A Systematic Review of Fitness Apps and Their Potential Clinical and Sports Utility for Objective and Remote Assessment of Cardiorespiratory Fitness

BACKGROUND

Cardiorespiratory fitness (CRF) assessment provides key information regarding general health status that has high clinical utility. In addition, in the sports setting, CRF testing is needed to establish a baseline level, prescribe an individualized training program and monitor improvement in athletic performance. As such, the assessment of CRF has both clinical and sports utility. Technological advancements have led to increased digitization within healthcare and athletics. Nevertheless, further investigation is needed to enhance the validity and reliability of existing fitness apps for CRF assessment in both contexts.

OBJECTIVES

The present review aimed to (1) systematically review the scientific literature, examining the validity and reliability of apps designed for CRF assessment; and (2) systematically review and qualitatively score available fitness apps in the two main app markets. Lastly, this systematic review outlines evidence-based practical recommendations for developing future apps that measure CRF.

DATA SOURCES

The following sources were searched for relevant studies: PubMed, Web of Science®, ScopusTM, and SPORTDiscus, and data was also found within app markets (Google Play and the App Store).

STUDY ELIGIBILITY CRITERIA

Eligible scientific studies examined the validity and/or reliability of apps for assessing CRF through a field-based fitness test. Criteria for the app markets involved apps that estimated CRF.

STUDY APPRAISAL AND SYNTHESIS METHODS

The scientific literature search included four major electronic databases and the timeframe was set between 01 January 2000 and 31 October 2018. A total of 2796 articles were identified using a set of fitness-related terms, of which five articles were finally selected and included in this review. The app market search was undertaken by introducing keywords into the search engine of each app market without specified search categories. A total of 691 apps were identified using a set of fitness-related terms, of which 88 apps were finally included in the quantitative and qualitative synthesis.

RESULTS

Five studies focused on the scientific validity of fitness tests with apps, while only two of these focused on reliability. Four studies used a sub-maximal fitness test via apps. Out of the scientific apps reviewed, the SA-6MWTapp showed the best validity against a criterion measure (r = 0.88), whilst the InterWalk app showed the highest test-retest reliability (ICC range 0.85-0.86).

LIMITATIONS

Levels of evidence based on scientific validity/reliability of apps and on commercial apps could not be robustly determined due to the limited number of studies identified in the literature and the low-to-moderate quality of commercial apps.

CONCLUSIONS

The results from this scientific review showed that few apps have been empirically tested, and among those that have, not all were valid or reliable. In addition, commercial apps were of low-to-moderate quality, suggesting that their potential for assessing CRF has yet to be realized. Lastly, this manuscript has identified evidence-based practical recommendations that apps might potentially offer to objectively and remotely assess CRF as a complementary tool to traditional methods in the clinical and sports settings.

Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics

OBJECTIVE

The objective of this study was to systematically evaluate commercially available medication adherence apps for the inclusion of behavior change techniques (BCTs) and to conduct a usability analysis on a subset of apps with adolescents and young adults living with a chronic illness.

METHODS

Medication adherence apps were identified via a search of iTunes app store in August 2016. Seventy-five apps meeting initial inclusion criteria were independently coded by two researchers for the presence/absence of 26 BCTs. Twenty adolescents and young adults (ages: 13-20 years) with inflammatory bowel disease conducted usability testing on a subset of apps (n = 4).

RESULTS

Across 75 apps coded for presence/absence of 26 BCTs, only 7 unique BCTs were identified. The number of BCTs per app ranged from 2 to 6, with an average of 3.3 BCTs. In usability testing, quality ratings varied across apps. Medisafe received the highest average scores on engagement, functionality, aesthetics, and information subscales. Medisafe and MyTherapy ranked first and second, respectively, on overall quality and perceived impact ratings.

CONCLUSION

Content evaluation revealed only a limited number of BCTs that have been translated to medication adherence apps. Among apps with comparable content, clear user preferences emerged based on perceived quality and usability. Greater collaboration is needed between psychologists and health technologists to incorporate more evidence-based BCTs in apps. Findings also indicate a need for app developers to consider and incorporate the preferences of younger end users to improve app quality and engagement for pediatric populations.

Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis

OBJECTIVES

To investigate whether and how user data are shared by top rated medicines related mobile applications (apps) and to characterise privacy risks to app users, both clinicians and consumers.

DESIGN

Traffic, content, and network analysis.

SETTING

Top rated medicines related apps for the Android mobile platform available in the Medical store category of Google Play in the United Kingdom, United States, Canada, and Australia.

PARTICIPANTS

24 of 821 apps identified by an app store crawling program. Included apps pertained to medicines information, dispensing, administration, prescribing, or use, and were interactive.

INTERVENTIONS

Laboratory based traffic analysis of each app downloaded onto a smartphone, simulating real world use with four dummy scripts. The app's baseline traffic related to 28 different types of user data was observed. To identify privacy leaks, one source of user data was modified and deviations in the resulting traffic observed.

MAIN OUTCOME MEASURES

Identities and characterisation of entities directly receiving user data from sampled apps. Secondary content analysis of company websites and privacy policies identified data recipients' main activities; network analysis characterised their data sharing relations.

RESULTS

19/24 (79%) of sampled apps shared user data. 55 unique entities, owned by 46 parent companies, received or processed app user data, including developers and parent companies (first parties) and service providers (third parties). 18 (33%) provided infrastructure related services such as cloud services. 37 (67%) provided services related to the collection and analysis of user data, including analytics or advertising, suggesting heightened privacy risks. Network analysis revealed that first and third parties received a median of 3 (interquartile range 1-6, range 1-24) unique transmissions of user data. Third parties advertised the ability to share user data with 216 "fourth parties"; within this network (n=237), entities had access to a median of 3 (interquartile range 1-11, range 1-140) unique transmissions of user data. Several companies occupied central positions within the network with the ability to aggregate and re-identify user data.

CONCLUSIONS

Sharing of user data is routine, yet far from transparent. Clinicians should be conscious of privacy risks in their own use of apps and, when recommending apps, explain the potential for loss of privacy as part of informed consent. Privacy regulation should emphasise the accountabilities of those who control and process user data. Developers should disclose all data sharing practices and allow users to choose precisely what data are shared and with whom.

Client-Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence-Based Evaluation

The use of mobile devices and applications (apps) to monitor or assist in health behaviors is rapidly expanding in many areas of society. Clinicians desire evidence-based app recommendations for their clients to increase self-care and wellness management in such areas as mindfulness, weight loss and activity tracking, glycemic control, and consumer medication information. Given the constant influx of new apps into the major app repositories, clinicians need to be able to ensure the quality of information and interaction that occurs within the mobile health (mHealth) marketplace. The Mobile Application Rating Scale (MARS) and the user version of the scale are valid and reliable instruments used to examine the engagement, functionality, aesthetics, and quality of information in mHealth apps. MARS-rated apps can be readily available resources for busy clinicians to make app suggestions to assist clients on a variety of topics that promote improved outcomes. This article reviews the MARS instrument and utilization of the instrument by clinicians and summarizes several primary care and wellness apps that have been evaluated using this tool.

IDF Europe's position on mobile applications in diabetes

Over the last decade, advances in technology and connectivity have led to the boom of Internet-based and mobile applications (Apps) which have rendered access to information easier and faster and have changed our daily lives. With 60 million people living with diabetes (PWD) in Europe and 32 million more at risk, diabetes has been a major target for software companies, with the aim to help people manage their chronic condition, and to prevent diabetes in people at risk. IDF Europe is the voice of 70 national associations, representing PWD and health professionals in 47 European countries, and a strong supporter of innovation in healthcare. Witnessing the emergence of Apps in the field of diabetes, given the general uptake of a connected lifestyle, and recognising the potential in the ability of these Apps to make an impact on the lives of PWD, IDF Europe reflected on Mobile Applications in Diabetes, examining Diabetes and new technology through psychology, motivation and behavioral change in diabetes management; the healthcare professional perspective; potential roles of diabetes-related Apps, pointing to existing evidence and important ethical issues; and finally offering recommendations on four levels: individual, healthcare professional, political and App developers.

