App Interventions Research Articles

Mobile app for prolonged grief among bereaved parents: study protocol for a randomised controlled trial

IntroductionBereaved parents, who have lost a child, have an elevated risk to develop mental health problems, yet, few studies have evaluated the effect of psychosocial interventions developed for bereaved parents....

Use of digital technologies in the nutritional management of catabolism-prone chronic diseases: A rapid review

Diet and nutrition applications (apps) have become more readily accessible as smartphone ownership increases. These apps have the potential to improve nutritional outcomes, but it remains unclear whether they are effective in patients with catabolism-prone conditions and specialized nutritional needs. The primary aim of this rapid review was to determine if delivery of a nutrition intervention via an app was more effective than standard care in improving nutritional outcomes in patients with a selected set of catabolism-prone chronic diseases. Secondary aims included summarizing intervention components and reviewing adherence and acceptance. The research question was developed using the Population, Intervention, Comparison, Outcomes (PICO) framework. Comprehensive literature searches were conducted across three databases. Screening, study selection, extraction, and risk of bias (RoB) assessment were conducted for the included randomized controlled trials (RCTs). 15 articles were included, including 5 RCTs; 3/5 RCTs were judged to be at high RoB. The study aims, measured outcomes, and intervention components were diverse. Adherence and acceptance to the app interventions were encouraging. Due to the heterogeneity of study design, nutrition interventions, outcomes, and reporting across studies, we were unable to aggregate data regarding the impact on nutritional outcomes. Reassuringly though, the available evidence suggests high adherence and acceptance, which needs to be interpreted in light of the associated personnel support provided within each study. The use of digital technology to deliver diet and nutrition interventions in catabolism-prone conditions is feasible, easy to adhere to, and well-accepted by participants.

Stakeholders' Perspectives on Partnering to Inform the Software Development Lifecycle of Smartphone Applications for People with Serious Mental Illness: Enhancing the Software Development Lifecycle Through Stakeholder Engagement.

Serious mental illness (SMI) is a leading disability worldwide. Partnering with people with SMI to co-produce smartphone apps to support mental health outcomes throughout the software development lifecycle may support patient engagement with smartphone health app interventions. Partnering with this community is often challenging and requires a highly specialized community engagement training and skillset. The purpose of this study was to identify stakeholders' perspectives on partnering to inform the software development lifecycle of a smartphone health app intervention for people with SMI. We conducted thirty-five semi-structured qualitative interviews with 20 mental health patients and 15 peer support specialists. We identified six themes: (1) co-produce health app intervention content; (2) selection of app technology features; (3) integration of human factors in digital health apps; (4) consideration of personalized patient preferences in digital health apps; (5) identify unrecognized concerns early in the software development lifecycle; and (6) inclusion of real-world social, cognitive, and environmental contexts. Integration of these considerations may elucidate the partnering process to facilitate engagement among vulnerable populations that commonly disengage from mental health smartphone apps use such as people with SMI.

Promoting risk reduction among young adults with asthma during wildfire smoke: A feasibility study.

This study explored the feasibility, acceptability, preliminary impact, and functionality of two risk reduction mobile application (app) interventions on asthma outcomes as compared to a control arm during wildfire season. Three-arm, 8-week randomized clinical trial. Sixty-seven young adults with asthma were enrolled. The Asthma Control Test, forced expiratory volume in one second (FEV1 ) and the System Usability Scale were measured at baseline, 4, and 8weeks. The Research Attitude Scale was administered at 8 weeks. Twenty participants from the two intervention arms completed an optional survey and six were interviewed after completing the study. Both intervention arms could access Smoke Sense Urbanova, an app that supports reducing risks from breathing wildfire smoke. The Smoke Sense Urbanova Plus arm also monitored their daily FEV1 , received air quality notifications, and accessed preventive tips and a message board. Most participants agreed the app and spirometer were usable and their privacy and confidentiality were maintained. No adverse events were reported. Participant-identified recommendations will support intervention refinement and testing. This research supports asthma self-management tools that public health nurses and community health workers can recommend for at-risk populations.

What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.

