Usability of Commercially Available Mobile Applications for Diverse Patients

Digital Disparities in Healthcare: A Tale of the Haves and Have-Nots?

While the digitalization of healthcare and the advent of consumer-centered technologies have led to advancements in patient engagement, it is evident that certain, underprivileged segments of society might not be benefiting. The purpose of this review was to thus analyze the expanding data focusing on digital disparities in healthcare and was designed based on the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. First, a literature search of original, peer-reviewed publications was undertaken to identify studies pertaining to disparities in the utilization of digital technologies in healthcare using a variety of customized retrieval terms. Articles published from January 2014 to January 2024 were included. Subsequently, a total of 247 peer-reviewed studies were identified which were used to construct a framework for interpretation. The core themes could broadly be categorized into digital health portals (N = 74), telemedicine (N = 57), healthcare wearables (N = 49), digital intervention tools (N = 35), and virtual education (N = 32). While the potential of digital health to fundamentally transform the nature of patient-centric care is increasingly being recognized, the growing "digital divide" between the "haves" and "have-nots" with respect to nearly every facet of technology implementation raises concern regarding the perpetuation of inequities across society.

Integrating a Mobile App to Enhance Atrial Fibrillation Care: Key Insights From an Implementation Study Guided by the Consolidated Framework for Implementation Research

BACKGROUND

Despite the growing use of mobile health apps in managing chronic heart disease, their integration into routine care remains challenging due to dynamic, context-specific barriers.

OBJECTIVE

This study aimed to identify the key enablers and challenges of implementing a mobile app for cardiac rehabilitation and healthy lifestyles in patients with atrial fibrillation at an Australian cardiology clinic.

METHODS

We interviewed both clinicians and patients to understand their perspectives about the mobile app and what factors affected the implementation. The two semistructured interview guides used, one for clinicians and one for patients, were developed based on the Consolidated Framework for Implementation Research (CFIR) and nonadoption abandonment, scale-up, spread, and sustainability complexity assessment tool. All interviews were recorded and transcribed, and the transcripts were analyzed inductively to generate codes using a constructionist perspective. These codes were subsequently mapped onto the constructs within the CFIR across its five domains. This framework analysis was followed by examining the interconnections among the constructs to understand their collective impact on the implementation process, thereby identifying key enablers and challenges for the integration efforts.

RESULTS

We interviewed 24 participants including 18 patients, whose mean age was 69 (SD 9.2) years, and 6 clinicians, comprising 4 specialist cardiac electrophysiologists and 2 nurses. Patient engagement with the app varied: 3 participants completed the cardiac rehabilitation plan, 1 participant was still actively engaged, 2 participants had partial use, 10 participants downloaded but never used the app, and 2 participants did not download the app. We identified a complex interplay between key determinants across all five CFIR domains, collectively impacting two main elements in the implementation process: (1) acceptability and user engagement with the app and (2) the clinic's implementation readiness. The app was more likely to be accepted and used by patients who needed to establish healthy lifestyle habits. Those with established healthy lifestyle habits did not indicate that the app provided sufficient added value to justify adoption. Interoperability with other devices and design issues, for example, limited customization options, also negatively impacted the uptake. The clinic's implementation readiness was limited by various challenges including limited staff availability, insufficient internal communication processes, the absence of an implementation evaluation plan, and lack of clarity around who is funding the app's use beyond the initial trial. Despite the clinician's overall inclination toward technology use, diverse opinions on the evidence for short-term cardiac rehabilitation programs in atrial fibrillation critically reduced their commitment to app integration.

CONCLUSIONS

Mobile health apps have seen rapid expansion and offer clear benefits, yet their integration into complex health systems remains challenging. Whilst our findings are from a single app implementation, they highlight the importance of embedding contextual analysis and proactive strategic planning in the integration process.

What are end-users' needs and preferences for a comprehensive e-health program for type 2 diabetes? - A qualitative user preference study

INTRODUCTION

Type 2 diabetes (T2D) prevalence is rising, which imposes a significant burden on individuals, healthcare systems, and economies worldwide. Lifestyle factors contribute significantly to the escalating incidence of T2D. Consequently, there is an increasing need for interventions that not only target at-risk populations for prevention but also empower individuals with T2D to achieve better self-management and possibly attain remission through sustained lifestyle modifications. Technological tools may improve health outcomes compared to traditional in-person care, and can include registration of important health parameters, provide follow-up and support, and enhance self-management. The aim of this study was to receive feedback from end-users to inform the development of a comprehensive e-health program focusing on lifestyle modification in pre-diabetes and T2D.

METHODS

During eight focus group meetings, sixteen adults with pre-diabetes or T2D from all over Norway informed the study about needs and preferences for an e-health program, including essential functionalities and design choices. A questionnaire and paper prototyping were used to complement the discussions in the focus group meetings.

RESULTS

Lack of necessary diabetes knowledge was common, and education was considered essential for improved self-management. Essential functionalities included registration and overview of several health parameters, long-term follow-up and coaching through communication platforms within the program, automatic data transfer from different devices such as blood glucose monitors and smartwatches, and educational courses. To ensure end-users' satisfaction with the program and increase motivation for long-term usage, the participants rendered tailoring of desired functionalities and content as crucial.

CONCLUSION

Based on the findings, a list of recommendations was created, containing the most crucial functionalities and features to include when developing e-health and/or m-health tools for people with pre-diabetes and T2D. Future work should include health care personnel to explore their needs and preferences, and ways such an e-health program may enhance patient interaction without increasing workload and resource use.

Exploring diabetes through the lens of AI and computer vision: Methods and future prospects

Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer vision are highly regarded for their ability to enhance the accessibility of large datasets for dynamic training and deliver efficient real-time intelligent technologies and predictable models. The application of AI and computer vision techniques to enhance the analysis of clinical data is referred to as eHealth solutions that employ advanced approaches to aid medical applications. This study examines several advancements and applications of machine learning, deep learning, and machine vision in global perception, with a focus on sustainability. This article discusses the significance of utilizing artificial intelligence and computer vision to detect diabetes, as it has the potential to significantly mitigate harm to human life. This paper provides several comments addressing challenges and recommendations for the use of this technology in the field of diabetes. This study explores the potential of employing Industry 4.0 technologies, including machine learning, deep learning, and computer vision robotics, as effective tools for effectively dealing with diabetes related aspects.

Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study

BACKGROUND

Research supports the use of mobile phone apps to promote medication adherence, but the use of and satisfaction with these apps among medically underserved patients with chronic illnesses remain unclear.

OBJECTIVE

This study reports on the overall use of and satisfaction with a medication adherence app (Medisafe) in a medically underserved population.

METHODS

Medically underserved adults who received care for one or more chronic illnesses at a federally qualified health center (FQHC) were randomized to an intervention group in a larger randomized controlled trial and used the app for 1 month (n=30), after which they completed a web-based survey. Objective data on app usage were provided as secondary data by the app company.

RESULTS

The participants were very satisfied with the app, with all participants (30/30, 100%) somewhat or strongly agreeing that they would recommend the app to family and friends. Participants strongly agreed (28/30, 93%) that the reminders helped them remember to take their medications at the correct time each day, and they (28/30, 93%) found the app easy to use. Additional features accessed by some included educational features and the adherence report. Participants noted the helpfulness of having a medication list on their phones, and some used it during medication reconciliation at doctor visits. Use of the Medfriend feature, which alerts a social support person if a medication is missed, was low (n=2), but those who used it were very positive about the feature.

CONCLUSIONS

A commercially available medication adherence app was found to be useful by participants, and they were satisfied with the app and the additional features provided. The use of medication adherence mobile phone apps has the potential to positively influence chronic disease management in a medically underserved population on a large scale.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05098743; https://clinicaltrials.gov/study/NCT05098743.

Remote Exercise Engagement Among Individuals With Cardiovascular Disease: A Systematic Review of Barriers and Facilitators

PURPOSE

To systematically review the literature regarding barriers and facilitators to remote exercise among individuals with cardiovascular diseases (CVD).

REVIEW METHODS

Six databases were searched (inception-December 2023). Studies including barriers and facilitators for remote exercise reported by individuals living with CVD were considered. Quality was rated using the Mixed Methods Assessment Tool (MMAT). Results were synthesized following a thematic analysis approach. Characteristics of interventions were reported using the Template for Intervention Description and Replication (TIDieR).

SUMMARY

From an initial pool of 8543 records, 18 studies met the inclusion criteria. Among these, 13 were qualitative studies, with individual interviews being the most frequent data extraction method. Nine studies received 5/5 MMAT scores (ie, high quality). Twelve studies reported remote exercise interventions, mostly delivered within cardiac rehabilitation, by physiotherapists, nurses, and dietitians, predominantly via telephone calls or videoconferences, with only one study incorporating text messages. Five key themes influencing remote exercise interventions were identified: technology (encompassing access and literacy, self-monitoring/motivation, and security concerns), individual health considerations (health/personal aspects and coronavirus disease-2019), social factors (support from health care team and family/social support), environment (facilities), and logistical factors (time and displacement). Several themes served as both facilitators and barriers. Key insights for remote exercise interventions included mobile accessibility, interactive chat sessions, minimal click interactions, short sessions, personalized feedback, and flexible timing. Results emphasize the importance of promoting social interaction and support between participants and health care teams to mitigate barriers and enhance facilitators in remote exercise interventions for individuals with CVD.

Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study

Background

Smartphone apps can be used to monitor chronic conditions and offer opportunities for self-assessment conveniently at home. However, few digital studies include older adults.

Objective

We aim to describe a new electronic cohort of older adults embedded in the Framingham Heart Study including baseline smartphone survey return rates and survey completion rates by smartphone type (iPhone [Apple Inc] and Android [Google LLC] users). We also aim to report survey results for selected baseline surveys and participant experience with this study's app.

