Mobile application for diabetes self-management in China: Do they fit for older adults?

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

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

mHealth App to improve medication adherence among older adult stroke survivors: Development and usability study

Background

Effective medication adherence is vital for older adult stroke survivors, yet 20-33% cease treatment within a year post-discharge, increasing risks of recurrent strokes and mortality. A mobile health (mHealth) app could be a novel tool to improve medication adherence among stroke survivors because of its potential to increase patient empowerment. A few stroke-related apps provide information and support to stroke survivors. However, none have focused on medication adherence and documented their development and evaluation process, particularly those focused on this older population.

Objective

This study aims to design and develop a smartphone app called OASapp to improve medication adherence among older adult stroke survivors and evaluate its usability.

Methods

OASapp was developed in a three-phase development process. Phase 1 is the exploration phase (including a cross-sectional survey, a systematic review, a search for stroke apps on the app stores of Apple App Store and Google Play Store, and a nominal group technique). In phase 2, a prototype was designed based on the Health Belief Model and Technology Acceptance Model. In phase 3, Alpha and Beta testing was conducted to validate the app.

Results

Twenty-five features for inclusion in the app were collected in round one, and 14 features remained and were ranked by the participants during nominal group technique. OASapp included five core components (medication management, risk factor management, health information, communication, and stroke map). Users of OASapp were satisfied based on reports from Alpha and Beta testing. The mean Usability Metric for User Experience (UMUX) score was 71.4 points (SD 14.6 points).

Conclusion

OASapp was successfully developed using comprehensive, robust, and theory-based methods and was found to be highly accepted by users. Further research is needed to establish the clinical efficacy of the app so that it can be utilized to improve clinically relevant outcomes.

Smartphone-Based Cardiac Rehabilitation Program Improves Functional Capacity in Coronary Heart Disease Patients: A Systematic Review and Meta-Analysis

Cardiac rehabilitation (CR) reduces mortality and morbidity in coronary heart disease (CHD); however, patients show a lack of adherence to CR. Alternatively, telehealth interventions have shown promising results for improving target outcomes in CR. This study aimed to review the effect of smartphone-based CR on the functional capacity of CHD patients. A literature search was performed using PubMed, MEDLINE, Embase, and Cochrane Library on 21 March, 2022 to find randomised controlled trials on smartphone usage in CR to improve functional capacity. Outcomes included maximal oxygen consumption (VO2 max), a 6-min walk test (6-MWT), quality of life, smoking cessation, and modifiable risk factors. Eleven trials recruiting CHD patients were reviewed. Wearable devices connected to smartphone- or chat-based applications were commonly used for CR delivery. Most trials managed to provide exercise prescriptions, education on medication adherence and controlling risk factors, and psychosocial counselling through the intervention. Functional capacity improved significantly following smartphone-based CR in CHD patients compared to control groups, as measured by VO2 max and 6-MWT; patients were more likely to quit smoking. Compared to traditional care, smartphones that delivered CR to CHD patients demonstrate superior outcomes regarding increasing functional capacity. There is no significant improvement on lipid profile, blood pressure, HbA1C, body mass index, and quality of life. It can be used either alone or as an adjunct. Ultimately, the patients' preferences and circumstances should be considered.

Analysis of patient medication compliance and quality of life of physician-pharmacist collaborative clinics for T2DM management in primary healthcare in China: A mixed-methods study

Background: Physician-pharmacist collaboration is a well-established care mode for the management of type 2 diabetes mellitus (T2DM) in developed countries, but no study has been conducted in primary healthcare in China. This study aims to evaluate the effects of physician-pharmacist collaborative clinics to manage T2DM in primary healthcare in China, and to better understand the factors influencing the implementation of physician-pharmacist collaborative clinics. Methods: Two hundred and sixty-seven patients involved in a 12-month randomized controlled trial were assigned to physician-pharmacist collaborative clinics and usual clinics, completing surveys regarding medication compliance, quality of life (QoL) and care-seeking behavior at the baseline, 3rd, 6th, 9th and 12th month respectively, and diabetes knowledge at baseline and 12th month. A sample of twenty-two Patients, nine physicians and twelve pharmacists participated in semi-structured face-to-face interviews. The quantitative and qualitative data was integrated by triangulation. Results: Patients in physician-pharmacist collaborative clinics had significant improvements in medication compliance (p = 0.009), QoL (p = 0.036) and emergency visits (p = 0.003) over the 12-month. Pairwise comparison showed the medication compliance score in the intervention group had been significantly improved at 3rd month (p = 0.001), which is more rapidly than that in the control group at 9th month (p = 0.030). Factors influencing the implementation of physician-pharmacist collaborative clinics were driven by five themes: pharmaceutical service, team-base care, psychological support, acceptability of care and barriers to implementation. Conclusion: Integration of quantitative and qualitative findings showed the effectiveness of physician-pharmacist collaborative clinics in patient medication compliance and QoL in primary healthcare. The qualitative study uncovered barriers in insufficient clinical experience and understaffing of pharmacist. Therefore, the professional training of the primary pharmacist team should be improved in the future. Clinical Trial Registration: clinicaltrials.gov, identifier ChiCTR2000031839.

An Overview of Online Resources for Medical Spanish Education for Effective Communication with Spanish-Speaking Patients

PHENOMENON

Despite the rapid development of virtual medical Spanish educational materials, online resources lack transparency and a peer-review process. The purpose of this interdisciplinary study was to provide a critical inventory of virtual resources for medical Spanish education, thereby providing a panorama of the current state of online medical Spanish.

