Identifying app components that promote physical activity: a group concept mapping study.

Background: Digital interventions are a promising avenue to promote physical activity in healthy adults. Current practices recommend to include end-users early on in the development process. This study focuses on the wishes and needs of users regarding an a mobile health (mHealth) application that promotes physical activity in healthy adults, and on the differences between participants who do or do not meet the World Health Organization's recommendation of an equivalent of 150 minutes of moderate intensity physical activity. Methods: We used a mixed-method design called Group Concept Mapping. In a first phase, we collected statements completing the prompt "In an app that helps me move more, I would like to see/ do/ learn the following…" during four brainstorming sessions with physically inactive individuals (n = 19). The resulting 90 statements were then sorted and rated by a new group of participants (n = 46). Sorting data was aggregated, and (dis)similarity matrices were created using multidimensional scaling. Hierarchical clustering was applied using Ward's method. Analyses were carried out for the entire group, a subgroup of active participants and a subgroup of inactive participants. Explorative analyses further investigated ratings of the clusters as a function of activity level, gender, age and education. Results: Six clusters of statements were identified, namely 'Ease-of-use and Self-monitoring', 'Technical Aspects and Advertisement', 'Personalised Information and Support', 'Motivational Aspects', 'Goal setting, goal review and rewards', and 'Social Features'. The cluster 'Ease-of-use and Self-monitoring' was rated highest in the overall group and the active subgroup, whereas the cluster 'Technical Aspects and Advertisement' was scored as most relevant in the inactive subgroup. For all groups, the cluster 'Social Features' was scored the lowest. Explorative analysis revealed minor between-group differences. Discussion: The present study identified priorities of users for an mHealth application that promotes physical activity. First, the application should be user-friendly and accessible. Second, the application should provide personalized support and information. Third, users should be able to monitor their behaviour and compare their current activity to their past performance. Fourth, users should be provided autonomy within the app, such as over which and how many notifications they would like to receive, and whether or not they want to engage with social features. These priorities can serve as guiding principles for developing mHealth applications to promote physical activity in the general population.

Assessment of Claimant, Clinical, and Financial Characteristics of Teleradiology Medical Malpractice Cases.

Background The increasing use of teleradiology has been accompanied by concerns relating to risk management and patient safety. Purpose To compare characteristics of teleradiology and nonteleradiology radiology malpractice cases and identify contributing factors underlying these cases. Materials and Methods In this retrospective analysis, a national database of medical malpractice cases was queried to identify cases involving telemedicine that closed between January 2010 and March 2022. Teleradiology malpractice cases were identified based on manual review of cases in which telemedicine was coded as one of the contributing factors. These cases were compared with nonteleradiology cases that closed during the same time period in which radiology had been determined to be the primary responsible clinical service. Claimant, clinical, and financial characteristics of the cases were recorded, and continuous or categorical data were compared using the Wilcoxon rank-sum test or Fisher exact test, respectively. Results This study included 135 teleradiology and 3474 radiology malpractices cases. The death of a patient occurred more frequently in teleradiology cases (48 of 135 [35.6%]) than in radiology cases (685 of 3474 [19.7%]; P < .001). Cerebrovascular disease was a more common final diagnosis in the teleradiology cases (13 of 135 [9.6%]) compared with the radiology cases (124 of 3474 [3.6%]; P = .002). Problems with communication among providers was a more frequent contributing factor in the teleradiology cases (35 of 135 [25.9%]) than in the radiology cases (439 of 3474 [12.6%]; P < .001). Teleradiology cases were more likely to close with indemnity payment (79 of 135 [58.5%]) than the radiology cases (1416 of 3474 [40.8%]; P < .001) and had a higher median indemnity payment than the radiology cases ($339 230 [IQR, $120 790-$731 615] vs $214 063 [IQR, $66 620-$585 424]; P = .01). Conclusion Compared with radiology cases, teleradiology cases had higher clinical and financial severity and were more likely to involve issues with communication. © RSNA, 2024 See also the editorial by Mezrich in this issue.

The use of medical health applications by primary care physicians in Israel: a cross-sectional study.