Background:Despite the growing popularity of mobile app interventions, specific engagement components of mobile apps have not been well studied.Methods:The objectives of this scoping review are to determine which components of mobile health intervention apps encouraged or hindered engagement, and examine how studies measured engagement.Results:A PubMed search on March 5, 2020 yielded 239 articles that featured the terms engagement, mobile app/mobile health, and adult. After applying exclusion criteria, only 54 studies were included in the final analysis.Discussion:Common app components associated with increased engagement included: personalized content/feedback, data visualization, reminders/push notifications, educational information/material, logging/self-monitoring functions, and goal-setting features. On the other hand, social media integration, social forums, poor app navigation, and technical difficulties appeared to contribute to lower engagement rates or decreased usage. Notably, the review revealed a great variability in how engagement with mobile health apps is measured due to lack of established processes.Conclusion:There is a critical need for controlled studies to provide guidelines and standards to help facilitate engagement and its measurement in research and clinical trial work using mobile health intervention apps.

Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study.

BackgroundIn the United States, nearly 80% of family caregivers of people with dementia have at least one chronic condition. Dementia caregivers experience high stress and burden that adversely affect their health and self-management. mHealth apps can improve health and self-management among dementia caregivers with a chronic condition. However, mHealth app adoption by dementia caregivers is low, and reasons for this are not well understood.ObjectiveThe purpose of this study is to explore factors associated with dementia caregivers’ intention to adopt mHealth apps for chronic disease self-management.MethodsWe conducted a cross-sectional, correlational study and recruited a convenience sample of dementia caregivers. We created a survey using validated instruments and collected data through computer-assisted telephone interviews and web-based surveys. Before the COVID-19 pandemic, we recruited dementia caregivers through community-based strategies, such as attending community events. After nationwide closures due to the pandemic, the team focused on web-based recruitment. Multiple logistic regression analyses were used to test the relationships between the independent and dependent variables.ResultsOur sample of 117 caregivers had an average age of 53 (SD 17.4) years, 16 (SD 3.3) years of education, and 4 (SD 2.5) chronic conditions. The caregivers were predominantly women (92/117, 78.6%) and minorities (63/117, 53.8%), experienced some to extreme income difficulties (64/117, 54.7%), and were the child or child-in-law (53/117, 45.3%) of the person with dementia. In logistic regression models adjusting for the control variables, caregiver burden (odds ratio [OR] 1.3, 95% CI 0.57-2.8; P=.57), time spent caregiving per week (OR 1.7, 95% CI 0.77-3.9; P=.18), and burden of chronic disease and treatment (OR 2.3, 95% CI 0.91-5.7; P=.08) were not significantly associated with the intention to adopt mHealth apps. In the final multiple logistic regression model, only perceived usefulness (OR 23, 95% CI 5.6-97; P<.001) and the interaction term for caregivers’ education and burden of chronic disease and treatment (OR 31, 95% CI 2.2-430; P=.01) were significantly associated with their intention to adopt mHealth apps. Perceived ease of use (OR 2.4, 95% CI 0.67-8.7; P=.18) and social influence (OR 1.8, 95% CI 0.58-5.7; P=.31) were not significantly associated with the intention to adopt mHealth apps.ConclusionsWhen designing mHealth app interventions for dementia caregivers with a chronic condition, it is important to consider caregivers’ perceptions about how well mHealth apps can help their self-management and which app features would be most useful for self-management. Caregiving factors may not be relevant to caregivers’ intention to adopt mHealth apps. This is promising because mHealth strategies may overcome barriers to caregivers’ self-management. Future research should investigate reasons why caregivers with a low education level and low burden of chronic disease and treatment have significantly lower intention to adopt mHealth apps for self-management.

Patients' Experiences of Using a Self-help App for Posttraumatic Stress Disorder: Qualitative Study.

