Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey

A quality assessment of YouTube as an information resource for tonsillectomy

PURPOSE

Online resources are increasingly being utilised by patients to guide their clinical decision making, as an alternative or supplement to the traditional clinical-patient relationship. YouTube is an online repository of user and community generated videos, which is one of the most popular websites globally. We undertook a study to examine the quality of information presented in YouTube videos related to tonsillectomy.

METHODS

We completed a systematic search of YouTube in May 2023 and identified 88 videos for inclusion in our study. Videos were published in the English language, focussing on tonsillectomy and tonsillectomy recovery, and were greater than 2 min in length. We recorded video quality metrics and two authors independently analysed the quality of information using three validated quality assessment tools described in the literature including the modified DISCERN, Global Quality Score, and the JAMA Benchmark Criteria.

RESULTS

The overall quality of the information was low with mean quality scores of Modified DISCERN (1.8 ± 1.3), GQS (2.6 ± 1.2), and JAMA Benchmark Criteria (1.6 ± 0.7). Information published by medical sources including medical professionals, healthcare organisations, and medical education channels scored significantly higher compared to non-medical sources across all quality measures and were of moderate overall quality and usefulness: Modified DISCERN (2.5 ± 1.1 vs 0.8 ± 0.9, z = -6.0, p < 0.001), GQS (3.2 ± 1.0 vs 1.7 ± 0.9, z = -5.7, p < 0.001), and JAMA (1.9 ± 0.8 vs 1.1 ± 0.3, z = -5.2, p < 0.001). Videos published during or after 2018 scored higher on Modified DISCERN (z = -3.2,p = 0.001) but not on GQS or JAMA. Video quality metrics such as total view count, likes, and comments, and channel subscriber count, did not correlate with higher video quality. However, amongst videos published by authoritative medical sources, total view count correlated positively with higher Modified DISCERN quality scores (p = 0.037).

CONCLUSION

The overall quality and usefulness of YouTube videos on tonsillectomy is of low quality, but information published by authoritative medical sources score significantly higher. Clinicians should be mindful of increasing use of online information sources such as YouTube when counselling patients. Further research is needed in the medical community to create engaging, high-quality content to provide guidance for patients.

Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging

Smartwatches (SW) are wearable devices that support daily life and monitor an individual's health and activity status. This information is utilized to promote behavior modification, which could help prevent chronic diseases and manage the health of older adults. Despite being interested in SWs, older adults tend to decrease their SW usage as they age. Therefore, understanding the acceptance of SWs among older individuals can facilitate individual health management through digital health technology. This study investigated the factors associated with the acceptance of SWs among older adults in Japan and the variations in the factors by sex. This study utilized data from the 2022 Itabashi Longitudinal Study on Aging, an ongoing cohort study conducted by the Tokyo Metropolitan Institute for Geriatrics and Gerontology. We included 899 eligible individuals aged ≥65 years. Participants were classified into three groups: possessing SW (possessor group), not possessing SW but interested in possession in the future (interest group), and not interested in possession in the future (non-interest group) using a self-administered questionnaire. The level of SW acceptance was operationally defined as follows: low (non-interest group), medium (interest group), and high (possessor group). Further, we evaluated the association of acceptance and purchase intentions of SWs with sociodemographic variables, technology literacy, and health variables. Among the participants, 4.2% possessed SWs, with no significant sex difference (men, 4.2%; women, 4.3%). Among men, age < 75 years, obesity, diabetes, and dyslipidemia were significantly associated with SW acceptance level. Contrastingly, among women, age < 75 years, living alone, higher household income, and a high score for new device use in the technology literacy category were significantly associated with SW acceptance level. Health-related factors were associated with SW acceptance in men, while technology literacy and sociodemographic factors were associated with SW acceptance in women. Our findings may inform the development of sex-specific interventions and policies for increasing SW utilization among older adults in Japan.

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.

Role of digital health communication, sociodemographic factors, and medical conditions on perceived quality of patient-centered communication

OBJECTIVE

To simultaneously explore associations between digital health, sociodemographic factors, and medical conditions on patient-centered communication (PCC). These are under-explored, yet important knowledge gaps to fill because perceived quality PCC may influence health information seeking behaviors and health outcomes.

METHODS

Data from the 2019 Health Information National Trends Survey were analyzed. The primary outcome was PCC, which was the summed score of 7 PCC-related questions. Factors of interest included whether participants used electronic methods to communicate with health professionals, age, gender, race/ethnicity, education, feelings about household income, and history of medical conditions. Descriptive statistics and linear regressions were conducted.

RESULTS

In the multivariate linear regression model, people aged 65-74 years compared with 18-34 year-olds, those with some college compared with college graduates, and those who felt they were living comfortably on their household income compared with all others reported higher PCC scores. People with a history of hypertension compared with those without reported higher PCC scores.

CONCLUSION

Similar to past studies, sociodemographic factors were associated with PCC. A novel finding was that a history hypertension was associated with perceived quality of PCC.

PRACTICE IMPLICATIONS

This research may inform methods to enhance communication between patients and clinicians.

Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study

BACKGROUND

Numerous studies have suggested that the relationship between cardiovascular disease (CVD) risk and the usage of mobile health (mHealth) technology may vary depending on the total number of CVD risk factors present. However, whether higher CVD risk is associated with a greater likelihood of engaging in specific mHealth use among US adults is currently unknown.

OBJECTIVE

We aim to assess the associations between the composite CVD risk and each component of mHealth use among US adults regardless of whether they have a history of CVD or not.

METHODS

This study used cross-sectional data from the 2017 to 2020 Health Information National Trends Survey. The exposure was CVD risk (diabetes, hypertension, smoking, physical inactivity, and overweight or obesity). We defined low, moderate, and high CVD risk as having 0-1, 2-3, and 4-5 CVD risk factors, respectively. The outcome variables of interest were each component of mHealth use, including using mHealth to make health decisions, track health progress, share health information, and discuss health decisions with health providers. We used multivariable logistic regression models to examine the association between CVD risk and mHealth use adjusted for demographic factors.

