Risky Business: Increasing Fertility Knowledge of Men in the General Public Using the Mobile Health Application Infotility XY
Katya KruglovaEden Noah GelgootPeter ChanKirk LoZeev RosbergerÉmilie BélangerJordana KazdanStéphanie RobinsPhyllis Zelkowitz
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Abstract:
Male infertility presents a public health concern. As most men wish to become fathers, it is important to increase men’s awareness of infertility risk factors. We developed a mobile health application (mHealth app), Infotility XY, to promote men’s reproductive health. This study evaluates whether use of the app led to increased knowledge of infertility risk factors, and whether knowledge change was associated with participants’ sociodemographic characteristics and/or app usage. Participants were recruited between August and October 2020. Eligibility criteria included: identified as male; 18–45 years old; childless; no infertility history; able to read and write in English/French; had internet access. We assessed participants’ fertility knowledge before and after app use. App usage data were captured during the 2-week intervention period. Our sample included 49 men aged 18–45. Seventy-eight percent of participants had not previously sought fertility information. Participants viewed on average 75% of the app’s articles, and 96% of participants said the app increased their fertility knowledge. Before app use, 55% of men said they were aware of infertility risk factors, compared to 96% after app use. Men correctly identified more risk factors after app use compared to before, t(48) = 8.28, p < .001. Participants’ sociodemographic characteristics and amount of app usage were not associated with knowledge change. This study provides evidence of the feasibility of an mHealth app to improve men’s awareness of infertility risk factors. Given the positive relationship between male reproductive health and overall health, increased awareness of infertility risk factors may lead to men’s improved overall health.Keywords:
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This systematic review provides a chronological overview of how mhealth research has evolved with changes in mobile technologies. The review involved a PubMed search complemented by manual searching of all issues of the Journal of Medical Internet Research and Telemedicine Journal and eHealth , from inception to January 2015. Articles reporting the evaluation of mhealth interventions in any patient group for any health-related outcomes were analysed without restrictions on the study design. A total of 3476 publications were obtained from the PubMed search and manual searching of eHealth journals. Analysis was based on an abstract review of 515 (14.8%) original research articles, which fulfilled preset inclusion criteria. Three distinct time periods were identified on the basis of mobile devices used in mhealth research. Personal digital assistants (PDAs) dominated mhealth research in the years before 2007 (17 of 33 articles, 51.5%). Basic and feature phones were the main methods of mhealth intervention from 2007 to 2012 (95 of 193 articles, 49.2%). After 2012, smart devices (smartphones, tablet PCs and iPod touches) were highly used in mhealth research (173 of 289 articles, 59.9%). Despite a growing focus on infectious diseases and maternal and child health in the most recent years, non-communicable conditions continued to overshadow the trend of mhealth research. Overall, mHealth research has evolved over the past decade in terms of the mobile devices employed, health conditions addressed and its purpose. While chronic medical conditions have clearly been the focus of mhealth research, a shift in trends is expected as the application of mhealth interventions spreads to other under-studied areas. Future research should continue to leverage on the advancements and ubiquitous nature of mobile devices to make healthcare accessible to all.
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The use of mobile health (mHealth) applications, which provide opportunities to improve health and lessen health inequalities, is increasing. Studies assessing the readiness and ability of patients in Malaysia with chronic kidney disease (CKD) to use mobile phone apps to manage their health are limited.This study aimed to assess the readiness and ability to use mHealth apps among patients with CKD in north-east Peninsular Malaysia.A cross-sectional study was undertaken, using a convenience sample of 100 CKD medical inpatients in a tertiary teaching hospital. A structured, self-administered questionnaire on readiness and ability to use mHealth apps was adopted.Nearly one in five patients (18%) actively used health applications. More than three-quarters (77%) were aged >40 years and a similar proportion were ready to use mHealth apps (78%), and nearly half (46%) were confident about connecting their device to wifi. There was a correlation between ability and readiness to use mHealth apps (r=0.4; P<0.05).Fewer than half of participants had a good command of mHealth applications. Therefore, support on the use of these apps is needed, and healthcare managers need to consider this.
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Self-Management and Diabetes Mellitus mHealth, a Glance at the Present and a Glimpse into the Future
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mHealth is an emerging research field that attracts health caregivers, researchers and application developers. mHealth solutions are based on sensors, mobile devices, and wireless networks to provide healthcare services to patients. mHealth enables professionals to make appropriate decisions and interventions, and patients can manage their activities of daily living independently. Walking activity is a very important indicator to evaluate the physical activity of people for healthy lifestyle. We present in this paper the design of our smart-phone based system to monitor walking activity that constitutes an assistive mHealth solution to notify people about the current level of their walking activity. In addition, we briefly review known existing mHealth solutions in order to clarify the techniques used to build mHealth solutions. We also discuss few challenges that face mHealth solutions.
