Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users

Towards digital health equity - a qualitative study of the challenges experienced by vulnerable groups in using digital health services in the COVID-19 era

Background

The COVID-19 pandemic has given an unprecedented boost to already increased digital health services, which can place many vulnerable groups at risk of digital exclusion. To improve the likelihood of achieving digital health equity, it is necessary to identify and address the elements that may prevent vulnerable groups from benefiting from digital health services. This study examined the challenges experienced by vulnerable groups in using digital health services during the COVID-19 pandemic.

Methods

Qualitative descriptive design was utilized. Semi-structured interviews were conducted between October 2020 and May 2021. The participants (N = 74) were older adults, migrants, mental health service users, high users of health services, and the unemployed. Qualitative content analysis with both inductive and deductive approach was used to analyze the data. Challenges related to the use of digital health services were interpreted through digital determinants of health from the Digital Health Equity Framework.

Results

For most of the participants the access to digital health services was hampered by insufficient digital, and / or local language skills. The lack of support and training, poor health, as well as the lack of strong e-identification or suitable devices also prevented the access. Digital services were not perceived to be applicable for all situations or capable of replacing face-to-face services due to the poor communication in the digital environment. Fears and the lack of trust regarding digital platforms were expressed as well as concerns related to the security of the services. Contact with a health care professional was also considered less personal and more prone to misunderstandings in the digital environment than in face-to-face services. Finally, digital alternatives were not always available as desired by participants, or participants were unaware of existing digital services and their value.

Conclusion

Several development needs in the implementation of digital health services were identified that could improve equal access to and benefits gained from digital services in the future. While digital health services are increasing, traditional face-to-face services will still need to be offered alongside the digital ones to ensure equal access to services.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07584-4.

Regulatory standards and guidance for the use of health applications for self-management in Africa: scoping review protocol

INTRODUCTION

Despite health applications becoming ubiquitous and with enormous potential to facilitate self-management, regulatory challenges such as poor application quality, breach of data privacy and limited interoperability have impeded their full adoption. While many countries now have digital health-related policies/strategies, there is also a need for regulatory standards and guidance that address key regulatory challenges associated with the use of health applications. Currently, it is unclear the status of countries in Africa regarding regulatory standards and guidance that address the use of health applications.This protocol describes the process of conducting a scoping review which aims to investigate the extent to which regulatory standards and guidance address the use of health applications for self-management within the WHO African Region countries.

METHODS

The review will follow the methodological framework for conducting a scoping study by Arksey and O'Malley (2005), and the updated methodological guidance for conducting a Joanna Briggs Institute (JBI) scoping review. Given that regulatory standards and guidance are unlikely to be available in scientific databases, we will search Scopus, Google, OpenGrey, WHO Regional Office for Africa Library (AFROLIB), African Index Medicus (AIM), websites of WHO, ITU and Ministries of Health, repositories for digital health policies. We will also search the reference lists of included documents, and contact key stakeholders in the region. Results will be reported using descriptive qualitative content analysis based on the review objectives. The policy analysis framework by Walt and Gilson (1994) will be used to organise findings. A summary of the key findings will be presented using tables, charts and maps.

ETHICS AND DISSEMINATION

The collection of primary data is not anticipated in this study and hence ethical approval will not be required. The review will be published in a peer-reviewed journal while key findings will be shared with relevant organisations and/or presented at conferences.

An mHealth App for Fibromyalgia-like Post-COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data

Background

Post–COVID-19 syndrome, also referred as “long covid,” describes persisting symptoms after SARS-CoV-2 infection, including myalgia, fatigue, respiratory, or neurological symptoms. Objective symptoms are often lacking, thus resembling a fibromyalgia-like syndrome. Digital therapeutics have shown efficiency in similar chronic disorders such as fibromyalgia, offering specific disease monitoring and interventions such as cognitive behavioral therapy or physical and respiratory exercise guidance.

Objective

This protocol aims to study the requirements and features of a new mobile health (mHealth) app among patients with fibromyalgia-like post–COVID-19 syndrome in a clinical trial.

Methods

We created a web application prototype for the post–COVID-19 syndrome called “POCOS,” as a web-based rehabilitation tool aiming to improve clinical outcomes. Patients without organ damage or ongoing inflammation will be included in the study. App use will be assessed through user experience questionnaires, focus groups, and clinical data analysis. Subsequently, we will analyze cross-sectional and longitudinal clinical data.

Results

The developed mHealth app consists of a clinically adapted app interface with a simplified patient-reported outcome assessment, monitoring of medical interventions, and disease activity as well as web-based instructions for specific physical and respiratory exercises, stress reduction, and lifestyle instructions. The enrollment of participants is expected to be carried out in November 2021.

Conclusions

User experience plays an important role in digital therapeutics and needs to be clinically tested to allow further improvement. We here describe this process for a new app for the treatment of the fibromyalgia-like post–COVID-19 syndrome and discuss the relevance of the potential outcomes such as natural disease course and disease phenotypes.

International Registered Report Identifier (IRRID)

PRR1-10.2196/32193

Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study

Background

Self-monitoring of blood glucose levels, food intake, and physical activity supports self-management of patients with type 2 diabetes mellitus (T2DM). There has been an increase in the development and availability of mobile health apps for T2DM.