Methods

Framingham Heart Study Offspring and Omni (multiethnic cohort) participants who owned a smartphone were invited to download this study's app that contained a range of survey types to report on different aspects of health including self-reported measures from the Patient-Reported Outcomes Measurement Information System (PROMIS). iPhone users also completed 4 tasks including 2 cognitive and 2 physical function testing tasks. Baseline survey return and completion rates were calculated for 12 surveys and compared between iPhone and Android users. We calculated standardized scores for the PROMIS surveys. The Mobile App Rating Scale (MARS) was deployed 30 days after enrollment to obtain participant feedback on app functionality and aesthetics.

Results

We enrolled 611 smartphone users (average age 73.6, SD 6.3 y; n=346, 56.6% women; n=88, 14.4% Omni participants; 478, 78.2% iPhone users) and 596 (97.5%) returned at least 1 baseline survey. iPhone users had higher app survey return rates than Android users for each survey (range 85.5% to 98.3% vs 73.8% to 95.2%, respectively), but survey completion rates did not differ in the 2 smartphone groups. The return rate for the 4 iPhone tasks ranged from 80.9% (380/470) for the gait task to 88.9% (418/470) for the Trail Making Test task. The Electronic Framingham Heart Study participants had better standardized t scores in 6 of 7 PROMIS surveys compared to the general population mean (t score=50) including higher cognitive function (n=55.6) and lower fatigue (n=45.5). Among 469 participants who returned the MARS survey, app functionality and aesthetics was rated high (total MARS score=8.6 on a 1-10 scale).

Conclusions

We effectively engaged community-dwelling older adults to use a smartphone app designed to collect health information relevant to older adults. High app survey return rates and very high app survey completion rates were observed along with high participant rating of this study's app.

The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language

INTRODUCTION

mHealth apps are widely utilized in healthcare. To guarantee their usefulness and usability, it is crucial to assess them using a reliable scale tailored specifically for mHealth apps and their users.

OBJECTIVE

The aim of this study is the psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in Persian language.

METHOD

The Persian translations of standalone and interactive versions of the MAUQ for healthcare providers underwent validation. Face validity, content validity, and factor analysis were conducted to validate these two versions. Ten nurses evaluated face validity, while ten nursing and psychometric analysis experts assessed content validity. Factor analysis involved 98 nurses. The reliability of the questionnaires was measured using Cronbach's alpha.

RESULTS

The translated questionnaires were validated, confirming both face validity (impact score ≥ 2.40) and content validity (k*≥0.66). The Persian version of the MAUQ for standalone applications had 18 items across two dimensions: easy to use and usefulness (11 items) and user interface and satisfaction (7 items). The Persian version of the MAUQ for interactive applications had 21 items across three dimensions: easy to use (4 items), usefulness (5 items), and user interface and satisfaction (12 items). Both standalone and interactive versions demonstrated high internal consistency with a Cronbach's alpha of 0.96.

CONCLUSIONS

The psychometric assessment of the provider version of MAUQ in Persian language has the reliability and validity required to assess mHealth applications usability.

Remote monitoring system to support positive airway pressure therapy in patients with obstructive sleep apnea: a multi-center randomized controlled trial

PURPOSE

To develop and evaluate an intervention tailored to patients' needs to increase the rate of positive airway pressure (PAP) adherence in patients afflicted with obstructive sleep apnea (OSA), who undergo PAP therapy.

METHODS

A multi-center, 3 parallel-arm, randomized, controlled trial was conducted. Participants with OSA who undergo a PAP therapy were randomized to one of three groups: control arm (usual care), educational booklet arm, and mobile-based application arm. PAP usage, the percentage of days using the device for more than 4 h, change in knowledge, risk perception, outcome expectancy, self-efficacy, and ESS were assessed before and one month after interventions in the three groups. Also, the application usage data were analyzed.

RESULTS

The result showed the change in average PAP usage, knowledge, risk perception, and self-efficacy in the application group was significantly higher than the control and booklet groups. Also, the change in use for more than 4 h in the application group was significantly higher than the control group. Comparing the actual and patients' self-report PAP use indicated patients' self-report about the use of the device is about 50 min (0.8 h) more than the actual amount of use.

CONCLUSION

The study results indicated that the improvement of primary and secondary outcomes in adherence to PAP was significantly higher in the application group than in other study groups. Given the increasingly penetrating influence of smartphone-based technologies, it seems that mobile-based applications could potentially be adopted in the population of patients with OSA.

CLINICAL TRIALS REGISTRATION

IRCT2017092236314N1; https://en.irct.ir/trial/27185.

Technology Acceptance Among Low-Income Asian American Older Adults: Cross-Sectional Survey Analysis

BACKGROUND

Studies show that the use of information and communications technologies (ICTs), including smartphones, tablets, computers, and the internet, varies by demographic factors such as age, gender, and educational attainment. However, the connections between ICT use and factors such as ethnicity and English proficiency, especially among Asian American older adults, remain less explored. The technology acceptance model (TAM) suggests that 2 key attitudinal factors, perceived usefulness (PU) and perceived ease of use (PEOU), influence technology acceptance. While the TAM has been adapted for older adults in China, Taiwan, Singapore, and Korea, it has not been tested among Asian American older adults, a population that is heterogeneous and experiences language barriers in the United States.

OBJECTIVE

This study aims to examine the relationships among demographics (age, gender, educational attainment, ethnicity, and English proficiency), PU, PEOU, and ICT use among low-income Asian American older adults. Two outcomes were examined: smartphone use and ICT use, each measured by years of experience and current frequency of use.

METHODS

This was a secondary data analysis from a cross-sectional baseline survey of the Lighthouse Project, which provided free broadband, ICT devices, and digital literacy training to residents living in 8 affordable senior housing communities across California. This analysis focused on Asian participants aged ≥62 years (N=392), specifically those of Korean, Chinese, Vietnamese, Filipino, and other Asian ethnicities (eg, Hmong and Japanese). Hypotheses were examined using descriptive statistics, correlation analysis, and hierarchical regression analysis.

RESULTS

Younger age, higher education, and greater English proficiency were positively associated with smartphone use (age: β=-.202; P<.001; education: β=.210; P<.001; and English proficiency: β=.124; P=.048) and ICT use (age: β=-.157; P=.002; education: β=.215; P<.001; and English proficiency: β=.152; P=.01). Male gender was positively associated with PEOU (β=.111; P=.047) but not with PU (β=-.031; P=.59), smartphone use (β=.023; P=.67), or ICT use (β=.078; P=.16). Ethnicity was a significant predictor of PU (F4,333=5.046; P<.001), PEOU (F4,345=4.299; P=.002), and ICT use (F4,350=3.177; P=.01), with Chinese participants reporting higher levels than Korean participants, who were the reference group (β=.143; P=.007). PU and PEOU were positively correlated with each other (r=0.139, 95% CI=0.037-0.237; P=.007), and both were significant predictors of smartphone use (PU: β=.158; P=.002 and PEOU: β=.166; P=.002) and ICT use (PU: β=.117; P=.02 and PEOU: β=0.22; P<.001), even when controlling for demographic variables.

CONCLUSIONS

The findings support the use of the TAM among low-income Asian American older adults. In addition, ethnicity and English proficiency are significant predictors of smartphone and ICT use among this population. Future interventions should consider heterogeneity and language barriers of this population to increase technology acceptance and use.

Disparities in Patient-reported Outcome Measure Completion Rates and Baseline Function in Newly Presenting Spine Patients

STUDY DESIGN

Retrospective review.

OBJECTIVE

The purpose of this study was to evaluate disparities in patient-reported outcome measures (PROM) completion rates and baseline function scores among newly presenting spine patients.

SUMMARY OF BACKGROUND DATA

Prior studies have demonstrated that minority patients and those of low socioeconomic status may present with worse physical and mental health on PROMs. As PROMs are increasingly used in clinical care, research, and health policy, accurate assessment of health status among populations relies on the successful completion of PROM instruments.

METHODS

A retrospective review of 10,803 consecutive new patients presenting to a single multidisciplinary spine clinic from June 2020 to September 2022 was performed. Univariate statistics were performed to compare demographics between patients who did and did not complete PROMs. Multivariable analysis was used to compare PROM instrument completion rates by race, ethnicity, and Social Vulnerability Index (SVI) and baseline scores among responders.

RESULTS

A total of 68.4% of patients completed PROMs at the first clinic visit. After adjusting for age, sex, body mass index, and diagnosis type, patients of non-White race (OR=0.661, 95% CI=0.599-0.729, P <0.001), Hispanic ethnicity (OR=0.569, 95% CI=0.448-0.721, P <0.001), and increased social vulnerability (OR=0.608, 95% CI=0.511-0.723, P <0.001) were less likely to complete PROMs. In the multivariable models, patients of non-White race reported lower levels of physical function (β=-6.5, 95% CI=-12.4 to -0.6, P =0.032) and higher levels of pain intensity (β=0.6, 95% CI=0.2-1.0, P =0.005). Hispanic ethnicity (β=1.5, 95% CI=0.5-2.5, P =0.004) and increased social vulnerability (β=1.1, 95% CI=0.4-1.8, P =0.002) were each associated with increased pain intensity.

CONCLUSIONS

Among newly presenting spine patients, those of non-White race, Hispanic ethnicity, and with increased social vulnerability were less likely to complete PROMs. As these subpopulations also reported worse physical function or pain intensity, additional strategies are needed to better capture patient-reported health status to avoid bias in clinical care, outcomes research, and health policy.

LEVEL OF EVIDENCE

4.

