Patient-facing Technologies Research Articles

Children and young people’s preferences and needs when using health technology to self-manage a long-term condition: a scoping review

BackgroundThe use of patient-facing health technologies to manage long-term conditions (LTCs) is increasing; however, children and young people (CYP) may have preferences about health technologies which they interact or engage...

Challenges in Selecting Patient-Reported Outcome Measures for Use in a Patient-Facing Technology.

Patient-reported outcome measures (PROMs) have been increasingly integrated into patient-facing technologies to engage and empower patients in cancer self-management at home. However, researchers and developers face several challenges in selecting the best-suited PROMs for patient-facing technologies, due to the complex nature of the disease, the multitude of PROMs with high psychometric quality, and the lack of clear standards for PROM utilization. In this paper, we have discussed these challenges, illustrated by breast cancer instruments.

A Quantitative Analysis of Patient-Facing Technologies for Patient Self-Reporting.

Dramatic improvements in patient-facing technologies have demonstrated the potential to transform healthcare delivery for a 360-degree holistic view of care. A key question regarding how such technologies affect patient self-reporting still needs to be answered. This study presents the technologies and their associated key variables via quantitative analysis. Associations were found between single-platform and web-based applications (apps), Android apps and physician view, mental health disease, and user feedback. The results are intended to inform future design, development, and evaluation of patient-facing technologies. More systematic, theory-driven, framework-based design and evaluation are necessary to fully characterize the effectiveness and maintenance of patient-facing technologies toward a sustainable strategy.

Selecting patient-reported outcome measures for a patient-facing technology.

This article provides insight into our process and considerations for selecting patient-reported outcome measures (PROMs) designed for self-reporting symptoms and quality-of-life among breast cancer (BCA) patients undergoing oral anticancer agent treatment via a patient-facing technology (PFT) platform. Following established guidelines, we conducted a thorough assessment of a specific set of PROMs, comparing their content to identify the most suitable options for studying BCA patients. We recommend utilizing the combination of EORTC QLQ-C30 + EORTC QLQ-BR45 as the preferred instrument, especially when developing a dedicated "breast cancer-only" application. When developing and maintaining a dashboard for a PFT platform that includes multiple cancer types, it is important to consider the feasibility of interface design and workload. To achieve this, we recommend using PRO-CTCAE+PROMIS 10 GH for the PFT. Moreover, it is important to consider adding ad hoc items to complement the chosen PROM(s). This article describes our efforts to identify PROMs for self-reported data while considering patient and developer burdens, providing guidance to PFT developers facing similar challenges in PROM selection.

P36 Navigating the Digital Health Landscape for Chronic Disease Management: A Value Assessment Framework for Patient-Facing Technologies

Digital health technologies (DHTs) have the potential to revolutionize the healthcare industry by optimizing costs and improving the quality and efficiency of care. However, the rapid pace of innovation in the field and the lack of consistent evidence standards make it challenging for decision-makers to effectively evaluate these technologies. To address this challenge, we propose a value framework for assessing DHTs that are used to manage chronic diseases.

Digital health for chronic disease management: An exploratory method to investigating technology adoption potential.

The availability of consumer-facing health technologies for chronic disease management is skyrocketing, yet most are limited by low adoption rates. Improving adoption requires a better understanding of a target population's previous exposure to technology. We propose a low-resource approach of capturing and clustering technology exposure, as a mean to better understand patients and target health technologies. Using Multiple Sclerosis (MS) as a case study, we applied exploratory multivariate factorial analyses to survey data from the Swiss MS Registry. We calculated individual-level factor scorings, aiming to investigate possible technology adoption clusters with similar digital behavior patterns. The resulting clusters were transformed using radar and then compared across sociodemographic and health status characteristics. Our analysis included data from 990 respondents, resulting in three clusters, which we defined as the (1) average users, (2) health-interested users, and (3) low frequency users. The average user uses consumer-facing technology regularly, mainly for daily, regular activities and less so for health-related purposes. The health-interested user also uses technology regularly, for daily activities as well as health-related purposes. The low-frequency user uses technology infrequently. Only about 10% of our sample has been regularly using (adopting) consumer-facing technology for MS and health-related purposes. That might indicate that many of the current consumer-facing technologies for MS are only attractive to a small proportion of patients. The relatively low-resource exploratory analyses proposed here may allow for a better characterization of prospective user populations and ultimately, future patient-facing technologies that will be targeted to a broader audience.

