improve HIV-related outcomes for youth.

Improving Patients’ Experience and Medication Adherence after Heart Transplant Using a Multilevel eHealth Intervention: The Mheart Clinical Trial

Purpose Non-adherence is a main issue after heart transplantation. The main objective of this study is to evaluate if a mHealth-based strategy is better than the conventional approach to improve adherence in adults heart transplanted recipients and to asses patients experience of therapeutic regimens. Methods This is a single-center randomized controlled trial (RCT). Adult HTx recipients who were >1.5 years post-transplant were randomly assigned 1:1 to the control group or intervention group. Control group patients received usual care and the intervention group received a mHealth based care strategy. Results A total of 134 HTx recipients were randomized [intervention N=71; control N=63]. An attrition rate of 4% was observed. The mean follow-up was 1.6 (SD 0.6) years. Mean age was 55 (SD14) years; 30% were women. Adherence rate improvement from the baseline was >65% according to the SMAQ questionnaire, significantly higher in the intervention group (85 % vs 46% 65% OR=6.7 (2.9;15.8), P-value=.000]. Patients’ experience of therapeutic regimens (including the degree of inconvenience related to taking medication [P-value=.002], patient's knowledge of their regimen intakes [P-value=.019], drugs names [P-value=.006], drugs doses [P-value=.030] and drugs indications remembered [P-value=.003]) significantly improved in the intervention versus the control group. In addition, patient's awareness of the consequences of nonadherence significantly improved in both groups [P-value Conclusion In our study, a mHealth based strategy significantly improved adherence in heart transplant recipients. A significantly reduction on the number of patients needing to travel to the clinic for follow-up appointments with the clinical pharmacist was documented. The mHealth approach will be a feasible way to continue providing long-term advanced individually-tailored interventions by health providers to HTx recipients in the at-home setting.

On-Demand Mobile Health Infrastructure for Remote Rhythm Monitoring within a Wait-and-See Strategy for Recent-Onset Atrial Fibrillation: TeleWAS-AF

Recently, we introduced the TeleCheck-AF approach, an on-demand mobile health (mHealth) infrastructure using app-based heart rate and rhythm monitoring for 7 days, to support long-term atrial fibrillation (AF) management through teleconsultation. Herein, we extend the mHealth approach to patients with recent-onset AF at the emergency department (ED). In the proposed TeleWAS-AF approach, on-demand heart rate and rhythm monitoring are used to support a wait-and-see strategy at the ED. All stable patients who present to the ED with recent-onset symptomatic AF and who are able to use mHealth solutions for heart rate and rhythm monitoring are eligible for this approach. Patients will receive both education on AF and instructions on the use of the mHealth technology before discharge from the ED. A case coordinator will subsequently check whether patients are able to activate the mHealth solution and to perform heart rate and rhythm measurements. Forty hours after AF onset, the first assessment teleconsultation with the physician will take place, determining the need for delayed cardioversion. After maximal 7 days of remote monitoring, a second assessment teleconsultation may occur, in which the rhythm can be reassessed and further treatment strategy can be discussed with the patients. This on-demand mHealth prescription increases patient involvement in the care process and treatment decision-making by encouraging self-management, while avoiding excess data-load requiring work-intensive and expensive data management. Implementation of the TeleWAS-AF approach may facilitate the management of AF in the ED and reduce the burden on the ED system, which enhances the capacity for health care utilization.

The effects of a physical activity intervention based on a fatness and fitness smartphone app for University students.

Since the 2012 Lancet Series on physical activity, progress regarding this topic has been negligible at global level. Thus, improving physical activity levels in specific populations through new methodologies is positioned as a priority. The aim of this study was to determine the effects of a physical activity intervention on body fatness composition, and measured and self-reported physical fitness components based on the use of a smartphone app. The investigation included 100 Spanish university students, cluster-randomized into the smartphone app intervention group or a control group (n = 35 and n = 31 respectively, after applying exclusion criteria). The physical activity intervention comprised a 9-week programme designed to promote a healthy physical activity pattern using a smartphone app. Specifically, an mHealth approach was taken containing five BCTs. The results showed that the intervention group improved their physical fitness (F = 8.1, p = .006) and reported better general scores in self-reported physical fitness (F = 7.4, p = .008) over time, in comparison to the control group. However, the intervention group did not show any changes to their fatness. Further research is needed to disentangle which BCTs are more effective to achieve physical health improvements when using physical activity apps.

Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study.

BackgroundSolid organ transplantation could be the only life-saving treatment for end-stage heart failure. Nevertheless, multimorbidity and polypharmacy remain major problems after heart transplant. A technology-based behavioral intervention model was established to improve clinical practice in a heart transplant outpatient setting. To support the new strategy, the mHeart app, a mobile health (mHealth) tool, was developed for use by patients and providers.ObjectiveThe primary objective of this study was to describe the implementation of the mHeart model and to outline the main facilitators identified when conceiving an mHealth approach. The secondary objectives were to evaluate the barriers, benefits, and willingness to use mHealth services reported by heart transplant recipients and cardiology providers.MethodsThis was an implementation strategy study directed by a multidisciplinary cardiology team conducted in four stages: design of the model and the software, development of the mHeart tool, interoperability among systems, and quality and security requirements. A mixed methods study design was applied combining a literature review, several surveys, interviews, and focus groups. The approach involved merging engineering and behavioral theory science. Participants were chronic-stage heart transplant recipients, patient associations, health providers, stakeholders, and diverse experts from the legal, data protection, and interoperability fields.ResultsAn interdisciplinary and patient-centered process was applied to obtain a comprehensive care model. The heart transplant recipients (N=135) included in the study confirmed they had access to smartphones (132/135, 97.7%) and were willing to use the mHeart system (132/135, 97.7%). Based on stakeholder agreement (>75%, N=26), the major priorities identified of the mHealth approach were to improve therapy management, patient empowerment, and patient-provider interactions. Stakeholder agreement on the barriers to implementing the system was weak (<75%). Establishing the new model posed several challenges to the multidisciplinary team in charge. The main factors that needed to be overcome were ensuring data confidentiality, reducing workload, minimizing the digital divide, and increasing interoperability. Experts from various fields, scientific societies, and patient associations were essential to meet the quality requirements and the model scalability.ConclusionsThe mHeart model will be applicable in distinct clinical and research contexts, and may inspire other cardiology health providers to create innovative ways to deal with therapeutic complexity and multimorbidity through health care systems. Professionals and patients are willing to use such innovative mHealth programs. The facilitators and key strategies described were needed for success in the implementation of the new holistic theory–based mHealth strategy.

A systematic review of mHealth interventions for HIV prevention and treatment among gay, bisexual, and other men who have sex with men.

The use of mobile health (mHealth) technologies addressing HIV disparities among gay, bisexual, and other men who have sex with men (GBMSM) has increased. A systematic review of mHealth interventions for HIV prevention and treatment among GBMSM was conducted to summarize the current evidence and provide recommendations for future research. PRISMA guidelines were followed (PROSPERO ID: 148452). Studies identified via PubMed, PsychInfo, or Embase were included that (i) were in English, (ii) were published in a peer-reviewed journal prior to July 1, 2019, (iii) presented primary results, (iv) included only GBMSM, and (v) reported the results of an mHealth intervention (e.g., text message, phone/mobile application [app]) to improve HIV prevention or treatment outcomes. Of 1,636 identified abstracts, 16 published studies met inclusion criteria. Eleven studies were conducted in the United States. One study was a fully powered randomized controlled trial (RCT), seven were single-arm pilots with pre-post assessments, four were pilot RCTs, and four tested public health campaigns with post-assessments. Seven developed study-specific apps, five used text messaging, and four used existing social networking apps. Most (81%) targeted prevention outcomes. Nine cited a specific behavioral theory. All studies found that a mHealth approach was feasible and acceptable. All interventions provided evidence of preliminary efficacy or promising trends on primary outcomes. Although mHealth interventions for HIV prevention and treatment appear feasible and acceptable, most published studies are small pilot trials. Additional research assessing the efficacy and mechanisms of mHealth interventions is needed.

