Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment

A choice based conjoint analysis of mobile healthcare application preferences among physicians, patients, and individuals

The rapid proliferation of healthcare service applications (apps) makes it challenging for consumers to determine the best one for their needs, prompting the Korean government to introduce an accreditation program to verify app safety. This study aims to identify the factors influencing the choice of healthcare service apps among physicians, patients with chronic diseases, and healthy individuals. We conducted a choice-based conjoint analysis with six factors (number of studies on effectiveness, frequency of information delivery, cybersecurity and data safety, user satisfaction, accreditation, and costs). 1,093 participants (407 healthy individuals, 589 patients, and 97 physicians) participated in the online survey. Across all groups, cybersecurity and data safety were the most important preference factors (healthy individuals: β = 2.127, 95% CI 2.096-2.338, patients: β = 1.569, 95% CI 1.481-1.658, physicians: β = 1.111, 95% CI 0.908-1.314). All groups were willing to pay more approximately $12 for high cybersecurity and data safety compared to low.

Understanding patient priorities in teledermatology for psoriasis: A discrete choice experiment

BACKGROUND/OBJECTIVE

Despite supporting guidelines and evidence, teledermatology adoption in Germany is low, also possibly due to a lack of services that reflect patients' preferences. This study investigates these preferences in psoriasis care and the influence of sociodemographic, geographic and disease-related factors.

METHODS

A discrete choice experiment was conducted. The attributes included the two teledermatology modes (live-interactive, store-and-forward), treating physician, possibility to ask questions and acknowledgment of concerns. The opportunity to prefer the standard of care was given. Participants were randomly assigned to two scenarios: consultation for acute flare-ups or follow-up. Conditional logit models were used for analysis.

RESULTS

Among 221 patients with psoriasis (mean age: 58.9 years, 39.8% female), a general preference for the standard of care was observed (acute: β = -0.86, p = 0.001; follow-up: β = -1.24, p = 0.001). Factors that positively influenced preference for teledermatology were medical care provided by the known physician (acute: β = 0.49, p < 0.001; follow-up: β = 0.51, p < 0.001), the possibility to ask questions (acute: β = 0.35, p < 0.001; follow-up: β = 0.52, p < 0.001) and a very good acknowledgment of patients' concerns (acute: β = 0.48, p < 0.001; follow-up: β = 0.50, p < 0.001). Immediate feedback (<24 h) was crucial in acute consultations (β = 0.51, p < 0.001). No preference for a teledermatology mode was noted in either scenario. In both scenarios, lower privacy concerns and higher technology acceptance positively influenced teledermatology preference. In acute care, current long waiting times, whereas in follow-up care, current regular blood sampling positively influenced the preference for teledermatology.

CONCLUSION

Patients with psoriasis generally preferred standard-of-care over teledermatology. However, certain attributes positively influenced their preference for teledermatology, including consultations with their known treating physician, acknowledgment of patient concerns and prompt consultation during acute flare-ups. Adapting services to these preferences could increase the use of teledermatology.

Multi Perspective Considerations for Health Smart Home: Early Phase Exploratory Study

AIMS

This study engaged key stakeholders-older adults, family caregivers, home care support workers, nurses, and home healthcare leaders-to explore perspectives on essential components and integration into home care models, and to explore the role of their technology readiness for health smart homes adoption.

DESIGN

A qualitative methodology with a quantitative component, early-phase exploratory design.

METHODS

Semi-structured interviews underwent qualitative thematic analysis, with cross-case analysis comparing stakeholder perspectives to identify convergences and divergences. Descriptive statistics were used to analyse Technology Readiness Index (TRI 2.0) survey data to provide background and context to the qualitative findings.

RESULTS

Among 18 participants-older adults (n = 6), family caregivers (n = 2), nurses (n = 7), and support workers/healthcare leaders (n = 3)-findings reflected optimism for health smart home adoption and its potential to support ageing in place. Nurses and care workers saw health smart home as a tool for improving care coordination and quality of life. Key adoption considerations included education, data visualisation, privacy, and security. Technology readiness scores were moderate, with nurses scoring highest (3.52), followed by caregivers (3.41), support workers (3.13), and older adults (3.10).

CONCLUSION

While stakeholders were open to integrating health smart home into home care, concerns around usability, security, and training must be addressed to facilitate adoption.

IMPLICATIONS FOR THE PROFESSION

Findings suggest that while health smart home technology holds promise for enhancing ageing in place, varying levels of technology readiness across stakeholders highlight the need for tailored education and support strategies to ensure successful implementation.

PROBLEM ADDRESSED

Despite a strong preference for ageing in place among older adults, integrating health smart home technologies into home care remains challenging. Key issues include ensuring intuitive functionality, protecting privacy, and clarifying the roles of caregivers and healthcare professionals in a technology-enhanced care model. This study addresses the critical gap in understanding how health smart home solutions can be effectively tailored to support the diverse needs of older adults, family caregivers, and home care nurses and support workers.

MAIN FINDINGS

Stakeholders were generally optimistic about health smart home technologies supporting ageing in place and improving quality of life. Nurses and support workers highlighted the need for tailored data visualisations, alert parameters, and clear role guidelines. A novel finding was that older adults and family caregivers viewed health smart home as a way to reduce intrusive monitoring, promote independence, and maintain a familiar living environment. Family caregivers valued the ability to stay involved remotely through activity data, offering reassurance and peace of mind. Across all groups, privacy safeguards were seen as essential, with strong concerns about data security, transparent usage policies, and user control over data sharing.

IMPACT

Findings have implications for community-dwelling older adults, family caregivers, home care professionals, researchers, and technology developers. Insights from this study can inform the design of user-friendly health smart home technologies, shape future research, and guide tailored implementation strategies in home care settings.

PATIENT OR PUBLIC CONTRIBUTION

An advisory group of community-dwelling older adults in Western Australia provided input on study design and methodology. Their recommendations led to the use of one-on-one interviews to ensure accessibility and relevance for older adults when exploring technology readiness and smart home integration. While the advisory group did not contribute to the data itself or its analysis, their feedback shaped the method of engagement to ensure its relevance and accessibility to potential participants.

Nurses' perspectives on using mobile health applications in southeastern Iran: Awareness, attitude, and obstacles

INTRODUCTION

Nurses and patients can now ensure access to qualified healthcare using the new opportunities of mobile health (mHealth) applications (or apps). To use its potential effectively, understanding nurses' use of this technology is crucial. Here, we examined the awareness, attitudes, and obstacles to using mHealth apps among nurses.

METHODS

We applied a descriptive-analytical cross-sectional study from 08/04/2023 to 05/10/2023. Cochran's formula estimated the sample size of 267 nurses. The researchers used a researcher-made questionnaire for data collection. We used descriptive (mean, standard deviation, frequency, and percentage) and analytical (Pearson and Spearman correlation) statistics for data analysis.

RESULTS

Most nurses use a smartphone (86%), have an Android operating system installed (82%), and believe that mHealth is useful for nursing (85%), but do not use it for patient care (70.8%). The mean score for awareness, attitude, and obstacles regarding mHealth were 3.74 ±  0.657, 3.49 ±  0.513, and 3.50 ±  0.597 respectively. There was a significant positive correlation between the nurses' awareness and attitude (r = 0. 289, P < 0.05) and nurses' awareness and obstacles to using mHealth (r = 0. 171, P < 0.05), but a significant negative correlation between nurses' attitude and obstacles (r = -0. 031, P < 0.05).

CONCLUSION

Despite nurses' relatively favorable awareness and positive attitude towards the use of mHealth apps, most of them use these technologies for purposes other than patient care. Nurses considered patients' lack of digital health literacy (DHL) and reluctance to use these technologies as the main obstacles to using mHealth apps. Improving the DHL of users (nurses and especially patients) and providing them with free access to mHealth apps is essential. Ensuring security and making the applications easy to use, as well as educating users, are also important factors. Furthermore, promoting nurses' understanding of the benefits of mHealth and increasing their willingness to use these technologies is crucial.