Patient Adherence to a Mobile Phone-Based Heart Failure Telemonitoring Program: A Longitudinal Mixed-Methods Study

BACKGROUND

Telemonitoring (TM) can improve heart failure (HF) outcomes by facilitating patient self-care and clinical decision support. However, these outcomes are only possible if patients consistently adhere to taking prescribed home readings.

OBJECTIVE

The objectives of this study were to (1) quantify the degree to which patients adhered to taking prescribed home readings in the context of a mobile phone-based TM program and (2) explain longitudinal adherence rates based on the duration of program enrollment, patient characteristics, and patient perceptions of the TM program.

METHODS

A mixed-methods explanatory sequential design was used to meet the 2 research objectives, and all explanatory methods were guided by the unified theory of acceptance and use of technology 2 (UTAUT2). Overall adherence rates were calculated as the proportion of days patients took weight, blood pressure, heart rate, and symptom readings over the total number of days they were enrolled in the program up to 1 year. Monthly adherence rates were also calculated as the proportion of days patients took the same 4 readings over each 30-day period following program enrollment. Next, simple and multivariate regressions were performed to determine the influence of time, age, sex, and disease severity on adherence rates. Additional explanatory methods included questionnaires at 6 and 12 months probing patients on the perceived benefits and ease of use of the TM program, an analysis of reasons for patients leaving the program, and semistructured interviews conducted with a purposeful sampling of patients (n=24) with a range of adherence rates and demographics.

RESULTS

Overall average adherence was 73.6% (SD 25.0) with average adherence rates declining over time at a rate of 1.4% per month (P<.001). The multivariate regressions found no significant effect of sex and disease severity on adherence rates. When grouping patients' ages by decade, age was a significant predictor (P=.04) whereby older patients had higher adherence rates over time. Adherence rates were further explained by patients' perceptions with regard to the themes of (1) performance expectancy (improvements in HF management and peace of mind), (2) effort expectancy (ease of use and technical issues), (3) facilitating conditions (availability of technical support and automated adherence calls), (4) social influence (support from family, friends, and trusted clinicians), and (5) habit (degree to which taking readings became automatic).

CONCLUSIONS

The decline in adherence rates over time is consistent with findings from other studies. However, this study also found adherence to be the highest and most consistent over time in older age groups and progressively lower over time for younger age groups. These findings can inform the design and implementation of TM interventions that maximize patient adherence, which will enable a more accurate evaluation of impact and optimization of resources.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/resprot.9911.

Impact of a Novel Smartphone App (CureApp Smoking Cessation) on Nicotine Dependence: Prospective Single-Arm Interventional Pilot Study

BACKGROUND

Mobile apps have been considered to provide active and continuous support for smoking cessation. However, it is yet to be known whether a smoking cessation smartphone app improves long-term abstinence rates in nicotine-dependent patients.

OBJECTIVE

This study aimed to evaluate the long-term abstinence effect of a novel smartphone app, CureApp Smoking Cessation (CASC), in patients with nicotine dependence.

METHODS

In this prospective, interventional, multicenter, single-arm study, we provided the CASC app to all the participants, who used it daily for 24 weeks. The CASC app includes features to maximize the therapeutic effect of pharmacological therapies and counseling at outpatient clinics for smoking cessation. The primary endpoint was a continuous abstinence rate (CAR) from weeks 9 to 24, whereas secondary endpoints were CARs from weeks 9 to 12 and 9 to 52.

RESULTS

Of the 56 adult smokers recruited, 1 did not download the app; therefore, 55 participants constituted the full analysis sample. The CAR from weeks 9 to 24 was 64% (35/55, 95% CI 51%-76%), whereas the CARs from weeks 9 to 12 and 9 to 52 were 76% (42/55, 95% CI 65%-88%) and 58% (32/55, 95% CI 46%-71%), respectively. These CARs were better than the results of the national survey on outpatient clinics with regard to smoking cessation under the National Health Insurance Program and that of the varenicline phase 3 trial in Japan and the United States. There was only 1 participant who dropped out during the 12 weeks of the treatment period. This treatment decreased the scores related to withdrawal and craving symptoms.

CONCLUSIONS

The addition of CASC to usual smoking cessation therapies resulted in high CARs, high patient retention rates, and improvement of cessation-related symptoms. The smartphone app CASC is a feasible and useful tool to help long-term continuous abstinence that can be combined with a standard smoking cessation treatment program.