Objective

The aim of this study is to explore the actual use of mobile health apps for diabetes among patients with T2DM and the main barriers and drivers among app users and nonusers.

Methods

An explanatory sequential design was applied, starting with a web-based questionnaire followed by semistructured in-depth interviews. Data were collected between July and December 2020. Questionnaire data from 103 respondents were analyzed using IBM SPSS Statistics (version 25.0). Descriptive statistics were performed for the actual use of apps and items of the Unified Theory of Acceptance and Use of Technology (UTAUT). The UTAUT includes 4 key constructs: performance expectancy (the belief that an app will help improve health performance), effort expectancy (level of ease associated with using an app), social influence (social support), and facilitating conditions (infrastructural support). Differences between users and nonusers were analyzed using chi-square tests for individual items. Independent 2-tailed t tests were performed to test for differences in mean scores per the UTAUT construct. In total, 16 respondents participated in the interviews (10 users and 6 nonusers of apps for T2DM). We performed content analysis using a deductive approach on all transcripts, guided by the UTAUT.

Results

Regarding actual use, 55.3% (57/103) were nonusers and 44.7% (46/103) were users of apps for T2DM. The main driver for the use of apps was the belief that using apps for managing diabetes would result in better personal health and well-being. The time and energy required to keep track of the data and understand the app were mentioned as barriers. Mean scores were significantly higher among users compared with nonusers of apps for T2DM for the constructs performance expectancy (4.06, SD 0.64 vs 3.29, SD 0.89; P<.001), effort expectancy (4.04, SD 0.62 vs 3.50, SD 0.82; P<.001), social influence (3.59, SD 0.55 vs 3.29, SD 0.54; P=.007), and facilitating conditions (4.22, SD 0.48 vs 3.65, SD 0.70; P<.001). On the basis of 16 in-depth interviews, it was recognized that health care professionals play an important role in supporting patients with T2DM in using apps. However, respondents noticed that their health care professionals were often not supportive of the use of apps for managing diabetes, did not show interest, or did not talk about apps. Reimbursement by insurance companies was mentioned as a missing facilitator.

Conclusions

Empowering health care professionals’ engagement is of utmost importance in supporting patients with T2DM in the use of apps. Insurance companies can play a role in facilitating the use of diabetes apps by ensuring reimbursement.

Smartphone and mHealth Use After Stroke: Results From a Pilot Survey

Advances in smartphone technology have revolutionized health care providing innovative approaches to improve health and well-being. Emerging mobile health (mHealth) apps are becoming increasingly available and offer opportunities to support self-management needs in people with stroke; however, experiences with mHealth among this population are not well understood. The objective of this study is to conduct a cross-sectional survey on smartphone and mHealth app use for adults with stroke. A pilot survey of 50 adults with stroke was conducted. In all, 51% of respondents reported using their smartphone more frequently than before their stroke, and 91% reported having some degree of difficulty with its use. Respondents reported on specific challenges with app use and discussed desired content and features. Occupational therapists should familiarize themselves with valid, accessible, usable, and acceptable apps for people with stroke and consider implementing mHealth apps in self-management intervention plans to improve health, rehabilitation, and community integration outcomes in this population.

Understanding Adoption and Preliminary Effectiveness of a Mobile App for Chronic Pain Management Among US Military Veterans: Pre-Post Mixed Methods Evaluation

Background

The Veterans Health Administration Pain Coach mobile health app was developed to support veterans with chronic pain.

Objective

Our objective was to evaluate early user experiences with the Pain Coach app and preliminary impacts of app use on pain-related outcomes.

Methods

Following a sequential, explanatory, mixed methods design, we mailed surveys to veterans at 2 time points with an outreach program in between and conducted semistructured interviews with a subsample of survey respondents. We analyzed survey data using descriptive statistics among veterans who completed both surveys and examined differences in key outcomes using paired samples t tests. We analyzed semistructured interview data using thematic analysis.

Results

Of 1507 veterans invited and eligible to complete the baseline survey, we received responses from 393 (26.1%). These veterans received our outreach program; 236 (236/393, 60.1%) completed follow-up surveys. We conducted interviews with 10 app users and 10 nonusers. Among survey respondents, 10.2% (24/236) used Pain Coach, and 58% (14/24) reported it was easy to use, though interviews identified various app usability issues. Veterans who used Pain Coach reported greater pain self-efficacy (mean 23.1 vs mean 16.6; P=.01) and lower pain interference (mean 34.6 vs mean 31.8; P=.03) after (vs before) use. The most frequent reason veterans reported for not using the app was that their health care team had not discussed it with them (96/212, 45.3%).

Conclusions

Our findings suggest that future efforts to increase adoption of Pain Coach and other mobile apps among veterans should include health care team endorsement. Our findings regarding the impact of Pain Coach use on outcomes warrant further study.

