The influence of mobile health applications on patient - healthcare provider relationships: A systematic, narrative review

Telehealth Interventions in Pharmacy Practice: Systematic Review of Reviews and Recommendations

BACKGROUND

Pharmaceutical care has expanded, with telehealth playing a key role, especially during the COVID-19 pandemic. Despite global growth, existing reviews focus on specific settings or conditions, highlighting the need for broader research on public health topics and comparative studies to evaluate the effectiveness, preferences, and cost of telehealth interventions in pharmacy practice.

OBJECTIVE

The aim of this study was to unify existing literature on the impact of telehealth on future pharmacy practice and to analyze those already implemented in current pharmacy practice, with the objective of providing recommendations.

METHODS

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was used to guide this review. In total, 4 databases were searched for relevant studies: PubMed, CINAHL, Web of Science, and Cochrane Library. Title, abstract, and full-text screening was performed, and 18 reviews met the selection criteria. The search period was from August 1, 2012, to December 22, 2024. The quality of the reviews was assessed using a 5-point Likert scale and a GRADE-CERQual scale.

RESULTS

Based on the identified reviews, telehealth interventions were categorized into teleconsultation, telemonitoring, telecollaboration, and telesupport. Teleconsultation was the most frequently used. Telephones were most common in teleconsultations and telemonitoring, while mobile, web, or computer applications were most frequent in telesupport. A combination of methods was most used to facilitate telecollaboration, such as telephone, fax, electronic messaging, shared electronic records, and videoconferencing. The identified reviews were evaluated by health outcomes, hospital readmission rates, patient safety, adherence, satisfaction, pharmacist shortage, and quality and access to care. The use of telehealth in pharmacy has generally seen an improvement in overall outcomes compared to traditional pharmacy practice. Our results show a strong push to integrate telehealth into future pharmacy practice, with the United States leading the way in adoption, demonstrating increased care access, quality, and patient safety. In Singapore, telephone consultations have been commonly used in hospitals, though community settings lack widespread adoption. However, the growing digital literacy of older adults and innovations like chatbots and telemonitoring present opportunities to expand telehealth services. To align with this shift, pharmacy education should invest in enhancing formative training by incorporating telehealth training, ensuring future pharmacists are prepared for this evolving practice, applicable to regions with similar contexts.

CONCLUSIONS

Telehealth has shown promise in improving overall outcomes in pharmacy practice. While many countries have made strides, particularly in hospital settings, there remains an opportunity for greater adoption in community health care, driven by innovations like telemonitoring and digital literacy among older adults. The findings from this study can be used to inform future implementation of telehealth interventions in pharmacy in Singapore and other regions or cities with similar contexts.

Risk factors and resolution of patient-reported pain and mental health symptoms following rib fracture(s)

BACKGROUND

Rib fractures, constituting 10% to 15% of trauma admissions, contribute significantly to morbidity and mortality. Effective postdischarge patient care remains a challenge. Our system has operationalized patient-reported outcome measures (PROMs) via a mobile platform into routine postdischarge monitoring for rib fracture patients. This study aimed to use PROMs to investigate the association between patient factors and postdischarge pain and mental health.

METHODS

We collected PROMs from nine Midwest trauma hospitals (2021-2022) using a mobile platform. The platform provided automated check-ins, education, health reminders, and 24/7 monitored interventions based on PROM responses. Multivariate logistic regression was used to investigate the association of patient factors for the primary outcome. The primary outcome was pain 2 weeks postdischarge (days 4-14). Secondary outcomes were mental health at 1 week, with long-term assessments at one and 3 months.

RESULTS

Of 72 patients, 55.6% reported moderate to severe pain at 2 weeks, with higher admission pain scores associated with increased pain (odds ratio, 1.69; 95% confidence interval, 1.15-2.5; p < 0.01). By 4 weeks, 29.4% of responding patients reported persistent moderate-to-severe pain, decreasing to 4.0% by 12 weeks. Patients with moderate-to-severe pain within the first 2 weeks also reported significantly higher rates of mental health symptoms at (44.8% vs. 16.7%) compared with mild pain. By weeks 4 and 12, mental health differences between pain groups were insignificant.

CONCLUSION

This study suggests a potential link between early pain and mental health symptoms. In addition, higher pain at admission may predict worse pain outcomes 2 weeks postdischarge. Patients in our cohort showed improvement in both pain and mental health symptoms within 4 to 12 weeks. These findings highlight the opportunity for PROMs and mobile apps to support optimal postdischarge follow-up and help minimize persistent pain, particularly for rib fracture patients with identifiable risk factors.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level III.

Examining digital care relationships of medicaid participants in the pre/postnatal care period: a qualitative study

BACKGROUND

Underserved populations in the United States are at higher risk for poor maternal health outcomes. New models of care, such as telehealth, can offer additional support, including access to care 24/7/365 days a year; however, little is known about their impact on nurse-patient relationships. This study aimed to explore the perspectives of patients and nurses (registered and advanced practice registered nurses) on the relationships established through a telehealth program for pregnant and postpartum women.

METHODS

A qualitative, descriptive, longitudinal study was conducted between December 2022 and December 2023. Semi-structured interviews were completed with 28 individuals in the first year after the program's launch. Among the participants, 23 were pregnant or postpartum women enrolled in a pregnancy and postpartum support program, and five were nurses involved in delivering the program. The semi-structured interviews were conducted remotely using a phone or an online platform. The interviews were analyzed using thematic analysis.

RESULTS

Two major themes, Therapeutic Nurse-Patient Relationships and Programmatic Aspects that Support Virtual Relationships, along with twelve subthemes, were identified. Participants felt that the programmatic aspects allowed them to create meaningful relationships with their care providers. In addition, the digital services offered a nonjudgmental and supportive method for women to receive care and education when and where they need it. From the nurses' standpoint, they felt that they could personalize the care for women without the time limitations typical in an in-person clinical encounter.

CONCLUSIONS

Supporting women through digital models of care can influence their engagement and relationships with their nurses. Findings show that both the women and the nurses reported being able to establish positive relationships, although they described them differently. As a result, women reported feeling comfortable accessing care and asking pregnancy-related questions, suggesting that telehealth programs can foster the development of therapeutic nurse-patient relationships.

Examining the challenges in sustaining user engagement with a mobile app to enhance multidrug-resistant tuberculosis (MDR-TB) care in Vietnam and its implications for implementing person-centred mHealth interventions

Digital health technologies, especially mobile application (mHealth), offer great potential for enhancing person-centred care and managing MDR-TB. The rapid expansion of digital infrastructure in Vietnam presents a valuable opportunity for such interventions. This qualitative study examines user experiences to explain reported reduction in engagement with (i.e. use of) a smartphone app which is being trialed to improve early detection and management of adverse events (AEs) among MDR-TB patients in Vietnam (VSMART trial). We conducted 37 in-depth interviews with patients and healthcare workers (HCWs) and thematically analyzed the data. Initially, patients were motivated to use the app seeing it as a promise of the provision of 'good care' from trusted healthcare workers, and over-estimated its functional capacity. However, as patients realized its functional limitations for AE reporting and management they reverted to communicating with HCWs through existing communication channels. While the app empowered patients to communicate with HCWs for AE reporting, it inadvertently increased HCWs' workloads which became difficult to manage. This resulted in a paradox where the app was used because of its social value, in spite of its limited functional value. This study reveals how relational and socially mediated effects of technology may complicate mHealth design and implementation, illuminating why 'acceptable' technologies within pilot/projects could struggle to sustain engagement a scale. To support attention to this process, we propose an explanatory framework that captures the social-functional dynamics of mHealth interventions which can guide much needed qualitative evaluation to support the design of mHealth technologies to align with stakeholders' needs and suited for integration into local healthcare systems.

Gamified Mobile Health Strategies for Promoting Physical Activity in Autistic Adults

Physical inactivity and sedentarism among autistic adults are a growing public health concern. By integrating behavior change theories and emphasizing unique preferences for visuospatial learning and gaming technology, we hypothesize that gamified mobile health (mHealth) applications can be effective at increasing free-living physical activity and reducing sedentary behavior in autistic adults.

Applications, challenges and future directions of artificial intelligence in cardio-oncology

BACKGROUND

The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth of cardio-oncology. As cancer treatments become more complex, there is an increasing need to enhance diagnostic and therapeutic strategies for managing their cardiovascular side effects.

OBJECTIVE

This review investigates the potential of artificial intelligence (AI) to revolutionize cardio-oncology by integrating diverse data sources to address the challenges of cardiotoxicity management.

METHODS

We explore applications of AI in cardio-oncology, focusing on its ability to leverage multiple data sources, including electronic health records, electrocardiograms, imaging modalities, wearable sensors, and circulating serum biomarkers.

RESULTS

AI has demonstrated significant potential in improving risk stratification and longitudinal monitoring of cardiotoxicity. By optimizing the use of electrocardiograms, non-invasive imaging, and circulating biomarkers, AI facilitates earlier detection, better prediction of outcomes, and more personalized therapeutic interventions. These advancements are poised to enhance patient outcomes and streamline clinical decision-making.

CONCLUSIONS

AI represents a transformative opportunity in cardio-oncology by advancing diagnostic and therapeutic capabilities. However, successful implementation requires addressing practical challenges such as data integration, model interpretability, and clinician training. Continued collaboration between clinicians and AI developers will be essential to fully integrate AI into routine clinical workflows.

Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study

Background

Digital health interventions such as web health applications significantly enhance screening accessibility and uptake, particularly for individuals with low literacy and income levels. By involving stakeholders-including health care professionals, patients, and technical experts-an intervention can be tailored to effectively meet the users' needs, ensuring contextual relevance for better acceptance and impact.

Objective

The aim of this study is to prioritize the content and user interface appropriate for developing a web health application, known as the MAwar app, to promote breast and cervical cancer screening.

Methods

A cross-sectional study for stakeholder engagement was conducted to develop a web-based application known as the MAwar app as part of a larger study entitled "The Effectiveness of an Interactive Web Application to Motivate and Raise Awareness on Early Detection of Breast and Cervical Cancers (The MAwar study)". The stakeholder engagement process was conducted in a public health district that oversees 12 public primary care clinics with existing cervical and breast cancer screening programs. We purposively selected the stakeholders for their relevant roles in breast and cervical cancer screening (health care staff, patients, and public representatives), as well as expertise in software and user interface design (technology experts). The Quality Function Deployment method was used to reflect the priorities of diverse stakeholders (health care, technology experts, patients, and public representatives) in its design. The Quality Function Deployment method facilitated the translation of stakeholder perspectives into app features. Stakeholders rated features on a scale from 1 (least important) to 5 (most important), ensuring the app's design resonated with user needs. The correlations between the "WHATs" (user requirements) and the "HOWs" (technical requirements) were scored using a 3-point ordinal scale, with 1 indicating weak correlation, 5 indicating medium correlation, and 9 indicating the strongest correlation.

Results

A total of 13 stakeholders participated in the study, including women who had either underwent or never had health screening, a health administrator, a primary care physician, medical officers, nurses, and software designers. Stakeholder evaluations highlighted cost-free access (mean 4.64, SD 0.81), comprehensive cancer information (mean 4.55, SD 0.69), detailed screening benefits (mean 4.45, SD 0.68), detailed screening facilities (mean 4.45, SD 0.68) and personalized risk calculator for breast and cervical cancers (mean 4.45, SD 0.68) as essential priorities of the app. The highest-ranked features include detailed information on screening procedures (weighted score [WS]=367.84), information on treatment options (WS=345.80), benefits of screening (WS=333.75), information about breast and cervical cancers (WS=332.15), and frequently asked questions about the concerns around screening (WS=312.00).

Conclusions

The MAwar app, conceived through a collaborative, stakeholder-driven process, represents a significant step in leveraging digital health solutions to tackle cancer screening disparities. By prioritizing accessibility, information quality, and clarity on benefits, the app promises to encourage early cancer detection and management for targeted communities.

Benefits and Barriers to mHealth in Hypertension Care: Qualitative Study With German Health Care Professionals

BACKGROUND

Digital health technologies, particularly mobile health (mHealth) apps and wearable devices, have emerged as crucial assets in the battle against hypertension. By enabling lifestyle modifications, facilitating home blood pressure monitoring, and promoting treatment adherence, these technologies have significantly enhanced hypertension treatment.

OBJECTIVE

This study aims to explore the perspectives of health care professionals (HCPs) regarding the perceived benefits and barriers associated with the integration of mHealth apps into routine hypertension care. Additionally, strategies for overcoming these barriers will be identified.

METHODS

Through qualitative analysis via semistructured interviews, general practitioners (n=10), cardiologists (n=14), and nurses (n=3) were purposefully selected between October 2022 and March 2023. Verbatim transcripts were analyzed using qualitative content analysis.

RESULTS

The results unveiled 3 overarching themes highlighting the benefits of mHealth apps in hypertension care from the perspective of HCPs. First, these technologies possess the potential to enhance patient safety by facilitating continuous monitoring and early detection of abnormalities. Second, they can empower patients, fostering autonomy in managing their health conditions, thereby promoting active participation in their care. Lastly, mHealth apps may provide valuable support to medical care by offering real-time data that aids in decision-making and treatment adjustments. Despite these benefits, the study identified several barriers hindering the seamless integration of mHealth apps into hypertension care. Challenges predominantly revolved around data management, communication contexts, daily routines, and system handling. HCPs underscored the necessity for structural and procedural modifications in their daily practices to effectively address these challenges.

CONCLUSIONS

In conclusion, the effective usage of digital tools such as mHealth apps necessitates overcoming various obstacles. This entails meeting the information needs of both HCPs and patients, tackling interoperability issues to ensure seamless data exchange between different systems, clarifying uncertainties surrounding reimbursement policies, and establishing the specific clinical benefits of these technologies. Active engagement of users throughout the design and implementation phases is crucial for ensuring the usability and acceptance of mHealth apps. Moreover, enhancing knowledge accessibility through the provision of easily understandable information about mHealth apps is essential for eliminating barriers and fostering their widespread adoption in hypertension care.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00029761; https://drks.de/search/de/trial/DRKS00029761.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.3389/fcvm.2022.1089968.

Attitudes of the general population and mental health practitioners towards blended therapy in Austria

INTRODUCTION

Mental health problems are steadily increasing worldwide. In Austria, the overall supply of mental health services is low, especially in rural areas. Mobile technology and a blended care approach have the potential to overcome problems with service provision. The aim of this study was to map the attitudes of practitioners and people living in Austria towards blended therapy.

METHOD

Two individual online questionnaires (including the Unified Theory of Acceptance and Use of Technology, advantages and disadvantages, useful features) were distributed to practitioners and the general population in Austria.

RESULTS

The questionnaires were answered by 152 members of the general public and 129 practitioners. The general population and practitioners seem to be cautious, but slightly positive about blended therapy. Previous experience of practitioners with blended therapy was low. Practitioners are most worried about the therapeutic process and their work-life balance, while the general population is worried about being overwhelmed by the concept, mainly due to the time investment. Tracking, recording and reminding functions (e.g., for mood, homework) were seen as especially valuable features and accessibility was deemed the biggest advantage by both samples.

CONCLUSION

Practitioners' attitudes are important for implementation of blended therapy. More awareness might help against the cautiousness as well as implementing digital health applications in Austrian health policies.

Effectiveness of Mobile Health Intervention in Medication Adherence: a Systematic Review and Meta-Analysis

Low medication adherence poses a great risk of poor treatment outcomes among patients with chronic diseases. Recently, mobile applications (apps) have been recognized as effective interventions, enabling patients to adhere to their prescriptions. This study aimed to establish the effectiveness of mobile app interventions for medication adherence, affecting features, and dropout rates by focusing on previous randomized controlled trials (RCTs). This study conducted a systematic review and meta-analysis of mobile app interventions targeting medication adherence in patients with chronic diseases. Electronic searches of eight databases were conducted on April 21, 2023, for studies published between 2013 and 2023. Comprehensive meta-analysis software was used to estimate the standardized mean difference (SMD) of pooled outcomes, odds ratios (ORs), and confidence intervals (CIs). Subgroup analysis was applied to investigate and compare the effectiveness of the interventional strategies and their features. The risk of bias of the included RCTs was evaluated by applying the risk of bias tool. Publication bias was examined using the fail-safe N method. Twenty-six studies with 5,174 participants were included (experimental group 2603, control group 2571). The meta-analysis findings showed a positive impact of mobile apps on improving medication adherence (OR = 2.371, SMD = 0.279). The subgroup analysis results revealed greater effectiveness of interventions using interactive strategies (OR = 2.652, SMD = 0.283), advanced reminders (OR = 1.849, SMD = 0.455), data-sharing (OR = 2.404, SMD = 0.346), and pill dispensers (OR = 2.453). The current study found that mobile interventions had significant effects on improving medication adherence. Subgroup analysis showed that the roles of stakeholders in health providers' interactions with patients and developers' understanding of patients and disease characteristics are critical. Future studies should incorporate advanced technology reflecting acceptability and the needs of the target population.

Symptom Reporting in Patients with Primary Biliary Cholangitis: Higher Burden of Symptom Detection Using an Interactive App

INTRODUCTION

Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease causing bile duct destruction and inflammation, impacting patient's quality of life (QoL) due to variable symptoms. Digital symptom-tracker apps may improve patient care through enhanced monitoring. This study reassessed symptom burden in PBC patients using a tailored symptom-tracker app, focusing on its usability, effectiveness, and impact on management and QoL.

METHODS

Based on Kautz5 gUG "Symptomtracker," our app in REDCap allowed users to log PBC symptoms over 4 weeks, alongside medication use. Ethics approval and data security complied with German regulations. User feedback was incorporated for better usability. Symptom data were standardized, and R software was used for descriptive statistics and Chi-square tests.

RESULTS

From March 2023 to October 2024, 210 patients (190 female, 20 male) were enrolled, median age 51 years. Among 90 patients who completed the questionnaire, fatigue was most prevalent (87.8%), followed by joint pain (80%), concentration difficulties (74.4%), abdominal discomfort (70%), and sicca symptoms. Other common symptoms were leg cramps (50%) and swollen feet (40%); jaundice was rare (7.8%). Older patients, especially those aged 50-60, reported a higher symptom burden, but Chi-square tests showed no significant differences across age or gender.

CONCLUSION

This study highlights a significant symptom burden in PBC, particularly fatigue and joint pain. While older patients reported more symptoms, no significant differences were observed by age or gender. The symptom-tracker app enhanced monitoring and patient engagement, showing the potential of digital tools in PBC management. Further research is needed to evaluate long-term impacts.

