The Internet as a Route to Health Information, Support, and Healthcare for Cancer Survivors

Understanding patient perspectives on health-related searches on the internet: Insights from an online survey of Korean patients with systemic lupus erythematosus

BACKGROUND

With the increasing prevalence of digital devices and internet access, digital resources have become essential for educating patients with chronic diseases. We explored the patient perspective on health-related internet searches among Korean patients with systemic lupus erythematosus (SLE).

METHODS

We collected data through a Google Survey from 344 SLE patients. The survey covered demographics, preferred digital devices and sources, and digital information content, and participants' views on digital resources. We analyzed patient characteristics associated with digital resource usage.

RESULTS

Of the 344 patients, 270 reported using the internet to acquire disease-related information, including the association between nutrition and SLE, general information on SLE, and coping strategies for SLE management. SLE-related searches on the internet were more common in patients younger than 40 years (p = 0.002), those with fewer than 15 years of disease duration (p < 0.001), and those with higher education levels (p = 0.022). Disease duration was independently associated with internet use. Patients reported that internet searches for information on SLE improved their understanding of the disease in 181 cases and motivated self-management in 166 cases. In addition, 98 patients found it helpful to make a shared decision with physicians.

CONCLUSION

Health-related searches on the internet are widely used by SLE patients to gather comprehensive information on the disease and to address unmet needs. The positive impact of SLE-related internet searches on disease understanding and self-management emphasizes the importance of developing high-quality digital resources to improve patient education and self-care for the disease.

The Effects of the COVID-19 Pandemic on Age-Based Disparities in Digital Health Technology Use: Secondary Analysis of the 2017-2022 Health Information National Trends Survey

BACKGROUND

The COVID-19 pandemic accelerated the adoption of digital health technology, but it could also impact age-based disparities as existing studies have pointed out. Compared with the pre-pandemic period, whether the rapid digitalization of the health care system during the pandemic widened the age-based disparities over a long period remains unclear.

OBJECTIVE

This study aimed to analyze the long-term effects of the COVID-19 pandemic on the multifaceted landscape of digital health technology used across diverse age groups among US citizens.

METHODS

We conducted the retrospective observational study using the 2017-2022 Health Information National Trends Survey to identify the influence of the COVID-19 pandemic on a wide range of digital health technology use outcomes across various age groups. The sample included 15,505 respondents, which were categorized into 3 age groups: adults (18-44 years), middle-aged adults (45-64 years), and older adults (more than 65 years). We also designated the time point of March 11, 2020, to divide the pre- and post-pandemic periods. Based on these categorizations, multivariate linear probability models were used to assess pre-post changes in digital health technology use, controlling for demographic, socioeconomic, and health-related variables among different age groups.

RESULTS

Essentially, older adults were found to be significantly less likely to use digital health technology compared with adults, with a 26.28% lower likelihood of using the internet for health information (P<.001) and a 32.63% lower likelihood of using health apps (P<.001). The usage of digital health technology for all age groups had significantly increased after the onset of the pandemic, and the age-based disparities became smaller in terms of using the internet to look for health information. However, the disparities have widened for older adults in using the internet to look up test results (11.21%, P<.001) and make appointments (10.03%, P=.006) and using wearable devices to track health (8.31%, P=.01).

CONCLUSIONS

Our study reveals a significant increase in the use of digital health technology among all age groups during the pandemic. However, while the disparities in accessing online information have narrowed, age-based disparities, particularly for older adults, have widened in most areas such as looking up test results and making appointments with doctors. Therefore, older adults are more likely left behind by the rapidly digitalized US health care system during the pandemic. Policy makers and health care providers should focus on addressing these disparities to ensure equitable access to digital health resources for US baby boomers.

A comparison of the sociodemographic, medical, and psychosocial characteristics of adolescents and young adults diagnosed with cancer recruited in-person and online: A Canadian cross-sectional survey

Introduction

Adolescents and young adults diagnosed with cancer (AYAs) are under-represented in research. The Internet and social media could increase the reach of recruitment efforts but may impact sample characteristics. This study evaluated the characteristics of AYAs recruited in-person at an urban hospital versus the Internet in terms of their sociodemographic and medical characteristics, and psychosocial wellbeing, and offers recommendation for increasing the inclusivity and representativeness of research samples.

Methods

Participant data from a cross-sectional survey of AYAs in Canada were evaluated. In-person hospital recruitment used a registry to identify patients attending ambulatory clinics. Internet recruitment included notices on hospital, team members', and community partners' social media channels, and email newsletters. Independent sample t-tests and Chi-squared tests were used to identify differences in participant sociodemographic, medical, and psychosocial characteristics based on recruitment source.

Results

Of 436 participants, 217 (49.8%) were recruited in-person and 219 (50.2%) online. Online participants were more likely: to be white (p < .001), women (p < .001), and Canadian-born (p < .001); to speak English at home (p < .001), live alone (p = .001) and live in rural settings (p = .014); and to be farther from diagnosis (p = .023), diagnosed with breast cancer (p < .001), and cancer free (p < .001) compared to the hospital sample. Online participants also reported higher anxiety, depression, and loneliness (p < .001), and lower social support (p < .001), self-efficacy for coping with cancer (p < .001), and life satisfaction (p = .006).

