Internet and mobile technology use among urban African American parents: survey study of a clinical population

Disparity in Internet Access Among Parents with Disabilities in the United States

OBJECTIVE

Internet access is critical for reaching most modern-day resources and systems. Yet many do not have consistent access, including people with disabilities. This can have an outsized impact on children, which COVID-19 lockdowns revealed in 2020 to 2021. However, internet access for parents with disabilities and their children is not well-studied. This study aims to fill that gap.

METHODS

We used 2018 to 2022 American Community Survey data. Parents are defined as adults with a co-residing minor for whom they are presumed responsible, and are classified as with or without disabilities. Outcomes include presence of any home internet access and home high-speed internet access, and were analyzed by the presence of disability and type of disability.

RESULTS

Results from modified Poisson regression analysis reveals that disabled parents are 1.79 times as likely as nondisabled parents to not have any home internet access (p < 0.001) and 1.40 times as likely to not have home high-speed internet access (p < 0.001). Adjustment for sociodemographic factors somewhat alleviated these disparities, but even after controlling for urbanicity, poverty, program participation, and family employment status, statistically significant disparities remained for most disability subtypes. Parents with hearing disabilities were most likely to lack home internet access.

CONCLUSION

Among US parents, disability status is associated with lacking any home internet access and lacking home high-speed internet access. Given the importance of internet access in nearly all aspects of modern society for children and families, continued and increased support for programs that assist parents with disabilities may be an avenue for improving access.

Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research

BACKGROUND

Emerging digital health research poses roadblocks to the inclusion of historically marginalized populations in research. Exclusion of underresourced communities in digital health research is a result of multiple factors (eg, limited technology access, decreased digital literacy, language barriers, and historical mistrust of research and research institutions). Alternative methods of access and engagement may aid in achieving long-term sustainability of diversified participation in digital health research, ensuring that developed technologies and research outcomes are effective and equitable.

OBJECTIVE

This study aims to (1) characterize socioeconomic and demographic differences in individuals who enrolled and engaged with different remote, digital, and traditional recruitment methods in a digital health pregnancy study and (2) determine whether social media outreach is an efficient way of recruiting and retaining specific underrepresented populations (URPs) in digital health research.

METHODS

The Better Understanding the Metamorphosis of Pregnancy (BUMP) study was used as a case example. This is a prospective, observational, cohort study using digital health technology to increase understanding of pregnancy among 524 women, aged 18-40 years, in the United States. The study used different recruitment strategies: patient portal for genetic testing results, paid/unpaid social media ads, and a community health organization providing care to pregnant women (Moses/Weitzman Health System).

RESULTS

Social media as a recruitment tool to engage URPs in a digital health study was overall effective, with a 23.6% (140/594) enrollment rate of those completing study interest forms across 25 weeks. Community-based partnerships were less successful, however, resulting in 53.3% (57/107) engagement with recruitment material and only 8.8% (5/57) ultimately enrolling in the study. Paid social media ads provided access to and enrollment of a diverse potential participant pool of race- or ethnicity-based URPs in comparison to other digital recruitment channels. Of those that engaged with study materials, paid recruitment had the highest percentage of non-White (non-Hispanic) respondents (85/321, 26.5%), in comparison to unpaid ads (Facebook and Reddit; 37/167, 22.2%). Of the enrolled participants, paid ads also had the highest percentage of non-White (non-Hispanic) participants (14/70, 20%), compared to unpaid ads (8/52, 15.4%) and genetic testing service subscribers (72/384, 18.8%). Recruitment completed via paid ads (Instagram) had the highest study retention rate (52/70, 74.3%) across outreach methods, whereas recruitment via community-based partnerships had the lowest (2/5, 40%). Retention of non-White (non-Hispanic) participants was low across recruitment methods: paid (8/52, 15.4%), unpaid (3/35, 14.3%), and genetic testing service subscribers (50/281, 17.8%).

CONCLUSIONS

Social media recruitment (paid/unpaid) provides access to URPs and facilitates sustained retention similar to other methods, but with varying strengths and weaknesses. URPs showed lower retention rates than their White counterparts across outreach methods. Community-based recruitment showed lower engagement, enrollment, and retention. These findings highlight social media's potential for URP engagement and enrollment, illuminate potential roadblocks of traditional methods, and underscore the need for tailored research to improve URP enrollment and retention.

Pharmacist-Led Video Consultation to Identify and Mitigate Drug Interactions Among Patients Initiating Oral Anticancer Drugs

PURPOSE

The past decade has seen an increase in oral anticancer drug (OACD) approvals. Polypharmacy and drug-drug interactions (DDIs) likely contribute to OACD toxicity. We assessed a one-time pharmacist-led video consultation to identify DDIs.

METHODS

We conducted a single-arm telehealth intervention of a one-time 30-minute pharmacist-led video consultation among patients initiating OACDs. The visit focused on identifying polypharmacy and DDIs. Feasibility was defined as ≥50% completion of all study interventions. We determined the prevalence, characteristics, and severity of OACD-related potential DDIs. We also assessed the prevalence of medication list inaccuracies, polypharmacy, patient satisfaction, and patient perception of intervention acceptability, appropriateness, and feasibility.

RESULTS

Of 58 eligible patients, 43 (74%) completed the intervention and 33 (57%) completed all evaluations. Median medication per patient was nine (range 4-21), and 98% of patients had at least five prescriptions. The median number of medication list errors was two (range 0-16), with at least one error for 76% and >1 for 52%. Pharmacists identified OACD-related interactions in 18 cases (42%), including change in drug metabolism (eight), elimination (one), and absorption (three). Interactions were classified as Lexicomp categories C (13), D (five), or X (one) requiring close monitoring or a change in treatment. All patients expressed high satisfaction with the intervention and agreed or completely agreed that it was acceptable, appropriate, and feasible.

CONCLUSION

Polypharmacy, medication list errors, and DDIs are prevalent among patients initiating OACDs. A one-time remote pharmacist-led video consultation can address OACD-related DDIs, which may decrease medication complexity and improve adherence.

Development of mobile CAT for patient feedback on pediatric consultations based on Rasch analysis of online techniques

The Rasch Rating Scale Model (RSM) is widely used in questionnaire analysis, providing insights into how individuals respond to item-level stimuli. Existing software for Rasch RSM parameter estimation, while powerful, often presents a steep learning curve. An accessible online tool can greatly benefit novice users, particularly students and clinicians, by simplifying the analytical process. This study introduces an online tool, an intuitive online RSM analysis tool designed to facilitate questionnaire data analysis for applied researchers, students, and clinicians. The online tool employs the joint maximum likelihood method for estimation, yielding estimates, standard errors (SE), and fit statistics iteratively. A unique feature of the tool is its ability to visualize estimates on Google Maps with an opacity setting of 0, enhancing data interpretation through a user-friendly interface. This study outlines the estimation process and key features, employing data from 200 proxy participants who answered 20 5-point questions regarding doctor-patient and doctor-family interactions in pediatric consultations. Mobile computerized adaptive testing (CAT) was employed. The online tool offers 5 essential visual displays often utilized in Rasch analyses, including the Wright Map, KIDMAP, category probability curve, performance plot, and differential item functioning (DIF) graph. DIF analysis revealed that 2 items, concerning the doctor attentiveness and empathy toward the child illness, exhibited differences in female proxy participants' responses, indicating lower satisfaction with pediatricians. The online tool emerges as a user-friendly and efficient RSM analysis tool with notable advantages for newcomers, improving data visualization and comprehension. Its capacity to pinpoint key areas of concern, such as gender-related satisfaction disparities among proxy participants, enhances its utility in questionnaire analysis. The online tool holds promise as a valuable resource for researchers, students, and clinicians seeking accessible Rasch analysis solutions.

Researcher Experience and Comfort With Telemedicine and Remote Patient Monitoring in Cancer Treatment Trials

BACKGROUND

Since the onset of COVID-19, oncology practices across the US have integrated telemedicine (TM) and remote patient monitoring (RPM) into routine care and clinical trials. The extent of provider experience and comfort with TM/RPM in treatment trials, however, is unknown. We surveyed oncology researchers to assess experience and comfort with TM/RPM.

METHODS

Between April 10 and June 1, 2022, we distributed email surveys to US-based members of the American Society of Clinical Oncology (ASCO) whose member records indicated interest or specialization in clinical research. We collected respondent demographic data, clinical trial experience, workplace characteristics, and comfort and experience with TM/RPM use across trial components in phase I and phase II/III trials. TM/RPM was defined as clinical trial-related healthcare and monitoring for patients geographically separated from trial site.

RESULTS

There were 141 surveys analyzed (5.1% response rate). Ninety percent of respondents had been Principal Investigators, 98% practiced in a norural site. Most respondents had enrolled patients in phase I (82%) and phase II/III trials (99%). Across all phases and trial components, there was a higher frequency of researcher comfort compared to experience. Regarding remote care in treatment trials, 75% reported using TM, RPM, or both. Among these individuals, 62% had never provided remote care to trial patients before the pandemic.