A systematic review of consumers' and healthcare professionals' trust in digital healthcare

Despite the well-documented importance of trust in digital healthcare, its domains are not well-understood, preventing theoretically robust instruments for standardised measurements. We identified instruments measuring trust in digital healthcare, explored definitions, associated factors, and outcomes. We systematically reviewed the literature using tailored searches and 49 studies measuring trust in digital healthcare from either consumers', healthcare professionals', or both perspectives were included. Trust in digital healthcare is complex and, from a consumers' perspective, can influence digital healthcare use, adoption, acceptance, and usefulness. Consumers' trust can be affected by the degree of human interaction in automated interventions, perceived risks, privacy concerns, data accuracy, digital literacy, quality of the digital healthcare intervention, satisfaction, education, and income. Healthcare professionals' trust is enhanced by education and observing good digital health performance. While studies can benefit from rigorous trust measurements, future efforts should address the need for a theoretical framework for trust in digital healthcare.

Health Professionals' Preferences for Next-Generation Sequencing in the Diagnosis of Suspected Genetic Disorders in the Paediatric Population

Background/Objectives: Next-generation sequencing (NGS) can explain how genetics influence morbidity and mortality in children. However, it is unclear whether health providers will perceive and use such treatments. We conducted a discrete choice experiment (DCE) to understand Italian health professionals' preferences for NGS to improve the diagnosis of paediatric genetic diseases. Methods: The DCE was administered online to 125 health professionals in Italy. We documented attributes influencing professionals' decisions of NGS, including higher diagnostic yield, shorter counselling periods, cost, turnaround time, and the identification of fewer variants of unknown significance. Results: Results show that factors such as higher diagnostic yield, shorter counselling periods, lower costs, and faster turnaround times positively influenced the adoption of NGS tests. Willingness to pay (WTP) estimates varied from EUR 387 (95% CI, 271.8-502.9) for 7% increase in the diagnostic yield to EUR 469 (95% CI, 287.2-744.9) for a decrease of one week in the turnaround time. Responders would reduce diagnostic yield by 7% to decrease the turnaround time by one week in both the preference and the willingness to trade (WTT) spaces. Respondents prioritised diagnostic yield (RI = 50.36%; 95% CI 40.2-67.2%) compared to other attributes. Conclusions: therefore, health professionals value NGS for allowing earlier, more accurate genetic diagnoses.

Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia

Cognitive symptoms are prevalent across neuropsychiatric disorders, increase distress and impair quality of life. Self-guided digital interventions offer accessibility, scalability, and may overcome the research-to-practice treatment gap. Seventy-six trials with 5214 participants were identified. A random-effects meta-analysis investigated the effects of all digital self-guided interventions, compared to controls, at post-treatment. We found a small-to-moderate positive pooled effect on cognition (k = 71; g = -0.51, 95%CI -0.64 to -0.37; p < 0.00001) and mental health (k = 30; g = -0.41, 95%CI -0.60 to -0.22; p < 0.0001). Positive treatment effects on fatigue (k = 8; g = -0.27, 95%CI -0.53 to -0.02; p = 0.03) and quality of life (k = 22; g = -0.17, 95%CI -0.34 to -0.00; p = 0.04) were only marginally significant. No significant benefit was found for performance on activities of daily living. Results were independent of control groups, treatment duration, risk of bias and delivery format. Self-guided digital transdiagnostic interventions may benefit at least a subset of patients in the short run, yet their impact on non-cognitive outcomes remains uncertain.

Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee: Developed in collaboration with the European Heart Rhythm Association (EHRA), the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC, the Heart Failure Association (HFA) of the ESC, the ESC Young Community, the ESC Working Group on e-Cardiology, the ESC Council for Cardiology Practice, the ESC Council of Cardio-Oncology, the ESC Council on Hypertension, the ESC Patient Forum, the ESC Digital Health Committee, and the European Association of Preventive Cardiology (EAPC)

Mobile health (mHealth) solutions have the potential to improve self-management and clinical care. For successful integration into routine clinical practice, healthcare professionals (HCPs) need accepted criteria helping the mHealth solutions' selection, while patients require transparency to trust their use. Information about their evidence, safety and security may be hard to obtain and consensus is lacking on the level of required evidence. The new Medical Device Regulation is more stringent than its predecessor, yet its scope does not span all intended uses and several difficulties remain. The European Society of Cardiology Regulatory Affairs Committee set up a Task Force to explore existing assessment frameworks and clinical and cost-effectiveness evidence. This knowledge was used to propose criteria with which HCPs could evaluate mHealth solutions spanning diagnostic support, therapeutics, remote follow-up and education, specifically for cardiac rhythm management, heart failure and preventive cardiology. While curated national libraries of health apps may be helpful, their requirements and rigour in initial and follow-up assessments may vary significantly. The recently developed CEN-ISO/TS 82304-2 health app quality assessment framework has the potential to address this issue and to become a widely used and efficient tool to help drive decision-making internationally. The Task Force would like to stress the importance of co-development of solutions with relevant stakeholders, and maintenance of health information in apps to ensure these remain evidence-based and consistent with best practice. Several general and domain-specific criteria are advised to assist HCPs in their assessment of clinical evidence to provide informed advice to patients about mHealth utilization.

Using the behaviour change wheel to develop a tailored intervention to overcome general practitioners' perceived barriers to referring insomnia patients to digital therapeutic sleepio

BACKGROUND

Digital therapeutic Sleepio has proven effective in improving sleep quality and decreasing symptoms of anxiety. The National Institute for Health and Care Excellence (NICE) guidance recommends Sleepio as an alternative treatment to usual sleep hygiene education and hypnotic medications. General practitioners (GPs) play a critical role in the adoption of digital therapeutics in patient care. Previous interventions did not adopt theoretical frameworks to systematically understand GPs behaviour toward referring patients to digital therapeutics.

OBJECTIVES

This study aimed to report the systematic and comprehensive development of an intervention to encourage GPs to refer insomnia patients to Sleepio, using the Behaviour Change Wheel (BCW).

METHODS

The eight steps outlined in the BCW were followed to develop an intervention. The Capability Opportunity Motivation-Behaviour Self-Evaluation Questionnaire (COM-B-Qv1) was adopted to understand GPs perceived facilitators and barriers to refer insomnia patients to Sleepio. The Behaviour Change Technique Taxonomy Version 1 (BCTv1) was thereafter used to identify possible strategies that could be used to facilitate changes in GPs' behaviour in relation to Sleepio.

RESULTS

The BCW design process resulted in the identification of five intervention functions, three policy categories and five behaviour change techniques (BCTs) as potential active components for an intervention. The intervention includes providing GPs with an orientation about using Sleepio to improve their knowledge and confidence, sending visual reminders to GPs to recommend Sleepio to their patients, providing ongoing technical support.

CONCLUSION

The BCW can be successfully applied through a systematic process to understand the drivers of GPs' behaviour and to develop an intervention that can encourage them to refer insomnia patients to Sleepio.

The impact of mobile health interventions on service users' health outcomes and the role of health professions: a systematic review of systematic reviews-protocol

BACKGROUND

Mobile health tools have gained prominence in global health care in recent years. Mobile health (mHealth) interventions have demonstrated their impact on managing healthcare service users' health. A pilot search revealed many systematic reviews on the effectiveness of mobile health tools on service users' health outcomes. However, how the role of healthcare professionals in promoting the adoption of mobile health may lead to improved outcomes needs to be clarified. Therefore, this systematic review aims to synthesise existing systematic reviews that examine both the impact of mobile health interventions on service users' outcomes and the role of healthcare professionals in facilitating the adoption of mobile health solutions.

