Chat-ePRO: Development and pilot study of an electronic patient-reported outcomes system based on ChatGPT

OBJECTIVE

Chatbots have the potential to improve user compliance in electronic Patient-Reported Outcome (ePRO) system. Compared to rule-based chatbots, Large Language Model (LLM) offers advantages such as simplifying the development process and increasing conversational flexibility. However, there is currently a lack of practical applications of LLMs in ePRO systems. Therefore, this study utilized ChatGPT to develop the Chat-ePRO system and designed a pilot study to explore the feasibility of building an ePRO system based on LLM.

MATERIALS AND METHODS

This study employed prompt engineering and offline knowledge distillation to design a dialogue algorithm and built the Chat-ePRO system on the WeChat Mini Program platform. In order to compare Chat-ePRO with the form-based ePRO and rule-based chatbot ePRO used in previous studies, we conducted a pilot study applying the three ePRO systems sequentially at the Sir Run Run Shaw Hospital to collect patients' PRO data.

RESULT

Chat-ePRO is capable of correctly generating conversation based on PRO forms (success rate: 95.7 %) and accurately extracting the PRO data instantaneously from conversation (Macro-F1: 0.95). The majority of subjective evaluations from doctors (>70 %) suggest that Chat-ePRO is able to comprehend questions and consistently generate responses. Pilot study shows that Chat-ePRO demonstrates higher response rate (9/10, 90 %) and longer interaction time (10.86 s/turn) compared to the other two methods.

CONCLUSION

Our study demonstrated the feasibility of utilizing algorithms such as prompt engineering to drive LLM in completing ePRO data collection tasks, and validated that the Chat-ePRO system can effectively enhance patient compliance.

Should We Better Stick to Pen and Paper? An Empirical Investigation on Functionality, Privacy and Data-Security of Physiotherapy Telehealth Applications

BACKGROUND

Telehealth and mHealth apps become increasingly popular in health professions such as physiotherapy calling for increased awareness on functionality, privacy, and data security.

OBJECTIVES

This work presents a functionality, privacy, and data-security evaluation of four telehealth services commonly used in physiotherapy.

METHODS

We examined functionality and features, data protection, privacy implementations and data-security with a questionnaire and performed an in-depth investigation of the services.

RESULTS

Privacy and security relevant findings such as use of outdated webservers, problems with certificate renewal as well as questionable GDPR compliance were reported.

CONCLUSION

Due to the privacy and security relevant findings in this analysis it can be concluded that there is a need for improvement in design, development, operation as well as regulation of telehealth apps and services.

The effect of personalized mobile health (mHealth) in cardiac rehabilitation for discharged elderly patients after acute myocardial infarction on their inner strength and resilience

INTRODUCTION

Given the importance of promoting self-care and quality of life for discharged elderly patients after acute Myocardial Infarction(MI), It is necessitated we conduct interventions to promote these items. This study was conducted to determine the effect of mHealth-Cardiac rehabilitation (CR) on the inner Strength and resilience of elderly patients with MI after discharge from the hospital.

METHODS

The present study was a randomized controlled trial that was conducted on 56 Elderly patients with myocardial infarction were discharged from the heart departments. In the intervention group after the patient's discharge, the patients were contacted twice a week for one month and the necessary training and support were given online. To gather data, the Mini-Mental State Examination (MMSE), the demographic and clinical characteristics questionnaire, the inner strength scale (ISS), and the Connor-Davidson Resilience Scale (CD-RISC) were completed pre- and post-intervention. The data analysis was done by SPSS16.

RESULTS

This study showed the mean resilience and inner strength scores before and after the intervention in the control group had no statistically significant difference(P˃0.05). There was a significant increase in the mean resilience and inner strength scores in the intervention group after the intervention (P ≤ 0.001).

CONCLUSION

The results of this study showed that mHealth as a kind of telenursing nursing has a significant effect on both variables of inner strength and resilience of post-discharge elderly patients after acute myocardial infarction. This means that using mHealth for these patients could increase the inner strength and resilience of the elderly discharged after myocardial infarction. Therefore, through using this method, elderly patients' self-care ability and quality of life could be increased.

Determining the Content of a Melanoma Prevention and Care Mobile Application for Melanoma Patients: A Survey Study

OBJECTS

Skin cancer is one of the most common cancers and melanoma is the deadliest type of skin cancer. Since the Mobile based health interventions have significant effects in the management of diseases. This study aimed to determining the content of melanoma prevention and care application.

METHODS

This is a descriptive study that was conducted in three stages. at first, in order to identify the features of the application, search was conducted based on PubMed, Google Scholar ، Scopus databases.  In the second step, in order to determine the content of information, articles and guidelines related to melanoma were searched. In the third stage, in order to ensure the validity of researcher-made questionnaire, a survey was conducted by 51 experts based on targeted sampling. The collected data were analyzed.

RESULTS

demographic and clinical information and melanoma prevention training was common in 14 reviewed applications; The possibility of sending reminders for patients was less considered. Most of the articles have paid attention to the data elements: age, gender, history of sunburn, skin color and history of cancer, exposure to ultraviolet rays, how to care for the skin. The content of the melanoma prevention and care application consists of three general sections: 1- Demographic, clinical information and melanoma risk factors; 2- Educational needs; 3- Features and capabilities of the application for prevention and care  were formed. The results of the expert survey showed that 81% of the section1, 80% of the section2, and 91% of the section3 were approved.

CONCLUSIONS

Mobile applications has an effective role in disease management and accelerating the provision of health services and reducing the costs of providing services. Melanoma prevention and care application can be an aid in patient education and ultimately better disease management in the field of prevention and care during the current crisis.

Physical Activity Supported by Low-Cost Mobile Technology for Back Pain (PAT-Back) to Reduce Disability in Older Adults: Results of a Feasibility Study

OBJECTIVE

The purpose of this study was to evaluate the feasibility of a randomized controlled trial investigating the effectiveness of a multimodal program (PAT-Back) compared to best practice advice on pain and disability in older adults with chronic low back pain (LBP) in primary care.

METHODS

This feasibility study took place in Fortaleza, Northeast Brazil. The PAT-Back intervention consisted of a program including exercises, pain education, and motivational text messages for the in-home component. The control group received an evidence-based educational booklet. Feasibility outcomes were recruitment, adherence and retention rates, level of difficulty of the education and intervention content, perception of utility of mobile technology, and adverse events. The feasibility criteria were previously defined.

RESULTS

A total of 248 people were screened, of which 46 older adults were eligible. The retention rate was high (100% in the PAT-Back group and 95% in the control group). The adherence rate to intervention was partially met (60%), whereas the adherence rate to unsupervised exercises was adequate (75%), and perception about safety to perform home exercise was partially acceptable (70%) in the PAT-Back group. In addition, 100% of older adults reported which text messages motivated them to perform the exercises in the PAT-Back group. Difficulty reported by participants in understanding and performing the intervention was small in both groups. Six participants reported transient adverse events in both groups.

CONCLUSION

Older adults accepted both interventions. Results demonstrated that the program is feasible, although minor changes targeting adherence and safety in home exercise are needed.

IMPACT

This feasibility study supports progression to a full trial investigating the effectiveness of a multimodal program (PAT-Back) on pain and disability in older adults with chronic LBP within a primary health care setting in low to middle income countries where such data from the older population are scarce and the burden of LBP is increasing.

Attributes of Provider Referrals for Digital Mental Health Applications in an Integrated Health System, 2019-2021

OBJECTIVE

This article describes trends and attributes associated with digital mental health application (DMHA) referrals from December 2019 through December 2021.