Development of a framework to promote rural health workforce capability through digital solutions: A qualitative study of user perspectives

A high-quality, sustained, health workforce contributes to a healthy population. However, a global reality is that rural health services, and the workforces that provide those services, are under unprecedented pressure. It is posited that improving a rural health practitioners' capability could help to retain them working rurally for longer. Capability refers to skills and experience and the extent to which individuals can adapt to change, generate new knowledge and continue to improve their performance. With rapidly increasing access to, and use of, digital technology worldwide, there are new opportunities to build capability and leverage personal and professional support for those who are working rurally. In 2021, semi-structured interviews were conducted in rural Australia with thirteen General Practitioners and allied health professionals. Thematic analysis was adopted to analyse the data and map it to the Health Information Technology Acceptance Model. Whilst it could be assumed that low technology literacy would act as a barrier to the use of digital tools, the study demonstrated that this was not a significant impediment to participants' willingness to adopt digital tools when social and professional networks weren't available face to face to address their capability challenges. The findings provide insight into the concept of health workforce capability and important considerations when designing capability support. This includes key features of health apps or digital tools to support the capability of the rural health workforce. Understanding the factors that make up a health professionals' capability and the motivations or cues to act to build or maintain their capability may have a positive effect on their retention in a rural location.

Patient-Support Program in Diabetes Care During the Covid-19 Pandemic: An Italian Multicentric Experience

PURPOSE

Telephone coaching and health apps are effective means to support subjects with diabetes. Patient support programs (PSP) on type 2 diabetes are scanty, and none has been conducted in Italy. In a pilot phase, conducted during the COVID-19 pandemic, we aimed to examine the feasibility and acceptance of such program.

METHODS

The "BE THere for diabetes CARE" (BETHCARE) project is a real-world PSP conducted through telephone and digital coaching system to provide educational and emotional support to Italian adults with diabetes receiving long-acting basal insulin degludec. This pilot phase was conducted in 11 centres that enrolled a total of 63 patients (89% with type-2 diabetes). Counselors contacted patients to define a set of emotional, physical and nutritional targets, and monitoring calls were performed on a monthly basis. Data were collected on socio-demographic and anthropometric characteristics, selected clinical information, quality of life, achievement of targets and patient satisfaction.

RESULTS

Fifty-eight subjects (92%) chose to participate by telephone and 5 (8%) by mobile app. Most participants (ie, ≥80%) evaluated counselors' calls "useful/very useful", duration of calls "adequate/adequately long", were satisfied with the educational pathway and declared to be more confident in diabetes management after the program. About half of participants were confident to maintain their targets after the PSP. Achievement of nutritional targets improved during counseling, from a mean score of 1.56 at week 1 to 1.88 at week 16 (p-value = 0.03). No significant variations in the achievement of emotional and physical targets emerged. Mean patients weight decreased from 84.9 kg (week 1) to 84.3 kg (week 4) and then levelled off (84.2 kg, week 16).

CONCLUSION

This project demonstrated the feasibility and patient appreciation of a PSP in diabetes care, which is particularly important for a chronic disease of the elderly and during a pandemic period when face-to-face counseling is problematic.

Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review

Advice on dietary intake is an essential first line intervention for the management of gestational diabetes mellitus (GDM). Digital tools such as web-based and smartphone apps have been suggested to provide a novel way of providing information on diet for optimal glucose regulation in women with GDM. This systematic review explores the effectiveness and usability of digital tools designed to support dietary self-management of GDM. A systematic search of Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, and Scopus using key search terms identified 1476 papers reporting research studies, of which 16 met the specified inclusion criteria. The quality of the included studies was assessed using the ErasmusAGE Quality Score or the Mixed Methods Appraisal Tool (MMAT) version 2018. The findings show that the adoption of digital tools may be an effective approach to support self-management relating to healthy diet, health behaviour, and adherence to therapy in women with GDM as a usable intervention. However, there is a lack of evidence concerning the effectiveness of tools to support the dietary management of GDM. Consideration for ethnic specific dietary advice and evidence-based frameworks in the development of effective digital tools for dietary management of GDM should be considered as these aspects have been limited in the studies reviewed.

Smartphone-Based mHealth and Internet of Things for Diabetes Control and Self-Management

In patients with chronic diseases condition, mobile health monitoring facility proves to play a significant role in providing significant assistance toward personal management. This research examined the use of smartphones by diabetes patients and their intentions to apply them for self-care and monitoring as well as management. This cross-sectional survey-based study was conducted in Jul-Aug 2021 with 200 diabetic patients (especially type 2) who were visiting specialized clinics and hospitals of Gujrat state, India. A validated questionnaire survey was designed to collect data, which included questions about demographics, information pertaining to other, use of cellphones, the Internet, and the intention to implement smartphones for diabetes monitoring, self-care, and self-management. A highest number of studied participants have mobile phone (97.5%) and smartphones (87%) and access the Internet on daily basis (83.5%). Younger participants were more inclined to use smartphone apps and have also shown more interest for continuous use in the future (p < 0.01). The majority of participants used apps for nutritional planning (85.5%), to monitor glucose control (76.5%), and for scheduling of diabetes appointments on the calendar (90.5%). Recommendations to use mobile app by doctors or healthcare profession were reported by 20.5% of the participants and attitude and future intention to use mobile apps were reported by the majority of participants. The majority of type 2 diabetes patients choose to use their cellphones and the internet or mobile phone reminder system for medication as well as to plan their diets, monitor their blood sugar levels, and communicate with their doctors. The findings of this research can be used to develop strategies and implement mHealth-based therapies to assist patients with type 2 diabetes to efficiently manage their health and might contribute to reducing patients' out-of-pocket expenditure as well as reducing disability-adjusted life years (DAILY) attributed by DM.

