Use Of Mobile Health Technology Research Articles

Review of antiretroviral therapy coverage in 10 highest burden HIV countries in Africa: 2015-2020.

Africa is responsible for two-thirds of the global total of new HIV infections. South Africa, Nigeria, Mozambique, Uganda, Tanzania, Zambia, Zimbabwe, Kenya, Malawi, and Ethiopia were responsible for 80% of HIV cases in Africa in 2014 according to the Joint United Nations Programme on HIV/AIDS (UNAIDS). This study assesses antiretroviral coverage strategies implemented by these countries after the initiation of the "Fast-Track strategy to end the AIDS epidemic by 2030." Data reported in this review were obtained from different e-bibliographic including PubMed, Google Scholar, and Research Gate. Key terms were "Antiretroviral therapy,""Antiretroviral treatment,""HIV treatment," "HIV medication,""HIV/AIDS therapy,""HIV/AIDS treatment" + each of the countries listed earlier. We also extracted data on antiretroviral therapy(ART) coverage from the UNAIDS database. About 50 papers published from 2015 to 2021 met the inclusion criteria. All 10 countries have experienced an increase in ART coverage from 2015 to 2020 with an average of 47.6% increment. Nigeria recorded the highest increase in the rate of ART coverage (72% increase) while Ethiopia had the least (30%). New strategies adopted to increase ART coverage and retention in most countries were community-based models and the use of mobile health technology rather than clinic-based. These strategies focus on promoting task shifting, door-to-door access to HIV services, and a long-term supply of antiretroviral medications. Most of these strategies are still in the piloting stage. However, some new strategies and frameworks have been adopted nationwide in countries like Mozambique, Tanzania, Zambia, Zimbabwe, Kenya, and Malawi. Identified challenges include lack of funding, inadequate testing and surveillance services, poor digital penetration, and cultural/religious beliefs. The adoptionof community-based and digital health strategies could have contributed to increased ART coverage and retention. African countries should facilitate nationwide scaling of ART coverage strategies to attain the 95-95-95 goal by 2030.

Usability Experience of a Personal Sleep Monitoring Device to Self-manage Sleep Among Persons 65 Years or Older With Self-Reported Sleep Disturbances.

Increasingly, persons with self-reported health symptoms are using mobile health technologies to better understand, validate, and manage their symptoms. These off-the-shelf devices primarily utilize actigraphy to estimate sleep and activity. The purpose of this study was to describe qualitatively the experience of using a personal sleep monitoring device for sleep self-management in adults 65 years or older with self-reported sleep disturbances. This study followed a hybrid qualitative design using deductive and emergent coding derived from open-ended interviews (n = 25) after a period of 4 weeks using a wearable personal sleep monitoring device. Results expanded existing theoretical models on usability with the theme of personal meaning in the interaction between health and self-monitoring technology that were associated with age and technology use, privacy, and capability. Future studies for sleep health self-management and personally tailored interventions using personal sleep monitoring devices should continue to collect qualitative information in extending the understanding of user experience across different symptom clusters, such as sleep disturbances, that manifest more commonly in older age populations. This research is important for application in the use of mobile health technologies for nursing led health self-management interventions.

Usability Experience of a Personal Sleep Monitoring Device to Self-manage Sleep Among Persons 65 Years or Older With Self-reported Sleep Disturbances.

Increasingly, persons with self-reported health symptoms are using mobile health technologies to better understand, validate, and manage their symptoms. These off-the-shelf devices primarily utilize actigraphy to estimate sleep and activity. The purpose of this study was to describe qualitatively the experience of using a personal sleep monitoring device for sleep self-management in adults 65 years or older with self-reported sleep disturbances. This study followed a hybrid qualitative design using deductive and emergent coding derived from open-ended interviews (n = 25) after a period of 4 weeks using a wearable personal sleep monitoring device. Results expanded existing theoretical models on usability with the theme of personal meaning in the interaction between health and self-monitoring technology that were associated with age and technology use, privacy, and capability. Future studies for sleep health self-management and personally tailored interventions using personal sleep monitoring devices should continue to collect qualitative information in extending the understanding of user experience across different symptom clusters, such as sleep disturbances, that manifest more commonly in older age populations. This research is important for application in the use of mobile health technologies for nursing led health self-management interventions.