METHODS

In total, 43,842 DMHA referrals for 25,213 unique patients were extracted from the electronic health record of a large, diverse, integrated health system. DMHAs were aggregated by type (cognitive-behavioral therapy [CBT] or mindfulness and meditation [MM]). Monthly referral patterns were described and categorized into mutually exclusive clusters (MM, CBT, or MM and CBT). Multinomial logistic regression and post hoc predicted probabilities were used to profile patient, clinical, and encounter attributes among referral clusters.

RESULTS

DMHA referrals increased, reached equilibrium, and then began to decline over the 25-month observation period. Compared with the referral cluster average, MM-alone referrals were more likely to occur for patients who were ages ≥65, who were Hispanic or Asian, whose reason for visit concerned mental health, and who had a primary diagnosis of other anxiety disorders. CBT-alone referrals were more likely to occur for patients with a primary diagnosis of depression and less likely to occur for Hispanic patients. Combined MM and CBT referrals were more likely to occur for patients who were ages 18-30, whose reason for visit was "other," and who had a primary diagnosis of depression and were less likely to occur for Hispanic patients and those ages ≥65.

CONCLUSIONS

Although this study demonstrates readiness to integrate DMHA referral into clinical workflows, observed variations in attributes of referral clusters support the need to further investigate provider decision making and whether referral patterns are optimal and sustainable.

Effectiveness of mobile technology and utilization of maternal and neonatal healthcare in low and middle-income countries (LMICs): a systematic review

BACKGROUND

Maternal and neonatal mortality are important indicators of the development of a nation and pose a severe health concern, especially in developing and Low and Middle-Income Countries (LMICs). Healthcare providers use various mobile technologies as tools to provide antenatal, delivery, and postnatal care and thereby promote maternal and child health. We conducted a systematic review to critically assess the existing literature on the effectiveness of mobile phone technology in maternal and neonatal healthcare (MNH) utilization, especially in LMICs in Asia and Africa.

METHODS

A systematic search strategy was developed, and Boolean combinations of relevant keywords were utilized to search relevant literature on three electronic databases (PubMed/Medline, Scopus, and Google Scholar) from 2012 to 2022. After assessing the inclusion and exclusion criteria, 25 articles were selected for systematic review. A narrative synthesis strategy was applied to summarise the information from the included literature.

RESULTS

This review reveals that research and evaluation studies on mobile phone or Mobile Health (mHealth) and MNH service utilization substantially varied by research designs and methodology. Most studies found that mobile phone technology is highly appreciable in improving several MNH indicators, especially in LMICs. Despite the identified benefits of mobile technology in MNH utilization, some studies also mentioned challenges related to technology use and misuse, rich-poor discrimination, and disparity in phone ownership need to be addressed.

CONCLUSION

There is constantly increasing evidence of mobile counseling and the use of digital technology in the MNH care system. Public health practitioners and policymakers need to make efforts to smooth the functioning of technology-based healthcare services, considering all the issues related to the confidentiality and safety of health-related data on the Internet.

Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study

BACKGROUND

This study aimed to assess health care needs, electronic health literacy, mobile phone usage, and intention to use it for self-management purposes by informal caregivers of children with burn injuries.

METHODS

This cross-sectional research was carried out in 2021 with 112 informal caregivers of children with burns in a burn center in the north of Iran. The data collection tools were questionnaires that included the participants' demographics, their E-Health Literacy, their current mobile phone usage, and their desires for mobile phone use for burn care services.

RESULTS

Most informal caregivers had smartphones (83.0%) and Internet access (81.3%). Most participants occasionally used phone calls (63.4%), the Internet (45.5%), and social media (42.9) to receive information about psychosocial disorders, infection control, wound care, pain, itch, physical exercise, and feeding. Most participants have never used some of the mobile phone functionalities to receive burn-related information, such as applications/Software (99.1%) and e-mail (99.1%). Nevertheless, most informal caregivers desire to use mobile applications for self-management purposes in the future (88.4%). The mean eHealth literacy score was 25.01 (SD = 9.61). Informal caregivers who had higher education levels, access to the Internet, and lived in urban areas had higher eHealth literacy (P < 001).

CONCLUSION

The current research delivers beneficial information about the healthcare needs of informal caregivers and their preference to use mobile functionality to receive burns-related healthcare and rehabilitation information post-discharge. This information can help design and implement mobile health (mHealth) interventions to enhance the self-care skills of informal caregivers.

Enhancing Women's Health: An Assessment of Data Privacy and Security of Menopause FemTech Applications

Menopausal women increasingly rely on FemTech apps to manage their symptoms, as mobile applications can provide a convenient and easily accessible health solution. However, this scoping review and content analysis of 14 menopause apps available on Google Play in the European Union found that most applications categorisation is not aligning with their features as well as lack adequate data privacy and security sufficiency. Thereby sensitive health data of menopausal women are put at risk, highlighting the need for collaborative efforts between developers and regulators to implement effective and achievable data protection practices to enhance menopausal women's data safely.

ASSESSING TIME-VARYING CAUSAL EFFECT MODERATION IN THE PRESENCE OF CLUSTER-LEVEL TREATMENT EFFECT HETEROGENEITY AND INTERFERENCE

The micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points. MRTs have motivated a new class of causal estimands, termed "causal excursion effects", for which semiparametric inference can be conducted via a weighted, centered least squares criterion (Boruvka et al., 2018). Existing methods assume between-subject independence and non-interference. Deviations from these assumptions often occur. In this paper, causal excursion effects are revisited under potential cluster-level treatment effect heterogeneity and interference, where the treatment effect of interest may depend on cluster-level moderators. Utility of the proposed methods is shown by analyzing data from a multi-institution cohort of first year medical residents in the United States.

Prescribing Behavior and Reasonable Price for Mental Health DiGAs - Results of a Pilot Study

BACKGROUND

Since the Digital Health Care Act came into force in 2020, mHealth services can be prescribed and reimbursed as DiGAs in Germany. The most reimbursable DiGAs can be found in the area of psychiatric diseases. Little is known about the prescribing behavior of medical and psychological psychotherapists and the price they considered reasonable.

OBJECTIVES

To gather more detailed knowledge about the prescription behavior, appropriate diagnosis, reasonable price and importance of relevant characteristics.

METHODS

Online survey of 38 medical and psychological psychotherapists working in central Hesse.

RESULTS

Just under a third have prescribed DiGAs to date; suitable diagnoses include somatoform disorders, anxiety disorders and addictive disorders. Medical quality, user- friendliness and data protection are considered important. the reasonable price is below the current average market price.

CONCLUSION

The DiGAs do not seem to be prescribed by psychotherapists on a broad scale yet, the suitable indications are in line with the market offer, although the prices seem to be too high from the prescribers' point of view.

Pregnant women's use and attitude toward Mobile phone features for self-management

BACKGROUND

This study aimed to examine the current use of mobile phones by pregnant women and their attitudes towards the use of a variety of prenatal care services through mHealth.

METHODS

This descriptive cross-sectional study was conducted in Iran in 2021. The study population included 168 pregnant women who referred to specialist obstetrics and gynecology clinic. The data collection tool was a questionnaire that included the demographics of the participants, their current mobile phone usage, and their attitudes toward mobile phone use for prenatal care services. The data were analyzed in SPSS with descriptive and analytical statistics.