METHODS

Five electronic databases will be searched: EMBASE, CINHAL Plus, MEDLINE, Web of Science, and the Cochrane Library for systematic reviews exploring the impact of mobile health interventions on service users' outcomes and the role of healthcare professionals in facilitating the adoption of mobile health solutions. Systematic reviews published in English dated from January 2015 to June 2024 will be included. Screening and selection of the reviews against inclusion and exclusion criteria will be performed by three independent reviewers, as well as data extraction and quality assessment.

DISCUSSION

Current systematic reviews in mHealth have primarily focused on assessing the effectiveness of mHealth interventions for managing a range of conditions. While these reviews provide valuable input into the outcomes for mHealth, more is needed to know about the impact of the involvement of health professions on service users' outcomes when adopting mHealth. This systematic review of systematic reviews aims to bridge this critical gap in the literature by critically appraising and synthesising the evidence of mHealth interventions' impact on service user outcomes and the level of involvement of health professionals.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD 42023414435.

Perceptions of digital technology use for monitoring health in people living with neurological disorders

BACKGROUND

Digital technology offers individuals the opportunity to monitor their symptoms. Information gathered from apps, devices, and web platforms may be used to direct clinical care and to support research.

AIM

Using this survey, we aim to explore the views of people attending the Anne Rowling Regenerative Neurology Clinic (ARRNC) and their relatives/caregivers regarding the use of digital health technologies to monitor health.

METHOD

People attending the ARRNC were invited to complete a structured 18-item questionnaire evaluating their experience and attitudes to using technology for monitoring health. People with neurodegenerative disease (pwND) and their caregivers completed a mix of closed and open-ended questions.

RESULTS

249 people responded, 51 relatives/caregivers and 198 pwND. 67.1% (n= 167) of respondents do not use technology for monitoring their health, but 98.2% (n = 164) of these are interested in their future use. 29.7% (n = 74) respondents currently use a smartphone for health monitoring, 20.9% (n = 52) use a wearable device, and 13.3% (n = 33) use a tablet. 79.3% (n = 65) of users use their technology for monitoring physical activity, 37.8% (n = 31) use it for assisting with self-management, and 41.5% (n = 34) use it for tracking sleep. Factors which would encourage use of technology are ease of access to devices and ability to monitor health. Respondents reported data security concerns and difficulty using technology as potential barriers.

CONCLUSION

People attending a neurology clinic, and their relatives/caregivers, support the use of digital technologies as an adjunct to routine care. There is a need for coordinated digital strategies for development and delivery of validated measures.

Assessing the job preferences of senior medical students for mandatory service: a discrete choice experiment

AIM

To investigate the job preferences of senior medical students for mandatory service as general practitioners using discrete choice experiment.

INTRODUCTION

Health workforce is directly associated with health service coverage and health outcomes. However, there is a global shortage of healthcare workers (HCWs) in rural areas. Discrete choice experiments can guide the policy and decision-makers to increase recruitment and retention of HCWs in remote and rural areas by determining their job preferences. The aim of this study is to investigate job preferences of senior medical students for mandatory service as general practitioners.

METHODS

This cross-sectional survey was conducted among 144 medical students. To estimate students' preferences for different levels of job attributes, a mixed logit model was utilised. Simulations of job uptake rates and willingness to pay (WTP) estimates were computed.

FINDINGS

All attributes had an impact on the job preferences of students with the following order of priority: salary, workload, proximity to family/friends, working environment, facility and developmental status. For a normal workload and a workplace closed to family/friends which were the most valued attributes after salary, WTPs were 2818.8 Turkish lira (TRY) ($398.7) and 2287.5 TRY ($323.6), respectively. The preference weights of various job characteristics were modified by gender, the presence of a HCW parent and willingness to perform mandatory service. To recruit young physicians where they are most needed, monetary incentives appear to be the most efficient intervention. Non-pecuniary job characteristics also affected job preferences. Packages of both monetary and non-monetary incentives tailored to individual characteristics would be the most efficient approach.

Nurses' Use of mHealth Apps for Chronic Conditions: Cross-Sectional Survey

BACKGROUND

Mobile health (mHealth) is increasingly used to support public health practice, as it has positive benefits such as enhancing self-efficacy and facilitating chronic disease management. Yet, relatively few studies have explored the use of mHealth apps among nurses, despite their important role in caring for patients with and at risk of chronic conditions.

OBJECTIVE

The aim of the study is to explore nurses' use of mHealth apps to support adults with or at risk of chronic conditions and understand the factors that influence technology adoption.

METHODS

A web-based cross-sectional survey was conducted between September 2022 and January 2023. The survey was shared via social media and professional nursing organizations to Australian nurses caring for adults with or at risk of chronic conditions.

RESULTS

A total of 158 responses were included in the analysis. More than two-thirds (n=108, 68.4%) of respondents reported that they personally used at least 1 mHealth app. Over half (n=83, 52.5% to n=108, 68.4%) reported they use mHealth apps at least a few times a month for clinical purposes. Logistic regression demonstrated that performance expectancy (P=.04), facilitating condition (P=.05), and personal use of mHealth apps (P=.05) were significantly associated with mHealth app recommendation. In contrast, effort expectancy (P=.09) and social influence (P=.46) did not have a significant influence on whether respondents recommended mHealth apps to patients. The inability to identify the quality of mHealth apps and the lack of access to mobile devices or internet were the most common barriers to mHealth app recommendation.

CONCLUSIONS

While nurses use mHealth apps personally, there is potential to increase their clinical application. Given the challenges reported in appraising and assessing mHealth apps, app regulation and upskilling nurses will help to integrate mHealth apps into usual patient care.

The PICOTS-ComTeC Framework for Defining Digital Health Interventions: An ISPOR Special Interest Group Report

OBJECTIVES

Digital health definitions are abundant, but often lack clarity and precision. We aimed to develop a minimum information framework to define patient-facing digital health interventions (DHIs) for outcomes research.

METHODS

Definitions of digital-health-related terms (DHTs) were systematically reviewed, followed by a content analysis using frameworks, including PICOTS (population, intervention, comparator, outcome, timing, and setting), Shannon-Weaver Model of Communication, Agency for Healthcare Research and Quality Measures, and the World Health Organization's Classification of Digital Health Interventions. Subsequently, we conducted an online Delphi study to establish a minimum information framework, which was pilot tested by 5 experts using hypothetical examples.

RESULTS

After screening 2610 records and 545 full-text articles, we identified 101 unique definitions of 67 secondary DHTs in 76 articles, resulting in 95 different patterns of concepts among the definitions. World Health Organization system (84.5%), message (75.7%), intervention (58.3%), and technology (52.4%) were the most frequently covered concepts. For the Delphi survey, we invited 47 members of the ISPOR Digital Health Special Interest Group, 18 of whom became the Delphi panel. The first, second, and third survey rounds were completed by 18, 11, and 10 respondents, respectively. After consolidating results, the PICOTS-ComTeC acronym emerged, involving 9 domains (population, intervention, comparator, outcome, timing, setting, communication, technology, and context) and 32 optional subcategories.

CONCLUSIONS

Patient-facing DHIs can be specified using PICOTS-ComTeC that facilitates identification of appropriate interventions and comparators for a given decision. PICOTS-ComTeC is a flexible and versatile tool, intended to assist authors in designing and reporting primary studies and evidence syntheses, yielding actionable results for clinicians and other decision makers.

Two cities, two stages in transforming society-a mixed methods study comparing doctors' adoption of mobile apps for communication with patients in Hangzhou and Yancheng, China

Objectives

Mobile apps have become commonplace in doctor-patient communication over the last 20 years. Doctors mainly use two kinds of app, social networking apps (i.e., WeChat) and medical platform apps (i.e., Haodf). The purpose of this study was to investigate whether the attributes of social interaction in local society impact doctors' choice of mobile apps to communicate with patients. This article addresses two research questions: (a) To what degree do doctors' adoption patterns in different societies differ? (b) Why do doctors choose certain mobile apps to communicate with patients?