EHealth Use on Acute Inpatient Mental Health Units: Implementation Processes, Common Practices, and Barriers to Use.

Information technology to promote health (eHealth) is an important and growing area of mental healthcare, yet little is known about the use of patient-facing eHealth in psychiatric inpatient settings. This quality improvement project examined the current practices, barriers, implementation processes, and contextual factors affecting eHealth use across multiple Veteran Health Administration (VHA) acute mental health inpatient units.Staff from units serving both voluntary and involuntary patients (n = 49 from 37 unique sites) completed surveys regarding current, desired, and barriers to use of Veteran-facing eHealth technologies. Two subsets of respondents were then interviewed (high success sites in eHealth use, n = 6; low success sites, n = 4) to better understand the context of their eHealth use. Survey responses indicated that 20% or less of Veterans were using any type of eHealth technology while inpatient. Tablets and video chat were the most desired overall and most successfully used eHealth technologies. However, many sites noted difficulty implementing these technologies (e.g., limited Wi-Fi access). Qualitative analysis of interviews revealed differences in risk/benefit analysis and implementation support between high and low success eHealth sites. Despite desired use, patient-facing eHealth technology is not regularly implemented on inpatient units due to multiple barriers (e.g., limited staffing, infrastructure needs). Successful implementation of patient-facing eHealth may require an internal champion, guidance from external supports with experience in successful eHealth use, workload balance for staff, and an overall perspective shift in the benefits to eHealth technology versus the risks.

Targeting Patients' Cognitive Load for Telehealth Video Visits Through Student-Delivered Helping Sessions at a United States Federally Qualified Health Center: Equity-Focused, Mixed Methods Pilot Intervention Study.

The task complexity involved in connecting to telehealth video visits may disproportionately impact health care access in populations already experiencing inequities. Human intermediaries can be a strategy for addressing health care access disparities by acting as technology helpers to reduce the cognitive load demands required to learn and use patient-facing telehealth technologies. We conducted a cognitive load theory-informed pilot intervention involving warm accompaniment telehealth helping sessions with patients at a Federally Qualified Health Center (FQHC). We demonstrate how to design and report recruitment methods, reach, delivery process, and the preliminary impact of a novel equity-focused intervention. Early into the COVID-19 pandemic a telehealth helping session was offered to patients at FQHC via phone. Graduate students led the sessions on conducting a telehealth video test run or helping with patient portal log-in. They systematically recorded their recruitment efforts, intervention observations, and daily reflection notes. Following the intervention, we asked the intervention participants to participate in an interview and all patients who had telehealth visits during and 4 weeks before and after the intervention period to complete a survey. Electronic health records were reviewed to assess telehealth visit format changes. Descriptive and inferential statistical analyses of the recruitment records, electronic health record data, and surveys were performed. Through integrative analysis, we developed process-related themes and recommendations for future equity-focused telehealth interventions. Of the 239 eligible patients, 34 (14.2%) completed the intervention and 3 (1.2%) completed subsequent interviews. The intervention participants who completed the survey (n=15) had lower education and less technological experience than the nonintervention survey participants (n=113). We identified 3 helping strategies for cognitive load reduction: providing step-by-step guidance for configuring and learning, building rapport to create confidence while problem-solving, and being on the same page to counter informational distractions. Intervention participants reported increased understanding but found that learning the video visit software was more difficult than nonintervention participants. A comparison of visit experiences did not find differences in difficulty (cognitive load measure) using telehealth-related technologies, changes to visit modality, or reported technical problems during the visit. However, the intervention participants were significantly less satisfied with the video visits. Although a limited number of people participated in the intervention, it may have reached individuals more likely to need technology assistance. We postulate that significant differences between intervention and nonintervention participants were rooted in baseline differences between the groups' education level, technology experience, and technology use frequency; however, small sample sizes limit conclusions. The barriers encountered during the intervention suggest that patients at FQHC may require both improved access to web-based technologies and human intermediary support to make telehealth video visits feasible. Future large, randomized, equity-focused studies should investigate blended strategies to facilitate video visit access.

