Use Of Health Apps Research Articles

Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis.

BackgroundThe availability and use of health apps continues to increase, revolutionizing the way mobile health interventions are delivered. Apps are increasingly used to prevent disease, improve well-being, and promote healthy behavior. On a similar rise is the incidence of skin cancers. Much of the underlying risk can be prevented through behavior change and adequate sun protection. Self-monitoring apps have the potential to facilitate prevention by measuring risk (eg, sun intensity) and encouraging protective behavior (eg, seeking shade).ObjectiveOur aim was to assess health care consumer preferences for sun protection with a self-monitoring app that tracks the duration and intensity of sun exposure and provides feedback on when and how to protect the skin.MethodsWe conducted an unlabeled discrete choice experiment with 8 unique choice tasks, in which participants chose among 2 app alternatives, consisting of 5 preidentified 2-level attributes (self-monitoring method, privacy control, data sharing with health care provides, reminder customizability, and costs) that were the result of a multistep and multistakeholder qualitative approach. Participant preferences, and thus, the relative importance of attributes and their levels were estimated using conditional logit modeling. Analyses consisted of 200 usable surveys, yielding 3196 observations.ResultsOur respondents strongly preferred automatic over manually operated self-monitoring (odds ratio [OR] 2.37, 95% CI 2.06-2.72) and no cost over a single payment of 3 Swiss francs (OR 1.72, 95% CI 1.49-1.99). They also preferred having over not having the option of sharing their data with a health care provider of their choice (OR 1.66, 95% CI 1.40-1.97), repeated over single user consents, whenever app data are shared with commercial thirds (OR 1.57, 95% CI 1.31-1.88), and customizable over noncustomizable reminders (OR 1.30, 95% CI 1.09-1.54). While most participants favored thorough privacy infrastructures, the attribute of privacy control was a relatively weak driver of app choice. The attribute of self-monitoring method significantly interacted with gender and perceived personal usefulness of health apps, suggesting that female gender and lower perceived usefulness are associated with relatively weaker preferences for automatic self-monitoring.ConclusionsBased on the preferences of our respondents, we found that the utility of a self-monitoring sun protection app can be increased if the app is simple and adjustable; requires minimal effort, time, or expense; and has an interoperable design and thorough privacy infrastructure. Similar features might be desirable for preventive health apps in other areas, paving the way for future discrete choice experiments. Nonetheless, to fully understand these preference dynamics, further qualitative or mixed method research on mobile self-monitoring-based sun protection and broader preventive mobile self-monitoring is required.International Registered Report Identifier (IRRID)RR2-10.2196/16087

Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps.

BackgroundThe development and use of mobile health (mHealth) apps for asthma management have risen dramatically over the past two decades. Asthma apps vary widely in their content and features; however, prior research has rarely examined preferences of users of publicly available apps.ObjectiveThe goals of this study were to provide a descriptive overview of asthma mobile apps that are publicly available and to assess the usability of asthma apps currently available on the market to identify content and features of apps associated with positive and negative user ratings.MethodsReviews were collected on June 23, 2020, and included publicly posted reviews until June 21, 2020. To characterize features associated with high or low app ratings, we first dichotomized the average user rating of the asthma app into 2 categories: a high average rating and a low average rating. Asthma apps with average ratings of 4 and above were categorized as having a high average rating. Asthma apps with average ratings of less than 4 were categorized as having a low average rating. For the sentiment analysis, we modeled both 2-word (bi-gram) and 3-word (tri-gram) phrases which commonly appeared across highly rated and lowly rated apps.ResultsOf the 10 apps that met the inclusion criteria, a total of 373 reviews were examined across all apps. Among apps reviewed, 53.4% (199/373) received high ratings (average ratings of 4 or 5) and 47.2% (176/373) received low ratings (average ratings of 3 or less). The number of ratings across all apps ranged from 188 (AsthmaMD) to 10 (My Asthma App); 30% (3/10) of apps were available on both Android and iOS. From the sentiment analysis, key features of asthma management that were common among highly rated apps included the tracking of peak flow readings (n=48), asthma symptom monitoring (n=11), and action plans (n=10). Key features related to functionality that were common among highly rated apps included ease of use (n=5). Users most commonly reported loss of data (n=14) and crashing of app (n=12) as functionality issues among poorly rated asthma apps.ConclusionsOur study results demonstrate that asthma app quality, maintenance, and updates vary widely across apps and platforms. These findings may call into question the long-term engagement with asthma apps, a crucial factor for determining their potential to improve asthma self-management and asthma clinical outcomes.

Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment.

Pervasive health technologies can increase the effectiveness of personal health monitoring and training, but more user studies are necessary to understand the interest for these technologies, and how they should be designed and implemented. In the present study, we evaluated eWALL, a user-centered pervasive health technology consisting of a platform that monitors users’ physical and cognitive behavior, providing feedback and motivation via an easy-to-use, touch-based user interface. The eWALL was placed for one month in the home of 48 subjects with a chronic condition (chronic obstructive pulmonary disease—COPD or mild cognitive impairment—MCI) or with an age-related impairment. User acceptance, platform use, and potential clinical effects were evaluated using surveys, data logs, and clinical scales. Although some features of the platform need to be improved before reaching technical maturity and making a difference in patients’ lives, the real-life evaluation of eWALL has shown how some features may influence patients’ intention to use this promising technology. Furthermore, this study made it clear how the free use of different health apps is modulated by the real needs of the patient and by their usefulness in the context of the patient’s clinical status.

Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study.

BackgroundThe use of mobile health (mHealth) apps is becoming increasingly widespread. However, little is known about the attitudes, expectations, and basic acceptance of health care professionals toward such treatment options. As physical activity and behavior modification are crucial in osteoarthritis management, app-based therapy could be particularly useful for the self-management of this condition.ObjectiveThe objective of the study was to determine the expectations and attitudes of medical professionals toward app-based therapy for osteoarthritis of the hip or knee.MethodsHealth care professionals attending a rehabilitation congress and employees of a university hospital were asked to fill out a questionnaire consisting of 16 items. A total of 240 questionnaires were distributed.ResultsA total of 127 participants completed the questionnaire. At 95.3% (121/127), the approval rate for app-based therapy for patients with osteoarthritis of the hip or knee was very high. Regarding possible concerns, aspects related to data protection and privacy were primarily mentioned (41/127, 32.3%). Regarding potential content, educational units, physiotherapeutic exercise modules, and practices based on motivation psychology were all met with broad approval.ConclusionsThe study showed a high acceptance of app-based therapy for osteoarthritis, indicating a huge potential of this form of treatment to be applied, prescribed, and recommended by medical professionals. It was widely accepted that the content should reflect a multimodal therapy approach.

Digital Health Innovations to Improve Cardiovascular Disease Care.

Purpose of ReviewTo review the current evidence supporting the use of digital health technologies in cardiovascular disease (CVD) care.Recent FindingsStudies have evaluated the impact of the use of digital health technologies to improve CVD outcomes through several modalities: text-messaging programmes, smartphone applications (apps) and wearable devices. Text-messaging programmes are to date the most studied type of digital health interventions, and studies have demonstrated reduced CVD risk and improved medication adherence. Literature supporting the use of smartphone apps is also growing but remains limited, with some studies favouring the use of health apps but others showing negative results. Wearable devices are the latest type of technology investigated, and studies have shown positive outcomes in terms of physical activity and detection of arrhythmias.SummaryDigital health is a growing and evolving area of investigation. To date, the scientific evidence overall supports the use of such technologies in CVD care and management. Future research using new models are needed to continue to evaluate these new technologies.

Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review.