Methods

This study employed a mixed methods research design to analyze doctor's adoption behavior patterns in two cities, Hangzhou (HZ) and Yancheng (YC), which represent two stages in transforming society. Various patterns, measured as the percentage of doctors who utilize the medical platform app of Haodf among all doctors and the average service counts per doctor, were compared in three groups of tertiary hospitals: the top ones in HZ, the average ones in HZ, and the average ones in YC. We also conducted thematic content analysis of qualitative data from semi-structured interviews with 20 purposely selected doctors in the two cities.

Results

The percentages of doctors who have adopted the app of Haodf from the three groups of tertiary hospitals were 49.97%, 41.00%, and 32.03%, with an average service counts per doctor of 261, 182 and 39, respectively. According to the interviewees, doctors from YC are more likely to use social networking apps to communicate with patients than their HZ counterparts to maintain social connections with their relatives, friends, colleagues, and others.

Conclusion

This study demonstrates that doctors' choices of mobile apps are dependent upon social context. In traditional society, where people have close ties, the logic of using social networking apps lies in doctors' need to maximize the utility of their knowledge by maintaining social connections with others. In modern society, where the close ties between people have gradually weakened, the logic of using medical platform apps lies in doctors' needs for reputation marketing, either for themselves or for institutions, their affiliated departments or hospitals.

Stakeholders' preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments

This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers' preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.

Understanding rural women's preferences for telephone call engagement with primary health care providers in Nigeria: a discrete choice experiment

BACKGROUND

The COVID-19 pandemic has accelerated the use of mobile phones to provide primary health care services and maintain continuity of care. This study aims to understand rural women's preferences for telephone call engagement with primary health care providers in Nigeria.

METHODS

A discrete choice experiment was conducted alongside an action research project that empowered primary health care workers to develop and implement a telephone call intervention to assess and enhance experiences with facility childbirth care. Between January and March 2022, 30 providers from 10 primary health care facilities implemented the choice experiment among rural women who had institutional childbirth to elicit service user preferences for telephone call engagement. The women were asked to express their preferred scenario for telephone call engagement with their primary health care providers. Generalised linear mixed models were used to estimate women's preferences.

RESULTS

Data for 460 women were available for the discrete choice experiment. The study showed that rural women have preferences for telephone call engagement with primary health care providers. Specifically, women preferred engaging with female to male callers (β=1.665 (95% CI 1.41, 1.93), SE=0.13, p<0.001), preferred call duration under 15 min (β=1.287 (95% CI 0.61, 1.96), SE=0.34, p<0.001) and preferred being notified before the telephone engagement (warm calling) (β=1.828 (95% CI 1.10, 2.56), SE=0.37, p<0.001). Phone credit incentive was also a statistically significant predictor of women's preferences for engagement. However, neither the availability of scheduling options, the period of the day or the day of the week predicts women's preferences.

CONCLUSIONS

The study highlights the importance of understanding rural women's preferences for telephone call engagement with healthcare providers in low-income and middle-income countries. These findings can inform the development of mobile phone-based interventions and improve acceptability and broader adoption.

A qualitative study on healthcare professional and patient perspectives on nurse-led virtual prostate cancer survivorship care

BACKGROUND

Virtual nurse-led care models designed with health care professionals (HCPs) and patients may support addressing unmet prostate cancer (PCa) survivor needs. Within this context, we aimed to better understand the optimal design of a service model for a proposed nurse-led PCa follow-up care platform (Ned Nurse).

METHODS

A qualitative descriptive study exploring follow-up and virtual care experiences to inform a nurse-led virtual clinic (Ned Nurse) with an a priori convenience sample of 10 HCPs and 10 patients. We provide a health ecosystem readiness checklist mapping facilitators onto CFIR and Proctor's implementation outcomes.

RESULTS

We show that barriers within the current standard of care include: fragmented follow-up, patient uncertainty, and long, persisting wait times despite telemedicine modalities. Participants indicate that a nurse-led clinic should be scoped to coordinate care and support patient self-management, with digital literacy considerations.

CONCLUSION

A nurse-led follow-up care model for PCa is seen by HCPs as acceptable, feasible, and appropriate for care delivery. Patients value its potential to provide role clarity, reinforce continuity of care, enhance mental health support, and increase access to timely and targeted care. These findings inform design, development, and implementation strategies for digital health interventions within complex settings, revealing opportunities to optimally situate these interventions to improve care.

Digitizing nursing: A theoretical and holistic exploration to understand the adoption and use of digital technologies by nurses

BACKGROUND

With healthcare undergoing rapid digitalization, the effective integration of new technologies is crucial for nursing professionals, who form the largest group in the healthcare workforce. However, barriers within the nursing profession may impede digitalization efforts, leading to under utilization of available technologies and missed opportunities for enhancing healthcare quality and population health.

AIMS

This article aims to investigate the adoption and use of digital technologies by nurses, considering how key demographics, such as gender, age, and voluntariness of technology use, interact to influence their acceptance and utilization of these technologies.

METHODS

Employing the Unified Theory of Acceptance and Use of Technology (UTAUT) as a framework, we conducted a discursive exploration, supplemented by a literature review from diverse academic sources. Keywords related to UTAUT, digitalization, nursing practice and technology adoption were searched on PubMed, CINAHL and Google Scholar. Additionally, UK government and professional regulator reports were examined to understand current recommendations concerning digital technologies in nursing practice and the profession's demography. Searches focused on moderating factor domains, and the last search was conducted on 26 April 2023.

RESULTS

The study revealed that the successful implementation of digital technologies in nursing practice requires a nuanced understanding of the nursing workforce's characteristics and preferences. Gender, age and voluntariness of technology use were found to intersect and influence nurses' acceptance and utilization of digital tools.

DISCUSSION

By applying UTAUT in the context of nursing, this study highlights the importance of tailored implementation strategies for digital technologies. A technologically deterministic perspective is insufficient; instead, consideration of social factors specific to nursing is essential for successful adoption.

CONCLUSION

To maximize the benefits of digitalization in healthcare, it is imperative to address the barriers faced by nursing professionals. A comprehensive understanding of how key demographics impact technology adoption will inform targeted strategies, enhancing the engagement of nurses with digital tools and fostering innovation in healthcare practices. Further research and primary data are needed, but this study lays the foundation for future advancements in digital healthcare integration for nursing professionals.

RELEVANCE TO CLINICAL PRACTICE

The issues highlighted in this article are relevant to nurse leaders and those responsible for implementing technologies within nursing contexts. They are also relevant to technology developers who may benefit from considering the evidence associated with the moderating demographic factors highlighted in this article. Without a holistic approach to the implementation of technology, challenges associated with the use of digital technology by nurses are likely to persist. By considering the moderating demographic factors highlighted within the UTAUT (age, gender, voluntariness of use and experience) nurse leaders and technology developers may have greater success obtaining greater clinical outcomes from digital technology. This work was completed in 2022.

NO PATIENT OR PUBLIC CONTRIBUTION

Due to the focus of this article being one on professional challenges within the nursing profession, no involvement from patients or the public was sought.

Health Providers' Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis

BACKGROUND

Mobile health (mHealth) technology has great potential for addressing the epidemic of chronic noncommunicable diseases (CNCDs) by assisting health providers (HPs) with managing these diseases. However, there is currently limited evidence regarding the acceptance of mHealth among HPs, which is a key prerequisite for harnessing this potential.

OBJECTIVE

This review aimed to investigate the perceptions and experiences of HPs regarding the barriers to and facilitators of mHealth use for CNCDs.

METHODS

A systematic search was conducted in MEDLINE (via Ovid), Embase, Web of Science, Google Scholar, and Cochrane Library (via Ovid) for studies that assessed the perceptions and experiences of HPs regarding the barriers to and facilitators of mHealth use for CNCDs. Qualitative studies and mixed methods studies involving qualitative methods published in English were included. Data synthesis and interpretation were performed using a thematic synthesis approach.