APPROACH

Research team members conducted iterative searches to identify medical Spanish online resources, which were then screened for predetermined inclusion/exclusion criteria. Between June and August 2020, a panel of medical and language experts then adapted and applied a previously published evaluation tool to determine whether resources that met study criteria would help learners achieve medical Spanish core competencies and to what extent each resource incorporated communicative language activities. Consensus meetings were conducted to resolve disagreements and identify gaps in online education.

FINDINGS

Out of 465 resources, 127 were further screened, and eight were selected for evaluation. Medical and language specialists independently scored each resource and, following discussions, achieved consensus. Overall, no resource met suitability criteria for all five medical Spanish learner competencies or cultural elements, and only one was suitable for achieving the self-assessment competency.

INSIGHTS

Interdisciplinary consensus meetings provide an important avenue for resolving differences of opinion and for integrating both language and medical perspectives into the evaluation process. Existing online resources should be used in conjunction with other materials to ensure that all core competencies for medical Spanish education are addressed. This study revealed important gaps in online resources, including a need to target advanced Spanish learners, apply authentic communicative activities, include assessment opportunities, and integrate culture in the learning program. Based on the current state of online medical Spanish, we offer recommendations for future resources.

A mHealth-based nursing model for assessing the health outcomes of the discharged patients with nasopharyngeal carcinoma: a pilot RCT

Background

Nasopharyngeal carcinoma (NPC) is one of the most common head and neck malignancies, having a high incidence in Guangxi, China. Although chemoradiotherapy offers more effective cancer treatment, it also causes a variety of acute and chronic side effects, seriously affecting the quality of life. NPC has evolved into a chronic disease with most patients opting for home-based rehabilitation. Therefore, efforts on improving the home-based extended care services to improve the quality of life of patients are booming. The Chinese government encourages the use of internet technology for expanding the prospect of nursing. This study aimed to evaluate the impact of a mHealth-based care model on the health outcomes of discharged patients with nasopharyngeal carcinoma.

Methods

An experimental design was applied for this study. The study enrolled 116 discharged patients who were re-examined in the Radiotherapy Department of the First Affiliated Hospital of Guangxi Medical University from November 2019 to February 2020. These patients were randomized into control and intervention groups (n = 58 per group), but during the implementation of the project, there was one dropout in the control group due to the loss of follow-up, and one dropout in the intervention group due to distant metastasis. In the end, 57 patients in the control and intervention groups completed the trial. The control group was subjected to routine discharge guidance and follow-up, while the experimental group was implemented with a mobile health (mHealth)-based continuous nursing intervention model. The scores of the side effects, cancer fatigue, and quality of life were compared between the two groups of patients for 3, 6, and 12 months, respectively after discharge from the hospital.

Results

This study included 114 patients and there were no significant differences in the baseline data between the two groups. After 6 and 12 months of intervention, the severity of radiation toxicity and side effects, the scores of cancer-related fatigue, and quality of life (symptom field) of the patients in the interventional group were significantly lowered statistically compared to those in the control group.

Conclusion

This study is based on the mHealth continuous nursing intervention model, which can reduce the side effects of radiotherapy and cancer fatigue, and improve the quality of life.

Trial registration

This study was retrospectively registered as a randomized controlled trial in the Chinese Clinical Trial Center. Registration Date: January 12, 2021, Registration Number: ChiCTR2100042027.

Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension

The integration of motivational strategies and self-management theory with mHealth tools is a promising approach to changing the behavior of patients with chronic disease. In this manuscript, we describe the development and current architecture of a prototype voice-activated self-monitoring application (VoiS) which is based on these theories. Unlike prior mHealth applications which require textual input, VoiS app relies on the more convenient and adaptable approach of asking users to verbally input markers of diabetes and hypertension control through a smart speaker. The VoiS app can provide real-time feedback based on these markers; thus, it has the potential to serve as a remote, regular, source of feedback to support behavior change. To enhance the usability and acceptability of the VoiS application, we will ask a diverse group of patients to use it in real-world settings and provide feedback on their experience. We will use this feedback to optimize tool performance, so that it can provide patients with an improved understanding of their chronic conditions. The VoiS app can also facilitate remote sharing of chronic disease control with healthcare providers, which can improve clinical efficacy and reduce the urgency and frequency of clinical care encounters. Because the VoiS app will be configured for use with multiple platforms, it will be more robust than existing systems with respect to user accessibility and acceptability.

Self-Care Experiences of Empty-Nest Elderly Living With Type 2 Diabetes Mellitus: A Qualitative Study From China

Background

The number of type 2 diabetes mellitus (T2DM) cases among empty-nest elderly increases with increasing aging in China. Self-care plays an important role in preventing and reducing adverse outcomes of diabetes; however, few studies focus on self-care experiences of empty-nest elderly with T2DM.

Objective

To explore self-care experiences for a chronic disease among empty-nest elderly patients with T2DM in mainland China.

Methods

A descriptive phenomenological design was used in this study. Semi-structured interviews were conducted for 15 empty-nesters with T2DM. Interviews were implemented in department of endocrinology at a tertiary teaching hospital located in Shandong province, east of China.