BackgroundGermany is the first country worldwide that has introduced a digital care act as an incentive system to enhance the use of digital health devices, namely health apps and wearables, among its population. The act allows physicians to prescribe statutory financed and previously certified health apps and wearables to patients. This initiative has the potential to improve treatment quality through better disease management and monitoring.ObjectiveThe aim of this paper was to outline the key concepts related to the potential risks and benefits discussed in the current literature about health apps and wearables. Furthermore, this study aimed to answer the research question: Which risks and benefits may result from the implementation of the digital care act in Germany?MethodsWe conducted the scoping study by searching the databases PubMed, Google Scholar, and JMIR using the keywords health apps and wearables. We discussed 55 of 136 identified articles published in the English language from 2015 to March 2019 in this paper using a qualitative thematic analysis approach.ResultsWe identified four key themes within the articles: Effectivity of health apps and wearables to improve health; users of health apps and wearables; the potential of bring-your-own, self-tracked data; and concerns and data privacy risks. Within these themes, we identified three main stages of benefits for the German health care system: Usage of health apps and wearables; continuing to use health apps and wearables; and sharing bring-your-own; self-tracked data with different agents in the health care sector.ConclusionsThe digital care act could lead to an improvement in treatment quality through better patient monitoring, disease management, personalized therapy, and better health education. However, physicians should play an active role in recommending and supervising health app use to reach digital-illiterate or health-illiterate people. Age must not be an exclusion criterion. Yet, concerns about data privacy and security are very strong in Germany. Transparency about data processing should be provided at all times for continuing success of the digital care act in Germany.

In Times of Crisis: Public Perceptions Towards COVID-19 Contact Tracing Apps in China, Germany and the US

The adoption of COVID-19 Contact Tracing Apps (CTAs) has been proposed as an important measure to contain the spread of COVID-19. Based on a cross-national dataset, this paper analyzes public perceptions towards CTAs and the factors that drive CTA acceptance in China, Germany, and the United States. Public acceptance is highest among Chinese respondents where 60 percent strongly accept the use of CTAs, while in Germany and the United States fewer than 20 percent strongly accept its use. Our study shows that the factors influencing these rates are similar in all three countries. Strong predictors of CTA acceptance are the perceived effectiveness of these apps, previous experience with CTAs and use of other health apps, concerns about privacy, and levels of trust in the state.

Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review.

BackgroundMobile health (mHealth) app use is a major concern because of the possible dissemination of misinformation that could harm the users. Particularly, it can be difficult for health care professionals to recommend a suitable app for coronavirus disease (COVID-19) education and self-monitoring purposes.ObjectiveThis study aims to analyze and evaluate the contents as well as features of COVID-19 mobile apps. The findings are instrumental in helping health care professionals to identify suitable mobile apps for COVID-19 self-monitoring and education. The results of the mobile apps’ assessment could potentially help mobile app developers improve or modify their existing mobile app designs to achieve optimal outcomes.MethodsThe search for the mHealth apps available in the android-based Play Store and the iOS-based App Store was conducted between April 18 and May 5, 2020. The region of the App Store where we performed the search was the United States, and a virtual private network app was used to locate and access COVID-19 mobile apps from all countries on the Google Play Store. The inclusion criteria were apps that are related to COVID-19 with no restriction in language type. The basic features assessment criteria used for comparison were the requirement for free subscription, internet connection, education or advisory content, size of the app, ability to export data, and automated data entry. The functionality of the apps was assessed according to knowledge (information on COVID-19), tracing or mapping of COVID-19 cases, home monitoring surveillance, online consultation with a health authority, and official apps run by health authorities.ResultsOf the 223 COVID-19–related mobile apps, only 30 (19.9%) found in the App Store and 28 (44.4%) in the Play Store matched the inclusion criteria. In the basic features assessment, most App Store (10/30, 33.3%) and Play Store (10/28, 35.7%) apps scored 4 out of 7 points. Meanwhile, the outcome of the functionality assessment for most App Store apps (13/30, 43.3%) was a score of 3 compared to android-based apps (10/28, 35.7%), which scored 2 (out of the maximum 5 points). Evaluation of the basic functions showed that 75.0% (n=36) of the 48 included mobile apps do not require a subscription, 56.3% (n=27) provide symptom advice, and 41.7% (n=20) have educational content. In terms of the specific functions, more than half of the included mobile apps are official mobile apps maintained by a health authority for COVID-19 information provision. Around 37.5% (n=18) and 31.3% (n=15) of the mobile apps have tracing or mapping and home monitoring surveillance functions, respectively, with only 17% (n=8) of the mobile apps equipped with an online consultation function.ConclusionsMost iOS-based apps incorporate infographic mapping of COVID-19 cases, while most android-based apps incorporate home monitoring surveillance features instead of providing focused educational content on COVID-19. It is important to evaluate the contents and features of COVID-19 mobile apps to guide users in choosing a suitable mobile app based on their requirements.

Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework for Health App Use of Cancer Patients and Their Caregivers: Framework Development Study.

BackgroundMultimedia interventions can provide a cost-effective solution to public health needs; however, user engagement is low. Multimedia use within specific populations such as those affected by cancer differs from that of the general population. To our knowledge, there are no frameworks on how to accurately assess usage within this population to ensure that interventions are appropriate for the end users. Therefore, a framework was developed to improve the accuracy of determining data usage. Formative work included creating a data usage framework during target audience testing for smartphone app development and analysis in a pilot study.ObjectiveThe purpose of this study was to develop a framework for assessing smartphone app usage among people living with cancer and their caregivers.MethodsThe frequency and duration of use were compared based on manual data extraction from two previous studies and the newly developed Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework.ResultsManual extraction demonstrated that 279 logins occurred compared with 241 when the ADUCI Framework was applied. The frequency of use in each section of the app also decreased when the ADUCI Framework was used. The total duration of use was 91,256 seconds (25.3 hours) compared with 53,074 seconds (14.7 hours) when using the ADUCI Framework. The ADUCI Framework identified 38 logins with no navigation, and there were 15 discrepancies in the data where time on a specific page of the app exceeded the login time. Practice recommendations to improve user engagement and capturing usage data include tracking data use in external websites, having a login function on apps, creating a five-star page rating functionality, using the ADUCI Framework to thoroughly clean usage data, and validating the Framework between expected and observed use.ConclusionsApplying the ADUCI Framework may eliminate errors and allow for more accurate analysis of usage data in e-research projects. The Framework can also improve the process of capturing usage data by providing a guide for usage data analysis to facilitate evidence-based assessment of user engagement with apps.

The Quantified Woman: Exploring Perceptions on Health App Use among Austrian Females of Reproductive Age

Smartphones have become the most important commodity for today’s digitalized society. Besides direct interpersonal communication, their most used features are third-party applications (apps). Apps for monitoring health parameters (health apps) are extremely popular, and their users are part of the Quantified Self movement. Little knowledge is available on how health apps are perceived by a female target audience, the Quantified Woman. We conducted a study among Austrian females of reproductive age (n = 150) to analyze prevalence, perceived benefits, and readiness for health app use. In the cross-sectional online German survey, nearly all participants used these apps (98.0%), predominantly for monitoring physical activity and female health (both 31.3%). For the latter, participants used a large variety of different apps for monitoring contraception and menstruation. Perceived benefits and readiness of health app use were only of medium range. Our study assessed aspects of health app use in an understudied segment of the general population. From a Public Health perspective, the Quantified Woman could be empowered by health data collection by enabling her to take active control over how her health graphs develop. We suggest assuring data security and privacy for sensitive female health data collected by health apps.

Leveraging Implementation Science to Understand Factors Influencing Sustained Use of Mental Health Apps: a Narrative Review.

Mental health (MH) smartphone applications (apps), which can aid in self-management of conditions such as depression and anxiety, have demonstrated dramatic growth over the past decade. However, their effectiveness and potential for sustained use remain uncertain. This narrative review leverages implementation science theory to explore factors influencing MH app uptake. The review is guided by the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework and discusses the role of the innovation, its recipients, context, and facilitation in influencing successful implementation of MH apps. The review highlights critical literature published between 2015 and 2020 with a focus on depression and anxiety apps. Sources were identified via PubMed, Google Scholar, and Twitter using a range of keywords pertaining to MH apps. Findings suggest that for apps to be successful, they must be advantageous over alternative tools, relatively easy to navigate, and aligned with users’ needs, skills, and resources. Significantly more attention must be paid to the complex contexts in which MH app implementation is occurring in order to refine facilitation strategies. The evidence base is still uncertain regarding the effectiveness and usability of MH apps, and much can be learned from the apps we use daily; namely, simpler is better and plans to integrate full behavioral treatments into smartphone form may be misguided. Non-traditional funding mechanisms that are nimble, responsive, and encouraging of industry partnerships will be necessary to move the course of MH app development in the right direction.

Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users.

Background The use of mobile apps for health and well-being has grown exponentially in the last decade, as such apps were reported to be ideal platforms for behavioral change and symptoms monitoring and management. Objective This study aimed to systematically review period tracking applications available at Google Play and Apple App Stores and determine the presence, features, and quality of these smartphone apps. In addition, behavioral changes associated with the top 5 rated apps were assessed. Methods This study used the Systematic Search Criteria through Google Play Store and iTunes Apple Store, using terms related to period tracking. Apps were scanned for matching the inclusion criteria and the included apps were assessed by two reviewers using the Mobile Application Rating Scale (MARS), a tool that was developed for classifying and assessing the quality of mHealth apps. Results Forty-nine apps met the inclusion criteria. Most of the apps enabled setting user goals, motivations, and interactivity, tracking multiple symptoms or mood changes, allowed notifications, and used graphs to illustrate the tracking result over a specific period of time. The majority of features and functions within these apps were offered for free, while some apps included limited in-app purchases or needed Internet connection to function. Certain apps were reported by participants to promote behavioral change and increase knowledge and awareness regarding monthly periods. Conclusions Period tracking apps were easy to use and navigate and can hence be readily adopted into routine tracking and management of periods. However, most apps were not based on significant evidence and may need further development to support period-related symptom management.

Understanding the drivers of m-Mental Health uptake among emerging adults

Abstract Background In the age of the ever-increasing prevalence of depressive symptoms and suicidal rates among young people, aiding this population to foster healthy mental well-being poses a key public health challenge. Since emerging adults generally tend to avoid offline help-seeking in case of mental health troubles, this population might especially benefit from m-Mental Health. The present study aimed to identify the determinants of the use of m-Mental Health apps among emerging adults and investigate the role of privacy and safety concerns of potential users in the highly confidential area of mental health. Methods A mixed design comprising an online survey and manipulation tested the new model among 229 adults aged 18-29 from 27 different countries. Results The SEM analysis indicated good model fit. Significant strong associations were found between Health Technology Efficacy, Health Technology Self-Efficacy, attitude toward mobile mental health and intention to use m-Mental Health. Health Technology Social Acceptance had a significant positive relationship with Health Technology Efficacy. Confidence in Health Technology negatively moderated the way Health Technology Efficacy shaped the attitude toward m-Mental Health. Conclusions When emerging adults are to decide whether or not to use an app to enhance their mental well-being, several factors come into play: Perceived efficacy of the app, positively linked with one's self-efficacy and social influence, predicts behavioural intention through the attitude toward m-Mental Health, while health technology self-efficacy is also directly related to the intention to use such an app. Moreover, the variable Confidence in Health Technology manifested its indispensable role within the model. Finally, the study disconfirmed the assumption that young people would be less confident in the app if they were confronted with signs of its profit-driven origin. Key messages The perspectives-bridging, variables-contextualizing approach is a promising avenue for investigating the drivers of e-Health uptake in various health domains, technologies, and populations. Young adults who believed in m-Mental Health apps in terms of safety and privacy were less influenced by the perceived efficacy of such apps with regard to their attitude and intention to use.

Self-reported bleeding on brushing as a predictor of bleeding on probing: Early observations from the deployment of an internet of things network of intelligent power-driven toothbrushes in a supportive periodontal care population.