An mHealth App to Support Fertility Patients Navigating the World of Infertility (Infotility): Development and Usability Study

Background

The experience of infertility and its treatment engenders considerable stress and is often described as an emotional rollercoaster. A mobile health (mHealth) app may be a novel solution to address the psychoeducational and psychosocial support needs of fertility patients because of its potential to reduce stress and increase patient empowerment. There are a few fertility-related apps that provide information and support to both men and women undergoing fertility treatment; however, none have documented their development and evaluation process.

Objective

This study aims to describe the development and evaluation process of a bilingual mHealth app, Infotility, designed to meet the psychoeducational and psychosocial support needs of men and women undergoing fertility treatment.

Methods

To develop the Infotility app, we adhered to the Medical Research Council guidelines for the development and evaluation of complex interventions. First, we conducted literature reviews and needs assessment surveys of fertility patients and health care providers who informed the content and design of the app. Second, we tested the intervention with a small group of end users who provided feedback on the design and appropriateness of the app’s content. Third, we evaluated the uptake and usability of the app using a pre-post study design. Finally, we updated the app’s content based on participants’ feedback and searched for partners to disseminate the app to the broader public.

Results

This study is the first to describe the development and evaluation process of an mHealth app for men and women undergoing fertility treatment. The app met its goal in providing fertility patients with a clinician-approved, portable resource for reliable information about medical and psychosocial aspects of infertility and its treatments and a confidential peer support forum monitored by trained peer supporters. Participants rated the engagement, functionality, information, and esthetics of the app positively, with an overall app quality mean score of 3.75 (SD 0.53) and a star rating of 3.43 (SD 0.75), with a total possible score and star rating of 5.00.

Conclusions

By documenting the systematic development and evaluation of the mHealth app for men and women undergoing fertility treatment, this paper can facilitate the replication of the study intervention and the development of similar mHealth apps.

Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan

Background: Drug reference apps promote self-management and improve the efficiency and quality of work for physicians, nurses, pharmacists, and patients. This study aimed to describe a systematic and stepwise process to identify drug reference apps in Taiwan, assess the quality of these apps, and analyze the influential factors for user ratings. Methods: A two-step algorithm (KESS) consisting of keyword growing and systematic search was proposed. Seven independent reviewers were trained to evaluate these apps using Mobile App Rating Scale (MARS). A logistic regression model was fitted and average marginal effects (AME) were calculated to identify the effects of factors for higher user ratings. Results: A total of 23 drug reference apps in Taiwan were identified and analyzed. Generally, these drug reference apps were evaluated as acceptable quality with an average MARS score of 3.23. Higher user engagement, more functionality, better aesthetics, and more information associated with higher user ratings. Navigation is the most influential factor on higher user ratings (AME: 13.15%) followed by performance (AME: 11.03%), visual appeal (AME: 10.87%), credibility (AME: 10.67%), and quantity of information (AME: 10.42%). Conclusions: User experience and information clearly affect user ratings of drug reference apps. Five key factors should be considered when designing drug reference apps.

Independent Use of a Home-Based Telemonitoring App by Older Patients With Multimorbidity and Mild Cognitive Impairment: Qualitative Study

BACKGROUND

The management of multimorbidity is complex and patients have a high burden of disease. When symptoms of dementia also appear, it becomes even more difficult for patients to cope with their everyday lives and manage their diseases. Home-based telemonitoring may support older patients with multimorbidity and mild cognitive impairment (MCI) in their regular monitoring and self-management. However, to date, there has been no investigation into whether patients with MCI are able to operate a telemonitoring app independently to manage their own diseases. This question has become even more important during the current COVID-19 pandemic to maintain high-quality medical care for this patient group.

OBJECTIVE

We examined the following research questions: (1) How do patients with MCI assess the usability of the telemonitoring app? (2) How do patients with MCI assess the range of functions offered by the telemonitoring app? (3) Was there an additional benefit for the patients with MCI in using the telemonitoring app? (4) Were patients with MCI able to use the telemonitoring app independently and without restrictions? (5) To what extent does previous experience with smartphones, tablets, or computers influence the perceived ease of use of the telemonitoring app?

METHODS

We performed a formative evaluation of a telemonitoring app. Therefore, we carried out a qualitative study and conducted guided interviews. All interviews were audio-recorded, transcribed verbatim, and analyzed using the Mayring method of structured content analysis.

RESULTS

Twelve patients (8 women, 4 men) were interviewed; they had an average age of 78.7 years (SD 5.6) and an average Mini-Mental State Examination score of 24.5 (SD 1.6). The interviews lasted between 17 and 75 minutes (mean 41.8 minutes, SD 19.4). Nine patients reported that the telemonitoring app was easy to use. All respondents assessed the range of functions as good or adequate. Desired functionalities mainly included more innovative and varied educational material, better fit of the telemonitoring app for specific needs of patients with MCI, and a more individually tailored content. Ten of the 12 patients stated that the telemonitoring app had an additional benefit for them. Most frequently reported benefits included increased feeling of security, appreciation of regular monitoring of vital parameters, and increased independence due to telemonitoring. Eight patients were able to operate the app independently. Participants found the app easy to use regardless of whether they had prior experience with smartphones, tablets, or computers.