Mobile Health Technology Use and the Acceptability of an mHealth Platform for HIV Prevention Among Men Who Have Sex With Men in Malaysia: Cross-sectional Respondent-Driven Sampling Survey.

BackgroundThe growth in mobile technology access, utilization, and services holds great promise in facilitating HIV prevention efforts through mobile health (mHealth) interventions in Malaysia. Despite these promising trends, there is a dearth of evidence on the use of mHealth platforms that addresses HIV prevention among Malaysian men who have sex with men.ObjectiveThe goal of this study was to gain insight into (1) access and utilization of communication technology (eg, landline phone, internet, mobile phone), (2) acceptability of mHealth-based interventions for HIV prevention services, and (3) preferences regarding the format and frequency of mHealth interventions among Malaysian men who have sex with men.MethodsWe conducted a cross-sectional survey with Malaysian men who have sex with men between July 2018 and March 2020. Participants were recruited using respondent-driven sampling in the Greater Kuala Lumpur region of Malaysia. We collected information on demographic characteristics, HIV risk-related behaviors, access to and the frequency of use of communication technology, and acceptability of using mHealth for HIV prevention using a self-administered questionnaire with a 5-point scale (1, never; 2, rarely; 3, sometimes; 4, often; 5, all the time).ResultsA total of 376 men participated in the survey. Almost all respondents owned or had access to a smartphone with internet access (368/376, 97.9%) and accessed the internet daily (373/376, 99.2%), mainly on a smartphone (334/376, 88.8%). Participants on average used smartphones primarily for social networking (mean 4.5, SD 0.8), followed by sending or receiving emails (mean 4.0, SD 1.0), and searching for health-related information (mean 3.5, SD 0.9). There was high acceptance of the use of mHealth for HIV prevention (mean 4.1, SD 1.5), including for receiving HIV prevention information (345/376, 91.8%), receiving medication reminders (336/376, 89.4%), screening and monitoring sexual activity (306/376, 81.4%) or illicit drug use (281/376, 74.7%), and monitoring drug cravings (280/376, 74.5%). Participants overwhelmingly preferred a smartphone app over other modalities (eg, text, phone call, email) for engaging in mHealth HIV prevention tools. Preference for app notifications ranged from 186/336 (53.9%), for receiving HIV prevention information, to 212/336 (69.3%), for screening and monitoring sexual activity. Acceptance of mHealth was higher for those who were university graduates (P=.003), living in a relationship with a partner (P=.04), engaged in sexualized drug use (P=.01), and engaged in receptive anal sex (P=.006).ConclusionsFindings from this study provide support for developing and deploying mHealth strategies for HIV prevention using a smartphone app in men who have sex with men—a key population with suboptimal engagement in HIV prevention and treatment.

MHealth Applications to Monitor Lifestyle Behaviors and Circadian Rhythm in Clinical Settings: Current Perspective and Future Directions.

Metabolic diseases are a global rising health burden, mainly due to the deleterious interaction of current lifestyles with the underlying biology of these diseases. Daily habits and behaviors, such as diet, sleep, and physical exercise impact the whole-body circadian system through the synchronization of the peripheral body clocks that contribute to metabolic homeostasis. The disruption of this system may promote the development of metabolic diseases, including obesity and diabetes, emphasizing the importance of assessing and monitoring variables that affect circadian rhythms. Advances in technology are generating innovative resources and tools for health care management and patient monitoring, particularly important for chronic conditions. The use of mobile health technologies, known as mHealth, is increasing and these approaches are contributing to aiding both patients and healthcare professionals in disease management and education. The mHealth solutions allow continuous monitoring of patients, sharing relevant information and data with physicians and other healthcare professionals and accessing education resources to support informed decisions. Thus, if properly used, these tools empower patients and help them to adopt healthier lifestyles. This article aims to give an overview of the influence of circadian rhythms disruption and lifestyle habits in the progression of metabolic diseases while also reviewing some of the mobile applications available to monitor lifestyle behaviors and individual chronobiology. Herein is also described the design and development of the NutriClock system, an mHealth solution developed by our team to monitor these variables.

Social Media-Delivered Patient Education to Enhance Self-management and Attitudes of Patients with Type 2 Diabetes During the COVID-19 Pandemic: Randomized Controlled Trial.