CONCLUSION

COVID-19 spurred the rise of TM/RPM in cancer treatment trials, and some TM/RPM use continues in this context. Among oncology researchers, higher levels of comfort compared with real-world experience with TM/RPM reveal opportunities for expanding TM/RPM policies and guidelines in oncology research.

Telemedicine and Neurology: A Survey of Neurology Patients in a Nigerian Tertiary Hospital

Background Telemedicine has been recognized as a viable solution for addressing the shortage of medical professionals in developing countries such as Nigeria. Tele-neurology has the potential to provide remote consultations and care for patients with neurological conditions, thereby reducing the burden of travel and improving access to medical care. Despite its growing popularity, there is a lack of research on patient's views on this mode of care delivery in Nigeria. This study was conducted to investigate patient's perspectives on the use of tele-neurology in Nigeria. Methodology A descriptive cross-sectional study was conducted among 398 neurology patients at Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State, Nigeria. The data obtained were analyzed using descriptive statistics and a chi-square test using p < 0.05. Results Only 3% of our respondents had previously used telemedicine, with 78.1% of the respondents open to using telemedicine as a means of consultation. The disadvantages of telemedicine noted include limitations in assessing neurological status (94.7%), difficulty in explaining health conditions (84.4%), and lack of technical support (14.6%). The majority of respondents (96.5%) believed telemedicine will help in saving time. There was a statistically significant association between propensity to use telemedicine and time spent in the hospital (0.045) and time off work (<0.001). The propensity to use telemedicine was statistically significant to the use of email (0.001) and type of email address (0.001). Conclusion The findings suggested that there is a need for healthcare providers and policymakers to invest in developing telemedicine to improve access to care.

Digital Technology Characteristics and Literacy Among Families With Children With Asthma: Cross-Sectional Study

Background

The use of digital technology in pediatric asthma management has emerged as a potential tool for improving asthma management. However, the use of digital tools has the potential to contribute to the inequitable delivery of asthma care because of existing social factors associated with asthma disparities. Our study focused on parents' chosen language and sociodemographic factors that might shape the use of digital technology in asthma self-management.

Objective

This study aims to estimate and compare patient, family, and technology-related characteristics by parents' chosen language (English or Spanish) and compare a digital literacy measure by sociodemographic factors.

Methods

Survey data were collected from July to December 2021 from parents of children with asthma who were seen by a Chicago pediatric health system pulmonary provider. Questions assessed patient and family characteristics, digital technology use, and digital literacy, measured using the validated eHealth Literacy Scale (eHEALS). Chi-square tests and multivariable logistic regression were used for comparisons, and Kruskal-Wallis tests were used for comparing median eHEALS scores by social characteristics.

Results

Of the 197 parents surveyed, 24.4% (n=49) of parents identified as a race categorized as other, 37.1% (n=67) as White, and 38.6% (n=75) as Black; 47.2% (n=93) identified as Hispanic/Latino/Latina. Additionally, 79.7% (n=157) of parents preferred English, and 20.3% (n=40) preferred Spanish. English-speaking parents were more likely to report having a data plan for their smartphone (117/157, 74.5%) or high-speed internet (138/157, 87.9%) compared to Spanish-speaking parents (smartphone: 23/40, 58%; P=.03; internet: 27/40, 68%; P=.002). Compared with Spanish-speaking parents, English-speaking parents were less likely to report having a lot or some concern about paying for internet (28/40, 70% vs 83/157, 52.9%; P=.046) or about data privacy (35/40, 88% vs 105/157, 67.5%; P=.01). Digital literacy scores differed significantly by race, income, education level, and language. In a multivariable model, language was not a significant factor for having high-speed internet service (P=.12) or concern about paying for internet at home (P=.60), but it was a significant factor for concerns about data privacy (P=.04).

Conclusions

The significant differences in technology-related characteristics suggest that digital connectivity, affordability, and data privacy may also be important factors in considering digital technology use in asthma care.

Creating Connections: A Feasibility Study of a Technology-Based Intervention to Support Mothers of Newborns during Pediatric Well-Visits

Objective

Intervention in the earliest period of parenthood can make a strong, positive impact on parenting, yet engaging parents of newborns in parenting interventions can be difficult. Technological adaptation of important interventions can improve early engagement. This study reports the initial feasibility of the Creating Connections intervention, a technology-based intervention developed to support mothers of newborns, and feasibility of evaluating the intervention through a randomized clinical trial in pediatric primary care. The intervention includes: 1) a brief tablet-based intervention delivered during a newborn well-child pediatric check-up, and 2) tailored text messages delivered thereafter to boost intervention content. Intervention content includes empirically-supported aspects of parenting behaviors known to positively influence children's social-emotional development.

Methods

Project recruitment took place in an ambulatory care pediatric clinic in a large Midwestern city. Mothers received information about infant soothing, book sharing, or both.

Results

One hundred and three parents learned about the program and 72 participated. Mothers were primarily Black/African American with incomes at or below $30,000. Only 50% of mothers that received text messages through the program completed follow-up, but these mothers gave overall positive ratings of text messages.

Conclusions

Program engagement and ratings of parents support feasibility, but retention rates need improvement. Based on barriers and successes of this investigation, lessons learned about feasibility and acceptability are discussed.

Diet Quality among Pre-Adolescent African American Girls in a Randomized Controlled Obesity Prevention Intervention Trial

Consuming an unhealthy diet increases health risks. This study assessed the impact of a culturally adapted behaviorally innovative obesity prevention intervention (The Butterfly Girls and the Quest for Founder's Rock) on diet quality in pre-adolescent non-Hispanic Black/African American girls. The RCT consisted of three groups (experimental, comparison, and waitlist control); block randomization allocated participants to each group. The two treatment groups varied in terms of whether or not they set goals. Data were collected at baseline (prior to receiving the intervention), post 1 (3 months post-baseline), and post 2 (6 months post-baseline). Two dietitian-assisted 24 h dietary recalls were collected at each timepoint. Healthy Eating Index 2015 (HEI-2015) was used to determine diet quality. A total of 361 families were recruited; 342 completed baseline data collection. No significant differences in overall HEI score or component scores were observed. To attain more equitable health outcomes, future efforts to promote dietary intake change among at-risk children should explore other behavior change procedures and employ more child-friendly dietary assessment methods.

An interactive mobile application versus an educational booklet to promote job retention in women undergoing adjuvant chemotherapy for breast cancer: a randomized controlled trial

BACKGROUND

Job loss after a cancer diagnosis can lead to long-term financial toxicity and its attendant adverse clinical consequences, including decreased treatment adherence. Among women undergoing (neo)adjuvant chemotherapy for breast cancer, access to work accommodations (e.g., sick leave) is associated with higher job retention after treatment completion. However, low-income and/or minority women are less likely to have access to work accommodations and, therefore, are at higher risk of job loss. Given the time and transportation barriers that low-income working patients commonly face, it is crucial to develop an intervention that is convenient and easy to use.

METHODS

We designed an intervention to promote job retention during and after (neo)adjuvant chemotherapy for breast cancer by improving access to relevant accommodations. Talking to Employers And Medical staff about Work (TEAMWork) is an English/Spanish mobile application (app) that provides (1) suggestions for work accommodations tailored to specific job demands, (2) coaching/strategies for negotiating with an employer, (3) advice for symptom self-management, and (4) tools to improve communication with the medical oncology team. This study is a randomized controlled trial to evaluate the app as a job-retention tool compared to a control condition that provides the app content in an informational paper booklet. The primary outcome of the study is work status after treatment completion. Secondary outcomes include work status 1 and 2 years later, participant self-efficacy to ask an employer for accommodations, receipt of workplace accommodations during and following adjuvant therapy, patient self-efficacy to communicate with the oncology provider, self-reported symptom burden during and following adjuvant therapy, and cancer treatment adherence.

DISCUSSION

This study will assess the use of mobile technology to improve vulnerable breast cancer patients' ability to communicate with their employers and oncology providers, work during treatment and retain their jobs in the long term, thereby diminishing the potential consequences of job loss, including decreased treatment adherence, debt, and bankruptcy.

TRIAL REGISTRATION

ClincalTrials.gov NCT03572374 . Registered on 08 June 2018.

Pediatric health care use during the COVID-19 pandemic: Lessons learned from the initial 2020 wave

Objective

During the height of the coronavirus disease-2019 (COVID-19) pandemic, there was a decline and shift in pediatric medical care use. We aimed to assess changes to pediatric medical use and perceptions/barriers that influenced caregivers' decision-making during the New York State mandated lockdown from March 22 to June 8, 2020, in a population that opted to use the pediatric emergency department (PED) during this period. This study was conducted in New York City (NYC), one of the epicenters at the height of the COVID-19 pandemic.

