Trends and Predictors of Use of Digital Health Technology in the United States

Social and Demographic Determinants of Health: A Descriptive Study on the Impact of Place of Residence and Community Belonging

BACKGROUND

Social conditions in which individuals live, work, and interact have a significant impact on health. Extensive evidence suggests that place of residence influences health disparities and overall well-being. Understanding the characteristics of a population can help shape healthcare policies that contribute to improved public well-being.

OBJECTIVE

The aim of this research was to describe the main characteristics of the population under study, considering place of residence and other sociodemographic factors.

METHODS

This is a descriptive study. A tailored 79-item questionnaire was developed based on validated instruments, including variables related to sociodemographic, physical activity, rest and sleep patterns, emotional well-being, and sense of community belonging. The sample was obtained through an open invitation to the general population, ensuring representativeness in terms of sex, age, and nationality. Data were analysed using standard statistical methods for this type of study.

RESULTS

A total of 487 different response profiles were collected, representing 3.7% of the total population. Not all participants answered every question. Overall, 33.6% of respondents reported having a chronic disease, with the highest prevalence among individuals over 65 years old. Notably, those who live alone are not necessarily the ones who report feeling the loneliest. The findings highlight the need for new social and healthcare policies at the institutional level.

CONCLUSIONS

No statistically significant differences were found based on place of residence, except for those related to physical activity and sense of community belonging.

Demographic, Clinical, Psychosocial, and Behavioral Predictors of Continuous Glucose Monitor Use in Adults with Type 2 Diabetes

BACKGROUND

Continuous glucose monitor (CGM) use is increasing rapidly among people with type 2 diabetes, although little is known about predictors of CGM use beyond clinical and demographic information available in electronic medical records. Behavioral and psychosocial characteristics may also predict CGM use.

OBJECTIVE

We examined clinical, psychosocial, and behavioral characteristics that may predict CGM use in adults with type 2 diabetes.

DESIGN

This longitudinal observational study comprised a secondary analysis of data collected in a larger trial. Enrollment included HbA1c tests and surveys assessing demographic, clinical, psychosocial, and behavioral characteristics. We queried participants regarding their CGM use during the study on their final self-report surveys, 15 months post-enrollment.

PARTICIPANTS

Participants were 245 community-dwelling adults with type 2 diabetes recruited from primary care.

APPROACH

We used logistic regression to predict CGM use during the 15-month trial period from baseline characteristics.

KEY RESULTS

Around one-third of participants (37.1%; 91/245) started CGM. Predictors of starting CGM in bivariate models included younger age, higher socioeconomic status, insulin use, higher HbA1c, and more diabetes distress. When including all potential predictors in a single multivariable model, only younger age (aOR = 0.95, p = 0.001), insulin use (aOR = 2.33, p = 0.006), and higher socioeconomic status (aOR = 0.44, p = 0.037) were significant predictors. Despite the association between higher HbA1c and CGM use, neither diabetes self-care behaviors nor diabetes self-efficacy significantly predicted CGM use. Of participants who tried a CGM, 14.3% (13/91) had stopped, with cost being the most-cited reason.

CONCLUSIONS

Even when including behavioral and psychological characteristics, younger age, using insulin, and higher socioeconomic status remain key predictors of CGM use. These findings emphasize the importance of access and affordability for people who may benefit from CGM. Providers should not bias their introduction of CGM towards those with (perceived or actual) optimal or sub-optimal self-care behaviors.

Low-cost generation of clinical-grade, layperson-friendly pharmacogenetic passports using oligonucleotide arrays

Pharmacogenomic (PGx) information is essential for precision medicine, enabling drug prescriptions to be personalized according to an individual's genetic background. Almost all individuals will carry a genetic marker that affects their drug response, so the ideal drug prescription for these individuals will differ from the population-level guidelines. Currently, PGx information is often not available at first prescription, reducing its effectiveness. In the Netherlands, pharmacogenetic information is most often obtained using dedicated single-gene assays, making it expensive and time consuming to generate complete multi-gene PGx profiles. We therefore hypothesized that we could also use genome-wide oligonucleotide genotyping arrays to generate comprehensive PGx information (PGx passports), thereby decreasing the cost and time required for PGx testing and lowering the barrier to generating PGx information prior to first prescription. Taking advantage of existing genetic data generated in two biobanks, we developed and validated Asterix, a low-cost, clinical-grade PGx passport pipeline for 12 PGx genes. In these biobanks, we performed and clinically validated genetic variant calling and statistical phasing and imputation. In addition, we developed and validated a CYP2D6 copy-number-variant-calling tool, forgoing the need to use separate PCR-based copy-number detection. Ultimately, we returned 1,227 PGx passports to biobank participants via a layperson-friendly app, improving knowledge of PGx among citizens. Our study demonstrates the feasibility of a low-cost, clinical-grade PGx passport pipeline that could be readily implemented in clinical settings to enhance personalized healthcare, ensuring that patients receive the most effective and safe drug therapy based on their unique genetic makeup.

Cardiac Self-Efficacy Improvement in a Digital Heart Health Program: Secondary Analysis From a Feasibility and Acceptability Pilot Study

Background

Lifestyle modification programs play a critical role in preventing and managing cardiovascular disease (CVD). A key aim of many programs is improving patients' self-efficacy. In-person lifestyle modification programs can enhance self-efficacy in managing CVD risk, also known as cardiac self-efficacy (CSE). However, such programs are typically staffing and resource intensive. Digital lifestyle modification programs may offer a scalable and accessible way to improve CSE, but this has not been shown in prior research.

Objective

This study examined changes in CSE among individuals using a digital lifestyle modification program for cardiovascular health. Evaluation of improvement in CSE was a secondary goal of a feasibility and acceptability pilot study of a digital program for Heart Health.

Methods

Participants were individuals with elevated risk for CVD who enrolled in a 90-day pilot study that involved mobile app-based, artificial intelligence-powered health coaching and educational lessons focused on behaviors that promote cardiovascular health. Participants completed the 9-item CSE Scale at baseline and in month 2. Changes in confidence in participants' ability to manage their cardiovascular health were assessed.

Results

The sample included 273 (n=207, 61.2% female; mean age 59.3, SD 10.1 years) participants who submitted a complete CSE Scale at baseline and in month 2. The total CSE Scale score increased by 12.9% (P<.001) from baseline to month 2. Additionally, there were significant increases in mean score on each of the 9 individual CSE Scale items (all P<.001), with the largest increases in confidence "in knowing when to call or visit the doctor for your heart disease" (17% increase; P<.001), "in knowing how much physical activity is good for you" (16.3% increase; P<.001), and "that you can get regular aerobic exercise" (19% increase; P<.001).

Conclusions

The present analyses indicate that participants in a digital lifestyle modification program for cardiovascular health showed significant improvements in CSE within 2 months. This work adds to the growing literature examining ways to improve health-related self-efficacy and scalable access to programs for prevention and management of CVD.