User-centred design of ChestCare: mHealth app for pulmonary rehabilitation for patients with COPD; a mixed-methods sequential approach

Background

The increasing prevalence and burden of chronic obstructive pulmonary disorder (COPD), the challenges in implementing pulmonary rehabilitation (PR) programs and the limited availability of alternatives and supportive programs to serve patients with COPD necessitate the development of pulmonary telerehabilitation (PTR) systems to provide patients with COPD with PR programs.

Objective

This study aimed to design and develop the ChestCare mobile Health app using user-centred design (UCD) approach. Thus, it provided PTR for patients with COPD, enhancing their self-management of symptoms and improving their compliance with PR programs.

Methods

In this mixed-methods sequential research, we deployed the UCD iterative design through the prototype app design and development sequence. The first phase was built based on the results of a previous needs assessment study and an analysis of related apps. This produced the initial mock-up, the foundation for the focus group discussions with physiotherapists and patients. Six physiotherapists with cardiorespiratory specialisation evaluated each app module and item of the latest mock-up using the content validity index (CVI) document. The I-CVI (S-CVI/Ave) and (S-CVI/UA) were computed. Qualitative and quantitative data were integrated, and decisions were made by comparing their results.

Results

The UCD iterative design through sequential MMR has generated four mock-up app versions. The latest version identified 13 modules through 150 items validated by six experts using a CVI document. The I-CVI calculation of 145 items was 1, while 0.83 for the remaining items, was within accepted values. The S-CVI scored 99.4, indicating an overall validity of the ChestCare app as a PTR system for patients with COPD.

Conclusions

The development and validation of the ChestCare app resulted from conducting UCD iterative design and sequential MMR, which identified 13 functionalities, including symptom assessment, tracking lung volume, functional capacity test, action plan, intervention program, COPD education, COPD community, monitoring and reminders.

The effect of mobile application based genetic counseling on the psychosocial well-being of thalassemia patients and caregivers: A randomized controlled trial

OBJECTIVE

This study was carried out to investigate the effects of mobile application based genetic counseling on the psychosocial well-being of thalassemia patients and caregivers.

METHODS

A randomized controlled trial was conducted with 80 patients, divided equally between the intervention and control groups. Additionally, 192 caregivers were included, with an equal distribution of 96 in the two groups. The intervention group received mobile application based genetic counseling, while the control received standard routine care. Assessments of quality of life, satisfaction, depression, and anxiety were conducted at baseline (T0), one-month post-intervention (T1), and three months post-intervention (T2). Furthermore, data analysis was performed using the Generalized Estimation Equation Model (GEE) approach in SPSS version 25.0.

RESULTS

Mobile application based genetic counseling had significant effects on various aspects of the well-being of thalassemia patients and caregivers. These effects include improvements in quality of life, patient satisfaction, reduction in depression, and alleviation of anxiety (p < 0.05).

CONCLUSION

Mobile application based genetic counseling showed a significant effect in improving psychosocial well-being among patients and caregivers.

PRACTICE IMPLICATIONS

The results obtained practical implications for the integration of genetic counseling interventions, particularly through the application of information technology such as Cyber Gen application.

From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China

With the acceleration of the aging process in China, chronic diseases have become one of the main health threats for older adults, creating significant pressure on society and the healthcare system. As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. However, utilization rates among the older adults, especially those with chronic illnesses, remain low, preventing them from fully benefiting from these advanced technologies. The value of mobile health (mHealth) services can only be realized through sustained use. Therefore, this study empirically investigates the continuous use intention of mHealth services from the perspective of older adults with chronic illnesses, integrating the Technology Acceptance Model (TAM) and Value-Based Adoption Model (VAM). A total of 372 questionnaires were collected from various cities in China, and data were analyzed using SPSS 24.0 and Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that perceived ease of use (β = 0.155, p = 0.004; β = 0.116, p = 0.027) and perceived usefulness (β = 0.175, p = 0.001; β = 0.151, p = 0.004) have a significant positive impact on attitude and perceived value. Perceived enjoyment significantly influences attitude (β = 0.147, p = 0.010), while perceived risk (β = -0.189, p < 0.001; β = -0.281, p < 0.001) and perceived cost (β = -0.155, p = 0.003; β = -0.130, p = 0.022) have a significant negative impact on attitude and perceived value. Both attitude (β = 0.357, p < 0.001) and perceived value (β = 0.314, p < 0.001) positively impact continuous intention. In total, only one of the twelve hypotheses was not supported. This study not only provides strong evidence for the effectiveness of the integrated TAM and VAM model in the mHealth field but also offers theoretical insights and practical recommendations for product optimization and promotion to mHealth service providers and designers.

Exploring mHealth app utilization for diabetes self-management: survey insights from a northern district in Malaysia

BACKGROUND

Mobile health applications (mHealth apps) offer potential benefits for improving diabetes management, such as better glucose monitoring and patient engagement, but their widespread adoption faces challenges, including privacy concerns and user adherence. This research investigates mHealth app usage among patients living with diabetes in Kinta District, Perak, exploring experiences, challenges and patient perceptions regarding diabetes management using mHealth apps.

METHODOLOGY

A cross-sectional community survey was conducted in September till November 2020 across nine government health clinics focusing on diabetes mellitus (Type 1 or Type 2) patients, aged 18 years and older, receiving Diabetes Medication Adherence Counseling (DMTAC) services and able to use smart devices. A self-developed questionnaire with four sections was used to gather demographic information, explore mHealth apps usage and understand both users and non-users' experiences and perceptions. The questionnaire was tested through cognitive debriefing, translated into Malay, pre-tested and finalized by the expert committee. The questionnaire was digitally implemented using Google® Form and QR code. After obtaining informed consent, data collection was performed by the trained DMTAC pharmacists. Statistical analyses involved descriptive and inferential analyses.

RESULTS

The study analyzed the engagement of 295 patients living with diabetes with mHealth apps. Females (54.9%), of Malay ethnicity (58.3%) and with a mean age of 53.8 years (SD: 12.38) constituted the majority. Diabetes duration had a median of 6 years (IQR: 3.0, 10.0) with prevalent comorbidities like hypertension (58.0%) and dyslipidemia (42.7%). Most patients were employed (44.7%) and their primary source of diabetes management information was through healthcare providers (92.5%). Despite the high app use for social interaction, only 13.6% used mHealth apps for disease management. Users were influenced by social media (65.0%) and favored for wellness apps and disease monitoring. Users perceived the mHealth app as useful (97.5%), yet faced challenges over the app initiation, charges and data security. Non-users cited lack of awareness (70.2%), struggled with app startup (22.4%) and preference for conventional healthcare visits (22.0%). In multivariable analysis, longer diabetes duration reduced mHealth app usage (p = 0.046), while multimorbidity increased the likelihood (p = 0.001). Awareness of the availability of health apps significantly influenced the usage of mHealth apps (p < 0.001).

CONCLUSION

The findings highlight the underutilization of mHealth apps for diabetes management despite their perceived usefulness. Challenges faced by users and non-users underscore the need for more awareness, thus encourage widespread acceptance and usage of mHealth apps in diabetes care.

Mobile health applications for individuals with psoriatic arthritis

Objectives

Mobile health applications (apps) hold promise as tools for symptom tracking and management of chronic rheumatic diseases such as PsA. Apps for PsA have not been systematically evaluated. We conducted a comprehensive review of apps designed for patients with PsA.

Methods

The iOS and Android app stores were searched using the term 'arthritis' and individual app descriptions were reviewed for 'psoriatic arthritis'. Apps were downloaded and rated using the Mobile Application Rating Scale (MARS). Additionally, the apps were evaluated to determine functionality, use of symptom scales and potential for integration within clinical care.

Results

The search was conducted in spring 2024 and 130 apps were found that mentioned 'arthritis'. Seven had specific mentions of PsA in their description. We found several other relevant apps by following recommendations in the app stores. In total, 10 apps for patients with PsA were identified. MARS scores suggest they were moderate to excellent in quality. The functionality of the 10 apps differed: 7 allowed for symptom tracking, 3 allowed for data export to health records, 2 allowed for medication tracking and 1 contained a patient community platform. The symptom tracking capabilities varied widely and we could find only one published study of any of the apps.

Conclusions

We analysed apps for PsA to identify potential unmet needs and found that there are few publicly available apps, their functionality varies tremendously and testing of these apps is almost non-existent. There appears to be room for improvement of apps for PsA.

Patient and staff perspectives on pain treatment experiences in a community clinic serving under-resourced older adults

AIMS

Chronic pain affects up to 37.8% of older adults with higher prevalence among those in under-resourced communities. While there are many treatments for chronic pain, there are complexities to treating under-resourced older adults in community clinics, including multimorbidity, barriers to treatment access, and varying degrees of openness to different treatment approaches. Understanding patient and clinic staff perceptions of treatment options for chronic pain is critical for implementing treatment approaches that will work sustainably in the community. This study aimed to understand clinic staff and patients' perspectives on chronic pain treatment experiences.

METHODS

Focus groups and individual interviews were analyzed using a hybrid inductive-deductive approach.

RESULTS

Themes are: (1) Limited patient and clinic resources and availability affecting pain treatment experiences (e.g., copays, transportation challenges, and conflicting responsibilities), (2) Discrepancies in patient and staff approaches to treatment and the importance of trialing different pain management techniques to alleviate pain (e.g., trialing multiple treatments with varied success), and (3) Conflict between patients' desire for pain elimination vs. staffs' focus on symptom reduction and function (e.g., patient-staff disconnect).