Asthma and Allergy Mobile Apps in 2018

PURPOSE OF REVIEW

This paper offers a comprehensive review of interactive mobile allergy and asthma smartphone applications available within the USA in 2018, with an emphasis on interactive asthma apps.

RECENT FINDINGS

Primary care and specialty clinicians interested in introducing digital health apps into their practices will soon have more choices, for Apple® and major electronic medical record software companies are investing heavily in the mobile medical marketplace, guaranteeing personal health information and access to care will always be immediately available in one's digital hand. Interactive mobile asthma applications are valuable assets for patients and caregivers alike, for they offer immediate communications between patients and those responsible for providing for their needs.

Mobile Health Application and e-Health Literacy: Opportunities and Concerns for Cancer Patients and Caregivers

Health literacy is critical for cancer patients as they must understand complex procedures or treatment options. Caregivers' health literacy also plays a crucial role in caring for cancer patients. Low health literacy is associated with low adherence to medications, poor health status, and increased health care costs. There is a growing interest in the use of mobile health applications (apps) to improve health literacy. Mobile health apps can empower underserved cancer patients and their caregivers by providing features or functionalities to enhance interactive patient-provider communication and to understand medical information more readily. Despite the potentiality of improving health literacy through mobile health apps, there exist several related concerns: no equal access to mobile technology, no familiarity or knowledge of using mobile health apps, and privacy and security concerns. These elements should be taken into account for health policy making and mobile apps design and development. Importantly, mobile apps should be developed with the goal of achieving a high range of user access by considering all health literacy level and various cultural and linguistic needs.

Development of a Rating Tool for Mobile Cancer Apps: Information Analysis and Formal and Content-Related Evaluation of Selected Cancer Apps

Mobile apps are offered in large numbers and have different qualities. The aim of this article was to develop a rating tool based on formal and content-related criteria for the assessment of cancer apps and to test its applicability on apps. After a thorough analysis of the literature, we developed a specific rating tool for cancer apps based on the MARS (mobile app rating system) and a rating tool for cancer websites. This instrument was applied to apps freely available in stores and focusing on some cancer topic. Ten apps were rated on the basis of 22 criteria. Sixty percent of the apps (6/10) were rated poor and insufficient. The rating by different scientists was homogenous. The good apps had reliable sources were regularly updated and had a concrete intent/purpose in their app description. In contrast, the apps that were rated poor had no distinction of scientific content and advertisement. In some cases, there was no imprint to identify the provider. As apps of poor quality can give misinformation and lead to wrong treatment decisions, efforts have to be made to increase usage of high-quality apps. Certification would help cancer patients to identify reliable apps, yet acceptance of a certification system must be backed up.

Mobile educational follow-up application for patients with peripheral arterial disease

OBJECTIVE

to describe the development of a prototype mobile educational application for nursing follow-up aimed at patients diagnosed with peripheral arterial disease.

METHOD

a prototype-based technological production study. The construction followed the contextualized instructional design model using two steps: analysis and design and development.

RESULTS

the pedagogical content of the application was based on a survey of needs of patients with Peripheral Arterial Disease and treatments recommended in the literature. The prototype developed contained concepts, risk factors, signs and symptoms, treatment, importance of medications and their side effects, frequent doubts, necessary health care, and follow-up of patients by monitoring the evolution of the cicatricial process of lesions and possible complications, clarification of doubts and stimulus for continuation of treatment.

CONCLUSION

the use of health applications is a technological tool with the potential to improve the follow-up of patients regarding the progress of the disease and self-care, monitoring of risk factors, co-participation of the patient in the treatment, family participation, as well as planning of individualized care, and cost reduction for the health system.

Examining Diabetes Management Apps Recommended From a Google Search: Content Analysis

BACKGROUND

The availability of smartphone health apps empowers people to manage their own health. Currently, there are over 300,000 health apps available in the market targeting a variety of user needs from weight loss to management of chronic conditions, with diabetes being the most commonly targeted condition. To date, health apps largely fall outside government regulation, and there are no official guidelines to help clinicians and patients in app selection. Patients commonly resort to the internet for suggestions on which diabetes app to use.