BackgroundThe use of mobile health technologies has been necessary to deliver patient education to patients with diabetes during the COVID-19 pandemic.ObjectiveThis open-label randomized controlled trial evaluated the effects of a diabetes educational platform—Taipei Medical University–LINE Oriented Video Education—delivered through a social media app.MethodsPatients with type 2 diabetes were recruited from a clinic through physician referral. The social media–based program included 51 videos: 10 about understanding diabetes, 10 about daily care, 6 about nutrition care, 21 about diabetes drugs, and 4 containing quizzes. The intervention group received two or three videos every week and care messages every 2 weeks through the social media platform for 3 months, in addition to usual care. The control group only received usual care. Outcomes were measured at clinical visits through self-reported face-to-face questionnaires at baseline and at 3 months after the intervention, including the Simplified Diabetes Knowledge Scale (true/false version), the Diabetes Care Profile–Attitudes Toward Diabetes Scales, the Summary of Diabetes Self-Care Activities, and glycated hemoglobin (HbA1c) levels. Health literacy was measured at baseline using the Newest Vital Sign tool. Differences in HbA1c levels and questionnaire scores before and after the intervention were compared between groups. The associations of knowledge, attitudes, and self-care activities with health literacy were assessed.ResultsPatients with type 2 diabetes completed the 3-month study, with 91 out of 181 (50.3%) patients in the intervention group and 90 (49.7%) in the control group. The change in HbA1c did not significantly differ between groups (intervention group: mean 6.9%, SD 0.8% to mean 7.0%, SD 0.9%, P=.34; control group: mean 6.7%, SD 0.6% to mean 6.7%, SD 0.7%, P=.91). Both groups showed increased mean knowledge scores at 12 weeks, increasing from 68.3% (SD 16.4%) to 76.7% (SD 11.7%; P<.001) in the intervention group and from 64.8% (SD 18.2%) to 73.2% (SD 12.6%; P<.001) in the control group. Positive improvements in attitudes and self-care activities were only observed in the intervention group (attitudes: mean difference 0.2, SD 0.5, P=.001; self-care activities: mean difference 0.3, SD 1.2, P=.03). A 100% utility rate was achieved for 8 out of 21 (38%) medication-related videos. Low health literacy was a significant risk factor for baseline knowledge scores in the intervention group, with an odds ratio of 2.80 (95% CI 1.28-6.12; P=.01); this became insignificant after 3 months.ConclusionsThe social media–based program was effective at enhancing the knowledge, attitudes, and self-care activities of patients with diabetes. This intervention was also helpful for patients with low health literacy in diabetes knowledge. The program represents a potentially useful tool for delivering diabetes education to patients through social media, especially during the COVID-19 pandemic.Trial RegistrationClinicalTrials.gov NCT04876274; https://clinicaltrials.gov/ct2/show/results/NCT04876274

Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data.

BackgroundUncontrolled hypertension leads to significant morbidity and mortality. The use of mobile health technology, such as smartphones, for remote blood pressure (BP) monitoring has improved BP control. An increase in BP control is more significant when patients can remotely communicate with their health care providers through technologies and receive feedback. Little is known about the predictors of remote BP monitoring among hypertensive populations.ObjectiveThe objective of this study is to quantify the predictors of smartphone and tablet use in achieving health goals and communicating with health care providers via SMS text messaging among hypertensive patients in the United States.MethodsThis study was a cross-sectional, secondary analysis of the 2017 and 2018 Health Information National Trends Survey 5, cycles 1 and 2 data. A total of 3045 respondents answered “Yes” to the question “Has a doctor or other healthcare provider ever told you that you had high blood pressure or hypertension?”, which defined the subpopulation used in this study. We applied the Health Information National Trends Survey full sample weight to calculate the population estimates and 50 replicate weights to calculate the SEs of the estimates. We used design-adjusted descriptive statistics to describe the characteristics of respondents who are hypertensive based on relevant survey items. Design-adjusted multivariable logistic regression models were fitted to estimate predictors of achieving health goals with the help of smartphone or tablet and sending or receiving an SMS text message to or from a health care provider in the last 12 months.ResultsAn estimated 36.9%, SE 0.9% (183,285,150/497,278,883) of the weighted adult population in the United States had hypertension. The mean age of the hypertensive population was 58.3 (SE 0.48) years. Electronic communication with the doctor or doctor’s office through email or internet (odds ratio 2.93, 95% CI 1.85-4.63; P<.001) and having a wellness app (odds ratio 1.82, 95% CI 1.16-2.86; P=.02) were significant predictors of using SMS text message communication with a health care professional, adjusting for other demographic and technology-related variables. The odds of achieving health-related goals with the help of a tablet or smartphone declined significantly with older age (P<.001) and ownership of basic cellphones (P=.04). However, they increased significantly with being a woman (P=.045) or with being married (P=.03), having a wellness app (P<.001), using devices other than smartphones or tablets to monitor health (P=.008), making health treatment decisions (P=.048), and discussing with a provider (P=.02) with the help of a tablet or smartphone.ConclusionsIntervention measures accounting for age, gender, marital status, and the patient’s technology-related health behaviors are required to increase smartphone and tablet use in self-care and SMS text message communication with health care providers.

