Prevalence, Factors, and Association of Electronic Communication Use With Patient-Perceived Quality of Care From the 2019 Health Information National Trends Survey 5-Cycle 3: Exploratory Study

Patient Portal Use Among Patients With Vascular Anomalies and Their Caregivers

BACKGROUND

Patients with vascular anomalies (VAs) experience poor communication and have unmet information needs. Online patient portals could mitigate communication barriers and support communication interventions. However, these portals are often underutilized.

PROCEDURE

We retrospectively queried audit-log data from the Electronic Health Record (EHR) of a single large academic healthcare center for all patients seen by clinicians from a multidisciplinary specialist clinic with a diagnosed VA from January 2020 to January 2024. We connected audit-log data with patient demographics to examine how patients used the portal, and whether use varied by patient characteristics.

RESULTS

We queried portal usage for 315 patients with vascular anomalies, of whom 43% were children, 19% were adolescents, and 38% were adults. Approximately half of patients' portals were logged into during the study period (51%, n = 162). Of users who ever logged into the portal, the median number of logins per year were 35 (interquartile range 15 to 95). Multiple regression results show that portal access was higher for patients who are White, reside in a metropolitan area, and have lower Area Deprivation Index. Of users who ever logged into the portal, 77% viewed clinician notes, 90% viewed test results, and 71% engaged in messaging with a clinician at least once.

CONCLUSION

Half of patients and caregivers never use the portal, and patients from less urban areas with higher deprivation are even less likely to use the portal. As portals become more integrated into patient care, these inequities in portal access could lead to inequities in health outcomes.

Ethics in Patient Preferences for Artificial Intelligence-Drafted Responses to Electronic Messages

Importance

The rise of patient messages sent to clinicians via a patient portal has directly led to physician burnout and dissatisfaction, prompting uptake of artificial intelligence (AI) to alleviate this burden. It is important to understand patient preferences around AI in patient-clinician communication as ethical guidelines on appropriate use and disclosure (patient notification of AI use) are developed.

Objective

To analyze patient preferences regarding use of AI in electronic messages.

Design, Setting, and Participants

A survey study was conducted within the Duke University Health System's patient advisory committee, consisting of individuals 18 years or older who participate in periodic surveys to inform health system patient care practices. Multiple surveys were administered to test the impact of different factors, including response author, disclosure (AI, human, or none), and seriousness of the topic. A follow-up survey assessed preferred disclosure verbiage. Surveys were administered from October 31 to December 11, 2023.

Exposure

Multiple surveys.

Main Outcomes and Measures

Participants rated their overall satisfaction, usefulness of the information, and perceived level of care on a 5-point Likert scale.

Results

Of the 2511 members surveyed, 1455 (57.9%) responded, with respondents being older (median age, 57 [IQR, 49-70] vs 53 [IQR, 41-62] years), more educated (872 of 1083 [80.5%] vs 319 of 440 [72.5%] with a college or graduate degree), and predominantly female (921 [63.3%]). Participants preferred AI- compared with human-drafted responses, with a mean difference for satisfaction of -0.30 (95% CI, -0.37 to -0.23) points, usefulness of -0.28 (95% CI, -0.34 to -0.22) points, and perception they were cared for of -0.43 (95% CI, -0.50 to -0.37) points. Participants tended to have higher satisfaction with a human disclosure over AI disclosure, with a mean difference of 0.13 (95% CI, 0.05-0.22) points, and with no disclosure over AI authorship disclosure, with a mean difference of 0.09 (95% CI, 0.01-0.17) points. Regardless of author or disclosure type, more than 75% of respondents were satisfied (agree or strongly agree) with the response.

Conclusions and Relevance

In this survey study, participants expressed a mild preference for messages written by AI but had a slightly decreased satisfaction when told AI was involved. Patient experience must be considered along with ethical implementation of AI. Although AI disclosure may slightly reduce satisfaction, disclosure should be maintained to uphold patient autonomy and empowerment.