RESULTS

A total of 18,242 studies were identified, of which 24 (0.13%) met the inclusion criteria. Overall, 6 themes related to facilitators were identified, namely empowering patient self-management, increasing efficiency, improving access to care, increasing the quality of care, improving satisfaction, and improving the usability of the internet and mobile software. Furthermore, 8 themes related to barriers were identified, namely limitation due to digital literacy, personal habits, or health problems; concern about additional burden; uncertainty around the value of mHealth technology; fear of medicolegal risks; lack of comfortable design and experience; lack of resources and incentives; lack of policy guidance and regulation; and worrisome side effects resulting from the use of mHealth.

CONCLUSIONS

This study contributes to the understanding of the beneficial factors of and obstacles to mHealth adoption by HPs for CNCDs. The findings of this study may provide significant insights for health care workers and policy makers who seek ways to improve the adoption of mHealth by HPs for CNCDs.

Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment

BACKGROUND

Strokes pose a particular challenge to the health care system. Although stroke-related mortality has declined in recent decades, the absolute number of new strokes (incidence), stroke deaths, and survivors of stroke has increased. With the increasing need of neurorehabilitation and the decreasing number of professionals, innovations are needed to ensure adequate care. Digital technologies are increasingly used to meet patients' unfilled needs during their patient journey. Patients must adhere to unfamiliar digital technologies to engage in health interventions. Therefore, the acceptance of the benefits and burdens of digital technologies in health interventions is a key factor in implementing these innovations.

OBJECTIVE

This study aims to describe the development of a discrete choice experiment (DCE) to weigh criteria that impact patient and public acceptance. Secondary study objectives are a benefit-burden assessment (estimation of the maximum acceptable burden of technical features and therapy-related characteristics for the patient or individual, eg, no human contact), overall comparison (assessment of the relative importance of attributes for comparing digital technologies), and adherence (identification of key attributes that influence patient adherence). The exploratory objectives include heterogeneity assessment and subgroup analysis. The methodological aims are to investigate the use of DCE.

METHODS

To obtain information on the criteria impacting acceptance, a DCE will be conducted including 7 attributes based on formative qualitative research. Patients with stroke (experimental group) and the general population (control group) are surveyed. The final instrument includes 6 best-best choice tasks in partial design. The experimental design is a fractional-factorial efficient Bayesian design (D-error). A conditional logit regression model and mixed logistic regression models will be used for analysis. To consider the heterogeneity of subgroups, a latent class analysis and an analysis of heteroscedasticity will be performed.

RESULTS

The literature review, qualitative preliminary study, survey development, and pretesting were completed. Data collection and analysis will be completed in the last quarter of 2023.

CONCLUSIONS

Our results will inform decision makers about patients' and publics' acceptance of digital technologies used in innovative interventions. The patient preference information will improve decisions regarding the development, adoption, and pricing of innovative interventions. The behavioral changes in the choice of digital intervention alternatives are observable and can therefore be statistically analyzed. They can be translated into preferences, which define the value. This study will investigate the influences on the acceptance of digital interventions and thus support decisions and future research.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/46056.

Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits

The adoption of Mobile Health (mHealth) for self-management is growing. mHealth solutions are commonly used in public healthcare and health services, where they are appreciated for their ease of use, broad reach, and wide acceptance. Chronic Low Back Pain (CLBP) is one of the most common health problems and a leading cause of disability. As such, it imposes a tremendous burden on patients and society. Studies have proposed that mHealth self-management solutions, such as mobile applications, can supplement traditional care methods and benefit patients, particularly in self-managing CLBP easier. To this end, the number of available mobile applications for CLBP has increased. This paper i) provides an overview of scientific studies on mobile applications for CLBP management from three different viewpoints: researchers, health professionals, and patients, ii) uncovers the application features that were seen as beneficial in the studies, and iii) contrasts the currently available applications for CLBP in Google Play Store and Apple App Store against the discovered features. The findings show that "Personalization and customization" is the most significant feature as it is beneficial from stakeholders' viewpoint and is represented by most applications. In contrast, "Gamification" and "Artificial intelligence" are the least significant features, indicating a lack of attention from application creators and researchers in this area.

Physicians' Use of Digital Health Interventions in the Management of Nonalcoholic Fatty Liver Disease

Globally, the use of digital health interventions (DHIs) is expanding, along with growing scientific evidence of their effectiveness. Given the high and increasing prevalence of noncommunicable liver disease, we surveyed 295 physicians across Spain about their knowledge, beliefs, attitudes, practices, and access with regard to DHIs for patient care and in particular for liver diseases, including nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. Physicians reported high familiarity with DHIs, although most had not recommended them in patient care. Addressing concerns, including limited available time, evidence of effectiveness, education, training, and access may contribute to an increased uptake of these technologies.

Interventions Aimed at Enhancing Health Care Providers' Behavior Toward the Prescription of Mobile Health Apps: Systematic Review

BACKGROUND

Mobile health (mHealth) apps have great potential to support the management of chronic conditions. Despite widespread acceptance of mHealth apps by the public, health care providers (HCPs) are reluctant to prescribe or recommend such apps to their patients.

OBJECTIVE

This study aimed to classify and evaluate interventions aimed at encouraging HCPs to prescribe mHealth apps.

METHODS

A systematic literature search was conducted to identify studies published from January 1, 2008, to August 5, 2022, using 4 electronic databases: MEDLINE, Scopus, CINAHL, and PsycINFO. We included studies that evaluated interventions encouraging HCPs to prescribe mHealth apps. Two review authors independently assessed the eligibility of the studies. The "National Institute of Health's quality assessment tool for before-and-after (pretest-posttest design) studies with no control group" and "the mixed methods appraisal tool (MMAT)" were used to assess the methodological quality. Owing to high levels of heterogeneity between interventions, measures of practice change, specialties of HCPs, and modes of delivery, we conducted a qualitative analysis. We adopted the behavior change wheel as a framework for classifying the included interventions according to intervention functions.

RESULTS

In total, 11 studies were included in this review. Most of the studies reported positive findings, with improvements in a number of outcomes, including increased knowledge of mHealth apps among clinicians, improved self-efficacy or confidence in prescribing, and an increased number of mHealth app prescriptions. On the basis of the behavior change wheel, 9 studies reported elements of environmental restructuring such as providing HCPs with lists of apps, technological systems, time, and resources. Furthermore, 9 studies included elements of education, particularly workshops, class lectures, individual sessions with HCPs, videos, or toolkits. Furthermore, training was incorporated in 8 studies using case studies or scenarios or app appraisal tools. Coercion and restriction were not reported in any of the interventions included. The quality of the studies was high in relation to the clarity of aims, interventions, and outcomes but weaker in terms of sample size, power calculations, and duration of follow-up.

CONCLUSIONS

This study identified interventions to encourage app prescriptions by HCPs. Recommendations for future research should consider previously unexplored intervention functions such as restrictions and coercion. The findings of this review can help inform mHealth providers and policy makers regarding the key intervention strategies impacting mHealth prescriptions and assist them in making informed decisions to encourage this adoption.

An age-old problem or an old-age problem? A UK survey of attitudes, historical use and recommendations by healthcare professionals to use healthcare apps

BACKGROUND

The coronavirus pandemic has exacerbated barriers to accessing face-to-face care. Consequently, the potential for digital health technologies (DHTs) to address unmet needs has gained traction. DHTs may circumvent several barriers to healthy independent living, resulting in both socioeconomic and clinical benefits. However, previous studies have demonstrated these benefits may be disproportionately realised among younger populations while excluding older people.