BackgroundBleeding on brushing (BoB) is an important sign of gingival inflammation. Recently, the use of intelligent toothbrushes and oral health Apps has shown potential to improve oral and periodontal health. In the context of the introduction of an Internet of things network of intelligent power‐driven toothbrushes in a supportive periodontal care programme, the aim of this study was (a) to audit the adoption and retention of this new technology; and (b) to preliminarily assess the feasibility to gather data on BoB and associate them with clinical periodontal parameters.Methods100 subjects with different periodontal case diagnoses participating in supportive periodontal care (SPC) were provided with and instructed on the use of an intelligent power‐driven toothbrush connected with an App (I‐Brush). Brushing sessions and occurrence of BoB were recorded through the App and stored in a data protection compliant backend. Subject retention was audited over time. BoB recorded in the two weeks before the SPC appointment was associated with clinical parameters observed by the clinician blind to App data.Results75% of subjects provided data from using the power toothbrush and the App for a minimum of 10 brushing sessions over an average period of 362 days. Compared with baseline, subjects’ oral hygiene, bleeding on probing and prevalence of residual pockets improved gradually while using the I‐Brush. The number of BoB episodes in the two weeks leading to the SPC appointment and the number of residual pockets predicted BOP (p < .001) detected during the examination. App use in the previous two weeks was associated with lower plaque scores at SPC.ConclusionsThese preliminary observations indicate good adoption and retention of a mobile health system built around an intelligent power toothbrush in a SPC population. The App was able to gather clinically relevant information predicting the observed degree of gingival inflammation. Deployment of mHealth systems seems feasible in dental practice and may bring significant oral health benefits. More investigations are needed in this area.

Mobile and Online Health Information: Exploring Digital Media Use among Austrian Parents.

In today’s digitalized world, most parents are Internet-savvy and use online sources for child health information, mainly due to the 24/7 availability of advice. However, parents are often not specifically trained to identify reliable, evidence-based sources of information. In this cross-sectional online survey among a purposive, non-probabilistic sample of Austrian parents (n = 90, 81.1% females), we assessed aspects of health app use and family policy benefits-related and scenario-based Internet seeking behavior. We found that the surveyed parents showed a high health app use. The participants indicated that they prefer online information seeking to any other option in a scenario describing that their child would be sick at after-work hours, with social media channels being the least preferred source of online information. Mothers and younger parents were more likely to retrieve online information on family policy benefits. With the smartphone in everybody’s pocket, parents seemed to rely on mobile and online content when searching for child health information. Pediatricians are best suited to decide what treatment fits the child or their current medical condition, but nowadays they face increasing numbers of pre-informed parents seeking health information online. Provision of targeted parental education and guidance through the online information jungle could effectively empower parents and smooth personal and digital contacts in the delicate doctor–parent–child triangle.

The effect of symptom-tracking apps on symptom reporting.

The use of health apps is increasing worldwide, with a common feature being daily symptom tracking. However, symptom tracking has been shown to increase symptom reporting. This study investigated whether using a menstrual-monitoring app with a symptom-tracking feature increases symptom reporting compared to an app without this feature or no app at all. Experimental study. Ninety-one participants were randomly allocated to use either a menstrual-monitoring app with a symptom tracker or a simple calendar app, or to a no app control group. The number of period-related symptoms as well as general symptom reporting was assessed at baseline prior to group allocation and then 1 and 4months later. The change in the proportion of people classified as high symptom reporters was also examined. We found that the symptom-tracking app group reported significantly more period-related symptoms at 4months than the calendar app group (mean difference=1.16 symptoms, p=.010). At the 4-month time point, significantly more participants in the symptom-tracking group were now classified as high period symptom reporters (baseline 50%, 4months 70%, p=.031), while the other two groups did not change from baseline. There were no differences in general symptom reporting across the three groups. A period-monitoring app with a symptom tracker may increase the reporting of period symptoms. This effect does not appear to generalize to broader symptom reporting. Further research is needed to support these findings and to examine the impact of symptom-tracking apps on daily functioning and health anxiety. Statement of contribution What is already known on this subject? The experience of transient symptoms is common in day-to-day life. These symptoms often do not have an underlying cause or are a sign of illness. Actively tracking symptoms has been shown to result in greater symptom reporting, symptom severity, and slower recovery from injury. The use of health apps is increasing, with a common feature being symptom tracking. Menstrual-monitoring apps, in particular, frequently require users to track symptoms. What does this study add? Using a menstrual-monitoring app with a symptom tracker for 4months increases the number of period-specific symptoms reported compared a basic calendar app. A greater proportion of people were now classified as high period symptom reporters after using the symptom-tracking app. These effects do not seem to generalize to broader non-specific symptom reporting.

Perceptions and Attitudes Toward a Mobile Phone App for Mental Health for College Students: Qualitative Focus Group Study.