The influence of mobile app in Glycemic Control and Prevention of Hypoglycemics in Diabetic management: A Systematic Review

Background. The use of technology in the treatment of diabetes can facilitate the medium of communication between nurses and clients in data collection to create a comfortable life for patients. The use of mobile health technology in diabetic education is an innovative learning method that can engage patients and influence positive health behaviors. Aim. This study aims to find out the influence of mobile-based education applications in the Haemoglobin A1c control and prevention of hypoglycemia in patients with type 2 diabetes mellitus. Methods. Database search for article are from four databases such as Pubmed, Sciencedirect, Proquest, and Cochrane is limited to the publication of the last ten years from 2010 to 2021 and full text article in English. Authors individually screened the titles and abstracts, then full articles in order to obtain papers that met inclusion criteria Results. a total of 664 references were found. After duplicates were removed, 391 potentially relevant references remained from the database searches. Eight articles were finally designated as articles to be reviewed and use RCT design. Most studies put a Haemoglobin A1c (HbA1c) as a primary outcomes, and hypoglycemia as a secondary outcomes. Through the use of mobile app, there are reductions in HbA1c which affect the hypoglycemia events in Type 2 DM patients. Conclusion. Mobile application can enhance HbA1c and hypoglycemia control among T2DM patients. Because providing patient education face to face is time-consuming, the use of mobile application may be an effective complement or alternative for healthcare professionals to manage the rapidly increasing number of diabetes patients.

Evaluating mobile Health technology use among cancer caregivers in the digital era.

IntroductionDigital health technology-based interventions have the potential to support cancer caregivers in caregiving responsibilities and in managing their own health and well-being. The objective of this study was to examine the association between caregiving characteristics and different types of digital health technologies used in a national sample of caregivers of patients undergoing hematopoietic cell transplantation (HCT).MethodsWe conducted an online, cross-sectional survey of 948 HCT caregivers.ResultsSpousal caregivers comprised nearly one-third of respondents (27.1%) with a median age of 59 years (range: 18–80 years), compared with parents (32.9%: 38 years), adult children (28.9%: 38 years), and other (11.1%; e.g. friend, other family member: 36 years). Almost two-thirds (65.4%) of all respondents reported using an app for fitness or step counting and 41.3% reported using a smartwatch. However, spousal caregivers were the least likely group to use mobile apps (0.72; P < 0.005) or smartwatches (OR = 0.46; P < 0.005) compared with parent caregivers in models adjusted for demographics and coping style. Caregiving for six months or greater was associated with the use of fewer apps compared with caregiving for less than six months in adjusted models (OR = 0.80, P < 0.005). Caregivers of patients receiving an allogeneic transplant (i.e. non-self-donor) used more apps on average than caregivers of patients receiving an autologous transplant (i.e. self-donor) in adjusted models (OR = 1.36, P < 0.005).ConclusionDigital health technologies reflect promising avenues for supporting cancer caregivers. While digital technologies are becoming increasingly pervasive, older caregivers remain an underserved population. Future research should integrate older adult caregivers in the co-design and development activities of technology-driven caregiver support products.