METHODS

We performed a prospective survey using the One Poll market research platform among 2000 adults from the United Kingdom. To mitigate against self-selection bias, participants were not informed of the topic of the survey until they had completed recruitment. We compared willingness to use and historical use of health-apps, in addition to recommendations to use health-apps from healthcare professionals; comparing outcomes across all age groups, including a reference group (n = 222) of those aged 18-24. Outcomes were analysed using multivariate logistic regression and reported as odds ratios (OR) with respondent age, ethnicity, gender, and location as covariates.

RESULTS

Willingness to use health-apps decreased significantly with age, reaching a minimum (OR = 0.39) among those aged 65 and over compared to the reference group of 18-24 year olds. Despite this, more than 52% of those aged 65 and over were willing to use health-apps. Functions and features most cited as useful by older populations included symptom self-monitoring and surgery recovery assistance. The likelihood of never having used a health-app also increased consistently with age, reaching a maximum among those aged 65 and over (OR = 18.3). Finally, the likelihood of being recommended health-apps by a healthcare professional decreased significantly with age, (OR = 0.09) for those aged 65 and over. In absolute terms, 33.8% of those aged 18-24, and 3.9% of those aged 65 and over were recommended health-apps by their healthcare professionals.

CONCLUSION

Although absolute utilisation of health-apps decreases with age, the findings of this study suggest that the gap between those willing to use health-apps, and those being recommended health-apps by healthcare professionals increases with age. Given the increasing availability of evidence-based health-apps designed for older populations, this may result in entirely avoidable unmet needs, suggesting that more should be done by healthcare professionals to recommend health-apps to older persons who are generally positive about their use. This may result in considerable improvements in healthy and independent ageing.

Digital Transformation in Healthcare: Technology Acceptance and Its Applications

Technological innovation has become an integral aspect of our daily life, such as wearable and information technology, virtual reality and the Internet of Things which have contributed to transforming healthcare business and operations. Patients will now have a broader range and more mindful healthcare choices and experience a new era of healthcare with a patient-centric culture. Digital transformation determines personal and institutional health care. This paper aims to analyse the changes taking place in the field of healthcare due to digital transformation. For this purpose, a systematic bibliographic review is performed, utilising Scopus, Science Direct and PubMed databases from 2008 to 2021. Our methodology is based on the approach by Wester and Watson, which classify the related articles based on a concept-centric method and an ad hoc classification system which identify the categories used to describe areas of literature. The search was made during August 2022 and identified 5847 papers, of which 321 fulfilled the inclusion criteria for further process. Finally, by removing and adding additional studies, we ended with 287 articles grouped into five themes: information technology in health, the educational impact of e-health, the acceptance of e-health, telemedicine and security issues.

eHealth and mHealth in Chronic Diseases—Identification of Barriers, Existing Solutions, and Promoters Based on a Survey of EU Stakeholders Involved in Regions4PerMed (H2020)

Background: In recent years, rapid population ageing has become a worldwide phenomenon. Both electronic health services (eHealth) and mobile health services (mHealth) are becoming important components of healthcare delivery. The market for mHealth is growing extremely fast. However, despite the increasing investment and interest in eHealth, several challenges still need to be overcome to enable broader and more systematic implementation of ICT in healthcare. Methods: This study presents data from the survey “Barriers and facilitators of Personalised Medicine implementation- qualitative study under Regions4PerMed (H2020) project”. In addition, this paper discusses the results of the conference, Health Technology in Connected & Integrated Care, held under the Horizon 2020 project and interregional coordination for a fast and deep uptake of personalised health (Regions4Permed) (July 2020—online conference). The above sections were preceded by an analysis of existing articles. Results: The data obtained from the surveys show that the main barriers to the adoption of eHealth and mHealth are the lack of skills of seniors, but also the lack of user-friendly technology and a simple user interface. Access to individual data while ensuring its security and the lack of digitisation of medical data are also serious issues. In addition, medical digital solutions are overly fragmented due to national legislations that deviate from the General Data Protection Regulation. Conclusions: By using technological solutions, it is possible to improve diagnosis and treatment decisions, and better adapt treatment and reduce its duration and cost. However, there are still barriers to the development of eHealth. Clear recommendations for implementation are needed to enable further development of personalised eHealth and mHealth solutions

Effectiveness of eHealth and mHealth Interventions Supporting Children and Young People Living With Juvenile Idiopathic Arthritis: Systematic Review and Meta-analysis

BACKGROUND

Juvenile idiopathic arthritis (JIA) management aims to promote remission through timely, individualized, well-coordinated interdisciplinary care using a range of pharmacological, physical, psychological, and educational interventions. However, achieving this goal is workforce-intensive. Harnessing the burgeoning eHealth and mobile health (mHealth) interventions could be a resource-efficient way of supplementing JIA management.

OBJECTIVE

This systematic review aims to identify the eHealth and mHealth interventions that have been proven to be effective in supporting health outcomes for children and young people (aged 1-18 years) living with JIA.

METHODS

We systematically searched 15 databases (2018-2021). Studies were eligible if they considered children and young people (aged 1-18 years) diagnosed with JIA, an eHealth or mHealth intervention, any comparator, and health outcomes related to the used interventions. Independently, 2 reviewers screened the studies for inclusion and appraised the study quality using the Downs and Black (modified) checklist. Study outcomes were summarized using a narrative, descriptive method and, where possible, combined for a meta-analysis using a random-effects model.

RESULTS

Of the 301 studies identified in the search strategy, 15 (5%) fair-to-good-quality studies met the inclusion criteria, which identified 10 interventions for JIA (age 4-18.6 years). Of these 10 interventions, 5 (50%) supported symptom monitoring by capturing real-time data using health applications, electronic diaries, or web-based portals to monitor pain or health-related quality of life (HRQoL). Within individual studies, a preference was demonstrated for real-time pain monitoring over recall pain assessments because of a peak-end effect, improved time efficiency (P=.002), and meeting children's and young people's HRQoL needs (P<.001) during pediatric rheumatology consultations. Furthermore, 20% (2/10) of interventions supported physical activity promotion using a web-based program or a wearable activity tracker. The web-based program exhibited a moderate effect, which increased endurance time, physical activity levels, and moderate to vigorous physical activity (standardized mean difference [SMD] 0.60, SD 0.02-1.18; I²=79%; P=.04). The final 30% (3/10) of interventions supported self-management development through web-based programs, or apps, facilitating a small effect, reducing pain intensity (SMD -0.14, 95% CI -0.43 to 0.15; I²=53%; P=.33), and increasing disease knowledge and self-efficacy (SMD 0.30, 95% CI 0.03-0.56; I²=74%; P=.03). These results were not statistically significant. No effect was seen regarding pain interference, HRQoL, anxiety, depression, pain coping, disease activity, functional ability, or treatment adherence.

CONCLUSIONS

Evidence that supports the inclusion of eHealth and mHealth interventions in JIA management is increasing. However, this evidence needs to be considered cautiously because of the small sample size, wide CIs, and moderate to high statistical heterogeneity. More rigorous research is needed on the longitudinal effects of real-time monitoring, web-based pediatric rheumatologist-children and young people interactions, the comparison among different self-management programs, and the use of wearable technologies as an objective measurement for monitoring physical activity before any recommendations that inform current practice can be given.

World Heart Federation Roadmap for Digital Health in Cardiology

More than 500 million people worldwide live with cardiovascular disease (CVD). Health systems today face fundamental challenges in delivering optimal care due to ageing populations, healthcare workforce constraints, financing, availability and affordability of CVD medicine, and service delivery. Digital health technologies can help address these challenges. They may be a tool to reach Sustainable Development Goal 3.4 and reduce premature mortality from non-communicable diseases (NCDs) by a third by 2030. Yet, a range of fundamental barriers prevents implementation and access to such technologies. Health system governance, health provider, patient and technological factors can prevent or distort their implementation. World Heart Federation (WHF) roadmaps aim to identify essential roadblocks on the pathway to effective prevention, detection, and treatment of CVD. Further, they aim to provide actionable solutions and implementation frameworks for local adaptation. This WHF Roadmap for digital health in cardiology identifies barriers to implementing digital health technologies for CVD and provides recommendations for overcoming them.