A feature-based qualitative assessment of smoking cessation mobile applications

Understanding users' acceptance of smoking cessation interventions features is a precursor to mobile cessation apps' uptake and use. We gauged perceptions of three features of smoking cessation mobile interventions (self-monitoring, tailored feedback and support, educational content) and their design in two smoking cessation apps, Quit Journey and QuitGuide, among young adults with low socioeconomic status (SES) who smoke. A convenience sample of 38 current cigarette smokers 18-29-years-old who wanted to quit and were non-college-educated nor currently enrolled in a four-year college participated in 12 semi-structured virtual focus group discussions on GoTo Meeting. Discussions were audio recorded, transcribed verbatim, and coded using the second Unified Theory of Acceptance and Use of Technology (UTAUT2) constructs (i.e., performance and effort expectancies, hedonic motivation, facilitating conditions, social influence), sentiment (i.e., positive, neutral, negative), and app features following a deductive thematic analysis approach. Participants (52.63% female, 42.10% non-Hispanic White) expressed positive sentiment toward self-monitoring (73.02%), tailored feedback and support (70.53%) and educational content (64.58%). Across both apps, performance expectancy was the dominant theme discussed in relation to feature acceptance (47.43%). Features' perceived usefulness centered on the reliability of apps in tracking smoking triggers over time, accommodating within- and between-person differences, and availability of on-demand cessation-related information. Skepticism about features' usefulness included the possibility of unintended consequences of self-monitoring, burden associated with user-input and effectiveness of tailored support given the unpredictable timing of cravings, and repetitiveness of cessation information. All features were perceived as easy to use. Other technology acceptance themes (e.g., social influence) were minimally discussed. Acceptance of features common to smoking cessation mobile applications among low socioeconomic young adult smokers was owed primarily to their perceived usefulness and ease of use. To increase user acceptance, developers should maximize integration within app features and across other apps and mobile devices.

Preferences and expectations of end-users from a mental health educational portal: A qualitative study

Background

Digital technologies play an essential role in health systems by providing new solutions to reduce the burden of mental illnesses and disorders. However, in many cases, user preferences and expectations are not considered in the design of portals. This study aims to explore the preferences and expectations of end-users from the features and capabilities of mental health educational portals.

Methods

This qualitative study was conducted from January 2022 to January 2023 using the conventional content analysis approach. The participants were 20 individuals, selected through purposive sampling, ranging in age from 18 to 61, all of whom had prior experience using an educational portal. Data were collected via individual semi-structured interviews. Qualitative analysis was performed using MAXQDA 10 software.

Results

After analyzing the data, the preferences and expectations of end-users were categorized into five main themes: to be reliable, mutual interaction capability, to be accessible, creating a stylish and attractive design, and attention to the quality and structure of the content.

Conclusion

Considering the expectations and needs of users will enhance their acceptance and satisfaction with the portals. From the end-users' perspectives, the content, appearance, and structural or technical features a mental health educational portal are crucial for its effectiveness.

Applicability of a digital health application for cancer patients: a qualitative non-participation analysis

BACKGROUND

The use of digital health applications (German acronym DiGA) for comprehensive patient care is increasing rapidly. Patients with non-organic insomnia can be prescribed an application to manage insomnia. Due to the high prevalence of insomnia in patients with cancer, we were interested in the effect of it and what barriers need to be overcome for its use. The focus of existing studies on acceptance and benefits prompted us to emphasise the analysis of barriers and thus to formulate possible solutions.

METHODS

To analyse the barriers of use, the study population (patients with self-reported tiredness or sleep disturbance via validated instruments and cancer disease) was divided into 3 groups. In groups 1 (patients who refused to participate in advance) and 2 (patients who refused a prescription), short close-ended questionnaires were used for non-response assessment by treating oncologists. Problem-centred guidelines were used for the telephone interviews with group 3 (patients who did not provide information on DiGA use). Alternatively, group 3 was invited to complete and return the close-ended questionnaire. A quantitative analysis of the non-response reasons was conducted using SPSS in groups 1 and 2, while MAXQDA was used for the qualitative data in group 3.

RESULTS

Patients refused to participate at several stages of our study. Quantitative data are available for groups 1 and 2. In the largest group 1, 62% of patients refused to participate due to non-subjective sleep disturbance (177 out of 189 patients) during recruitment by treating oncologists, despite high scores on the screening tool. In the small group 2 (11 out of 15), the most common reasons for withdrawal documented by the oncologists were loss of interest and deteriorating health. The problem-centred qualitative interviews with group 3 (17 patients) revealed that some of them used the prescribed DiGA, despite not being included in the main study and being categorized as lost to follow-up.

CONCLUSION

Analysis of barriers to DiGA use showed that reducing administrative barriers and providing digital and personal support can increase acceptance of the use of DiGAs among cancer patients. Additionally, screening tools can act as a door opener to further communication regarding DiGAs.

TRIAL REGISTRATION

German Register of Clinical Trials DRKS00034198, registration date: 7/05/24 (retrospectively registered).

Evaluation of a Primary Care-Integrated Mobile Health Intervention to Monitor between-Visit Asthma Symptoms

OBJECTIVES

 This study aimed to evaluate implementation of a digital remote symptom monitoring intervention that delivered weekly symptom questionnaires and included the option to receive nurse callbacks via a mobile app for asthma patients in primary care.

METHODS

 Research questions were structured by the NASSS (Nonadoption, Abandonment, Scale-up Spread, and Sustainability) framework. Quantitative and qualitative methods assessed scalability of the electronic health record (EHR)-integrated app intervention implemented in a 12-month randomized controlled trial. Data sources included patient asthma control questionnaires; app usage logs; EHRs; and interviews and discussions with patients, primary care providers (PCPs), and nurses.

RESULTS

 We included app usage data from 190 patients and interview data from 21 patients and several clinician participants. Among 190 patients, average questionnaire completion rate was 72.3% and retention was 78.9% (i.e., 150 patients continued to use the app at the end of the trial period). App use was lower among Hispanic and younger patients and those with fewer years of education. Of 1,185 nurse callback requests offered to patients. Thirty-three (2.8%) were requested. Of 84 PCP participants, 14 (16.7%) accessed the patient-reported data in the EHR. Analyses showed that the intervention was appropriate for all levels of asthma control; had no major technical barriers; was desirable and useful for patient treatment; involved achievable tasks for patients; required modest role changes for clinicians; and was a minimal burden on the organization.

CONCLUSION

 A clinically integrated symptom monitoring intervention has strong potential for sustained adoption. Inequitable adoption remains a concern. PCP use of patient-reported data during visits could improve intervention adoption but may not be required for patient benefits.

Pilot randomised controlled trial of a culturally aligned smoking cessation app for American Indian persons

OBJECTIVE

To pilot test QuitGuide for Natives, a culturally aligned version of the National Cancer Institute's QuitGuide smartphone app for smoking cessation.

METHODS

This randomised controlled trial was conducted remotely during 2022-2023. American Indian adults who smoked and resided in the Midwest (n=115) were randomised to QuitGuide for Natives or the general audience QuitGuide smartphone-based intervention. Group differences in feasibility (times the app was initiated), usability, acceptability ('How likely would you be to recommend the app to a friend?'), fit of app with culture and preliminary efficacy (24-hour quit attempts, cotinine-confirmed self-reported 7-day abstinence) outcomes were examined.

RESULTS

QuitGuide for Natives versus the general audience QuitGuide did not differ in the number of times the app was opened (adjusted incidence rate ratio 0.94 (95% CI 0.63 to 1.40); p=0.743) nor in usability score (adjusted mean difference (aMD) 0.73 (95% CI: -5.00 to 6.46); p=0.801) or likeliness of recommending the app to a friend (aMD 0.62 (95% CI -0.02 to 1.27); p=0.058). Differences were observed for all cultural fit outcomes such as 'The app fits my American Indian culture (aMD 0.75 (95% CI 0.35 to 1.16); p<0.001). QuitGuide for Natives versus the general audience QuitGuide resulted in an average of 6.6 vs 5.1 24-hour quit attempts (p=0.349) and cotinine-confirmed 7-day abstinence was achieved by 6.9% vs 3.5% (p=0.679).

CONCLUSIONS

Acceptability, cultural fit and preliminary efficacy findings are encouraging and will inform future, larger-scale evaluation of culturally aligned digital smoking cessation resources for American Indian adults.

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

BACKGROUND

Mobile health (mHealth) apps have proven useful for people with multiple sclerosis (MS). Thus, easy-to-use digital solutions are now strongly required to assess and monitor cognitive impairment, one of the most disturbing symptoms in MS that is experienced by almost 43% to 70% of people with MS. Therefore, we developed DIGICOG-MS (Digital assessment of Cognitive Impairment in Multiple Sclerosis), a smartphone- and tablet-based mHealth app to self-assess cognitive impairment in MS.

OBJECTIVE

This study aimed to test the validity and usability of the novel mHealth app with a sample of people with MS.

METHODS

DIGICOG-MS includes 4 digital tests assumed to evaluate the most affected cognitive domains in MS (visuospatial memory [VSM], verbal memory [VM], semantic fluency [SF], and information processing speed [IPS]) and inspired by traditional paper-based tests that assess the same cognitive functions (10/36 Spatial Recall Test, Rey Auditory Verbal Learning Test, Word List Generation, Symbol Digit Modalities Test). Participants were asked to complete both digital and traditional assessments in 2 separate sessions. Convergent validity was analyzed using the Pearson correlation coefficient to determine the strength of the associations between digital and traditional tests. To test the app's reliability, the agreement between 2 repeated measurements was assessed using intraclass correlation coefficients (ICCs). Usability of DIGICOG-MS was evaluated using the System Usability Scale (SUS) and mHealth App Usability Questionnaire (MAUQ) administered at the conclusion of the digital session.