BackgroundPosttraumatic stress disorder (PTSD) is a common disorder that requires more treatment options. Mobile health (mHealth) app interventions are promising for patients with PTSD, as they can provide easily accessible support, strategies, and information. However, knowledge about mHealth interventions is sparse and primarily based on quantitative studies.ObjectiveThe aim of this study is to qualitatively explore the experiences of patients with PTSD with regard to using an mHealth app as a stand-alone intervention before commencing psychotherapeutic treatment.MethodsWe conducted semistructured interviews with 14 participants 6 weeks after they received the app. The participants were all referred to PTSD treatment and were waiting to commence psychotherapeutic treatment. During this waiting time, the participants had no contact with the health staff. Interviews were transcribed and were analyzed using thematic analysis.ResultsA total of 3 themes were identified—the use of app, being a patient, and the overall evaluation of the app. The use of the app was described with the subtheme of habits, and the theme of being a patient included the subthemes of having negative experiences with the app and being a part of a research project. The use of the app encompassed how psychological factors and technical problems could interfere with the use of the app. The theme of being a patient depicted that the waiting time before starting treatment was long, and a subgroup of patients experienced feeling worse during this time, which they partly attributed to using the app. Several suggestions for change have been described in the overall evaluation of the app.ConclusionsThe findings in this study revealed that emotional arousal influenced the use of the app and that it was difficult for participants to establish a habit of using the app, thus reflecting the importance of supporting habit formation when implementing an mHealth app in mental health care services. This study makes an important contribution to the field of mHealth research, as it revealed that some participants had negative experiences resulting from using the app, thus reflecting the potential harm of having an mHealth app without the support of a clinician. It is therefore recommended to use a blended care treatment or an approach in which mental health care professionals prescribe an mHealth app for relevant patients to avoid increased suicidal risk.

The Process of Learning Mindfulness and Acceptance through the Use of a Mobile App Based on Acceptance and Commitment Therapy: A Grounded Theory Analysis

ABSTRACT This study aimed to explore the process of how college student military veterans with posttraumatic stress disorder (PTSD) symptoms learn mindfulness and acceptance through the use of a mobile app based on acceptance and commitment therapy (ACT). Twenty-three college student veterans with PTSD symptoms participated in the 4-week ACT mobile app-based intervention and took part in three weekly semi-structured interviews. Results of the grounded theory data analysis reveal the core category of Mindful Scaffolding, a process indicating how student veterans cope with the interruptions and intrusions associated with learning mindfulness and acceptance through the use of the ACT-based app. The grounded theory provides a foundational theoretical framework for increasing adherence with using mindfulness- and acceptance-based mobile app interventions for PTSD.

Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.

BackgroundAdherence rates of preventative medication for cardiovascular disease (CVD) have been reported as 57%, and approximately 9% of all CVD events in Europe are attributable to poor medication adherence. Mobile health technologies, particularly mobile apps, have the potential to improve medication adherence and clinical outcomes.ObjectiveThe objective of this study is to assess the effects of mobile health care apps on medication adherence and health-related outcomes in patients with CVD. This study also evaluates apps’ functionality and usability and the involvement of health care professionals in their use.MethodsElectronic databases (MEDLINE [Ovid], PubMed Central, Cochrane Library, CINAHL Plus, PsycINFO [Ovid], Embase [Ovid], and Google Scholar) were searched for randomized controlled trials (RCTs) to investigate app-based interventions aimed at improving medication adherence in patients with CVD. RCTs published in English from inception to January 2020 were reviewed. The Cochrane risk of bias tool was used to assess the included studies. Meta-analysis was performed for clinical outcomes and medication adherence, with meta-regression analysis used to evaluate the impact of app intervention duration on medication adherence.ResultsThis study included 16 RCTs published within the last 6 years. In total, 12 RCTs reported medication adherence as the primary outcome, which is the most commonly self-reported adherence. The duration of the interventions ranged from 1 to 12 months, and sample sizes ranged from 24 to 412. Medication adherence rates showed statistically significant improvements in 9 RCTs when compared with the control, and meta-analysis of the 6 RCTs reporting continuous data showed a significant overall effect in favor of the app intervention (mean difference 0.90, 95% CI 0.03-1.78) with a high statistical heterogeneity (I2=93.32%). Moreover, 9 RCTs assessed clinical outcomes and reported an improvement in systolic blood pressure, diastolic blood pressure, total cholesterol, and low-density lipoprotein cholesterol levels in the intervention arm. Meta-analysis of these clinical outcomes from 6 RCTs favored app interventions, but none were significant. In the 7 trials evaluating app usability, all were found to be acceptable. There was a great variation in the app characteristics. A total of 10 RCTs involved health care professionals, mainly physicians and nurses, in the app-based interventions. The apps had mixed functionality: 2 used education, 7 delivered reminders, and 7 provided reminders in combination with educational support.ConclusionsApps tended to increase medication adherence, but interventions varied widely in design, content, and delivery. Apps have an acceptable degree of usability; yet the app characteristics conferring usability and effectiveness are ill-defined. Future large-scale studies should focus on identifying the essential active components of successful apps.Trial RegistrationPROSPERO International Prospective Register of Systematic Reviews CRD42019121385; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=121385