Methods

From June 14 to December 28, 2020, a convenience sample of caregivers who brought children 0-17 years to a NYC PED completed a survey.

Results

Participants in the survey included 290 caregivers: 76% were Hispanic; 91% reported having accessed medical care when their children were ill during the lockdown. In-person primary care visits decreased from 64% before to 9% during lockdown; 28% missed well-child checkups or vaccinations, and 26% missed specialist appointments. Telemedicine usage increased from 10% to 54%; none reported lack of internet or electronic devices as barriers to using telemedicine. Regarding access to care: 36% perceived increased difficulty during the lockdown, whereas 56% felt no difference. Barriers included fear of contracting COVID-19 and government advice to avoid health care visits for minor problems.

Conclusion

During the initial wave of the COVID-19 pandemic, medical care shifted from an in-person to a virtual platform. Identification of factors and barriers surrounding caregivers' decision-making may positively inform strategies toward future public health emergencies.

The Importance of Health Literacy in Addressing Eye Health and Eye Care Disparities

Disparities in eye health and eye care frequently result from a lack of understanding of ocular diseases and limited use of ophthalmic health services by various populations. The purpose of this article is to describe the principle of health literacy and its central role in enhancing health, and how its absence can result in poorer health outcomes. The article evaluates the current status of health literacy in visual health and disparities that exist among populations. It also explores ways to improve health literacy as a means of reducing disparities in visual health and eye care. Advancing dissemination of health information and enhancing health literacy may help not only to reduce healthcare barriers in the underserved populations but also to lessen visual health disparities.

Disparities in Vision Health and Eye Care

Significant disparities in vision health and eye care exist. To achieve health equity, we must understand the root causes and drivers of health disparities and inequities, including social determinants of health and systemic racism.

Income and Health Perceptions in an Economically Disadvantaged Community: A Qualitative Case Study from Central Florida

The link between income and adverse health outcomes continues to be problematic among racially and economically segregated urban communities. Although the consequences of living in areas of concentrated disadvantage have been delineated, there is a dearth of knowledge on how citizens from such areas perceive the effects of neighborhood characteristics on their individual and community health. This qualitative study explored how minority residents ( N = 23) viewed the intersectionality of income and health within their urban neighborhoods of economic distress. Focus groups were conducted using semi-structured interviews to better understand health concerns, needs, and barriers for individuals and their community. The main finding highlighted how residents desired to be healthy, but economic barriers prevented them from maintaining a healthy lifestyle and diet. While residing in a concentrated disadvantaged community, lack of income and power contributed to stress and fear that forced residents to prioritize survival over their wellbeing. Implications for improving individual and community health include operating within a systems framework to affect collective efficacy and empowerment among residents of low-income neighborhoods.

An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel

Background:

Numerous studies have identified factors related to nurses’ intention to leave. However, none has successfully predicted the nurse’s intention to quit the job. Whether the intention to quit the job can be predicted is an interesting topic in healthcare settings. A model to predict the nurse’s intention to quit the job for novice nurses should be investigated. The aim of this study is to build a model to develop an app for the automatic prediction and classification of nurses’ intention to quit their jobs.

Methods:

We recruited 1104 novice nurses working in 6 medical centers in Taiwan to complete 100-item questionnaires related to the nurse’s intention to quit the job in October 2018. The k-mean was used to divide nurses into 2 classes based on 5 items regarding leave intention. Feature variables were selected from the 100-item survey. Two models, including an artificial neural network (ANN) and a convolutional neural network, were compared across 4 scenarios made up of 2 training sets (n = 1104 and n = 804 ≅ 70%) and their corresponding testing (n = 300 ≅ 30%) sets to verify the model accuracy. An app for predicting the nurse’s intention to quit the job was then developed as a website assessment.

Results:

We observed that 24 feature variables extracted from this study in the ANN model yielded a higher area under the ROC curve of 0.82 (95% CI 0.80-0.84) based on the 1104 cases, the ANN performed better than the convolutional neural network on the accuracy, and a ready and available app for predicting the nurse’s intention to quit the job was successfully developed in this study.

Conclusions:

A 24-item ANN model with 53 parameters estimated by the ANN was developed to improve the accuracy of nurses’ intention to quit their jobs. The app would help team leaders take care of nurses who intend to quit the job before their actions are taken.

Key Points

Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study

Background

Web-based computerized adaptive testing (CAT) implementation of the skin cancer (SC) risk scale could substantially reduce participant burden without compromising measurement precision. However, the CAT of SC classification has not been reported in academics thus far.

Objective

We aim to build a CAT-based model using machine learning to develop an app for automatic classification of SC to help patients assess the risk at an early stage.

Methods

We extracted data from a population-based Australian cohort study of SC risk (N=43,794) using the Rasch simulation scheme. All 30 feature items were calibrated using the Rasch partial credit model. A total of 1000 cases following a normal distribution (mean 0, SD 1) based on the item and threshold difficulties were simulated using three techniques of machine learning—naïve Bayes, k-nearest neighbors, and logistic regression—to compare the model accuracy in training and testing data sets with a proportion of 70:30, where the former was used to predict the latter. We calculated the sensitivity, specificity, receiver operating characteristic curve (area under the curve [AUC]), and CIs along with the accuracy and precision across the proposed models for comparison. An app that classifies the SC risk of the respondent was developed.

Results

We observed that the 30-item k-nearest neighbors model yielded higher AUC values of 99% and 91% for the 700 training and 300 testing cases, respectively, than its 2 counterparts using the hold-out validation but had lower AUC values of 85% (95% CI 83%-87%) in the k-fold cross-validation and that an app that predicts SC classification for patients was successfully developed and demonstrated in this study.

Conclusions

The 30-item SC prediction model, combined with the Rasch web-based CAT, is recommended for classifying SC in patients. An app we developed to help patients self-assess SC risk at an early stage is required for application in the future.

Remote Monitoring of Patient- and Family-Generated Health Data in Pediatrics

In this article, we provide an overview of remote monitoring of pediatric PGHD and family-generated health data, including its current uses, future opportunities, and implementation resources.

An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study

BACKGROUND

Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no reports in literature about apps developed and designed in medical practice to classify the 5YSPBC. This study aimed to build a model to develop an app for an automatically accurate classification of the 5YSPBC.

METHODS

A total of 1810 patients with BC were recruited in a hospital in Taiwan from the secondary data with codes on 53 characteristic variables that were endorsed by professional staff clerks as of December 31, 2019. Five models (i.e., revolution neural network [CNN], artificial neural network, Naïve Bayes, K-nearest Neighbors Algorithm, and Logistic regression) and 3 tasks (i.e., extraction of feature variables, model comparison in accuracy [ACC] and stability, and app development) were performed to achieve the goal of developing an app to predict the 5YSPBC. The sensitivity, specificity, and receiver operating characteristic curve (area under ROC curve) on models across 2 scenarios of training (70%) and testing (30%) sets were compared. An app predicting the 5YSPBC was developed involving the model estimated parameters for a website assessment.

RESULTS

We observed that the 15-variable CNN model yields higher ACC rates (0.87 and 0.86) with area under ROC curves of 0.80 and 0.78 (95% confidence interval 0.78-82 and 0.74-81) based on 1357 training and 540 testing cases an available app for patients predicting the 5YSPBC was successfully developed and demonstrated in this study.

CONCLUSION

The 15-variable CNN model with 38 parameters estimated using CNN for improving the ACC of the 5YSPBC has been particularly demonstrated in Microsoft Excel. An app developed for helping clinicians assess the 5YSPBC in clinical settings is required for application in the future.

An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing: A development and usability study

BACKGROUND

The classification of a respondent's opinions online into positive and negative classes using a minimal number of questions is gradually changing and helps turn techniques into practices. A survey incorporating convolutional neural networks (CNNs) into web-based computerized adaptive testing (CAT) was used to collect perceptions on My Health Bank (MHB) from users in Taiwan. This study designed an online module to accurately and efficiently turn a respondent's perceptions into positive and negative classes using CNNs and web-based CAT.

METHODS

In all, 640 patients, family members, and caregivers with ages ranging from 20 to 70 years who were registered MHB users were invited to complete a 3-domain, 26-item, 5-category questionnaire asking about their perceptions on MHB (PMHB26) in 2019. The CNN algorithm and k-means clustering were used for dividing respondents into 2 classes of unsatisfied and satisfied classes and building a PMHB26 predictive model to estimate parameters. Exploratory factor analysis, the Rasch model, and descriptive statistics were used to examine the demographic characteristics and PMHB26 factors that were suitable for use in CNNs and Rasch multidimensional CAT (MCAT). An application was then designed to classify MHB perceptions.

RESULTS

We found that 3 construct factors were extracted from PMHB26. The reliability of PMHB26 for each subscale beyond 0.94 was evident based on internal consistency and stability in the data. We further found the following: the accuracy of PMHB26 with CNN yields a higher accuracy rate (0.98) with an area under the curve of 0.98 (95% confidence interval, 0.97-0.99) based on the 391 returned questionnaires; and for the efficiency, approximately one-third of the items were not necessary to answer in reducing the respondents' burdens using Rasch MCAT.