RESULTS

The final sample consisted of 92 people with MS (60 women) followed as outpatients at the Italian Multiple Sclerosis Society (AISM) Rehabilitation Service of Genoa (Italy). They had a mean age of 51.38 (SD 11.36) years, education duration of 13.07 (SD 2.74) years, disease duration of 12.91 (SD 9.51) years, and a disability level (Expanded Disability Status Scale) of 3.58 (SD 1.75). Relapsing-remitting MS was most common (68/92, 74%), followed by secondary progressive (15/92, 16%) and primary progressive (9/92, 10%) courses. Pearson correlation analyses indicated significantly strong correlations for VSM, VM, SF, and IPS (all P<.001), with r values ranging from 0.58 to 0.78 for all cognitive domains. Test-retest reliability of the mHealth app was excellent (ICCs>0.90) for VM and IPS and good for VSM and SF (ICCs>0.80). Moreover, the SUS score averaged 84.5 (SD 13.34), and the mean total MAUQ score was 104.02 (SD 17.69), suggesting that DIGICOG-MS was highly usable and well appreciated.

CONCLUSIONS

The DIGICOG-MS tests were strongly correlated with traditional paper-based evaluations. Furthermore, people with MS positively evaluated DIGICOG-MS, finding it highly usable. Since cognitive impairment poses major limitations for people with MS, these findings open new paths to deploy digital cognitive tests for MS and further support the use of a novel mHealth app for cognitive self-assessment by people with MS in clinical practice.

Smartphone App Designed to Collect Health Information in Older Adults: Usability Study

BACKGROUND

Studies evaluating the usability of mobile-phone assessments in older adults are limited.

OBJECTIVE

This study aims to identify design-based barriers and facilitators to mobile app survey completion among 2 samples of older adults; those in the Framingham Heart Study and a more diverse sample from a hospital-based setting.

METHODS

We used mixed methods to identify challenging and beneficial features of the mobile app in participants from the electronic Framingham Heart Study (n=15; mean age of 72 years; 6/15, 40% women; 15/15, 100% non-Hispanic and White) and among participants recruited from a hospital-based setting (n=15; mean age of 71 years; 7/15, 47% women; 3/15, 20% Hispanic; and 8/15, 53% non-White). A variety of app-based measures with different response formats were tested, including self-reported surveys, pictorial assessments (to indicate body pain sites), and cognitive testing tasks (eg, Trail Making Test and Stroop). Participants completed each measure using a think-aloud protocol, while being audio- and video-recorded with a qualitative interview conducted at the end of the session. Recordings were coded for participant usability errors by 2 pairs of coders. Participants completed the Mobile App Rating Scale to assess the app (response range 1=inadequate to 5=excellent).

RESULTS

In electronic Framingham Heart Study participants, the average total Mobile App Rating Scale score was 7.6 (SD 1.1), with no significant differences in the hospital-based sample. In general, participants were pleased with the app and found it easy to use. A large minority had at least 1 navigational issue, most committed only once. Most older adults did not have difficulty completing the self-reported multiple-choice measures unless it included lengthy instructions but participants had usability issues with the Stroop and Trail Making Test.

CONCLUSIONS

Our methods and results help guide app development and app-based survey construction for older adults, while also giving consideration to sociodemographic differences.

Exploring the digital divide: results of a survey informing mobile application development

Introduction

Mobile health apps risk widening health disparities if they overlook digital inclusion. The digital divide, encompassing access, familiarity, and readiness, poses a significant barrier to medical interventions. Existing literature lacks exploration of the digital divide's contributing factors. Hence, data are needed to comprehend the challenges in developing inclusive health apps.

Methods

We created a survey to gauge internet and smartphone access, smartphone familiarity, and readiness for using mobile health apps among caregivers of pediatric patients in tertiary care. Open-ended questions solicited feedback and suggestions on mobile health applications. Responses were categorized by similarity and compared. Developed with patient partners, the survey underwent cognitive testing and piloting for accuracy.

Results

Data from 209 respondents showed that 23% were affected by the digital divide, mainly due to unfamiliarity with digital skills. Among 49 short text responses about health app concerns, 31 mentioned security and confidentiality, with 7 mentioning the impersonal nature of such apps. Desired features included messaging healthcare providers, scheduling, task reminders, and simplicity.

Conclusions

This study underscores a digital divide among caregivers of pediatric patients, with nearly a quarter affected primarily due to a lack of digital comfort. Respondents emphasized user-friendliness and online security for health apps. Future apps should prioritize digital inclusion by addressing the significant barriers and carefully considering patient and family concerns.

Electronic maternal and child health application usability, feasibility and acceptability among healthcare providers in Amhara region, Ethiopia

An innovative electronic Maternal and Child Health (eMCH) application was developed to support operational and clinical decision-making in maternal and child health services. End-user-based evaluation of eHealth application is a critical step to ascertain how successfully users can learn and use it, and improve the technology. Therefore, this study aimed to evaluate the eMCH tool usability, feasibility, and acceptability among healthcare providers (HCPs) in the Amhara region, Ethiopia. A cross-sectional study was conducted among HCPs working in six public healthcare facilities. The usability evaluation was done on 24 HCPs across three professional categories using the ISO 9241-11 usability guideline. One hundred nine HCPs were participated in the feasibility and acceptability study. Data were collected using a standard usability tool, think-aloud protocol, a self-administered approach, and Open Broadcaster Software Studio version 26.1.1 video recorder. Descriptive statistics were used to describe the data. A Kruskal-Wallis test was used to measure the association between mean scores and categories of HCPs. The recorded videos were used for the log file analysis method. None of the HCP categories were able to complete all the tasks without errors. The average number of errors and restarts were 7.5 and 2.8, respectively. The average number of restarts was directly proportional to the average number of errors. The participants successfully completed more than 70% of the tasks without requiring any assistance or guidance. Forty-seven comments or errors were identified from the think-aloud analysis and 22 comments from the usability metrics analysis. Overall, statistically significant performance differences were observed among the three HCP groups across the majority of the usability evaluation metrics. Fifty-seven percent of HCPs scored higher than the mean on the feasibility study. Slightly higher than half, 56 (51.4%), of the HCPs scored higher than the mean score on the acceptability study. The usability evaluation identified vital comments and usability flaws that were essential for the eMCH tool to be upgraded. The tool was feasible and acceptable as reported by end-users. Therefore, the errors and usability flaws of the tool should be fixed before deployment to other healthcare settings.

Symptom Reduction and Engagement in a Cognitive-Behavioral Mobile Phone App: A Study of User Profiling to Determine Prognostic Indicators

OBJECTIVE

We investigated the presence of latent transition profiles in a sample of users of a cognitive-behavioral mental health app for the general population. Users' baseline characteristics were used as predictors of the profiles. The role of engagement with the app in the transition profiles was examined.

METHOD

A total of 541 users completed the Patient Health Questionnaire-9 and the General Anxiety Disorder-7 when started using the app and 30 days after. Random-Intercept Latent Transition Analysis was implemented to identify users' profiles and transition patterns as classes. The age of the users and the Emotional Self-Awareness Scale-Revised (ESAS-R) were used as predictors of class membership at baseline. The Homework Rating Scale-Mobile Application (HRS-MA; as a measure of engagement) was used as a predictor of class membership at 30 days of app use.

RESULTS

A 3-class solution was obtained according to the severity of symptoms (from mild to moderately severe). Age and ESAS-R predicted class membership initially; the higher the age and ESAS-R, the higher the probability of starting using the app with lower distress levels. The HRS-MA predicted class membership at 30 days of app use; the higher the engagement for more symptomatic and younger users, the higher the probability of improvement. However, older users tended to engage less.

CONCLUSION

Our findings underpin the relevance of easily accessible digital interventions for young adults with mild to moderate mental health problems. Further studies and developments are required to enhance these apps for older cohorts.

Administrative burden for patients in U.S. health care settings Post-Affordable Care Act: A scoping review

Administrative burdens are the costs associated with receiving a service or accessing a program. Based on the Herd & Moynihan framework, they occur in three subcategories: learning costs, compliance costs, and psychological costs. Administrative burdens manifest inequitably, more significantly impacting vulnerable populations. Administrative burdens may impact the health of those trying to access services, and in some cases block access to health-promoting services entirely. This scoping review examined studies focused on the impact on patients of administrative burden administrative burden in health care settings in the U.S. following the passage of the Affordable Care Act. We queried databases for empirical literature capturing patient administrative burden, retrieving 1578 records, with 31 articles ultimately eligible for inclusion. Of the 31 included studies, 18 used quantitative methods, nine used qualitative methods, three used mixed methods, and one was a case study. In terms of administrative burden subcategories, most patient outcomes reported were learning (22 studies) and compliance costs (26 studies). Psychological costs were the most rarely reported; all four studies describing psychological costs were qualitative in nature. Only twelve studies connected patient demographic data with administrative burden data, despite previous research suggesting an inequitable burden impact. Additionally, twenty-eight studies assessed administrative burden and only three attempted to reduce it via an intervention, resulting in a lack of data on intervention design and efficacy.

Enhancing tuberculosis treatment adherence and motivation through gamified real-time mobile app utilization: a single-arm intervention study

BACKGROUND

Finding innovative methods to enhance Tuberculosis treatment adherence in Malaysia is imperative, given the rising trend of non-adhere TB patients. Direct Observed Therapy (DOTS) has been used to ensure Tuberculosis (TB) drug compliance worldwide. However, due to its inconvenience, digitalizing this system into a virtual monitoring system via a mobile app can help deliver a more efficient tuberculosis management system. A gamified video-observed therapy is developed that connects three users the patient, supervisor, and administrator, allowing drug monitoring and patient loss to follow up with the patient tracking system. Thus, the objective of this study is to determine the impact of Gamified Real-time Video Observed Therapy (GRVOTS) mobile apps on patient medication adherence rates and motivation.