RESULTS

We included 10,531 adults, with a mean age of 54 (SD 16.2) years. Among the included participants, 50.2% were men, 65.4% were non-Hispanic White, 41.9% used mHealth to make health decisions, 50.8% used mHealth to track health progress toward a health-related goal, 18.3% used mHealth to share health information with health providers, and 37.7% used mHealth to discuss health decisions with health providers (all are weighted percentages). Adults with moderate CVD risk were more likely to use mHealth to share health information with health providers (adjusted odds ratio 1.49, 95% CI 1.24-1.80) and discuss health decisions with health providers (1.22, 95% CI 1.04-1.44) compared to those with low CVD risk. Similarly, having high CVD risk was associated with higher odds of using mHealth to share health information with health providers (2.61, 95% CI 1.93-3.54) and discuss health decisions with health providers (1.56, 95% CI 1.17-2.10) compared to those with low CVD risk. Upon stratifying by age and gender, we observed age and gender disparities in the relationship between CVD risk and the usage of mHealth to discuss health decisions with health providers.

CONCLUSIONS

Adults with a greater number of CVD risk factors were more likely to use mHealth to share health information with health providers and discuss health decisions with health providers. These findings suggest a promising avenue for enhancing health care communication and advancing both primary and secondary prevention efforts related to managing CVD risk factors through the effective usage of mHealth technology.

A New Framework for Co-Creating Telehealth for Cancer Care with the Patient Community

The increased use of telehealth in cancer care during the coronavirus disease 2019 pandemic has added to our knowledge and experience of the modality with benefits in terms of efficacy, cost, and patient and healthcare professional experience reported. However, telehealth has also been found not to be universally available to all patients with cancer, nor to be appropriate for every healthcare interaction; additionally, not all patients prefer it. Now that coronavirus disease restrictions have essentially ended and an opportunity to re-assess telehealth provision in cancer care presents, we offer a framework that aims to ensure that the needs and preferences of the patient community are included in the development of telehealth provision. Stakeholders in this process include patients, patient advocates, healthcare providers, healthcare services commissioners, managers, and policy makers. The framework outlines how patient advocates can work with other stakeholders as equal partners at all stages of telehealth service development. The patient advocate community has a unique understanding of the patient perspective as well as expertise in healthcare design and delivery. This enables advocates to contribute to shaping telehealth provision, from policy and guideline formulation to patient navigation. Appropriate resources, education and training may be needed for all stakeholders to support the development of an effective telehealth system. Together with other stakeholders, patient advocates can make an important contribution to optimizing appropriate patient-centred telehealth provision in cancer care.

Health literacy and health information sources in relation to foodborne and waterborne diseases among adults in Gedeo zone, southern Ethiopia, 2022: A community-based cross-sectional study

Introduction

Foodborne and waterborne illnesses affect billions of people each year and impose a significant burden on public health globally. To reduce the prevalence of foodborne and waterborne illness in resource-constrained settings like Ethiopia, it is essential to recognize and address the factors that influence health literacy and the sources of health information. We explored health literacy and health information sources regarding foodborne and waterborne illnesses among adults in the Gedeo zone.

Methods

A community-based quantitative study was undertaken between March and April 2022 in the Gedeo zone in southern Ethiopia. A semi-structured, pretested, and interviewer-administered questionnaire was used to collect data from 1,175 study participants selected through a systematic sampling technique. Data were entered in Epidata version 4.6 and analyzed in STATA version 14.2. Data were analyzed using descriptive statistics and the Chi-square test, and multivariate logistic regression analysis was used to assess the associations between variables at a significance level of 0.05. Further, a structural equation model or path analysis was also used in the data analysis.

Result

1,107 (about 51% men) study participants were included in the analysis. About 25.5% of the participants had a foodborne or waterborne illness in the last six months before the survey. Family members and/or close friends were the most-used channel of health information (43.3%), and the internet or online sources were the least-used (14.5%). The result of path analysis shows that seeking health information, having adequate health literacy, and foodborne and waterborne literacy were significantly associated with lower incidences of foodborne or waterborne illness.

Conclusion

Our findings showed that individuals with a higher level of health literacy and foodborne and waterborne illness literacy had a lower incidence of foodborne and waterborne illness. Similarly, obtaining health information is positively associated with lowering the incidence of foodborne and waterborne illnesses. Importantly, our findings show mass media has the potential to reach a large audience when educating adults about foodborne and waterborne illnesses.

Association of multimorbidity with the use of health information technology

Objective

To examine the association of multimorbidity with health information technology use among adults in the USA.

Methods

We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. Unadjusted and adjusted logistic and multinomial logistic regressions were used to model the associations of multimorbidity with health information technology use.

Results

Among adults with multimorbidity, health information technology use for specific purposes ranged from 37.8% for helping make medical decisions to 51.7% for communicating with healthcare providers. In multivariable regressions, individuals with multimorbidity were more likely to report general use of health information technology (adjusted odds ratios  =  1.48, 95% confidence intervals  =  1.01-2.15) and more likely to use health information technology to check test results (adjusted odds ratios  =  1.85, 95% confidence intervals  =  1.33-2.58) compared to adults with only one chronic condition, however, there were no significant differences in other forms of health information technology use. We also observed interactive associations of multimorbidity and age on various components of health information technology use. Compared to younger adults with multimorbidity, older adults (≥ 65 years of age) with multimorbidity were less likely to use almost all aspects of health information technology.

Conclusion

Health information technology use disparities by age and multimorbidity were observed. Education and interventions are needed to promote health information technology use among older adults in general and specifically among older adults with multimorbidity.