CONCLUSIONS

These findings are important for determining how treatments can best fit the needs of under-resourced older adults with chronic pain.

Telemonitoring of pediatric asthma in outpatient settings: A systematic review

Telemonitoring technologies are rapidly evolving, offering a promising solution for remote monitoring and timely management of asthma acute episodes. We aimed to describe current pediatric asthma telemonitoring technologies. A systematic review was conducted until September 2023 on Medline, Scopus, and Web of Science. We included studies of children (0-18 years) with asthma or recurrent wheezing whose respiratory condition was telemonitored outside the healthcare setting. A narrative synthesis was performed. We identified 40 telemonitoring technologies described in 40 studies. The more frequently used technologies for telemonitoring were mobile applications (n = 21) and web-based systems (n = 14). Telemonitoring duration varied between 2 weeks and 32 months. Data collection included asthma symptoms (n = 30), patient-reported outcome measures (PROMs) (n = 11), spirometry/peak flow readings (n = 20), medication adherence (n = 17), inhaler technique (n = 3), air quality (n = 2), and respiratory sounds (n = 2). Both parents and children were the technology target users in most studies (n = 23). Technology training was reported in 23 studies of which 3 provided ongoing support. Automatic feedback was found in 30 studies, mostly related with asthma control. HCP were involved in data management in 27 studies. Technologies were tested in samples from 4 to 327 children, with most studies including school-aged children and/or adolescents (n = 38) and eight including preschool children. This review provides an overview of existing technologies for the outpatient telemonitoring of pediatric asthma. Specific technologies for preschool children represent a gap in the literature that needs to be specifically addressed in future research.

Mobile Patient-Provider Communication and Lifestyle Improvement: Examining the Role of Mobile Technology Identity and Health Empowerment

In the span of a decade, smartphones have gained popularity and acceptance among both patients and physicians thanks to their advantages in health care delivery. However, research investigating mobile patient-provider communication (MPPC) and its impact on patients' lifestyles is only just beginning. Drawing on the pathway model of health communication and mobile technology (MTI) theory, we developed a research model to explore the effect of MPPC on lifestyle improvement, using health empowerment as a mediator and MTI as a moderator. The findings from 432 participants (Mage = 32.5 years old, female = 212) suggested that after controlling for respondents' age, gender, education, income, and general health status, having greater communication with healthcare providers through mobile devices was positively related to lifestyle improvement and that health empowerment mediated this relationship. Moreover, MTI-emotional energy (MTIE) moderated the direct relationship between MPPC and lifestyle improvement, while MTI-dependency (MTID) moderated the indirect impact of MPPC. Individuals who hold a greater MTIE/MTID were more likely to benefit from MPPC such that they are more likely to be empowered for self-care and maintain healthy lifestyles. This study not only contributes to the growing literature on mobile health communication but also plays a reference role for interventions in patient empowerment and health promotion. Theoretical and practical implications were discussed.

Digitally mediated relationships: How social representation in technology influences the therapeutic relationship in primary care

Relationships, built on trust, knowledge, regard, and loyalty, have been demonstrated to be fundamental to health care delivery. Strong relationships between patients and providers have been linked to more compassionate care delivery, and better patient experience and outcomes, and may be particularly important in primary care. The rapid adoption of digital technologies since the onset of COVID-19 has led health care systems to seriously consider a "digital-first" primary care delivery model. Questions remain regarding what impact this transformation will have on the therapeutic relationship. Using a rapid ethnographic approach this study explores how patient and provider understandings of therapeutic relationships and digital health technologies may influence relationship-building or maintenance between patients with complex care needs and their care providers. Three team-based primary care sites in Toronto, Ontario, Canada were included in the study. Across the three sites 9 patients with chronic health conditions, 1 caregiver, and 10 healthcare providers (including family physicians, family medicine residents, social workers, and nurse practitioners) participated. Interviews were conducted with all participants and 8 observations of virtual clinical encounters (phone and video visits) were conducted. Using social representation theory as a lens, analysis revealed that participants' constructions of therapeutic relationships and digital technologies were informed by their identities, experiences, and expectations. For participants to see technologies as enabling to the therapeutic relationship, there needed to be alignment between how participants viewed the role of technology in care and in their lives, and how they recognized (or constructed) a good therapeutic relationship. This exploratory work suggests the need to think about how both patients' and providers' views of technology may determine whether digital technologies can be leveraged to meet patient needs while maintaining, or building, strong therapeutic relationships.

Cancer Patients' Perspectives and Requirements of Digital Health Technologies: A Scoping Literature Review

Digital health technologies have the potential to alleviate the increasing cancer burden. Incorporating patients' perspectives on digital health tools has been identified as a critical determinant for their successful uptake in cancer care. The main objective of this scoping review was to provide an overview of the existing evidence on cancer patients' perspectives and requirements for patient-facing digital health technologies. Three databases (CINAHL, MEDLINE, Science Direct) were searched and 128 studies were identified as eligible for inclusion. Web-based software/platforms, mobile or smartphone devices/applications, and remote sensing/wearable technologies employed for the delivery of interventions and patient monitoring were the most frequently employed technologies in cancer care. The abilities of digital tools to enable care management, user-friendliness, and facilitate patient-clinician interactions were the technological requirements predominantly considered as important by cancer patients. The findings from this review provide evidence that could inform future research on technology-associated parameters influencing cancer patients' decisions regarding the uptake and adoption of patient-facing digital health technologies.

Mobile Applications to Support Multiple Sclerosis Communities: The Post-COVID-19 Scenario

Introduction: The increase in the use of mobile apps since the COVID-19 pandemic, even among people with multiple sclerosis (PwMS) and health care providers (HCPs), has enabled access to reliable information, symptoms monitoring and management, and social connections. The pandemic has undoubtedly contributed to the acceleration of the "digital revolution." But how far has it progressed for the MS communities? Methods: Italian Google Play and App Store were queried, selecting MS-specific apps in English or Italian language and usable by a wide public. Results: Fifty-four (n = 54) MS-specific apps were identified; most were PwMS-oriented (83%), free of charge (94%), and in English language (76%). The 45 PwMS-oriented apps focused on increasing MS knowledge (71%), tracking symptoms (33%), and promoting networking with peers or HCPs (38%). The 13 HCPs-oriented tools addressed education and updates on MS (62%), disease assessment and management (54%), and research (15%). Google Search tool was also queried to find non-MS-specific apps to fulfill some unmet domains (as sleep, pain, sexual or mental health). Twenty-four additional apps were listed to provide a valuable contribution. Conclusion: The "digital revolution" led to increasingly customized tools for PwMS, especially as m-health or social-networking apps. However, apps to support other specific MS-relevant domains, appealing HCPs-oriented apps, and specific mobile tools for MS caregivers are still lacking. The absence of data assessing the usability and quality of MS apps in ecologically contexts leads to not reliable conclusions about potential benefits. A strong dialogue between MS communities and the digital industry is encouraged to fill this gap.

Digital health intervention on patient safety for children and parents: A scoping review

AIM

To explore digital health interventions on patient safety for children and their parents.

DESIGN

A scoping review.

METHODS

The PCC 'Participants, Concepts, and Contexts' guided the selection of studies that focused on children under 19 years of age or their parents, patient safety interventions for children, and digital health technology for patient safety interventions. This study was conducted using the Arksey and O'Malley framework's five steps. We reported the review according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews Checklist.

DATA SOURCES

PubMed, CINAHL, Embase, Web of Science, and Cochrane were searched for articles published up to November 2022.

RESULTS

A total of 13 articles were included and categorized according to the following criteria to describe the results: intervention characteristics, type of digital technology, and outcome characteristics. Regarding intervention characteristics, we identified two categories, prevention and risk management. Additionally, we identified four types of digital technology, mobile applications, web-based technologies, computer kiosks and electronic health records. Finally, in studies focussing on child safety, parental safety behaviours were used to assess injury risk or detect changes related to prevention.

CONCLUSION

Patient safety interventions provided through appropriate digital technologies should be developed to enhance continuum of care for children from hospitalization to home after discharge.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Digital health interventions can bolster the role of healthcare providers in patient safety in and out of hospitals, thus improving children's safety and quality of care.

IMPACT

What problem did the study address? Although the various advantages of digital health technology have been demonstrated, the potential role of digital technology in patient safety interventions for children has not been explored. What were the main finding? Preventive patient safety interventions and risk management for children have been developed. Where and on whom will the research have an impact? Digital health interventions on patient safety can improve children's safety and quality of care by promoting non-face-to-face engagement of children and parents after discharge and expanding healthcare providers' roles.

TRIAL AND PROTOCOL REGISTRATION

Registered on the Open Science Framework (https://osf.io/dkvst).

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking

BACKGROUND

Early identification of quality of life (QoL) loss and side effects is a key challenge in breast cancer therapy. Digital tools can be helpful components of therapeutic support. Enable, a smartphone app, was used in a multicenter, prospective randomized controlled trial in 3 breast cancer centers. The app simultaneously serves as a therapy companion (eg, by displaying appointments), a tool for documenting QoL (eg, by enabling data collection for QoL questionnaires), and documentation of patient-reported side effects. The need for digital tools is continually rising. However, evidence of the effects of long-term use of mobile health (mHealth) apps in aftercare for patients with breast cancer is limited. Therefore, evaluating the usability and understanding the user experience of this mHealth app could potentially contribute valuable insights in this field.