Developing mHealth to the Context and Valuation of Injured Patients and Professionals in Hospital Trauma Care: Qualitative and Quantitative Formative Evaluations (Preprint)

Background

Trauma care faces challenges to innovating their services, such as with mobile health (mHealth) app, to improve the quality of care and patients’ health experience. Systematic needs inquiries and collaborations with professional and patient end users are highly recommended to develop and prepare future implementations of such innovations.

Objective

This study aimed to develop a trauma mHealth app for patient information and support in accordance with the Center for eHealth Research and Disease Management road map and describe experiences of unmet information and support needs among injured patients with trauma, barriers to and facilitators of the provision of information and support among trauma care professionals, and drivers of value of an mHealth app in patients with trauma and trauma care professionals.

Methods

Formative evaluations were conducted using quantitative and qualitative methods. Ten semistructured interviews with patients with trauma and a focus group with 4 trauma care professionals were conducted for contextual inquiry and value specification. User requirements and value drivers were applied in prototyping. Furthermore, a complementary quantitative discrete choice experiment (DCE) was conducted with 109 Dutch trauma surgeons, which enabled triangulation on value specification results. In the DCE, preferences were stated for hypothetical mHealth products with various attributes. Panel data from the DCE were analyzed using conditional and mixed logit models.

Results

Patients disclosed a need for more psychosocial support and easy access to more extensive information on their injury, its consequences, and future prospects. Health care professionals designated workload as an essential issue; a digital solution should not require additional time. The conditional logit model of DCE results suggested that access to patient app data through electronic medical record integration (odds ratio [OR] 3.3, 95% CI 2.55-4.34; P<.001) or a web viewer (OR 2.3, 95% CI 1.64-3.31; P<.001) was considered the most important for an mHealth solution by surgeons, followed by the inclusion of periodic self-measurements (OR 2, 95% CI 1.64-2.46; P<.001), the local adjustment of patient information (OR 1.8, 95% CI 1.42-2.33; P<.001), local hospital identification (OR 1.7, 95% CI 1.31-2.10; P<.001), complication detection (OR 1.5, 95% CI 1.21-1.84; P<.001), and the personalization of rehabilitation through artificial intelligence (OR 1.4, 95% CI 1.13-1.62; P=.001).

Conclusions

In the context of trauma care, end users have many requirements for an mHealth solution that addresses psychosocial functioning; dependable information; and, possibly, a prediction of how a patient’s recovery trajectory is evolving. A structured development approach provided insights into value drivers and facilitated mHealth prototype enhancement. The findings imply that iterative development should move on from simple and easily implementable mHealth solutions to those that are suitable for broader innovations of care pathways that most—but plausibly not yet all—end users in trauma care will value. This study could inspire the trauma care community.

Chronic Heart Failure Patients’ Attitudes towards Digital Device Data for Self-Documentation and Research in Germany: A Cross-Sectional Survey Study (Preprint)

Background

In recent years, the use of digital mobile measurement devices (DMMDs) for self-documentation in cardiovascular care in Western industrialized health care systems has increased. For patients with chronic heart failure (cHF), digital self-documentation plays an increasingly important role in self-management. Data from DMMDs can also be integrated into telemonitoring programs or data-intensive medical research to collect and evaluate patient-reported outcome measures through data sharing. However, the implementation of data-intensive devices and data sharing poses several challenges for doctors and patients as well as for the ethical governance of data-driven medical research.

Objective

This study aims to explore the potential and challenges of digital device data in cardiology research from patients’ perspectives. Leading research questions of the study concerned the attitudes of patients with cHF toward health-related data collected in the use of digital devices for self-documentation as well as sharing these data and consenting to data sharing for research purposes.

Methods

A cross-sectional survey of patients of a research in cardiology was conducted at a German university medical center (N=159) in 2020 (March to July). Eligible participants were German-speaking adult patients with cHF at that center. A pen-and-pencil questionnaire was sent by mail.

Results

Most participants (77/105, 73.3%) approved digital documentation, as they expected the device data to help them observe their body and its functions more objectively. Digital device data were believed to provide cognitive support, both for patients’ self-assessment and doctors’ evaluation of their patients’ current health condition. Interestingly, positive attitudes toward DMMD data providing cognitive support were, in particular, voiced by older patients aged >65 years. However, approximately half of the participants (56/105, 53.3%) also reported difficulty in dealing with self-documented data that lay outside the optimal medical target range. Furthermore, our findings revealed preferences for the self-management of DMMD data disclosed for data-intensive medical research among German patients with cHF, which are best implemented with a dynamic consent model.

Conclusions

Our findings provide potentially valuable insights for introducing DMMD in cardiovascular research in the German context. They have several practical implications, such as a high divergence in attitudes among patients with cHF toward different data-receiving organizations as well as a large variance in preferences for the modes of receiving information included in the consenting procedure for data sharing for research. We suggest addressing patients’ multiple views on consenting and data sharing in institutional normative governance frameworks for data-intensive medical research.

Web-based internet searches for digital health products in the United Kingdom before and during the COVID-19 pandemic: a time-series analysis using app libraries from the Organisation for the Review of Care and Health Applications (ORCHA)

OBJECTIVES

To explore if consumer interest in digital health products (DHPs), changed following the COVID-19 pandemic and the lockdown measures that ensued.

DESIGN

Retrospective time-series analysis of web-based internet searches for DHPs in the UK, split over two periods, pre-COVID-19 lockdown (January 2019-23 March 2020) and post-COVID-19 lockdown (24 March 2020-31 December 2020).

SETTING

The UK.

PARTICIPANTS

Members of the UK general population using health-app libraries provided by the Organisation for the Review of Care and Health Applications.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was volume of searches for DHPs. Secondary outcomes considered search volumes for 25 different therapeutic areas. Outcomes were assessed for significance using a two-stage Poisson test.

RESULTS

There were 126 640 searches for DHPs over the study period. Searches for DHPs increased by 343% from 2446 per month prior to COVID-19 lockdown measures being introduced to 8996 per month in the period following the first COVID-19 lockdown in the UK. In total, 23/25 (92%) of condition areas experienced a significant increase in searches for DHPs, with the greatest increases occurring in the first 2 months following lockdown. Musculoskeletal conditions (2.036%), allergy (1.253%) and healthy living DHPs (1.051%) experienced the greatest increases in searches compared with pre-lockdown. Increased search volumes for DHPs were sustained in the 9 months following the introduction of lockdown measures, with 21/25 (84%) of condition areas experiencing monthly search volumes at least 50% greater than pre-lockdown levels.

CONCLUSIONS

The COVID-19 pandemic has profoundly disrupted the routine delivery of healthcare, making face-to-face interaction difficult, and contributing to unmet clinical needs. This study has demonstrated significant increases in internet searches for DHPs by members of the UK population since COVID-19, signifying an increased interest in this potential therapeutic medium. Future research should clarify whether this increased interest has resulted in increased acceptance and utilisation of these technologies also.

Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design

Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals' preferences in the absence of observational data. A discrete choice experiment (DCE) is a commonly used stated preference method-a quantitative methodology that argues that individuals make trade-offs when engaging in a decision by choosing an alternative of a product or a service that offers the greatest utility, or benefit. This methodology is widely used in health economics in situations in which revealed preferences are difficult to collect but is much less used in the field of digital health. This paper outlines the stages involved in developing a DCE. As a case study, it uses the application of a DCE to reveal preferences in targeting the uptake of smoking cessation apps. It describes the establishment of attributes, the construction of choice tasks of 2 or more alternatives, and the development of the experimental design. This tutorial offers a guide for researchers with no prior knowledge of this research technique.