METHODS

71 patients from 18 facilities participated in the 8-week single-arm intervention study. GRVOTS mobile apps were installed in their mobile apps, and patients were expected to fulfill tasks such as providing Video Direct Observe Therapy (VDOTS) daily as well as side effect reporting. At 3-time intervals of baseline,1-month, and 2-month intervals, the number of VDOT taken, the Malaysian Medication Adherence Assessment Tool (MyMAAT), and the Intrinsic Motivation Inventory (IMI) questionnaire were collected. One-sample t-test was conducted comparing the VDOT video adherence to the standard rate of 80%. RM ANOVA was used to analyze any significant differences in MyMAAT and IMI scores across three-time intervals.

RESULTS

This study involved 71 numbers of patients from 18 healthcare facilities who showed a significantly higher treatment adherence score of 90.87% than a standard score of 80% with a mean difference of 10.87(95% CI: 7.29,14.46; p < 0.001). The participants' MyMAAT and IMI scores significantly increased over 3-time intervals with the IMI Interest domain showing the highest mean difference 19.76 (95% CI: 16.37, 21.152: p < 0.001).

CONCLUSIONS

By utilizing GRVOTS, a mobile application based on gamification and real-time features, we can enhance motivation and medication adherence among TB patients, while also addressing the limitations of physical DOTS.

TRIAL REGISTRATION

IRCT20230308057657N1, Registered on (15/03/23).

Examining and Addressing Telemedicine Disparities Through the Lens of the Social Determinants of Health: A Qualitative Study of Patient and Provider During the COVID-19 Pandemic

Accelerated use of telemedicine during the COVID-19 pandemic enabled uninterrupted healthcare delivery while unmasking care disparities for several vulnerable communities. The social determinants of health (SDOH) serve as a critical model for understanding how the circumstances in which people are born, work, and live impact health outcomes. We performed semi-structured interviews to understand patients and providers' experiences with telemedicine encounters during the COVID-19 pandemic. Through a deductive approach, we applied the SDOH to determine telemedicine's role and impact within this framework. Overall, patient and provider interviews supported the use of existing SDOH domains to describe disparities in Internet access and telemedicine use, rather than reframing technology as a sixth SDOH. In order to mitigate the digital divide, we identify and propose solutions that address SDOH-related barriers that shape the use of health information technologies.

User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations

BACKGROUND

User-centered design (UCD) or user experience design (UXD) methods have gained recent popularity for the design of mobile health (mHealth) interventions. However, there is a gap in application of these methods for diabetes self-management. This study aims to document the UCD process for a self-management mobile application aimed for patients with diabetes in underserved communities.

METHODS

A UCD mixed-methods approach including interviews with patients and providers, a review of literature, and a technology landscape analysis were used to define the app functional information requirements that informed the user experience/user interface design process. Usability studies with the app designers and developers, intended users, and a focus group of nurse educators and dieticians were used to test and improve the design.

RESULTS

An mHealth app was developed with health-tracking features for stress, blood sugar, food, exercise, medications, weight, and blood pressure. We tackled a range of usability and user experience challenges, which encompassed addressing issues like low health literacy by employing a combination of user interface design principles, intuitive visualizations, customizable icons, seamless database integration, and automated data input features. Special attention was given to the design of educational content accounting for the intended users' cultural background and literacy levels.

CONCLUSIONS

User-centered design approach contributed to a better understanding of the intended users' needs, limitations, mental models, and expectations, facilitating the design of a comprehensive mobile app for patients with diabetes in underserved communities that includes essential features for self-management while providing a strong educational component, addressing an important gap in the literature.

Effect of a Medication Adherence Mobile Phone App on Medically Underserved Patients with Chronic Illness: Preliminary Efficacy Study

BACKGROUND

Medication adherence is vital in the treatment of patients with chronic illness who require long-term medication therapies to maintain optimal health. Medication adherence, a complex and widespread problem, has been difficult to solve. Additionally, lower-income, medically underserved communities have been found to have higher rates of inadequate adherence to oral medications. Even so, this population has been underrepresented in studies using mobile medication adherence app interventions. Federally qualified health centers provide care for medically underserved populations, defined as communities and populations where there is a demonstrable unmet need for health services. These centers have been reporting an increase in a more complex chronic disease population. Including medically underserved individuals in mobile health studies provides opportunities to support this disproportionately affected group, work toward reducing health disparities in access to health care, and understand barriers to mobile health uptake.

OBJECTIVE

The aim of this preliminary efficacy study was to evaluate the effects and feasibility of a commercially available medication adherence app, Medisafe, in a medically underserved adult population with various chronic illnesses seeking care in a federally qualified health center.

METHODS

Participants in this single-arm pre-post intervention preliminary efficacy study (N=10) completed a baseline survey, used the app for 2 weeks, and completed an end-of-study survey. The primary outcome measures were medication adherence and medication self-efficacy. Feedback on the use of the app was also gathered.

RESULTS

A statistically significant median increase of 8 points on the self-efficacy for adherence to medications scale was observed (P=.03, Cohen d=0.69). Though not significant, the adherence to refills and medications scale demonstrated a median change of 2.5 points in the direction of increased medication adherence (P=.21, Cohen d=0.41). Feedback about the app was positive.

CONCLUSIONS

Use of the Medisafe app is a viable option to improve medication self-efficacy and medication adherence in medically underserved patients in an outpatient setting with a variety of chronic illnesses.

The Effect of Mobile eHealth Education to Improve Knowledge, Skills, Self-Care, and Mobile eHealth Literacies Among Patients With Diabetes: Development and Evaluation Study

BACKGROUND

The promotion of mobile health (mHealth) and eHealth technologies as tools for managing chronic diseases, particularly diabetes mellitus, is on the rise. Nevertheless, individuals with diabetes frequently face a literacy gap that hinders their ability to fully leverage the benefits offered by these resources. Enhancing technology literacy to facilitate the adoption of mobile eHealth services poses a significant challenge in numerous countries.

OBJECTIVE

This study aims to develop an educational mobile eHealth literacy (eHL) program for patients with diabetes and to evaluate its effect on patients' outcomes.

METHODS

This study designed a mobile eHL education program comprising 2 modules specifically tailored for individuals with type 2 diabetes (T2D). These modules focused on guiding participants through the process of effectively navigating reliable health websites and utilizing diabetes-related apps. Using a pre- and posttest experimental design, the study featured an intervention group and a control group. Participants were recruited from 3 outpatient departments in hospitals, and assessments were conducted both before and after the intervention, along with a follow-up measure at the 3-month mark. The evaluation encompassed sociodemographic characteristics, computer and internet proficiency, mobile app usage, mobile eHL, and patient outcomes such as self-care behaviors and glycated hemoglobin (HbA1c) levels.

RESULTS

The analysis included a total of 132 eligible participants. Significant differences were observed in the mean scores of knowledge (P<.001) and skills (P<.001) related to computers, the web, and mobile devices at the initiation of the study and after the intervention. During the 3-month follow-up, the findings indicated a significant improvement in mobile eHL (t114=3.391, P=.001) and mHealth literacy (mHL, a subconcept of mobile eHL; t114=3.801, P<.001) within the intervention group, whereas no such improvement was observed in the control group. The chi-square values from the McNemar test underscored that individuals with uncontrolled diabetes (HbA1c≥7%) in the intervention group exhibited more improvement compared with the control group. The generalized estimating equations model unveiled a significant difference in the change of general mHL in the intervention group (β=1.91, P=.047) and self-care behavior in the control group from T0 to T2 (β=-8.21, P=.015). Despite being small, the effect sizes for mobile eHL (d=0.49) and HbA1c (d=0.33) in the intervention group were greater than those in the control group (d=0.14 and d=0.16, respectively).

CONCLUSIONS

The implementation of a mobile eHL education intervention demonstrates a positive influence on the familiarity of patients with T2D regarding health technology, leading to favorable glycemic outcomes. While additional studies are warranted for a more comprehensive understanding, this program emerges as a promising solution for enhancing patients' uptake of digital health technology.

Health Disparities, Clinical Trials, and the Digital Divide

In the past few years, there have been rapid advances in technology and the use of digital tools in health care and clinical research. Although these innovations have immense potential to improve health care delivery and outcomes, there are genuine concerns related to inadvertent widening of the digital gap consequentially exacerbating health disparities. As such, it is important that we critically evaluate the impact of expansive digital transformation in medicine and clinical research on health equity. For digital solutions to truly improve the landscape of health care and clinical trial participation for all persons in an equitable way, targeted interventions to address historic injustices, structural racism, and social and digital determinants of health are essential. The urgent need to focus on interventions to promote health equity was made abundantly clear with the coronavirus disease 2019 pandemic, which magnified long-standing social and racial health disparities. Novel digital technologies present a unique opportunity to embed equity ideals into the ecosystem of health care and clinical research. In this review, we examine racial and ethnic diversity in clinical trials, historic instances of unethical research practices in biomedical research and its impact on clinical trial participation, and the digital divide in health care and clinical research, and we propose suggestions to achieve digital health equity in clinical trials. We also highlight key digital health opportunities in cardiovascular medicine and dermatology as exemplars, and we offer future directions for development and adoption of patient-centric interventions aimed at narrowing the digital divide and mitigating health inequities.

Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge worldwide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medications, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which may diminish the increase in diabetes-related health-care expenditures. Here, we review the recent progress in the application of AI in the management of diabetes and then discuss the opportunities and challenges of AI application in clinical practice. Furthermore, we explore the possibility of combining and expanding upon existing digital health technologies to develop an AI-assisted digital health-care ecosystem that includes the prevention and management of diabetes.

Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components

Technology-enabled services (TESs) are clinical interventions that combine technological and human components to provide health services. TESs for mental health are efficacious in the treatment of anxiety and depression and are currently being offered as frontline treatments around the world. It is hoped that these interventions will be able to reach diverse populations across a range of identities and ultimately decrease disparities in mental health treatment. However, this hope is largely unrealized. TESs include both technology and human service components, and we argue that cultural responsivity must be considered in each of these components to help address existing treatment disparities. To date, there is limited guidance on how to consider cultural responsivity within these interventions, including specific targets for the development, tailoring, or design of the technologies and services within TESs. In response, we propose a framework that provides specific recommendations for targets based on existing models, both at the technological component level (informed by the Behavioral Intervention Technology Model) and the human support level (informed by the Efficiency Model of Support). We hope that integrating culturally responsive considerations into these existing models will facilitate increased attention to cultural responsivity within TESs to ensure they are ethical and responsive for everyone.

Design and development of a mobile-based self-care application for patients with depression and anxiety disorders

BACKGROUND AND AIM

Depression and anxiety can cause social, behavioral, occupational, and functional impairments if not controlled and managed. Mobile-based self-care applications can play an essential and effective role in controlling and reducing the effects of anxiety disorders and depression. The aim of this study was to design and develop a mobile-based self-care application for patients with depression and anxiety disorders with the goal of enhancing their mental health and overall well-being.

MATERIALS AND METHODS

In this study we designed a mobile-based application for self -management of depression and anxiety disorders. In order to design this application, first the education- informational needs and capabilities were identified through a systematic review. Then, according to 20 patients with depression and anxiety, this education-informational needs and application capabilities were approved. In the next step, the application was designed.

RESULTS

In the first step, 80 education-information needs and capabilities were identified. Finally, in the second step, of 80 education- informational needs and capabilities, 68 needs and capabilities with a mean greater than and equal to 3.75 (75%) were considered in application design. Disease control and management, drug management, nutrition and diet management, recording clinical records, communicating with physicians and other patients, reminding appointments, how to improve lifestyle, quitting smoking and reducing alcohol consumption, educational content, sedation instructions, introducing health care centers for depression and anxiety treatment and recording activities, personal goals and habits in a diary were the most important features of this application.

CONCLUSION

The designed application can encourage patients with depression and stress to perform self-care processes and access necessary information without searching the Internet.

Prostate cancer patients' experiences and preferences for web-based physical activity applications: A qualitative meta-synthesis

BACKGROUND

The incidence of prostate cancer increases with age. Physical activity can improve the prognosis and quality of life of patients. However, studies have observed lower levels of physical activity in men with prostate cancer, and most do not meet physical activity guidelines. Web-based physical activity is a promising form of exercise that will play an important role in prostate cancer patients.

AIMS

To synthesise the experiences and preferences of prostate cancer patients for web-based PA applications, thereby providing a basis for the construction of intervention programs tailored to the needs of patients.

METHODS

We systematically searched PubMed, Web of Science, Cochrane Library, EMBASE, CINAHL and three Chinese databases. This review includes qualitative empirical reports from the date of establishment of the respective databases until April 2023. Data extraction was performed by two independent reviewers and study quality was assessed.

RESULTS

A total of nine studies were included. The experiences and preferences of prostate cancer patients with web-based physical activity apps were synthesised into the following three analysis themes: (1) Pursuing individualised management strategies; (2) Perceiving and seeking social support and (3) Moving forwards in the struggle.

CONCLUSION

Our study found that men with prostate cancer experienced greater challenges in engaging in physical activity. Because of individual differences between patients, health care providers need to provide care that is tailored to each patient. Future studies should further explore the specific effects of web-based PA applications in promoting the physical function of prostate cancer patients to increase their flexibility.

RELEVANCE TO CLINICAL PRACTICE

This article synthesises prostate cancer patients' experiences with web-based physical activity applications, highlighting their specific information needs. The results suggest several implications for the application of individualised management strategies, the perception and search for social support, and health- literacy. The results of this study will inform future research and program design that recognises the importance of patient-centred efforts to better self-manage physical function.

PATIENT OR PUBLIC CONTRIBUTION

In the early stages of the study, objectives and subsequent findings were presented and discussed in a meeting with a reference group that represented patients, health professionals and the public.

Usability and acceptability of virtual reality for chronic pain management among diverse patients in a safety-net setting: a qualitative analysis

Objective

The aim of this study was to understand the usability and acceptability of virtual reality (VR) among a racially and ethnically diverse group of patients who experience chronic pain.

Materials and Methods

Using the Technology Acceptance Model theory, we conducted semistructured interviews and direct observation of VR use with English-speaking patients who experience chronic pain treated in a public healthcare system (n = 15), using a commercially available VR technology platform. Interviews included questions about current pain management strategies, technology use, experiences and opinions with VR, and motivators for future use.

Results

Before the study, none of the 15 participants had heard about or used VR for pain management. Common motivators for VR use included a previous history of substance use and having exhausted many other options to manage their pain and curiosity. Most participants had a positive experience with VR and 47% found that the VR modules distracted them from their pain. When attempting the navigation-based usability tasks, most participants (73%-92%) were able to complete them independently.

Discussion

VR is a usable tool for diverse patients with chronic pain. Our findings suggest that the usability of VR is not a barrier and perhaps a focus on improving the accessibility of VR in safety-net settings is needed to reduce disparities in health technology use.

Conclusions

The usability and acceptability of VR are rarely studied in diverse patient populations. We found that participants had a positive experience using VR, showed interest in future use, and would recommend VR to family and friends.

Outcomes of End-User Testing of a Care Coordination Mobile App With Families of Children With Special Health Care Needs: Simulation Study

BACKGROUND

Care for children with special health care needs relies on a network of providers who work to address the medical, behavioral, developmental, educational, social, and economic needs of the child and their family. Family-directed, manually created visual depictions of care team composition (ie, care mapping) and detailed note-taking curated by caregivers (eg, care binders) have been shown to enhance care coordination for families of these children, but they are difficult to implement in clinical settings owing to a lack of integration with electronic health records and limited visibility of family-generated insights for care providers. Caremap is an electronic health record-integrated digital personal health record mobile app designed to integrate the benefits of care mapping and care binders. Currently, there is sparse literature describing end-user participation in the co-design of digital health tools. In this paper, we describe a project that evaluated the usability and proof of concept of the Caremap app through end-user simulation.

OBJECTIVE

This study aimed to conduct proof-of-concept testing of the Caremap app to coordinate care for children with special health care needs and explore early end-user engagement in simulation testing. The specific aims included engaging end users in app co-design via app simulation, evaluating the usability of the app using validated measures, and exploring user perspectives on how to make further improvements to the app.

METHODS

Caregivers of children with special health care needs were recruited to participate in a simulation exercise using Caremap to coordinate care for a simulated case of a child with complex medical and behavioral needs. Participants completed a postsimulation questionnaire adapted from 2 validated surveys: the Pediatric Integrated Care Survey (PICS) and the user version of the Mobile Application Rating Scale (uMARS). A key informant interview was also conducted with a liaison to Spanish-speaking families regarding app accessibility for non-English-speaking users.

RESULTS

A Caremap simulation was successfully developed in partnership with families of children with special health care needs. Overall, 38 families recruited from 19 different US states participated in the simulation exercise and completed the survey. The average rating for the survey adapted from the PICS was 4.1 (SD 0.82) out of 5, and the average rating for the adapted uMARS survey was 4 (SD 0.83) out of 5. The highest-rated app feature was the ability to track progress toward short-term, patient- and family-defined care goals.

CONCLUSIONS

Internet-based simulation successfully facilitated end-user engagement and feedback for a digital health care coordination app for families of children with special health care needs. The families who completed simulation with Caremap rated it highly across several domains related to care coordination. The simulation study results elucidated key areas for improvement that translated into actionable next steps in app development.

Web- and app-based tools for remote hearing assessment: a scoping review

OBJECTIVE

Remote hearing screening and assessment may improve access to, and uptake of, hearing care. This review, the most comprehensive to date, aimed to (i) identify and assess functionality of remote hearing assessment tools on smartphones and online platforms, (ii) determine if assessed tools were also evaluated in peer-reviewed publications and (iii) report accuracy of existing validation data.

DESIGN

Protocol was registered in INPLASY and reported according to PRISMA-Extension for Scoping Reviews.

STUDY SAMPLE

In total, 187 remote hearing assessment tools (using tones, speech, self-report or a combination) and 101 validation studies met the inclusion criteria. Quality, functionality, bias and applicability of each app were assessed by at least two authors.

RESULTS

Assessed tools showed considerable variability in functionality. Twenty-two (12%) tools were peer-reviewed and 14 had acceptable functionality. The validation results and their quality varied greatly, largely depending on the category of the tool.

CONCLUSION

The accuracy and reliability of most tools are unknown. Tone-producing tools provide approximate hearing thresholds but have calibration and background noise issues. Speech and self-report tools are less affected by these issues but mostly do not provide an estimated pure tone audiogram. Predicting audiograms using filtered language-independent materials could be a universal solution.