OBJECTIVE

A usability study was conducted to explore how patients with breast cancer receiving neoadjuvant, adjuvant, or palliative outpatient treatment rated their engagement with the app , the user experience, and the benefits of using the app.

METHODS

A mixed methods approach was chosen to combine subjective and objective measures, including an eye-tracking procedure, a standardized usability questionnaire (mHealth App Usability Questionnaire), and semistructured interviews. Participants were surveyed twice during the study period. Interviews were transcribed verbatim and analyzed using thematic analysis. Analysis of the eye-tracking data was carried out using the tracker-integrated software. Descriptive analysis was conducted for the quantitative data.

RESULTS

The mHealth App Usability Questionnaire results (n=105) indicated good overall usability for 2 different time points (4 wk: mean 89.15, SD 9.65; 20 wk: mean 85.57, SD 12.88). The qualitative analysis of the eye-tracking recordings (n=10) and interviews (n=16) showed that users found the Enable app easy to use. The design of the app, information about therapies and side effects, and usefulness of the app as a therapy companion were rated positively. Additionally, participants contributed requests for additional app features and suggestions for improving the content and usability of the app. Relevant themes included optimization of the appointment feature, updating the app's content regularly, and self-administration. In contrast to the app's current passive method of operation, participants expressed a desire for more active engagement through messaging, alarms, or emails.

CONCLUSIONS

The results of this study demonstrate the good usability of the Enable app as well as the potential for further development. We concluded from patients' feedback and requests that mHealth apps could benefit from giving patients a more active role (eg, being able to actively document side effects as they occur). Additionally, regular updates of app content could further contribute to encouraging continued use of mHealth apps. Our findings may also assist other researchers in tailoring their mHealth apps to the actual needs of patients undergoing breast cancer therapy.

Assessing the Influence of Patient Empowerment Gained Through Mental Health Apps on Patient Trust in the Health Care Provider and Patient Compliance With the Recommended Treatment: Cross-sectional Study

BACKGROUND

In chronic mental illness, noncompliance with treatment significantly worsens the illness course and outcomes for patients. Considering that nearly 1 billion people worldwide experience mental health issues, including 1 of 5 Canadians in any given year, finding tools to lower noncompliance in these populations is critical for health care systems. A promising avenue is apps that make mental health services more accessible to patients. However, little is known regarding the impact of the empowerment gained from mental health apps on patient compliance with recommended treatment.

OBJECTIVE

This study aimed to investigate the impact of patient empowerment gained through mental health apps on patient trust in the health care provider and patient compliance with the recommended treatment.

METHODS

A cross-sectional web-based survey was conducted in Canada. Eligible participants were Canadian adults diagnosed with chronic mental health disorders who were using at least one of the following apps: Dialogue, MindBeacon, Deprexis, Ginger, Talkspace, BetterHelp, MindStrong, Mindshift, Bloom, Headspace, and Calm. A total of 347 valid questionnaires were collected and analyzed using partial least-squares structural equation modeling. Trust in the health care provider and patient compliance were measured with multiple-item scales adapted from existing scales. Patient empowerment was conceived and measured as a higher-order construct encompassing the following 2 dimensions: patient process and patient outcome. All the items contributing to the constructs in the model were measured with 7-point Likert scales. The reliability and validity of the measurement model were assessed, and the path coefficients of the structural model were estimated.

RESULTS

The results clearly show that patient empowerment gained through mental health apps positively influenced patient trust in the health care provider (β=.306; P<.001). Patient trust in the health care provider had a positive effect on patient compliance (β=.725; P<.001). The direct relationship between patient empowerment and patient compliance was not significant (β=.061, P=.23). Interestingly, the data highlight that the effect of patient empowerment on patient compliance was fully mediated by trust in the health care provider (β=.222; P<.001). The results show that patient empowerment gained through the mental health app involves 2 dimensions: a process and an outcome.

CONCLUSIONS

This study shows that for individuals living with mental health disorders, empowerment gained through mental health apps enhances trust in the health care provider. It reveals that patient empowerment impacts patient compliance but only through the full mediating effect of patient trust in the health care provider, indicating that patient trust is a critical variable to enhance patient compliance. Hence, our results confirm that health care systems could encourage the use of mental health apps to favor a climate that facilitates patients' trust in health care provider recommendations, possibly leading to better compliance with the recommended treatment.

Applications of digital health approaches for cardiometabolic diseases prevention and management in the Western Pacific region

Cardiometabolic diseases (CMDs) are the major types of non-communicable diseases, contributing to huge disease burdens in the Western Pacific region (WPR). The use of digital health (dHealth) technologies, such as wearable gadgets, mobile apps, and artificial intelligence (AI), facilitates interventions for CMDs prevention and treatment. Currently, most studies on dHealth and CMDs in WPR were conducted in a few high- and middle-income countries like Australia, China, Japan, the Republic of Korea, and New Zealand. Evidence indicated that dHealth services promoted early prevention by behavior interventions, and AI-based innovation brought automated diagnosis and clinical decision-support. dHealth brought facilitators for the doctor-patient interplay in the effectiveness, experience, and communication skills during healthcare services, with rapidly development during the pandemic of coronavirus disease 2019. In the future, the improvement of dHealth services in WPR needs to gain more policy support, enhance technology innovation and privacy protection, and perform cost-effectiveness research.

Positive views, attitudes, and acceptability toward mHealth applications in addressing queer sexual and reproductive health: Healthcare providers and the queer individuals

Objective

In the age of digital health, mankind has resources to write over the historical narrative of queer individuals' healthcare exclusions. The main purpose of this study was to explore the perspectives of both healthcare providers (HCPs) and queer individuals regarding the use of web-based tools and mobile health applications (mHealth apps) in the context of addressing queer individuals' sexual and reproductive health services and needs (SRHSN).

Methods

An overall study was conducted as an exploratory sequential mixed method. This article provides findings from the performed qualitative cycle. The selection method was led by purposeful sampling, which targeted 33 HCPs delivering SRHSN within the defined study settings. Additionally, respondent-driven sampling was employed to select 22 queer individuals. Throughout the study, semi-structured one-on-one face-to-face interviews were used to collect data.

Results

Four major themes and related sub-themes emerged from HCPs and queer individuals: (a) aid queer individuals with consultations and treatment improvements, (b) drawing parallels with technology in other sectors, (c) enhancing knowledge and education, and (d) positive perception of technological advancements.

Conclusions

In accordance with our findings, HCPs and queer individuals were all positive and sees mHealth apps as a tool to address SRHSN for homosexual people.

Acceptance of mobile application-based clinical guidelines among health professionals in Northwestern Ethiopia: A mixed-methods study

Background

Globally, healthcare providers have faced significant difficulties in adhering to clinical guidelines. Applying mobile health systems is a crucial strategy for enhancing the dissemination and accessibility of clinical guidelines. This study aimed to assess the acceptance of mobile app-based primary healthcare clinical guidelines and associated factors among health professionals in central Gondar health centers.

Methods

A cross-sectional study supplemented with qualitative data was conducted on 403 health workers. Data were collected using a pre-test structured printed questionnaire and entered into EpiData version 4.6. Analysis was conducted using Stata version 14, which included bivariable and multivariable logistic regression analyses. For qualitative data, thematic analysis was conducted using Open Code v.4.2.

Results

Approximately 28% (95% confidence interval (CI): 23%-32%) of health professionals had utilized mobile app-based clinical guidelines. The availability of IT support (adjusted odds ratio (AOR)  = 3.51, 95% CI: 1.82-6.78), good knowledge (AOR = 3.46, 95% CI: 1.5-6.78), perceived usefulness (AOR = 2.21, 95% CI: 1.00-4.99), m-Health app exposure (AOR = 2.34, 95% CI: 1.2-4.50), and ease of use (AOR = 5.77, 95% CI: 2.50-13.32) were significantly associated with the acceptance of the mobile app-based clinical guideline. In qualitative data, lack of training and supervision and access to smartphones were barriers to acceptance of the mobile app-based clinical guideline.

Conclusion

In summary, acceptance of the app is currently low. However, it can be increased by improving the availability of IT support in the workplace, offering training and supervision, and enhancing access to smartphones.

The impact of eHealth on relationships and trust in primary care: a review of reviews

BACKGROUND

Given the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships.

METHODS

A review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed.

RESULTS

A total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively.

CONCLUSIONS

Recommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers' and policymakers' decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.

A survey of the adoption and perception of mobile health applications among community pharmacists in Malaysia

OBJECTIVES

To determine the adoption and perception of mobile health (mHealth) applications among community pharmacists in Malaysia.

METHODS

A cross-sectional survey using a self-administered questionnaire was conducted with 300 community pharmacists in the Klang Valley, Malaysia using a stratified sampling approach. The questionnaire consisted of 36 questions with three sections: demographic data, adoption of mHealth applications and perception towards mHealth applications. Descriptive and inferential tests as well as exploratory factor analysis were used to analyse the data.