Results

The participants were poorly adept with monitoring their blood glucose and lacked the ability to deal with abnormal blood glucose levels. Most participants had a good relationship with medication and physical activity. Living without children was perceived as a benefit that improved dietary management and is a disadvantage in terms of economic and emotional support and access to medical resources. Elderly empty-nesters also lacked knowledge about diabetes and paid little attention to potential complications.

Conclusion

Empty-nest elderly patients with T2DM value medication compliance and lifestyle modification more than blood glucose monitoring, complication prevention, and coping with negative emotions. Friends and spouses play indispensable roles in patients' self-care motivation and maintenance. Diabetes education on self-care, access to medical resources, and social support is needed for better diabetes management.

Exploring Perceptions of Technology Use to Support Self-Management Among Older Adults with Cancer and Multimorbidities

OBJECTIVES

Our objective was to explore and describe how older adults engage with technology to support cancer self-management behaviors, particularly as they live with multimorbidity.

DATA SOURCES

We used a qualitative descriptive approach and semi-structured interviews with older adults with cancer who had at least one other chronic condition. Two authors analyzed the data using a descriptive thematic analysis approach using NVivo 12 software.

CONCLUSION

We found that older adults are interested in, if not already, engaging with technology and internet searching to manage their cancer diagnosis and treatment. Data were grouped into three themes: (1) Using technology to take control; (2) Confidence in technology supports competence in self-management; and (3) Desired features for future interventions. Participants felt they might need extra support learning how to craft a search, filter facts, and digest information from the internet to manage their cancer. Those who reported using technology to keep records about their health made more statements reflecting confidence in their technology usage.

IMPLICATION FOR NURSING PRACTICE

Older adults are interested in engaging technology to support self-management. The specific implications that arise from this study are that (1) older adults' interest in engaging with technology has a unique potential to support foundations for self-management behaviors and activities and (2) empowering self-management behaviors and attitudes through technology may result in better treatment outcomes, as evidenced by increased capabilities in the six core self-management skills.

Analysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study

Background

Managing the care of older adults with heart failure (HF) largely centers on medication management. Because of frequent medication or dosing changes, an app that supports these older adults in keeping an up-to-date list of medications could be advantageous. During the COVID-19 pandemic, HF outpatient consultations are taking place virtually or by telephone. An app with the capability to share a patient’s medication list with health care professionals before consultation could support clinical efficiency, for example, by reducing consultation time. However, the influence of apps on maintaining an up-to-date medication history for older adults with HF in Ireland remains largely unexplored.

Objective

The aims of this review are twofold: to review apps with a medication list functionality and to assess the quality of the apps included in the review using the Mobile App Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality scale.

Methods

A systematic search of apps was conducted in June 2019 using the Google Play Store and iTunes App Store. The MARS was used independently by 4 researchers to assess the quality of the apps using an Android phone and an iPad. Apps were also evaluated using the IMS Institute for Healthcare Informatics functionality score.

Results

Google Play and iTunes App store searches identified 483 potential apps (292 from Google Play and 191 from iTunes App stores). A total of 6 apps (3 across both stores) met the inclusion criteria. Of the 6 apps, 4 achieved an acceptable MARS score (3/5). The Medisafe app had the highest overall MARS score (4/5), and the Medication List & Medical Records app had the lowest overall score (2.5/5). On average, the apps had 8 functions based on the IMS functionality criteria (range 5-11). A total of 2 apps achieved the maximum score for number of features (11 features) according to the IMS Institute for Healthcare Informatics functionality score, and 2 scored the lowest (5 features). Peer-reviewed publications were identified for 3 of the apps.

Conclusions

The quality of current apps with medication list functionality varies according to their technical aspects. Most of the apps reviewed have an acceptable MARS objective quality (ie, the overall quality of an app). However, subjective quality (ie, satisfaction with the apps) was poor. Only 3 apps are based on scientific evidence and have been tested previously. A total of 2 apps featured all the IMS Institute for Healthcare Informatics functionalities, and half did not provide clear instructions on how to enter medication data, did not display vital parameter data in an easy-to-understand format, and did not guide users on how or when to take their medication.

Blood Glucose Monitoring and Sharing Amongst People With Diabetes and Their Facilitators: Cross-sectional Study of Methods and Practices

BACKGROUND

The last two decades have witnessed a burgeoning rise in the prevalence of diabetes globally. It has already reached epidemic proportions in Saudi Arabia, with reported high risk among women. As a result, diabetes monitoring and self-management programs are being highly prioritized for diabetes control and management.

OBJECTIVE

To investigate measuring and sharing practices of the self-monitoring of blood glucose (SMBG) among patients with type 1 or 2 diabetes using insulin.

METHODS

A cross-sectional study was conducted on a sample of 203 patients attending primary care clinics at a tertiary care center. The questionnaire assessed the measuring, recording, and sharing of SMBG practices of patients having diabetes with their physicians. The methods used for recording and sharing were categorized into paper-based and electronic-based. In addition, the determinants of the different methods used and frequency of sharing were analyzed.