Technology about me without me: An examination of the relationship between patient-facing technology and patient experience

To appreciate the role of electronic health records (EHRs) in achieving the goals of patient-centered care, scholars have focused primarily on the influence of EHR capabilities on clinical providers’ behaviors. The objective of this study is to examine the degree to which patient-facing technology (P-Tech) in U.S. hospital EHRs are associated with patient evaluations of their care experience. A cross-sectional OLS regression is executed to examine the relationship between P-Tech and patient experience on a sample of U.S. hospitals (n=1,168) compiled via data from CMS, the American Hospital Association’s (AHA) Annual Survey (2014), and the AHA Health Information Technology supplement (2014). Findings confirm a positive relationship between P-Tech and overall ratings of patient experience. In addition, the results find that P-Tech capabilities correspond to various communication pathways (Exchanging Information, Self-Management, and Administrative Actions) outlined by Street et al.1 The findings show an association between hospitals offering patient-facing EHR technologies that enable exchange of information and better patient evaluations of their care experience. As care delivery continues to explore the advancement of telehealth and telecare services, highlighting patient perspectives and appreciating that patients perceive face-to-face interactions as a complement to digital interactions will be key to the digital transformation of healthcare.

Digital Health Applications in Oncology: An Opportunity to Seize.

Digital health advances have transformed many clinical areas including psychiatric and cardiovascular care. However, digital health innovation is relatively nascent in cancer care, which represents the fastest growing area of health-care spending. Opportunities for digital health innovation in oncology include patient-facing technologies that improve patient experience, safety, and patient-clinician interactions; clinician-facing technologies that improve their ability to diagnose pathology and predict adverse events; and quality of care and research infrastructure to improve clinical workflows, documentation, decision support, and clinical trial monitoring. The COVID-19 pandemic and associated shifts of care to the home and community dramatically accelerated the integration of digital health technologies into virtually every aspect of oncology care. However, the pandemic has also exposed potential flaws in the digital health ecosystem, namely in clinical integration strategies; data access, quality, and security; and regulatory oversight and reimbursement for digital health technologies. Stemming from the proceedings of a 2020 workshop convened by the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine, this article summarizes the current state of digital health technologies in medical practice and strategies to improve clinical utility and integration. These recommendations, with calls to action for clinicians, health systems, technology innovators, and policy makers, will facilitate efficient yet safe integration of digital health technologies into cancer care.

Outpatient portal use among pregnant individuals: Cross-sectional, temporal, and cluster analysis of use.

BackgroundOutpatient portal technology can improve patient engagement. For pregnant individuals, the level of engagement could have important implications for maternal and infant outcomes.ObjectiveThis study: (1) cross-sectionally and temporally characterized the outpatient portal use among pregnant individuals seen at our academic medical center; and (2) identified clusters of the outpatient portal user groups based on the cross-sectional and temporal patterns of use.MethodsWe used outpatient portal server-side log files to execute a hierarchical clustering algorithm to group 7663 pregnant individuals based on proportions of outpatient portal function use. Post-hoc analyses were performed to further assess outpatient portal use on key encounter characteristics.ResultsThe most frequently used functions were MyRecord (access personal health information), Visits (manage appointments), Messaging (send/receive messages), and Billing (view bills, insurance information). Median outpatient portal function use plateaued by the third trimester. Four distinct clusters were identified among all pregnant individuals: “Schedulers,” “Resulters,” “Intense Digital Engagers,” and “Average Users.” Post-hoc analyses revealed that the use of the Visits function increased and the use of the MyRecord function decreased over time among clusters.ConclusionsOur identification of distinct cluster groups of outpatient portal users among pregnant individuals underscores the importance of avoiding the use of generalizations when describing how such patients might engage with patient-facing technologies such as an outpatient portal. These results can be used to improve user experience and training with outpatient portal functions and may educate maternal health providers on patient engagement with the outpatient portal.

Next-Generation Implementation of Chimeric Antigen Receptor T-Cell Therapy Using Digital Health.