Abstract 10918: Use of Mobile Health Technology in the Assessment of Statin-Associated Muscle Symptoms (SAMS)

Background: Statins are the cornerstone pharmacotherapy for lowering LDL-C and reducing risk of ASCVD. However, statin initiation and adherence are limited by statin-associated muscle symptoms (SAMS), posing significant clinical and public health dilemmas. Mobile health (mHealth) tools offer novel ways to assess real-time symptom data and share them back with patients to facilitate shared decision-making. Objective: To assess the feasibility and usability of an automated, text-message-based SAMS symptom-tracking platform to longitudinally track SAMS in patients who previously experienced muscle symptoms while on statin therapy. Methods: We enrolled 19 patients from 2 clinics at a single health system (Johns Hopkins; Baltimore, MD) and recorded baseline demographics, statin history and indication, perceptions of SAMS, and technology use via an online survey. Quantitative SAMS scores were gathered via daily text messages, and qualitative symptom data were collected in weekly text messages. Monthly symptom reports were sent to select participants via email on study days 30, 60 and 90. Upon study completion, participants reported perceptions of the study, the mHealth platform, and study measures via an online exit survey. Results: A total of 18 patients (aged 59.3 [SD 14.5] years, 67% women) collected data, and 15 patients completed the 90-day study protocol. Overall response rate to text messages was 91.5% (92.2% for daily SAMS messages, 86.0% for weekly muscle symptom prompts). Patients reported a statin adherence of 70%. Nine patients reported intolerable muscle symptoms at least once during the study, and intolerable symptom scores represented 3% of all reported symptom scores. Patients reported overall satisfaction with the study and found the SAMS scores helpful. Conclusions: Patients with previously reported SAMS successfully engaged with a text-message-based symptom-tracking platform with high interactivity and acceptability. This study demonstrates the feasibility and usability of an automated mHealth platform for longitudinally tracking SAMS in patients on statin therapy, and may provide a means for improving shared decision making to tailor statin therapy and improve adherence.

Technology Acceptance Among Patients With Hemophilia in Hong Kong and Their Expectations of a Mobile Health App to Promote Self-management: Survey Study.

BackgroundThe lifelong management of hemophilia is demanding and complex. In July 2019, we published a review in the Journal of Medical Internet Research, summarizing telehealth interventions that facilitate monitoring of bleeding events and promoting the appropriate use of clotting factors among patients with hemophilia. This work has led to the development of a community program that aims to harness technology to promote self-management among patients with hemophilia in Hong Kong.ObjectiveBefore the inception of this program, we conducted a cross-sectional survey to evaluate the patients’ level of technology acceptance and identify their expectations of the use of mobile technology for self-management of hemophilia.MethodsIn total, 56 participants (75% adult patients and 25% parents of pediatric patients; 87.5% with moderate to severe disease) were recruited from a local nongovernmental organization that serves patients with hemophilia. They rated their perceived confidence and acceptance in using the new mobile technology (score 1 to 5 for each item, with a higher score indicating better acceptance) using a structured questionnaire (adapted from the Technology Acceptance Model). They also identified the top features that they perceived to be the most important components of a mobile app for the self-management of hemophilia. The Mann–Whitney U test was used to compare technology acceptance scores across subgroups of different clinical and socioeconomic characteristics.ResultsIn general, the participants considered themselves skilled in using mobile apps (mean 4.3, 95% CI 4.1-4.5). They were willing to learn to use the new mobile app to organize their bleeding records (mean 4.0, 95% CI 3.7-4.3) and to manage their health (mean 4.2, 95% CI 4.1-4.5). Participants who lived in public housing (a surrogate marker for lower socioeconomic status in Hong Kong) reported lower technology acceptance than those who lived in private housing (P=.04). The most important features identified by the participants concerned documenting of infusion logs (n=49, 87.5%), bleeding events (n=48, 85.7%), and the secure delivery of the bleeding information to health care professionals (n=40, 71.4%).ConclusionsIt is encouraging to infer that patients with hemophilia in Hong Kong are receptive to the use of mobile health technology. The findings of this survey are applicable in designing the key features of a patient-centered, multimodal program harnessing mobile technology to promote self-management among patients with hemophilia. Future studies should evaluate participants’ acceptability and perceived usability of the mobile app via user metrics and assess clinical and humanistic outcomes of this program.

Electronic patient-reported outcome measures using mobile health technology in rheumatology: A scoping review.