CONCLUSIONS

The PMHB26 CNN model, combined with the Rasch online MCAT, is recommended for improving the accuracy and efficiency of classifying patients' perceptions of MHB utility. An application developed for helping respondents self-assess the MHB cocreation of value can be applied to other surveys in the future.

Profile of the Users and the Most Visited Topics of a Pediatric eHealth Website

Parents need information about their children's health, and the Internet has become an essential repository for this information. However, there is almost no information about which topics are the most searched, consulted, or shared, or about the main characteristics of pediatric website users. The main aim of this research was to describe the profile of the users of a pediatric website, which topics they searched for, which topics were the most consulted, and which were the most shared. Users' demographic data were analyzed regarding their use of the Internet to search for information about health. A pediatric website for parents was analyzed. A 26-item questionnaire collected demographical features of the users of the website. Descriptive and analytical analyses were performed. Most participants used general search engines for their health searches, and the most searched keywords were prurigo, barking cough, and laryngitis. The most visited topics were unexplained fever, snots, and laryngitis. The most shared were snots, lipotomy, and dizziness. The users were mainly women (67.8%), with an average age of 38.8 years, and one or two children (89%) with a mean age of 4.6 years. The users who mainly used the Internet for health purposes were women of younger age, and with a higher educational level.

A roadmap for cardiovascular care after release from incarceration: uses of a smartphone application

OBJECTIVE

Cardiovascular disease (CVD) and its risk factors disproportionately affect people returning from incarceration. These individuals face multiple barriers to obtaining care, which can impact CVD and risk factor management and may be mitigated through use of a smartphone application (app). Therefore, we explored the CVD-related needs of people released from incarceration and which app features would support these needs.

MATERIALS AND METHODS

In 2019, we collected qualitative data through 7 focus groups with 76 returning citizens and 19 key informants through interviews and small group discussions in Baltimore, Maryland. Verbal data were audio-recorded, transcribed, and analyzed using inductive thematic coding with N-Vivo qualitative software.

RESULTS

Returning citizens face multiple barriers when trying to engage in care and services related to cardiovascular health, including around medications and health insurance. Some major challenges were identifying trusted social services and making cardiovascular health a priority. Findings suggested that CVD risk factors could be more effectively addressed in combination with attending to other pressing needs related to employment, housing, behavioral health, and building trust. Participants suggested that a smartphone app would be most useful if it broadly addressed these issues by linking returning citizens to social services, including recommendations from peers, and facilitating access to healthcare.

DISCUSSION

Returning citizens need broad support for societal reintegration. Addressing social issues would allow them to focus on cardiovascular health.

CONCLUSION

Given the challenges experienced after release from incarceration, an app focused on social and health-access issues may help returning citizens meet their CVD needs.

Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study

The prediction of whether active NBA players can be inducted into the Hall of Fame (HOF) is interesting and important. However, no such research have been published in the literature, particularly using the artificial neural network (ANN) technique. The aim of this study is to build an ANN model with an app for automatic prediction and classification of HOF for NBA players. We downloaded 4728 NBA players’ data of career stats and accolades from the website at basketball-reference.com. The training sample was collected from 85 HOF members and 113 retired Non-HOF players based on completed data and a longer career length (≥15 years). Featured variables were taken from the higher correlation coefficients (<0.1) with HOF and significant deviations apart from the two HOF/Non-HOF groups using logistical regression. Two models (i.e., ANN and convolutional neural network, CNN) were compared in model accuracy (e.g., sensitivity, specificity, area under the receiver operating characteristic curve, AUC). An app predicting HOF was then developed involving the model’s parameters. We observed that (1) 20 feature variables in the ANN model yielded a higher AUC of 0.93 (95% CI 0.93–0.97) based on the 198-case training sample, (2) the ANN performed better than CNN on the accuracy of AUC (= 0.91, 95% CI 0.87–0.95), and (3) an ready and available app for predicting HOF was successfully developed. The 20-variable ANN model with the 53 parameters estimated by the ANN for improving the accuracy of HOF has been developed. The app can help NBA fans to predict their players likely to be inducted into the HOF and is not just limited to the active NBA players.

The use of mobile phone functionalities by patients with asthma and their desire to use for self-care purposes

Background

Mobile health (mHealth) has good potential for promoting self-care in patients suffering from chronic diseases. The patients' positive attitude toward this technology is a key factor for the successful implementation. The present study was conducted to investigate the asthma patients' use of mobile phone functionalities and their desire to receive self-care services through this technology.

Methods

This survey study was conducted in Iran in 2018. The study population consisted of 146 patients suffering from asthma. The data collection tool was a questionnaire containing items on the demographic characteristics of patients, current use of mobile phone functionalities, and desire to use them for receiving self-care services. Data were analyzed using descriptive and analytical statistics.

Results

Out of the 160 questionnaires distributed, 146 (91.25%) were completed. The majority of the participants had smartphones (84.9%). Less than half of the participants occasionally used mobile phone functionalities including mobile phone calls (42.5%) and mobile Internet (40.4%) to receive asthma-related information. A significant number of the participants had never used smartphone applications (72.6%) and E-mail (66.4%) to receive asthma-related information. The participants had their greatest use of Internet search, followed by social media, to receive information about asthma symptoms, allergenic and irritating substances, medicinal therapy, and how to use therapy aids. The participants were most willing to use social media for receiving asthma information, communicating with other patients, receiving reminders about doctor's appointment, and receiving warnings about the lack of asthma control.

Conclusion

In Iran as a developing country, asthma patients use Internet search mostly to receive instructional information and are willing to use social media rather than other mobile phone functionalities to receive self-care services. These patients believe that mobile phones are appropriate for receiving instructional information and reminders.

Usability inquiry of a gamified behavior change app for increasing physical activity and reducing sedentary behavior in adults with and without autism spectrum disorder

The purpose of this study was to conduct the first usability inquiry of a gamified, behavior change theory-guided mobile app PuzzleWalk for increasing physical activity and reducing sedentary behavior in adults with and without autism spectrum disorder (ASD). Eighteen adults with and without ASD participated in a mixed-methods study that consisted of cognitive walkthrough, system usability assessment, and qualitative interviews. The results of the system usability testing indicated satisfactory quality of the PuzzleWalk system that can be readily applicable to both adults with and without ASD. Several notable issues were identified from the qualitative interviews that address critical insights into unique health and social needs in adults with ASD. Future work is warranted to examine the long-term effects of the PuzzleWalk system on increasing physical activity and reducing sedentary behavior in adults with and without ASD in real-world settings.

Interest, Resources, and Preferences for Weight Loss Programs among Primary Care Patients with Obesity

OBJECTIVE

To examine interest, resources, and preferences for weight loss programs among primary care patients with obesity.

METHODS

Primary care patients having a BMI ≥30 kg/m² were recruited in the summer and fall of 2018. Eligible patients were invited to complete an anonymous survey assessing sociodemographic factors, interest in weight loss, resources, and preferences for weight loss programs. Descriptive statistics were used for analysis.

RESULTS

A total of 77 patients completed the anonymous survey. Nearly 90% of patients were interested in participating in a weight loss program and reported having a smartphone. Approximately 80% had high-speed internet and a device with videoconferencing capabilities, whereas only 40% had a tablet or laptop computer. On average, patients preferred weight loss programs delivered in-person and led by a nutritionist or personal trainer. Patients' top three preferences for weight loss content included goal setting, staying motivated, and finding ways to be more active.

CONCLUSIONS

Although primary care patients with obesity were interested in weight loss programs, availability of resources and preferred program characteristics varied.

PRACTICE IMPLICATIONS

This study provides insight on patient interest, resources, and preferences for weight loss programs that may help guide the development of future programs.

Communication Technology Use by Caregivers of Adolescents With Mental Health Issues: Systematic Review

Background

Caregivers of adolescents with mental health issues experience challenges that may result in the caregivers having a variety of unmet needs. There is a growing need to support these caregivers. Effective support to strengthen positive caregiving behavior in caregivers may address their challenges. Communication technologies offer novel opportunities to assist these caregivers and may contribute to strengthening caregiver behavior. However, little is known about the use of communication technologies among caregivers of adolescents with mental health issues.

Objective

The study aimed to answer the question: “What is the best evidence available to strengthen positive behavior of caregivers of adolescents with mental health issues using communication technology.”

Methods

A systematic review of articles published between January 2007 and August 2018 was conducted. Searches included articles of multiple study designs from EBSCO Host and Scopus platforms with prespecified eligibility criteria. Methodological quality was evaluated using the applicable Critical Appraisal Skills Programme and Joanna Briggs Institute assessment tools.