Electronic Communication Between Children's Caregivers and Health Care Teams: Scoping Review on Parental Caregiver's Perceptions and Experience

Background

Asynchronous communication via electronic modes (e-communication), including patient portals, secure messaging services, SMS text messaging, and email, is increasingly used to supplement synchronous face-to-face medical visits; however, little is known about its quality in pediatric settings.

Objective

This review aimed to summarize contemporary literature on pediatric caregivers' experiences with and perspectives of e-communication with their child's health care team to identify how e-communication has been optimized to improve patient care.

Methods

A scoping review following the Arksey and O'Malley methodological framework searched PubMed, CINAHL, Embase, and Web of Science using terms such as "Electronic Health Records" and "Communication" from 2013 to 2023 that discussed caregiver experiences and perspectives of e-communication with their child's health care provider. Studies were excluded if they were abstracts, non-English papers, nonscientific papers, systematic reviews, or quality improvement initiatives, or pertained to synchronous telemedicine. We conducted a two-step screening process by scanning the title and abstract and reviewing the full text by two independent screeners to confirm eligibility. From an initial 903 articles identified via the database search, 23 articles fulfilled all the inclusion criteria and are included in this review.

Results

Of the 23 articles meeting the inclusion criteria, 11 used quantitative methods, 7 used qualitative methods, and 5 used mixed methods. The caregiver sample sizes ranged from 51 to 3339 in the quantitative studies and 8 to 36 in the qualitative and mixed methods studies. A majority (n=17) used the patient portal that was self-categorized by the study. Secure messaging through a portal or other mobile health app was used in 26% (n=6) of the studies, while nonsecure messaging outside of the portal was used 17% (n=4) of the time and email was used 33.3% (n=8) of the time. In 19 of the studies, parents reported positive experiences with and a desire for e-communication methods.

Conclusions

The literature overwhelmingly supported caregiver satisfaction with and desire for e-communication in health care, but no literature intentionally studied how to improve the quality of e-communication, which is a critical gap to address.

The mediating role of healthy behaviors and self-perceived health in the relationship between eating behaviors and comorbidity in adults

BACKGROUND

There is limited information on how healthy behaviors and individual health perceptions mediate the relationship between eating behaviors and noncommunicable diseases in adults. This study aimed to evaluate the mediating role of these factors in the relationship between eating behaviors and comorbidity in U.S. adults.

METHODS

A cross-sectional predictive study using data from 5,247 adults from the Health Information National Trends Survey (HINTS) 5, cycle 3 (2019) was conducted. Structural equation modeling (SEM) was used to assess the mediating effect.

RESULTS

The model showed good fit (χ2/df = 1.22, CFI = 971, TLI = 959, RMSEA = 0.050, SRMR = 0.036). It was found that self-perceived health totally mediated the relationship between eating behaviors and comorbidities (β = - 0.026, p < .001). Additionally, healthy behaviors and self-perceived health together mediated the relationship between eating behaviors and comorbidities (β = - 0.025, p < .001). A direct relationship was also observed between healthy behaviors and comorbidities, mediated by self-perceived health (β = - 0.103, p < .001).

CONCLUSION

The study concludes that eating behaviors are significantly related to comorbidities through the mediation of healthy behaviors and self-perceived health.

Differential utilization of the online patient portal for completion of health-related social needs screening during routine gynecologic cancer care

BACKGROUND

Telehealth technologies offer efficient ways to deliver health-related social needs (HRSN) screening in cancer care, but these methods may not reach all populations. The authors examined patient characteristics associated with using an online patient portal (OPP) to complete HRSN screening as part of gynecologic cancer care.

METHODS

From June 2021 to June 2023, patients in a gynecologic oncology clinic completed validated HRSN screening questions either (1) using the OPP (independently before the visit) or (2) in person (verbally administered by clinic staff). The authors examined the prevalence of HRSN according to activated OPP status and, in a restricted subgroup, used stepwise multivariate Poisson regression to identify associations between patient and visit characteristics and using the OPP.