This scoping review aims to characterize the current literature on electronic patient-reported outcome measures (ePROMs) in rheumatology and assess the feasibility and utility of ePROMs and mobile health technology in the management of rheumatic disease. Patient-reported outcome measures (PROMs) are commonly used in rheumatology as they are important markers of disease activity and overall function, encourage shared decision-making, and are associated with high rates of patient satisfaction. With the widespread use of mobile devices, there is increasing interest in the use of mobile health technology to collect electronic PROMs (ePROM). All primary studies that involve the collection of ePROMs using mobile devices by individuals with a rheumatic disease were included. Articles were excluded if ePROMs were measured during clinic appointments. A scoping review was performed using Medline, Embase, PsycINFO, and CINAHL with index terms and key words related to "patient-reported outcome measures", "rheumatic diseases", and "mobile health technology". A total of 462 records were identified after duplicates were removed. Of the 70 studies selected for review, 43% were conference proceedings and 57% were journal articles, with the majority published in 2016 or later. Inflammatory arthritis was the most common rheumatic disease studied. Generic ePROMs were used over three times more often than disease-specific ePROMs. A total of 39 (56%) studies directly evaluated the feasibility of ePROMs in clinical practice, 19 (27%) were clinical trials that used ePROMs as study endpoints, 9 (13%) were focus groups or surveys on smartphone application development, and 3 (4%) did not fit into one defined category. The use of ePROMs in rheumatology is a growing area of research and shows significant utility in clinical practice, particularly in inflammatory arthritis. Further research is needed to better characterize the feasibility of ePROMs in rheumatology and their impact on patient outcomes.

Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey.

Mobile health (mHealth) technologies have been identified as promising strategies for improving access to healthcare delivery and patient outcomes. However, the extent of availability and use of mHealth among healthcare professionals in Ghana is not known. The study’s main objective was to examine the availability and use of mHealth for disease diagnosis and treatment support by healthcare professionals in the Ashanti Region of Ghana. A cross-sectional survey was carried out among 285 healthcare professionals across 100 primary healthcare clinics in the Ashanti Region with an adopted survey tool. We obtained data on the participants’ background, available health infrastructure, healthcare workforce competency, ownership of a mobile wireless device, usefulness of mHealth, ease of use of mHealth, user satisfaction, and behavioural intention to use mHealth. Descriptive statistics were conducted to characterise healthcare professionals’ demographics and clinical features. Multivariate logistic regression analysis was performed to explore the influence of the demographic factors on the availability and use of mHealth for disease diagnosis and treatment support. STATA version 15 was used to complete all the statistical analyses. Out of the 285 healthcare professionals, 64.91% indicated that mHealth is available to them, while 35.08% have no access to mHealth. Of the 185 healthcare professionals who have access to mHealth, 98.4% are currently using mHealth to support healthcare delivery. Logistic regression model analysis significantly (p < 0.05) identified that factors such as the availability of mobile wireless devices, phone calls, text messages, and mobile apps are associated with HIV, TB, medication adherence, clinic appointments, and others. There is a significant association between the availability of mobile wireless devices, text messages, phone calls, mobile apps, and their use for disease diagnosis and treatment compliance from the chi-square test analysis. The findings demonstrate a low level of mHealth use for disease diagnosis and treatment support by healthcare professionals at rural clinics. We encourage policymakers to promote the implementation of mHealth in rural clinics.

Enhanced Recovery 2.0 - Same Day Discharge With Mobile App Follow-up After Minimally Invasive Colorectal Surgery.

To investigate the feasibility of SDD protocol with postdischarge follow-up using a mobile phone app in patients undergoing elective minimally-invasive colectomy. Discharge before gastrointestinal recovery and use of mobile health technology for remote follow-up may allow for SDD after minimally-invasive colectomy within an ERP. Adult patients undergoing elective laparoscopic colectomy or loop ileostomy reversal from February 2020 to November 2020 were screened for eligibility. Patients were eligible if they lived within a 30-minute drive from the hospital, had an adequate support system at home, and owned a smart phone. Patients were discharged from the recovery room on the day of surgery based on set criteria with postdischarge remote follow-up using a mobile application. Feasibility was defined as discharge on the day of surgery without emergency department (ED) visit or readmission within the first 3 days. 30-day complications, ED visits, and readmissions were compared to a non-SDD historical cohort (May 2019-March 2020) also remotely followed-up using the same mobile phone app (standard ERP group). A total of 48 patients were recruited to SDD, of which 77% were discharged on the day of surgery without subsequent ED visit in the first 72 hours. There were 11 patients that could not be discharged, including 7 for failure of discharge criteria and 4 for intraoperative complications/concerns. Overall 30-day complications in the SDD group (17%) was similar to the standard ERP group (15%, P = 0.813). ED visits (SDD10% vs standard ERP8%, P = 0.664) and readmissions (6% vs 4%, P = 0.681) were also similar. Findings from this study support the feasibility of a SDD protocol in select patients undergoing minimally-invasive colorectal resection. SDD colectomy protocols may represent the next evolution of ERP and postoperative recovery.