CONCLUSIONS

The majority of examined patients with MCI were capable of operating the telemonitoring app independently. Crucial components in attaining independent use were comprehensive personal support from the start of use and appropriate design features. This study provides initial evidence that patients with MCI could increasingly be considered as a relevant user group of telemonitoring apps.

Atrial fibrillation self-management: a mobile telephone app scoping review and content analysis

Atrial fibrillation (AF) affects over 1.4 million people in the UK, resulting in a five-fold increased stroke risk and a three to four times greater risk of severe, disabling stroke. Atrial fibrillation, a chronic disease, requires monitoring, medication, and lifestyle measures. A self-management approach supported by mobile health (mHealth) may empower AF self-care. To assess the need to develop new mHealth self-management interventions for those with AF this review aimed to identify commercially available AF self-management apps, analyse, and synthesize (i) characteristics, (ii) functions, (iii) privacy/security, (iv) incorporated behaviour change techniques (BCTs), and (v) quality and usability. We searched app stores for 'atrial fibrillation' and 'anticoagulation', and included apps focused on AF self-management in the review. We examined app functions, privacy statements against best practice recommendations, the inclusion of BCTs using the App Behaviour Change Scale, and app quality/usability using the Mobile App Rating Scale. From an initial search of 555 apps, five apps were included in the review. Common functions were educational content, medication trackers, and communication with healthcare professionals. Apps contained limited BCTs, lacked intuitive functions and were difficult to use. Privacy policies were difficult to read. App quality rated from poor to acceptable and no app had been evaluated in a clinical trial. The review reports a lack of commercially available AF self-management apps of sufficient standard for use in healthcare settings. This highlights the need for clinically validated mHealth interventions incorporating evidence-based BCTs to support AF self-management.

Point-of-Care Ultrasound (POCUS) in the Field of Diabetology

Ultrasound is increasingly used in daily clinical practice to improve the efficiency of the clinical examination. In this article, we reviewed its various possible uses in the field of diabetology. The ultrasonic evaluation of the carotid arteries (plaques and intima media thickness) allows improving the assessment of the cardiovascular risk. Steatosis can be detected relatively easily on liver ultrasound. Ultrasound also allows a more sensitive detection of lipohypertrophy resulting in glycemic fluctuations and thus increasing the risk of hypoglycemia than the clinical examination. Finally, muscle ultrasound appears to be a promising tool to assess the nutritional status and its consequences (e.g., falls).

Patient Preference and Satisfaction with the Use of Telemedicine for Glycemic Control in Patients with Type 2 Diabetes: A Review

BACKGROUND

Telemedicine has the potential to improve patient care and management for various chronic diseases such as type 2 diabetes. To ensure the success of any telemedicine program, there is a need to understand the patients' satisfaction and their preferences. This review aims to collate and provide evidence related to practices that may influence the performance of telemedicine for patients with type 2 diabetes.

METHODS

We searched three electronic databases for studies examining patients' satisfaction and preferences for using telemedicine in type 2 diabetes. An evaluation matrix was developed to collect the data from the included articles. A total of 20 articles were identified and data on the key outcomes identified were narratively synthesized.

RESULTS

Patients were generally satisfied with the use of telemedicine for management of type 2 diabetes. Users reported that telemedicine was beneficial as it provided constant monitoring, improved access to healthcare providers, and reduced waiting time. When adopting a telemedicine platform, most patients expressed preference for mobile health (mHealth) as the telemedicine modality, especially if it has been endorsed by their physician. To improve usability and sustainability, patients suggested that modules related to diabetes education be enhanced, together with sufficient technical and physician support when adopting telemedicine. Patients also expressed the importance of having a sufficiently flexible platform that could be adapted to their needs.

CONCLUSION

Personalized telemedicine strategies coupled with appropriate physician endorsement greatly influences a patient's decision to undertake telemedicine. Future work should focus on improving telemedicine infrastructure and increasing physician's involvement, especially during the implementation phase.

A Clinical Journey Mobile Health App for Perioperative Patients: Cross-sectional Study

Background

Mobile eHealth apps are important tools in personal health care management. The Patient Journey app was developed to inform patients with musculoskeletal disorders during their perioperative period. The app contains timely information, video exercises, and functional tasks. Although the Patient Journey app and other health apps are widely used, little research is available on how patients appreciate these apps.

Objective

The primary aim of this study was to evaluate the user-friendliness of the Patient Journey app in terms of its usability and the attitudes of users toward the app. The secondary aim was to evaluate positive and negative user experiences.

Methods

A web-based questionnaire was sent to 2114 patients scheduled for surgery for a musculoskeletal disorder. Primary outcomes were usability (measured with the System Usability Scale) and user attitudes regarding the Patient Journey app (assessed with the second part of the eHealth Impact Questionnaire). The secondary outcomes were evaluated with multiple choice questions and open-ended questions, which were analyzed via inductive thematic content analyses.