Results

The search yielded 1746 articles. Altogether, 5 articles met the eligibility criteria and were included in the review for data synthesis. Data analysis and synthesis identified three thematic conclusions reflecting the types of communication technologies used, caregivers as the target population, and strengthening of positive behavior through determinants of the Integrated Model of Behavior Prediction.

Conclusions

The review reported the usefulness of communication technology by caregivers. Caregivers also demonstrated improvement in self-efficacy, knowledge, parent-child communication, and parental skills reflecting positive behavior. Although the use of communication technology is expanding as a supportive intervention to address caregivers’ needs, the evidence for usefulness among caregivers of adolescents with mental health issues is still scarce. More research and information related to preferred methods of communication delivery among caregivers of adolescents is still needed.

An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study

BACKGROUND

Mental illness (MI) is common among those who work in health care settings. Whether MI is related to employees' mental status at work is yet to be determined. An MI app is developed and proposed to help employees assess their mental status in the hope of detecting MI at an earlier stage.

OBJECTIVE

This study aims to build a model using convolutional neural networks (CNNs) and fit statistics based on 2 aspects of measures and outfit mean square errors for the automatic detection and classification of personal MI at the workplace using the emotional labor and mental health (ELMH) questionnaire, so as to equip the staff in assessing and understanding their own mental status with an app on their mobile device.

METHODS

We recruited 352 respiratory therapists (RTs) working in Taiwan medical centers and regional hospitals to fill out the 44-item ELMH questionnaire in March 2019. The exploratory factor analysis (EFA), Rasch analysis, and CNN were used as unsupervised and supervised learnings for (1) dividing RTs into 4 classes (ie, MI, false MI, health, and false health) and (2) building an ELMH predictive model to estimate 108 parameters of the CNN model. We calculated the prediction accuracy rate and created an app for classifying MI for RTs at the workplace as a web-based assessment.

RESULTS

We observed that (1) 8 domains in ELMH were retained by EFA, (2) 4 types of mental health (n=6, 63, 265, and 18 located in 4 quadrants) were classified using the Rasch analysis, (3) the 44-item model yields a higher accuracy rate (0.92), and (4) an MI app available for RTs predicting MI was successfully developed and demonstrated in this study.

CONCLUSIONS

The 44-item model with 108 parameters was estimated by using CNN to improve the accuracy of mental health for RTs. An MI app developed to help RTs self-detect work-related MI at an early stage should be made more available and viable in the future.

Online health information seeking, medical care beliefs and timeliness of medical check-ups among African Americans

OBJECTIVE

This study aims to investigate the relationship among different types of internet sources for health, medical check-up beliefs and the timeliness of annual medical check-ups among African Americans, accounting for both health TV usage and health service use.

METHODS

Hierarchical linear regression analysis was conducted on data from 1734 African Americans surveyed in the 2013 Consumer Health Multimedia Audience Research Systems national pharmaceutical study of 19,420 U.S. adults.

RESULTS

The results indicate a positive association between seeking health information on medical websites (β = 0.052, p = 0.04) and consumer-driven health sites (β = 0.066, p < 0.01), and the timeliness of check-ups among African Americans, an association not found in relation to mainstream or news-related sites. Health TV program use was not associated with timeliness of medical check-ups. Medical check-up belief is positively associated with seeking health info on consumer-driven health sites (β = 0.072, p < 0.01) but not on medical sites or on TV.

CONCLUSION

Seeking information on health-specific websites was associated with more timely check-ups in African Americans and more positive preventative medical care belief, even after controlling for traditional barriers, such as poor provider relationship.

PRACTICE IMPLICATIONS

Health specific websites may provide an avenue for intervention to improve preventative care use in African Americans.

Information About Sunscreen on YouTube and Considerations for Sun Safety Promotion: Content Analysis

Background

Sunscreen use is a popular sun protection method; however, application of sunscreen rarely meets the standards recommended for effectiveness. Access to information about how to effectively use sunscreen may play a role in proper sunscreen application. The internet is a common health information source; however, the quality of sunscreen-related content varies.

Objective

The objective of this study was to examine information about sunscreen in YouTube videos by video source.

Methods

In November 2017, the authors identified the 20 most popular YouTube videos (sorted by view count and relevance) for each of these 5 search terms: sunscreen cancer, sunscreen health, sunscreen information, sunscreen ingredients, and sunscreen natural. The inclusion criteria were English language and view count >1000 (N=111 unique videos). We double-coded videos for standard recommendations for sunscreen use (eg, apply 20 minutes before sun exposure), use of outdated terminology, and recommendation of complementary sun safety strategies.

Results

The view counts ranged from 1100 to 671,142 (median 17,774, SD 109,651) and the average daily views ranged from 1 to 1448 (median 23, SD 234). End users (46/111, 41.4%) and health care providers (24/111, 21.6%) were the most common sources, and none of the most popular videos were produced by federal agencies or cancer-related nongovernmental organizations. Health care provider videos included marginally more recommendations than end user videos (mean 1.46, SD 1.96 vs mean 1.05, SD 1.20), but few (19/111, 17.1%) mentioned reapplication. The videos were generally positive toward sunscreen (82/111, 73.9%); however, some videos were negative (29/111, 26.1%), with warnings about the health risks of chemical sunscreens and their ingredients. Do-it-yourself sunscreen tutorials represented 19/111 (17.1%) of the sample.

Conclusions

YouTube is a potential source for disseminating sun safety messages; however, the quality of its sunscreen content varies. Most of the videos in our study failed to include important sunscreen use recommendations. Clinicians should be prepared to address the information needs of patients by discussing effective, evidence-based sunscreen application and recommending a combined sun safety approach.

The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem: An observational study

BACKGROUND

When a new disease such starts to spread, the commonly asked questions are how deadly is it? and how many people are likely to die of this outbreak? The World Health Organization (WHO) announced in a press conference on January 29, 2020 that the death rate of COVID-19 was 2% on the case fatality rate (CFR). It was underestimated assuming no lag days from symptom onset to deaths while many CFR formulas have been proposed, the estimation on Bays theorem is worthy of interpretation. Hence, it is hypothesized that the over-loaded burdens of treating patients and capacities to contain the outbreak (LSBHRS) may increase the CFR.

METHODS

We downloaded COVID-19 outbreak numbers from January 21 to February 14, 2020, in countries/regions on a daily basis from Github that contains information on confirmed cases in >30 Chinese locations and other countries/regions. The pros and cons were compared among the 5 formula of CFR, including [A] deaths/confirmed; [B] deaths/(deaths + recovered); [C] deaths/(cases x days ago); [D] Bayes estimation based on [A] and the outbreak (LSBHRS) in each country/region; and [E] Bayes estimation based on [C] deaths/(cases x days ago). The coefficients of variance (CV = the ratio of the standard deviation to the mean) were applied to measure the relative variability for each CFR. A dashboard was developed for daily display of the CFR across each region.

RESULTS

The Bayes based on (A)[D] has the lowest CV (=0.10) followed by the deaths/confirmed (=0.11) [A], deaths/(deaths + recoveries) (=0.42) [B], Bayes based on (C) (=0.49) [E], and deaths/(cases x days ago) (=0.59) [C]. All final CFRs will be equal using the formula (from, A to E). A dashboard was developed for the daily reporting of the CFR. The CFR (3.7%) greater than the prior CFR of 2.2% was evident in LSBHRS, increasing the CFR. A dashboard was created to present the CFRs on COVID-19.

CONCLUSION

We suggest examining both trends of the Bayes based on both deaths/(cases 7 days ago) and deaths/confirmed cases as a reference to the final CFR. An app developed for displaying the provisional CFR with the 2 CFR trends can improve the underestimated CFR reported by WHO and media.

An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

Background

Workplace bullying has been measured in many studies to investigate its effects on mental health issues. However, none have used web-based computerized adaptive testing (CAT) with bully classifications and convolutional neural networks (CNN) for reporting the extent of individual bullying in the workplace.

Objective

This study aims to build a model using CNN to develop an app for automatic detection and classification of nurse bullying-levels, incorporated with online Rasch computerized adaptive testing, to help assess nurse bullying at an earlier stage.

Methods

We recruited 960 nurses working in a Taiwan Ch-Mei hospital group to fill out the 22-item Negative Acts Questionnaire-Revised (NAQ-R) in August 2012. The k-mean and the CNN were used as unsupervised and supervised learnings, respectively, for: (1) dividing nurses into three classes (n=918, 29, and 13 with suspicious mild, moderate, and severe extent of being bullied, respectively); and (2) building a bully prediction model to estimate 69 different parameters. Finally, data were separated into training and testing sets in a proportion of 70:30, where the former was used to predict the latter. We calculated the sensitivity, specificity, and receiver operating characteristic curve (area under the curve [AUC]), along with the accuracy across studies for comparison. An app predicting the respondent bullying-level was developed, involving the model’s 69 estimated parameters and the online Rasch CAT module as a website assessment.

