Musculoskeletal Disorders (MSDs) are complaints in the skeletal muscles caused by behavioral errors and work attitudes. If the condition happens every day for long, it can cause permanent pain and ...damage to muscles, joints, tendons, ligaments and othes. The Occupational Safety and Health Administration (OSHA) recommends ergonomic measures to deal with complaints of MSDs under the Ergonomic Rule of Twenty (ERT) rules. The purpose of this study is applying the method to android application. Work on this application using the steps of waterfall. Testing is done in 5 ways. The first with the blackbox method indicates that the application is running smoothly with no error. The second hardware use with various smartphones and screen size shows that the application is running well on minimum specification 4.3-inch and Android KitKat operating system. The third was carried out to two MSDs expert lecturers indicating that the application was in accordance with the ERT rules and recommended to be used as a media to prevent MSDs complaints. Fourth, by distributing questionnaires to 32 educational staff respondents at University of Darussalam Gontor, actively sitting in front of the computer daily, give good feedback with a score of 82%. Fifth, through users (https://play.google.com/store/apps/details?id=id.amoled.timerapp), 10 users gives rating of 4.6 from March 27 to July 20, 2019. All results show this application complies with ERT rules and helps prevent and reduce complaints of MSDs. This Application is recommended for anyone having a job with the habit of sitting in front of a computer for long time.
Aim
To describe a randomized controlled trial protocol designed to evaluate the effectiveness of mobile health based Preterm Home Care Program (mHealthPHCP) known as “NeoRaksha” mobile health ...application in improving parent‐infant‐interaction, growth and development of preterms.
Design
A prospective, randomized controlled clinical trial. The protocol is approved and funded by Department of Biotechnology, Government of India on 2 August 2016.
Methods
A total of 300 preterm‐mother dyads admitted to neonatal intensive care unit of a tertiary care hospital will be recruited and randomized to intervention and control group. The intervention group would receive mobile health based Preterm Home Care Program and the control group would receive standard preterm care. Intervention group will be followed up at home by community health workers known as Accredited Social Health Activist who will be trained in using the NeoRaksha mobile health application. Preterms outcomes will be assessed during follow‐up at hospital.
Discussion
Supporting continuity of preterm care is vital as parents and preterms experience transition from Neonatal Intensive Care unit to their home. Empowering mothers and community health workers by integrating mobile technology into health care can help promote healthy preterms, enhance development outcomes and follow‐up, which in turn can reduce the mortalities, morbidities, and disabilities associated with prematurity.
Impact
The results of this study could open up new horizons in integrating hospital and home based preterm care through technology, which paves way to scale up the model across the countries.
目的
为了评估基于手机健康的早产儿家庭护理计划( mHealthPHCP )的被称为“NeoRaksha”的手机健康应用在改善亲子互动、早产儿生长发育方面的有效性,将描述一项随机对照试验方案。
设计
前瞻性随机对照临床试验。该方案于2016年8月2日获得印度政府生物技术部的批准和资助。
方法
总共将招募300对在三级护理医院新生儿重症监护病房住院的早产儿母亲及其孩子,并随机分配为干预组和对照组。干预组将接受基于手机健康的早产儿家庭护理计划,而对照组将接受标准的早产儿护理。干预小组将在家中由被称为公认的社会健康积极分子的社区健康工作者跟进,这些工作者将接受使用NeoRaksha手机医疗应用的培训。在医院随访期间将评估早产儿的效果。
讨论
支持早产儿护理的连续性是至关重要的,因为父母和早产儿都经历了从新生儿重症监护室过渡到他们家的时期。通过将手机技术融入医疗保健,可以增强母亲和社区健康工作者的能力,也有助于促进早产儿的健康,促进发展的效果和后续行动,进而减少与早产相关的死亡率、发病率和残疾率。
影响
这项研究的结果可以为通过技术整合医院和家庭早产儿护理开辟新的视野,这为在各国推广这一模式铺平了道路。
Type 2 diabetes is a worldwide disorder that affects millions of people and can exert negative clinical and social effects on the patients. In some previous studies, mobile health applications have ...been used as a means of clinical intervention. However, the therapeutic effect of continuous care through mobile phone applications for patients with type 2 diabetes remains unclear.
This study aimed to explore the clinical effect of continuous care for patients with type 2 diabetes using mobile health application by comparing traditional discharge nursing.
In total, 120 patients with type 2 diabetes were randomly divided into two groups: The test group received continuous care based on the mobile phone application (n = 60), and the control group received conventional care (n = 60). Primary clinical outcomes, such as Glycaemic Haemoglobin (GH) levels, blood glucose levels, self-care abilities, disease cognition abilities, and the number of readmissions, were examined in both groups.