Digital health technology use in Australian general practice (GP) consultations: a cross-sectional analysis of the medicine in Australia: balancing employment and life study

BACKGROUND AND OBJECTIVE

The use of technology including digital decision support tools has become more ubiquitous in general practice. Australian GPs' use of digital decision support tools, the sentiments, and associations with practitioner and practice characteristics. Positive and negative sentiments were considered facilitators and barriers to the uptake of digital decision support tools.

METHODS

Secondary analysis of a cross-sectional study was undertaken with data from the Medicine in Australia: Balancing Employment and Life (MABEL) survey was analysed. 3,126 GPs responded from a total of 27,829 participants representing all types of physicians, surveyed in September 2018. Descriptive statistics was used to examine facilitators and barriers to GP uptake of digital decision support tools, and multivariable logistic regression was used to examine its associations with practitioner and practice characteristics.

RESULTS

2240 GPs in this study (83.8%) reported using digital decision support tools with largely positive sentiments regarding technology use in consultations. Reservations include privacy concerns, system incompatibility, and lack of support. Those using digital decision support tools were more likely to be female, younger and bulk-billing.

DISCUSSION

Perceived facilitators of digital decision support tools in Australian general practice include improvements in patient outcomes, satisfaction, care processes, and saving time. Barriers include concerns about data privacy, lack of support, incompatibility, and being time-consuming. There was higher uptake amongst bulk-billing and female practitioners. Further research on the clinical usefulness of digital decision support tools and its impact on decision-making in general practice would be of value.

Predictive Factors of Inactive Patient Participation in an Inflammatory Bowel Disease Learning Health System: A Longitudinal Cohort Study

Patient participation is crucial to learning health systems that leverage patient data to improve care practices. Age, history of anxiety or depression, and frequency of clinic visits were associated with inactive participation in an inflammatory bowel disease learning health system.

Use of Digital Health Technologies by Older US Adults

This survey study estimated digital health technology (DHT) use and evaluated the factors associated with DHT use by US adults aged 50 to 80 years.

Individual differences in views toward healthcare conversational agents: A cross-sectional survey study

Background and Objective

To date, there has been limited research on people's attitudes and design preferences with respect to conversational agents (CAs) that are used for healthcare. Individual differences in attitudes and design preferences have received particularly little attention. The purpose of this study was to gain greater insight into this topic.

Methods

We recruited American and Canadian residents through the online research platform Prolific. Participants completed a cross-sectional survey assessing demographic, personality, and health factors, as well as attitudes and design preferences with respect to healthcare CAs. Hierarchical regressions were used to determine demographic, personality, and health predictors of attitudes and design preferences.

Results

A total of 227 participants (116 women; M age = 39.92 years, SD = 12.94) were included in the analysis. Participants tended to report slightly positive attitudes toward healthcare CAs, with more positive attitudes among American residents and people with lower income, lower education levels, and higher levels of the personality factor conscientiousness. In general, participants preferred CAs that use text communication, have unrestricted language input, are disembodied, and simulate health professionals in their presentation. CAs that use text communication were preferred to a greater degree among people with higher levels of digital health literacy, and disembodied CAs were preferred to a greater degree among people with lower levels of conscientiousness.

Conclusion

The results of this study provide insight into people's attitudes and design preferences with respect to healthcare CAs. This information will help guide developers on how to better design and market CAs for the health sector, which may increase people's adoption and use of these programs.

Clinical trial knowledge among cancer survivors in the United States: the role of health information technology

PURPOSE

Clinical trials are essential to the advancement of cancer care. However, clinical trial knowledge and participation remain critically low among adult patients with cancer. Health information technology (HIT) could play an important role in improving clinical trial knowledge and engagement among cancer survivors.

METHODS

We used data from 3,794 adults who completed the 2020 Health Information National Trends Survey, 626 (16.2%) of whom were cancer survivors. We examined the prevalence of HIT use in the study population and by cancer history using chi-squared tests. We used multivariable logistic regression models to examine the impact of HIT use on clinical trial knowledge for cancer survivors and respondents with no cancer history, respectively.

RESULTS

Approximately 63.8% of cancer survivors reported having some knowledge of clinical trials. Almost half of the cancer survivors used HIT to communicate with doctors (47.1%) and make health appointments (49.4%), 68.0% used HIT to look up health information online and 42.2% used it to check test results. In the adjusted models, the use of HIT in communicating with doctors [OR 2.79; 95% CI (1.41, 5.54)], looking up health information online [OR 2.84; 95% CI (1.04, 7.77)], and checking test results [OR 2.47; 95% CI (1.12, 5.43)] was associated with having some knowledge of clinical trials.

CONCLUSION

HIT use for engaging with the healthcare team and health information gathering is associated with higher clinical trial knowledge in cancer survivors. Given the rapid increase in mobile technology access globally and the increased use of HIT, digital technology can be leveraged to improve clinical trial knowledge and engagement among cancer survivors.

Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine

PURPOSE OF REVIEW

In this review, we discuss the importance of digital health equity and how social determinants of health (and intersectionality with race, ethnicity, and gender) affect cardiovascular health-related outcomes in digital health trials. We propose strategies to improve digital health equity as we move to a digitally-connected world for healthcare applications and beyond.

RECENT FINDINGS

Digital health has immense promise to improve population health by reaching individuals in their homes, at their preferred times. However, initial data demonstrate decreased patient engagement and worse cardiovascular outcomes for racial and ethnic minorities, leading to unequal uptake of digital health technologies. In addition, while women generally have higher uptake of technology, they are less likely to be referred by clinicians for digital health interventions. We highlight several exemplar trials and analyze their methodology for replication in future digital health research. The promise of digital health equity has not been reached due to exclusionary practices. Specific focus must be placed on societal/governmental policies that enable digital inclusion, particularly of racial and ethnic minority populations and women, to ensure that the expansion of digital health technologies does not exacerbate existing health disparities.

Electronic health Literacy gaps among adults with diabetes in the United States: Role of socioeconomic and demographic factors

Background

Digital health technologies hold promises for enhancing healthcare and self-management in diabetes. However, disparities in Electronic Health Literacy (EHL) exist among diabetes populations. This study investigates EHL trends and demographic differences among adults with diabetes in the United States from 2011 to 2018.

Methods

We analyzed data from the 2011-2018 National Health Interview Study (NHIS) on 27,096 adults with diabetes. The primary outcome was EHL, determined by responses to internet usage questions. Trends in EHL were assessed using the Rao Scott Chi-Square Test. Multivariate logistic regression was used to investigate the association between EHL and various comorbidities, socioeconomic and demographic subgroups.

Results

Analytic sample (N = 27,096) represents 10.6 million adults (mean age 62.3, 52.5 % Females) in the USA surveyed between 2011 and 2018. The mean rate of EHL was 38.9 % and trended upward from 35.3 % to 46.8 % over the 2011-2018 period. In a fully adjusted logistic regression model, multiple socioeconomic factors were associated with EHL. Age was inversely associated with odds of EHL (aOR 0.95, 95 % CI: 0.95-0.95). Black individuals had lower odds of EHL compared to Whites (aOR 0.63, 95 % CI: 0.56-0.71). Low-income (<100 % and 100-200 % of federal poverty limit) were negatively associated with EHL. Furthermore, limited English proficiency was associated with lower odds of EHL (aOR 0.29, 95 % CI: 0.22-0.38).