KEY FINDINGS

Adoption of mHealth applications by community pharmacists for both professional and personal use was relatively high at 79.7%. Utilised mHealth applications were primarily from the medical references category, while applications for patient monitoring, personal care and fitness were used to a lesser degree. Among mHealth application users, only 65.7% recommended them to their patients. Overall perception towards mHealth applications was positive, but perception towards the benefits and favour of mHealth applications for their patients was lower. This was corroborated by the factor analysis, which identified four main factors explaining 59.9% of variance in the dataset. These factors were perception towards use in their own professional practice, perception on benefits and use in their patients, perception on specific features of mHealth applications, and reliability of mHealth applications.

CONCLUSIONS

Adoption of mHealth applications among community pharmacists in Malaysia is high. Community pharmacists are more likely to use mHealth applications professionally and personally but less likely to recommend them to patients due to less favourable perceptions on how patients will benefit from mHealth applications.

Racial Disparities in Shared Decision-Making and the Use of mHealth Technology Among Adults With Hypertension in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study in the United States

BACKGROUND

Mobile health (mHealth) technology has the potential to support shared decision-making (SDM) and improve hypertension control. However, our understanding of the variations in individuals' involvement in SDM and mHealth usage across different racial and ethnic groups in the United States is still limited.

OBJECTIVE

This study aimed to investigate the extent of involvement in SDM and the usage of mHealth technology in health-related activities among US adults with hypertension from diverse racial and ethnic backgrounds and to examine whether the mHealth usage differed by individuals' level of engagement in SDM.

METHODS

This study used cross-sectional data from the 2017 to 2020 Health Information National Trends Survey, which was conducted on US adults with self-reported hypertension, and race and ethnicity data were included. The exposure of interest was race and ethnicity. The outcomes were SDM and mHealth usage. SDM was assessed using an item: "In the past 12 months, how often did your health professional: involve you in decisions about your healthcare as much as you wanted?" mHealth usage was defined as using a smartphone or tablet to engage in (1) making health decisions, (2) discussing health decisions with health providers, (3) tracking health progress, and (4) sharing health information. Weighted multivariable logistic regression models were used to examine the association between race and ethnicity and SDM or mHealth usage adjusted for covariates and stratified by the level of engagement in SDM.

RESULTS

This study included 4893 adults with hypertension, and the mean age was 61 (SD 13) years. The sample was 53% female, 61% (n=3006) non-Hispanic White, 19% (n=907) non-Hispanic Black or African American, 12% (n=605) Hispanic, 4% (n=193) non-Hispanic Asian, and 4% (n=182) non-Hispanic other. Compared to the non-Hispanic White adults, non-Hispanic Black adults were more likely to use mHealth to make health decisions (adjusted odds ratio [aOR] 1.70, 95% CI 1.23-2.34), share health information (aOR 1.46, 95% CI 1.02-2.08), and discuss health decisions with health providers (aOR 1.38, 95% CI 1.02-1.87). Significant associations were observed specifically among those who were always involved in SDM. Asian adults were less likely to be involved in SDM (aOR 0.51, 95% CI 0.26-0.99) and were more likely to use mHealth to track progress on a health-related goal (aOR 2.07, 95% CI 1.28-3.34) than non-Hispanic White adults. Hispanic adults were less likely to use mHealth to share health information (aOR 0.47, 95% CI 0.33-0.67) and discuss health decisions with health providers (aOR 0.65, 95% CI 0.46-0.94) compared to non-Hispanic White adults.

CONCLUSIONS

This study observed racial and ethnic disparities in SDM and mHealth usage among US adults with hypertension. These findings emphasize the significance of comprehending the involvement of SDM and the usage of mHealth technology within racially and ethnically diverse populations.

Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation

Background

Mobile apps offer a potential mechanism for people with persistent pain to monitor pain levels conveniently within their own environment and for clinicians to remotely monitor their patients' pain. However, the quality of currently available apps and the usefulness of included features from a clinical perspective are not known.

Objective

The aim of this study was to examine the content and quality of currently available smartphone apps designed for monitoring the intensity or presence of musculoskeletal or neuropathic pain.

Methods

A systematic search was performed in the Australian Apple and Google Play stores. Apps were included if they were designed to monitor the intensity or presence of musculoskeletal or neuropathic pain and were available in the English language within the Australian app stores. Data pertaining to the intended use of the app and clinical population were extracted by using a custom-designed data extraction form, and app quality was assessed by using the 23-item Mobile App Rating Scale.

Results

Of the 2190 apps screened, 49 met the inclusion criteria. Apps were primarily designed for adult users (36/49, 73%) with nonspecific musculoskeletal or neuropathic pain conditions, arthritis, and joint pain. All apps monitored pain intensity, with almost half (23/49, 47%) also specifying pain location. Overall, the mean quality scores from the Mobile App Rating Scale ranged from 1.5 to 4.4 (out of 5.0). Between 20% (10/49) and 22% (11/49) of apps involved clinicians, consumers, or both in their development, and 20% (10/49) had published literature related to the development or use of the app in clinical scenarios. Although 71% (35/49) had data sharing features, only 5 apps enabled client-clinician communication through the app.

Conclusions

The overall quality of mobile apps that are currently available for monitoring pain intensity is acceptable. Presently, mobile apps for remote pain monitoring lack functionality for clinicians to view data between consults. Both users and clinicians should be aware of the limitations of these apps and make informed choices in using or recommending apps that best suit the clinical need.

"It reminds me and motivates me": Human-centered design and implementation of an interactive, SMS-based digital intervention to improve early retention on antiretroviral therapy: Usability and acceptability among new initiates in a high-volume, public clinic in Malawi

BACKGROUND

Early retention of people living with HIV (PLHIV) in antiretroviral therapy (ART) programs is critical to improve individual clinical outcomes and viral load suppression. Although many mobile health (mHealth) interventions aim to improve retention in care, there is still lack of evidence on mHealth success or failure, including from patient's perspectives. We describe the human-centered design (HCD) process and assess patient usability and acceptability of a two-way texting (2wT) intervention to improve early retention among new ART initiates at Lighthouse Trust clinic in Lilongwe, Malawi.

METHODS

An iterative HCD approach focused on patient and provider users' needs, incorporating feedback from multidisciplinary teams to adapt 2wT for the local, public clinic context. We present mixed-methods usability and acceptability results from 100 participants, 50 at 3-months and 50 at 6-months, post 2wT enrollment, and observations of these same patients completing core tasks of the 2wT system.

RESULTS

Among the 100 usability respondents, 95% were satisfied with visit reminders, and 88% would recommend reminders and motivational messages to friends; however, 17% were worried about confidentiality. In observation of participant task completion, 94% were able to successfully confirm visit attendance and 73% could request appointment date change. More participants in 4-6 months group completed tasks correctly compared to 1-3 months group, although not significantly different (78% vs. 66%, p = 0.181). Qualitative results were overwhelmingly positive, but patients did note confusion with transfer reporting and concern that 2wT would not reach patients without mobile phones or with lower literacy.

CONCLUSION

The 2wT app for early ART retention appears highly usable and acceptable, hopefully creating a solid foundation for lifelong engagement in care. The HCD approach put the local team central in this process, ensuring that both patients' and Lighthouse's priorities, policies, and practices were forefront in 2wT optimization, raising the likelihood of 2wT success in other routine program contexts.

Healthcare provider experiences of deploying a continuous remote patient monitoring pilot program during the COVID-19 pandemic: a structured qualitative analysis

Objective

To describe the healthcare provider (HCP) experience of launching a COVID-19 remote patient monitoring (CRPM) program during the global COVID-19 pandemic.

Methods

We conducted qualitative, semi-structured interviews with eight HCPs involved in deploying the CRPM pilot program in the Military Health System (MHS) from June to December 2020. Interviews were audio recorded, transcribed, and analyzed thematically using an inductive approach. We then deductively mapped themes from interviews to the updated Consolidated Framework for Implementation Research (CFIR).

Results

We identified the following main themes mapped to CFIR domains listed in parentheses: external and internal environments (outer and inner settings), processes around implementation (implementation process domain), the right people (individuals domain), and program characteristics (innovation domain). Participants believed that buy-in from leadership and HCPs was critical for successful program implementation. HCP participants showed qualities of clinical champions and believed in the CRPM program.

Conclusion

The MHS deployed a successful remote patient monitoring pilot program during the global COVID-19 pandemic. HCPs found the CRPM program and the technology enabling the program to be acceptable, feasible, and usable. HCP participants exhibited characteristics of clinical champions. Leadership engagement was the most often-cited key factor for successful program implementation.

A Smart Digital Health Platform to Enable Monitoring of Quality of Life and Frailty in Older Patients with Cancer: A Mixed-Methods, Feasibility Study Protocol

OBJECTIVES

LifeChamps is an EU Horizon 2020 project that aims to create a digital platform to enable monitoring of health-related quality of life and frailty in patients with cancer over the age of 65. Our primary objective is to assess feasibility, usability, acceptability, fidelity, adherence, and safety parameters when implementing LifeChamps in routine cancer care. Secondary objectives involve evaluating preliminary signals of efficacy and cost-effectiveness indicators.

DATA SOURCES

This will be a mixed-methods exploratory project, involving four study sites in Greece, Spain, Sweden, and the United Kingdom. The quantitative component of LifeChamps (single-group, pre-post feasibility study) will integrate digital technologies, home-based motion sensors, self-administered questionnaires, and the electronic health record to (1) enable multimodal, real-world data collection, (2) provide patients with a coaching mobile app interface, and (3) equip healthcare professionals with an interactive, patient-monitoring dashboard. The qualitative component will determine end-user usability and acceptability via end-of-study surveys and interviews.