Association Between Patient Portal Use and Perceived Patient-Centered Communication Among Adults With Cancer: Cross-sectional Survey Study

BACKGROUND

Patient-centered communication (PCC) plays a vital role in effective cancer management and care. Patient portals are increasingly available to patients and hold potential as a valuable tool to facilitate PCC. However, whether more frequent use of patient portals is associated with increased perceived PCC and which mechanisms might mediate this relationship have not been fully studied.

OBJECTIVE

The goal of this study was to investigate the association between the frequency of access of patient portals and perceived PCC in patients diagnosed with cancer. We further sought to examine whether this association was mediated by patients' self-efficacy in health information-seeking.

METHODS

We used data from the Health Information National Trend Survey 5 (HINTS 5) cycle 3 (2019) and cycle 4 (2020). This analysis includes 1222 individuals who self-reported having a current or past diagnosis of cancer. Perceived PCC was measured with a 7-item HINTS 5-derived scale and classified as low, medium, or high. Patient portal use was measured by a single item assessing the frequency of use. Self-efficacy about health information-seeking was assessed with a 1-item measure assessing confidence in obtaining health information. We used adjusted multinomial logistic regression models to estimate relative risk ratios (RRRs)/effect sizes of the association between patient portal use and perceived PCC. Mediation by health information self-efficacy was investigated using the Baron and Kenny and Karlson-Holm-Breen methods.

RESULTS

A total of 54.5% of the sample reported that they had not accessed their patient portals in the past 12 months, 12.6% accessed it 1 to 2 times, 24.8% accessed it 3 to 9 times, and 8.2% accessed it 10 or more times. Overall, the frequency of accessing the patient portal was marginally associated (P=.06) with perceived PCC in an adjusted multinominal logistic regression model. Patients who accessed their patient portal 10 or more times in the previous 12 months were almost 4 times more likely (RRR 3.8, 95% CI 1.6-9.0) to report high perceived PCC. In mediation analysis, the association between patient portal use and perceived PCC was attenuated adjusting for health information-seeking self-efficacy, but those with the most frequent patient portal use (10 or more times in the previous 12 months) were still almost 2.5 times more likely to report high perceived PCC (RRR 2.4, 95% CI 1.1-5.6) compared to those with no portal use.

CONCLUSIONS

Increased frequency of patient portal use was associated with higher PCC, and an individual's health information-seeking self-efficacy partially mediated this association. These findings emphasize the importance of encouraging patients and providers to use patient portals to assist in patient-centeredness of cancer care. Interventions to promote the adoption and use of patient portals could incorporate strategies to improve health information self-efficacy.

Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study

BACKGROUND

The internet is one of the most popular health information resources, and the Chinese constitute one-fifth of the online users worldwide. As internet penetration continues to rise, more details on the Chinese population seeking online health information need to be known based on the current literature.

OBJECTIVE

This study aims to explore the sociodemographic differences in online health information seeking (OHIS), including the frequency of OHIS and the types of online health information sought among the general Chinese population in mainland China.

METHODS

A cross-sectional study for assessing the residents' health care needs with self-administered questionnaires was implemented in 4 counties and districts in China from July 2018 to August 2018. Pearson's chi-square test was used to identify the sociodemographic differences between infrequent and frequent online health information seekers. We also performed binary logistic regression for the 4 types of online health information as the dependent variables and the sociodemographic factors as the independent variables.

RESULTS

Compared with infrequent online health information seekers, frequent seekers were more likely to be female (infrequent: 1654/3318; 49.85%; frequent: 1015/1831, 55.43%), older (over 60 years old; infrequent: 454/3318, 13.68%; frequent: 282/1831, 15.40%), married (infrequent: 2649/3318, 79.84%; frequent: 1537/1831, 83.94%), and better educated (bachelor's or above; infrequent: 834/3318, 25.14%; frequent: 566/1831, 30.91%). They were also more likely to earn a higher income (over RMB ¥50k [RMB ¥1=US $0.15641]; infrequent: 1139/3318, 34.33%; frequent: 710/1831, 34.78%), have commercial health insurance (infrequent: 628/3318, 18.93%; frequent: 470/1831, 25.67%), and have reported illness in the past 12 months (infrequent: 659/3318, 19.86%; frequent: 415/1831, 22.67%). Among the 4 health information types, health science popularization was the most searched for information by Chinese online health information seekers (3654/5149, 70.79%), followed by healthy behaviors (3567/5149, 69.28%), traditional Chinese medicine (1931/5149, 37.50%), and medical concerns (1703/5149, 33.07%). The binary logistic regression models showed that males were less likely to seek information on healthy behaviors (adjusted odds ratio [AOR] 0.69, 95% CI 0.61-0.78) and traditional Chinese medicine (AOR 0.64, 95% CI 0.57-0.73), and respondents who had at least 1 chronic disease were more likely to seek information on medical concerns (AOR 1.27, 95% CI 1.07-1.51) and traditional Chinese medicine (AOR 1.26, 95% CI 1.06-1.49).

CONCLUSIONS

Sociodemographic factors were associated with the frequency of OHIS and types of information sought among the general Chinese population. The results remind providers of online health information to consider the needs of specific population groups when tailoring and presenting health information to the target population.

Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey

BACKGROUND

The rapid diffusion of the internet has decreased consumer reliance on health care providers for health information and facilitated the patients' ability to be an agent in control of their own health. However, empirical evidence is limited regarding the effects of health-related internet use among older adults, which is complicated by the proliferation of online health and medical sources of questionable scientific accuracy.

OBJECTIVE

We explore the effects of health-related internet use, education, and eHealth literacy on medical encounters and patient-reported outcomes. Patient-reported outcomes are categorized into two dimensions: (1) self-reported health problem and (2) affective distress (feeling worried and anxious) due to information obtained. We were particularly interested in whether education and eHealth literacy moderate the association between perceived strain in medical encounters and patient-reported outcomes.