RESULTS

Of 1616 patients, 87.4% (n = 1413) had an activated OPP. Patients with inactive OPPs (vs. activated OPPs) more frequently reported two or more needs (10% vs 5%; p < .01). Of 986 patients in the restricted cohort, 52% used the OPP to complete screening. The final multivariable model indicated that patients were less likely to use the OPP if they were Black (vs. White; adjusted relative risk [aRR], 0.70; 95% confidence interval [CI], 0.59-0.83); not employed (vs. employed; aRR, 0.81; 95% CI, 0.68-0.97), or had low measures of OPP engagement (aRR, 0.80; 95% CI, 0.68-0.92). New versus established patients were 21% more likely to use the OPP (aRR, 1.21; 95% CI, 1.06-1.38).

CONCLUSIONS

Differential use of the OPP suggested that over-reliance on digital technologies could limit the ability to reach those populations that have social factors already associated with cancer outcome disparities. Cancer centers should consider using multiple delivery methods for HRSN screening to maximize reach to all populations.

A Comparative Analysis of Healthcare Quality Perception Among Different Vulnerable Populations with and without Telehealth Utilization: A Cross-Sectional Study from the Health Information National Trends Survey

OBJECTIVE

The COVID-19 pandemic led to a rapid expansion of telehealth utilization in medicine. However, the quality measures associated with telehealth use remain unclear, particularly among vulnerable populations. This study aims to investigate the impact of telehealth on individuals' perception of overall quality care among vulnerable patient populations.

METHODS

This cross-sectional study utilized Health Information National Trends Survey data. The individuals' overall perception of healthcare quality was compared between populations that had at least one telehealth visit and non-telehealth users, who all had the option of utilizing telehealth. This comparison focused on vulnerable populations, considering differences in race and ethnicity (non-Hispanic white vs. non-Hispanic black/Hispanic individuals) and socioeconomic status (high vs. low). Multivariable logistic regressions were employed to ascertain the association between individuals' overall perceptions of quality care with and without telehealth utilization.

RESULTS

A total of 2920 participants, representing an unweighted population of 114,608,302, were analyzed. The adjusted odds ratio (AOR) for at least one telehealth visit associated with individuals' overall perception of quality care among the entire survey population was 0.76 with a 95% CI of 0.51-1.13 (p = 0.173). The AOR was 0.83 (95% CI 0.39-1.77, p = 0.618) among the non-White population, and the AOR was 0.71 (95% CI 0.29-1.78, p = 0.462) among individuals with low SES.

CONCLUSIONS

Although telehealth utilization has both its limitations and advantages compared to traditional clinical visits, no statistically significant differences in individuals' overall perception of quality care were identified among telehealth and non-telehealth users. These findings were also consistent across various vulnerable populations.

Preferred sources of information on diabetes prevention programmes: a population-based cross-sectional study in Poland

OBJECTIVE

This study aimed to analyse preferred sources of information on diabetes prevention programmes and to identify sociodemographic determinants influencing these preferences among adults in Poland.

DESIGN

A cross-sectional survey was carried out between 15 and 18 September 2023 using a computer-assisted web interview. A self-prepared questionnaire included 10 questions on sources of information on type 2 diabetes prevention.

PARTICIPANTS

Data were obtained from 1046 adults (18-82 years); 53.4% were females.

RESULTS

Most respondents preferred email communication (46.4%), followed by a doctor or nurse (33.5%), and a letter or leaflet directly delivered to the mailbox (25.8%) for type 2 diabetes mellitus (DM2) prevention information. Younger respondents were more likely to indicate mass media (OR=1.81, 95% CI=1.12 to 2.95, p=0.01) and digital media (OR=1.65, 95% CI=1.02 to 2.67, p=0.04) as a source of information on DM2 prevention. Those who had higher education (OR=1.51, 95% CI=1.16 to 1.96, p=0.002), as well as those with chronic diseases (OR=1.50, 95% CI=1.14 to 1.97, p=0.004), were more likely to indicate digital media. Out of 10 different variables analysed in this study, passive occupational status (OR=1.43, 95% CI=1.04 to 1.96, p=0.03) as well as having chronic diseases (OR=1.51, 95% CI=1.16 to 1.96, p=0.002) were associated with higher odds of indicating healthcare workers as a preferred source of information. Marital status, having children, place of residence, household characteristics and financial status do not significantly decide communication preferences.