Results

Of the 940 patients who responded, 526 used the Patient Journey app. The usability of the app was high (System Usability Scale: median 85.0, IQR 72.5-92.5), and users had a positive attitude toward the Information and Presentation provided via the app (eHealth Impact Questionnaire: median 78.0, IQR 68.8-84.4). The app did not adequately improve the users’ confidence in discussing health with others (eHealth Impact Questionnaire: median 63.9, IQR 50.0-75.0) or motivation to manage health (eHealth Impact Questionnaire: median 61.1, IQR 55.6-72.2). Three core themes emerged regarding positive and negative user experiences: (1) content and information, (2) expectations and experiences, and (3) technical performance. Users experienced timely information and instructions positively and found that the app prepared and guided them optimally through the perioperative period. Negative user experiences were overly optimistic information, scarcely presented information about pain (medication), lack of reference data, insufficient information regarding clinical course deviations and complications, and lack of interaction with clinicians.

Conclusions

The Patient Journey app is a usable, informative, and presentable tool to inform patients with musculoskeletal disorders during their perioperative period. The qualitative analyses identified aspects that can further improve the user experiences of the app.

Self-management of diabetes and associated comorbidities in rural and remote communities: a scoping review

Chronic health conditions are more prevalent in rural and remote areas than in metropolitan areas; living in rural and remote areas may present particular barriers to the self-management of chronic conditions like diabetes and comorbidities. The aims of this review were to: (1) synthesise evidence examining the self-management of diabetes and comorbidities among adults living in rural and remote communities; and (2) describe barriers and enablers underpinning self-management reported in studies that met our inclusion criteria. A systematic search of English language papers was undertaken in PsycINFO, Medline Complete, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Complete, EMBASE and the Cochrane Database of Systematic Reviews, searching for literature indexed from the beginning of the database until 6 March 2020. Essential key concepts were diabetes, comorbidities, self-management and rural or remote. Twelve studies met the inclusion criteria. Six of these reported interventions to promote self-management for adults with diabetes in rural and remote communities and described comorbidities. These interventions had mixed results; only three demonstrated improvements in clinical outcomes or health behaviours. All three of these interventions specifically targeted adults living with diabetes and comorbidities in rural and remote areas; two used the same telehealth approach. Barriers to self-management included costs, transport problems and limited health service access. Interventions should take account of the specific challenges of managing both diabetes and comorbidities; telehealth may address some of the barriers associated with living in rural and remote areas.

Evaluation of two mobile health apps for patients with breast cancer using the Mobile Application Rating Scale

BACKGROUND

Breast cancer is one of the most frequently diagnosed cancers worldwide. Screening, education about signs and symptoms, and improved access to treatment has helped reduce mortality. An understanding of the informational needs of women with breast cancer can help identify areas where mobile apps can further improve the experience of this patient group.

METHODS

Personas are a commonly used tools in user centred design to help represent particular user archetypes. Knowledge of existing informational needs and prior research using personas in breast cancer app design were used to create two different personas through which to source apps for evaluation. The Mobile Application Rating Scale, a common evaluation framework, was used to evaluate the mobile apps across several important domains.

RESULTS

Becca and OWise, two apps for breast cancer, were found through a discovery process in line with the personas described. Overall, both apps scored highly on the Mobile Application Rating Scale. Both apps had limited or no research to support their use in this patient group, and had issues related to data privacy. Becca scored particularly highly in domains related to accessibility while OWise's extensive range of features scored highly for functionality.

CONCLUSIONS

Both apps demonstrate the ability to fill an informational needs gap as evidenced in the existing literature. As with many mobile health apps, more clinical evidence and improved data handling would help support the widespread recommendation of their use in women who are undergoing or have completed treatment for breast cancer.

Identifying features of a mobile-based application for self-care of people living with T2DM

INTRODUCTION

Diabetes self-care requires support to empower patients to improve self-monitoring and maintain the necessary self-care behaviors. We aimed to identify features of a mobile-based application as a technology-based device for self-care of people living with T2DM.

METHOD

This study was conducted in two main phases in 2020. In the first phase, a literature review study was performed to identify the data elements and technical features of the T2DM self-care application. In the second phase, using the information obtained from the review of similar articles, a questionnaire was designed to validate identified requirements. The statistical population of the present study consisted of 22 endocrinologists and metabolic specialists.

RESULTS

Identification of 55 data elements and technical features for mobile-based self-care application for people with T2DM, and according to the statistical population, 15data elements for demographic requirements, 16 data elements for clinical requirements, and 17 features for the technical capability of this app were selected.

CONCLUSION

Blood sugar monitoring, exercise, nutrition, weight monitoring, and educational capabilities were the most highlighted technical features of the T2DM self-care application. Software designers can use these requirements to design a self-care app for people with type-2 diabetes that can help manage and improve patients' health status.

Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial

BACKGROUND

Carbohydrate counting is an important component of diabetes management, but it is challenging, often performed inaccurately, and can be a barrier to optimal diabetes management. iSpy is a novel mobile app that leverages machine learning to allow food identification through images and that was designed to assist youth with type 1 diabetes in counting carbohydrates.

OBJECTIVE

Our objective was to test the app's usability and potential impact on carbohydrate counting accuracy.

METHODS

Iterative usability testing (3 cycles) was conducted involving a total of 16 individuals aged 8.5-17.0 years with type 1 diabetes. Participants were provided a mobile device and asked to complete tasks using iSpy app features while thinking aloud. Errors were noted, acceptability was assessed, and refinement and retesting were performed across cycles. Subsequently, iSpy was evaluated in a pilot randomized controlled trial with 22 iSpy users and 22 usual care controls aged 10-17 years. Primary outcome was change in carbohydrate counting ability over 3 months. Secondary outcomes included levels of engagement and acceptability. Change in HbA1c level was also assessed.