RESULTS

The overall monitoring prevalence was 95% (193/203), and 57% (117/203) of participants shared the SMBG results. Among the 193 individuals that performed self-monitoring, 138 (72%) performed daily monitoring, and 147 (76%) recorded their blood sugar levels. Almost 55% (81/147) used paper-based materials like notebooks and paper for recording, while the rest (66/147, 45%) used digital devices like laptops and smartphones. A shift towards the use of digital devices and smart applications was observed in patients below 50 years of age. The digitally recorded blood glucose measurements were being shared thrice more often than the recordings made on paper or in notebooks (OR [odds ratio] 2.8; P=.01). Patients >50 years of age (OR 2.3; P=.02), with lesser formal education, married (OR 4.2; P<.001), with smaller family size (OR 2.6; P=.01), having type 2 diabetes (OR 4.1; P<.001) and any comorbid conditions (OR 2.6; P=.01) were associated with higher odds of using paper-based sharing methods. Only the female gender and type 2 diabetes were associated with increased frequency of sharing, while uncontrolled diabetes, the presence of other comorbidities, and duration of diabetes did not show any influence.

CONCLUSIONS

Good monitoring and optimal sharing practices were found. Sharing using electronic devices can be emphasized. Diabetes self-management programs can incorporate the use of digital technology in training sessions. Digital literacy and its applications in health care may enhance SMBG practices resulting in better diabetes control.

A feature-oriented analysis of developers' descriptions and user reviews of top mHealth applications for diabetes and hypertension

BACKGROUND AND OBJECTIVE

Diabetes and hypertension are two prevalent and related chronic conditions. To inform the design and development of mobile health applications (mHealth apps) for people living with multiple chronic conditions, this paper examines features mentioned in developers' descriptions and user reviews of mHealth apps, along with users' attitudes toward associated features.

MATERIALS AND METHODS

Eleven top apps for diabetes and hypertension were identified from Google Play as of January 2020. Based on a stratified sampling strategy, 1,100 user reviews were selected to form the final dataset. Developers' descriptions were also collected for analysis. Using the grounded theory approach, we developed a feature-oriented coding scheme, which was used to identify three levels of features mentioned in app descriptions and user reviews: feature group (the highest level), feature type (the second level), and individual feature (the lowest level). Users' attitudes toward app features mentioned in user reviews were also analyzed.

RESULTS

Most top-rated apps for diabetes and hypertension under study were multifeatured, incorporating self-management, information sharing, and decision support features. At the feature-group level, most informative user reviews commented on features related to self-management, followed by decision support and information sharing. The four most frequently mentioned feature types were data entry, data export/import, data visualization, and assessment. Users expressed overwhelming positive attitudes toward app features across all feature categories. Based on users' assessments of existing features and requests for additional features, design implications for app development are provided.

CONCLUSIONS

Despite the diversity of app features provided by mHealth apps and users' primarily positive attitudes toward existing app features, more comprehensive and personalized features are expected by app users to satisfy their health needs. Beyond identifying app features in user reviews, future research may seek more in-depth feedback from real-life patients for app development and design using methods like interviews and focus groups, to further enhance the overall quality of relevant mHealth apps to better support users.

Evaluation of an mHealth-enabled hierarchical diabetes management intervention in primary care in China (ROADMAP): A cluster randomized trial

BACKGROUND

Glycemic control remains suboptimal in developing countries due to critical system deficiencies. An innovative mobile health (mHealth)-enabled hierarchical diabetes management intervention was introduced and evaluated in China with the purpose of achieving better control of type 2 diabetes in primary care.

METHODS AND FINDINGS

A community-based cluster randomized controlled trial was conducted among registered patients with type 2 diabetes in primary care from June 2017 to July 2019. A total of 19,601 participants were recruited from 864 communities (clusters) across 25 provinces in China, and 19,546 completed baseline assessment. Moreover, 576 communities (13,037 participants) were centrally randomized to the intervention and 288 communities (6,509 participants) to usual care. The intervention was centered on a tiered care team-delivered mHealth-mediated service package, initiated by monthly blood glucose monitoring at each structured clinic visit. Capacity building and quarterly performance review strategies upheld the quality of delivered primary care. The primary outcome was control of glycated hemoglobin (HbA1c; <7.0%), assessed at baseline and 12 months. The secondary outcomes include the individual/combined control rates of blood glucose, blood pressure (BP), and low-density lipoprotein cholesterol (LDL-C); changes in levels of HbA1c, BP, LDL-C, fasting blood glucose (FBG), and body weight; and episodes of hypoglycemia. Data were analyzed using intention-to-treat (ITT) generalized estimating equation (GEE) models, accounting for clustering and baseline values of the analyzed outcomes. After 1-year follow-up, 17,554 participants (89.8%) completed the end-of-study (EOS) assessment, with 45.1% of them from economically developed areas, 49.9% from urban areas, 60.5 (standard deviation [SD] 8.4) years of age, 41.2% male, 6.0 years of median diabetes duration, HbA1c level of 7.87% (SD 1.92%), and 37.3% with HbA1c <7.0% at baseline. Compared with usual care, the intervention led to an absolute improvement in the HbA1c control rate of 7.0% (95% confidence interval [CI] 4.0% to 10.0%) and a relative improvement of 18.6% (relative risk [RR] 1.186, 95% CI 1.105 to 1.267) and an absolute improvement in the composite ABC control (HbA1c <7.0%, BP <140/80 mm Hg, and LDL-C <2.6 mmol/L) rate of 1.9% (95% CI 0.5 to 3.5) and a relative improvement of 21.8% (RR 1.218, 95% CI 1.062 to 1.395). No difference was found on hypoglycemia episode and weight gain between groups. Study limitations include noncentralized laboratory tests except for HbA1c, and caution should be exercised when extrapolating the findings to patients not registered in primary care system.