Mental health apps for adolescents and young adults: A systematic review of randomised controlled trials

ObjectiveSmartphone applications (‘apps’) have the potential to improve the scalability of mental health interventions for young people, however, the effectiveness of stand-alone apps in mental health management remains unclear. This systematic review, with meta-analysis, provides an up-to-date summary of the available high-quality evidence. MethodsEleven randomized controlled trials, involving a pooled sample of 1706 adolescents and young adults (age range 10 to 35 years), were identified from the Cochrane Library, Embase, Google Scholar, PsycINFO and PubMed databases. The reporting quality of studies was evaluated using the Cochrane Risk of Bias Tool 2.0 (RoB 2.0). Hedges’ g effect sizes with 95% confidence intervals, p values and heterogeneity statistics were additionally calculated using a random effects model. ResultsStudy reporting quality was sound, with no trials characterized as ‘high’ risk. App interventions produced significant symptom improvement across multiple outcomes, compared to wait-list or attention control conditions (depression gw = 0.52 [CI: 0.18–0.84], p = .01, k = 8; stress gw = 0.30 [CI: 0.06–0.53], p = .02, k = 2). Longer-term benefits could not be established (k = 4), although individual studies reported positive trends up to 6 months post. Age was not identified as a significant moderator. ConclusionsSmartphone apps hold promise as a stand-alone self-management tool in mental health service delivery. Further controlled trials with follow-up data are needed to confirm these findings as well as determine treatment engagement and effectiveness across diverse groups of participants.

Mobile Interventions to Improve Quality of Life Among Pre and Post Breast Cancer Patients: A Systematic Review

Background: The objective of this study was to evaluate the significance of mobile apps interventions for breast cancer patients in improving quality of life and reducing reoccurrence and death caused by comorbidities due to obesity. Methods: Searched Medline (2014-2019) and reviewed a reference list to identify eligible articles. We extracted study descriptions such as study design, sample size, duration in weeks, completion rate, theories, control, intervention, measures, and statistical significance. Results: 7 articles were reviewed for this study to evaluate the impact of mobile app interventions for breast cancer patients and survivors. 5 studies measured the quality of life outcomes. The remaining 2 studies measured patient's self-reporting and mobile application usage compliance. Quality of life outcomes was grouped into anxiety and depression, increased physical activity/ weight reduction, nutrition, self-efficacy, and reduced side-effects of Chemotherapy drugs. Conclusions: Providing an interface for breast cancer patients to interact with each other and message providers directly with customized feedback via mobile applications was effective for improving client’s physical activity and quality of life. However, too much information revealed increased anxiety and depression among breast cancer patients.

Gamified applications for secondary prevention in patients with high cardiovascular disease risk: A systematic review of effectiveness and acceptability.

Gamified health mobile applications (apps) are promoted as innovative approaches to self-management and risk factor reduction. However, information is lacking on effectiveness or feasibility in older patients at high risk for cardiovascular diseases (CVD), which limits uptake and recommendations by nurses. This study aimed to evaluate the effectiveness and acceptability of gamified apps for CVD secondary prevention. EQUATOR PRISMA checklist was used to guide the systematic review. PubMed, Embase and SCOPUS were searched from inception to January 2020 for studies evaluating app interventions incorporating ≥2 game tactics and targeting secondary prevention in patients diagnosed with heart disease, hypertension, stroke or type 2 diabetes. Narrative summaries of results were used as meta-analysis were not possible. The PROSPERO ID number was CRD42020209791. Seven studies involving 657 patients were included. Gamified apps resulted in more improvement in physical activity, HbA1C and diabetes self-management empowerment compared to multiple different comparators, and more physical activity motivation compared to a neutral content control app. Heart failure knowledge also improved significantly. However, no benefits above usual care were evident for blood pressure or body mass index, or from app use for heart failure self-management, medication adherence or atrial fibrillation knowledge. App acceptability in terms of usage declined with time but was high for the game components of challenges, medication monitoring, viewing of leader boards and badges and walking training participation. Enjoyment was highest for elements that featured surprise/novelty, having teammates, challenges, good graphic design and clarity. Gamified mobile apps show the potential to improve secondary prevention in high CVD risk patients. Indications for acceptability were evident, with higher adherence than clinic-based secondary prevention programmes. However, further well-designed randomised controlled trials, which track app usage are needed to confirm this potential and encourage nurses to recommend these types of apps.