RESULTS

Use of iSpy was associated with improved carbohydrate counting accuracy (total grams per meal, P=.008), reduced frequency of individual counting errors greater than 10 g (P=.047), and lower HbA1c levels (P=.03). Qualitative interviews and acceptability scale scores were positive. No major technical challenges were identified. Moreover, 43% (9/21) of iSpy participants were still engaged, with usage at least once every 2 weeks, at the end of the study.

CONCLUSIONS

Our results provide evidence of efficacy and high acceptability of a novel carbohydrate counting app, supporting the advancement of digital health apps for diabetes care among youth with type 1 diabetes. Further testing is needed, but iSpy may be a useful adjunct to traditional diabetes management.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04354142; https://clinicaltrials.gov/ct2/show/NCT04354142.

The effect of diabetes education and short message service reminders on metabolic control and disease management in patients with type 2 diabetes mellitus

AIM

The aim of this study was to evaluate the effect of diabetes education and short message service reminders on metabolic control and disease management in patients with type 2 diabetes mellitus who were registered in a family health center and who were using oral antidiabetics.

METHODS

This pre-test and post-test control group interventional study was conducted between 2017 and 2019. For one-way analysis of variance, effect size=0.40, α=0.05 and 80% power for each group was considered to be appropriate for 48 participants. Considering probability of losses during the study, 101 patients with type-2 DM were selected to include in the study. At the beginning of the study of all the patients, metabolic (HbA1c, FBS, triglycerides, cholesterol, HDL, LDL), anthropometric (BMI), blood pressure (BP) and scales assessments were performed. The Follow-Up Form for Patients with Diabetes, Diabetes Self-Care Scale (DSCS) and World Health Organization (WHO) (5) Goodness Scale were used as data collection tools. In the study, the structured group-based education program consisting of five modules was given to the intervention group in two sessions. Immediately after the education program, short message reminders about diabetes management were sent twice a week for a six-month period to intervention group. During the study, each group was invited to the family health center to perform the third- and sixth-month evaluations. Data were analyzed by SPSS version 19. In the study, categorical variables were evaluated with Chi-squared test. The differences of the groups over time were evaluated using the Friedman test and binary comparisons of differences by Wilcoxon test. The changes among groups over time were evaluated by Mann-Whitney test.

RESULTS

In the evaluations for the third and sixth months, it was found that there was a statistically significant difference between the intervention and control groups in terms of HbA1c, fasting blood sugar, lipid values (except triglycerides), blood pressure, body mass index and the scales results (p<0.001).

CONCLUSION

Diabetes education and SMS reminders sent for six months were effective in improving metabolic control and disease management in patients with type 2 diabetes mellitus.

Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective

Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the m-health for providing an effective healthcare system. Various types of data such as electronic health records (EHRs), medical images, and complicated text which are diversified, poorly interpreted, and extensively unorganized have been used in the modern medical research. This is an important reason for the cause of various unorganized and unstructured datasets due to emergence of mobile applications along with the healthcare systems. In this paper, a systematic review is carried out on application of AI and the big data analytics to improve the m-health system. Various AI-based algorithms and frameworks of big data with respect to the source of data, techniques used, and the area of application are also discussed. This paper explores the applications of AI and big data analytics for providing insights to the users and enabling them to plan, using the resources especially for the specific challenges in m-health, and proposes a model based on the AI and big data analytics for m-health. Findings of this paper will guide the development of techniques using the combination of AI and the big data as source for handling m-health data more effectively.

Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study

BACKGROUND

Self-monitoring is key to successful behavior change in diabetes and obesity, and the use of traditional paper-based methods of self-monitoring may be time-consuming and burdensome.

OBJECTIVE

This study aimed to explore participant experiences while using technology-assisted self-monitoring of lifestyle behaviors and health indicators among overweight or obese adults with type 2 diabetes.

METHODS

Qualitative data collected from the intervention group of a 6-month, three-arm (control, paper diary, and technology-assisted self-monitoring groups) randomized clinical trial were analyzed. Study participants in the intervention group monitored their diet, exercise, and weight using the LoseIt! app, and their blood glucose levels using a glucometer and the Diabetes Connect app. Semistructured group discussions were conducted at 6 weeks (n=10) from the initiation of the behavioral lifestyle intervention and again at 6 months (n=9). All group interviews were audiotaped and transcribed verbatim. Using a combination of thematic and comparative analysis approaches, two trained professionals coded the transcriptions independently and then discussed and concluded common themes for the 6-week and 6-month discussions separately.

RESULTS

The sample (n=10), which primarily involved African American participants (n=7) and female participants (n=8), had a mean age of 59.4 years. The following eight themes emerged: (1) perceived benefits of technology-assisted self-monitoring; (2) perceived ease of use (eg, barriers: technical difficulties and lack of self-discipline; facilitators: help from family, friends, and the program); (3) use of technology-assisted self-monitoring; (4) facilitators of engaging in healthy lifestyle behaviors (eg, visualization and awareness of calorie input/expenditure); (5) positive lifestyle change; (6) barriers of engaging in healthy lifestyle behaviors (eg, event influence); (7) learning curve; and (8) monitored data sharing. The first six of these themes were shared between the 6-week and 6-month timepoints, but the codes within these themes were not all the same and differed slightly between the two timepoints. These differences provide insights into the evolution of participant thoughts and perceptions on using technology for self-monitoring and subsequent behavioral lifestyle changes while participating in lifestyle interventions. The findings from the 6-week and 6-month data helped to paint a picture of participant comfort and the integration of technology and knowledge overtime, and clarified participant attitudes, difficulties, behavioral processes, and modifications, as well as health indicators that were experienced throughout the study.