BACKGROUND: The use of medical health applications (mHealth apps) by patients, caregivers, and physicians is widespread. mHealth apps are often employed by physicians to quickly access professional knowledge, guide treatment, easily retrieve medical records, and monitor and manage patients. This study sought to characterize the use of mHealth apps among primary care physicians (PCPs) in Israel. The reasons for using apps and barriers to their use were also investigated. METHODS: From all MHS' PCPs, we randomly selected 700 PCPs and invited them to complete a questionnaire regarding the use of mHealth apps and attitudes toward them. RESULTS: From August 2020 to December 2020, 191 physicians completed the questionnaire (response rate 27.3%). 68.0% of PCPs reported using mHealth apps. Telemedicine service apps were the most frequently used. Medical calculators (used for clinical scoring) and differential diagnosis apps were the least frequently used. The most common reason for mHealth app use was accessibility, followed by time saved and a sense of information reliability. Among infrequent users of apps, the most common barriers reported were unfamiliarity with relevant apps and preference for using a computer. Concerns regarding information reliability were rarely reported by PCPs. Physician gender and seniority were not related to mHealth app use. Physician age was related to the use of mHealth apps. CONCLUSIONS: mHealth apps are widely used by PCPs in this study, regardless of physician gender or seniority. Information from mHealth apps is considered reliable by PCPs. The main barrier to app use is unfamiliarity with relevant apps and preference for computer use.

Telemedicine and social media: A contemporary analysis of the most shared content by internet users.

OBJECTIVE: To evaluate the telemedicine information published on the most popular social media platforms, during the second year of the COVID-19 pandemic. METHODS: We queried the BuzzSumo tool to identify related telemedicine article links that were shared most on social media, from February 2021 to February 2022. The PEMAT-P was used for the quality assessment of the most shared links. RESULTS: 125 links were eligible for the analysis. Facebook was the most used social media platform for sharing articles (median engagement: 1000). Most of the articles were published by magazines (n = 82, 65.6%) and the main topic addressed was general information (n = 49, 39.2%). In the subgroup analyses of the 34 most shared articles, Facebook was the most used social media platform (median engagement:1950), most of the articles were published by magazines (n = 24, 70.6%), whereas the main topic addressed was the prescription of the abortion pill (n = 9, 26.5%). According to the PEMAT-P tool, the median understandability and actionability score was 63.8 and 20%, respectively. CONCLUSIONS: The interest in telemedicine has increased all over the world, as evidenced by the high engagement in social media articles, recorded during the last year. However, the access to digital health services is still limited, the information provided is often not verified by an official entity and unable to fill the digital divide exacerbated by COVID 19 pandemic crisis. Hence, health policy should be developed or modified to ensure a more egalitarian Internet access for all citizens. Official medical institutions should standardize telemedicine regulation and online content to reduce the widespread of misleading information.

Mobile health: Is your next rehabilitation's specialist in your pocket?

The past few decades have witnessed an unprecedented surge in health-related mobile applications. However, most of these applications primarily focus on lifestyle domains such as sleep, fitness, and nutrition. A notable stride in this landscape involves the emergence of applications catering specifically to rehabilitation needs. This expert review aims to provide an encompassing overview of the wide spectrum of apps available for both assessment and rehabilitation. It delves into the existing constraints associated with these tools and deliberates on the potential avenues for future advancements and integration for future advancements and integration. The transformative potential of this mobile, affordable, and user-friendly technology in reshaping the field of rehabilitation sciences will be highlighted. This article underscores how harnessing these innovations can elevate accessibility and effectiveness in the rehabilitation processes, leading to improved overall outcomes and wellbeing.

Challenges Faced by Rural Health Care Providers Caring for Parkinson's Disease Patients in Neighbor Islands of Hawai'i.

When compared to their urban counterparts, rural regions have worse health outcomes and more challenges in health care access. As the only island state in the US, Hawai'i's unique geographic layout may magnify these disparities. However, there are limited publications on the impact of urban-rural disparities in health care in Hawai'i. The study team aimed to identify the challenges rural health care providers face when managing treatment of Parkinson's disease (PD), a complex disease. A self-administered survey was sent to 247 eligible providers who practiced in Hawai'i and prescribed PD medications from 2017-2019. The survey assessed: provider's comfort level in PD management; utilization and accessibility of health care services; perspective on barriers to PD care; and perspective on telemedicine. Providers were categorized into O'ahu providers (OP, urban) and neighbor island (Hawai'i, Kaua'i, and Maui) providers (NIP, rural). The final sample size was 44 providers (18% response rate). NIP were significantly less likely than OP to report access to social workers (P=.025), geriatric services (P=.001), and psychologist/psychiatrist/mental health professionals (P=.009). There were no statistical differences in: criteria used for PD diagnosis, resources utilized for PD education, and comfort in prescribing PD medications. The findings show that NIP are just as engaged and capable in providing PD care as OP. However, NIP encounter more limitations to accessibility, which can affect the quality of PD care that their rural patients receive. Further research is needed to understand how these limitations affect health-related outcomes in PD as well as other chronic diseases.