Results

We observed that: (1) the 22-item model yields higher accuracy rates for three categories, with an accuracy of 94% for the total 960 cases, and accuracies of 99% (AUC 0.99; 95% CI 0.99-1.00) and 83% (AUC 0.94; 95% CI 0.82-0.99) for the lower and upper groups (cutoff points at 49 and 66 points) based on the 947 cases and 42 cases, respectively; and (2) the 700-case training set, with 95% accuracy, predicts the 260-case testing set reaching an accuracy of 97. Thus, a NAQ-R app for nurses that predicts bullying-level was successfully developed and demonstrated in this study.

Conclusions

The 22-item CNN model, combined with the Rasch online CAT, is recommended for improving the accuracy of the nurse NAQ-R assessment. An app developed for helping nurses self-assess workplace bullying at an early stage is required for application in the future.

An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

Background

Burnout (BO), a critical syndrome particularly for nurses in health care settings, substantially affects their physical and psychological status, the institute’s well-being, and indirectly, patient outcomes. However, objectively classifying BO levels has not been defined and noticed in the literature.

Objective

The aim of this study is to build a model using the convolutional neural network (CNN) to develop an app for automatic detection and classification of nurse BO using the Maslach Burnout Inventory–Human Services Survey (MBI-HSS) to help assess nurse BO at an earlier stage.

Methods

We recruited 1002 nurses working in a medical center in Taiwan to complete the Chinese version of the 20-item MBI-HSS in August 2016. The k-mean and CNN were used as unsupervised and supervised learnings for dividing nurses into two classes (n=531 and n=471 of suspicious BO+ and BO−, respectively) and building a BO predictive model to estimate 38 parameters. Data were separated into training and testing sets in a proportion 70%:30%, and the former was used to predict the latter. We calculated the sensitivity, specificity, and receiver operating characteristic curve (area under the curve) across studies for comparison. An app predicting respondent BO was developed involving the model’s 38 estimated parameters for a website assessment.

Results

We observed that (1) the 20-item model yields a higher accuracy rate (0.95) with an area under the curve of 0.97 (95% CI 0.94-0.95) based on the 1002 cases, (2) the scheme named matching personal response to adapt for the correct classification in model drives the prior model’s predictive accuracy at 100%, (3) the 700-case training set with 0.96 accuracy predicts the 302-case testing set reaching an accuracy of 0.91, and (4) an available MBI-HSS app for nurses predicting BO was successfully developed and demonstrated in this study.

Conclusions

The 20-item model with the 38 parameters estimated by using CNN for improving the accuracy of nurse BO has been particularly demonstrated in Excel (Microsoft Corp). An app developed for helping nurses to self-assess job BO at an early stage is required for application in the future.

Validation of a Questionnaire Developed to Evaluate a Pediatric eHealth Website for Parents

There is a need for health professionals to provide parents with not only evidence-based child health websites but also instruments to evaluate them. The main aim of this research was to develop a questionnaire for measuring users' evaluation of the usability, utility, confidence, the well-child section, and the accessibility of a Spanish pediatric eHealth website for parents. We further sought to evaluate the content validity and psychometric reliability of the instrument. A content validation study by expert review was performed, and the questionnaire was pilot tested. Psychometric analyses were used to establish scales through exploratory and confirmatory factor analyses. Reliability studies were performed using Cronbach's alpha and two split-half methods. The content validation of the questionnaire by experts was considered as excellent. The pilot web survey was completed by 516 participants. The exploratory factor analysis excluded 27 of the 41 qualitative initial items. The confirmatory factor analysis of the resultant 14-item questionnaire confirmed the five initial domains detected in the exploratory confirmatory analysis. The goodness of fit for the competing models was established through fit indices and confirmed the previously established domains. Adequate internal consistency was found for each of the subscales as well as the overall scale.

A Pragmatic Internet Intervention to Promote Positive Parenting and School Readiness in Early Childhood: Initial Evidence of Program Use and Satisfaction

BACKGROUND

Internet-based parenting programs have the potential to connect families to research-informed materials to promote positive child development. However, such programs can only succeed to the extent that the intended population engages with them.

OBJECTIVE

This study aimed to evaluate engagement in the 5-a-Day Parenting program, a technology-based program designed with low-income families in mind, to promote daily use of 5 specific parenting activities conducive to children's school readiness. Following earlier pilot data, the program was enhanced with an initial motivational e-intervention and tailored text messages designed to promote engagement.

METHODS

Parents were recruited from local childcare centers and through a participant registry. We examined rates of receipt of program text messages and use of video-based content on the program website, 3 factors that may affect website use, and satisfaction with key program elements.

RESULTS

A total of 360 parents of young children learned about the study and had the opportunity to use the 5-a-Day Parenting website. Of these, 94 parents participated in the study, and 33% (31/94) accessed the video-based content on the website at least once. No association was found between website use and program recruitment approach, program-affiliation message, sociocontextual risk, and baseline use of the five parenting activities. Satisfaction with text messages and video-based content was high.

CONCLUSIONS

For some parents, technology-based programs appear useful; however, engagement could still be enhanced. Additional research should seek innovative strategies for promoting engagement in Web-based parenting programs.

Mobile Phone Access and Preference for Technology-Assisted Aftercare Among Low-Income Caregivers of Teens Enrolled in Outpatient Substance Use Treatment: Questionnaire Study

Background

Improvements in parenting practices can positively mediate the outcomes of treatment for adolescent substance use disorder. Given the high rates of release among adolescents (ie, 60% within three months and 85% within one year), there is a critical need for interventions focused on helping parents achieve and maintain effective parenting practices posttreatment. Yet, research suggests that engaging parents in aftercare services is difficult, partly due to systemic-structural and personal barriers. One way to increase parent use of aftercare services may be to offer mobile health interventions, given the potential for wide availability and on-demand access. However, it remains unclear whether mobile phone–based aftercare support for caregivers of substance-using teens is feasible or desired. Therefore, formative work in this area is needed.

Objective

This study aims to determine the feasibility and acceptability of mobile phone–based aftercare support in a population of caregivers with teens in treatment for substance use.

Methods

Upon enrollment in a treatment program, 103 caregivers completed a mobile phone use survey, providing information about mobile phone ownership, access, and use. Caregivers also provided a response to items assessing desire for aftercare services, in general; desire for mobile phone–based aftercare services specifically; and desire for parenting specific content as part of aftercare services. Research assistants also monitored clinic calls made to caregivers’ mobile phones to provide an objective measure of the reliability of phone service.

Results

Most participants were mothers (76.7%) and self-identified as Hispanic (73.8%). The average age was 42.60 (SD 9.28) years. A total of 94% of caregivers owned a mobile phone. Most had pay-as-you-go phone service (67%), and objective data suggest this did not impede accessibility. Older caregivers more frequently had a yearly mobile contract. Further, older caregivers and caregivers of adolescent girls had fewer disconnections. Bilingual caregivers used text messaging less often; however, caregivers of adolescent girls used text messaging more often. Although 72% of caregivers reported that aftercare was needed, 91% of caregivers endorsed a desire for mobile phone–based aftercare support in parenting areas that are targets of evidence-based treatments.

Conclusions

The results suggest that mobile phones are feasible and desired to deliver treatments that provide support to caregivers of teens discharged from substance use treatment. Consideration should be given to the age of caregivers when designing these programs. Additional research is needed to better understand mobile phone use patterns based on a child’s gender and among bilingual caregivers.

Barriers to access in pediatric living-donor liver transplantation

Children receiving a LDLT have superior post-transplant outcomes, but this procedure is only used for 10% of transplant recipients. Better understanding about barriers toward LDLT and the sociodemographic characteristics that influence these underlying mechanisms would help to inform strategies to increase its use. We conducted an online, anonymous survey of parents/caregivers for children awaiting, or have received, a liver transplant regarding their knowledge and attitudes about LDLT. The survey was completed by 217 respondents. While 97% of respondents understood an individual could donate a portion of their liver, only 72% knew the steps in evaluation, and 69% understood the donor surgery was covered by the recipient's insurance. Individuals with public insurance were less likely than those with private insurance to know the steps for LDLT evaluation (44% vs 82%; P < 0.001). Respondents with public insurance were less likely to know someone that had been a living donor (44% vs 56%; P = 0.005) as were individuals without a college degree (64% vs 85%; P = 0.007). Nearly all respondents generally trusted their healthcare team. Among respondents, 82% believed they were well-informed about LDLT but individuals with public insurance were significantly less likely to feel well-informed (67% vs 87%; P = 0.03) and to understand how donor surgery might impact donor work/time off (44% vs 81%; P = 0.001). Substantial gaps exist in parental understanding about LDLT, including its evaluation, potential benefits, and complications. Greater emphasis on addressing these barriers, especially to individuals with fewer resources, will be helpful to expand the use of LDLT.