Conclusion

The study identified ongoing disparities in EHL among adults with diabetes based on age, race/ethnicity, income, and language proficiency, highlighting the need for targeted interventions to improve digital health access for all.

A Review of the Public Health Literature Examining the Roles of Socioeconomic Status and Race/Ethnicity on Health Outcomes in the United States

This review of reviews examines the role of socioeconomic status (SES) indicators on health inequities among different racial and ethnic groups in the United States (US) between 2019 and 2023. Of the 419 articles, 27 reviews met the inclusion criteria and were aggregated into seven categories: COVID-19 and respiratory pandemic disparities; neighborhoods, gentrification, and food environment; surgical treatments; mental, psychological, and behavioral health; insurance, access to care, and policy impact; cancers; and other topics. The findings revealed a documented impact of SES indicators on racial/ethnic health inequities, with racial/ethnic minority communities, especially Black Americans, consistently showing poor health outcomes associated with lower SES, regardless of the outcome or indicator examined. These findings call attention to the importance of policies and practices that address socioeconomic factors and systemic racial/ethnic inequities affecting the social determinants of health affecting racial/ethnic inequities to improve health outcomes in the US population.

Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration

BACKGROUND

Chronic Kidney Disease (CKD) is a long-term condition and a major health problem, which affects over 3.5 million adults in the UK. Use of digital technology has been proposed as a means of improving patient management. It is important to understand the factors that affect the acceptability of this technology to people living with chronic kidney disease. This study used the Technology Acceptance Model 3 (TAM) to investigate whether perceived ease of use and perceived usefulness could predict intention behaviour. It then investigated if intention to use digital technology predicted actual use.

METHODOLOGY

This was a cross-sectional study whereby the TAM3 questionnaire was sent online to people known to have chronic kidney disease via Kidney Care UK. The characteristics of the respondents (age, sex, CKD stage) were recorded.

PRINCIPAL FINDINGS

The questionnaire was sent to 12,399 people, of which 229 (39% drop out) completed it. The respondents' age ranged from 24-90 years and 45% (n = 102) were male. Thirty-five percent of participants had advanced kidney care, 33% (n = 76) had kidney transplant and 22% (n = 51) had CKD. A multiple regression analysis showed a perceived ease of use and perceived usefulness of the technology predicted behaviour intention to use digital health technology. Behaviour intention did not significantly predict actual use behaviour.

CONCLUSION

Perceived usefulness and perceived ease of use are important factors in determining the intention of people with CKD to use digital healthcare. However, a gap exists between this intention and readiness to actually use the technology. This needs to be overcome if digital healthcare is to gain future traction in the clinical scenario.

Digital Health Technology Use Across Socioeconomic Groups Prior to and During the COVID-19 Pandemic: Panel Study

BACKGROUND

Digital technologies have become more important in the health care sector in the past decades. This transition from conventional to digital health care has been accelerated by the impact of the COVID-19 pandemic, which poses the risk of creating a "digital divide," inadvertently placing those who are older, economically disadvantaged, and have a lower level of education at a disadvantage.

OBJECTIVE

This study focuses on the influence of socioeconomic factors on the adoption of digital health technology in the Frisian population and how this relation is affected by the COVID-19 pandemic.

METHODS

In 2019 and 2020, a panel study was conducted on digital health in the Frisian population in the Netherlands. In the survey, the use of digital health technology was operationalized in a broad sense, going beyond the care context by also including preventative health-promoting solutions generally available on the consumer market, such as wearables and lifestyle apps. First, to assess the influence of socioeconomic factors on the total use of digital health apps, a generalized linear model was fitted with use of digital health app as the dependent variable and socioeconomic factors as between-subject factors on the 2019 data. Second, to analyze whether the use of separate health apps increased from 2019 to 2020, we conducted chi-square tests on different digital health app types. Third, to examine the influence of COVID-19 on the use of digital health apps, a generalized linear mixed model was fitted with the use of digital health apps as the dependent variable, COVID-19 as the within-subject variable, and socioeconomic factors as between-subject factors.

RESULTS

The results indicated that prior to the COVID-19 pandemic, digital health technology use was higher in women, younger people, and those who are well educated and economically more privileged. Moreover, the percentage of people who reported using digital health technology rose from 70% (1580/2258) to 82.5% (1812/2197) due to the COVID-19 pandemic. This increase was significant for all separate types of digital health technology (all P<.001). In addition, we found the interaction effects of COVID-19 with age and education attainment, indicating that the lower total use among older people and people with lower education attainment became slightly less apparent from 2019 to 2020.

CONCLUSIONS

These findings on the influence of the COVID-19 pandemic on the digital divide indicated that the use of all types of digital health apps increased and that older individuals and people with a lower level of education caught up a little during COVID-19. Future research should gain more insight into this effect and examine whether it persists beyond the COVID-19 pandemic. Additionally, future endeavors should focus on vulnerable groups, ensuring they receive adequate attention to guarantee access to health care, preventative health-promoting solutions, and social services.

Online digital health and informatics education for undergraduate nursing students in China: impacts and recommendations

BACKGROUND

Digital health plays a vital role in healthcare services. Governments in many countries, including China, are increasingly advocating for the appropriate use of digital technologies to address significant health system challenges. It is crucial to incorporate digital health education into the curriculum for future nurses to adapt to the changes in the digital medical system. This study aimed to evaluate the impact of an online Digital Health and Informatics Course in China on the knowledge and comprehension of key digital health and informatics topics, self-assessment of nursing informatics competencies, and satisfaction among undergraduate nursing students. The findings of this study provide recommendations for the design and implementation of future digital health education.

METHODS

This study employed a one-group, quasi-experimental mixed-methods design with pre- and post-assessments. The participants received digital health and informatics education through six three-hour online sessions in six interactive days, with online self-learning materials in between. An online quiz and focus group discussions pre- and post the course were designed to evaluate the knowledge and comprehension of key digital health and informatics topics. Also, a validated Chinese version of the Self-assessment of Nursing Informatics Competencies Scale was conducted pre- and post-course to assess self-assessment of nursing informatics competencies. Additionally, all students were invited to participate in an online survey with a performance-focused course evaluation form as well as focus group discussions to gather their feedback on the learning experience and their evaluations of the course.

RESULTS

A total of 24 undergraduate nursing students were enrolled in the course. All students completed all sessions of this course, resulting in an attendance rate of 100%. Additionally, all students completed both pre- and post-assessments. In terms of the knowledge and comprehension of key digital health and informatics topics, scores of the quiz on knowledge assessment improved from the pre-test [mean pretest score: 78.33 (SD 6.005)] to the post-test [mean post-test score: 83.17 (SD 4.86)] upon completion of the course (P < 0.001). Also, students acknowledged that the course enhanced their knowledge and comprehension of informatics and digital health, the benefits of (nursing) informatics in clinical practice, and the role of health care professionals in informatics and digital health. In terms of self-assessment of nursing informatics competencies, scores on nursing informatics attitudes demonstrated significant improvement (P < 0.001). Furthermore, students reported high satisfaction with various aspects of this course, including the opportunity to explore broad horizons in informatics for future careers, engaging in group discussions, and analyzing case studies on the use of informatics and digital health in clinical practice.