The Adoption of Mobile Health Applications Among University Students in Health Colleges

Background

Studies documented the important role of health-care professionals in encouraging their patients to adopt and use mobile health applications. Health-care professionals who use and believe in mobile health applications are more likely to encourage and empower their patients to use it. Likewise, students in health-profession related specialties who use mobile health applications are more likely to continue to do so when they join the workforce.

Objective

The objective of this study was to examine the rate of adoption of mobile health applications in students in health colleges, identify the types of health applications used by health students, and identify the barriers that prevent the use of mobile health applications.

Methods

A descriptive cross-sectional study was conducted among university students. Students were invited to participate in a self-administrated survey from five health colleges. The survey included questions about the pattern of utilization, the purpose of the health-related application being used, and the barriers to adoption. The analysis included descriptive statistics using SPSS.

Results

A total of 383 students participated in this study. The within gender comparison showed that more female students were using health-related applications 59.8% compared to male students 49%. The most frequent purpose of using mobile health applications were tracking physical activities 72.5% followed by counting calories intake 44%. We also identified the frequency and duration of use as well as the factors which may impact students intention to use.

Conclusion

Fitness and dietary related applications were more common which might be explained by the fact that we only included a younger age group. The reported levels of perceived usefulness, accessibility and ease of use suggest that students will continue to use it.

Assessing private provider perceptions and the acceptability of video observed treatment technology for tuberculosis treatment adherence in three cities across Viet Nam

BACKGROUND

The World Health Organization recently recommended Video Observed Therapy (VOT) as one option for monitoring tuberculosis (TB) treatment adherence. There is evidence that private sector TB treatment has substandard treatment follow-up, which could be improved using VOT. However, acceptability of VOT in the private sector has not yet been evaluated.

METHODS

We conducted a cross-sectional survey employing a theoretical framework for healthcare intervention acceptability to measure private provider perceptions of VOT across seven constructs in three cities of Viet Nam: Ha Noi, Ho Chi Minh City, and Hai Phong. We investigated the differences in private providers' attitudes and perceptions of VOT using mixed ordinal models to test for significant differences in responses between groups of providers stratified by their willingness to use VOT.

RESULTS

A total of 79 private providers completed the survey. Sixty-two providers (75%) indicated they would use VOT if given the opportunity. Between private providers who would and would not use VOT, there were statistically significant differences (p≤0.001) in the providers' beliefs that VOT would help identify side effects faster and in their confidence to monitor treatment and provide differentiated care with VOT. There were also significant differences in providers' beliefs that VOT would save them time and money, address problems faced by their patients, benefit their practice and patients, and be relevant for all their patients.

CONCLUSION

Private providers who completed the survey have positive views towards using VOT and specific subpopulations acknowledge the value of integrating VOT into their practice. Future VOT implementation in the private sector should focus on emphasizing the benefits and relevance of VOT during recruitment and provide programmatic support for implementing differentiated care with the technology.

Quantity and type of peer-reviewed evidence for popular free medical apps: Cross-sectional review

INTRODUCTION

- Mobile apps are being increasingly used as a tool to deliver clinical care. Evidence of efficacy for such apps varies, and appropriate levels of evidence may depend on the app's intended use. The UK's National Institute for Health and Care Excellence (NICE) recently developed an evidence standards framework, aiming to explicitly set out the required standards of evidence for different categories of digital health technologies. To determine current compliance with the evidence standards framework, the current study quantified the amount and type of peer-reviewed evidence associated with a cross-section of popular medical apps.

METHODS

- Apps were identified by selecting the top 100 free medical apps in the Apple App Store and all free apps in the NHS Apps Library. Each app was assigned to one of the four tiers (1, 2, 3a, 3b) in the NICE evidence standards framework. For each app, we conducted searches in Ovid-MEDLINE, Web of Science, Google Scholar, and via manufacturer websites to identify any published articles that assessed the app. This allowed us to determine our primary outcome, whether apps in tiers 3a/3b were more likely than apps in tier 1/2 to be associated with academic peer-reviewed evidence.

RESULTS

- We reviewed 125 apps in total (Apple App Store (n = 72), NHS Apps Library (n = 45), both (n = 8), of which 54 were categorized into the higher evidence standards framework tiers, 3a/3b. After screening, we extracted 105 relevant articles which were associated with 25 of the apps. Only 6 articles, pertaining to 3 apps, were reports of randomised controlled trials. Apps in tiers 3a/3b were more likely to be associated with articles than apps in lower tiers (χ² = 5.54, p = .01). The percentage of tier 3a/3b apps with associated articles was similar for both the NHS Apps Library (10/28) and Apple App store (7/24), (χ² = 0.042, p = .84).

DISCUSSION

- Apps that were in higher tiers 3a and 3b, indicating higher clinical risk, were more likely to have an associated article than those in lower categories. However, even in these tiers, supporting peer-reviewed evidence was missing in the majority of instances. In our sample, Apps from the NHS Apps Library were more no more likely to have supporting evidence than popular Apple App Store apps. This is of concern, given that NHS approval may influence uptake of app usage.

Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps

BACKGROUND

The development and use of mobile health (mHealth) apps for asthma management have risen dramatically over the past two decades. Asthma apps vary widely in their content and features; however, prior research has rarely examined preferences of users of publicly available apps.

OBJECTIVE

The goals of this study were to provide a descriptive overview of asthma mobile apps that are publicly available and to assess the usability of asthma apps currently available on the market to identify content and features of apps associated with positive and negative user ratings.

METHODS

Reviews were collected on June 23, 2020, and included publicly posted reviews until June 21, 2020. To characterize features associated with high or low app ratings, we first dichotomized the average user rating of the asthma app into 2 categories: a high average rating and a low average rating. Asthma apps with average ratings of 4 and above were categorized as having a high average rating. Asthma apps with average ratings of less than 4 were categorized as having a low average rating. For the sentiment analysis, we modeled both 2-word (bi-gram) and 3-word (tri-gram) phrases which commonly appeared across highly rated and lowly rated apps.

RESULTS

Of the 10 apps that met the inclusion criteria, a total of 373 reviews were examined across all apps. Among apps reviewed, 53.4% (199/373) received high ratings (average ratings of 4 or 5) and 47.2% (176/373) received low ratings (average ratings of 3 or less). The number of ratings across all apps ranged from 188 (AsthmaMD) to 10 (My Asthma App); 30% (3/10) of apps were available on both Android and iOS. From the sentiment analysis, key features of asthma management that were common among highly rated apps included the tracking of peak flow readings (n=48), asthma symptom monitoring (n=11), and action plans (n=10). Key features related to functionality that were common among highly rated apps included ease of use (n=5). Users most commonly reported loss of data (n=14) and crashing of app (n=12) as functionality issues among poorly rated asthma apps.

CONCLUSIONS

Our study results demonstrate that asthma app quality, maintenance, and updates vary widely across apps and platforms. These findings may call into question the long-term engagement with asthma apps, a crucial factor for determining their potential to improve asthma self-management and asthma clinical outcomes.

Examining the Effect of Overload on the MHealth Application Resistance Behavior of Elderly Users: An SOR Perspective

Aging has increased the burden of social medical care. Mobile health (mHealth) services provide an effective way to alleviate this pressure. However, the actual usage of mHealth services for elderly users is still very low. The extant studies mainly focused on elderly users’ mHealth adoption behavior, but resistance behavior has not been sufficiently explored by previous research. A present study tried to remedy this research gap by examining the effect of overload factors on the mHealth application resistance behavior based on the stimulus-organism-response (SOR) framework. The results indicated that information overload and system feature overload of an mHealth application increased the fatigue and technostress of the elderly user, which further increased their resistance behavior. Meanwhile, we integrated the intergeneration support with the SOR model to identify the buffer factor of the elderly user’s resistance behavior. The results showed that intergenerational support not only directly decrease the elderly user’s mHealth application resistance behavior, but also moderates (weaken) the effects of fatigue and technostress on resistance behavior. The present study also provided several valuable theoretical and practical implications.