Chimeric antigen receptor T-cell (CAR-T) therapy is a paradigm-shifting immunotherapy modality in oncology; however, unique toxicities such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome limit its ability to be implemented more widely in the outpatient setting or at smaller-volume centers. Three operational challenges with CAR-T therapy include the following: (1) the logistics of toxicity monitoring, ie, with frequent vital sign checks and neurologic assessments; (2) the specialized knowledge required for toxicity management, particularly with regard to CRS and immune effector cell-associated neurotoxicity syndrome; and (3) the need for high-quality symptomatic and supportive care during this intensive period. In this review, we explore potential niches for digital innovations that can improve the implementation of CAR-T therapy in each of these domains. These tools include patient-facing technologies and provider-facing platforms: for example, wearable devices and mobile health apps to screen for fevers and encephalopathy, electronic patient-reported outcome assessments-based workflows to assist with symptom management, machine learning algorithms to predict emerging CRS in real time, clinical decision support systems to assist with toxicity management, and digital coaching to help maintain wellness. Televisits, which have grown in prominence since the novel coronavirus pandemic, will continue to play a key role in the monitoring and management of CAR-T-related toxicities as well. Limitations of these strategies include the need to ensure care equity and stakeholder buy-in, both operationally and financially. Nevertheless, once developed and validated, the next-generation implementation of CAR-T therapy using these digital tools may improve both its safety and accessibility.

Designing Consumer Health Information Technology to Support Biform and Articulation Work: A Qualitative Study of Diet and Nutrition Management as Patient Work.

BackgroundDiet and nutrition management is an integral component of Crohn disease (CD) management. This type of management is highly variable and individualized and, thus, requires personalized approaches. Consumer health information technology (CHIT) designed to support CD management has typically supported this task as everyday life work and, not necessarily, as illness work. Moreover, CHIT has rarely supported the ways in which diet and nutrition management requires coordination between multiple forms of patient work.ObjectiveThe purpose of this study was to investigate diet and nutrition management as biform work, identify components of articulation work, and provide guidance on how to design CHIT to support this work.MethodsWe performed a qualitative study in which we recruited participants from CD-related Facebook pages and groups.ResultsSemistructured interviews with 21 individuals showed that diet and nutrition management strategies were highly individualized and variable. Four themes emerged from the data, emphasizing the interactions of diet and nutrition with physical, emotional, information, and technology-enabled management.ConclusionsThis study shows that the extent to which diet and nutrition management is biform work fluctuates over time and that articulation work can be continuous and unplanned. The design guidance specifies the need for patient-facing technologies to support interactions among diet and nutrition and other management activities such as medication intake, stress reduction, and information seeking, as well as to respond to the ways in which diet and nutrition management needs change over time.

Patient Portal Use, Perceptions of Electronic Health Record Value, and Self-Rated Primary Care Quality Among Older Adults: Cross-sectional Survey.

BackgroundOlder adults are increasingly accessing information and communicating using patient-facing portals available through their providers’ electronic health record (EHR). Most theories of technology acceptance and use suggest that patients’ overall satisfaction with care should be independent of their chosen level of portal engagement. However, achieving expected benefits of portal use depends on demonstrated support from providers to meet these expectations. This is especially true among older adults, who may require more guidance. However, little is known about whether misalignment of expectations around technology-facilitated care is associated with lower perceptions of care quality.ObjectiveThe aims of this study were to analyze whether older adults’ assessment of primary care quality differs across levels of patient portal engagement and whether perceptions of how well their provider uses the EHR to support care moderates this relationship.MethodsWe conducted a cross-sectional survey analysis of 158 older adults over the age of 65 (average age 71.4 years) across Michigan using a 13-measure composite of self-assessed health care quality. Portal use was categorized as none, moderate (use of 1-3 functionalities), or extensive (use of 4-7 functionalities). EHR value perception was measured by asking respondents how they felt their doctor’s EHR use improved the patient–provider relationship.ResultsModerate portal users, compared to those who were extensive users, had lower estimated care quality (–0.214 on 4-point scale; P=.03). Differences between extensive portal users and nonportal users were not significant. Quality perception was only particularly low among moderate portal users with low EHR value perception; those with high EHR value perception rated quality similarly to other portal user groups.ConclusionsOlder adults who are moderate portal users are the least satisfied with their care, and the most sensitive to perceptions of how well their provider uses the EHR to support the relationship. Encouraging portal use without compromising perceptions of quality requires thinking beyond patient-focused education. Achieving value from use of patient-facing technologies with older adults is contingent upon matched organizational investments that support technology-enabled care delivery. Providers and staff need policies and practices that demonstrate technology adeptness. Older adults may need more tailored signaling and accommodation for technology to be maximally impactful.