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In Germany, mHealth applications can be prescribed to patients since December 19, 2019 [1]. A meaningful taxonomy for the selection of a suitable mHealth application is not available in current mobile application stores. Additionally, the stores lack reliable content and quality controls. An adequate approach to determine the quality of mHealth applications has been missing since then. Presently, these facts prevent physicians from determining which mHealth applications are suitable for prescribing them to their patients. Following that, the question arises how existing technical approaches and regulations can be conjoined to provide a quality assured and low-distortion approach for the evaluation of mHealth applications. In this paper, we present mHealthAtlas, a multidisciplinary expert-based approach for the evaluation of the quality of mHealth applications, based on [2]. First, mHealthAtlas addresses the problems of undifferentiated mHealth taxonomies and proposes a solution for the differentiated classification of mHealth applications. Second, a score is proposed for a comparable quality assessment of mHealth applications. Third, the mHealthAtlas system and its mode of operation is presented.
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Mobile health (mHealth) technologies have the potential to greatly impact health research, health care, and health outcomes, but the exponential growth of the technology has outpaced the science. This article outlines two initiatives designed to enhance the science of mHealth. The mHealth Evidence Workshop used an expert panel to identify optimal methodological approaches for mHealth research. The NIH mHealth Training Institutes address the silos among the many academic and technology areas in mHealth research and is an effort to build the interdisciplinary research capacity of the field. Both address the growing need for high quality mobile health research both in the United States and internationally. mHealth requires a solid, interdisciplinary scientific approach that pairs the rapid change associated with technological progress with a rigorous evaluation approach. The mHealth Evidence Workshop and the NIH mHealth Training Institutes were both designed to address and further develop this scientific approach to mHealth.
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Mobile health (mHealth) apps that support individuals pursuing health and wellness goals, such as weight management, stress management, smoking cessation, and self-management of chronic conditions have been on the rise. Despite their potential benefits, the use of these tools has been limited, as most users stop using them just after a few times of use. Under this circumstance, achieving the positive outcomes of mHealth apps is less likely.The objective of this study was to understand continued use of mHealth apps and individuals' decisions related to this behavior.We conducted a qualitative longitudinal study on continued use of mHealth apps. We collected data through 34 pre- and postuse interviews and 193 diaries from 17 participants over two weeks.We identified 2 dimensions that help explain continued use decisions of users of mHealth apps: users' assessment of mHealth app and its capabilities (user experience) and their persistence at their health goals (intent). We present the key factors that influence users' assessment of an mHealth app (interface design, navigation, notifications, data collection methods and tools, goal management, depth of knowledge, system rules, actionable recommendations, and user system fit) and relate these factors to previous literature on behavior change technology design. Using these 2 dimensions, we developed a framework that illustrated 4 decisions users might make after initial interaction with mHealth apps (to abandon use, limit use, switch app, and continue use). We put forth propositions to be explored in future research on mHealth app use.This study provides insight into the factors that shape users' decisions to continue using mHealth apps, as well as other likely decision scenarios after the initial use experience. The findings contribute to extant knowledge of mHealth use and provide important implications for design of mHealth apps to increase long-term engagement of the users.
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Mobile health (mHealth) apps have great potential to improve health outcomes. Given that mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data concerning crucial metrics, including reasons for adoption and discontinued use, are limited. This study aims to gain broad insights into utilization of mHealth and game-like features promoting user engagement. We conducted a cross-sectional survey of 209 mHealth users worldwide. The 17-item survey assessed sociodemographics, as well as the key motivators for mHealth uptake and discontinued use. Our findings show that sports and fitness activity tracking were the most common categories of health apps, with most users engaging with them at least several times a week. Interestingly, the most downloaded mHealth apps among younger adults include MyFitnessPal, Fitbit, Nike Run Club, and Samsung Health. Critical drivers of abandonment of mHealth apps were amotivation, loss of interest, and experimenting with different apps to identify the most suitable tool. Additionally, the financial cost of mHealth apps is crucial, with most participants advocating for free or more affordable apps. The study findings suggest that while many individuals utilize mHealth, several factors drive their abandonment. Moreover, data indicate that mHealth developers need to consider gamification strategies to sustain user commitment, as well as psychological variables, such as intrinsic motivation.
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