CONCLUSIONS

The mHealth-enabled hierarchical diabetes management intervention effectively improved diabetes control in primary care and has the potential to be transferred to other chronic conditions management in similar contexts.

TRIAL REGISTRATION

Chinese Clinical Trial Registry (ChiCTR) IOC-17011325.

The Perceptions and Experiences of Mobile Health Technology by Older People in Guangzhou, China: A Qualitative Study

The study explores older people's perceptions and experiences with mobile technology adoption in hospitals. Twenty nine older people were interviewed at a tertiary hospital in Guangzhou from June to December 2020. All the interviews were analyzed using thematic analysis. Older people are a diversified group. Various factors impact their readiness for technology use, including their educational level, age, past experiences, living arrangements, etc. The older people in this study in general expressed a great concern about using the new health technology and many encountered barriers to its successful adoption. Yet, the barriers and difficulties that they encountered are embedded in a changed social context in China. The findings above provide insights into the adoption of health technology, and tailored measures to facilitate older people's technology adoption are suggested.

Systematic review of self-management interventions for older adults with cancer

AIM

The purpose of this systematic review was to determine the effectiveness of self-management interventions for older adults with cancer and to determine the effective components of said interventions.

METHODS

We conducted a systematic review of self-management interventions for older adults (65+) with cancer guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement. We conducted an exhaustive search of the following databases: Ageline, AMED, ASSIA, CINAHL, Cochrane, Embase, Medline, PsychINFO, and Sociological Abstracts. We assessed for quality using the Cochrane Risk of Bias tool and Down & Black for quasi-experimental studies, with data synthesized in a narrative and tabular format.

RESULTS

Sixteen thousand nine hundred and eight-five titles and abstracts were screened, subsequently 452 full-text papers were reviewed by two independent reviewers, of which 13 full-text papers were included in the final review. All self-management interventions included in this review measured Quality of Life; other outcomes included mood, self-care activity, supportive care needs, self-advocacy, pain intensity, and analgesic intake; only one intervention measured frailty. Effective interventions were delivered by a multidisciplinary teams (n = 4), nurses (n = 3), and mental health professionals (n = 1). Self-management core skills most commonly targeted included: problem solving; behavioural self-monitoring and tailoring; and settings goals and action planning.

CONCLUSIONS

Global calls to action argue for increased emphasize on self-management but presently, few interventions exist that explicitly target the self-management needs of older adults with cancer. Future work should focus on explicit pathways to support older adults and their caregivers to prepare for and engage in cancer self-management processes and behaviours.

Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores

Background

Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults.

Objective

This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores.

Methods

In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality.

Results

In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality.

Conclusions

There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps.

The difference in knowledge and attitudes of using mobile health applications between actual user and non-user among adults aged 50 and older

Background

Despite the great benefits of mobile health applications (mHAs) in managing non-communicable diseases (NCDs) internationally, studies have documented general challenges to broad adoption of mHAs among older age groups. By focusing on broad adoption, these studies have been limited in their evaluation of adults aged 50 and older who have high risk of NCDs and can benefit the most from the functionalities provided by mHAs.

Objective

This study aims to evaluate the knowledge, self-confidence, perceived benefits, and barriers of using mHAs depending on experience with mHAs among adults aged 50 and older. Furthermore, we aim to identify the factors associated with the actual use of mHAs.

Methods

We conducted a cross-sectional survey at a single tertiary hospital in Seoul, Korea, between May 1 and May 31, 2018. Of the 625 participants who were contacted, 323 participants were granted full inclusion to the study. We compared demographics, knowledge, self-confidence, and perceived benefits and barriers by experience with using mHAs, then performed logistic regression to identify the factors associated with mHA use.

Results

Among the participants, 64.1% (N = 207) had experience using mHAs. Those in the experienced group were more likely to have more than college education (55.1% vs. 27.5%, P < 0.001) and to report a higher monthly income (≥ $7,000, 22.7% vs. 18.1%, P = 0.05) than their less-experienced counterparts. Although the experienced group was more likely to have higher self-confidence in using mHAs, about half of the study participants, including people with experience using mHAs, did not have appropriate knowledge of mobile technology. With adjusted logistic model, higher educated (adjusted PR (aPR) = 1.53, 95% CI, 1.26–1.80), higher perceived benefits of mHAs (aPR = 1.43, 95% CI, 1.04–1.83), and higher self-confidence using mHAs (aPR = 1.41, 95% CI, 1.12–1.70) were significant factors associated with mHA use.

Conclusions

The use of mHAs among adults aged 50 and older is becoming more common globally; nevertheless, there are still people unable to use mHAs properly because of lack of experience and knowledge. Strategies are needed to encourage the reliable usage of mHAs among those who may need it the most by improving self-confidence and better articulating benefits.

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.