CONCLUSIONS

This Online Digital Health and Informatics education effectively improved undergraduate nursing students' knowledge and comprehension of the key digital health and informatics topics, nursing informatics attitudes in the self-assessment of nursing informatics competency with high levels of satisfaction. In order to ensure that future education in digital health and informatics for nursing students is in line with the technological advancements in clinical settings, it is necessary to foster collaboration between medical school training and clinical practice. This collaboration should involve the use of clinical examples to illustrate advanced digital health applications and the inclusion of practical exercises on the use of digital health technology in clinical settings.

Evaluating a New Digital App-Based Program for Heart Health: Feasibility and Acceptability Pilot Study

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death in the United States, affecting a significant proportion of adults. Digital health lifestyle change programs have emerged as a promising method of CVD prevention, offering benefits such as on-demand support, lower cost, and increased scalability. Prior research has shown the effectiveness of digital health interventions in reducing negative CVD outcomes. This pilot study focuses on the Lark Heart Health program, a fully digital artificial intelligence (AI)-powered smartphone app, providing synchronous CVD risk counseling, educational content, and personalized coaching.

OBJECTIVE

This pilot study evaluated the feasibility and acceptability of a fully digital AI-powered lifestyle change program called Lark Heart Health. Primary analyses assessed (1) participant satisfaction, (2) engagement with the program, and (3) the submission of health screeners. Secondary analyses were conducted to evaluate weight loss outcomes, given that a major focus of the Heart Health program is weight management.

METHODS

This study enrolled 509 participants in the 90-day real-world single-arm pilot study of the Heart Health app. Participants engaged with the app by participating in coaching conversations, logging meals, tracking weight, and completing educational lessons. The study outcomes included participant satisfaction, app engagement, the completion of screeners, and weight loss.

RESULTS

On average, Heart Health study participants were aged 60.9 (SD 10.3; range 40-75) years, with average BMI indicating class I obesity. Of the 509 participants, 489 (96.1%) stayed enrolled until the end of the study (dropout rate: 3.9%). Study retention, based on providing a weight measurement during month 3, was 80% (407/509; 95% CI 76.2%-83.4%). Participant satisfaction scores indicated high satisfaction with the overall app experience, with an average score of ≥4 out of 5 for all satisfaction indicators. Participants also showed high engagement with the app, with 83.4% (408/489; 95% CI 80.1%-86.7%) of the sample engaging in ≥5 coaching conversations in month 3. The results indicated that participants were successfully able to submit health screeners within the app, with 90% (440/489; 95% CI 87%-92.5%) submitting all 3 screeners measured in the study. Finally, secondary analyses showed that participants lost weight during the program, with analyses showing an average weight nadir of 3.8% (SD 2.9%; 95% CI 3.5%-4.1%).

CONCLUSIONS

The study results indicate that participants in this study were satisfied with their experience using the Heart Health app, highly engaged with the app features, and willing and able to complete health screening surveys in the app. These acceptability and feasibility results provide a key first step in the process of evidence generation for a new AI-powered digital program for heart health. Future work can expand these results to test outcomes with a commercial version of the Heart Health app in a diverse real-world sample.

The Role of Health Information Technology on Colorectal Cancer Screening Participation Among Smokers In The United States

Background: Despite advances in its prevention and early detection, colorectal cancer (CRC) remains a leading cause of morbidity and mortality in the United States and smokers are at an increased risk. Health information technology (HIT) has shown promise in the uptake of preventive health services, including CRC, and may prove useful among smokers. Methods: We obtained data from 7,419 adults who completed the 2018-2020 Health Information National Trends Survey. Using multivariable logistic regression models, we examined the relationship between HIT use and CRC screening participation. Results: Over 20% of current smokers had no access to HIT tools, and those with access were less likely than never smokers to use HIT in checking test results (odds ratio [OR] 0.58; 95% confidence interval [CI] [0.42-0.80]). Among former smokers, using HIT to check test results (OR 3.41; 95% CI [1.86-6.25]), look up health information online (OR 2.20; 95% CI [1.15-4.22]), and make health appointments (OR 2.86; 95% CI [1.39-5.89]) was associated with increased participation in CRC screening. Among current smokers, the use of HIT was not associated with a change in CRC screening participation. Conclusion: HIT use is associated with higher levels of CRC screening among former smokers, which is reassuring given their increased risk of CRC. The low ownership and use of HIT among current smokers of CRC screening age presents a challenge that may limit the integration of HIT into routine CRC screening services.

Potential role of hybrid weight management intervention: A scoping review

Background

Digital health has been widely used in delivering healthcare, presenting emerging opportunities to overcome barriers to effective obesity care. One strategy suggested for addressing obesity involves a hybrid weight management intervention that incorporates digital health. This scoping review aimed to map existing evidence regarding hybrid weight management intervention.

Methods

PubMed, Scopus, Cochrane Library, and the Web of Science electronic databases were searched for studies published between January 1, 2012 and May 16, 2023, with language restricted to English. The focus was on controlled trials in which a hybrid weight management intervention was used in the intervention among overweight or obese adults. The scoping review framework followed Arksey and O'Malley's guidelines and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISM-P).

Results

Full-text article review in the screening stage resulted in a total of 10 articles being included for narrative synthesis. Almost two-third of the articles originated from the United States (60%), followed by Europe and Australia, each accounting for 20%. The most common hybrid weight management intervention type was the combination of face-to-face and telehealth (i.e. phone call/text messaging) (40%), closely followed by a combination email intervention (30%) and mHealth apps intervention (30%). Most of the face-to-face dietary interventions were delivered as a group counseling (80%), while some were conducted as individual counseling (20%). Most studies observed a positive effect of the hybrid weight management intervention on body weight (weight lost 3.9-8.2 kg), body mass index (decreased 0.58 kg/m2), waist circumference (decreased 2.25 cm), and physical activity level compared to standard care. Findings suggest a direct association between hybrid weight management interventions and weight loss. The weight loss ranged from 3.9 to 8.2 kg, with some evidence indicating a significant weight loss of 5% from baseline. There is a need to explore stakeholders' telehealth perspective to optimize the delivery of hybrid weight management interventions, thereby maximizing greatest benefits for weight management.

Digital health in geriatric oncology: A Young International Society of Geriatric Oncology review

The integration of digital health technologies in geriatric oncology has the potential to enhance patient care and self-management. This review article discusses the applications of these technologies, including teleassessment, telemonitoring, and teleintervention, within geriatric oncology, and evaluates their potential to improve cancer care and patient outcomes. We also review challenges to the implementation of digital health technologies among populations of older patients with cancer. The article provides a perspective for clinicians, researchers, policymakers, and patients on the integration and utilisation of digital health technologies in current geriatric oncology practice.

Use of Smart Devices to Track Cardiovascular Health Goals in the United States

BACKGROUND

Smartphone-based health applications are increasingly popular, but their real-world use for cardiovascular risk management remains poorly understood.