Evaluating the Service Quality of Mobile Health Versus Clinic Based Intervention in Hearing Healthcare. A Comparative Study

Hearing Healthcare is in midst of a paradigm shift and the use of mobile health technologies plays therefore a major role. Through the Bluetooth connectivity between the hearing aids and the smartphone with an accompanying app, the HCP can remotely access hearing aid settings during an online video session. In this study, 30 subjects were divided into a tele-audiology intervention and a clinic-based control group and followed up after an initial fitting for four weeks. At the beginning, structured interviews were used to determine the expectations on the service quality of a Hearing Aid Company, and these were compared with the actual perceived performances at the end of the study using the SERVQUAL model. Various advantages and disadvantages of both forms of intervention were identified. It could be concluded that a combination of both variants ensures the greatest possible perception of service quality.

The effect of a mobile application on treatment adherence and symptom management in patients using oral anticancer agents: A randomized controlled trial.

The use of mobile health technologies in the management of oral anticancer agents (OAA) can be beneficial in terms of treatment adherence and symptom management. This study was conducted to investigate the effect of a mobile application developed for patients using OAA on treatment adherence and symptom management. The study was conducted using a randomized controlled trial design, and it was carried out on 77 patients. Data were collected from the Oral Chemotherapy Adherence Scale (OCAS), and the Memorial Symptom Assessment Scale (MSAS). Data were collected at the beginning of the research, and face-to-face interviews were conducted after one, three, and six months. Patients in the intervention group were followed up for six months using the mobile application. It was found that there was no difference between the intervention and control groups in the baseline OCAS mean scores (p>0.05), and the mean score of the intervention group increased over the first, third- and sixth-month measurements (p<0.05). It was found that there was no difference between the intervention and control groups in the MSAS mean scores (p>.05), and there was a decrease in the mean MSAS score of the intervention group between the third- and sixth-month follow-up (p<.05). The present study results showed that the mobile application is effective in managing symptoms and increasing treatment adherence. A well-designed mobile health application that increases treatment adherence, decreases symptom severity, and supports patients' self-management could be beneficial for patients using OAA. CLINICALTRIALS. NCT04626830.

Adaptation and performance of a mobile application for early detection of cutaneous leishmaniasis.

BackgroundDetection and management of neglected tropical diseases such as cutaneous leishmaniasis present unmet challenges stemming from their prevalence in remote, rural, resource constrained areas having limited access to health services. These challenges are frequently compounded by armed conflict or illicit extractive industries. The use of mobile health technologies has shown promise in such settings, yet data on outcomes in the field remain scarce.MethodsWe adapted a validated prediction rule for the presumptive diagnosis of CL to create a mobile application for use by community health volunteers. We used human-centered design practices and agile development for app iteration. We tested the application in three rural areas where cutaneous leishmaniasis is endemic and an urban setting where patients seek medical attention in the municipality of Tumaco, Colombia. The application was assessed for usability, sensitivity and inter-rater reliability (kappa) when used by community health volunteers (CHV), health workers and a general practitioner, study physician.ResultsThe application was readily used and understood. Among 122 screened cases with cutaneous ulcers, sensitivity to detect parasitologically proven CL was >95%. The proportion of participants with parasitologically confirmed CL was high (88%), precluding evaluation of specificity, and driving a high level of crude agreement between the app and parasitological diagnosis. The chance-adjusted agreement (kappa) varied across the components of the risk score. Time to diagnosis was reduced significantly, from 8 to 4 weeks on average when CHV conducted active case detection using the application, compared to passive case detection by health facility-based personnel.ConclusionsTranslating a validated prediction rule to a mHealth technology has shown the potential to improve the capacity of community health workers and healthcare personnel to provide opportune care, and access to health services for underserved populations. These findings support the use of mHealth tools for NTD research and healthcare.