Social Support and User Characteristics in Online Diabetes Communities: An In-Depth Survey of a Large-Scale Chinese Population

:Objective: To determine the characteristics of members of online diabetes communities as well as those factors affecting the provision and acceptance of social support. Methods: A cross-sectional STAR questionnaire survey was conducted among patients with diabetes who were members of online diabetes groups. Univariate and multivariate binary logistic regression analysis were adopted to explore the relative analysis of providing and accepting social support compared with the characteristics of members in virtual diabetics' groups. Results: A total of 1297 respondents were collected. The map distribution of patients in China was mainly located in the Guangdong, Jiangsu, Shandong, Henan, and Hebei provinces. As for their demographic characteristics, respondents had diabetes or prediabetes and were between the ages of 21 and 50 years (Median age was 35.0 (interquartile range from 28.0 to 44.0)). Most respondents were married and lived in cities. The education level of patients was mainly distributed throughout junior high, technical secondary, high school, junior college, and undergraduate levels. Age, marital status, and education level varied by gender, and the total score of the patients aged 41 to 50 for social support had a statistical significance between male and female. In addition, when group members were in junior high school or below, or were undergraduate students, their total social support scores varied by gender. Binary logistic regression showed that in 21 independent variables the total score and the total score grade of relationship intensity in the online group and reorganize of age were significant. The patients' social support acceptance of the map of respondents score grading of relationship intensity in the online group was 5.420 times higher than that of the lower score grading of relationship intensity in the group. At the same time, the patients' social support acceptance of the patients at the age of less than or equal to 31 years old was 19.608 times higher than that of group members aged more than 31 years old. Conclusion: Age and education background of the patients affects scores of social supports between males and females. The higher the total score and the score grade of relationship intensity in the online group, the higher the patients' social support acceptance. The younger patients had a better utilization of social support.

Quality, Functionality, and Features of Chinese Mobile Apps for Diabetes Self-Management: Systematic Search and Evaluation of Mobile Apps

BACKGROUND

The emergence and advancement of mobile technologies offer a promising opportunity for people with diabetes to improve their self-management. Despite the proliferation of mobile apps, few studies have evaluated the apps that are available to the millions of people with diabetes in China.

OBJECTIVE

This study aimed to conduct a systematic search of Chinese mobile apps for diabetes self-management and to evaluate their quality, functionality, and features by using validated rating scales.

METHODS

A systematic search was conducted to identify Chinese apps for diabetes self-management in the four most popular Chinese language mobile app stores. Apps were included if they were designed for diabetes self-management and contained at least one of the following components: blood glucose management, dietary and physical activity management, medication taking, and prevention of diabetes-related comorbidities. Apps were excluded if they were unrelated to health, not in Chinese, or the targeted users are health care professionals. Apps meeting the identified inclusion criteria were downloaded and evaluated by a team of 5 raters. The quality, functionalities, and features of these apps were assessed by using the Mobile App Rating Scale (MARS), the IMS Institute for Healthcare Informatics Functionality score, and a checklist of self-management activities developed based on the Chinese diabetes self-management guideline, respectively.

RESULTS

Among 2072 apps searched, 199 were eligible based on the inclusion criteria, and 67 apps were successfully downloaded for rating. These 67 apps had an average MARS score of 3.42 out of 5, and 76% (51/67) of the apps achieved an acceptable quality (MARS score >3.0). The scores for the four subdomains of MARS were 3.97 for functionality, 3.45 for aesthetics, 3.21 for information, and 3.07 for engagement. On average, reviewed apps applied five out of the 19 examined behavior change techniques, whereas the average score on the subjective quality for the potential impact on behavior change is 3 out of 5. In addition, the average score on IMS functionality was 6 out of 11. Functionalities in collecting, recording, and displaying data were mostly presented in the reviewed apps. Most of the apps were multifeatured with monitoring blood glucose and tracking lifestyle behaviors as common features, but some key self-management activities recommended by clinical guidelines, such as stress and emotional management, were rarely presented in these apps.

CONCLUSIONS

The general quality of the reviewed apps for diabetes self-management is suboptimal, although the potential for improvement is significant. More attention needs to be paid to the engagement and information quality of these apps through co-design with researchers, public health practitioners, and consumers. There is also a need to promote the awareness of the public on the benefit and potential risks of utilizing health apps for self-management.

Mobile health app usability and quality rating scales: a systematic review

PURPOSE

To review the rating scales used to evaluate usability and quality of mobile health applications, and to compare their purpose, content, and intended target users (i.e., patients, caregivers, or researchers).

MATERIAL AND METHODS

We conducted a systematic review of the literature in accordance with the PRISMA statement on Medline, CINAHL, PsycINFO, IEEE Explore databases, as well as a review of the grey literature to identify rating scales used to evaluate usability and quality of mobile health applications (m-health apps), between January 1, 2000 and July 31, 2018. Two researchers screened the titles and abstracts of articles that met inclusion criteria, and retrieved usability and quality rating scales from the articles.

RESULTS

We identified 24 usability scales and 25 quality rating scales in 87 peer-reviewed articles. We identified only one quality rating scale designed for non-expert users (i.e., patients or caregivers). None of the studies used a theoretical framework for app evaluation to support the scales. The validity of existing quality rating scales is yet to be investigated.

CONCLUSION

Existing usability and quality rating scales are targeted at professionals, not end users who are patients or caregivers. Rating scales that are usable by all end-users would make mobile health apps accessible and meaningful to consumers.Implications for rehabilitationThe number of mobile health applications on app stores that can be used for rehabilitation is increasing.Most healthcare providers lack the training to identify m-health apps with high quality to be used in rehabilitation.This study has reviewed the current rating scales that can help clinicians and care providers rate the quality of m-health apps and identify the ones that are most appropriate for their practice.