METHODS

Our study sample consisted of online panel members who have used the internet as a resource for health information, randomly drawn from one of the largest probability-based online research panels. This paper specifically reports results obtained from older panel members (age≥60 years: n=194). First, we examined descriptive statistics and bivariate associations (Pearson correlations and independent samples t tests). We used hierarchical ordinary least squares regression analyses by running separate regressions for each patient-reported outcome. In model 1, we entered the main effects. In model 2, technology and medical encounter variables were included. Model 3 added the statistical interaction terms.

RESULTS

Age (β=-.17; P=.02), gender (β=-.22; P=.01), and medical satisfaction (β=-.28; P=.01) were significant predictors of self-reported health problems. Affective distress was positively predicted by gender (β=.13; P=.05) and satisfaction with medical encounters (β=.34; P<.001) but negatively predicted by education (β=-.18; P=.03) and eHealth literacy (β=-.32; P=.01). The association between experiencing a health problem in relation to health-related internet use and perception of strained medical encounters was greater among respondents with lower levels of education (β=-.55; P=.04). There was also a significant interaction between education and eHealth literacy in predicting the level of affective distress (β=-.60; P=.05), which indicated that higher levels of education predicted lower averages of feeling anxiety and worry despite lower eHealth literacy. Older women reported higher averages of affective distress (β=.13; P=.05), while older men reported higher averages of experiencing a self-reported health problem (β=-.22; P=.01).

CONCLUSIONS

This study provides evidence for the effect of health-related internet use on patient-reported outcomes with implications for medical encounters. The results could be used to guide educational and eHealth literacy interventions for older individuals.

Internet-Based Health Care Communication Among Cancer Survivors, 2011-2018 National Health Interview Survey

Introduction

Understanding trends and associated factors in internet-based health care communication (IBHC) among cancer survivors is important for meeting patient needs because their reliance on telehealth is growing. We aimed to examine IBHC use among cancer survivors in the US.

Methods

We identified adult cancer survivors aged 18 to 64 (n = 8,029) and 65 or older (n = 11,087) from the National Health Interview Survey in 2011–2018. We calculated temporal trends of self-reported IBHC in the previous year (filled a prescription, scheduled a medical appointment, or communicated with a health care provider) and used multivariable logistic models to identify associated factors.

Results

Approximately 84% of survivors had been diagnosed 2 years or more before the survey. IBHC prevalence increased among cancer survivors aged 18 to 64, from 19.3% to 40.2%, and among those aged 65 or older, from 11.4% to 22.6%, from 2011 to 2018 (P for trend <.001). Among both age groups, lower educational attainment, lack of usual source of care, and current smoking were associated with less IBHC, whereas residing in the South or West, having 1 or more chronic conditions, and drinking any alcohol were associated with higher IBHC (all P < .05). Factors associated with less IBHC also included being non-Hispanic Black or Hispanic, lacking private insurance, and being 11 or more years postdiagnosis among survivors aged 18 to 64; among survivors aged 65 or older, factors were being an older age, not married, and non-US born (all P < .05).

Conclusion

IBHC among cancer survivors is common and increasing, with differences across sociodemographic and behavioral characteristics. As health care delivery continues adopting IBHC and other advanced telehealth techniques, disparities need to be addressed to ensure equitable access to care for all cancer survivors.

Mobile health in preventive cardiology: current status and future perspective

PURPOSE OF REVIEW

Despite cutting edge acute interventions and growing preventive strategies supported by robust clinical trials, cardiovascular disease (CVD) has stubbornly persisted as a leading cause of death in the United States and globally. The American Heart Association recognizes mobile health technologies (mHealth) as an emerging strategy in the mitigation of CVD risk factors, with significant potential for improving population health. The purpose of this review is to highlight and summarize the latest available literature on mHealth applications and provide perspective on future directions and barriers to implementation.

RECENT FINDINGS

While available randomized controlled trials and systematic reviews tend to support efficacy of mHealth, published literature includes heterogenous approaches to similar problems with inconsistent results. Some of the strongest recent evidence has been focused on the use of wearables in arrhythmia detection. Systematic reviews of mHealth approaches demonstrate benefit when applied to risk factor modification in diabetes, cigarette smoking cessation, and physical activity/weight loss, while also showing promise in multi risk factor modification via cardiac rehabilitation.

SUMMARY

Evidence supports efficacy of mHealth in a variety of applications for CVD prevention and management, but continued work is needed for further validation and scaling. Future directions will focus on platform optimization, data and sensor consolidation, and clinical workflow integration. Barriers include application heterogeneity, lack of reimbursement structures, and inequitable access to technology. Policies to promote access to technology will be critical to evidence-based mHealth technologies reaching diverse populations and advancing health equity.

Health Information Technology Use Among Persons With Self-reported Atherosclerotic Cardiovascular Disease: Analysis of the 2011-2018 National Health Interview Survey

BACKGROUND

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality in the United States. Health information technologies (HITs) have recently emerged as a viable intervention to mitigate the burden of ASCVD. Approximately 60% of US adults report searching the internet for health information; however, previous research has not examined the prevalence of general technology or HIT use among adults with and without ASCVD. In addition, social determinants in HIT use among adults with ASCVD are not well understood.

OBJECTIVE

The aim of this study was to evaluate the prevalence and social determinants of HIT use among US adults with versus without self-reported ASCVD.

METHODS

We pooled cross-sectional data from the 2011-2018 National Health Interview Survey (NHIS) to examine the general technology and HIT use among adults aged ≥18 years with and without self-reported ASCVD (coronary heart disease, stroke, or both). General technology use was defined as mobile phone ownership, internet use, and computer use. HIT use was defined as looking up health information on the internet, filling a web-based prescription, scheduling a medical appointment on the internet, communicating with a health care provider by email, or using web-based group chats to learn about health topics. We evaluated sociodemographic differences in HIT use among respondents by using Poisson regression. Analyses were weighted according to NHIS standards.