An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review.

BACKGROUND: The use of telemedicine technology has significantly increased in recent years, particularly during the Covid-19 pandemic. This study aimed to investigate the use of telemedicine technology for cancer patients during the Covid-19 pandemic. METHODS: This was a scoping review conducted in 2023. Various databases including PubMed, Web of Science, Scopus, Cochrane Library, Ovid, IEEE Xplore, ProQuest, Embase, and Google Scholar search engine were searched. All quantitative, qualitative, and mixed-method studies published in English between 2020 and 2022 were included. Finally, the needed data were extracted, and the results were synthesized and reported narratively. RESULTS: A total of 29 articles were included in this review. The results showed that teleconsultation, televisit, and telerehabilitation were common telemedicine services, and video conferencing and telephone were common technologies used in these studies. In most cases, patients and healthcare providers preferred these services compared to the face-to-face consultations due to their convenience and advantages. Furthermore, the findings revealed that in terms of clinical outcomes, telemedicine could effectively reduce anxiety, pain, sleep disorders, and hospital admission rates. CONCLUSION: The findings provided valuable insights into the various telemedicine technologies, services, users' perspectives, and clinical outcomes in cancer patients during the Covid-19 pandemic. Overall, the positive outcomes and users' satisfaction showed that the use of telemedicine technology can be expanded, particularly in cancer care. Future research needs to investigate both clinical and non-clinical effectiveness of using various telemedicine services and technologies for improving cancer care delivery, which can help to develop more successful strategies for implementing this technology.

Incorporating a Psychiatric Telehealth Simulation in a Family Nurse Practitioner Curriculum.

The prevalence of mental health disorders in primary care is high and challenges related to the COVID pandemic warrant further training of the family nurse practitioner. A telehealth simulation learning experience that included common primary care diagnoses in mental health-general anxiety, depression, and substance use disorder-was incorporated into a non-clinical behavioral health course. Formative evaluation provided by licensed nurse practitioners confirmed the need for improving interviewing techniques, engaging clients, and promoting safety among this population. Students' confidence during the encounter was measured using the Simulation Effectiveness Tool. Findings suggest a simulation learning experience is an effective resource for training nurse practitioner students to treat mental health disorders.

A fusion architecture to deliver multipurpose mobile health services.

Mobile Health (mHealth) services typically make use of customized software architectures, leading to development-dependent fragmentation. Nevertheless, irrespective of their specific purpose, most mHealth services share common functionalities, where standard pieces could be reused or adapted to expedite service deployment and even extend the follow-up of appearing conditions under the same service. To harness compatibility and reuse, this article presents a data fusion architecture proposing a common design framework for mHealth services. An exhaustive mapping of mHealth functionalities identified in the literature serves as starting point. The architecture is then conceptualized making use of the Joint Directors of Laboratories (JDL) data fusion model. The aim of the architecture is to exploit the multi-source data acquisition capabilities supported by smartphones and Internet of Things devices, and artificial intelligence-enabled feature fusion. A series of interconnected fusion layers ensure streamlined data management; each layer is composed of microservices which may be implemented or omitted depending on the specific goals of the healthcare service. Moreover, the architecture considers essential features related to authentication mechanisms, data sharing protocols, practitioner-patient communication, context-based notifications and tailored visualization interfaces. The effectiveness of the architecture is underscored by its instantiation for four real cases, encompassing risk assessment for youth with mental health issues, remote monitoring for SARS-CoV-2 patients, liquid intake control for kidney disease patients, and peritoneal dialysis treatment support. This breadth of applications exemplifies how the architecture can effectively serve as a guidance framework to accelerate the design of mHealth services.

Quality of life in the digital age: young adult hematopoietic stem cell transplantation patients and healthcare providers' views of telehealth.