It Takes an E-Village: Supporting African American Mothers in Sustaining Breastfeeding Through Facebook Communities

BACKGROUND

Lack of breastfeeding support is a common barrier reported by African American mothers, whose breastfeeding rates remain significantly below the national average. Despite mothers' reported use of social network sites to access support on topics relating to child rearing, few studies have examined their use to exchange breastfeeding support.

RESEARCH AIMS

To describe (1) the experiences of African American mothers who participate in breastfeeding support groups on Facebook and (2) the breastfeeding beliefs, practices, and outcomes for this population of mothers.

METHODS

This was a prospective, cross-sectional qualitative study with an online focus group design. The study was guided by Black Feminist Thought and an integrated model of behavior prediction. Four online focus groups (N = 22) were conducted using video conferencing during September 2017 with African American mothers who were participating in breastfeeding support groups on Facebook.

RESULTS

Thematic analysis was used to develop four themes and two subthemes, including creating a community for Black mothers, online interactions and levels of engagement, advantages of participating in online support groups, critiques of online support groups, empowerment of self and others, and shifts in breastfeeding perceptions and decisions. Among participants in this study, positive imagery of African American breastfeeding mothers and ongoing support from women with shared experiences improved confidence with public breastfeeding and prolonged goals for breastfeeding duration.

CONCLUSION

Receiving peer support within Facebook communities may positively influence breastfeeding norms and confidence in breastfeeding, help mothers to overcome breastfeeding challenges, and ultimately extend intended breastfeeding duration.

The Balance protocol: a pragmatic weight gain prevention randomized controlled trial for medically vulnerable patients within primary care

BACKGROUND

For patients with obesity who are not ready for or experience barriers to weight loss, clinical practice guidelines recommend provider counseling on preventing further weight gain as a first-line treatment approach. Unfortunately, evidence-based weight gain prevention interventions are not routinely available within primary care. To address this gap, we will implement a pragmatic 12-month randomized controlled trial of a digital weight gain prevention intervention delivered to patients receiving primary care within a network of Federally Qualified Community Health Centers in central North Carolina.

METHODS

Balance (Equilibrio in Spanish) is a pragmatic effectiveness trial that will randomize adult patients who have overweight or obesity (BMI of 25-40 kg/m2) to either: 1) a weight gain prevention intervention with tailored behavior change goals and tracking, daily weighing on a network-connected electronic scale, and responsive weight and goal coaching delivered remotely by health center registered dietitians; or 2) a usual care program with automated healthy living text messages and print materials and routine primary care. The primary outcome will be weight gain prevention at 24-months, defined as ≤3% change in baseline weight. To align with its pragmatic design, trial outcome data will be pulled from the electronic health record of the community health center network.

DISCUSSION

For underserved, often rurally-located patients with obesity, digital approaches to promote a healthy lifestyle can curb further weight gain. Yet enrolling medically vulnerable patients into a weight gain prevention trial, many of whom are from racial/ethnic minorities, can be difficult. Despite these potential challenges, we plan to recruit a large, diverse sample from rural areas, and will implement a remotely-delivered weight gain prevention intervention to medically vulnerable patients. Upcoming trial results will demonstrate the effectiveness of this pragmatic approach to implement and evaluate a digital weight gain prevention intervention within primary care.

TRIALS REGISTRATION

NCT03003403 . Registered December 28, 2016.

Digital health: a path to validation

Digital health solutions continue to grow in both number and capabilities. Despite these advances, the confidence of the various stakeholders - from patients and clinicians to payers, industry and regulators - in medicine remains quite low. As a result, there is a need for objective, transparent, and standards-based evaluation of digital health products that can bring greater clarity to the digital health marketplace. We believe an approach that is guided by end-user requirements and formal assessment across technical, clinical, usability, and cost domains is one possible solution. For digital health solutions to have greater impact, quality and value must be easier to distinguish. To that end, we review the existing landscape and gaps, highlight the evolving responses and approaches, and detail one pragmatic framework that addresses the current limitations in the marketplace with a path toward implementation.

The Digital Divide in Health-Related Technology Use: The Significance of Race/Ethnicity

Background and Objectives

Technology can enhance the health and quality of life of diverse populations and may play an important role in reducing health disparities. Although a "digital divide" between the young and the old has been noted, it is unclear whether the use of technology for managing health differs by race/ethnicity among older adults. This study uses nationally representative data from community-dwelling older Americans to characterize racial/ethnic differences in health-related technology use.

Design and Methods

Data came from 1,336 white, black, and Hispanic adults aged 54 and older who completed the 2014 technology module of the Health and Retirement Study. Racial/ethnic differences in overall health-related technology use were assessed using Poisson regression. Then, F-tests were used to assess differences in the use of phone calls, text messages, E-mails, social media, health management sites, health-related mobile applications, web searches, and brain games for health purposes.

Results

Compared to whites, older blacks and Hispanics were less likely to use technology for health-related purposes after accounting for demographic characteristics, education, and health conditions. They were also less likely to make or receive phone calls, use health management sites, search the web for health information, and use brain games for their health.

Discussion and Implications

Older racial and ethnic minorities are less likely than whites to use certain technologies when managing their health. These findings highlight the importance of understanding the patterns of health-related technology use across racially and ethnically diverse populations to appropriately tailor interventions aimed at improving minority health and eliminating health disparities.

Off-hours use of a smartphone intervention to extend support for individuals with schizophrenia spectrum disorders recently discharged from a psychiatric hospital

INTRODUCTION

Technology-delivered healthcare interventions may enhance dissemination of evidence-based treatments in low-resource areas. These interventions may be accessed 'on-demand,' including after hours. Patients with schizophrenia do engage with technological aids but when/how they would utilize these tools is not known.

METHODS

We conducted a large, prospective, ten-site, longitudinal study of four technology-assisted interventions for patients with schizophrenia spectrum disorders within 60 days of psychiatric hospital discharge, a high risk period. One tool employed was a smartphone intervention called 'FOCUS,' which could be used by patients as needed, providing help in five content areas: medications, mood, social, sleep and voices. Each login was date- and time-stamped as occurring during normal clinic hours, or 'off-hours,' and the pattern of use described.

RESULTS

347 of 368 patients utilized FOCUS during the 6-month study. There were a total of 75,447 FOCUS logins; 35,739 (47.4%) were self-initiated and 38,139 (50.6%) were off-hours. 18,450 of the logins during off-hours were self-initiated (24.5%). No differences in average usage per month were found based on race/ethnicity. A subset of 'high utilizers' (n = 152, 43.8%) self-initiated use of all five FOCUS modules both on- and off-hours. They tended to be women, >35 years old, and had a high school diploma or greater.

CONCLUSION

Most patients with schizophrenia spectrum disorders recently discharged from the hospital utilized a smartphone intervention targeted to address troublesome residual symptoms. One quarter of the total smartphone utilization was self-initiated off-hours, indicating the potential utility of this tool to extend support for patients during periods of elevated risk.

Opportunities for and Barriers to Using Smartphones for Health Education Among Families at an Urban Primary Care Clinic

Mobile technology is omnipresent in society. Though studies suggest increased rates of smartphone accessibility, current access and barriers to smartphone usage at urban primary care clinics remains unclear. A self-administered survey was distributed to families presenting to an urban, underserved pediatric primary care clinic in spring 2017. Survey questions related to smartphone ownership and barriers to usage. A total of 273 parents completed the survey. Ninety-five percent of participants owned a smartphone. Fifty-eight percent of participants identified no barriers to smartphone usage. Among those who identified one or more barriers (n = 108), difficulties were primarily related to Wi-Fi access (46%), available phone memory (45%), existing phone data (28%), and discomfort with technology (11%). The majority of parents (59%) were interested in using a smartphone to learn about their child's health. In conclusion, there is opportunity to transform health education utilizing mobile devices, though disparities to usage should be considered.

Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts

BACKGROUND

In the United States, sudden infant death syndrome (SIDS) is the leading cause of death in infants aged 1 month to 1 year. Approximately 3500 infants die from SIDS and sleep-related reasons on a yearly basis. Unintentional sleep-related deaths and bed sharing, a known risk factor for SIDS, are on the rise. Furthermore, ethnic disparities exist among those most affected by SIDS. Despite public health campaigns, infant mortality persists. Given the popularity of social media, understanding social media conversations around SIDS and safe sleep may assist the medical and public health communities with information needed to spread, reinforce, or counteract false information regarding SIDS and safe sleep.

OBJECTIVE

The objective of our study was to investigate the social media conversation around SIDS and safe sleep to understand the possible influences and guide health promotion efforts and public health research as well as enable health professionals to engage in directed communication regarding this topic.

METHODS

We used textual analytics to identify topics and extract meanings contained in unstructured textual data. Twitter messages were captured during September, October, and November in 2017. Tweets and retweets were collected using NUVI software in conjunction with Twitter's search API using the keywords: "sids," "infant death syndrome," "sudden infant death syndrome," and "safe sleep." This returned a total of 41,358 messages, which were analyzed using text mining and social media monitoring software.