Conclusions

Online recruitment yielded a more geographically diverse but less sociodemographically diverse sample of AYAs who were farther from diagnosis and had poorer psychosocial wellbeing than in-person recruitment at an urban hospital. Future research efforts should consider partnering with under-represented communities and using targeted and stratified online and in-person recruitment strategies to achieve an inclusive and representative sample of AYAs.

Factors associated with internet use and health information technology use among older people with multi-morbidity in the United States: findings from the National Health Interview Survey 2018

BACKGROUND

The number of older adults with physical multi-morbidity is increasing. As Internet-based eHealth and mHealth increasingly require patients to use technology, it is important to examine the use of Internet/health information technology (HIT) among older adults with physical multi-morbidity. Here we examine the distribution of physical multi-morbidity, Internet use, and HIT use, and further explored the factors associated with Internet use and HIT use among older adults with physical multi-morbidity.

METHODS

One wave of data from the 2018 US National Health Interview Survey (NHIS) was analysed. We included respondents aged 65 years and older. We used 13 physical non-communicable diseases to measure physical multi-morbidity. Descriptive statistics and logistic regression models, with sociodemographic factors, health status, health insurance, health care service use, and satisfaction with health care as covariates, were used to examine the research questions.

RESULTS

Of 72,746 respondents in NHIS, 7060 were eligible for our analysis. 5380 (76.2%) eligible respondents had physical multi-morbidity in this study. Overall, 60% of older adults reported using the Internet, with 38.9% using eHealth services (defined as looking up health information online, filling a prescription, scheduling an appointment with a health care provider, or communicating with a health care provider via email). Gender, age, marital status, region, race, education, and family income were significant factors associated with the Internet and HIT use among people with multi-morbidity. The study also showed that after adjusting for confounders, good health status, having Medicare, receiving home care from a health professional, and low satisfaction with health care were positive predictors of the Internet and HIT use.

CONCLUSIONS

In summary, our study found that Internet and HIT use among older patients with chronic diseases is far from the Healthy People 2030 target. Internet and HIT use vary depending on a number of sociodemographic factors. Relevant influencing factors should be fully considered in health education interventions promoted.

Web-Based Peer Navigation for Men with Prostate Cancer and Their Family Caregivers: A Pilot Feasibility Study

This study assessed the feasibility, acceptability and potential effects of True North Peer Navigation (PN)—a web-based peer navigation program for men with prostate cancer (PC) and their family caregivers. A one-arm, pre-post pilot feasibility study was conducted at two cancer centres in Canada. Participants were matched through a web-app with a specially trained peer navigator who assessed needs and barriers to care, provided support and encouraged a proactive approach to health for 3 months. Descriptive statistics were calculated, along with paired t-tests. True North PN was feasible, with 57.9% (84/145) recruitment, 84.5% (71/84) pre-questionnaire, 77.5% (55/71) app registration, 92.7% (51/55) match and 66.7% (34/51) post-questionnaire completion rates. Mean satisfaction with Peer Navigators was 8.4/10 (SD 2.15), mean program satisfaction was 6.8/10 (SD 2.9) and mean app usability was 60/100 (SD 14.8). At 3 months, mean ± SE patient/caregiver activation had improved by 11.5 ± 3.4 points (p = 0.002), patient quality of life by 1.1 ± 0.2 points (p < 0.0001), informational support by 0.4 ± 0.17 points (p = 0.03), practical support by 0.5 ± 0.25 points (p = 0.04) and less need for support related to fear of recurrence among patients by 0.4 ± 19 points (p = 0.03). The True North web-based peer navigation program is highly feasible and acceptable among PC patients and caregivers, and the associated improvements in patient and caregiver activation are promising. A randomized controlled trial is warranted to determine effectiveness.

"What We Want Is More Access…": Experiences of Supportive Cancer Care and Strategies for Advancement in a Canadian Provincial Cancer Care Organization

Objectives: Despite calls for better supportive care, patients and families still commonly bear significant responsibility for managing the physical and mental health and social challenges of being diagnosed with and treated for cancer. As such, there is increased advocacy for integrated supportive care to ease the burden of this responsibility. The purpose of this study was to understand patient and caregiver experiences with supportive care to advance its delivery at a large provincial cancer care organization in Canada. Method: We used a qualitative descriptive approach to analyze focus groups with patients and caregivers from seven sites across the large provincial cancer care organization. Results: Focus group participants (n = 69) included cancer patients (n = 57) and caregivers (n = 12). Participants highlighted positive and negative aspects of their experience and strategies for improvement. These are depicted in three themes: (1) improving patient and provider awareness of services; (2) increasing access; (3) enhancing coordination and integration. Participants’ specific suggestions included centralizing relevant information about services, implementing a coach or navigator to help advocate for access, and delivering care virtually. Conclusions: Participants highlighted barriers to access and made suggestions for improving supportive care that they believed would reduce the burden associated with trying to manage their cancer journey.