CONCLUSION

The first patient was enrolled in the study in January 2023. Recruitment will be ongoing until the project finishes before the end of 2023.

IMPLICATIONS FOR NURSING PRACTICE

LifeChamps provides a comprehensive digital health platform to enable continuous monitoring of frailty indicators and health-related quality of life determinants in geriatric cancer care. Real-world data collection will generate "big data" sets to enable development of predictive algorithms to enable patient risk classification, identification of patients in need for a comprehensive geriatric assessment, and subsequently personalized care.

"Giving the patients less work": A thematic analysis of telehealth use and recommendations to improve usability for autistic adults

LAY ABSTRACT

Real-time telehealth visits, called "virtual visits," are live video chats between patients and healthcare professionals. There are lots of steps involved in setting up a virtual visit, which may be difficult for some autistic adults. We interviewed 7 autistic adults, 12 family members of autistic adults, and 6 clinic staff from one clinic in the United States. Our goal was to understand their experiences with virtual visits and see how we can make virtual visits easier to use. We re-read text from the interviews to organize experiences and advice that was shared into topics. We found that autistic adults (or their family members) had to connect with clinic staff many times by phone or online over several days to set up a virtual visit. Participants said that having more experience with technology and using the online patient portal made virtual visits easier to use. But, having issues with technology before the visit could make autistic adults and family members anxious. Clinic staff said it was hard for them to meet the needs of people who were using virtual visits and those who were being seen in person at the clinic. Participants recommended reducing the number of calls between staff and autistic adults or family members using the online patient portal instead. Participants also recommended reminder messages, instruction videos, and approximate wait-times to help autistic adults and family members know what to expect for the virtual visit. Our results are based on peoples' experiences at one clinic, but could help other clinics make virtual visits easier to use for autistic adults and their family members.

A GDPR-Compliant Dynamic Consent Mobile Application for the Australasian Type-1 Diabetes Data Network

Australia has a high prevalence of diabetes, with approximately 1.2 million Australians diagnosed with the disease. In 2012, the Australasian Diabetes Data Network (ADDN) was established with funding from the Juvenile Diabetes Research Foundation (JDRF). ADDN is a national diabetes registry which captures longitudinal information about patients with type-1 diabetes (T1D). Currently, the ADDN data are directly contributed from 42 paediatric and 17 adult diabetes centres across Australia and New Zealand, i.e., where the data are pre-existing in hospital systems and not manually entered into ADDN. The historical data in ADDN have been de-identified, and patients are initially afforded the opportunity to opt-out of being involved in the registry; however, moving forward, there is an increased demand from the clinical research community to utilise fully identifying data. This raises additional demands on the registry in terms of security, privacy, and the nature of patient consent. General Data Protection Regulation (GDPR) is an increasingly important mechanism allowing individuals to have the right to know about their health data and what those data are being used for. This paper presents a mobile application being designed to support the ADDN data collection and usage processes and aligning them with GDPR. The app utilises Dynamic Consent-an informed specific consent model, which allows participants to view and modify their research-driven consent decisions through an interactive interface. It focuses specifically on supporting dynamic opt-in consent to both the registry and to associated sub-projects requesting access to and use of the patient data for research purposes.

Exploring the Needs and Expectations of Expectant and New Parents for an mHealth Application to Support the First 1000 Days of Life: Steps toward a Co-Design Approach

To improve maternal and child health, it is essential to adhere to health-promoting and preventive measures. However, reliable information as well as effective tools are not easy to identify in this field. Our cross-sectional study investigated the needs and expectations of expectant and new mothers and fathers as potential primary users of a hypothetical application supporting the first 1000 days of life. Between May and August 2022, we recruited expectant and new parents by administering an 83-item 5-point Likert scale questionnaire related to the content, functionalities, and technical features of the hypothetical app. We stratified responses using sociodemographic characteristics and then performed ward hierarchical clustering. The 94 women and 69 men involved in our study generally agreed with the proposed content, but expressed low interest in certain app functionalities or features, including those related to the interaction mechanism and interactivity. Women were generally more demanding than men. Our findings, resulting from the engagement of end-users, may be useful for designers and technology providers to implement mHealth solutions that, in addition to conveying reliable information, are tailored to the needs and preferences of end-users in the first 1000 days of life.

MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application

Background

Diet monitoring has been linked with improved eating habits and positive health outcomes such as prevention of obesity. However, this is often unsustainable as traditional methods place a high burden on both participants and researchers through pen and paper recordings and manual nutrient coding respectively. The digitisation of dietary monitoring has greatly reduced these barriers. This paper proposes a diet application with a novel food recognition feature with a usability study conducted in the real world.

Methods

This study describes the development of a mobile diet application (MyDietCam) targeted at healthy Malaysian adults. Focus group discussions (FGD) were carried out among dietitians and potential users to determine ideal features in a diet application. Thirty participants were recruited from a local university to log their meals through MyDietCam for six days and submit the Malay mHealth Application Usability Questionnaire (M-MAUQ) at the end of the study.

Results

The findings from the FGD led to the implementation of the main features: individualised recommendations, food logging through food recognition to reduce steps for data entry and provide detailed nutrient analyses through visuals. An average overall usability score of 5.13 out of a maximum of seven was reported from the M-MAUQ which is considered acceptable.

Conclusion

The development of a local (Malaysian) mobile diet application with acceptable usability may be helpful in sustaining the diet monitoring habit to improve health outcomes. Future work should focus on improving the issues raised before testing the effectiveness of the application for improving health outcomes.

Quality assessment of pre- and postnatal nutrition and exercise mobile applications in the United States and China

Background

Mobile applications (apps) are becoming increasingly prevalent as tools for improving maternal health behaviors. However, the recently updated content and quality of these apps remain unknown. This research investigated the fundamental characteristics, functional modules, and overall quality of maternal apps available in the United States and China to reveal critical nutrition and physical activity gaps.

Methods

A systematic search was performed in Android and iOS app stores (China and the United States). Apps were eligible if they targeted pregnant or postpartum women, focused on nutrition or physical activity, and had interfaces in English or Chinese. The basic characteristics, functional modules, and overall quality of the apps were evaluated, and differences between apps available in China or the United States were determined using analysis of variance and chi-square tests. Pearson correlations were utilized to investigate links between objective quality and user rating.

Results

A total of 65 maternity-related nutrition and physical activity apps (34 from China and 31 from the United States) were eligible. Among them, 68% (21/31) of US apps and 56% (19/34) of Chinese apps did not provide supporting evidence for their content. A greater number of Chinese apps provided app-based general education modules, namely food nutrition knowledge (n = 0, 0% in the United States vs. n = 30, 88.2% in China). Meanwhile, a greater number of US apps provided exercise modules, namely pregnancy yoga (n = 21, 67.7% in the United States vs. n = 2, 5.9% in China). The overall app quality rating in the United States was lower than it was in China (mean: 3.5, SD: 0.6 in China vs. mean: 3.4, SD: 0.7 in the United States). There was no relationship between the overall app quality rating and the user rating in either country (rho = 0.11 in China and rho = -0.13 in the United States).

Conclusion

The characteristics and functional modules of in-store apps for maternal nutrition and physical activity differed between the United States and China. Both countries' apps, especially Chinese apps, lacked evidence-based information, and there was no correlation between app quality and user rating. The results therefore suggest that user ratings cannot be used as an objective indicator of app quality and that it is necessary to improve the empirical basis and credibility of apps in both countries.

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

Introduction

Depression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions.

Methods

Regression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications.

Results and discussion

Outputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables.

A framework for design and usability testing of telerehabilitation system for adults with chronic diseases: A panoramic scoping review

Objective

This scoping review aimed to identify the design and usability testing of a telerehabilitation (TR) system, and its characteristics and functionalities that are best-suited for rehabilitating adults with chronic diseases.

Methods

Searches were conducted in PubMed, EBSCO, Web of Science, and Cochrane library for studies published between January 2017 and December 2022. We followed the Joanna Briggs Institute guidelines and the framework by Arksey and O'Malley. Screening was undertaken by two reviewers, and data extraction was undertaken by the first author. Then, the data were further reviewed and discussed thoroughly with the team members.

Results

A total of 31 results were identified, with the core criteria of developing and testing a telerehabilitation system, including a mobile app for cardiovascular diseases, cancer, diabetes, and chronic respiratory disorders. All developed systems resulted from multidisciplinary teams and employed mixed-methods research. We proposed the "input-process-output" framework that identified phases of both system design and usability testing. Through system design, we reported the use of user-centered design, iterative design, users' needs and characteristics, theory underpinning development, and the expert panel in 64%, 75%, 86%, 82%, and 71% of the studies, respectively. We recorded the application of moderated usability testing, unmoderated testing (1), and unmoderated testing (2) in 74%, 63%, and 15% of the studies, respectively. The identified design and testing activities produced a matured system, a high-fidelity prototype, and a released system in 81.5%, 15%, and 3.5%, respectively.

Conclusion

This review provides a framework for TR system design and testing for a wide range of chronic diseases that require prolonged management through remote monitoring using a mobile app. The identified "input-process-output" framework highlights the inputs, design, development, and improvement as components of the system design. It also identifies the "moderated-unmoderated" model for conducting usability testing. This review illustrates characteristics and functionalities of the TR systems and healthcare professional roles.