The results showed significant improvements pertaining to disease awareness levels (81.28 vs 71.34, P < .05), self-management abilities (9.14 vs 7.81, P < .05), GH (-1.50% vs -0.76%, P < .05), fast blood glucose (-3.23 vs -1.25 mmol/L, P < .05), postprandial blood glucose levels (-4.34 vs -2.34 mmol, P < .05), and control levels in the test group. Moreover, in the test group, the frequency of rehospitalisation was reduced during the intervention period, as was the average number of rehospitalisation within 6 months after discharge (-1.19 vs P < .05).
Continuous care based on a mobile health application has potential as a management strategy for patients with type 2 diabetes.
Mobile eHealth apps have been used as a complementary treatment to increase the quality of life of patients and provide new opportunities for the management of rheumatic diseases. Telemedicine, ...particularly in the areas of prevention, diagnostics, and therapy, has become an essential cornerstone in the care of patients with rheumatic diseases.
This study aims to improve the design and technology of YogiTherapy and evaluate its usability and quality.
We newly implemented the mobile eHealth app YogiTherapy with a modern design, the option to change language, and easy navigation to improve the app's usability and quality for patients. After refinement, we evaluated the app by conducting a study with 16 patients with AS (4 female and 12 male; mean age 48.1, SD 16.8 y). We assessed the usability of YogiTherapy with a task performance test (TPT) with a think-aloud protocol and the quality with the German version of the Mobile App Rating Scale (MARS).
In the TPT, the participants had to solve 6 tasks that should be performed on the app. The overall task completion rate in the TPT was high (84/96, 88% completed tasks). Filtering for videos and navigating to perform an assessment test caused the largest issues during the TPT, while registering in the app and watching a yoga video were highly intuitive. Additionally, 12 (75%) of the 16 participants completed the German version of MARS. The quality of YogiTherapy was rated with an average MARS score of 3.79 (SD 0.51) from a maximum score of 5. Furthermore, results from the MARS questionnaire demonstrated a positive evaluation regarding functionality and aesthetics.
The refined and tested YogiTherapy app showed promising results among most participants. In the future, the app could serve its function as a complementary treatment for patients with AS. For this purpose, surveys with a larger number of patients should still be conducted. As a substantial advancement, we made the app free and openly available on the iOS App and Google Play stores.
Mobile health (mHealth) apps have facilitated symptom monitoring of COVID-19 symptoms globally and have been used to share data with health care professionals and support disease prediction, ...prevention, management, diagnostics, and improvements in treatments and patient education.
The aim of this review is to evaluate the quality and functionality of COVID-19 mHealth apps that support tracking acute and long-term symptoms of COVID-19.
We systematically reviewed commercially available mHealth apps for COVID-19 symptom monitoring by searching Google Play and Apple iTunes using search terms such as "COVID-19," "Coronavirus," and "COVID-19 and symptoms." All apps underwent three rounds of screening. The final apps were independently assessed using the Mobile Application Rating Scale (MARS), an informatics functionality scoring system, and the Center for Disease Control and World Health Organization symptom guidelines. The MARS is a 19-item standardized tool to evaluate the quality of mHealth apps on engagement, functionality, aesthetics, and information quality. Functionality was quantified across the following criteria: inform, instruct, record (collect, share, evaluate, and intervene), display, guide, remind or alert, and communicate. Interrater reliability between the reviewers was calculated.
A total of 1017 mobile apps were reviewed, and 20 (2%) met the inclusion criteria. The majority of the 20 included apps (n=18, 90%) were designed to track acute COVID-19 symptoms, and only 2 (10%) addressed long-term symptoms. Overall, the apps scored high on quality, with an overall MARS rating of 3.89 out of 5, and the highest domain score for functionality (4.2). The most common functionality among all apps was the instruct function (n=19, 95%). The most common symptoms included in the apps for tracking were fever and dry cough (n=18, 90%), aches and pains (n=17, 85%), difficulty breathing (n=17, 85%), tiredness, sore throat, headache, loss of taste or smell (n=16, 80%), and diarrhea (n=15, 75%). Only 2 (10%) apps specifically tracked long-term symptoms of COVID-19. The top 4 rated apps overall were state-specific apps developed and deployed for public use.
Overall, mHealth apps designed to monitor symptoms of COVID-19 were of high quality, but the majority of apps focused almost exclusively on acute symptoms. Future apps should also incorporate monitoring long-term symptoms of COVID-19 and evidence-based educational materials; they should also include a feature that would allow patients to communicate their symptoms to specific caregivers or their own health care team. App developers should also follow updated technical and clinical guidelines from the Center for Disease Control and the World Health Organization.
Inadequate control of atopic dermatitis (AD) increases the frequency of exacerbations and reduces the quality of life. Mobile health apps provide information and communication technology and may ...increase treatment adherence and facilitate disease management at home. The mobile health app, Atopic App, designed for patients and their caregivers, and the associated web-based patient education program, Atopic School, provide an opportunity for improving patients' and caregivers' engagement and adherence to the management of AD.