OBJECTIVES

The purpose of this study was to investigate the patterns of tracking health goals using smart devices, including smartphones and/or tablets, in the United States.

METHODS

Using the nationally representative Health Information National Trends Survey for 2017 to 2020, we examined self-reported tracking of health-related goals (optimizing body weight, increasing physical activity, and/or quitting smoking) using smart devices among those with cardiovascular disease (CVD) or cardiovascular risk factors of hypertension, diabetes, obesity, and/or smoking. Survey analyses were used to obtain national estimates of use patterns and identify features associated with the use of these devices for tracking health goals.

RESULTS

Of 16,092 Health Information National Trends Survey participants, 10,660 had CVD or cardiovascular risk factors, representing 154.2 million (95% CI: 149.2-159.3 million) U.S. adults. Among the general U.S. adult population, 46% (95% CI: 44%-47%) tracked their health goals using their smart devices, compared with 42% (95% CI: 40%-43%) of those with or at risk of CVD. Younger age, female, Black race, higher educational attainment, and greater income were independently associated with tracking of health goals using smart devices.

CONCLUSIONS

Two in 5 U.S. adults with or at risk of CVD use their smart devices to track health goals. While representing a potential avenue to improve care, the lower use of smart devices among older and low-income individuals, who are at higher risk of adverse cardiovascular outcomes, requires that digital health interventions are designed so as not to exacerbate existing disparities.

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems

The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a "nice to have" tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make "nice to have," "assists," and "ease processes" insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems' malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system's costs.

Fast and Frictionless: A Novel Approach to Radiology Appointment Scheduling Using a Mobile App and Recommendation Engine

Many outpatient radiology orders are never scheduled, which can result in adverse outcomes. Digital appointment self-scheduling provides convenience, but utilization has been low. The purpose of this study was to develop a "frictionless" scheduling tool and evaluate the impact on utilization. The existing institutional radiology scheduling app was configured to accommodate a frictionless workflow. A recommendation engine used patient residence, past and future appointment data to generate three optimal appointment suggestions. For eligible frictionless orders, recommendations were sent in a text message. Other orders received either a text message for the non-frictionless app scheduling approach or a call-to-schedule text. Scheduling rates by type of text message and scheduling workflow were analyzed. Baseline data for a 3-month period prior to the launch of frictionless scheduling showed that 17% of orders that received an order notification text were scheduled using the app. In an 11-month period after the launch of frictionless scheduling, the rate of app scheduling was greater for orders that received a text message with recommendations (frictionless approach) versus app schedulable orders that received a text without recommendations (29% vs. 14%, p < 0.01). Thirty-nine percent of the orders that received a frictionless text and scheduled using the app used a recommendation. The most common recommendation rules chosen for scheduling included location preference of prior appointments (52%). Among appointments that were scheduled using a day or time preference, 64% were based on a rule using the time of the day. This study showed that frictionless scheduling was associated with an increased rate of app scheduling.

Rates and Correlates of Uptake of Continuous Glucose Monitors Among Adults with Type 2 Diabetes in Primary Care and Endocrinology Settings

BACKGROUND

Clinical trials indicate continuous glucose monitor (CGM) use may benefit adults with type 2 diabetes, but CGM rates and correlates in real-world care settings are unknown.

OBJECTIVE

We sought to ascertain prevalence and correlates of CGM use and to examine rates of new CGM prescriptions across clinic types and medication regimens.

DESIGN

Retrospective cohort using electronic health records in a large academic medical center in the Southeastern US.

PARTICIPANTS

Adults with type 2 diabetes and a primary care or endocrinology visit during 2021.

MAIN MEASURES

Age, gender, race, ethnicity, insurance, clinic type, insulin regimen, hemoglobin A1c values, CGM prescriptions, and prescribing clinic type.

KEY RESULTS

Among 30,585 adults with type 2 diabetes, 13% had used a CGM. CGM users were younger and more had private health insurance (p < .05) as compared to non-users; 72% of CGM users had an intensive insulin regimen, but 12% were not taking insulin. CGM users had higher hemoglobin A1c values (both most recent and most proximal to the first CGM prescription) than non-users. CGM users were more likely to receive endocrinology care than non-users, but 23% had only primary care visits in 2021. For each month in 2021, a mean of 90.5 (SD 12.5) people started using CGM. From 2020 to 2021, monthly rates of CGM prescriptions to new users grew 36% overall, but 125% in primary care. Most starting CGM in endocrinology had an intensive insulin regimen (82% vs. 49% starting in primary care), whereas 28% starting CGM in primary care were not using insulin (vs. 5% in endocrinology).

CONCLUSION

CGM uptake for type 2 diabetes is increasing rapidly, with most growth in primary care. These trends present opportunities for healthcare system adaptations to support CGM use and related workflows in primary care to support growth in uptake.

Predictors of program interest in a digital health pilot study for heart health

Digital health programs can play a key role in supporting lifestyle changes to prevent and reduce cardiovascular disease (CVD) risk. A key concern for new programs is understanding who is interested in participating. Thus, the primary objective of this study was to utilize electronic health records (EHR) to predict interest in a digital health app called Lark Heart Health. Because prior studies indicate that males are less likely to utilize prevention-focused digital health programs, secondary analyses assessed sex differences in recruitment and enrollment. Data were drawn from an ongoing pilot study of the Heart Health program, which provides digital health behavior coaching and surveys for CVD prevention. EHR data were used to predict whether potential program participants who received a study recruitment email showed interest in the program by "clicking through" on the email to learn more. Primary objective analyses used backward elimination regression and eXtreme Gradient Boost modeling. Recruitment emails were sent to 8,649 patients with available EHR data; 1,092 showed interest (i.e., clicked through) and 345 chose to participate in the study. EHR variables that predicted higher odds of showing interest were higher body mass index (BMI), fewer elevated lab values, lower HbA1c, non-smoking status, and identifying as White. Secondary objective analyses showed that, males and females showed similar program interest and were equally represented throughout recruitment and enrollment. In summary, BMI, elevated lab values, HbA1c, smoking status, and race emerged as key predictors of program interest; conversely, sex, age, CVD history, history of chronic health issues, and medication use did not predict program interest. We also found no sex differences in the recruitment and enrollment process for this program. These insights can aid in refining digital health tools to best serve those interested, as well as highlight groups who may benefit from behavioral intervention tools promoted by additional recruitment efforts tailored to their interest.

Digital outcome measures in pulmonary clinical trials

PURPOSE OF REVIEW

We highlight recent advances in the development and use of digital outcome measures in clinical trials, focusing on how to select the appropriate technology, use digital data to define trial endpoints, and glean important lessons from current experiences with digital outcome measures in pulmonary medicine.

RECENT FINDINGS

A review of emerging literature demonstrates that the use of digital health technologies, particularly pulse oximeters, remote spirometers, accelerometers, and Electronic Patient-Reported Outcomes, has surged in both pulmonary practice and clinical trials. Lessons learned from their use can help researchers to design the next generation of clinical trials leveraging digital outcomes to improve health.