Insights From the SmokeFree.gov Initiative Regarding the Use of Smoking Cessation Digital Platforms During the COVID-19 Pandemic: Cross-sectional Trends Analysis Study.

BackgroundSmoking is a plausible risk factor for COVID-19 progression and complications. Smoking cessation digital platforms transcend pandemic-driven social distancing and lockdown measures in terms of assisting smokers in their quit attempts.ObjectiveThis study aims to examine trends in the number of visitors, followers, and subscribers on smoking cessation digital platforms from January to April 2020 and to compare these traffic data to those observed during the same 4-month period in 2019. The examination of prepandemic and postpandemic trends in smoking cessation digital platform traffic can reveal whether interest in smoking cessation among smokers is attributable to the COVID-19 pandemic.MethodsWe obtained cross-sectional data from daily visitors on the SmokeFree website; the followers of six SmokeFree social media accounts; and subscribers to the SmokeFree SMS text messaging and mobile app interventions of the National Cancer Institute’s SmokeFree.gov initiative platforms, which are publicly available to US smokers. Average daily percentage changes (ADPCs) were used to measure trends for the entire 2020 and 2019 study periods, whereas daily percentage changes (DPCs) were used to measure trends for each time segment of change within each 4-month period. Data analysis was conducted in May and June 2020.ResultsThe number of new daily visitors on the SmokeFree website (between days 39 and 44: DPC=18.79%; 95% CI 5.16% to 34.19%) and subscribers to the adult-focused interventions QuitGuide (between days 11 and 62: DPC=1.11%; 95% CI 0.80% to 1.43%) and SmokeFreeTXT (between days 11 and 89: DPC=0.23%; 95% CI 0.004% to 0.47%) increased, but this was followed by declines in traffic. No comparable peaks were observed in 2019. The number of new daily subscribers to quitSTART (ie, the teen-focused intervention) trended downward in 2020 (ADPC=−1.02%; 95% CI −1.88% to −0.15%), whereas the overall trend in the number of subscribers in 2019 was insignificant (P=.07). The number of SmokeFree social media account followers steadily increased by <0.1% over the 4-month study periods in 2019 and 2020.ConclusionsPeaks in traffic on the SmokeFree website and adult-focused intervention platforms in 2020 could be attributed to an increased interest in smoking cessation among smokers during the COVID-19 pandemic. Coordinated campaigns, especially those for adolescents, should emphasize the importance of smoking cessation as a preventive measure against SARS-CoV-2 infection and raise awareness of digital smoking cessation platforms to capitalize on smokers’ heightened interest during the pandemic.

Effects of Smartphone-Based Interventions on Physical Activity in Children and Adolescents: Systematic Review and Meta-analysis