Home Blood Pressure Monitoring by a Mobile-Based Model in Chongqing, China: A Feasibility Study

Purpose: Increasing attention is being paid to the role of the intelligent self-management of hypertension under the context of increasing prevalence but limited medical resources. However, heterogeneity in interventions and outcome measures has hindered the interpretation of research evaluating mobile health technologies for hypertension control, and little study of such technology has been performed in China. Objective: This was a feasibility study aimed to understand patient and medical practitioners’ acceptance and experience of a mobile-phone based platform for the management of hypertensive patients. Methods: The model used behavioral incentives for daily blood pressure measurement and physician-facing prioritization of patients based on level of blood-pressure control. Patients were enrolled by purposive sampling. The platform was used for two-week blood pressure monitoring through WeChat, which simulated our future app. Qualitative interviews with patients and providers were conducted in time. Results: Twenty hypertensive patients and two providers were enrolled and used the platform throughout the two weeks. Patients reported daily home blood pressure monitoring to be simple, feasible and increased their health awareness. Specifically, patients self-reported that reminders, the daily frequency and time of monitoring, and positive reinforcement were important for maintaining adherence. Providers reported that they could manage patients more quickly and accurately, but reasonable feedback information was needed to avoid excessive increases in workload. Conclusion: The adoption of mobile-based technology to monitor patient’s blood pressure may provide a practical solution for managing patients in Chongqing, China. Patient health education and enhanced app functionality could improve patient compliance and satisfaction while reducing provider workload.

Socioeconomic status moderates the association between patient satisfaction with community health service and self-management behaviors in patients with type 2 diabetes: A cross-sectional survey in China

The objective of this study was to examine the association between patient satisfaction with community health service (CHS) and self-management behaviors in patients with type 2 diabetes mellitus (T2DM).In all, 1691 patients with T2DM from 8 community health centers in 5 provinces in China participated in the present study. The dependent variables included 4 measures of self-management behaviors: regular self-monitoring of blood glucose (SMBG), prescribed medication adherence, recommended dietary changes, and regular exercise. The independent variable was patient satisfaction with CHS. Multivariable logistic regression models were performed to examine the association between patient satisfaction with CHS and self-management behaviors.The mean satisfaction score in the participants was 3.14 (out of a maximum of 5). After adjusting for covariates including demographic factors, health status, health knowledge, and socioeconomic status (SES), diabetic patients with high CHS satisfaction had better medication adherence (odds ratio [OR] 1.25, 95% confidence interval [CI] 1.02-1.55), increased exercise management (OR 1.19, 95% CI 1.06-1.35), and more SMBG (OR 1.16, 95% CI 1.03-1.32); all these associations varied across SES groups. The association between satisfaction and medication adherence was significant among participants younger than 65 years with lower education (OR 2.15, 95% CI 1.37-3.37), income (OR 1.62, 95% CI 1.13-2.32), and lower-status occupations (OR 1.69, 95% CI 1.16-2.47). Among participants younger than 65 years and had lower education attainment, the association between satisfaction and diet management was observed. There were positive associations between satisfaction and regular exercise among subgroups of participants younger than 65 years, except for lower education group. A significant association between satisfaction and SMBG among participants ≥65 years old, who also had lower SES and higher-status occupations, was also observed.The study findings suggested that T2DM patient satisfaction with CHS was moderate. High satisfaction with CHS indicated better medication adherence, exercise management, and SMBG, and these associations varied by SES.

Mobile Health Apps: Improving Usability for Older Adult Users

With smartphone use among older populations on the rise, older adults have increased access to health-focused mobile apps. Despite their potential benefits for managing health, currently no guidelines exist for designing these apps specifically for older adult users. We evaluated the usability of one medication management app and two congestive heart failure management apps using cognitive walkthroughs, heuristic analysis, and user testing. We identified design issues that may affect usability for older users, including poor navigation, small button sizes, and inadequate data visualizations. We provide guidelines for developers of health apps to facilitate use by older adults.

Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus

Background: In the daily routine of type 1 diabetes mellitus (T1DM), the patients deal with many data and consider many variables to perform actions, decisions, and regimen adjustments. There is a need to apply filtering techniques to extract relevant information and provide appropriate data visualization methods to assist in clinical tasks and decision making. Objective: To present Soins DM, a mobile health tool, for monitoring the linkage among treatment factors of T1DM with an interactive data visualization approach. Methods: First, we performed a literature review, a commercial search, and ideation. Next, we created a prototype and an online survey for its feedback, with participation of 76 individuals. Afterward, the mobile app and its website version were built. Eventually, we conducted a pilot experiment with 4 patients, an online experiment for satisfaction assessment with 97 patients, and an online assessment by 9 health professionals. Results: Prototyping and feedback facilitated the design refinement. Soins DM enables the recording of data from routines of glycemia, insulin applications, meals, and physical exercises. From these logs, the app builds two different ways of interactive data visualization, a timeline and an integrated chart, providing personalized feedback on bad glycemia with its possible causes. The assessments revealed overall satisfaction with the app's characteristics. Conclusions: Soins DM is a novel application with interactive visualization and personalized feedback for easy identification of the linkage among treatment factors of T1DM. The test scenario with patients and health professionals indicates Soins DM as a useful and reliable tool.