SUMMARY

In pulmonary diseases, digital health technologies provide validated, reliable, and usable data on patients in real-world environments. More broadly, digital endpoints have accelerated innovation in clinical trial design, improved clinical trial efficiency, and centered patients. As investigators adopt digital health technologies, it is important to follow a framework informed by both the opportunities and challenges of digitization. Successful use of digital health technologies will transform clinical trials by improving accessibility, efficiency, patient-centricity, and expanding opportunities for personalized medicine.

The Role of Health Information Technology in Improving Awareness of Human Papillomavirus and Human Papillomavirus Vaccine Among U.S. Adults

Objective: Although human papillomavirus (HPV) vaccines prevent cancer-causing HPV infections and cervical precancers, there is suboptimal awareness and limited global accessibility of HPV and HPV vaccine. Emerging evidence suggests that health information technology (HIT) may influence HPV-related awareness and improve vaccine adoption. The objective of this study was to evaluate the link between HIT and HPV-related awareness Methods: Data were obtained from 1,866 U.S. adults aged 18-45 years who completed the 2017 and 2018 Health Information National Trends Survey. We conducted multivariable logistic regression to analyze the association between HIT utilization and HPV-related awareness. Results: Awareness of HPV and HPV vaccine were 72.7% and 67.5%, respectively. Participants who used electronic means to look up health information (adjusted odds ratio [aOR] = 3.05; p = 0.001), communicate with health care provider (aOR = 1.68; p = 0.026), look up test results (aOR = 1.94; p = 0.005), and track health costs (aOR = 1.65; p = 0.04) were more likely to report HPV awareness than those who did not. Participants who used an electronic device to look up health information (aOR = 3.10; p = 0.003), communicate with clinicians (aOR = 1.72; p = 0.008), look up test results (aOR = 1.63; p = 0.021), and track health care charges (aOR = 1.90; p = 0.006) were more likely to report HPV vaccine awareness than those who did not. Discussion and Conclusion: Our findings suggest a positive association between HIT utilization and HPV-related awareness. Given the rapid and exponential increase in mobile technology access globally, these results are encouraging and offer a potential opportunity to leverage digital technology in primary cancer prevention for HPV-related cancers, especially in low- and middle-income countries with unsophisticated health infrastructures.

Determinants of e-Mental Health Use During COVID-19: Cross-sectional Canadian Study

Background

Access to mental health treatment across Canada remains a challenge, with many reporting unmet care needs. National and provincial e-Mental health (eMH) programs have been developed over the past decade across Canada, with many more emerging during COVID-19 in an attempt to reduce barriers related to geography, isolation, transportation, physical disability, and availability.

Objective

The aim of this study was to identify factors associated with the utilization of eMH services across Canada during the COVID-19 pandemic using Andersen and Newman’s framework of health service utilization.

Methods

This study used data gathered from the 2021 Canadian Digital Health Survey, a cross-sectional, web-based survey of 12,052 Canadians aged 16 years and older with internet access. Bivariate associations between the use of eMH services and health service utilization factors (predisposing, enabling, illness level) of survey respondents were assessed using χ2 tests for categorical variables and t tests for the continuous variable. Logistic regression was used to predict the probability of using eMH services given the respondents’ predisposing, enabling, and illness-level factors while adjusting for respondents’ age and gender.

Results

The proportion of eMH service users among survey respondents was small (883/12,052, 7.33%). Results from the logistic regression suggest that users of eMH services were likely to be those with regular family physician access (odds ratio [OR] 1.57, P=.02), living in nonrural communities (OR 1.08, P<.001), having undergraduate (OR 1.40, P=.001) or postgraduate (OR 1.48, P=.003) education, and being eHealth literate (OR 1.05, P<.001). Those with lower eMH usage were less likely to speak English at home (OR 0.06, P<.001).

Conclusions

Our study provides empirical evidence on the impact of individual health utilization factors on the use of eMH among Canadians during the COVID-19 pandemic. Given the opportunities and promise of eMH services in increasing access to care, future digital interventions should both tailor themselves toward users of these services and consider awareness campaigns to reach nonusers. Future research should also focus on understanding the reasons behind the use and nonuse of eMH services.

The law of non-usage attrition in a technology-based behavioral intervention for black adults with poor cardiovascular health

Digital health innovations, such as telehealth and remote monitoring, have shown promise in addressing patient barriers to accessing evidence-based programs and providing a scalable path for tailored behavioral interventions that support self-management skills, knowledge acquisition and promotion of relevant behavioral change. However, significant attrition continues to plague internet-based studies, a result we believe can be attributed to characteristics of the intervention, or individual user characteristics. In this paper, we provide the first analysis of determinants of non usage attrition in a randomized control trial of a technology-based intervention for improving self-management behaviors among Black adults who face increased cardiovascular risk factors. We introduce a different way to measure nonusage attrition that considers usage over a specific period of time and estimate a cox proportional hazards model of the impact of intervention factors and participant demographics on the risk of a nonusage event. Our results indicated that not having a coach (compared to having a coach) decreases the risk of becoming an inactive user by 36% (HR = .63, P = 0.04). We also found that several demographic factors can influence Non-usage attrition: The risk of nonusage attrition amongst those who completed some college or technical school (HR = 2.91, P = 0.04) or graduated college (HR = 2.98, P = 0.047) is significantly higher when compared to participants who did not graduate high school. Finally, we found that the risk of nonsage attrition among participants with poor cardiovascular from "at-risk" neighborhoods with higher morbidity and mortality rates related to CVD is significantly higher when compared to participants from "resilient" neighborhoods (HR = 1.99, P = 0.03). Our results underscore the importance of understanding challenges to the use of mhealth technologies for cardiovascular health in underserved communities. Addressing these unique barriers is essential, because a lack of diffusion of digital health innovations exacerbates health disparities.

The Impact of the COVID-19 Pandemic on Physical Activity, Function, and Quality of Life

It is now more than 2 years since the beginning of the COVID-19 pandemic, which has affected people around the globe, particularly older persons, who are at the highest risk of severe disease. In addition, many of those who survive will have symptoms that persist after the initial infection. COVID-19 infection severely affects function and mobility through its impact on the musculoskeletal system. This article focuses on the impact of the COVID-19 pandemic on physical activity in older people and subsequent effects and implications for function and quality of life.

Bibliometric Analysis of Health Technology Research: 1990~2020

This paper aims to summarize the publishing trends, current status, research topics, and frontier evolution trends of health technology between 1990 and 2020 through various bibliometric analysis methods. In total, 6663 articles retrieved from the Web of Science core database were analyzed by Vosviewer and CiteSpace software. This paper found that: (1) The number of publications in the field of health technology increased exponentially; (2) there is no stable core group of authors in this research field, and the influence of the publishing institutions and journals in China is insufficient compared with those in Europe and the United States; (3) there are 21 core research topics in the field of health technology research, and these research topics can be divided into four classes: hot spots, potential hot spots, margin topics, and mature topics. C21 (COVID-19 prevention) and C10 (digital health technology) are currently two emerging research topics. (4) The number of research frontiers has increased in the past five years (2016-2020), and the research directions have become more diverse; rehabilitation, pregnancy, e-health, m-health, machine learning, and patient engagement are the six latest research frontiers.