On-demand mobile health infrastructures to allow comprehensive remote atrial fibrillation and risk factor management through teleconsultation.

BackgroundAlthough novel teleconsultation solutions can deliver remote situations that are relatively similar to face‐to‐face interaction, remote assessment of heart rate and rhythm as well as risk factors remains challenging in patients with atrial fibrillation (AF).Hypothesis.Mobile health (mHealth) solutions can support remote AF management.MethodsHerein, we discuss available mHealth tools and strategies on how to incorporate the remote assessment of heart rate, rhythm and risk factors to allow comprehensive AF management through teleconsultation.ResultsParticularly, in the light of the coronavirus disease 2019 (COVID‐19) pandemic, there is decreased capacity to see patients in the outpatient clinic and mHealth has become an important component of many AF outpatient clinics. Several validated mHealth solutions are available for remote heart rate and rhythm monitoring as well as for risk factor assessment. mHealth technologies can be used for (semi‐)continuous longitudinal monitoring or for short‐term on‐demand monitoring, dependent on the respective requirements and clinical scenarios. As a possible solution to improve remote AF care through teleconsultation, we introduce the on‐demand TeleCheck‐AF mHealth approach that allows remote app‐based assessment of heart rate and rhythm around teleconsultations, which has been developed and implemented during the COVID‐19 pandemic in Europe.ConclusionLarge scale international mHealth projects, such as TeleCheck‐AF, will provide insight into the additional value and potential limitations of mHealth strategies to remotely manage AF patients. Such mHealth infrastructures may be well suited within an integrated AF‐clinic, which may require redesign of practice and reform of health care systems.

Effect of mHealth tool on knowledge regarding reproductive health of school going adolescent girls: a before-after quasi-experimental study

ObjectiveThis study was executed to (1) assess the effect of mHealth (mobile health) tool on knowledge regarding reproductive health (RH) of adolescent girls and (2) determine the utilisation of mHealth...

A novel interactive mobile health support system for pediatric obesity treatment: a randomized controlled feasibility trial

BackgroundIn order to achieve improved weight status, behavioral pediatric obesity treatment is resource intensive. Mobile Health (mHealth) is more accessible than standard care but effective approaches are scarce. Therefore, the aim of this feasibility trial was to study trial design, mHealth usage, compliance, and acceptability of a novel mHealth approach in pediatric obesity treatment.MethodsThis six-month parallel two-arm feasibility trial took place at three pediatric outpatient clinics in Stockholm, Sweden. Participants, 5–12 years, starting obesity treatment were randomized to using an mHealth support system as an addition to standard care (intervention) or to standard care alone (control). The intervention included daily self-monitoring of weight transferred to a mobile application (app) used by parents, a website in which clinicians could track treatment progress, prespecified treatment goals for change in degree of obesity shown in the app and on the website, and text message interactions between clinicians and parents. The main outcome was description of feasibility. Height and weight were measured at baseline, three, and 6 months to explore changes in body mass index standard deviation score (BMI SDS).ResultsOf 40 children eligible for inclusion, 28 agreed to participate (54% girls) and were randomized to intervention (n = 15) or control (n = 13). Weight was measured at home regularly throughout the entire trial period by 12/15 children in the intervention group. Attendance at appointments were better in the intervention group (p = 0.024). Both parents and clinicians had a positive experience and found the mHealth support system accessible. At 6 months the intervention group had a greater reduction of 0.24 units in BMI SDS than standard care (− 0.23 vs. 0.01, p = 0.002).ConclusionsThe mHealth support system was a feasible and innovative treatment approach which, in addition to standard care, generated better treatment results than standard care alone. Future research should evaluate the treatment effects over a longer follow-up time in a larger study sample.Trial registrationThis trial was retrospectively registered at ClinicalTrials.gov, ID: NCT03380598, on November 8, 2017.