RESULTS

Multiple themes were identified, including recommendations for safe sleep to prevent SIDS, safe sleep devices, the potential causes of SIDS, and how breastfeeding reduces SIDS. Compared with September and November, more personal and specific stories of infant loss were demonstrated in October (Pregnancy and Infant Loss Awareness Month). The top influencers were news organizations, universities, and health-related organizations.

CONCLUSIONS

We identified valuable topics discussed and shared on Twitter regarding SIDS and safe sleep. The study results highlight the contradicting information a subset of the population is exposed to regarding SIDS and the continued controversy over vaccines. In addition, this analysis emphasizes the lack of public health organizations' presence on Twitter compared with the influence of universities and news media organizations. The results also demonstrate the prevalence of safe sleep products that are embedded in safe sleep messaging. These findings can assist providers in speaking about relevant topics when engaging in conversations about the prevention of SIDS and the promotion of safe sleep. Furthermore, public health agencies and advocates should utilize social media and Twitter to better communicate accurate health information as well as continue to combat the spread of false information.

Information and Communication Technologies Interest, Access, and Use: Cross-Sectional Survey of a Community Sample of Urban, Predominantly Black Women

BACKGROUND

Information and communication technologies (ICT) offer the potential for delivering health care interventions to low socioeconomic populations who often face barriers in accessing health care. However, most studies on ICT for health education and interventions have been conducted in clinical settings.

OBJECTIVE

The aim of this study was to examine access to and use of mobile phones and computers, as well as interest in, using ICT for receipt of behavioral health information among a community sample of urban, predominately black, women with low socioeconomic status.

METHODS

Participants (N=220) were recruited from hair salons and social service centers and completed audio-computer assisted self-interviews.

RESULTS

The majority of the participants (212/220, 96.3%) reported use of a cell phone at least weekly, of which 89.1% (189/212) used smartphones and 62.3% (137/220) reported computer use at least weekly. Of the women included in the study, 51.9% (107/206) reported using a cell phone and 39.4% (74/188) reported using a computer to access health and/or safety information at least weekly. Approximately half of the women expressed an interest in receiving information about stress management (51%-56%) or alcohol and health (45%-46%) via ICT. Smartphone ownership was associated with younger age (odds ratio [OR] 0.92, 95% CI 0.87-0.97) and employment (OR 5.12, 95% CI 1.05-24.95). Accessing health and safety information weekly by phone was associated with younger age (OR 0.96, 95% CI 0.94-0.99) and inversely associated with higher income (OR 0.42, 95% CI 0.20-0.92).

CONCLUSIONS

Our findings suggest that ICT use, particularly smartphone use, is pervasive among predominantly black women with low socioeconomic status in urban, nonclinical settings. These results show that ICT is a promising modality for delivering health information to this population. Further exploration of the acceptability, feasibility, and effectiveness of using ICT to disseminate behavioral health education and intervention is warranted.

Family TXT: Feasibility and Acceptability of a mHealth Obesity Prevention Program for Parents of Pre-Adolescent African American Girls

Obesity prevalence is greater in African American girls than their non-Hispanic white peers. Obesity prevention programs are needed to help parents create an obesity-preventive home environment. This paper reports the feasibility and acceptability of a mHealth child obesity prevention program consisting of self-determination theory-grounded text messages promoting a healthy home food and activity environment to parents of 8–10-year-old African American girls. A one-group design with baseline and immediate post-intervention assessments was utilized. Mothers (n = 19) received 36 text messages over 12 weeks. Feasibility and acceptability were assessed through staff logs and post-intervention surveys and an interview. Feasibility and acceptability criteria were met. Mothers reported positive reactions to the intervention; they liked the program, used the information, and all but one gave it an A or B grade. The majority made changes and shared the text messages with others. This research provides evidence that a theoretically grounded mHealth child obesity prevention intervention is feasible and acceptable to parents of African American girls.

Telemedicine and prostate cancer survivorship: a narrative review

Prostate cancer survivors have unique needs that encompass diagnosis and treatment-related side effects. The provision of services for prostate cancer survivors is often limited by resources, time constraints in traditional clinic visits, payment, and patient and provider comfort with discussion of sensitive topics including sexual and urinary health, both of which are largely impacted by treatment. Telemedicine, the remote delivery of health care services using telephone, mobile, web, and video platforms, allows for potential cost savings, in addition to ease and comfort as patients can engage in telemedicine-based resources in the comfort of their homes. Furthermore, survivors prefer to seek information online making telemedicine approaches for prostate cancer survivorship care an ideal combination. A majority of the telemedicine-based interventions used the web, followed by telephone, mobile, and video platforms. In limited studies, telemedicine delivery of survivorship care has equal efficacy to traditional care delivery. In addition, although older patients did not use the Internet regularly, they were willing to adapt to Internet usage if it had the potential to increase their quality of life. Telemedicine delivery of prostate cancer survivorship care is acceptable, feasible, cost-effective, and potentially preferred by prostate cancer survivors. Additionally, it emphasizes knowledge, self-management and self-monitoring serving to increase self-efficacy. This specialized care allows for greater access and reaches a wider catchment area compared to traditional clinic visits. This is especially important as the number of prostate cancer survivors increases and healthcare systems incorporate alternatives to traditional in-person care.

Feasibility of Internet-based Parent Training for Low-income Parents of Young Children

Parent training programs promote positive parenting and benefit low-income children, but are rarely used. Internet-based delivery may help expand the reach of parent training programs, although feasibility among low-income populations is still unclear. We examined the feasibility of internet-based parent training, in terms of internet access/use and engagement, through two studies. In Study 1, 160 parents recruited from Women, Infants, and Children (WIC) centers completed a brief paper survey regarding internet access and use (all parents received government aid). We found high levels of access, openness, and comfort with the internet and internet-enabled devices. In Study 2, a pilot study, we assessed use of an online parenting program in a project with a sample of 89 predominately low-income parents (75% received government aid). Parents learned about a new, online parenting program (the "5-a-Day Parenting Program") and provided ratings of level of interest and program use 2-weeks and 4-weeks later. Local website traffic was also monitored. At baseline, parents were very interested in using the web-based program, and the majority of parents (69.6%) reported visiting the website at least once. However, in-depth use was rare (only 9% of parents reported frequent use of the online program). Results support the feasibility of internet-based parent training for low-income parents, as most parent were able to use the program and were interested in doing so. However, results also suggest the need to develop strategies to promote in-depth program use.

Text Messaging Based Obesity Prevention Program for Parents of Pre-Adolescent African American Girls

African American girls are at a greater risk of obesity than their nonminority peers. Parents have the primary control over the home environment and play an important role in the child obesity prevention. Obesity prevention programs to help parents develop an obesity-preventive home environment are needed. The purpose of this study was to collect formative research from parents of 8-10-year old African American girls about perceptions, expectations, and content for a text messaging based program. Mothers (n = 30) participated in surveys and interviews to inform message development and content. A professional expert panel (n = 10) reviewed draft text messages via a survey. All the mothers reported owning a cellphone with an unlimited texting plan, and they used their cellphones for texting (90.0%) and accessing the Internet (100.0%). The majority were interested in receiving text messages about healthy eating and physical activity (86.7%). Interviews confirmed survey findings. One hundred and seven text messages promoting an obesity-preventive home environment were developed. The expert panel and parents reported positive reactions to draft text messages. This research provides evidence that mobile health (mHealth) interventions appeal to parents of African American girls and they have ready access to the technology with which to support this approach.

Farmers' Market Utilization among Supplemental Nutrition Assistance Program Recipients in New Orleans, Louisiana: Preliminary Findings

Objective

Farmers' markets are increasingly being promoted as a means to provide fresh produce to poor and underserved communities. However, farmers' market (FM) use remains low among low-income patrons. The purpose of our study was to examine FM awareness and use, grocery shopping behaviors, and internet use among Supplemental Nutrition Assistance Program (SNAP) recipients.

Design

A descriptive analysis of preliminary data was performed to evaluate quantitative baseline data among SNAP recipients between June and August 2016 in New Orleans, Louisiana (N=51). Data were collected via a 42-item online survey that included demographics, internet use, FM awareness and use, health information seeking behaviors and fruit and vegetable purchasing behaviors.

Results

Less than half of the survey respondents (n=24) had ever been to a FM. Local grocery stores and Wal-Mart were most used for purchasing fruits and vegetables (88% and 84%, respectively). The most common sources of healthy eating information were Women, Infants and Children (WIC) and the internet, frequently accessed via smartphones. More than 80% of participants were not aware that local FMs accepted electronic benefit transfer payments as a form of payment.

Conclusion

These results support the incorporation of promotional methodology that combines internet-based mobile technology and existing services (eg, WIC) as a viable strategy to improve farmers' market use among low-income populations. As most participants were not aware that participating FMs accept electronic benefit transfer payments, this fact should be emphasized in promotional material.