Assessment of Traumatic Stress Symptoms During the Acute Posttrauma Period

A substantial majority of adults in the United States will experience a potentially traumatic event (PTE) in their lifetime. A considerable proportion of those individuals will go on to develop posttraumatic stress disorder (PTSD). Distinguishing between those who will develop PTSD and those who will recover, however, remains as a challenge to the field. Recent work has pointed to the increased potential of identifying individuals at greatest risk for PTSD through repeated assessment during the acute posttrauma period, the 30-day period after the PTE. Obtaining the necessary data during this period, however, has proven to be a challenge. Technological innovations such as personal mobile devices and wearable passive sensors have given the field new tools to capture nuanced in vivo changes indicative of recovery or nonrecovery. Despite their potential, there are numerous points for clinicians and research teams to consider when implementing these technologies into acute posttrauma care. The limitations of this work and considerations for future research in the use of technology during the acute posttrauma period are discussed.

Achieving Digital Health Equity by Personalizing the Patient Experience

Background

COVID saw a significant increase in the use of virtual care, supporting its utility and its benefits. It also revealed that unfortunately there are limitations and gaps we still need to address, including inequitable access to digitally enabled health care tools.

Methods

On November 8, 2022, the Mass General Brigham held the Third Annual Virtual Care Symposium: Demystifying Clinical Appropriateness in Virtual Care and What's Ahead for Pay Parity. One panel addressed digital health equity and key points are summarized here.

Results

Four experts discussed the key domains of digital equity and inclusion in the session titled "Achieving Digital Health Equity: Is it a One-Size-Fits-All Approach or Personalized Patient Experience?" These included lessons from strategies and tactics being used by hospitals and health systems to address digital equity issues; and opportunities to achieve digital health equity for specific populations (e.g., Medicaid).

Conclusions

Understanding the drivers of digital health disparities can help organizations and health care systems develop and test strategies to reduce them and improve access to quality health care through digitally enabled technologies and delivery channels.

Personal Health Libraries for People Returning From Incarceration: Protocol for a Qualitative Study

BACKGROUND

Individuals released from carceral facilities have high rates of hospitalization and death, especially in the weeks immediately after their return to community settings. During this transitional process, individuals leaving incarceration are expected to engage with multiple providers working in separate, complex systems, including health care clinics, social service agencies, community-based organizations, and probation and parole services. This navigation is often complicated by individuals' physical and mental health, literacy and fluency, and socioeconomic status. Personal health information technology, which can help people access and organize their health information, could improve the transition from carceral systems to the community and mitigate health risks upon release. Yet, personal health information technologies have not been designed to meet the needs and preferences of this population nor tested for acceptability or use.

OBJECTIVE

The objective of our study is to develop a mobile app to create personal health libraries for individuals returning from incarceration to help bridge the transition from carceral settings to community living.

METHODS

Participants were recruited through Transitions Clinic Network clinic encounters and professional networking with justice-involved organizations. We used qualitative research methods to assess the facilitators and barriers to developing and using personal health information technology for individuals returning from incarceration. We conducted individual interviews with people just released from carceral facilities (n=~20) and providers (n=~10) from the local community and carceral facilities involved with the transition for returning community members. We used rigorous rapid qualitative analysis to generate thematic output characterizing the unique circumstances impacting the development and use of personal health information technology for individuals returning from incarceration and to identify content and features for the mobile app based on the preferences and needs of our participants.

RESULTS

As of February 2023, we have completed 27 qualitative interviews with individuals recently released from carceral systems (n=20) and stakeholders (n=7) who support justice-involved individuals from various organizations in the community.

CONCLUSIONS

We anticipate that the study will characterize the experiences of people transitioning from prison and jails to community settings; describe the information, technology resources, and needs upon reentry to the community; and create potential pathways for fostering engagement with personal health information technology.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/44748.

Multilevel Determinants of Digital Health Equity: A Literature Synthesis to Advance the Field

Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on (a) outlining a multilevel framework underlying digital health equity; (b) summarizingfive types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and (c) recommending future steps for improving policy, practice, and research in this space.

Impact of omicron wave and associated control measures in Shanghai on health management and psychosocial well-being of patients with chronic conditions

The objective of this cross-sectional study was to investigate health management, well-being, and pandemic-related perspectives of chronic disease patients in the context of stringent measures, and associated correlates. A self-report survey was administered during the Omicron wave lockdown in Shanghai, China. Items from the Somatic Symptom Scale (SSS) and Symptom Checklist-90 were administered, as well as pandemic-related items. Overall, 1,775 patients (mostly married females with hypertension) were recruited through a community family physician group. Mean SSS scores were 36.1 ± 10.5/80, with 41.5% scoring in the elevated range (i.e., >36). In an adjusted model, being female, diagnosis of coronary artery disease and arrhythmia, perceived impact of pandemic on life, health condition, change to exercise routine, tolerance of control measures, as well as perception of future and control measures were significantly associated with greater distress. One-quarter perceived the pandemic had a permanent impact on their life, and 44.1% perceived at least a minor impact. One-third discontinued exercise due to the pandemic. While 47.6% stocked up on their medications before the lockdown, their supply was only enough for two weeks; 17.5% of participants discontinued use. Chief among their fears were inability to access healthcare (83.2%), and what they stated they most needed to manage their condition was medication access (65.6%). Since 2020 when we assessed a similar cohort, distress and perceived impact of the pandemic have worsened. Greater access to cardiac rehabilitation in China could address these issues.

The Use of Robotic Technology in the Healthcare of People above the Age of 65-A Systematic Review

AIM

The integration of robots can help provide solutions in regards to the need for an increase in resources in healthcare. The aim of this review was to identify how robots are utilized in the healthcare of people who are over the age of 65 and how this population experiences interacting with healthcare robots.

DESIGN

A systematic literature review with an integrated design was conducted.

METHODS

A literature search was performed in the electronic databases CINAHL via EBSCO, EMBASE, and Medline via Ovid. Content analysis was performed to assess the studies that were included in this review.

RESULTS

A total of 14 articles were included. Participants in the studies included 453 older people ranging from 65 to 108 years of age. Nine of the studies focused on people with dementia or cognitive impairment. Seven studies included different types of socially assistive human-like robots, six of the studies included two different types of animal-like robots, and one study focused on a robotic rollator. The robots mainly served as social assistive- or engagement robots.

Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies

BACKGROUND

Globally, 81% of youth do not meet the physical activity (PA) guidelines. Youth of families with a low socioeconomic position are less likely to meet the recommended PA guidelines. Mobile health (mHealth) interventions are preferred by youth over traditional in-person approaches and are in line with their media preferences. Despite the promise of mHealth interventions in promoting PA, a common challenge is to engage users in the long term or effectively. Earlier reviews highlighted the association of different design features (eg, notifications and rewards) with engagement among adults. However, little is known about which design features are important for increasing engagement among youth.

OBJECTIVE

To inform the design process of future mHealth tools, it is important to investigate the design features that can yield effective user engagement. This systematic review aimed to identify which design features are associated with engagement in mHealth PA interventions among youth who were aged between 4 and 18 years.

METHODS

A systematic search was conducted in EBSCOhost (MEDLINE, APA PsycINFO, and Psychology & Behavioral Sciences Collection) and Scopus. Qualitative and quantitative studies were included if they documented design features associated with engagement. Design features and related behavior change techniques and engagement measures were extracted. Study quality was assessed according to the Mixed Method Assessment Tool, and one-third of all screening and data extraction were double coded by a second reviewer.

RESULTS

Studies (n=21) showed that various features were associated with engagement, such as a clear interface, rewards, multiplayer game mode, social interaction, variety of challenges with personalized difficulty level, self-monitoring, and variety of customization options among others, including self-set goals, personalized feedback, progress, and a narrative. In contrast, various features need to be carefully considered while designing mHealth PA interventions, such as sounds, competition, instructions, notifications, virtual maps, or self-monitoring, facilitated by manual input. In addition, technical functionality can be considered as a prerequisite for engagement. Research addressing youth from low socioeconomic position families is very limited with regard to engagement in mHealth apps.

CONCLUSIONS

Mismatches between different design features in terms of target group, study design, and content translation from behavior change techniques to design features are highlighted and set up in a design guideline and future research agenda.

TRIAL REGISTRATION

PROSPERO CRD42021254989; https://tinyurl.com/5n6ppz24.

Randomized trial protocol for remote monitoring for equity in advancing the control of hypertension in safety net systems (REACH-SNS) study

BACKGROUND

Self-measured blood pressure monitoring (SMBP) is essential to effective management of hypertension. This study aims to evaluate effectiveness and implementation of SMBP that leverages: cellular-enabled home BP monitors without a need for Wi-Fi or Bluetooth; simple communication modalities such as text messaging to support patient engagement; and integration into existing team-based workflows in safety-net clinics.

METHODS

This study will be conducted with patients in San Francisco who are treated within a network of safety-net clinics. English and Spanish-speaking patients with diagnosed hypertension will be eligible for the trial if they have recent BP readings ≥140/90 mmHg and do not have co-morbid conditions that make home BP monitoring more complex to manage. This study will implement a three-arm randomized controlled trial to compare varying levels of implementation support: 1) cellular-enabled BP monitors (with minimal implementation support), 2) cellular-enabled BP monitors with protocol-based implementation support (text reminders for patients; aggregated BP summaries sent to primary care providers), and 3) cellular-enabled BP monitors and pharmacist-led support (pharmacist coaching and independent medication adjustments).

RESULTS

For the main analysis, we will use mixed effects linear regression to compare the change in primary outcome of systolic BP. Secondary outcomes include BP control (<140/90 mmHg), medication intensification, patient-reported outcomes, and implementation processes (i.e., engagement with the intervention).

DISCUSSION

This study will design and test a digital health intervention for use in marginalized populations treated within safety net settings, evaluating both effectiveness and implementation to advance more equitable health outcomes.