CONCLUSION

Communication on DM2 prevention should be adjusted to public preferences and expectations. Tailoring interventions to different demographic groups can enhance outreach and engagement. Email emerged as a popular choice, suggesting the potential of digital communication in preventive health programmes.

Perceived communication efficacy and unmet needs for chemotherapy-associated symptom management in patients with lung and colorectal cancer: a cross-sectional study

BACKGROUND

Understanding cancer patients' unmet needs for chemotherapy-related symptom management will assist clinicians in developing tailored intervention programs. Little is known about the association between perceived communication efficacy and unmet care needs for symptom management in patients with lung and colorectal cancer.

OBJECTIVES

To examine the unmet care needs for symptom management of patients with lung and colorectal cancer and their association with perceived communication efficacy.

METHODS

A cross-sectional survey was conducted in a tertiary hospital in China from July to November 2020. A convenience sample of 203 patients with lung and colorectal cancer undergoing chemotherapy completed survey questionnaires, including the MD Anderson Symptom Inventory Scale and the Perceived Efficacy in Patient‒Physician Interactions Scale.

RESULTS

Approximately 43% of participants had at least one symptom with unmet needs. Fatigue was reported as the symptom with the highest occurrence (66%), the highest demand for supportive care (36%), and the highest prevalence of unmet needs (19%). Low levels of perceived communication efficacy independently predicted participants' unmet needs for symptom management (β=-0.13, p = 0.011).

CONCLUSIONS

This study highlights the necessity of introducing clinical assessment tools and guidelines to address fatigue and other chemotherapy-induced symptoms in patients with lung and colorectal cancer. Clinical programs designed to actively engage cancer patients to voice their needs and strengthen their communication efficacy are also warranted.

Risks Associated with Quality Care among Hispanic and White Populations-A Cross-Sectional Comparison Study

Quality care in healthcare is a multifaceted concept that encompasses the execution of effective medical treatments and the patient's overall experience. It involves a multitude of factors, including effectiveness, safety, timeliness, equity, and patient centeredness, which are important in shaping the healthcare landscape. This cross-sectional study used the data from the Health Information National Trends Survey 6 (HINTS 6), which collects data on various aspects of health communication and information-seeking behaviors, to investigate the factors associated with quality care among White and Hispanic populations. All adults who participated in HINTS 6 and visited healthcare service at least once in the past 12 months were included in this study. Multivariable logistic regression was used to determine the association between quality care and delay or discriminated care with the adjustment of all other sociodemographic variables. We analyzed a total of 3611 participants. Poor social determinants of health (SDOHs) (OR 0.61, CI 0.43-0.88, p = 0.008), delayed needed medical care (OR 0.34, CI 0.26-0.43, p < 0.001), and discriminated care (OR 0.29, CI 0.15-0.54, p < 0.001) were all negatively associated with optimal quality care. Negative SDOHs could also be positively associated with delayed care and discriminated care.

Determinants of American Adults' Use of Digital Health and Willingness to Share Health Data to Providers, Family, and Social Media: A Cross-sectional Study

With the global pandemic driving the adoption of digital health, understanding the predictors or determinants of digital health usage and information sharing gives an opportunity to advocate for broader adoption. We examined the prevalence and predictors of digital health usage and information-sharing behaviors among American adults. Data were from the Health Information National Trends Survey 5 Cycle 4. More than two-thirds used a digital resource for health-related activities (eg, to check test results). About 81% were willing to share their digital data with their provider, 75% with family, and 58% with friends. Only 14% shared health information on social media. Gender, education, device types, and performance expectancy of digital health were common factors associated with both digital health usage and information-sharing behaviors. Other predictors included rurality, patient portal access, income, and having a chronic disease. Of note, we found that Asian American Pacific Islanders, compared with Whites, were less likely to share information with providers. Performance expectancy was a significant determinant of information sharing. Those diagnosed with diabetes were 4% less likely to share information with their providers. With the growing digital divide, there is a need to advocate for more usable and accessible digital health to assist with person-centered care.