BackgroundAbout 70% of children and adolescents worldwide do not meet the recommended level of physical activity (PA), which is closely associated with physical, psychological, and cognitive well-being. Nowadays, the use of technologies to change PA is of interest due to the need for novel, more effective intervention approaches. The previous meta-analyses have examined smartphone-based interventions and their impact on PA in adults, but evidence in children and adolescents still needs further research.ObjectiveThis systematic review and meta-analysis aimed to determine the effectiveness of smartphone-based interventions for improving PA in children and adolescents.MethodsFive electronic databases (PubMed, Web of Science, OVID, Scopus, and the China National Knowledge Infrastructure) were searched up to June 29, 2020. Randomized controlled trials with a control group that examine the effect of smartphone interventions on PA among children and adolescents were included. Bias risks were assessed using the Cochrane collaboration tool. Meta-analysis was performed to assess the pooled effect on PA using a random effects model. Subgroup analyses were conducted to examine the potential modifying effects of different factors (eg, types of intervention, intervention duration, age, measurement, study quality).ResultsA total of 9 studies were included in this review, including 4 mobile app interventions, 3 SMS text messaging interventions, and 2 app + SMS text messaging interventions. In general, the risk of bias of included studies was low. Compared with the control group, the use of smartphone intervention significantly improved PA (standardized mean difference [SMD] 0.44, 95% CI 0.11-0.77, P=.009), especially for total PA (TPA; weighted mean difference [WMD] 32.35, 95% CI 10.36-54.33, P=.004) and daily steps (WMD 1185, 95% CI 303-2068, P=.008), but not for moderate-to-vigorous PA (WMD 3.91, 95% CI –1.99 to 9.81, P=.19). High statistical heterogeneity was detected (I2=73.9%, P<.001) for PA. Meta-regression showed that duration (β=–.08, 95% CI –0.15 to –0.01, n=16) was a potential factor for high heterogeneity. The results of subgroup analyses indicated that app intervention (SMD 0.76, 95% CI 0.23-1.30, P=.005), children (SMD 0.64, 95% CI 0.10-1.18, P=.02), “≤8 weeks” (SMD 0.76, 95% CI 0.23-1.30, P=.005), objective measurement (SMD 0.50, 95% CI 0.09-0.91, P=.02), and low risk of bias (SMD 0.96, 95% CI 0.38-1.54, P=.001) can significantly improve PA.ConclusionsThe evidence of meta-analysis shows that smartphone-based intervention may be a promising strategy to increase TPA and steps in children and adolescents. Currently, app intervention may be a more effective strategy among smartphone intervention technologies. To extend the promise of smartphone intervention, the future needs to design comparative trials among different smartphone technologies.Trial RegistrationPROSPERO CRD42019148261; https://tinyurl.com/y5modsrd

Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials.

BackgroundInterventions aimed at modifying behavior for promoting health and disease management are traditionally resource intensive and difficult to scale. Mobile health apps are being used for these purposes; however, their effects on health outcomes have been mixed.ObjectiveThis study aims to summarize the evidence of rigorously evaluated health-related apps on health outcomes and explore the effects of features present in studies that reported a statistically significant difference in health outcomes.MethodsA literature search was conducted in 7 databases (MEDLINE, Scopus, PsycINFO, CINAHL, Global Index Medicus, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews). A total of 5 reviewers independently screened and extracted the study characteristics. We used a random-effects model to calculate the pooled effect size estimates for meta-analysis. Sensitivity analysis was conducted based on follow-up time, stand-alone app interventions, level of personalization, and pilot studies. Logistic regression was used to examine the structure of app features.ResultsFrom the database searches, 8230 records were initially identified. Of these, 172 met the inclusion criteria. Studies were predominantly conducted in high-income countries (164/172, 94.3%). The majority had follow-up periods of 6 months or less (143/172, 83.1%). Over half of the interventions were delivered by a stand-alone app (106/172, 61.6%). Static/one-size-fits-all (97/172, 56.4%) was the most common level of personalization. Intervention frequency was daily or more frequent for the majority of the studies (123/172, 71.5%). A total of 156 studies involving 21,422 participants reported continuous health outcome data. The use of an app to modify behavior (either as a stand-alone or as part of a larger intervention) confers a slight/weak advantage over standard care in health interventions (standardized mean difference=0.38 [95% CI 0.31-0.45]; I2=80%), although heterogeneity was high.ConclusionsThe evidence in the literature demonstrates a steady increase in the rigorous evaluation of apps aimed at modifying behavior to promote health and manage disease. Although the literature is growing, the evidence that apps can improve health outcomes is weak. This finding may reflect the need for improved methodological and evaluative approaches to the development and assessment of health care improvement apps.Trial RegistrationPROSPERO International Prospective Register of Systematic Reviews CRD42018106868; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=106868

Mobile Health Strategies to Tackle Skin Neglected Tropical Diseases With Recommendations From Innovative Experiences: Systematic Review.