OBJECTIVE

The objective of this study was to investigate apps identified through a Google search and characterize these apps in terms of features that support diabetes management.

METHODS

We performed a Google search for the "best diabetes apps 2017" and explored the first 4 search results. We identified and compiled a list of the apps recommended in the returned search results, which were Web articles. Information about each app was extracted from the papers and corresponding app store descriptions. We examined the apps for the following diabetes management features: medication management, blood glucose self-management, physical activity, diet and nutrition, and weight management.

RESULTS

Overall, 26 apps were recommended in 4 papers. One app was listed in all 4 papers, and 3 apps appeared on 3 of the 4 lists. Apart from one paper, there were no explicit criteria to justify or explain the selection of apps. We found a wide variation in the type and the number of diabetes management features in the recommended apps. Five apps required payment to be used. Two-thirds of the apps had blood glucose management features, and less than half had medication management features. The most prevalent app features were nutrition or diet-related (19/24, 79%) and physical activity tracking (14/24, 58%).

CONCLUSIONS

The ambiguity of app selection and the wide variability in key features of the apps recommended for diabetes management may pose difficulties for patients when selecting the most appropriate app. It is critical to involve patients, clinicians, relevant professional bodies, and policy makers to define the key features an app should have for it to be classified as a "diabetes management" app. The lessons learned here may be extrapolated for the development and recommendation of apps for the management of other chronic conditions.

Breast, Prostate, and Colorectal Cancer Survivors' Experiences of Using Publicly Available Physical Activity Mobile Apps: Qualitative Study

BACKGROUND

Physical activity (PA) can improve a range of outcomes following a cancer diagnosis. These include an improvement in experience of side effects of treatment (eg, fatigue) and management of comorbid conditions. PA might also increase survival and reduce recurrence. Digital interventions have shown potential for PA promotion among cancer survivors, but most in a previous review were Web-based, and few studies used mobile apps. There are many PA apps available for general public use, but it is unclear whether these are suitable as a PA intervention after a cancer diagnosis.

OBJECTIVE

This study sought posttreatment nonmetastatic breast, prostate, and colorectal cancer survivors' opinions of using smartphone apps to promote PA and gathered their views on existing publicly available PA apps to inform a future intervention.

METHODS

Each participant was randomly assigned to download 2 of 4 apps (Human, The Walk, The Johnson & Johnson Official 7 Minute Workout, and Gorilla Workout). Participants used each app for 1 week consecutively. In-depth semistructured telephone interviews were then conducted to understand participants' experiences of using the apps and how app-based PA interventions could be developed for cancer survivors. The interviews were analyzed using thematic analysis.

RESULTS

Thirty-two participants took part: 50% (16/32) had prostate cancer, 25% (8/32) had breast cancer, and 25% (8/32) had colorectal cancer. Three core themes were identified. The first theme was that multiple factors affect engagement with PA apps and this is highly personalized. Factors affecting engagement included participants' perceptions of (1) the advantages and disadvantages of using apps to support PA, (2) the relevance of the app to the user (eg, in terms of cancer-related factors, their PA goals, the difficulty level of the app, the way in which they interact with their mobile phone, and the extent to which the app fits with their self-identity), (3) the quality of the app (eg, usability, accuracy, quality of production, and scientific evidence-base), and (4) the behavior change techniques used to promote PA. In the second theme, participants recommended that apps that promote walking are most appealing, as walking removes many barriers to PA. Finally, the participants suggested that PA apps should be integrated into cancer care, as they valued guidance and recommendations from health care professionals.

CONCLUSIONS

This sample of breast, prostate, and colorectal cancer survivors was receptive to the use of apps to promote PA. Although no publicly available PA app was deemed wholly suitable, many suggestions for adaptation and intervention development were provided. The results can inform the development of an app-based PA intervention for cancer survivors. They also highlight the wide-ranging and dynamic influences on engagement with digital interventions, which can be applied to other evaluations of mobile health products in other health conditions and other health behaviors.

Adoption and Use of Mobile Learning in Continuing Professional Development by Health and Human Services Professionals

INTRODUCTION

Health and human services professionals are increasingly using mobile devices to support clinical decision-making and evidence-based practice. However, research on self-directed learning in an era of growing digital technology utilization is underdeveloped. This study explored the adoption and use of mobile learning as a continuing professional development (CPD) activity.