RESULTS

The majority of participants (84.2%) had a smartphone and access to mobile internet. More than half of the respondents (58.9%) used their mobile phone for (only) phone calls, and 36.7% occasionally used mobile internet to access prenatal care services. To get information about the pregnancy and to communicate with other pregnant women, the participants mainly used social media, and to get reminders, they preferred phone calls.

CONCLUSIONS

In this study, pregnant women have a positive attitude towards using mobile phones for obtaining health services and prefer social media to seek prenatal care services. There seems to be a need for pregnant women to have high levels of digital health literacy and be advised by healthcare providers on using this technology to access prenatal care services.

Feasibility and user acceptability of Breezing™, a mobile indirect calorimetry device, in pregnant women with overweight or obesity

Emerging evidence has suggested that prenatal resting energy expenditure (REE) may be an important determinant of gestational weight gain. Advancements in technology such as the real-time, mobile indirect calorimetry device (Breezing™) have offered the novel opportunity to continuously assess prenatal REE while also potentially capturing fluctuations in REE. The purpose of this study was to examine feasibility and user acceptability of Breezing™ to assess weekly REE from 8-36 weeks gestation in pregnant women with overweight or obesity participating in the Healthy Mom Zone intervention study. Participants (N=27) completed REE assessments once per week from 8-36 gestation using Breezing™. Feasibility of the device was calculated as compliance (# of weeks used/total # of weeks). User acceptability was measured by asking women to report on the device's enjoyability and barriers. Median compliance was 68%. However, when weeks women experienced technical difficulties (11 of 702 total events) and the device was unavailable were removed (13 of 702 total events), median compliance increased to 71%. Over half (56%) of the women reported that the device was enjoyable or they had neutral feelings about it whereas the remaining 44% reported that it was not enjoyable. The most common barrier reported (44%) was the experience of technical issues. Study compliance data suggest the feasibility of using Breezing™ to assess prenatal REE is promising. However, acceptability data suggest future interventionists should develop transparent and informative protocols to address any barriers prior to implementing the device to increase use.

Stability monitoring of patients with myasthenia gravis using a mobile-based application

Background: Failure in early diagnosis of myasthenia gravis (MG) and the risks of taking certain medications and undergoing surgery and anesthesia can lead to severe respiratory disorders and death. However, there are therapeutic measures that significantly control the disease and improve individual's functionality. Methods: First, an expert panel was formed, and a needs assessment questionnaire was prepared for the information elements and the capabilities required for the application and provided to neurologists with a subspecialty fellowship in neuromuscular diseases. Then, based on the analyzed results, the application was designed and created in 2 versions (physician and patient), and in 2 languages (Persian and English). Eventually, a questionnaire for user interaction and satisfaction was provided to 5 relevant physicians to evaluate the application. Results: The results showed that neurologists considered all items of the needs assessment questionnaire to be 100% essential. The capabilities of the application included registering the medication name and dose, recording symptoms and complaints by the patient, completing standard questionnaires, online chat, medication reminder, sending alerts to the doctor when the patient is unwell, and providing a variety of reports. The usability evaluation showed that neurologists evaluated the application at a good level with the average score of 8.23 ± 0.47 (out of 9 points). Conclusion: In the long run, using this technology can reduce costs, improve patients' quality of life (QOL) and health care, change health behaviors, and ultimately, improve individual's health.

Realistic Evaluation of the Integrated Electronic Diagnosis Approach (IeDA) for the Management of Childhood Illnesses at Primary Health Facilities in Burkina Faso

BACKGROUND

In 2014, Terre des Hommes (Tdh) together with the Ministry of Health (MoH) launched the Integrated electronic Diagnosis Approach (IeDA) intervention in two regions of Burkina Faso consisting of supplying every health centre with a digital algorithm. A realistic evaluation was conducted to understand the implementation process, the mechanisms by which the IeDA intervention lead to change.

METHODS

Data collection took place between January 2016 and October 2017. Direct observation in health centres were conducted. In-depth interviews were conducted with 154 individuals including 92 healthcare workers (HCW) from health centres, 16 officers from district health authorities, 6 members of health centre management committees. In addition, 5 focus groups were organised with carers. The initial coding was based on a preliminary list of codes inspired by the middle-range theory (MRT).

RESULTS

Our results showed that the adoption of the electronic protocol depended on a multiplicity of management practices including role distribution, team work, problem solving approach, task monitoring, training, supervision, support and recognition. Such changes lead to reorganising the health team and redistributing roles before and during consultation, and positive atmosphere that included recognition of each team member, organisational commitment and sense of belonging. Conditions for such management changes to be effective included open dialog at all levels of the system, a minimum of resources to cover the support services and supervision and regular discussions focusing on solving problems faced by health centre teams.

CONCLUSION

This project reinforces the point that in a successful diffusion of IeDA, it is necessary to combine the introduction of technology with support and management mechanisms. It also important to highlight that managers' attitude plays a great place in the success of the intervention: open dialog and respect are crucial dimensions. This is aligned with the findings from other studies.

Digitalized transcranial electrical stimulation: A consensus statement

OBJECTIVE

Although relatively costly and non-scalable, non-invasive neuromodulation interventions are treatment alternatives for neuropsychiatric disorders. The recent developments of highly-deployable transcranial electric stimulation (tES) systems, combined with mobile-Health technologies, could be incorporated in digital trials to overcome methodological barriers and increase equity of access. The study aims are to discuss the implementation of tES digital trials by performing a systematic scoping review and strategic process mapping, evaluate methodological aspects of tES digital trial designs, and provide Delphi-based recommendations for implementing digital trials using tES.

METHODS

We convened 61 highly-productive specialists and contacted 8 tES companies to assess 71 issues related to tES digitalization readiness, and processes, barriers, advantages, and opportunities for implementing tES digital trials. Delphi-based recommendations (>60% agreement) were provided.

RESULTS

The main strengths/opportunities of tES were: (i) non-pharmacological nature (92% of agreement), safety of these techniques (80%), affordability (88%), and potential scalability (78%). As for weaknesses/threats, we listed insufficient supervision (76%) and unclear regulatory status (69%). Many issues related to methodological biases did not reach consensus. Device appraisal showed moderate digitalization readiness, with high safety and potential for trial implementation, but low connectivity.

CONCLUSIONS

Panelists recognized the potential of tES for scalability, generalizability, and leverage of digital trials processes; with no consensus about aspects regarding methodological biases.

SIGNIFICANCE

We further propose and discuss a conceptual framework for exploiting shared aspects between mobile-Health tES technologies with digital trials methodology to drive future efforts for digitizing tES trials.

Expert appraisal and prioritization of barriers to mHealth use for older adults living with Alzheimer's disease and related Dementias: A Delphi study

INTRODUCTION

Older adults living with Alzheimer's disease and related dementias (ADRD) can benefit from mHealth innovations in (daily) care. However, successful implementation and adoption of such innovations can be hindered by a lack of inclusive design. Inclusive design can be challenging, due to the variety of ADRD- and aging-related symptoms that can pose barriers to using mHealth. Previously, a literature-based model with 53 barriers to mHealth use for this population has been developed ("MHealth for OLder adults living with DEMentia - USability" or MOLDEM-US). In this study, we aim to prioritize these through a Delphi study with ADRD experts (case managers, informal caregivers, hospital healthcare professionals, district nurses, and researchers).

METHODS

In the first round, participant characteristics and potentially new insights into barriers to mHealth use for older adults living with ADRD were gathered. The consensus questionnaire was submitted in the second round, containing barriers to mHealth use for this population (from MOLDEM-US) with questions inquiring its impact and frequency. In the third round, participants rejudged those barriers for which no consensus (<51 %) or minor consensus (51 % - 60 %) was reached.