PURPOSE: The COVID-19 pandemic shifted the healthcare field from in-person clinic visits to virtual-based telehealth appointments. This study explored young adult (YA) hematopoietic stem cell transplantation (HSCT) patient and physician communication preferences and quality of life. METHODS: One researcher conducted semi-structured interviews with n = 10 YA HSCT patients and n = 10 healthcare providers (HPs). HPs included physicians (n = 5) and advanced practice provider (APP) (nurse practitioners and physician assistants) (n = 5). Interviews lasted approximately 10-15 min, were held over Zoom®, and were audio-recorded. Interviews were professionally transcribed verbatim, and two independent researchers conducted a thematic analysis using Dedoose®. RESULTS: Common themes included the following: (1) convenience, (2) improved communication, (3) technology issues, and (4) quality of life for patients and physicians. In general, most patients (n = 7; 70%) preferred in-person visits over telehealth for initial appointments, stating they chose the "social connection" and "engagement" associated with in-person visits. For "check-ins" and follow-up appointments (n = 5; 50%), patients preferred hybrid appointments. Physicians (n = 4; 80%) preferred telehealth stating it was "convenient," "timesaving," and improved "compliance." In contrast, all APP staff (n = 5; 100%) preferred in-person visits, stating in-person improved "relationships" with patients and was more "convenient" than using electronic devices for telehealth. CONCLUSION: Providers differed in preference. APP personnel preferred in-person visits and HSCT physicians preferred telehealth appointments. YA HSCT patients preferred in-person for initial appointments and hybrid clinic visits for follow-up appointments.

Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review.

BACKGROUND: Wearable devices, mobile technologies, and their combination have been accepted into clinical use to better assess the physical fitness and quality of life of patients and as preventive measures. Usability is pivotal for overcoming constraints and gaining users' acceptance of technology such as wearables and their companion mobile health (mHealth) apps. However, owing to limitations in design and evaluation, interactive wearables and mHealth apps have often been restricted from their full potential. OBJECTIVE: This study aims to identify studies that have incorporated wearable devices and determine their frequency of use in conjunction with mHealth apps or their combination. Specifically, this study aims to understand the attributes and evaluation techniques used to evaluate usability in the health care domain for these technologies and their combinations. METHODS: We conducted an extensive search across 4 electronic databases, spanning the last 30 years up to December 2021. Studies including the keywords "wearable devices," "mobile apps," "mHealth apps," "physiological data," "usability," "user experience," and "user evaluation" were considered for inclusion. A team of 5 reviewers screened the collected publications and charted the features based on the research questions. Subsequently, we categorized these characteristics following existing usability and wearable taxonomies. We applied a methodological framework for scoping reviews and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. RESULTS: A total of 382 reports were identified from the search strategy, and 68 articles were included. Most of the studies (57/68, 84%) involved the simultaneous use of wearables and connected mobile apps. Wrist-worn commercial consumer devices such as wristbands were the most prevalent, accounting for 66% (45/68) of the wearables identified in our review. Approximately half of the data from the medical domain (32/68, 47%) focused on studies involving participants with chronic illnesses or disorders. Overall, 29 usability attributes were identified, and 5 attributes were frequently used for evaluation: satisfaction (34/68, 50%), ease of use (27/68, 40%), user experience (16/68, 24%), perceived usefulness (18/68, 26%), and effectiveness (15/68, 22%). Only 10% (7/68) of the studies used a user- or human-centered design paradigm for usability evaluation. CONCLUSIONS: Our scoping review identified the types and categories of wearable devices and mHealth apps, their frequency of use in studies, and their implementation in the medical context. In addition, we examined the usability evaluation of these technologies: methods, attributes, and frameworks. Within the array of available wearables and mHealth apps, health care providers encounter the challenge of selecting devices and companion apps that are effective, user-friendly, and compatible with user interactions. The current gap in usability and user experience in health care research limits our understanding of the strengths and limitations of wearable technologies and their companion apps. Additional research is necessary to overcome these limitations.

eHealth literacy of migrant domestic workers in Hong Kong in the COVID-19 pandemic: A mixed methods study.