RESULTS

A total sample of 256,117 individuals were included, of which 2194 (0.9%) reported prior ASCVD. Among adults with prior ASCVD, the mean age was 70.6 (SD 11.5) years, and 47.4% (1048/2194) of the adults were females. General technology use differed between participants with and without prior ASCVD, with 36.0% (614/1826) and 76.2% (157,642/213,816) indicating internet usage and 24.6% (374/1575) and 60.7% (107,742/184,557) indicating using a computer every day, respectively. Similarly, adults with ASCVD were less likely to use HIT than those without ASCVD (515/2194, 25.1% vs 123,966/253,923, 51.0%; P<.001). Among adults with prior ASCVD, social determinants that were associated with HIT use included younger age, higher education, higher income, being employed, and being married.

CONCLUSIONS

HIT use was low among adults with a history of ASCVD, which may represent a barrier to delivering care via emerging HIT. Given the associations with social determinants such as income, education, and employment, targeted strategies and policies are needed to eliminate barriers to impact HIT usage.

Email Patient-Provider Communication and Cancer Screenings Among US Adults: Cross-sectional Study

Background

The growth of electronic medical records and use of patient portals have allowed for patients and health care providers to communicate via email and direct messaging between health care visits. Email patient-provider communication (PPC) may enhance traditional face-to-face PPC by allowing patients to ask questions, receive clear explanations, engage in shared decision-making, and confirm their understanding between in-person visits. Despite increasing trends in the use of email PPC since the early 2000s, few studies have evaluated associations between email PPC and the uptake of preventive services.

Objective

The objective of this study was to determine associations between the use of email PPC and the likelihood of undergoing breast, cervical, and colon cancer screenings among adults who have received health care in the past 12 months.

Methods

Secondary, cross-sectional data from the 2011-2015 National Health Interview Survey were combined and analyzed. For each cancer screening, inclusion criteria were based on the age of screening recommendations and prior history of cancer diagnosis (n=35,912 for breast, n=48,512 for cervical, and n=45,884 for colon). The independent variable was whether adults used email PPC in the past 12 months (yes or no). The dependent variables were whether (1) women (aged ≥40 years) received a mammogram in the past 12 months; (2) women (aged 21-65 years) received a Pap test in the past 12 months; and (3) individuals (aged ≥50 years) received a colon cancer screening in the past 12 months. Bivariate and multivariable logistic regression analyses were conducted.

Results

Adults who reported receiving all three cancer screenings in the past 12 months were more likely to be non-Hispanic White; be married or living with a partner; have a bachelor’s degree or higher education level; have health insurance coverage; and perceive their health as excellent, very good, or good (all P<.001). Men were more likely to receive colon cancer screenings than women (P<.001). Multivariable logistic regression models showed women who used email to communicate with their health care providers had greater odds of receiving breast (odds ratio [OR] 1.32, 95% CI 1.20-1.44) and cervical (OR 1.11, 95% CI 1.02-1.20) cancer screenings than women who did not use email PPC. Adults who used email to communicate with their health care providers had 1.55 times greater odds (95% CI 1.42-1.69) of receiving a colon cancer screening than those who did not use email PPC.

Conclusions

Our results demonstrate that email PPC is a marker of increased likelihood of adults completing age-appropriate cancer screenings, particularly breast, cervical, and colon cancer screenings. More research is needed to examine other factors related to the reasons for and quality of email PPC between patients and health care providers and determine avenues for health education and intervention to further explore this association.

Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people

OBJECTIVE

Cancer care has been disrupted by the response of health systems to the COVID-19 pandemic, especially during lockdowns. The objective of our study is to evaluate the impact of the pandemic on the incidence of cancer diagnoses in primary care.

DESIGN

Time-series study of malignant neoplasms and diagnostic procedures, using data from the primary care electronic health records from January 2014 to September 2020.

SETTING

Primary care, Catalonia, Spain.

PARTICIPANTS

People older than 14 years and assigned in one of the primary care practices of the Catalan Institute of Health with a new diagnosis of malignant neoplasm.

MAIN OUTCOME MEASURES

We obtained the monthly expected incidence of malignant neoplasms using a temporary regression, where the response variable was the incidence of cancer from 2014 to 2018 and the adjustment variables were the trend and seasonality of the time series. Excess or lack of malignant neoplasms was defined as the number of observed minus expected cases, globally and stratified by sex, age, type of cancer and socioeconomic status.

RESULTS

Between March and September 2020 we observed 8766 (95% CI 4135 to 13 397) fewer malignant neoplasm diagnoses, representing a reduction of 34% (95% CI 19.5% to 44.1%) compared with the expected. This underdiagnosis was greater in individuals aged older than 64 years, men and in some types of cancers (skin, colorectal, prostate). Although the reduction was predominantly focused during the lockdown, expected figures have not yet been reached (40.5% reduction during the lockdown and 24.3% reduction after that).

CONCLUSIONS

Reduction in cancer incidence has been observed during and after the lockdown. Urgent policy interventions are necessary to mitigate the indirect effects of the COVID-19 pandemic and related control measures on other diseases and some strategies must be designed in order to reduce the underdiagnosis of cancer.

Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey

BACKGROUND

Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust.

OBJECTIVE

We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis.

METHODS

We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records.

RESULTS

Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, P<.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, P<.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, P<.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, P=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, P<.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, P<.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, P<.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, P=.007).

CONCLUSIONS

Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.

Telemedicine Use and Health-Related Concerns of Patients With Chronic Conditions During COVID-19: Survey of Members of Online Health Communities

BACKGROUND

It has been widely communicated that individuals with underlying health conditions are at higher risk of severe disease due to COVID-19 than healthy peers. As social distancing measures continue during the COVID-19 pandemic, experts encourage individuals with underlying conditions to engage in telehealth appointments to maintain continuity of care while minimizing risk exposure. To date, however, little information has been provided regarding telehealth uptake among this high-risk population.