METHODS

A mixed-methods case study using semistructured interviews and a web-based questionnaire was conducted with health and human services professionals in Newfoundland and Labrador, Canada.

RESULTS

Respondents reported using a smartphone (53.8%), tablets (50.4%), YouTube (43.0%), and mobile apps (35.8%) for CPD. The highest-rated benefits of mobile learning included improved access to information (M = 3.51); potential for enhanced knowledge acquisition (M = 3.45); staying up to date (M = 3.44); and verifying information (M = 3.40). The greatest barriers included cost of some apps and resources (M = 3.07); websites/programs not functional on mobile devices (M = 2.84); workplace barriers preventing access to digital resources (M = 2.82); and social media use linked to negative perceptions of professionalism (M = 2.65). Interview respondents described the flexibility and convenience of mobile learning, the level of autonomy it offered, and the advantages of learning on their own time. Technical issues, particularly for rural and remote practitioners, and digital professionalism also emerged as potential barriers.

DISCUSSION

A systems model organizes the factors influencing the adoption and use of mobile devices and resources to support "just-in-time" learning. Addressing policies, practices, and regulations that enable or inhibit adoption of mobile learning for CPD may foster enhanced use to support better clinical decision-making, improved accuracy, and greater patient safety.

Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis

Over a third of adults go online to diagnose their health condition. Direct-to-consumer (DTC), interactive, diagnostic apps with information personalization capabilities beyond those of static search engines are rapidly proliferating. While these apps promise faster, more convenient and more accurate information to improve diagnosis, little is known about the state of the evidence on their performance or the methods used to evaluate them. We conducted a scoping review of the peer-reviewed and gray literature for the period January 1, 2014–June 30, 2017. We found that the largest category of evaluations involved symptom checkers that applied algorithms to user-answered questions, followed by sensor-driven apps that applied algorithms to smartphone photos, with a handful of evaluations examining crowdsourcing. The most common clinical areas evaluated were dermatology and general diagnostic and triage advice for a range of conditions. Evaluations were highly variable in methodology and conclusions, with about half describing app characteristics and half examining actual performance. Apps were found to vary widely in functionality, accuracy, safety and effectiveness, although the usefulness of this evidence was limited by a frequent failure to provide results by named individual app. Overall, the current evidence base on DTC, interactive diagnostic apps is sparse in scope, uneven in the information provided and inconclusive with respect to safety and effectiveness, with no studies of clinical risks and benefits involving real-world consumer use. Given that DTC diagnostic apps are rapidly evolving, rigorous and standardized evaluations are essential to inform decisions by clinicians, patients, policymakers and other stakeholders.

A secure heterogeneous mobile authentication and key agreement scheme for e-healthcare cloud systems

Heterogeneous mobile authentication is a crucial technique to securely retrieve the resource of e-healthcare cloud servers which are commonly implemented in a public key Infrastructure (PKI). Conventionally, a mobile data user can utilize a self-chosen password along with a portable device to request the access privilege of clouds. However, to validate the membership of users, a cloud server usually has to make use of a password table, which not only increases the burden of management, but also raises the possibility of information leakage. In this paper, we propose a secure heterogeneous mobile authentication and key agreement scheme for e-healthcare cloud systems. In our system structure, an e-healthcare cloud server of traditional PKIs does not have to store a password table. A legitimate data user only possesses a security token hardware and keeps an offline updatable password without using any private key. Our scheme is classified into the category of dynamic ID authentication techniques, since a data user is able to preserve his/her anonymity during authentication processes. We formally prove that the proposed mechanism fulfills the essential authenticated key exchange (AKE) security and owns lower computational costs. To further ensure the practical application security, an automatic security validation tool called AVISPA is also adopted to analyze possible attacks and pitfalls of our designed protocol.