RESULTS

Thirty-seven participants completed the three rounds of the study. Consensus was reached for eleven barriers after the second round, all having major impact and frequency: integration of functions during daily activities, perceived complexity, efficiency in seeing benefits, trust in own ability, restlessness and agitation, computer literacy, self confidence in using wearables, learnability, working memory, and visual acuity.

CONCLUSION

After round three, consensus was achieved for all 53 barriers. Twenty-six barriers are considered to majorly affect mHealth use, most of which relate to cognition and frame of mind. This study contributes to the development of mHealth design guidelines that take into account the progressive and diverse ADRD- and aging-related symptoms negatively affecting mHealth implementation and adoption.

Going digital - a commentary on the terminology used at the intersection of physical activity and digital health

In recent years digital technologies have become a major means for providing health-related services and this trend was strongly reinforced by the current Coronavirus disease 2019 (COVID-19) pandemic. As it is well-known that regular physical activity has positive effects on individual physical and mental health and thus is an important prerequisite for healthy aging, digital technologies are also increasingly used to promote unstructured and structured forms of physical activity. However, in the course of this development, several terms (e.g., Digital Health, Electronic Health, Mobile Health, Telehealth, Telemedicine, and Telerehabilitation) have been introduced to refer to the application of digital technologies to provide health-related services such as physical interventions. Unfortunately, the above-mentioned terms are often used in several different ways, but also relatively interchangeably. Given that ambiguous terminology is a major source of difficulty in scientific communication which can impede the progress of theoretical and empirical research, this article aims to make the reader aware of the subtle differences between the relevant terms which are applied at the intersection of physical activity and Digital Health and to provide state-of-art definitions for them.

Stakeholder Mapping on the Development of Digital Health Interventions for Self-Management Among Patients with Chronic Obstructive Pulmonary Disease in China

Chronic Obstructive Pulmonary Disease (COPD) is a progressive lung disease consisting of chronic bronchitis and emphysema. Digital Health Interventions (DHIs) can improve COPD patients' self-management. However, the market penetration of DHIs is lower than expected. Using stakeholder mapping, healthcare providers identified opportunities for design and development of sustainable DHIs. Two different stakeholder maps were identified. These maps demonstrated the importance of utilizing structured mapping techniques to understand roles of different stakeholders, and addressing regulatory and practice needs to ultimately support patient self-management.

Developing Android, iOS Apps for Mobile-Enhanced Prevention Support (MEPS) for Men Who Have Sex with Men (MSM) and Transgender Women (TW) Leaving Jail in South Los Angeles in the USA

MSM and TW personnel, who underwent criminal justice involvement (CJI) in the USA, have a particularly high HIV burden. The post-incarceration period following community reentry is critical for addressing potential risks of HIV/STI acquisition and negative sequelae of substance use. To address this scenario, we designed a new intervention that includes a GPS based mobile app (called GeoPass), peer support and incentives for promoting the use of HIV prevention, substance use treatment, and related services.

Development of an Application for Sustainable Support of Returning Residents Displaced by the Fukushima Nuclear Accident

We developed a mobile application (app) to help communication between support providers and residents who have returned from evacuation after the Fukushima nuclear power plant accident. Surveys were conducted among returning residents and support providers in coastal areas of Fukushima Prefecture, from which application functions and layout were decided. App functions were included to estimate external exposure, monitor health, and facilitate interactive health counseling.

Mobile Health Applications for Postpartum Depression Management: A Theory-Informed Analysis of Change-Use-Engagement (CUE) Criteria in the Digital Environment

Postpartum Depression (PPD) is the most common childbirth complication, with approximately 15% of postpartum women experiencing depression symptoms. Mobile applications have potential to expand delivery of mental health interventions. However, our understanding of how these tools engage women with PPD and facilitate positive behavioral changes is limited. In our paper, we analyze 15 commercial PPD applications to understand their role as facilitators of change, engagement, and sustained use. Applications reviewed contained an average of four theory-based behavioral change techniques, and highest patient engagement level reached was to empower patients through patient-generated data. Heuristic violations were identified in areas including user control and freedom, aesthetic and minimalist design, and help and documentation. An inverse correlation was found between the number of theory-based behavior change features and patient engagement. Findings suggest underserved populations may suffer further limitations accessing relevant health resources in the current application market.

Dementia-Related Barriers to mHealth Use: Validation by Expert Opinion

mHealth use for people with dementia is fraught with factors influencing its implementation in care and daily life. A better understanding of these factors may provide guidelines to inclusive design. This study aimed to assess whether factors gathered in a literature-based model could be validated by opinions of experts. On basis of a questionnaire as part of a larger study, experts identified barriers that they considered to be related to aging and dementia influencing mHealth use. Nineteen barriers that were mentioned by the dementia experts were covered in our literature-based model. No adaptions to the model were required. The dementia experts acclaimed three barriers to mHealth use that could not be mapped onto the framework: the unavailability of (informal) caregivers to support the mHealth use, the stage and type of dementia of an mHealth user, and the fear of the unknown. These should be considered as prerequisites in the implementation phase of mHealth and explored more in future research.

Key Elements for the Evaluation of mHealth Applications: Results from a Delphi Survey

Mobile Health (mHealth) applications have seen strong growth in recent years, but they are often not systematically evaluated. A Delphi survey was conducted to identify key elements for the evaluation of mHealth applications. Sixteen experts participated in the study, and the study yielded a list of 79 key elements with expert consensus. Thirty-two elements were in the category of structure quality, 29 in process quality, and 18 in outcome quality. The number of key elements highlights the complexity of conducting systematic evaluations of mHealth applications.

Trends of blood pressure control in the U.S. during the COVID-19 pandemic

Importance

COVID-19 altered lifestyles and disrupted routine health care. Whether blood pressure (BP) control worsened during COVID-19 is unknown.

Objective

To understand whether home BP control worsened during COVID-19 across the United States (US) .

Design, Setting, and Participants

A population-based analysis of home BP data from 72,706 participants enrolled in a digital health hypertension control program. Data was compared before (January 2019 to March 2020) and during (April 2020 to August 2020) COVID-19.

Main Outcomes and Measures

Monthly mean home BP readings, systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) were quantified before and during the pandemic. Multivariable adjustments were made for age, sex, race, region, and months enrolled. Home BP readings were also classified based on monthly averages and highest home BP readings into risk groups: Stage 2 HTN: BP> = 135 or DBP> = 85; Uncontrolled HTN: SBP> = 145 or DBP> = 95; or Severely uncontrolled HTN: SBP> = 160 or DBP> = 100).

Results

Overall, 72,706 participants were enrolled in a digital health hypertension program between 1/1/2019 and 8/31/2020. Compared with participants pre-COVID-19 (n = 33,440), those during COVID-19 (n = 39,266) were of similar age (mean 53.0 ± 10.7 years vs 53.3 ± 10.8 years); sex (46% vs 50.6% female) and race (29.1% vs 34.2% non-white). Relative to pre-Covid (Apr-Aug 2019) the mean monthly number of home BP readings rose during COVID-19 (Apr-Aug, 2020), from 7.3 to 9.3 per month (P < .001). During COVID-19, participants had higher monthly adjusted mean SBP (131.6 mmHg vs. 127.5 mmHg, P < .001); DBP (80.2 mmHg vs. 79.2 mmHg, P < .001); and MAP (97.4 mmHg vs. 95.3 mmHg; P < .001). Relative to the pre-pandemic period, during COVID-19 the proportion of participants with a mean monthly BP classified as uncontrolled or severely uncontrolled hypertension also rose, 15% vs 19% and 4% vs 5%, respectively

Conclusions and Relevance

Based on home BP readings, mean monthly BP rose modestly after COVID-19, despite increased utilization of home monitoring. Further studies are needed to examine the longitudinal effects of the pandemic on cardiovascular disease risk factors, the impact of these on long-term population health.