Prospective Intention-Based Lifestyle Contracts: mHealth Technology and Responsibility in Healthcare

As the rising costs of lifestyle-related diseases place increasing strain on public healthcare systems, the individual’s role in disease may be proposed as a healthcare rationing criterion. Literature thus far has largely focused on retrospective responsibility in healthcare. The concept of prospective responsibility, in the form of a lifestyle contract, warrants further investigation. The responsibilisation in healthcare debate also needs to take into account innovative developments in mobile health technology, such as wearable biometric devices and mobile apps, which may change how we hold others accountable for their lifestyles. Little is known about public attitudes towards lifestyle contracts and the use of mobile health technology to hold people responsible in the context of healthcare. This paper has two components. Firstly, it details empirical findings from a survey of 81 members of the United Kingdom general public on public attitudes towards individual responsibility and rationing healthcare, prospective and retrospective responsibility, and the acceptability of lifestyle contracts in the context of mobile health technology. Secondly, we draw on the empirical findings and propose a model of prospective intention-based lifestyle contracts, which is both more aligned with public intuitions and less ethically objectionable than more traditional, retrospective models of responsibility in healthcare.

Associations Between Mobile Health Technology use and Self-rated Quality of Life: A Cross-sectional Study on Older Adults with Cognitive Impairment

Background: Quality of life (QoL) is affected even at early stages in older adults with cognitive impairment. The use of mobile health (mHealth) technology can offer support in daily life and improve the physical and mental health of older adults. However, a clarification of how mHealth technology can be used to support the QoL of older adults with cognitive impairment is needed. Objective: To investigate factors affecting mHealth technology use in relation to self-rated QoL among older adults with cognitive impairment. Methods: A cross-sectional research design was used to analyse mHealth technology use and QoL in 1,082 older participants. Baseline data were used from a multi-centered randomized controlled trial including QoL, measured by the Quality of Life in Alzheimer’s Disease (QoL-AD) Scale, as the outcome variable. Data were analyzed using logistic regression models. Results: Having moderately or high technical skills in using mHealth technology and using the internet via mHealth technology on a daily or weekly basis was associated with good to excellent QoL in older adults with cognitive impairment. Conclusions: The variation in technical skills and internet use among the participants can be interpreted as an obstacle for mHealth technology to support QoL.

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey.

BackgroundThe burden of population aging and chronic conditions has been reported worldwide. Older adults, especially those with high needs, experience social isolation and have high rates of emergency visits and limited satisfaction with the care they receive. Mobile health (mHealth) technologies present opportunities to address these challenges. To date, limited information is available on Canadian older adults’ attitudes toward and use of mHealth technologies for self-tracking purposes—an area that is increasingly important and relevant during the COVID-19 era.ObjectiveThis study presents contributions to an underresearched area on older adults and mHealth technology use. The aim of this study was to compare older adults’ use of mHealth technologies to that of the general adult population in Canada and to investigate the factors that affect their use.MethodsA cross-sectional survey on mHealth and digital self-tracking was conducted. A web-based questionnaire was administered to a national sample of 4109 Canadian residents who spoke either English or French. The survey instrument consisted of 3 sections assessing the following items: (1) demographic characteristics, health status, and comorbidities; (2) familiarity with and use of mHealth technologies (ie, mobile apps, consumer smart devices/wearables such as vital signs monitors, bathroom scales, fitness trackers, intelligent clothing); and (3) factors influencing the continued use of mHealth technologies.ResultsSignificant differences were observed between the older adults and the general adult population in the use of smart technologies and internet (P<.001). Approximately 47.4% (323/682) of the older adults in the community reported using smartphones and 49.8% (340/682) indicated using digital tablets. Only 19.6% (91/463) of the older adults using smartphones/digital tablets reported downloading mobile apps, and 12.3% (47/383) of the older adults who heard of smart devices/wearables indicated using them. The majority of the mobile apps downloaded by older adults was health-related; interestingly, their use was sustained over a longer period of time (P=.007) by the older adults compared to that by the general population. Approximately 62.7% (428/682) of the older adults reported tracking their health measures, but the majority did so manually. Older adults with one or more chronic conditions were mostly nontrackers (odds ratio 0.439 and 0.431 for traditional trackers and digital trackers, respectively). No significant differences were observed between the older adults and the general adult population with regard to satisfaction with mHealth technologies and their intention to continue using them.ConclusionsLeveraging mHealth technologies in partnership with health care providers and sharing of health/well-being data with health care professionals and family members remain very limited. A culture shift in the provision of care to older adults is deemed necessary to keep up with the development of mHealth technologies and the changing demographics and expectations of patients and their caregivers.