Mobile health for older adult patients: Using an aging barriers framework to classify usability problems

BACKGROUND

With populations aging, digital health tools and mobile health applications (mHealth) are becoming more common to assist older people in independent living and self-management of (chronic) illnesses. These mHealth services can be beneficial to older patients, provided that they are adjusted to their needs and characteristics, as the current mHealth landscape lacks user-friendly services for this target group. Understanding of intrinsic aging barriers, which cause and impact usability problems older patients encounter, is needed to achieve this.

OBJECTIVES

This study set out to assess usability problems older patients encounter in two mHealth apps and aims to show the value of MOLD-US, a recent aging barriers framework, as a classification tool to identify the intrinsic cause of these problems.

METHOD

A case-study design, with in-depth analysis of usability issues older adult patients' experience. Data on usability issues were collected using the Think Aloud Protocol for two mHealth apps. The MOLD-US framework and Nielsen's severity rating were used to classify identified issues and their potential impact.

RESULTS

In total 28 high severe usability issues of the mHealth apps were identified. Core natures of most issues were related to motivational and cognitive barriers of older adults. Participants had difficulties in understanding the navigation structure of the apps. Important text, buttons and icon elements were overseen.

CONCLUSION

Current knowledge on creating interfaces for older target groups is not well applied within the assessed mHealth designs. Specifically, design guidelines should address older adults' diminishing cognition skills, physical ability and motivational barriers. By classifying usability problems with MOLD-US, insights on these barriers can be enhanced to adequately address these issues in new designs. In addition, we propose that future research focuses on investigating suitable usability evaluation methods adapted to older patients' characteristics to ultimately be able to gain unbiased sight on usability issues older patients may experience while interacting with technology.

Older adults using a patient portal: registration and experiences, one year after implementation

Background and objectives

The interest of older adults in using patient portals is rising, yet subject to functional and usability barriers. This study aims to gain insight into registration rates and experiences of older adult patients using a patient portal, one year after implementation in an academic hospital.

Methods

Registration rates for one year were collected via automated data extraction. Older adult patients' experiences were collected through a survey, available via the portal in the last three months of the year.

Results

Older adults were a large user group of the patient portal and appreciated its functionalities. In one year, 10,679 older adult patients (aged 56+) registered, which constituted 47% of total portal registrations. The 131 older adult survey respondents had a mean age of 64.5 years and 40% indicated that they liked to review their medical information and appointments via the portal. Yet, older adults experienced user interaction issues and had higher expectations of content within the portal and patient/provider communication through the portal. Of the survey respondents, 22% experienced usability issues at login and in viewing test results, 15% commented on late or no responses by providers on patients' sent messages and 24% expected the portal to provide medical history information.Implications: Patient portal designs should be optimized to usability needs of older adults. Portals preferably include medical history information, physicians' notes and require prompt responses of providers.

How standards and user involvement can improve app quality: A lifecycle approach

Health apps have great potential to improve the quality of care and reduce costs, but this has not yet been achieved. Unfortunately, there are many low-quality, unsafe health apps, resulting in different types of risks. This Perspective addresses the current failure to adopt standards for the development and implementation of health apps. For each theoretical stage of the app development lifecycle we discuss problems, examples, reasons, and solutions. We believe that adapted versions of existing professional and technical standards and tools developed for clinical information systems, medical devices and medicines could help mitigate risks throughout the health app lifecycle. Adapted standards should bring more effective user involvement and cooperation amongst stakeholders. We argue that these efforts will ultimately provide users with a wider choice of higher-quality health apps, give healthcare providers access to better quality data, and allow developers to innovate without unnecessary time-consuming restrictions.

Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US)

BACKGROUND

With the growing population of older adults as a potential user group of mHealth, the need increases for mHealth interventions to address specific aging characteristics of older adults. The existence of aging barriers to computer use is widely acknowledged. Yet, usability studies show that mHealth still fails to be appropriately designed for older adults and their expectations. To enhance designs of mHealth aimed at older adult populations, it is essential to gain insight into aging barriers that impact the usability of mHealth as experienced by these adults.

OBJECTIVES

This study aims to synthesize literature on aging barriers to digital (health) computer use, and explain, map and visualize these barriers in relation to the usability of mHealth by means of a framework.

METHODS

We performed a scoping review to synthesize and summarize reported physical and functional age barriers in relation to digital (mobile) health applications use. Aging barriers reported in the literature were mapped onto usability aspects categorized by Nielsen to explain their influence on user experience of mHealth. A framework (MOLD-US) was developed summarizing the evidence on the influence of aging barriers on mHealth use experienced by older adults.

RESULTS

Four key categories of aging barriers influencing usability of mHealth were identified: cognition, motivation, physical ability and perception. Effective and satisfactory use of mHealth by older adults is complicated by cognition and motivation barriers. Physical ability and perceptual barriers further increase the risk of user errors and fail to notice important interaction tasks. Complexities of medical conditions, such as diminished eye sight related to diabetes or deteriorated motor skills as a result of rheumatism, can cause errors in user interaction.

CONCLUSIONS

This research provides a novel framework for the exploration of aging barriers and their causes influencing mHealth usability in older adults. This framework allows for further systematic empirical testing and analysis of mHealth usability issues, as it enables results to be classified and interpreted based on impediments intrinsic to usability issues experienced by older adults. Importantly, the paper identifies a key need for future research on motivational barriers impeding mhealth use of older adults. More insights are needed in particular to disaggregating normal age related functional changes from specific medical conditions that influence experienced usefulness of mHealth by these adults.