Ethical considerations for developing pediatric mhealth interventions for teens with socially complex needs

TOPIC

Mobile Health (mHealth) stands as a potential means to better reach, assess, and intervene with teens with socially complex needs. These youth often face overlapping adversities including medical illness and a history of experiencing adverse childhood experiences (ACEs). Clinicians are faced with navigating ethical decisions when developing mHealth tools for teens who have socially complex needs. Many tools have been developed for adults from the general population. However, despite the development of thousands of mHealth interventions, developers tend to focus on designing for usability, engagement, and efficacy, with less attention on the ethical considerations of making such tools.

PURPOSE

To safely move mHealth interventions from research into clinical practice, ethical standards must be met during the design phase. In this paper we adapt the Four Box Model (i.e., medical indications, preferences of patients, quality of life, and contextual features) to guide mHealth developers through ethical considerations when designing mHealth interventions for teens who present with a medical diagnosis and a history of ACEs.

SOURCES

A review of language, inclusive features, data sharing, and usability is presented using both the Four Box Model and potential scenarios to guide each consideration.

CONCLUSIONS

To better support designers of mHealth tools we present a framework for evaluating applications to determine overlap with ethical design and are well suited for use in clinical practice with underserved pediatric patients.

Examining Equity in Access and Utilization of a Freely Available Meditation App

Digital interventions have the potential to alleviate mental health disparities for marginalized and minoritized communities. The current study examined whether disparities in access and utilization of meditation in the United States (US) were reduced for a freely available meditation app. We analyzed demographic and usage data from US-based users of the Healthy Minds Program (HMP; N = 66,482) between October 2019 and July 2022. College education was associated with a greater likelihood of accessing (65.0% of users vs. 32.9% of the US population) and continuing to utilize the app (β = .11-.17). Conversely, identifying as African American was associated lower likelihood of accessing (5.3% vs. 13.4% of US population) and continuing to utilize the app (β = -.02-.03). African Americans were more likely to access content from an African American meditation teacher, but this did not appear to increase utilization. Additional efforts are warranted to identify factors which might reduce disparities.

Application of artificial intelligence in medical technologies: A systematic review of main trends

Objective

Artificial intelligence (AI) has been increasingly applied in various fields of science and technology. In line with the current research, medicine involves an increasing number of artificial intelligence technologies. The introduction of rapid AI can lead to positive and negative effects. This is a multilateral analytical literature review aimed at identifying the main branches and trends in the use of using artificial intelligence in medical technologies.

Methods

The total number of literature sources reviewed is n = 89, and they are analyzed based on the literature reporting evidence-based guideline PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for a systematic review.

Results

As a result, from the initially selected 198 references, 155 references were obtained from the databases and the remaining 43 sources were found on open internet as direct links to publications. Finally, 89 literature sources were evaluated after exclusion of unsuitable references based on the duplicated and generalized information without focusing on the users.

Conclusions

This article is identifying the current state of artificial intelligence in medicine and prospects for future use. The findings of this review will be useful for healthcare and AI professionals for improving the circulation and use of medical AI from design to implementation stage.

Recommendations for design of a mobile application to support management of anxiety and depression among Black American women

Black American women experience adverse health outcomes due to anxiety and depression. They face systemic barriers to accessing culturally appropriate mental health care leading to the underutilization of mental health services and resources. Mobile technology can be leveraged to increase access to culturally relevant resources, however, the specific needs and preferences that Black women feel are useful in an app to support management of anxiety and depression are rarely reflected in existing digital health tools. This study aims to assess what types of content, features, and important considerations should be included in the design of a mobile app tailored to support management of anxiety and depression among Black women. Focus groups were conducted with 20 women (mean age 36.6 years, SD 17.8 years), with 5 participants per group. Focus groups were led by a moderator, with notetaker present, using an interview guide to discuss topics, such as participants' attitudes and perceptions towards mental health and use of mental health services, and content, features, and concerns for design of a mobile app to support management of anxiety and depression. Descriptive qualitative content analysis was conducted. Recommendations for content were either informational (e.g., information to find a Black woman therapist) or inspirational (e.g., encouraging stories about overcoming adversity). Suggested features allow users to monitor their progress, practice healthy coping techniques, and connect with others. The importance of feeling "a sense of community" was emphasized. Transparency about who created and owns the app, and how users' data will be used and protected was recommended to establish trust. The findings from this study were consistent with previous literature which highlighted the need for educational, psychotherapy, and personal development components for mental health apps. There has been exponential growth in the digital mental health space due to the COVID-19 pandemic; however, a one-size-fits-all approach may lead to more options but continued disparity in receiving mental health care. Designing a mental health app for and with Black women may help to advance digital health equity by providing a tool that addresses their specific needs and preferences, and increase engagement.

Perspectives of Kidney Transplant Recipients on eHealth: Semistructured Interviews

The acceptability and impact of eHealth on patient outcomes may be limited if their concerns and priorities are not addressed. This study aimed to describe the perspectives and experiences of eHealth among kidney transplant recipients.

METHODS

Face-to-face semistructured interviews were conducted with 30 adult kidney transplant recipients from New South Wales, Australia (urban and regional), in ambulatory clinics. We used purposive sampling to obtain a wide range of demographic and clinical characteristics. Transcripts were analyzed thematically. Ethics was approved by the Western Sydney Local Health District (6054-2019/ETH08718).

FINDINGS

Six themes were identified: seeking access to quality care (prioritizing and trusting clinician advice, better safety and timeliness, enabled by user-friendly content); supporting self-management (responsive to individualized informational need, empowerment through practical knowledge, encouraging connectedness); assessing reliability and trustworthiness (discerning information integrity, applying to own context, apprehensive about privacy and confidentiality); enhancing health system capabilities (synergy with routine consultations, essential to coordination, achieving goals by real-time monitoring); technology burden and limitation (uncertainty with navigation and comprehension, challenged by technical difficulties, requiring additional preparation, confrontation and distress); and lacking applicable value (diminished assurance of medical services, existing practice and procedures, hampered by low expectations and disinterest).

CONCLUSION

Recipients felt eHealth could support healthcare delivery and self-management activities. However, they encountered challenges in navigating technology and were concerned about privacy, confidentiality, and misinformation. eHealth that is accessible, individualized, and secure may improve patient satisfaction and outcomes.

Perceptions on wearable sensor-based interventions for monitoring of opioid therapy: A qualitative study

Prescription opioid use is a risk factor for the development of opioid use disorder. Digital solutions, including wearable sensors, represent a promising opportunity for health monitoring, risk stratification and harm reduction in this treatment space. However, data on their usability and acceptability in individuals using opioids is limited. To address this gap, factors that impact usability and acceptability of wearable sensor-based opioid detection were qualitatively studied in participants enrolled in a wearable sensor-based opioid monitoring research study. At the conclusion of the monitoring period, participants were invited to take part in semi-structured interviews developed based on the technology acceptance model. Thematic analysis was conducted first using deductive, then inductive coding strategies. Forty-four participants completed the interview; approximately half were female. Major emergent themes include sensor usability, change in behavior and thought process related to sensor use, perceived usefulness in sensor-based monitoring, and willingness to have opioid use patterns monitored. Overall acceptance for sensor-based monitoring was high. Aesthetics, simplicity, and seamless functioning were all reported as key to usability. Perceived behavior changes related to monitoring were infrequent while perceived usefulness in monitoring was frequently projected onto others, requiring careful consideration regarding intervention development and targeting. Specifically, care must be taken to avoid stigma associated with opioid use and implied misuse. The design of sensor systems targeted for opioid use must also consider the physical, social, and cognitive alterations inherent in the respective disease processes compared to routine daily life.

Comparing Professional and Consumer Ratings of Mental Health Apps: Mixed Methods Study

Background

As the number of mental health apps has grown, increasing efforts have been focused on establishing quality tailored reviews. These reviews prioritize clinician and academic views rather than the views of those who use them, particularly those with lived experiences of mental health problems. Given that the COVID-19 pandemic has increased reliance on web-based and mobile mental health support, understanding the views of those with mental health conditions is of increasing importance.

Objective

This study aimed to understand the opinions of people with mental health problems on mental health apps and how they differ from established ratings by professionals.

Methods

A mixed methods study was conducted using a web-based survey administered between December 2020 and April 2021, assessing 11 mental health apps. We recruited individuals who had experienced mental health problems to download and use 3 apps for 3 days and complete a survey. The survey consisted of the One Mind PsyberGuide Consumer Review Questionnaire and 2 items from the Mobile App Rating Scale (star and recommendation ratings from 1 to 5). The consumer review questionnaire contained a series of open-ended questions, which were thematically analyzed and using a predefined protocol, converted into binary (positive or negative) ratings, and compared with app ratings by professionals and star ratings from app stores.

Results

We found low agreement between the participants’ and professionals’ ratings. More than half of the app ratings showed disagreement between participants and professionals (198/372, 53.2%). Compared with participants, professionals gave the apps higher star ratings (3.58 vs 4.56) and were more likely to recommend the apps to others (3.44 vs 4.39). Participants’ star ratings were weakly positively correlated with app store ratings (r=0.32, P=.01). Thematic analysis found 11 themes, including issues of user experience, ease of use and interactivity, privacy concerns, customization, and integration with daily life. Participants particularly valued certain aspects of mental health apps, which appear to be overlooked by professional reviewers. These included functions such as the ability to track and measure mental health and providing general mental health education. The cost of apps was among the most important factors for participants. Although this is already considered by professionals, this information is not always easily accessible.

Conclusions

As reviews on app stores and by professionals differ from those by people with lived experiences of mental health problems, these alone are not sufficient to provide people with mental health problems with the information they desire when choosing a mental health app. App rating measures must include the perspectives of mental health service users to ensure ratings represent their priorities. Additional work should be done to incorporate the features most important to mental health service users into mental health apps.