Media messaging in diagnosis of acute CXR pathology: an interobserver study among residents

The objectives of the study were to determine whether diagnostic accuracy and reliability by on-call teams is affected by communicating chest radiograph (CXR) images via instant messaging on smartphones in comparison to viewing on a workstation. 12 residents viewed 100 CXR images each with a 24% positive rate for significant or acute findings sent to their phones via a popular instant messaging application and reported their findings if any. After an interval of 42 days they viewed the original DICOM images on personal computers and again reported their findings. There were no statistically significant differences in accuracy, agreement, sensitivity, specificity, positive predictive value or negative predictive value between desktop workstation viewed images and images sent via the mobile application. Media messaging is a useful adjunct for quick second opinions on radiological images, without significant decay in diagnostic accuracy. If technical, ethical and legal issues are addressed, it could be incorporated into practice as a useful adjunct.

A Behavior-Modification, Clinical-Grade Mobile Application to Improve Breast Cancer Survivors' Accountability and Health Outcomes

PURPOSE

Only 34% of breast cancer survivors engage in the recommended level of physical activity because of a lack of accountability and motivation. Methodist Hospital Cancer Health Application (MOCHA) is a smartphone tool created specifically for self-reinforcement for patients with cancer through the daily accounting of activity and nutrition and direct interaction with clinical dietitians. We hypothesize that use of MOCHA will improve the accountability of breast cancer survivors and help them reach their personalized goals.

PATIENTS AND METHODS

Women with stages I to III breast cancer who were at least 6 months post-active treatment with a body mass index (BMI) greater than 25 kg/m2 were enrolled in a 4-week feasibility trial. The primary objective was to demonstrate adherence during weeks 2 and 3 of the 4-week study period (14 days total). The secondary objective was to determine the usability of MOCHA according to the system usability scale. The exploratory objective was to determine weight loss and dietitian-participant interaction.

RESULTS

We enrolled 33 breast cancer survivors who had an average BMI of 31.6 kg/m2. Twenty-five survivors completed the study, and the average number of daily uses was approximately 3.5 (range, 0 to 12) times/day; participants lost an average of 2 lbs (+4 lbs to -10.6 lbs). The average score of usability (the second objective) was 77.4, which was greater than the acceptable level. More than 90% of patients found MOCHA easy to navigate, and 84% were motivated to use MOCHA daily.

CONCLUSION

This study emphasizes the importance of technology use to improve goal adherence for patients by providing real-time feedback and accountability with the health care team. MOCHA focuses on the engagement of the health care team and is integrated into clinical workflow. Future directions will use MOCHA in a long-term behavior modification study.

Review of mobile applications for optimizing the follow-up care of patients with diabetes

BACKGROUND

Several smartphone applications aim at facilitating communication between patients and healthcare providers. In this review, we evaluate and compare the most promising applications in the field of diabetes mellitus (DM) and obesity. Most applications monitor body weight, fasting or postprandial blood glucose, glycosylated hemoglobin (Hgb) A1c (HgbA1c), and units and types of insulin used.

METHODS

Nine clinically tested applications and two Web platforms were grouped into three categories that were evaluated and compared. Group 1 included seven applications focusing mainly on monitoring DM, fitness and weight, blood glucose levels, and HbA1c. Group 2 included two applications that focus on insulin dosage calculators and glucose self-monitoring tests. Group 3 included two web-platforms that interact with patients via SMS (short message service) messaging.

RESULTS

A common feature of the applications examined was the limited number of clinical parameters tested, the small number of subjects taking part in the evaluation, and the fact that the controls were not randomized. Furthermore, the interfaces of the applications varied and were not standardized. Finally, another common characteristic across applications was the lack of standardization of the interface and the overall structure due to language barriers, the devices usually having been designed around a specific language. Lastly, most applications lacked a critical mass of evaluators and were thus not worthy of being considered of serious clinical relevance.

CONCLUSIONS

The current smartphone applications for DM are characterized by a limited number of participants, a small number of parameters, and a lack of standardization.

Mobile persuasive technology for the teaching and learning in surgical safety: Content validation

BACKGROUND

Patient safety is a fundamental component of high-quality delivery of health care. However, despite scientific advances, surgical patients continue to face risks. Among the most common complications in surgery are operations on the wrong patient, performance of the wrong procedure or operation on the wrong surgical site, lack of adequate or required equipment, failure to prevent blood loss, and surgical items left inside patients. In this context, the planning and development of innovative educational strategies is important for prevention of adverse events and the improvement of surgical patient safety culture.