Behavioral Patterns of Supply and Demand Sides of Health Services for the Elderly in Sustainable Digital Transformation: A Mixed Methods Study

The aging transformation of digital health services faces issues of how to distinguish influencing factors, redesign services, and effectively promote measures and policies. In this study, in-depth interviews were conducted, and grounded theory applied to open coding, main axis coding, and selective coding to form concepts and categories. Trajectory equifinality modeling clarified the evolution logic of digital transformation. Based on the theory of service ecology, a digital health service aging model was constructed from the “macro–medium–micro” stages and includes governance, service, and technology transformation paths. The macro stage relies on organizational elements to promote the institutionalization of management and guide the transformation of governance for value realization, including the construction of three categories: mechanism, indemnification, and decision-making. The meso stage relies on service elements to promote service design and realize service transformation that is suitable for aging design, including the construction of three categories: organization, resources, and processes. The micro stage relies on technical elements to practice experiencing humanization, including the construction of three categories: target, methods, and evaluation. These results deepen the understanding of the main behaviors and roles of macro-organizational, meso-service, and micro-technical elements in digital transformation practice and have positive significance for health administrative agencies to implement action strategies.

The Impact of Digital Transformation on Inpatient Care: A Mixed Design Study (Preprint)

BACKGROUND

In the context of the digital transformation of all areas of society, health care providers are also under pressure to change. New technologies and a change in patients' self-perception and health awareness require rethinking the provision of health care services. New technologies and the extensive use of data can change provision processes, optimize them, or replace them with new services. The inpatient sector, which accounts for a particularly large share of health care spending, plays a major role in this regard.

OBJECTIVE

This study examined the influences of current trends in digitization on inpatient service delivery.

METHODS

We conducted a scoping review. This was applied to identify the international trends in digital transformation as they relate to hospitals. Future trends were considered from different perspectives. Using the defined inclusion criteria, international peer-reviewed articles published between 2016 and 2021 were selected. The extracted core trends were then contextualized for the German hospital sector with 12 experts.

RESULTS

We included 44 articles in the literature analysis. From these, 8 core trends could be deduced. A heuristic impact model of the trends was derived from the data obtained and the experts' assessments. This model provides a development corridor for the interaction of the trends with regard to technological intensity and supply quality. Trend accelerators and barriers were identified.

CONCLUSIONS

The impact analysis showed the dependencies of a successful digital transformation in the hospital sector. Although data interoperability is of particular importance for technological intensity, the changed self-image of patients was shown to be decisive with regard to the quality of care. We show that hospitals must find their role in new digitally driven ecosystems, adapt their business models to customer expectations, and use up-to-date information and communications technologies.

Barriers and enablers of uptake and adherence to digital health interventions in older patients with cancer: A systematic review

INTRODUCTION

Digital health interventions (DHIs) provide patients with remote access to healthcare information and services through devices and online portals. Older patients (≥65 years old) with cancer may face difficulties using DHIs due to higher physical and psychological burden, but little is known about their pattern of use. The aim of this systematic review was to synthesise current findings related to user's perception of barriers and enablers to uptake and adherence of DHIs in this population.

METHODS

A search for English-language primary qualitative and mixed methods studies on uptake and adherence of DHIs among older patients with cancer was conducted on seven databases (CINAHL, Cochrane, Emcare, JBI, MEDLINE, Proquest, and SCOPUS), since inception until September 2021. Relevant data was extracted, appraised using the MMAT tool, and synthesised based on common themes.

RESULTS

Five studies met the eligibility criteria. All five studies examined barriers and enablers to uptake of DHIs but only two studies examined barriers and enablers to adherence to these interventions. Two themes - usability and perceived usefulness - emerged from all analyses. Usability was measured using system usability scale, ease of use survey, and observation or participant feedback. High usability to uptake was facilitated by minimalist and age-appropriate design. High usability to adherence was facilitated by customisability of DHIs and availability to provide feedback on DHI design. High perceived usefulness to uptake was facilitated by DHIs' ability to provide health information and to connect the patient to their healthcare team. High perceived usefulness to adherence was facilitated by DHIs ability to provide, reminders and contingency plans, reinforce long-term treatment plans, and keep healthcare teams updated on patients' progress. The review was limited by a small number of primary studies and longitudinal studies.

CONCLUSION

The enablers and barriers to uptake and adherence of DHIs among older patients with cancer followed the same themes (usability and perceived usefulness) found in other populations. The components of usability and perceived usefulness were similar to other populations, rendering the need for more studies to identify factors unique to this population.

Sociodemographic disparities in the use of health information technology by a national sample of head and neck cancer patients

BACKGROUND

Quantifying disparities in health information technology (HIT) use among head and neck cancer (HNC) patients may help clinicians reduce care gaps and improve outcomes.

METHODS

Relationships between HIT usage and sociodemographic characteristics were studied for adults with HNC between 2011 and 2018 through a retrospective analysis of the US National Health Interview Survey.

RESULTS

Multivariate logistic regression indicated HIT usage disparities based on race, age, educational attainment, and insurance status. Black (aOR 0.07, 95% CI 0.01-0.52, P = 0.010), uninsured (aOR 0.21, 95% CI 0.06-0.79, P = 0.022), and senior patients (aOR 2.72, 95% CI 1.55-4.80, P < 0.001) emailed providers less than non-Hispanic White, privately insured, and middle-aged (45-64) patients, respectively. Similar disparities were found among patients searching for health information, scheduling appointments, and filling prescriptions online.

CONCLUSION

Black, older, less educated, and un/underinsured HNC patients use HIT less than their counterparts. Reducing these inequities may help improve their outcomes.

Assimilation of Medical Appointment Scheduling Systems and Their Impact on the Accessibility of Primary Care: Mixed Methods Study

BACKGROUND

The COVID-19 pandemic has prompted the adoption of digital health technologies to maximize the accessibility of medical care in primary care settings. Medical appointment scheduling (MAS) systems are among the most essential technologies. Prior studies on MAS systems have taken either a user-oriented perspective, focusing on perceived outcomes such as patient satisfaction, or a technical perspective, focusing on optimizing medical scheduling algorithms. Less attention has been given to the extent to which family medicine practices have assimilated these systems into their daily operations and achieved impacts.

OBJECTIVE

This study aimed to fill this gap and provide answers to the following questions: (1) to what extent have primary care practices assimilated MAS systems into their daily operations? (2) what are the impacts of assimilating MAS systems on the accessibility and availability of primary care? and (3) what are the organizational and managerial factors associated with greater assimilation of MAS systems in family medicine clinics?

METHODS

A survey study targeting all family medicine clinics in Quebec, Canada, was conducted. The questionnaire was addressed to the individual responsible for managing medical schedules and appointments at these clinics. Following basic descriptive statistics, component-based structural equation modeling was used to empirically explore the causal paths implied in the conceptual framework. A cluster analysis was also performed to complement the causal analysis. As a final step, 6 experts in MAS systems were interviewed. Qualitative data were then coded and extracted using standard content analysis methods.