BackgroundNeglected tropical diseases (NTDs) represent a diverse group of 20 communicable diseases that occur in tropical and subtropical areas in 149 countries, affecting over 1 billion people and costing developing economies billions of dollars every year. Within these diseases, those that present lesions on the skin surface are classified as skin NTDs (sNTDs). Mobile health interventions are currently being used worldwide to manage skin diseases and can be a good strategy in the epidemiological and clinical management of sNTDs.ObjectiveWe aimed to analyze existing evidence about mobile health interventions to control and manage sNTDs in low- and middle-income countries (LMICs) and make recommendations for what should be considered in future interventions.MethodsA systematic review was conducted of the MEDLINE, Embase, and Scopus databases over 10 years up to April 30, 2020. All types of clinical studies were considered. Data were synthesized into evidence tables. Apps were selected through a comprehensive systematic search in the Google Play Store and Apple App Store conducted between March 20 and April 15, 2020.ResultsFrom 133 potentially relevant publications, 13 studies met our criteria (9.8%). These analyzed eight different interventions (three SMS text messaging interventions and five app interventions). Six of the 13 (46%) studies were community-based cross-sectional studies intended to epidemiologically map a specific disease, mainly lymphatic filariasis, but also cutaneous leishmaniasis, leprosy, and NTDs, as well as sNTDs in general. Most of the studies were considered to have a high (5/13, 39%) or moderate (4/13, 31%) risk of bias. Fifteen apps were identified in the Google Play Store, of which three were also in the Apple App Store. Most of the apps (11/15, 73%) were targeted at health care professionals, with only four targeted at patients. The apps focused on scabies (3/15, 20%), lymphatic filariasis (3/15, 20%), cutaneous leishmaniasis (1/15, 7%), leprosy (1/15, 7%), yaws and Buruli ulcer (1/15, 7%), tropical diseases including more than one sNTDs (3/15, 20%), and NTDs including sNTDs (2/15, 13%). Only 1 (7%) app focused on the clinical management of sNTDs.ConclusionsAll mobile health interventions that were identified face technological, legal, final user, and organizational issues. There was a remarkable heterogeneity among studies, and the majority had methodological limitations that leave considerable room for improvement. Based on existing evidence, eight recommendations have been made for future interventions.

Mobile Apps to Reduce Tobacco, Alcohol, and Illicit Drug Use: Systematic Review of the First Decade.

BackgroundMobile apps for problematic substance use have the potential to bypass common barriers to treatment seeking. Ten years following the release of the first app targeting problematic tobacco, alcohol, and illicit drug use, their effectiveness, use, and acceptability remains unclear.ObjectiveThis study aims to conduct a systematic literature review of trials evaluating mobile app interventions for problematic tobacco, alcohol, and illicit drug use.MethodsThe review was conducted according to recommended guidelines. Relevant databases were searched, and articles were included if the mobile app study was a controlled intervention trial and reported alcohol, tobacco, or illicit drug consumption as outcomes.ResultsA total of 20 studies met eligibility criteria across a range of substances: alcohol (n=11), tobacco (n=6), alcohol and tobacco (n=1), illicit drugs (n=1), and illicit drugs and alcohol (n=1). Samples included the general community, university students, and clinical patients. The analyzed intervention sample sizes ranged from 22 to 14,228, and content was considerably diverse, from simple stand-alone apps delivering self-monitoring or psychoeducation to multicomponent apps with interactive features and audio content, or used as adjuncts alongside face-to-face treatment. Intervention duration ranged from 1 to 35 weeks, with notifications ranging from none to multiple times per day. A total of 6 of the 20 app interventions reported significant reductions in substance use at post or follow-up compared with a comparison condition, with small to moderate effect sizes. Furthermore, two other app interventions reported significant reductions during the intervention but not at post treatment, and a third reported a significant interaction of two app intervention components.ConclusionsAlthough most app interventions were associated with reductions in problematic substance use, less than one-third were significantly better than the comparison conditions at post treatment. A total of 5 out of the 6 apps that reported intervention effects targeted alcohol (of those, one targeted alcohol and illicit drugs and another alcohol and tobacco) and 1 targeted tobacco. Moreover, 3 out of 6 apps included feedback (eg, personalized) and 2 had high risk of bias, 1 some risk, and 3 low risk. All 6 apps included interventions of 6 weeks or longer. Common study limitations were small sample sizes; risk of bias; lack of relevant details; and, in some cases, poorly balanced comparison conditions. Appropriately powered trials are required to understand which app interventions are most effective, length of engagement required, and subgroups most likely to benefit. In sum, evidence to date for the effectiveness of apps targeting problematic substance use is not compelling, although the heterogeneous comparison conditions and trial designs across studies limit the ability to compare efficacy between apps. We discuss potential approaches that can help ascertain whether the promise of mobile app interventions for problematic substance use can be fulfilled.

Usability, Acceptability, and Adherence Rates of Mobile Application Interventions for Prevention or Treatment of Depression: A Systematic Review.