OBJECTIVE

To describe the process of validating the content of mobile technology for education about surgical safety.

METHODS

Content validation using the Delphi technique was carried out from December 2015 to January 2016 at a Federal University in South Brazil. Content development and animations were produced by the authors from a verification list for safety surgery and a safety surgery protocol. Twelve judges assessed five variables (Content, Language, Illustration, Layout and Motivation), for consensus on content validation. They evaluated quality of each item, using a rating scale consisting of five levels (1 to 5).

RESULTS

Two assessment rounds were done, with a mean content validity index (CVI) of 0.95 and 1.0 and a kappa index of >0.83 and >0.92, respectively. The judges provided positive comments about each phase of the study, most of comments highlights were: choice of very relevant subject matter, excellent quality of the material and the motivation that the material can provide to the target audience.

CONCLUSION

The study validated the content of learning technology by general consensus of judges with a high level of concordance among evaluated items. The application was considered adequate for educating students and health professionals about surgical safety.

The Accuracy of Smartphone Sound Level Meter Applications With and Without Calibration

PURPOSE

The purpose of this study is to determine the accuracy of smartphone sound level meter applications (SLMAs) with calibration features across stimulus levels and for ambient room noise measures in the clinical setting.

METHOD

The accuracy of 3 iOS-based smartphone SLMAs (SLMA1: Analyzer [Version 2.7.2, DSP Mobile], SLMA2: Sound Level Meter Pro [Version 2.2, Mint Muse LLC], and SLMA3: SPL Meter [Version 9.3, Andrew Smith, Studio Six Digital]), using a single smartphone device (iPhone 6S Model A1688, iOS 9.3.4, Apple), was evaluated with and without calibration using a 1000-Hz narrowband noise (NBN) and white noise (WN) stimuli over a range of sound levels (20-100 dB) and in ambient noise measures of 8 speech and hearing room environments. A simultaneous and corresponding SLMA and Type 1 sound level meter (SLM) measure per condition were documented with a photo image; each condition was replicated 5 times. Mean SLMA and SLM measures were compared. SLMA measures were considered accurate if within ± 2 dB of the SLM.

RESULTS

Measures of NBN and WN signals using these SLMAs were accurate at levels above 40-50 dB when calibrated. NBN and WN signals using some SLMAs were significantly (p < .05) more accurate with calibration at levels > 40 to 50 dB. SLMA measures with or without calibration adjustment were inaccurate and overestimated room ambient noise levels < 50 dB.

CONCLUSIONS

These findings suggest that some SLMAs are accurate for measuring NBN and WN stimuli within the range of 50-100 dB in sound-treated environments when calibrated. However, outcomes indicated that some SLMAs, even with calibration, overestimated low ambient noise levels and may not accurately verify quiet room environments < 50 dB for clinical services. These results should not be generalized for all smartphone types, and continued research on SLMAs using next-generation smartphone devices is warranted.

Measuring environmental noise from airports, oil and gas operations, and traffic with smartphone applications: laboratory and field trials

Environmental noise from sources such as traffic, airports, and oil and gas (O&G) operations is associated with nuisance and health concerns. Smartphones with external microphones have been recommended for environmental noise monitoring and may be useful tools for citizen science, but are not validated against reference methods. We evaluated laboratory performance of three smartphone/application (app) configurations recommended for environmental noise measurement. Two smartphone/app configurations were also compared to a reference sampler, a type 1 sound level meter (SLM) at ten outdoor sites with traffic, airport, and O&G noise. To evaluate performance, we compared the mean squared error, variance, bias, and Krippendorff's Alpha by smartphone/app combination and testing location for both audible (A-weighted) and low-frequency (C-weighted) noise. We observed that laboratory measurements were in strong agreement with a reference sampler. The field A-weighted noise level results had strong agreement with the SLM at several outdoor sites, but our C-weighted noise results ranged from moderate to substantial agreement. For our tested configurations, we find that smartphones with external microphones are reliable proxies for measuring A- and C-weighted noise in a laboratory setting. Outdoor performance depends on noise source type, weighting, and precision and accuracy needs of the investigation.