OBJECTIVE

The aim of this study is to describe the telehealth use, resource needs, and information sources of individuals with chronic conditions during the COVID-19 pandemic. Secondary objectives include exploring differences in telehealth use by sociodemographic characteristics.

METHODS

Data for this study were collected through an electronic survey distributed between May 12-14, 2020, to members of 26 online health communities for individuals with chronic disease. Descriptive statistics were run to explore telehealth use, support needs, and information sources, and z tests were run to assess differences in sociodemographic factors and information and support needs among those who did and did not use telehealth services.

RESULTS

Among the 2210 respondents, 1073 (49%) reported engaging in telehealth in the past 4 months. Higher proportions of women engaged in telehealth than men (890/1781, 50% vs 181/424, 43%; P=.007), and a higher proportion of those earning household incomes of more than US $100,000 engaged in telehealth than those earning less than US $30,000 (195/370, 53% vs 241/530 45%; P=.003). Although 59% (133/244) of those younger than 40 years and 54% (263/486) of those aged 40-55 years used telehealth, aging populations were less likely to do so, with only 45% (677/1500) of individuals 56 years or older reporting telehealth use (P<.001 and P=.001, respectively). Patients with cystic fibrosis, lupus, and ankylosing spondylitis recorded the highest proportions of individuals using telehealth when compared to those with other diagnoses. Of the 2210 participants, 1333 (60%) participants either looked up information about the virus online or planned to in the future, and when asked what information or support would be most helpful right now, over half (1151/2210, 52%) responded "understanding how COVID-19 affects people with my health condition."

CONCLUSIONS

Nearly half of the study sample reported participating in telehealth in the past 4 months. Future efforts to engage individuals with underlying medical conditions in telehealth should focus on outreach to men, members of lower-income households, and aging populations. These results may help inform and refine future health communications to further engage this at-risk population in telehealth as the pandemic continues.

The current state and future of internet technology-based hypertension management in Japan

Internet-based information and communication technology is altering our lives. Although medicine is traditionally conservative, it can benefit in many ways from adopting new technology and styles of care. Hypertension is a prime condition for the practical application of digital health management because it is prevalent and undercontrolled, and its primary index, home blood pressure, can be effectively telemonitored. Compared to other conditions that require laboratory measures or the use of drugs with frequent side effects, hypertension can be managed without actual office visits with sufficiently low risk. In this review of hypertension in Japan, we discuss the current and somewhat fragmented state of internet technology and the components and processes necessary for smooth, integrated, and multidisciplinary care in the future. Although further clinical trials are required to show the safety and efficacy of information and communication technology-based care for hypertension, the deployment of telemonitoring and telemedicine in daily practice should be expedited to solve the hypertension paradox. Challenges remain relating to cost, data integration, the redesigning of team-based care, and the improvement of user experience, but information and communication technology-based hypertension management is sure to become pivotal in improving public health.

Age Differences in the Use of Health Information Technology Among Adults in the United States: An Analysis of the Health Information National Trends Survey

Background: Despite significant advancements in the use of health information technologies (HITs) in health care, older adults' adoption of new technologies has consistently lagged behind that of younger adults. Objective: To compare ownership rates and preferences for utilizing technology for health information exchange among older and younger adults. Methods: Utilizing data from the 2017 and 2018 iterations of the Health Information National Trends Survey (n = 6789), we performed multivariable logistic regression while controlling for sociodemographic characteristics. Results: Older adults were less likely than younger adults to own technological devices such as smartphones, less likely to report finding these tools beneficial in monitoring their health, and less likely to use these tools in communicating with their health providers. However, these differences were substantially attenuated after adjustment for technology ownership. Discussion: Future research should aim to identify factors associated with access, usability, and adoption of HIT for managing care among older adults.

The Use of eHealth Practices by United States Patients with Self-Reported Glaucoma

PURPOSE

Patient-oriented eHealth practices (e.g., scheduling appointments on the Internet, communicating with providers online) are an integral part of modern healthcare delivery. It is not known what proportion of United States patients with glaucoma use eHealth and how this use compares with those without glaucoma.

DESIGN

Cross-sectional study.

PARTICIPANTS

Participants in the 2016 through 2017 National Health Interview Survey (NHIS), a cross-sectional survey regarding health topics that is administered annually to a nationally representative sample of noninstitutionalized adults in the United States.

METHODS

Based on the NHIS complex survey design, we calculated the proportion of participants with and without glaucoma who used 5 different eHealth practices (looking up health information on the Internet, requesting or ordering a prescription medication on the Internet, scheduling a medical appointment on the Internet, communicating with healthcare provider online, and using online groups to learn about health topics) during the 12 months before the survey. We performed univariate and multivariate logistic regression to evaluate the association between self-reported glaucoma diagnosis and use of the eHealth practices.

MAIN OUTCOME MEASURES

Proportion using eHealth practices and odds ratios (ORs).

RESULTS

Forty thousand four hundred sixty-five survey participants were included in the analysis; 1932 had self-reported glaucoma and 38 533 did not. For those with glaucoma, 46.2% (95% confidence interval [CI], 43.3%-49.0%) used at least one of the eHealth practices in the 12 months before the survey compared with 52.5% (95% CI, 51.5%-53.5%) of those without glaucoma (P < 0.001). After adjusting for confounders, participants with glaucoma were more likely to report use of at least 1 of the eHealth practices compared with those without glaucoma (adjusted OR, 1.22; 95% CI, 1.06-1.40; P = 0.005).

CONCLUSIONS

In this nationally representative United States population, nearly half of people with glaucoma reported using eHealth practices. Although a lower proportion of people with glaucoma used eHealth practices compared with those without glaucoma, this relationship actually reversed after adjusting for confounders. Because many patients with glaucoma are capable of and already using e-Health, further investment in these technologies may be beneficial.