Anticipating manic and depressive transitions in patients with bipolar disorder using early warning signals

Background

In bipolar disorder treatment, accurate episode prediction is paramount but remains difficult. A novel idiographic approach to prediction is to monitor generic early warning signals (EWS), which may manifest in symptom dynamics. EWS could thus form personalized alerts in clinical care. The present study investigated whether EWS can anticipate manic and depressive transitions in individual patients with bipolar disorder.

Methods

Twenty bipolar type I/II patients (with ≥ 2 episodes in the previous year) participated in ecological momentary assessment (EMA), completing five questionnaires a day for four months (Mean = 491 observations per person). Transitions were determined by weekly completed questionnaires on depressive (Quick Inventory for Depressive Symptomatology Self-Report) and manic (Altman Self-Rating Mania Scale) symptoms. EWS (rises in autocorrelation at lag-1 and standard deviation) were calculated in moving windows over 17 affective and symptomatic EMA states. Positive and negative predictive values were calculated to determine clinical utility.

Results

Eleven patients reported 1–2 transitions. The presence of EWS increased the probability of impending depressive and manic transitions from 32-36% to 46–48% (autocorrelation) and 29–41% (standard deviation). However, the absence of EWS could not be taken as a sign that no transition would occur in the near future. The momentary states that indicated nearby transitions most accurately (predictive values: 65–100%) were full of ideas, worry, and agitation. Large individual differences in the utility of EWS were found.

Conclusions

EWS show theoretical promise in anticipating manic and depressive transitions in bipolar disorder, but the level of false positives and negatives, as well as the heterogeneity within and between individuals and preprocessing methods currently limit clinical utility.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40345-022-00258-4.

Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing

Developing effective digital interventions to help patients form healthy habits is a challenging goal. IDEAS is a step-by-step framework that allows developers to draw ideas from intended users and behavioral theories, and ideate implementation strategies for them, followed by rapid prototype development. Based on our long experience with developing generic knowledge-based clinical decision support systems (CDSS) and integrating them with electronic health records (EHR) to deliver patient-specific advice, we observed a challenge that IDEAS is not addressing: the semantic detailing of the clinical knowledge behind the digital intervention and relevant patient data that could be used to personalize the digital intervention. To close the gap, we augmented two steps of IDEAS with an ontology that structures the target behavior as classes, derived from HL7 Fast Healthcare Interoperability Resources standard. We exemplify the augmented IDEAS with a case study taken from the Horizon 2020 CAPABLE project, that uses Fogg's Tiny Habits behavioral model to improve the sleep of cancer patients via Tai Chi.

Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol

Background: Recent advances in mobile and wearable technologies have led to new forms of interventions, called “Just-in-Time Adaptive Interventions” (JITAI). JITAIs interact with the individual at the most appropriate time and provide the most appropriate support depending on the continuously acquired Intensive Longitudinal Data (ILD) on participant physiology, behavior, and contexts. These advances raise an important question: How do we model these data to better understand and intervene on health behaviors? The HeartSteps II study, described here, is a Micro-Randomized Trial (MRT) intended to advance both intervention development and theory-building enabled by the new generation of mobile and wearable technology. Methods: The study involves a year-long deployment of HeartSteps, a JITAI for physical activity and sedentary behavior, with 96 sedentary, overweight, but otherwise healthy adults. The central purpose is twofold: (1) to support the development of modeling approaches for operationalizing dynamic, mathematically rigorous theories of health behavior; and (2) to serve as a testbed for the development of learning algorithms that JITAIs can use to individualize intervention provision in real time at multiple timescales. Discussion and Conclusions: We outline an innovative modeling paradigm to model and use ILD in real- or near-time to individually tailor JITIAs.

Findings from a Panel Discussion on Evaluation Methods in Medical Informatics

Healthcare systems are challenged by increasing costs. Digital technology can help to combat this trend. Evaluation of these technologies is uncommon or incomplete. Scholars have called for a standardized and holistic evaluation. We provide a synthesis of an online panel on medical informatics (MI) and stipulate a discussion on new guidelines for medical informatics project evaluations. The panel consisted of presentations and a discussion. The presentations gave the participants an overview of evaluation methods currently used in different medical informatics domains and their shortcomings. The presenters highlighted new evaluation methods such as a roadmap for economic analysis of eHealth projects and the German Digital Healthcare Act methods. Participants discussed the shortcomings of RCTs and methods that need to be included in eHealth evaluation and called for new evaluation methods. The discussion showed weaknesses of the currently used methods and underlined the need for a new, holistic evaluation standard for MI.

Evaluating the feasibility and acceptability of a mobile-based health technology for smoking cessation: Mobile Anxiety Sensitivity Program

OBJECTIVES

Cigarette smoking is the leading preventable cause of death and disability. Although most US smokers want to quit, more than 95% of cessation attempts end in relapse within 6 months. To improve cessation outcomes, research has turned to targetable mechanisms, such as anxiety sensitivity (AS), which maintain smoking behaviour, impede cessation success, and can be effectively targeted in the context of psychosocial interventions. Although integrated treatment programmes that address AS reduction in the context of smoking cessation have demonstrated promising results, presently, no mobile, technology-based integrated treatment exists to expressly address smoking and AS. The current study evaluated the initial feasibility and acceptability of a mobile smoking cessation intervention, Mobile Anxiety Sensitivity Program for smoking (MASP).

METHODS

Participants were 15 daily adult combustible cigarette smokers (females n = 6, M_age  = 46.5 years, SD = 13.3) who completed a 6-week total intervention period (baseline visit, 2 weeks pre-quit, 4 weeks post-quit, follow-up visit).

RESULTS

Most participants (N = 12) completed the full 6-week intervention, and participant engagement with MASP was high. Participants reported that MASP was acceptable. Biochemical verification of smoking abstinence indicated 25% of smokers were abstinent for at least 24 hr prior to the in-person 4 weeks post-quit follow-up visit.

CONCLUSIONS

Findings indicated that MASP has the potential to provide effective assistance to those wanting to quit cigarettes.

PRACTITIONER POINTS

Mobile-based smoking cessation interventions may be a promising treatment option, particularly for those of lower socio-economic status. Targeting AS in the context of a mobile-based smoking cessation app may be a viable way to improve smoking cessation success and treatment outcome. Due to the pilot nature of this study, there was no control group. Thus, comparative conclusions and generalizability based on the current study must be made with caution.

A Qualitative Exploration of Desired mHealth App Mechanisms Related to Daily Life Influences for College Nursing Students

Introduction

Mobile health (mHealth) apps are digital health tools that allow for the delivery and access to vital health information, support, and encouragement needed to foster positive behavior change. Designing and developing mHealth solutions based on daily life influences for nursing students is imperative to establishing healthier physical and mental health habits.

Methods

Multiple focus groups (n=10) were conducted, and a questionnaire (n=11) was administered to undergraduate students in the professional nursing component. Themed analysis of focus-group data was conducted along with descriptive analysis of the questionnaire.