Identifying contributors to disparities in patient access of online medical records: examining the role of clinician encouragement

Objective

The aim of this study was to understand the influence of clinician encouragement and sociodemographic factors on whether patients access online electronic medical records (EMR).

Materials and Methods

We analyzed 3279 responses from the Health Information National Trends Survey 5 cycle 4 survey, a cross-sectional, nationally representative survey administered by the National Cancer Institute. Frequencies and weighted proportions were calculated to compare clinical encouragement and access to their online EMR. Using multivariate logistic regression, we identified factors associated with online EMR use and clinician encouragement.

Results

In 2020, an estimated 42% of US adults accessed their online EMR and 51% were encouraged by clinicians to access their online EMR. In multivariate regression, respondents who accessed EMR were more likely to have received clinician encouragement (odds ratio [OR], 10.3; 95% confidence interval [CI], 7.7-14.0), college education or higher (OR, 1.9; 95% CI, 1.4-2.7), history of cancer (OR, 1.5; 95% CI, 1.0-2.3), and history of chronic disease (OR, 2.3; 95% CI, 1.7-3.2). Male and Hispanic respondents were less likely to have accessed EMR than female and non-Hispanic White respondents (OR, 0.6; 95% CI, 0.5-0.8, and OR, 0.5; 95% CI, 0.3-0.8, respectively). Respondents receiving encouragement from clinicians were more likely to be female (OR, 1.7; 95% CI, 1.3-2.3), have college education (OR, 1.5; 95% CI, 1.1-2.0), history of cancer (OR, 1.8; 95% CI, 1.3-2.5), and greater income levels (OR, 1.8-3.6).

Discussion

Clinician encouragement of patient EMR use is strongly associated with patients accessing EMR, and there are disparities in who receives clinician encouragement related to education, income, sex, and ethnicity.

Conclusions

Clinicians have an important role to ensure that all patients benefit from online EMR use.

Use of Electronic Communication with Clinicians Among Cancer Survivors: Health Information National Trend Survey in 2019 and 2020

Purpose: To describe cancer survivors' use of electronic communication (e-communication) with clinicians and identify factors associated with their use, including the COVID-19 pandemic. Methods: Secondary analysis included cancer survivors (N = 1,482) from the combined Health Information National Trends Survey HINTS 5 Cycle 3 and Cycle 4. Survivors' use of e-communication was defined by at least one of four e-communication use behaviors in the past 12 months. Bivariate analysis and logistic regression were conducted to examine factors associated with e-communication use. All analyses considered the complex survey design using the jackknife replication method. Results: The prevalence of e-communication use was 64% among cancer survivors. The overall e-communication use slightly increased after the start of the COVID-19 pandemic (63% vs. 64%, p = 0.79). Older adults (≥65 years old) were less likely to use e-communication (odds ratio [OR] = 0.55; 95% confidence interval [CI], 0.36-0.86); survivors who were white (OR = 2.30; 95% CI, 1.36-3.86), living in a metro area (OR = 2.47; 95% CI, 1.44-4.27), diagnosed with breast cancer (OR = 2.03; 95% CI, 1.06-3.88), seeking cancer-related information previously (OR = 2.89; 95% CI, 1.83-4.58), or having a regular health care provider (OR = 2.07,; 95% CI, 1.10-3.88) were more likely to use e-communication. The start of the COVID-19 pandemic was marginally associated with the increased e-communication use (p = 0.053) when other variables were controlled. Conclusion: This nationally representative survey analysis has identified disparities in e-communication use among cancer survivors and revealed the potential increase in e-communication use under the impact of the COVID-19 pandemic. Additional support is clearly warranted for those older, nonwhite, living in rural areas, or without a regular provider, to promote their e-communication use for the delivery of optimal and high-quality cancer care.