Health-Related Goal Setting and Achievement Among Veterans with High Technology Adoption.

There is increasing recognition of the importance of supporting patients in their health-related goals. Patient-provider discussions and health-related mobile applications (apps) can support patients to pursue health goals; however, their impact on patient goal setting and achievement is not well understood. To examine the relationships between the following: (1) patient demographics, patient-provider discussions, and health-related goal setting and achievement, and (2) patient mobile health app use and goal achievement. Cross-sectional survey. Veterans who receive Veterans Health Administration (VA) healthcare and are users of VA patient-facing technology. Veteran demographics, goal-related behaviors, and goal achievement. Veterans were invited to participate in a telephone survey. VA administrative data were linked to survey data for additional health and demographic information. Logistic regression models were run to identify factors that predict health-related goal setting and achievement. Among respondents (n=2552), 75% of patients indicated having set health goals in the preceding 6 months and approximately 42% reported achieving their goal. Men (vs. women) had lower odds of setting goals (OR: 0.71; CI95: 0.53-0.97), as did individuals with worse (vs. better) health (OR: 0.18; CI95: 0.04-0.88). Individuals with advanced education-some college/college degrees, and post-college degrees (vs. no college education)-demonstrated higher odds of setting goals (OR: 1.35; CI95: 1.01-1.79; OR: 1.71; CI95: 1.28-2.28, respectively). Those who reported having discussed their goals with their providers were more likely to set goals (OR: 3.60; CI95: 2.97-4.35). Patient mobile health app use was not statistically associated with goal achievement. Efforts to further promote patient-led goal setting should leverage the influence of patient-provider conversations. Use of patient-facing technologies, specifically mobile health apps, may facilitate goal-oriented care, but further work is needed to examine the potential benefits of apps to support patient goals, particularly if providers discuss and endorse use of those apps with patients.

Effectiveness of a primary care-based integrated mobile health intervention for stroke management in rural China (SINEMA): A cluster-randomized controlled trial.

BackgroundManaging noncommunicable diseases through primary healthcare has been identified as the key strategy to achieve universal health coverage but is challenging in most low- and middle-income countries. Stroke is the leading cause of death and disability in rural China. This study aims to determine whether a primary care-based integrated mobile health intervention (SINEMA intervention) could improve stroke management in rural China.Methods and findingsBased on extensive barrier analyses, contextual research, and feasibility studies, we conducted a community-based, two-arm cluster-randomized controlled trial with blinded outcome assessment in Hebei Province, rural Northern China including 1,299 stroke patients (mean age: 65.7 [SD:8.2], 42.6% females, 71.2% received education below primary school) recruited from 50 villages between June 23 and July 21, 2017. Villages were randomly assigned (1:1) to either the intervention or control arm (usual care). In the intervention arm, village doctors who were government-sponsored primary healthcare providers received training, conducted monthly follow-up visits supported by an Android-based mobile application, and received performance-based payments. Participants received monthly doctor visits and automatically dispatched daily voice messages. The primary outcome was the 12-month change in systolic blood pressure (BP). Secondary outcomes were predefined, including diastolic BP, health-related quality of life, physical activity level, self-reported medication adherence (antiplatelet, statin, and antihypertensive), and performance in “timed up and go” test. Analyses were conducted in the intention-to-treat framework at the individual level with clusters and stratified design accounted for by following the prepublished statistical analysis plan. All villages completed the 12-month follow-up, and 611 (intervention) and 615 (control) patients were successfully followed (3.4% lost to follow-up among survivors). The program was implemented with high fidelity, and the annual program delivery cost per capita was US$24.3. There was a significant reduction in systolic BP in the intervention as compared with the control group with an adjusted mean difference: −2.8 mm Hg (95% CI −4.8, −0.9; p = 0.005). The intervention was significantly associated with improvements in 6 out of 7 secondary outcomes in diastolic BP reduction (p < 0.001), health-related quality of life (p = 0.008), physical activity level (p < 0.001), adherence in statin (p = 0.003) and antihypertensive medicines (p = 0.039), and performance in “timed up and go” test (p = 0.022). We observed reductions in all exploratory outcomes, including stroke recurrence (4.4% versus 9.3%; risk ratio [RR] = 0.46, 95% CI 0.32, 0.66; risk difference [RD] = 4.9 percentage points [pp]), hospitalization (4.4% versus 9.3%; RR = 0.45, 95% CI 0.32, 0.62; RD = 4.9 pp), disability (20.9% versus 30.2%; RR = 0.65, 95% CI 0.53, 0.79; RD = 9.3 pp), and death (1.8% versus 3.1%; RR = 0.52, 95% CI 0.28, 0.96; RD = 1.3 pp). Limitations include the relatively short study duration of only 1 year and the generalizability of our findings beyond the study setting.ConclusionsIn this study, a primary care-based mobile health intervention integrating provider-centered and patient-facing technology was effective in reducing BP and improving stroke secondary prevention in a resource-limited rural setting in China.Trial registrationClinicalTrials.gov NCT03185858.