Results

All participants stated it has been more difficult to maintain a healthy lifestyle since beginning the nursing program. This deterioration can be attributed to three key areas: mental health needs/support, rigor of nursing school, and decline in positive health choices. Participants stated they would use an mHealth app designed specifically for nursing students to combat deterioration of their health.

Conclusions

The results of this study (100% positive response rate) reveal mHealth applications might be a powerful tool in helping nursing students transform their physical and mental health. It appears that if an mHealth application is created with the specific "must-haves" of nursing students then we might experience a positive shift in health behaviors for nursing students, which will hopefully transcend into their careers as nurses.

Mobile Health Technology and Healthcare Providers: Systemic Barriers to Adoption

Objectives

Despite the growing use of mobile health (mHealth), certain barriers seem to be hindering the use of mHealth applications in healthcare. This article presents a systematic review of the literature on barriers associated with mHealth reported by healthcare professionals.

Methods

This systematic review was carried out to identify studies published from January 2015 to December 2019 by searching four electronic databases (PubMed/MEDLINE, Web of Science, Embase, and Google Scholar). Studies were included if they reported perceived barriers to the adoption of mHealth from healthcare providers’ perspectives. Content analysis and categorization of barriers were performed based on a focus group discussion that explored researchers’ knowledge and experiences.

Results

Among the 273 papers retrieved through the search strategy, 18 works were selected and 18 barriers were identified. The relevant barriers were categorized into three main groups: technical, individual, and healthcare system. Security and privacy concerns from the category of technical barriers, knowledge and limited literacy from the category of individual barriers, and economic and financial factors from the category of healthcare system barriers were chosen as three of the most important challenges related to the adoption of mHealth described in the included publications.

Conclusions

mHealth adoption is a complex and multi-dimensional process that is widely implemented to increase access to healthcare services. However, it is influenced by various factors and barriers. Understanding the barriers to adoption of mHealth applications among providers, and engaging them in the adoption process will be important for the successful deployment of these applications.

Randomized, wait-list-controlled pilot study of app-delivered mindfulness for patients reporting chronic pain

App-delivered mindfulness improved social functioning and pain catastrophizing among patients with chronic pain. Patient characteristics predicted app engagement, highlighting important considerations for clinical settings.

Introduction:

Chronic pain creates economic burden and exerts profound individual and societal harm. Mobile application (app)-delivered mindfulness meditation may be an important approach to self-management of chronic pain.

Objectives:

We examined the feasibility, acceptability, and impact of app-delivered mindfulness meditation on pain cognition and daily functioning among patients reporting chronic pain.

Methods:

We used a longitudinal, randomized, and wait-list–controlled design (NCT03495726) to evaluate changes in self-reported pain severity, pain catastrophizing, and social and physical functioning among participants randomized to 6 weeks of app-delivered mindfulness meditation, compared with participants randomized to a wait-list control group.

Results:

Although most participants randomized to the mindfulness group used the app at least once, fewer than half adhered to the instructed program. Participants who did not use the app scored higher on the helplessness component of pain catastrophizing at the start of the study and were less likely to have completed 4 years of college. Participants who reported feeling pressured to enroll in the study were also less likely to adhere to the intervention. Compared with participants randomized to wait-list, those in the mindfulness group reported significant improvements in social functioning, even after controlling for pain severity. Participants randomized to the mindfulness intervention also reported significant improvements in helplessness. App usage was not significantly correlated with changes in social functioning or helplessness scores.

Conclusions:

These results suggest that app-delivered mindfulness meditation is beneficial to patients with chronic pain. Identifying characteristics of patients who were adherent highlights important considerations for clinical settings.

Assessment of mHealth Solutions Applied to Fall Detection for the Elderly

Mobile Health has been increasingly present in healthcare due to the wide availability of applications for smartphones, however, robust assessment methods must be considered, seeking to provide evidence for clinical practice and mHealth solutions. This research presents the assessment of applications aimed at detecting and preventing falls for the elderly, available for Android and IOS, through the Mobile App Rating Scale. Based on the results presented, it can be concluded that the fall detection and prevention applications for the elderly available for Android and IOS showed good quality after rigorous evaluation.

TEXT4myBACK: A Text Message Intervention to Improve Function in People With Low Back Pain-Protocol of a Randomized Controlled Trial

OBJECTIVE

The authors sought to describe the protocol of a randomized controlled trial that will investigate the effects of the TEXT4myBACK self-management text message intervention compared with control in people with low back pain (LBP).

METHODS

A single-blind (assessor and statistician), randomized controlled trial with economic analysis and process evaluation will be conducted. A total of 304 people with non-specific LBP of less than 12 weeks will be enrolled and randomly allocated either to TEXT4myBACK intervention or control groups. The TEXT4myBACK intervention group will receive 4 semi-personalized text messages per week providing advice, motivation, and information about LBP, physical activity, sleep, mood, use of care, and medication during 12 weeks. The control group will receive 1 text message with a link to a LBP and diet online information package. Outcomes will be assessed at baseline and 3, 6, and 12 months. The primary outcome will be function assessed with the Patient-Specific Functional Scale. Secondary outcomes will include pain intensity, physical activity participation, sedentary behavior, global impression of change, health-related quality of life, and eHealth literacy. Data on demographic characteristics, smallest worthwhile change (ie, smallest function scored needed to be achieved at the end of the intervention to consider it to be worthwhile), health care utilization, and adverse events (ie, any new health issue that occurs during participation in the study) will be collected. An economic and process evaluation will also be conducted.

IMPACT

This study will assess if a self-management text message intervention is effective and cost-effective in improving function of people with LBP. This study can inform clinical practice of a simple, scalable, and affordable intervention for managing LBP.

Detecting Receptivity for mHealth Interventions in the Natural Environment

Just-In-Time Adaptive Intervention (JITAI) is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is properly timing the delivery of interventions, to ensure that a user is receptive and ready to process and use the support provided. Some prior works have explored the association of context and some user-specific traits on receptivity, and have built post-study machine-learning models to detect receptivity. For effective intervention delivery, however, a JITAI system needs to make in-the-moment decisions about a user's receptivity. To this end, we conducted a study in which we deployed machine-learning models to detect receptivity in the natural environment, i.e., in free-living conditions. We leveraged prior work regarding receptivity to JITAIs and deployed a chatbot-based digital coach - Ally - that provided physical-activity interventions and motivated participants to achieve their step goals. We extended the original Ally app to include two types of machine-learning model that used contextual information about a person to predict when a person is receptive: a static model that was built before the study started and remained constant for all participants and an adaptive model that continuously learned the receptivity of individual participants and updated itself as the study progressed. For comparison, we included a control model that sent intervention messages at random times. The app randomly selected a delivery model for each intervention message. We observed that the machine-learning models led up to a 40% improvement in receptivity as compared to the control model. Further, we evaluated the temporal dynamics of the different models and observed that receptivity to messages from the adaptive model increased over the course of the study.

HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia

Hemophilia is a rare inherited bleeding disorder characterized by the blood's inability to clot and could result in potentially life-threatening spontaneous bleeding into joints, organs, and tissues. Moreover, long-term management of this chronic disease is complex and costly. Current scientific evidence demonstrates that personalized digital health technologies could promote and facilitate the self-management of chronic diseases. This study introduces HemPHL a Personal Health Library and mHealth Recommender platform to gather, manage, and exchange tailored health information and recommendations to facilitate self-management and home therapy among individuals with hemophilia. The proposed digital health solution will adopt novel data science, artificial intelligence tools and techniques to manage and use information, as well as promote best practices for health education to enable patients to make informed decisions about their health. To accomplish this, an array of complex health and non-health information will be obtained from multi-dimensional sources to develop a secure, single access point of information for patient use. Patient's access to personalized health information could harness their engagement and independence as well as empower them to remotely monitor their health progress and improve compliance with treatment plans. This hemophilia-focused, user-centered app can markedly improve patients' clinical outcomes and overall quality of life.