This noninterventional, observational study aimed to explore the feasibility and potential impact on the management of AD in children by caregivers using the Atopic App mobile health app.
The patient-oriented eczema measure (POEM) and numerical rating scale for the grading of pruritus were used as severity scores (scale range: 0-28). The artificial intelligence model of the app was used to assess the severity of AD based on the eczema area and severity index approach. The deidentified data enabled the analysis of the severity of AD, treatment plan history, potential triggers of flare-ups, usage of available features of the app, and the impact of patient education.
During a 12-month period, of the 1223 users who installed the app, 910 (74.4%) registered users were caregivers of children with AD. The web-based Atopic School course was accessed by 266 (29.2%) caregivers of children with AD, 134 (50.4%) of whom completed the course. Usage of the app was significantly more frequent among those who completed the Atopic School program than among those who did not access or did not complete the course (P<.001). Users who completed a second POEM 21 to 27 days apart exhibited a significant improvement of AD severity based on the POEM score (P<.001), with an average improvement of 3.86 (SD 6.85) points. The artificial intelligence severity score and itching score were highly correlated with the POEM score (r=0.35 and r=0.52, respectively).
The Atopic App provides valuable real-world data on the epidemiology, severity dynamics, treatment patterns, and exacerbation-trigger correlations in patients with AD. The significant reduction in the POEM score among users of the Atopic App indicates a potential impact of this tool on health care engagement by caregivers of children with AD.
Cardiotoxicity is a limitation of several cancer therapies and early recognition improves outcomes. Symptom-tracking mobile health (mHealth) apps are feasible and beneficial, but key elements for ...mHealth symptom-tracking to indicate early signs of cardiotoxicity are unknown.
We explored considerations for the design of, and implementation into a large academic medical center, an mHealth symptom-tracking tool for early recognition of cardiotoxicity in patients with cancer after cancer therapy initiation.
We conducted semistructured interviews of >50% of the providers (oncologists, cardio-oncologists, and radiation oncologists) who manage cancer treatment-related cardiotoxicity in the participating institution (n=11), and either interviews or co-design or both with 6 patients. Data were coded and analyzed using thematic analysis.
Providers indicated that there was no existing process to enable early recognition of cardiotoxicity and felt the app could reduce delays in diagnosis and lead to better patient outcomes. Signs and symptoms providers recommended for tracking included chest pain or tightness, shortness of breath, heart racing or palpitations, syncope, lightheadedness, edema, and excessive fatigue. Implementation barriers included determining who would receive symptom reports, ensuring all members of the patient's care team (eg, oncologist, cardiologist, and primary care) were informed of the symptom reports and could collaborate on care plans, and how to best integrate the app data into the electronic health record. Patients (n=6, 100%) agreed that the app would be useful for enhanced symptom capture and education and indicated willingness to use it.
Providers and patients agree that a patient-facing, cancer treatment-related cardiotoxicity symptom-tracking mHealth app would be beneficial. Additional studies evaluating the role of mHealth as a potential strategy for targeted early cardioprotective therapy initiation are needed.
Accurate safety monitoring in HIV vaccine trials is vital to eventual licensure and consequent uptake of products. Current practice in preventive vaccine trials, under the HIV Vaccine Trials Network ...(HVTN), is to capture related side effects in a hardcopy tool. The reconciliation of this tool, 2 weeks after vaccination at the safety visit, is time consuming, laborious, and fraught with error. Unstructured Supplementary Service Data (USSD), commonly used to purchase airtime, has been suggested for collection of safety data in vaccine trials. With saturated access to mobile phones in South Africa, this cheap, accessible tool may improve accuracy and completeness of collected data and prove feasible and acceptable over the hardcopy tool.
The objective of our study is to develop and implement a USSD tool for real-time safety data collection that is feasible and acceptable to participants and staff, allowing for a comparison with the hardcopy tool in terms of completeness and accuracy.
This feasibility study is being conducted at a single study site, the Centre for the AIDS Programme of Research in South Africa eThekwini Clinical Research site, in South Africa. The feasibility study is nested within a parent phase 1/2a preventive HIV vaccine trial (HVTN 108) as an open-label, randomized controlled trial, open to all consenting parent trial participants. Participants are randomly assigned in a 1:1 ratio to the hardcopy or USSD tool, with data collection targeted to the third and fourth injection time points in the parent trial. Online feasibility and acceptability surveys will be completed by staff and participants at the safety visit. We will itemize and compare error rates between the hardcopy tool and the USSD printout and associated source documentation. We hypothesize that the USSD tool will be shown to be feasible and acceptable to staff and participants and to have superior quality and completion rates to the hardcopy tool.