BACKGROUND: Health communication in the COVID-19 pandemic can be effectively implemented if all members of the populations, including marginalized population such as migrant domestic workers (MDWs), have good eHealth literacy. Lessons learned during this critical period may help improve planning and mitigation of the impacts of future health crises. METHODS: This study aimed to examine and explore the eHealth literacy levels of the MDWs in Hong Kong during the COVID-19 pandemic by using a convergent mixed methods research design. A total of 1156 Hong Kong MDWs participated in a paper-based survey using a multistage cluster random sampling design for the quantitative component. eHealth literacy was measured using an eHealth literacy Scale (eHEALS). For the qualitative component, a purposive sampling of 19 MDWs participated in face-to-face, semi-structured, in-depth interviews. Descriptive statistics and multiple regression analyses were used to carry out the quantitative analysis, while thematic analysis was used for the qualitative analysis. Both quantitative and qualitative data were merged and integrated for mixed-methods analysis. RESULTS: The meta-inferences of the quantitative and qualitative results mainly confirmed that MDWs in Hong Kong had good levels of eHealth literacy. The use of Instagram, YouTube and WhatsApp as the COVID-19 information sources, in addition to having an interest in the topic of the current spread of COVID-19 together with the Hong Kong government's policies related to COVID-19, were found to be associated with eHealth literacy. CONCLUSIONS: The eHealth literacy level of MDWs in Hong Kong was shown to be good and it was influenced by the use of popular social media platforms including Instagram, YouTube, and WhatsApp. It is realistic to suggest that such platforms should be harnessed for health communication during the pandemic. Yet, regulations to combat false information on these media are also urgently needed.

Use of Ecological Momentary Assessment to Measure Dyspnea in COPD.

Dyspnea is an unpredictable and distressing symptom of chronic obstructive pulmonary disease (COPD). Dyspnea is challenging to measure due to the heterogeneity of COPD and recall bias associated with retrospective reports. Ecological Momentary Assessment (EMA) is a technique used to collect symptoms in real-time within a natural environment, useful for monitoring symptom trends and risks of exacerbation in COPD. EMA can be integrated into mobile health (mHealth) platforms for repeated data collection and used alongside physiological measures and behavioral activity monitors. The purpose of this paper is to discuss the use of mHealth and EMA for dyspnea measurement, consider clinical implications of EMA in COPD management, and identify needs for future research in this area.

Generalizability of Deep Neural Networks for Vertical Cup-to-Disc Ratio Estimation in Ultra-Widefield and Smartphone-Based Fundus Images.

Purpose: To develop and validate a deep learning system (DLS) for estimation of vertical cup-to-disc ratio (vCDR) in ultra-widefield (UWF) and smartphone-based fundus images. Methods: A DLS consisting of two sequential convolutional neural networks (CNNs) to delineate optic disc (OD) and optic cup (OC) boundaries was developed using 800 standard fundus images from the public REFUGE data set. The CNNs were tested on 400 test images from the REFUGE data set and 296 UWF and 300 smartphone-based images from a teleophthalmology clinic. vCDRs derived from the delineated OD/OC boundaries were compared with optometrists' annotations using mean absolute error (MAE). Subgroup analysis was conducted to study the impact of peripapillary atrophy (PPA), and correlation study was performed to investigate potential correlations between sectoral CDR (sCDR) and retinal nerve fiber layer (RNFL) thickness. Results: The system achieved MAEs of 0.040 (95% CI, 0.037-0.043) in the REFUGE test images, 0.068 (95% CI, 0.061-0.075) in the UWF images, and 0.084 (95% CI, 0.075-0.092) in the smartphone-based images. There was no statistical significance in differences between PPA and non-PPA images. Weak correlation (r = -0.4046, P < 0.05) between sCDR and RNFL thickness was found only in the superior sector. Conclusions: We developed a deep learning system that estimates vCDR from standard, UWF, and smartphone-based images. We also described anatomic peripapillary adversarial lesion and its potential impact on OD/OC delineation. Translational Relevance: Artificial intelligence can estimate vCDR from different types of fundus images and may be used as a general and interpretable screening tool to improve community reach for diagnosis and management of glaucoma.

Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey.

BACKGROUND: About 40% of people respond to stress by consuming more unhealthy foods. This behavior is associated with increased energy intake and the risk of obesity. As mobile health (mHealth) applications (apps) have been shown to be an easy-to-use intervention tool, the characterization of potential app users is necessary to develop target group-specific apps and to increase adherence rates. METHODS: This cross-sectional online survey was conducted in the spring of 2021 in Germany. Sociodemographic data and data on personality (Big Five Inventory, BFI-10), stress-eating (Salzburg Stress Eating Scale, SSES), and technology behavior (Personal Innovativeness in the Domain of Information Technology, PIIT; Technology Acceptance Model 3, TAM 3) were collected. RESULTS: The analysis included 1228 participants (80.6% female, mean age: 31.4 ± 12.8 years, mean body mass index (BMI): 23.4 ± 4.3 kg/m2). Based on the TAM score, 33.3% (409/1228) of the participants had a high intention to use a hypothetical mHealth app to avoid stress-overeating. These persons are characterized by a higher BMI (24.02 ± 4.47 kg/m2, p < 0.001), by being stress-overeaters (217/409, 53.1%), by the personality trait "neuroticism" (p < 0.001), by having specific eating reasons (all p < 0.01), and by showing a higher willingness to adopt new technologies (p < 0.001). CONCLUSION: This study suggests that individuals who are prone to stress-overeating are highly interested in adopting an mHealth app as support. Participants with a high intention to use an mHealth app seem to have a general affinity towards new technology (PIIT) and appear to be more insecure with conflicting motives regarding their diet. TRIAL REGISTRATION: This survey was registered in the German Clinical Trials Register (Registration number: DRKS00023984).