Evaluation Methods Used to Assess mHealth Applications for Cardiovascular Disease: First Results of a Scoping Review

Potential benefits of mHealth applications are large for chronic diseases. To get an overview of how these applications are being evaluated, a scoping review is being conducted. First results show that single factors are most commonly assessed. The results of clinical outcome measures are the most common. Economic factors are the least common. A uniform framework that specifies different factors and metrics for the evaluation is not apparent.

Cross Cultural Team Collaboration: Integrating Cultural Humility in mHealth Development and Research

The World Health Organization called for mobile health initiatives to improve population health outcomes, particularly in limited-resource settings. The aim of our study was to reflect upon approaches embedded in cultural humility and recognize areas where improvement was needed in the social innovation collaborative development of an mHealth app to improve hypertension health literacy in India. A qualitative descriptive case study approach was employed to elicit concepts of cultural humility and areas for improvement derived from communications between project stakeholders. Overarching themes included fostering coalescence and strengthening partnerships in addition to multiple subthemes. Enveloping cultural humility in multidisciplinary, interprofessional and cross-cultural healthcare projects and processes is imperative for the development and implementation of successful culturally congruent health initiatives. Team fostering of coalescence and recognizing challenges and adapting to mitigate challenges can strengthen partnerships, a desired consequence of cultural humility.

Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science

PURPOSE OF REVIEW

Addiction is a serious and prevalent problem across the globe. An important challenge facing intervention science is how to support addiction treatment and recovery while mitigating the associated cost and stigma. A promising solution is the use of mobile health (mHealth) just-in-time adaptive interventions (JITAIs), in which intervention options are delivered in situ via a mobile device when individuals are most in need.

RECENT FINDINGS

The present review describes the use of mHealth JITAIs to support addiction treatment and recovery, and provides guidance on when and how the micro-randomized trial (MRT) can be used to optimize a JITAI. We describe the design of five mHealth JITAIs in addiction and three MRT studies, and discuss challenges and future directions.

SUMMARY

This review aims to provide guidance for constructing effective JITAIs to support addiction treatment and recovery.

Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment

Background

Modern smartphones contain sophisticated high-end hardware features, offering high computational capabilities at extremely manageable costs and have undoubtedly become an integral part in users' daily life. Additionally, smartphones offer a well-established ecosystem that is easily discoverable and accessible via the marketplaces of differing mobile platforms, thus encouraging the development of many smartphone apps. Such apps are not exclusively used for entertainment purposes but are also commonplace in health care and medical use. A variety of those health and medical apps exist within the context of tinnitus, a phantom sound perception in the absence of any physical external source.

Objective

In this paper, we shed light on existing smartphone apps addressing tinnitus by providing an up-to-date overview.

Methods

Based on PRISMA guidelines, we systematically searched and identified existing smartphone apps on the most prominent app markets, namely Google Play Store and Apple App Store. In addition, we applied the Mobile App Rating Scale (MARS) to evaluate and assess the apps in terms of their general quality and in-depth user experience.

Results

Our systematic search and screening of smartphone apps yielded a total of 34 apps (34 Android apps, 26 iOS apps). The mean MARS scores (out of 5) ranged between 2.65-4.60. The Tinnitus Peace smartphone app had the lowest score (mean 2.65, SD 0.20), and Sanvello—Stress and Anxiety Help had the highest MARS score (mean 4.60, SD 0.10). The interrater agreement was substantial (Fleiss κ=0.74), the internal consistency was excellent (Cronbach α=.95), and the interrater reliability was found to be both high and excellent—Guttman λ6=0.94 and intraclass correlation, ICC(2,k) 0.94 (95% CI 0.91-0.97), respectively.

Conclusions

This work demonstrated that there exists a plethora of smartphone apps for tinnitus. All of the apps received MARS scores higher than 2, suggesting that they all have some technical functional value. However, nearly all identified apps were lacking in terms of scientific evidence, suggesting the need for stringent clinical validation of smartphone apps in future. To the best of our knowledge, this work is the first to systematically identify and evaluate smartphone apps within the context of tinnitus.

Evaluation of effective factors in the acceptance of mobile health technology using the unified theory of acceptance and use of technology (UTAUT), case study: Blood transfusion complications in thalassemia patients

Background: Mobile health or MHealth refers to the use of mobile phone in healthcare services to enhance the health level of people. Before using MHealth, it is necessary to study the effective factors in physicians' adoption and acceptance of technology in the field of thalassemia. Methods: This cross sectional study was conducted using the survey and correlation methods. The statistical population of the study consisted of hematologists who were selected using the convenience sampling method. In this study, 58 questionnaires along with structural equations modeling based on partial least squares were used. SPSS and SMART PLS2 were used for data analysis. P values less than 0.05 were considered as statistically significant. Results: Based on the outcomes of the model from all theories, the coefficient of variation seems to be positive and the possibility of test is lower than 5%. The results indicated that all factors introduced in the proposed model are significantly effective in MHealth technology adoption. Conclusion: In this study, using the inputs from hematologists in hospitals and clinics in Tehran, it was aimed to find the factors affecting the hematologists' decision to use mobile health technology in reducing the complications of blood transfusion in patients with thalassemia who needed blood transfusion. Thus, plans were made determine to priorities and the existing conditions to implement this new system. Also, the strengths and weaknesses of each factor were measured to improve the weaker factors. UTAUT was used to determine the acceptance factors. After reviewing the results, the use of this model is recommended to physicians.

Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Background

Sustained self-monitoring and self-management behaviors are crucial to maintain optimal health for individuals with type 2 diabetes mellitus (T2DM). As smartphones and mobile health (mHealth) devices become widely available, self-monitoring using mHealth devices is an appealing strategy in support of successful self-management of T2DM. However, research indicates that engagement with mHealth devices decreases over time. Thus, it is important to understand engagement trajectories to provide varying levels of support that can improve self-monitoring and self-management behaviors.

Objective

The aims of this study were to develop (1) digital phenotypes of the self-monitoring behaviors of patients with T2DM based on their engagement trajectory of using multiple mHealth devices, and (2) assess the association of individual digital phenotypes of self-monitoring behaviors with baseline demographic and clinical characteristics.

Methods

This longitudinal observational feasibility study included 60 participants with T2DM who were instructed to monitor their weight, blood glucose, and physical activity using a wireless weight scale, phone-tethered glucometer, and accelerometer, respectively, over 6 months. We used latent class growth analysis (LCGA) with multitrajectory modeling to associate the digital phenotypes of participants’ self-monitoring behaviors based on their engagement trajectories with multiple mHealth devices. Associations between individual characteristics and digital phenotypes on participants’ self-monitoring behavior were assessed by analysis of variance or the Chi square test.

Results

The engagement with accelerometers to monitor daily physical activities was consistently high for all participants over time. Three distinct digital phenotypes were identified based on participants’ engagement with the wireless weight scale and glucometer: (1) low and waning engagement group (24/60, 40%), (2) medium engagement group (20/60, 33%), and (3) consistently high engagement group (16/60, 27%). Participants that were younger, female, nonwhite, had a low income, and with a higher baseline hemoglobin A_1c level were more likely to be in the low and waning engagement group.