The study has received regulatory approval. We have designed and developed the USSD tool to include all the data fields required for reactogenicity reporting. Online feasibility and accessibility surveys in both English and isiZulu have been successfully installed on a tablet. Data collection is complete, but analysis is pending.
Several HIV preventive vaccine trials are active in Southern Africa, making tools to improve efficiencies and minimize error necessary. Our results will help to determine whether the USSD tool can be used in future vaccine studies and can eventually be rolled out.
ClincalTrials.gov NCT02915016; https://clinicaltrials.gov/ct2/show/NCT02915016 (Archived by WebCite at http://www.webcitation.org/71h0cztDM).
RR1-10.2196/9396.
While there are thousands of behavioral health apps available to consumers, users often quickly discontinue their use, which limits their therapeutic value. By varying the types and number of ways ...that users can interact with behavioral health mobile health apps, developers may be able to support greater therapeutic engagement and increase app stickiness.
The main objective of this analysis was to systematically characterize the types of user interactions that are available in behavioral health apps and then examine if greater interactivity was associated with greater user satisfaction, as measured by app metrics.
Using a modified PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology, we searched several different app clearinghouse websites and identified 76 behavioral health apps that included some type of interactivity. We then filtered the results to ensure we were examining behavioral health apps and further refined our search to include apps that identified one or more of the following terms: peer or therapist forum, discussion, feedback, professional, licensed, buddy, friend, artificial intelligence, chatbot, counselor, therapist, provider, mentor, bot, coach, message, comment, chat room, community, games, care team, connect, share, and support in the app descriptions. In the final group of 34 apps, we examined the presence of 6 types of human-machine interactivities: human-to-human with peers, human-to-human with providers, human-to-artificial intelligence, human-to-algorithms, human-to-data, and novel interactive smartphone modalities. We also downloaded information on app user ratings and visibility, as well as reviewed other key app features.
We found that on average, the 34 apps reviewed included 2.53 (SD 1.05; range 1-5) features of interactivity. The most common types of interactivities were human-to-data (n=34, 100%), followed by human-to-algorithm (n=15, 44.2%). The least common type of interactivity was human-artificial intelligence (n=7, 20.5%). There were no significant associations between the total number of app interactivity features and user ratings or app visibility. We found that a full range of therapeutic interactivity features were not used in behavioral health apps.
Ideally, app developers would do well to include more interactivity features in behavioral health apps in order to fully use the capabilities of smartphone technologies and increase app stickiness. Theoretically, increased user engagement would occur by using multiple types of user interactivity, thereby maximizing the benefits that a person would receive when using a mobile health app.
The House Ball community (HBC) and its affiliated Gay Families (GFs) consist of predominantly African American and Latinx sexual, gender, and ethnic minorities (SGEM), who form chosen families often ...as a way to provide support, and in the case of the HBC, to constitute houses that then compete in performative categories in balls. Members of both communities are disproportionately impacted by HIV. Although public health professionals have engaged with the HBC and GFs to improve HIV testing and clinical care, most intervention activities have relied on in-person modes of outreach and delivery. Little research has been conducted with the members of the HBC and GFs to develop and produce culturally-informed mobile health (mHealth) applications that would enable them to increase HIV-related knowledge, connect to HIV-related resources, receive HIV health support, and to celebrate their unique identities and communities in a safe space.
We conducted 45 in-depth interviews with HBC and GF members who attended balls. Topics included HIV-related health needs, suggestions for mHealth components, current usage of apps and desirable features, and wishes around privacy and security. Following analysis of the interview data, we convened a series of four workshops with N=15 participants who were split into two groups. The purpose of the workshops was to co-design a digital tool to help provide information, reduce HIV-related stigma, and locate HIV resources for participants. Each group attended two workshops. Data were analyzed by a team of social scientists, community members, and mobile health experts. Findings were used to design an mHealth app related to HIV prevention and care.
Participants requested an app that clearly reflected the community. The desired features of the app included accurate information and education on HIV transmission; links to resources such as HIV testing, lube and condoms, PrEP, and other health-related services; and the ability to rate and review local resources. In workshops, participants proposed several design elements and functions for the app. It had to be 'Mobile and Modern', 'Relatable, Raw, and "Reflective of Me"', 'Positive and Fun', feature community-generated content, and provide a safe space for users. Using these clear directives, the team designed an mHealth tool to be fielded as part of the larger "We Are Family" intervention that would provide HIV-specific information, resources, and support in a platform that was congruent with community norms and expectations.
Designing and fielding an mHealth app as part of a larger HIV prevention intervention that reflects the social support and relationships within existing House Ball and Gay Family communities allows those youth most at risk for HIV-related health disparities to gain access to HIV testing, or link and re-engage young people to care.
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