Use of Digital Health Technology Among Older Adults With Cancer in the United States: Findings From a National Longitudinal Cohort Study (2015-2021)

BACKGROUND

Despite the benefits of digital health technology use, older adults with cancer (ie, aged 65 years) have reported challenges to technology adoption. However, there has been a lack of a good understanding of their digital health technology use patterns and the associated influential factors in the past few years.

OBJECTIVE

This study aimed to examine the trends in and factors associated with digital health technology use among older adults with cancer.

METHODS

The National Health and Aging Trends Study (NHATS) data set is a national longitudinal cohort study with annual survey waves of Medicare beneficiaries 65 years and older. Participants were community-dwelling older adults who self-reported previous or current cancer diagnoses in each round. The study sample size of each round ranged from 1996 (2015) to 1131 (2021). Digital health technology use was defined as using the internet or online in the last month to order or refill prescriptions, contact medical providers, handle Medicare or other insurance matters, or get information about their health conditions. The association of sociodemographics, clinical factors (self-rated health, chronic conditions, difficulties in activities of daily living, dementia, anxiety, and depression), and physical function (Short Physical Performance Battery and grip strength) with digital health technology use was examined using design-based logistic regression. All statistical analyses accounted for the complex sample design.

RESULTS

The prevalence of any digital health technology use increased from 36% in 2015 to 45% in 2019. In 2020-2021, which was amid the COVID-19 pandemic, it ranged from 51% to 52%. In terms of each digital health technology use behavior, in 2015, overall, 28% of older cancer survivors used digital health technology to obtain health information, followed by contacting clinicians (19%), filling prescriptions (14%), and handling insurance (11%). Greater use of digital health technology was associated with younger age, being White, having a college or higher education, having a higher income, having more comorbidities, nondementia, and having a higher gait speed.

CONCLUSIONS

Digital health technology use in older adults with cancer has gradually increased, particularly during the COVID-19 pandemic. However, socioeconomic and racial disparities have remained in older cancer survivors. Additionally, older adults with cancer may have some unique features associated with digital health technology use; for example, their use of digital health may be increased by their comorbidities (ie, health care needs) and reduced by their frailty.

Predictors of cancer risky and preventive behaviors among the Nebraska farmers population

PURPOSE

Previous studies on cancer risk among agricultural producers have focused on occupational exposures, with only a few studies examining behavioral factors. The aim of this study was to understand cancer risky and preventative behaviors among the large farming population in Nebraska.

METHODS

A statewide cross-sectional study of farmers in Nebraska aged 19 and older was conducted in 2019 (n = 782). Multivariable logistic regression was used to examine factors associated with being up to date on cancer screening and with cancer risky and preventive behaviors.

FINDINGS

The 93.68% of the Nebraska farmers population do not meet the daily recommended consumption of fruits and vegetables, and 70.14% reported regular alcohol consumption. The proportion of adults up to date on cancer screening was 79.57% for breast, 67.55% for cervical, 85.54% for colorectal, and 46.05% for skin cancers. Compared to women, men had a higher odds of heavy alcohol consumption (aOR 2.96, 95% CI 1.94-4.56) and ever smoking 100 or more cigarettes (aOR 1.66, 95% CI 1.03-2.73). The odds of being current with skin cancer screening was higher among those with higher incomes (aOR 1.77, 95% CI 1.06-3.01). Compared to men aged 50-64, the odds of being current with prostate cancer screening was higher among men aged 65-74 (aOR: 2.65, 95% CI 1.10-7.31) and 75 and older (aOR: 7.73, 95% CI 2.03-51.73).

CONCLUSIONS

Disparities in cancer screening and risk and preventive behaviors exist among farmers in Nebraska. The study highlights a need for continuing efforts to improve preventive cancer behaviors targeted to the farming population.