Effectiveness of dietary interventions delivered by digital health to adults with chronic conditions: Systematic review and meta-analysis

BACKGROUND

Digital health interventions may facilitate management of chronic conditions; however, no reviews have systematically assessed the effectiveness of dietary interventions delivered by digital health platforms for improving dietary intake and clinical outcomes for adults with diet-related chronic conditions.

METHODS

Databases CINAHL, CENTRAL, Embase and MEDLINE were searched from inception to April 2021 to identify controlled trials for dietary education delivered by digital health (mobile or electronic health) to adults with diet-related chronic conditions. Random effects analysis was performed for diet quality, food groups, nutrients and clinical outcomes. Screening, data extraction and quality checking were completed in duplicate.

RESULTS

Thirty-nine studies were included involving 7333 participants. Significant changes were found for Mediterranean diet adherence score (standardised mean difference [SMD] = 0.79; 95% confidence interval [CI] = 0.18 to 1.40), overall fruit and vegetable intake (mean difference [MD]: 0.63 serves/day; 95% CI = 0.27-0.98), fruit intake alone (MD = 0.58 serves/day; 95% CI = 0.39 to 0.77) and sodium intake (SMD = -0.22; 95% CI = -0.44 to -0.01). Improvements were also found for waist circumference [MD = -2.24 centimetres; 95% CI = -4.14 to -0.33], body weight (MD = -1.94 kg; 95% CI = -2.63 to -1.24) and haemoglobin A1c (MD = -0.17%; 95% CI = -0.29 to -0.04). Validity of digital assessment tools to measure dietary intake were not reported. The quality of evidence was considered to have low to moderate certainty.

CONCLUSIONS

Modest improvements in diet and clinical outcomes may result from intervention via digital health for those with diet-related chronic conditions. However, additional robust trials with better reporting of digital dietary assessment tools are needed to support implementation within clinical practice.

Midwifery Continuity of Care in Indonesia: Initiation of Mobile Health Development Integrating Midwives' Competency and Service Needs

Midwives' competence in providing continuity of care using mobile health (mHealth) applications is limited in developing countries. This study identified and explored midwives' competency and service needs to develop mHealth in Midwifery Continuity of Care (MCOC) education and training. It used an explanatory sequential mixed method, and was conducted from August to December 2021. A cross-sectional approach was used to find the characteristics and competency scope of 373 midwives in West Java, and continued with a qualitative design through a Focus Group Discussion (FGD) of 13 midwives. Descriptive data analysis (frequency, mean, deviation standard) and qualitative data analysis (coding, sub-themes, and theme) were conducted. In terms of the midwives who participated in this study, more than half were aged ≤ 35 years (58.98%), with a working period > 10 years (56.30%), had diploma degrees (71.12%), and used smartphones on average 1-12 h/day (78.28%). Most midwives needed to develop competency in the MCOC scope, including its early detection of the risk factor of complications and treatment management. They were concerned about the purposes, benefits, and design of mHealth. In summary, midwives' competency indicators for early detection are more needed in MCOC using mHealth. Further research is required to evaluate midwives' competence in MCOC using mHealth.

Associations between visceral adipose tissue estimates produced by near-infrared spectroscopy, mobile anthropometrics, and traditional body composition assessments and estimates derived from dual-energy X-ray absorptiometry

Assessments of visceral adipose tissue (VAT) are critical in preventing metabolic disorders; however, there are limited measurement methods that are accurate and accessible for VAT. The purpose of this cross-sectional study was to evaluate the association between VAT estimates from consumer-grade devices and traditional anthropometrics and VAT and subcutaneous adipose tissue (SAT) from dual-energy X-ray absorptiometry (DXA). Data were collected from 182 participants (female = 114; White = 127; Black/African-American (BAA) = 48) which included anthropometrics and indices of VAT produced by near-infrared reactance spectroscopy (NIRS), visual body composition (VBC) and multifrequency BIA (MFBIA). VAT and SAT were collected using DXA. Bivariate and partial correlations were calculated between DXAVAT and DXASAT and other VAT estimates. All VAT indices had positive moderate–strong correlations with VAT (all P < 0·001) and SAT (all P < 0·001). Only waist:hip (r = 0·69), VATVBC (r = 0·84), and VATMFBIA (r = 0·86) had stronger associations with VAT than SAT (P < 0·001). Partial associations between VATVBC and VATMFBIA were only stronger for VAT than SAT in White participants (r = 0·67, P < 0·001) but not female, male, or BAA participants individually. Partial correlations for waist:hip were stronger for VAT than SAT, but only for male (r = 0·40, P < 0·010) or White participants (r = 0·48, P < 0·001). NIRS was amongst the weakest predictors of VAT which was highest in male participants (r = 0·39, P < 0·010) but non-existent in BAA participants (r = –0·02, P > 0·050) after adjusting for SAT. Both anthropometric and consumer-grade VAT indices are consistently better predictors of SAT than VAT. These data highlight the need for a standardised, but convenient, VAT estimation protocol that can account for the relationship between SAT and VAT that differs by sex/race.

A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities

Due to the development of sensing technology people can easily track their health in various ways, and the interest in personal healthcare data is increasing. Individuals are interested in controlling their wellness, which requires self-awareness and an understanding of various health conditions. Self-generated health data are easily accessed through mobile devices, and data visualization is commonly used in applications. A systematic literature review was conducted to better understand the role of visualizations and learn how to develop effective ones. Thirteen papers were analyzed for types of data, characteristics of visualizations, and effectiveness for healthcare management. The papers were selected because they represented research on personal health data and visualization in a non-clinical setting, and included health data tracked in everyday life. This paper suggests six levels for categorizing the efficacy of visualizations that take into account cognitive and physical changes in users. Recommendations for future work on conducting evaluations are also identified. This work provides a foundation for personal healthcare data as more applications are developed for mobile and wearable devices.

Development and validation of the Turkish version of the Mobile App Rating Scale - MARS-TR

BACKGROUND

The number of mobile health apps (MHAs) is growing rapidly. MHAs have great potential to improve health and health care. However, the quality of available MHAs remains unknown due to the lack of quality assessment regulations and standards for MHAs. The Mobile Application Rating Scale (MARS) is the most widely used instrument to assess the quality of MHAs, and available in English, Italian, Spanish, German, French, Arabic and Japanese. However, the scale is currently not available in the Turkish language.

OBJECTIVE

This study aimed to cross-culturally adapt the MARS into Turkish and evaluate the validity and reliability of the scale.

METHODS

The MARS was translated and adapted into Turkish according to the international guidelines. A total of 52 pregnancy tracking apps were evaluated by two independent raters. Internal consistency (Cronbach's alpha), inter-rater reliability (Intraclass Correlation Coefficient [ICC]), convergent validity and concurrent validity were explored. Regarding convergent validity, MARS-TR scores were compared with the ENLIGHT scale.

RESULTS

The MARS-TR was highly aligned with the original MARS. The MARS-TR showed excellent internal consistency (Cronbach's alpha of 0.95 for both raters) and excellent inter-rater reliability (ICC = 0.94; SEM = 0.02), with a smallest detectable change (95 % confidence level) of 0.05 points for the total score. Cronbach's alphas for the subscales ranged from 0.76 to 0.94 for the two raters. Correlations between the MARS-TR and ENLIGHT demonstrated adequate convergent validity (P < 0.05). No ceiling or floor effects were observed.

CONCLUSION

The results provide evidence that the Turkish version of MARS is a valid and reliable tool for researchers and experts to assess the quality of MHAs in Turkey.

Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review

BACKGROUND

Telerehabilitation (TR) interventions are receiving increasing attention. They have been evaluated in various scientific areas through systematic reviews. However, there is a lack of data on how to standardize assessment and report on their domains to guide researchers across studies and bring together the best evidence to assess TR for chronic diseases.

AIMS AND OBJECTIVES

The aim of this study was to identify domains of assessment in TR and to qualitatively and quantitatively analyze how and when they are examined to gain an overview of assessment in chronic disease.

METHODS

A scoping meta-review was carried out on 9 databases and gray literature from 2009 to 2019. The keyword search strategy was based on "telerehabilitation", "evaluation", "chronic disease" and their synonyms. All articles were subjected to qualitative analysis using the Health Technology Assessment (HTA) Core Model prior to further analysis and narrative synthesis.

RESULTS

Among the 7412 identified articles, 80 studies met the inclusion criteria and addressed at least one of the noncommunicable diseases (NCD) categories of cardiovascular disease (cardiovascular accidents), cancer, chronic respiratory disease, diabetes, and obesity. Regarding the domains of assessment, the most frequently occurring were "social aspect" (n = 63, 79%) (e.g., effects on behavioral changes) and "clinical efficacy" (n = 53, 66%), and the least frequently occurring was "safety aspects" (n = 2, 3%). We also identified the phases of TR in which the assessment was conducted and found that it most commonly occurred in the pilot study and randomized trial phases and least commonly occurred in the design, pretest, and post-implementation phases.

CONCLUSIONS

Through the HTA model, this scoping meta-review highlighted 10 assessment domains which have not been studied with the same degree of interest in the recent literature. We showed that each of these assessment domains could appear at different phases of TR development and proposed a new cross-disciplinary and comprehensive method for assessing TR interventions. Future studies will benefit from approaches that leverage the best evidence regarding the assessment of TR, and it will be interesting to extend this assessment framework to other chronic diseases.