BackgroundMany college students who have mental health issues do not receive professional care for various reasons. Students who do not receive help often have both short- and long-term adverse health outcomes. Mobile apps for mental health services such as MySSP, a service provided to college students through their university, may help eliminate barriers to seeking mental health care and result in more positive outcomes for college students.ObjectiveThis qualitative study aims to better understand college students’ perceptions and attitudes toward the adoption and use of a mobile phone app for mental health, MySSP, using the technology acceptance model (TAM).MethodsA series of nine focus groups were conducted with college students (N=30) between February and May 2019 at a large, public Midwestern university. The moderator’s guide was based on the TAM, and focus group sessions primarily focused on the use and knowledge of apps for mental health, specifically, MySSP. The focus group transcriptions were hand-coded to develop a set of themes that encompassed students’ perceptions and attitudes toward MySSP.ResultsThe analysis of the focus groups suggested the following themes: (1) existing awareness of the app, (2) perceived usefulness, (3) perceived ease of use, (4) attitudes toward apps for mental health and MySSP, and (5) social influence.ConclusionsThe results of this study provide deeper insights into the perceptions of a mobile app for mental health among college students. Future research should explore the specific contexts in which an app for mental health will be most effective for college students.

Needs and Requirements in the Designing of Mobile Interventions for Patients With Peripheral Arterial Disease: Questionnaire Study

BackgroundThe development of mobile interventions for noncommunicable diseases has increased in recent years. However, there is a dearth of apps for patients with peripheral arterial disease (PAD), who frequently have an impaired ability to walk.ObjectiveUsing a patient-centered approach for the development of mobile interventions, we aim to describe the needs and requirements of patients with PAD regarding the overall care situation and the use of mobile interventions to perform supervised exercise therapy (SET).MethodsA questionnaire survey was conducted in addition to a clinical examination at the vascular outpatient clinic of the West-German Heart and Vascular Center of the University Clinic Essen in Germany. Patients with diagnosed PAD were asked to answer questions on sociodemographic characteristics, PAD-related need for support, satisfaction with their health care situation, smartphone and app use, and requirements for the design of mobile interventions to support SET.ResultsOverall, a need for better support of patients with diagnosed PAD was identified. In total, 59.2% (n=180) expressed their desire for more support for their disease. Patients (n=304) had a mean age of 67 years and half of them (n=157, 51.6%) were smartphone users. We noted an interest in smartphone-supported SET, even for people who did not currently use a smartphone. “Information,” “feedback,” “choosing goals,” and “interaction with physicians and therapists” were rated the most relevant components of a potential app.ConclusionsA need for the support of patients with PAD was determined. This was particularly evident with regard to disease literacy and the performance of SET. Based on a detailed description of patient characteristics, proposals for the design of mobile interventions adapted to the needs and requirements of patients can be derived.

Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity

IntroductionA mixed-method, co-design approach to studying the adoption of mobile health (mHealth) technology among African-American (AA) women has not been fully explored. Qualitative data may contextualise existing knowledge surrounding perceptions...

Impact of Digital Divide on the Adoption of Online Patient Portals for Self-Motivated Patients.

ObjectivesOur study aimed to determine the effect of the digital divide in the adoption of online patient portals by motivated patients who wish to improve their health outcomes through the use of the Internet and information technology to assess determinants of low adoption rates of online portals and to explore social media use as a correlation to patient portal use.MethodsWe utilized data from the Health Information National Trends Survey (HINTS) 2017 and 2018. We performed a cross-sectional study analyzing the outcome variable of patient portal use with several predictor variables, namely, age, marital status, gender, mental health, education, Medicaid, income, number of people in household, trust, social media, chronic disease, and health app use. Basic descriptive statistics and logistic regression were performed using SPSS version 25.ResultsOur study found that low adoption rates go beyond the digital divide. A correlation exists between social media use and patient portal use, and the impact of previously identified factors on patients with self-motivation for health improvement.ConclusionsSelf-motivation is an important factor in patient portal use and access. Behavioral and motivational interventions geared towards the adoption of health information technology tools, such as online portals, can assist with improving the public health significance of these tools.