RESULTS

A total of 70 valid questionnaires were collected and analyzed. A large majority of the surveyed clinics had implemented MAS systems, with an average use of 1 or 2 functionalities, mainly "automated appointment confirmation and reminders" and "online appointment confirmation, modification, or cancellation by the patient." More extensive use of MAS systems appears to contribute to improved availability of medical care in these clinics, notwithstanding the effect of their application of advanced access principles. Also, greater integration of MAS systems into the clinic's electronic medical record system led to more extensive use. Our study further indicated that smaller clinics were less likely to undertake such integration and therefore showed less availability of medical care for their patients. Finally, our findings indicated that those clinics that showed a greater adoption rate and that used the provincial MAS system tended to be the highest-performing ones in terms of accessibility and availability of care.

CONCLUSIONS

The main contribution of this study lies in the empirical demonstration that greater integration and assimilation of MAS systems in family medicine clinics lead to greater accessibility and availability of care for their patients and the general population. Valuable insight has also been provided on how to identify the clinics that would benefit most from such digital health solutions.

Alignment of Key Stakeholders' Priorities for Patient-Facing Tools in Digital Health: Mixed Methods Study

Background

There is widespread agreement on the promise of patient-facing digital health tools to transform health care. Yet, few tools are in widespread use or have documented clinical effectiveness.

Objective

The aim of this study was to gain insight into the gap between the potential of patient-facing digital health tools and real-world uptake.

Methods

We interviewed and surveyed experts (in total, n=24) across key digital health stakeholder groups—venture capitalists, digital health companies, payers, and health care system providers or leaders—guided by the Consolidated Framework for Implementation Research.

Results

Our findings revealed that external policy, regulatory demands, internal organizational workflow, and integration needs often take priority over patient needs and patient preferences for digital health tools, which lowers patient acceptance rates. We discovered alignment, across all 4 stakeholder groups, in the desire to engage both patients and frontline health care providers in broader dissemination and evaluation of digital health tools. However, major areas of misalignment between stakeholder groups have stymied the progress of digital health tool uptake—venture capitalists and companies focused on external policy and regulatory demands, while payers and providers focused on internal organizational workflow and integration needs.

Conclusions

Misalignment of the priorities of digital health companies and their funders with those of providers and payers requires direct attention to improve uptake of patient-facing digital health tools and platforms.

Characteristics of the Measurement Tools for Assessing Health Information-Seeking Behaviors in Nationally Representative Surveys: Systematic Review

BACKGROUND

The coronavirus pandemic (COVID-19) has also emerged as an infodemic, thereby worsening the harm of the pandemic. This situation has highlighted the need for a deeply rooted understanding of the health information-seeking behaviors (HISBs) of people.

OBJECTIVE

The aim of this paper was to review and provide insight regarding methodologies and the construct of content in HISB surveys by answering the following research question: what are the characteristics of the measurement tools for assessing HISBs in nationally representative surveys around the world?

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses was used as the framework for this study. A data search was performed through 5 international and 2 Korean databases covering the years between 2008 and 2020. Initially, studies performed among nationally representative samples were included to discover HISB survey instruments. The methodologies of the studies using HISB surveys were analyzed. For content analysis, 2 researchers reached a consensus through discussion by scrutinizing the contents of each survey questionnaire.

RESULTS

A total of 13 survey tools from 8 countries were identified after a review of 2333 records from the search results. Five survey tools (Health Information National Trends Survey, Health Tracking Survey, Annenberg National Health Communication Survey, National Health Interview Survey, and Health Tracking Household Survey) from the United States, 2 instruments from Germany, and 1 tool from each of the countries of the European Union, France, Israel, Poland, South Korea, and Taiwan were identified. Telephone or web-based surveys were commonly used targeting the adult population (≥15 years of age). From the content analysis, the domains of the survey items were categorized as follows: information (information about health and patient medical records), channel (offline and online), and health (overall health, lifestyle, and cancer). All categories encompassed behavioral and attitude dimensions. A theoretical framework, that is, an information-channel-health structure for HISBs was proposed.

CONCLUSIONS

The results of our study can contribute to the development and implementation of the survey tools for HISB with integrated questionnaire items. This will help in understanding HISB trends in national health care.

Use of digital health tools for health promotion in cancer survivors

OBJECTIVE

Although digital health tools (DHTs) are a promising alternative and effective strategy to deliver cancer care and support, their role in health promotion among cancer survivors remains relatively unexplored. We aimed to investigate the acceptability and impact of DHT for health promotion in cancer survivors.

METHODS

Data was pooled from cycle three of the fifth edition of the Health Information National Trends Survey. Logistic regressions were conducted to evaluate differences between cancer survivors and the general population regarding ownership, usage, and perceived usefulness of DHT for health management. Regression models were used to identify sociodemographic predictors of DHT usage among cancer survivors.

RESULTS

Overall, cancer survivors were as likely as the general population to own and use DHT (e.g., health apps, wearable devices) for their care and they were likely to find these tools beneficial in tracking their health and communicating with healthcare providers. Cancer survivors who had health applications installed on their mobile device were more likely to meet national recommendations for diet (fruit and vegetable consumption) and strength training than those without health apps. Age, income, and education level were significant sociodemographic predictors of DHT ownership and usage.

CONCLUSION

Cancer survivors own and use DHT at similarly high rates to the general population, highlighting the potential for utilizing DHT to expand access and continuity of care in the growing and vulnerable oncology population. With increasing use of DHT in healthcare, future research that targets digital access disparities in cancer survivors from low SES is essential.

Barriers and facilitators of the uptake of digital health technology in cardiovascular care: a systematic scoping review

Digital health technology (DHT) has the potential to revolutionize healthcare delivery but its uptake has been low in clinical and research settings. The factors that contribute to the limited adoption of DHT, particularly in cardiovascular settings, are unclear. The objective of this review was to determine the barriers and facilitators of DHT uptake from the perspective of patients, clinicians, and researchers. We searched MEDLINE, EMBASE, and CINAHL databases for studies published from inception to May 2020 that reported barriers and/or facilitators of DHT adoption in cardiovascular care. We extracted data on study design, setting, cardiovascular condition, and type of DHT. We conducted a thematic analysis to identify barriers and facilitators of DHT uptake. The search identified 3075 unique studies, of which 29 studies met eligibility criteria. Studies employed: qualitative methods (n = 13), which included interviews and focus groups; quantitative methods (n = 5), which included surveys; or a combination of qualitative and quantitative methods (n = 11). Twenty-five studies reported patient-level barriers, most common of which were difficult-to-use technology (n=7) and a poor internet connection (n=7). Six studies reported clinician-level barriers, which included increased workload (n=4) and a lack of integration with electronic medical records (n=3).Twenty-four studies reported patient-level facilitators, which included improved communication with clinicians (n=10) and personalized technology (n=6). Four studies reported clinician-level facilitators, which included approval and organizational support from cardiology departments and/or hospitals (n=3) and technologies that improved efficiency (n=3). No studies reported researcher-level barriers or facilitators. In summary, internet access, user-friendliness, organizational support, workflow efficiency, and data integration were reported as important factors in the uptake of DHT by patients and clinicians. These factors can be considered when selecting and implementing DHTs in cardiovascular clinical settings.