In-Person Visits Before Initiation of Telemedicine for Mental Illness.

This cross-sectional study examines how often patients had an in-person visit before initiating telemedicine for mental illness between 2019 and 2022.

Practical applications of teledentistry during the Covid-19 pandemic in ASEAN member states - a systematic review.

OBJECTIVE: The objective of this review is to determine the utilisation and adoption of teledentistry based solutions and technologies during the Covid-19 Pandemic in the Asean region. BACKGROUND: Teledentistry is a branch of telemedicine that has rapidly advanced in the last few years and has the potential to provide solutions to oral health problems of patients and locations that do not have prompt and immediate access to a dentist or dental services. The Covid-19 has increased the adaption of all digital health technologies and teledentistry is no exception. METHODOLOGY: The study utilized online databases such as Pubmed (Medline), Scopus (Embase) and CINAHL for the purpose of document search. Newcastle Ottawa (NOS) scale was used to determine the quality of the studies included in our systematic review. PRISMA guidelines were used as the criteria for reporting items in the systematic review. RESULTS: A total of 1297 documents were found after applying the search criteria and the keywords for the selected study. After applying the Prisma guidelines, removal of duplicates and irrelevant entries, 10 studies that were conducted during the Covid-19 pandemic were selected, fitting the inclusion criteria. All the studies included were evaluated for quality and risk of bias through the Newcastle Ottawa scale. Only high-quality studies were included for the final review. CONCLUSION: Teledentistry is a cost-effective solution to screen, diagnose and treat dental patients from a distance. Teledentistry also has the potential to continue seamless continuation of dental education to dental students, during disruptive and non-disruptive periods. ASEAN countries should fully utilise the potential of teledentistry, however sound and effective legislation would be the key first step to achieving that potential.

Problems and Barriers Related to the Use of mHealth Apps From the Perspective of Patients: Focus Group and Interview Study.

BACKGROUND: Since fall 2020, mobile health (mHealth) apps have become an integral part of the German health care system. The belief that mHealth apps have the potential to make the health care system more efficient, close gaps in care, and improve the economic outcomes related to health is unwavering and already partially confirmed. Nevertheless, problems and barriers in the context of mHealth apps usually remain unconsidered. OBJECTIVE: The focus groups and interviews conducted in this study aim to shed light on problems and barriers in the context of mHealth apps from the perspective of patients. METHODS: Guided focus groups and individual interviews were conducted with patients with a disease for which an approved mHealth app was available at the time of the interviews. Participants were recruited via self-help groups. The interviews were recorded, transcribed, and subjected to a qualitative content analysis. The content analysis was based on 10 problem categories ("validity," "usability," "technology," "use and adherence," "data privacy and security," "patient-physician relationship," "knowledge and skills," "individuality," "implementation," and "costs") identified in a previously conducted scoping review. Participants were asked to fill out an additional questionnaire about their sociodemographic data and about their use of technology. RESULTS: A total of 38 patients were interviewed in 5 focus groups (3 onsite and 2 web-based) and 5 individual web-based interviews. The additional questionnaire was completed by 32 of the participants. Patients presented with a variety of different diseases, such as arthrosis, tinnitus, depression, or lung cancer. Overall, 16% (5/32) of the participants had already been prescribed an app. During the interviews, all 10 problem categories were discussed and considered important by patients. A myriad of problem manifestations could be identified for each category. This study shows that there are relevant problems and barriers in the context of mHealth apps from the perspective of patients, which warrant further attention. CONCLUSIONS: There are essentially 3 different areas of problems in the context of mHealth apps that could be addressed to improve care: quality of the respective mHealth app, its integration into health care, and the expandable digital literacy of patients.