Exposure to and attitudes regarding electronic healthcare (e-Health) among physician assistants in Canada: A national survey study

Physician assistants (PAs) are a growing group of healthcare providers who could facilitate the adoption of electronic healthcare (e-Health) into practice. In 2018, we conducted a Canada-wide web-based survey study of practicing PAs and student PAs regarding their current exposure to e-Health, as well as their perceived value for its use and interest in future adoption. For this study, e-Health was defined as technology that allows direct communication between patients and healthcare providers or facilitates patient self-management for the purpose of assessment and management. We focused on telehealth, direct messaging (e.g. text, email), patient-directed web-based applications (apps) and patient-provider shared web-based apps. Survey responses were analysed descriptively and compared between practicing and student PAs with Chi-square tests of independence. We also examined correlations between age, exposure, perceived value and interest in future adoption for practicing PAs and student PAs separately. About 186 respondents completed the survey; 145 practicing PAs and 39 student PAs. Fewer than half of respondents had exposure to the studied e-Health modalities. Compared to practicing PAs, student PAs more often perceived value in e-Health and expressed interest in its expanded adoption. In both groups, perceived value frequently correlated significantly with interest in adoption. Student PAs report little formal education during their training, and both practicing PAs and student PAs note a need for infrastructure support, and general knowledge about what is available and safe in order to enable them to expand their use of e-Health in practice. The most interest is present for patient-directed apps and patient-provider shared apps. With workload and remuneration barriers to physician adoption of e-Health, salary-based PAs could have a role in facilitating the integration of e-Health solutions into practice. Additional awareness, exposure and support for PAs to do so are required.

Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point

Background

Minorities have an increased incidence of early-onset, obesity-related cerebrovascular disease. Unfortunately, effective weight management in this vulnerable population has significant barriers.

Objective

Our objective was to determine the feasibility and preliminary treatment effects of a smartphone-based weight loss intervention versus food journals to monitor dietary patterns in minority stroke patients.

Methods

Swipe out Stroke was a pilot prospective randomized controlled trial with open blinded end point. Minority stroke patients and their caregivers were screened for participation using cluster enrollment. We used adaptive randomization for assignment to a behavior intervention with (1) smartphone-based self-monitoring or (2) food journal self-monitoring. The smartphone group used Lose it! to record meals and communicate with us. Reminder messages (first 30 days), weekly summaries plus reminder messages on missed days (days 31-90), and weekly summaries only (days 91-180) were sent via push notifications. The food journal group used paper diaries. Both groups received 4 in-person visits (baseline and 30, 90, and 180 days), culturally competent counseling, and educational materials. The primary outcome was reduced total body weight.

Results

We enrolled 36 stroke patients (n=23, 64% African American; n=13, 36% Hispanic), 17 in the smartphone group, and 19 in the food journal group. Mean age was 54 (SD 9) years; mean body mass index was 35.7 (SD 5.7) kg/m2; education, employment status, and family history of stroke or obesity did not differ between the groups. Baseline rates of depression (Patient Health Questionnaire-9 [PHQ-9] score median 5.5, IQR 3.0-9.5), cognitive impairment (Montreal Cognitive Assessment score median 23.5, IQR 21-26), and inability to ambulate (5/36, 14% with modified Rankin Scale score 3) were similar. In total, 25 (69%) stroke survivors completed Swipe out Stroke (13/17 in the smartphone group, 12/19 in the food journal group); 1 participant in the smartphone group died. Median weight change at 180 days was 5.7 lb (IQR –2.4 to 8.0) in the smartphone group versus 6.4 lb (IQR –2.2 to 12.5; P=.77) in the food journal group. Depression was significantly lower at 30 days in the smartphone group than in the food journal group (PHQ-9 score 2 vs 8; P=.03). Clinically relevant depression rates remained in the zero to minimal range for the smartphone group compared with mild to moderate range in the food journal group at day 90 (PHQ-9 score 3.5 vs 4.5; P=.39) and day 180 (PHQ-9 score 3 vs 6; P=.12).

Conclusions

In a population of obese minority stroke survivors, the use of a smartphone did not lead to a significant difference in weight change compared with keeping a food journal. The presence of baseline depression (19/36, 53%) was a confounding variable, which improved with app engagement. Future studies that include treatment of poststroke depression may positively influence intervention efficacy.

Trial Registration

ClinicalTrials.gov NCT02531074; https://www.clinicaltrials.gov/ct2/show/NCT02531074

Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS)

Background Mobile health (mHealth) technologies can deliver interventions to prevent and manage cardiovascular disease (CVD), but mHealth uptake among those with or at risk for CVD remains incompletely explored. Therefore, in this group, we assessed the prevalence of mHealth access and usage, and the association between CVD risk and mHealth uptake. Methods and Results Data were from 3248 adults in the 2018 Health Information National Trends Survey. We defined CVD risk as reporting a heart condition, diabetes mellitus, hypertension, and/or current smoking (n=1903). Multivariable logistic regression, adjusting for demographics, was used to assess the relationship between CVD risk and mHealth uptake. Most individuals with CVD risk owned a smartphone (73%, 95% CI: 69%-76%) and 48% (95% CI: 44%-52%) had a health app. Among men, those with CVD risk were more likely to use a wearable device (odds ratio 2.43, 95% CI: 1.44-4.10) than those without CVD risk, while there was no difference among women. In both sexes, CVD risk was associated with sharing information from a smartphone/wearable with a clinician (odds ratio 1.63, 95% CI 1.12-2.35 in women; odds ratio 3.99, 95% CI 2.30-6.95 in men). However, there was no difference in the odds of using mHealth to track health progress, make health decisions, aid healthcare discussions, or text a clinician. Conclusions In a nationally representative sample, there was high prevalence of smartphone ownership but incomplete mHealth uptake. Having CVD or its risk factors was associated with sharing information from smartphone/wearables, suggesting potential to leverage clinically validated mHealth interventions for CVD prevention.

Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study

Background

Despite the increasing prevalence of diabetes and increasing use of electronic health (eHealth) among people with diabetes, little is known about the association between the use of eHealth and the use of provider-based health services.

Objective

The objective of this study was to investigate whether the use of eHealth might change patients’ decisions regarding doctor-seeking behavior and whether information acquired from the internet was discussed with a doctor.

Methods

We used email survey data collected in 2018 from members of the Norwegian Diabetes Association (aged 18 to 89 years) diagnosed with diabetes. Using logistic regressions, we studied patients’ internet-triggered changes in decisions regarding doctor visits; whether they discussed information from the internet with a doctor; and whether these topics were associated with gender, age, education, self-rated health, and self-reported anxiety/depression.

Results

Among the 895 informants, 75.4% (645/856) had never made an internet-triggered change of decision in any direction regarding visiting a doctor, whereas 16.4% (41/859) had decided to visit and 17.3% (148/856) had decided not to visit. The probability of changing decisions decreased with higher age and increased with the severity of self-reported anxiety/depression. Around half of the study participants (448/858, 52.2%) had never discussed information from the internet with a doctor. The probability of discussing internet information with a doctor was higher for those in bad/very bad self-rated health (odds ratio 2.12, CI 1.15-3.90) and for those with moderate self-reported anxiety/depression (odds ratio 2.30, CI 1.30-4.10).

Conclusions

Our findings suggest that using eHealth has a significant impact on doctor-visiting decisions among people with diabetes, especially among people aged 18 to 39 years and among those reporting anxiety/depression. It is of great importance that the information posted is of high quality and that the large differences between internet-users regarding age as well as mental and somatic health status are taken into account. More research is needed to confirm and further explore the findings of this study.

Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis

Background

Health information exchange (HIE) among care providers who cooperate in the treatment of patients with diabetes mellitus (DM) has been rated as an important aspect of successful care. Patient-sharing relations among care providers permit inferences about corresponding information-sharing relations.

Objectives

This study aimed to obtain information for an effective HIE platform design to be used in DM care by analyzing patient-sharing relations among various types of care providers (ToCPs), such as hospitals, pharmacies, and different outpatient specialists, within a nationwide claims dataset of Austrian DM patients. We focus on 2 parameters derived from patient-sharing networks: (1) the principal HIE partners of the different ToCPs involved in the treatment of DM and (2) the required participation rate of ToCPs in HIE platforms for the purpose of effective communication.

Methods

The claims data of 7.9 million Austrian patients from 2006 to 2007 served as our data source. DM patients were identified by their medication. We established metrics for the quantification of our 2 parameters of interest. The principal HIE partners were derived from the portions of a care provider’s patient-sharing relations with different ToCPs. For the required participation rate of ToCPs in an HIE platform, we determine the concentration of patient-sharing relations among ToCPs. Our corresponding metrics are derived in analogy from existing work for the quantification of the continuity of care.

Results

We identified 324,703 DM patients treated by 12,226 care providers; the latter were members of 16 ToCPs. On the basis of their score for 2 of our parameters, we categorized the ToCPs into low, medium, and high. For the most important HIE partner parameter, pharmacies, general practitioners (GPs), and laboratories were the representatives of the top group, that is, our care providers shared the highest numbers of DM patients with these ToCPs. For the required participation rate of type of care provide (ToCP) in HIE platform parameter, the concentration of DM patient-sharing relations with a ToCP tended to be inversely related to the ToCPs member count.

Conclusions

We conclude that GPs, pharmacies, and laboratories should be core members of any HIE platform that supports DM care, as they are the most important DM patient-sharing partners. We further conclude that, for implementing HIE with ToCPs who have many members (in Austria, particularly GPs and pharmacies), an HIE solution with high participation rates from these ToCPs (ideally a nationwide HIE platform with obligatory participation of the concerned ToCPs) seems essential. This will raise the probability of HIE being achieved with any care provider of these ToCPs. As chronic diseases are rising because of aging societies, we believe that our quantification of HIE requirements in the treatment of DM can provide valuable insights for many industrial countries.

What Kind Of A Mobile Health App Do Patients Truly Want? A Pilot Study Among Ambulatory Surgery Patients

BACKGROUND

An increasing number of surgeries are performed as ambulatory surgeries, and mobile health applications (m-health apps) have therefore been designed to help provide patients with more convenient health-care services and improve the working efficiency of health-care professionals (HCPs). To find an effective approach to design such m-health apps, a study to evaluate ambulatory surgery patients' preferences is necessary.

METHODS

A structured questionnaire was distributed to 360 patients undergoing ambulatory surgery to understand their demographic characteristics, preferences regarding the features and functions of m-health apps and willingness to engage with m-health apps.

RESULTS

In total, 84.16% of ambulatory surgery patients stated that they would be willing to engage with an m-health app during the perioperative period. In addition, their top 10 necessary features and functions of m-health apps were related mainly to ambulatory surgery and communication with HCPs. Furthermore, younger age (χ ²=10.42, p<0.01), employment (χ ²=9.04, p<0.01), higher education (χ ²=13.67, p<0.01), longer daily use of phones (χ ²=11.84, p<0.01) and more frequent usage of m-health apps (χ ²=23.23, p<0.01) were associated with patients' willingness to engage with m-health apps, but only more frequent usage of m-health apps (OR=2.97, 95% CI=1.54-5.71, p<0.01) was found to be a predictor.

CONCLUSION

This study presents an initial evaluation of ambulatory surgery patients' preferences regarding m-health apps. Gaining these insights will be useful to help us design an evidence-based, highly functional m-health app that best meets the needs of patients undergoing ambulatory surgery.