Conclusions

We demonstrated how to digitally phenotype individuals’ self-monitoring behavior based on their engagement trajectory with multiple mHealth devices. Distinct self-monitoring behavior groups were identified. Individual demographic and clinical characteristics were associated with different self-monitoring behavior groups. Future research should identify methods to provide tailored support for people with T2DM to help them better monitor and manage their condition.

International Registered Report Identifier (IRRID)

RR2-10.2196/13517

Designing Ambient Narrative-Based Interfaces to Reflect and Motivate Physical Activity

Numerous technologies now exist for promoting more active lifestyles. However, while quantitative data representations (e.g., charts, graphs, and statistical reports) typify most health tools, growing evidence suggests such feedback can not only fail to motivate behavior but may also harm self-integrity and fuel negative mindsets about exercise. Our research seeks to devise alternative, more qualitative schemes for encoding personal information. In particular, this paper explores the design of data-driven narratives, given the intuitive and persuasive power of stories. We present WhoIsZuki, a smartphone application that visualizes physical activities and goals as components of a multi-chapter quest, where the main character's progress is tied to the user's. We report on our design process involving online surveys, in-lab studies, and in-the-wild deployments, aimed at refining the interface and the narrative and gaining a deep understanding of people's experiences with this type of feedback. From these insights, we contribute recommendations to guide future development of narrative-based applications for motivating healthy behavior.

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

With the recent proliferation of mobile health technologies, health scientists are increasingly interested in developing just-in-time adaptive interventions (JITAIs), typically delivered via notifications on mobile devices and designed to help users prevent negative health outcomes and to promote the adoption and maintenance of healthy behaviors. A JITAI involves a sequence of decision rules (i.e., treatment policies) that take the user's current context as input and specify whether and what type of intervention should be provided at the moment. In this work, we describe a reinforcement learning (RL) algorithm that continuously learns and improves the treatment policy embedded in the JITAI as data is being collected from the user. This work is motivated by our collaboration on designing an RL algorithm for HeartSteps V2 based on data collected HeartSteps V1. HeartSteps is a physical activity mobile health application. The RL algorithm developed in this work is being used in HeartSteps V2 to decide, five times per day, whether to deliver a context-tailored activity suggestion.

SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors

Context plays a key role in impulsive adverse behaviors such as fights, suicide attempts, binge-drinking, and smoking lapse. Several contexts dissuade such behaviors, but some may trigger adverse impulsive behaviors. We define these latter contexts as 'opportunity' contexts, as their passive detection from sensors can be used to deliver context-sensitive interventions. In this paper, we define the general concept of 'opportunity' contexts and apply it to the case of smoking cessation. We operationalize the smoking 'opportunity' context, using self-reported smoking allowance and cigarette availability. We show its clinical utility by establishing its association with smoking occurrences using Granger causality. Next, we mine several informative features from GPS traces, including the novel location context of smoking spots, to develop the SmokingOpp model for automatically detecting the smoking 'opportunity' context. Finally, we train and evaluate the SmokingOpp model using 15 million GPS points and 3,432 self-reports from 90 newly abstinent smokers in a smoking cessation study.

Exploring the State-of-Receptivity for mHealth Interventions

Recent advancements in sensing techniques for mHealth applications have led to successful development and deployments of several mHealth intervention designs, including Just-In-Time Adaptive Interventions (JITAI). JITAIs show great potential because they aim to provide the right type and amount of support, at the right time. Timing the delivery of a JITAI such as the user is receptive and available to engage with the intervention is crucial for a JITAI to succeed. Although previous research has extensively explored the role of context in users' responsiveness towards generic phone notifications, it has not been thoroughly explored for actual mHealth interventions. In this work, we explore the factors affecting users' receptivity towards JITAIs. To this end, we conducted a study with 189 participants, over a period of 6 weeks, where participants received interventions to improve their physical activity levels. The interventions were delivered by a chatbot-based digital coach - Ally - which was available on Android and iOS platforms. We define several metrics to gauge receptivity towards the interventions, and found that (1) several participant-specific characteristics (age, personality, and device type) show significant associations with the overall participant receptivity over the course of the study, and that (2) several contextual factors (day/time, phone battery, phone interaction, physical activity, and location), show significant associations with the participant receptivity, in-the-moment. Further, we explore the relationship between the effectiveness of the intervention and receptivity towards those interventions; based on our analyses, we speculate that being receptive to interventions helped participants achieve physical activity goals, which in turn motivated participants to be more receptive to future interventions. Finally, we build machine-learning models to detect receptivity, with up to a 77% increase in F1 score over a biased random classifier.

Passively-sensed Behavioral Correlates of Discrimination Events in College Students

A deep understanding of how discrimination impacts psychological health and well-being of students could allow us to better protect individuals at risk and support those who encounter discrimination. While the link between discrimination and diminished psychological and physical well-being is well established, existing research largely focuses on chronic discrimination and long-term outcomes. A better understanding of the short-term behavioral correlates of discrimination events could help us to concretely quantify such experiences, which in turn could support policy and intervention design. In this paper we specifically examine, for the first time, what behaviors change and in what ways in relation to discrimination. We use actively-reported and passively-measured markers of health and well-being in a sample of 209 first-year college students over the course of two academic quarters. We examine changes in indicators of psychological state in relation to reports of unfair treatment in terms of five categories of behaviors: physical activity, phone usage, social interaction, mobility, and sleep. We find that students who encounter unfair treatment become more physically active, interact more with their phone in the morning, make more calls in the evening, and spend more time in bed on the day of the event. Some of these patterns continue the next day. Our results further our understanding of the impact of discrimination and can inform intervention work.

Advances in obstetric telemonitoring: a systematic review

BACKGROUND

Obstetric telemonitoring can improve gestational care, reducing the need fortravel, and can be used in different contexts to enable early detection of complications and prevention of intercurrences, providing local intervention before hospitalization.

OBJECTIVE

This paper aims to identify advances, contributions and limitations of obstetric telemonitoring using mobile technologies.

METHODS

A systematic review was performed on the Pubmed, Medline, LILACS, Cochrane, Scielo, Embase, ACM Surveys, and IEEE databases, from 2008 to 2018. PRISMA and CASP were used to analyze methodological rigour.

RESULTS

26 papers were included. The majority of the studies related to pregnant women, prenatal care, high-risk pregnancies and homecare. Only 2 articles related to postpartum and none related to delivery. Among the technological resources, the articles presented smartphone applications, which interact with external telemonitoring devices (such as electrodes attached to the body and thermometers) or request information about maternal and / or fetal health status. Based on those devices, decision-making by health professionals is more reliable, since data is obtained by digital devices that have a greater accuracy. The variety of studies is enormous and achieve promising results. However, there are still important gaps to be addressed. Many studies only cover isolated aspects of maternal health, e.g. blood pressure, which somehow limits clinical decision-making. All authors have described concerns about usability, but not all of them had actually performed usability tests. Interventions through obstetric telemonitoring can be applied to a wide range of domains, at various levels of healthcare complexity. There are still few investments in studies in developing countries, where maternal and fetal morbidity and mortality are higher.

CONCLUSION

The area of obstetrical telemonitoring has a great potential for contributing with better gestational outcomes, early detection of complications, prevention of intercurrences, providing local intervention even before hospitalization. Development of obstetric telemonitoring systems wich collect complete obstetric parameter integrated with the periods of childbirth and postpartum is recommended.