Mobile health applications (apps) have been growing as a new frontier in mental health care delivery. The objective of the current systematic review was to summarize the evidence regarding usability, acceptability, and adherence rates of mobile app interventions for prevention or treatment of depression. A literature search was conducted in relevant databases, including PubMed, PsycINFO, and Embase, for articles published between January 1, 2009, and August 1, 2019. Key terms used for searching included depression AND smartphone OR mobile AND application AND acceptability OR feasibility. Based on a full-text examination, seven studies were included for review. All studies were conducted in developed countries and five studies were developing a mobile app for depression treatment. The current study highlights the need for developers of mobile apps for individuals with mental health care needs to consider user acceptability and adherence rates. Innovation in designing a mobile app for individuals with depression is needed to improve the adherence rates of users. [Journal of Psychosocial Nursing and Mental Health Services, 59(2), 41-47.].

A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial

Exacerbations of COPD are one of the commonest causes of admission and readmission to hospital. The role of digital interventions to support self-management in improving outcomes is uncertain. We conducted an open, randomised controlled trial of a digital health platform application (app) in 41 COPD patients recruited following hospital admission with an acute exacerbation. Subjects were randomised to either receive usual care, including a written self-management plan (n = 21), or the myCOPD app (n = 20) for 90 days. The primary efficacy outcome was recovery rate of symptoms measured by COPD assessment test (CAT) score. Exacerbations, readmission, inhaler technique quality of life and patient activation (PAM) scores were also captured by a blinded team. The app was acceptable in this care setting and was used by 17 of the 20 patients with sustained use over the study period. The treatment effect on the CAT score was 4.49 (95% CI: −8.41, −0.58) points lower in the myCOPD arm. Patients’ inhaler technique improved in the digital intervention arm (101 improving to 20 critical errors) compared to usual care (100 to 72 critical errors). Exacerbations tended to be less frequent in the digital arm compared to usual care; 18 vs 34 events. Hospital readmissions risk was numerically lower in the digital intervention arm: OR for readmission 0.383 (95% CI: 0.074, 1.987; n = 35). In this feasibility study of the digital self-management platform myCOPD, the app has proven acceptable to patients to use and use has improved exacerbation recovery rates, with strong signals of lower re-exacerbation and readmission rates over 90 days. myCOPD reduced the number of critical errors in inhaler technique compared to usual care with written self-management. This provides a strong basis for further exploration of the use of app interventions in the context of recently hospitalised patients with COPD and informs the potential design of a large multi-centre trial.

Mobile-Application-Based Interventions for Patients With Hypertension and Ischemic Heart Disease: A Systematic Review.

Hypertension and ischemic heart disease are major causes of adult mortality. Related interventions to manage these conditions are important to implement during long, symptom-free periods. The recent proliferation of smartphones has spawned numerous health interventions that rely on mobile applications. This systematic review was designed to summarize and analyze research on interventions using mobile applications for patients with hypertension and ischemic heart disease. We searched for related studies published from January 2006 to August 2017 on MEDLINE, EMBASE, CINAHL, and three Korean databases. Seventeen studies were identified and evaluated against eligibility criteria that included a focus on patients with hypertension or ischemic heart disease and a discussion of the detailed effects of a mobile-app-based intervention. All of the identified studies were evaluated qualitatively using a methodology checklist. Twelve of the 17 studies were deemed as of acceptable quality according to the Scottish Intercollegiate Guideline Network quality assessment. According to the National Institutes of Health quality assessment tool, one article was of fair quality and four articles were of poor quality. Monitoring, education, and reminders were identified as application interventions. The effects of the app interventions were analyzed according to physiological factors, cognitive and behavioral factors, and psychological factors. Of the seven studies that measured blood pressure in patients with hypertension, five studies reported that the app-based interventions reduced blood pressure. Two of three studies showed a significant decrease of body mass index in patients with ischemic heart disease after the app-based interventions compared to the control group. Five of seven studies reported a significant change in medication adherence. Several studies showed different outcomes according to the disease, but the limited number of eligible studies was insufficient to demonstrate a conclusive effect. To ensure the long-term effects of mobile-application-based interventions, healthcare professionals should consider the functions of mobile applications. Moreover, because the focus of these interventions may differ based on the nature of the disease, it is recommended that the composition of interventions be tailored to the specific disease.