CONCLUSIONS

Although there were some barriers, participants were able to identify various individual and external facilitators to adjust to and engage in technology-assisted self-monitoring, and it was concluded that the technology-assisted self-monitoring approach was beneficial, safe, and feasible to use for positive lifestyle change. These patient perspectives need to be considered in future research studies when investigating the effectiveness of using technology-assisted self-monitoring, as well as in clinical practice when recommending technology-assisted self-monitoring of lifestyle behaviors and health indicators to improve health outcomes.

Telehealth in the Context of COVID-19: Changing Perspectives in Australia, the United Kingdom, and the United States

Background

On March 12, 2020, the World Health Organization declared the coronavirus disease (COVID-19) outbreak a pandemic. On that date, there were 134,576 reported cases and 4981 deaths worldwide. By March 26, 2020, just 2 weeks later, reported cases had increased four-fold to 531,865, and deaths increased five-fold to 24,073. Older people are both major users of telehealth services and are more likely to die as a result of COVID-19.

Objective

This paper examines the extent that Australia, the United Kingdom, and the United States, during the 2 weeks following the pandemic announcement, sought to promote telehealth as a tool that could help identify COVID-19 among older people who may live alone, be frail, or be self-isolating, and give support to or facilitate the treatment of people who are or may be infected.

Methods

This paper reports, for the 2-week period previously mentioned and immediately prior, on activities and initiatives in the three countries taken by governments or their agencies (at national or state levels) together with publications or guidance issued by professional, trade, and charitable bodies. Different sources of information are drawn upon that point to the perceived likely benefits of telehealth in fighting the pandemic. It is not the purpose of this paper to draw together or analyze information that reflects growing knowledge about COVID-19, except where telehealth is seen as a component.

Results

The picture that emerges for the three countries, based on the sources identified, shows a number of differences. These differences center on the nature of their health services, the extent of attention given to older people (and the circumstances that can relate to them), the different geographies (notably concerned with rurality), and the changes to funding frameworks that could impact these. Common to all three countries is the value attributed to maintaining quality safeguards in the wider context of their health services but where such services are noted as sometimes having precluded significant telehealth use.

Conclusions

The COVID-19 pandemic is forcing changes and may help to establish telehealth more firmly in its aftermath. Some of the changes may not be long-lasting. However, the momentum is such that telehealth will almost certainly find a stronger place within health service frameworks for each of the three countries and is likely to have increased acceptance among both patients and health care providers.

Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study

Background

Many technology-assisted innovations have been used to manage disease. However, most of these innovations are not broadly used by older adults due to their cost. Additionally, disease management through technology-assisted innovations has not been compared with other interventions.

Objective

In this study, we tested the employment of a free and widely used social and communication app to help older adults with diabetes manage their distress and glycemic control. We also compared the effectiveness of the app with 2 other methods, namely telephone and conventional health education, and determined which subgroup experiences the most effects within each intervention.

Methods

Adults aged ≥50 years with type 2 diabetes were recruited from Southern Taiwan (N=231) and were allocated to different 3-month interventions. Informed consent was obtained at the Ministry of Science and Technology and approved by the National Cheng Kung University Hospital Institutional Review Board (No. A-ER-102-425).

Results

Participants in the mobile-based group had significant reductions in hemoglobin A1c compared with the telephone-based and usual care groups (mean changes of –0.4%, 0.1%, and 0.03%, respectively; P=.02). Diabetes-specific distress decreased to a greater extent in the mobile-based group compared to the other 2 groups (mean changes of –5.16, –3.49, and –2.44, respectively, P=.02). Subgroup analyses further revealed that the effects on reducing blood glucose levels in the social and communication app groups were especially evident in patients with lower distress scores, and diabetes-related distress was especially evident in participants who were younger than 60 years or had higher educational levels.

Conclusions

The findings of this study inform more flexible use of social and communication apps with in-person diabetes education and counselling.

eHealth systems for the optimised care of patients with type 2 diabetes

BACKGROUND

Type 2 diabetes mellitus is one of the most common diseases worldwide. The demands on health services are rising as more people are diagnosed with the condition. In order to meet this demand, eHealth systems are increasingly being integrated into nursing care.

METHODS

Between November 2018 and February 2019, a literature search was carried out in the databases PubMed and CINAHL.

RESULTS

Twenty articles were found on nurses' use of eHealth systems, the majority with patients with diabetes. From this research, it would seem that eHealth systems have had a proven positive influence on patients' state of health and understanding of therapy. Subjectively perceived communication with the nursing staff also improved. Problems can arise in the implementation phase.

CONCLUSION

In the future, increasingly, nurses will have to integrate eHealth systems into the treatment of patients with type 2 diabetes. It is important that nurses understand such systems in order to guarantee a sustainable and successful implementation.