Assessment of automated clinical trial recruitment and enrolment using patient-facing technology

ObjectiveInteractive patient care systems (IPCS) at the bedside are becoming increasingly common, but evidence is limited as to their potential for innovative clinical trial implementation. The objective of this study...

Factors Influencing Patients' Initial Decisions Regarding Telepsychiatry Participation During the COVID-19 Pandemic: Telephone-Based Survey.

BackgroundTelepsychiatry enables patients to establish or maintain psychiatric care during the COVID-19 pandemic. Little is known about the factors influencing patients’ initial decisions to participate in telepsychiatry in the midst of a public health crisis.ObjectiveThis paper seeks to examine factors influencing patients’ initial decisions to accept or decline telepsychiatry immediately after the stay-at-home order in Michigan, their initial choice of virtual care modality (video or telephone), and their anticipated participation in telepsychiatry once clinics reopen for in-person visits.MethodsBetween June and August 2020, we conducted a telephone-based survey using a questionnaire comprising 14 quantitative and two qualitative items as part of a quality improvement initiative. We targeted patients who had an in-person appointment date that fell in the first few weeks following the Michigan governor’s stay-at-home order, necessitating conversion to virtual visits or deferment of in-person care. We used descriptive statistics to report individual survey responses and assess the association between chosen visit type and patient characteristics and future participation in telepsychiatry using multivariable logistic regression.ResultsA total of 244 patients whose original in-person appointments were scheduled within the first 3 weeks of the stay-at-home order in Michigan completed the telephone survey. The majority of the 244 respondents (n=202, 82.8%) initially chose to receive psychiatric care through video visits, while 13.5% (n=33) chose telephone visits and 1.2% (n=3) decided to postpone care until in-person visit availability. Patient age correlated with chosen visit type (P<.001; 95% CI 0.02-0.06). Patients aged ≥44 years were more likely than patients aged 0-44 years to opt for telephone visits (relative risk reduction [RRR] 1.2; 95% CI 1.06-1.35). Patient sex (P=.99), race (P=.06), type of insurance (P=.08), and number of previous visits to the clinic (P=.63) were not statistically relevant. Half of the respondents (132/244, 54.1%) stated theywere likely to continue with telepsychiatry even after in-person visits were made available. Telephone visit users were less likely than video visit users to anticipate future participation in telepsychiatry (RRR 1.08; 95% CI 0.97-1.2). Overall, virtual visits met or exceeded expectations for the majority of users.ConclusionsIn this cohort, patient age correlates with the choice of virtual visit type, with older adults more likely to choose telephone visits over video visits. Understanding challenges to patient-facing technologies can help advance health equity and guide best practices for engaging patients and families through telehealth.

Improving Patient Engagement Through Patient Decision Support

During the past decade, patient engagement has been the buzz phrase of health information technology, with dozens of vendors offering text message interventions, smartphone applications (apps), electronic patient portals, and other patient-facing software innovations. These technologies crunch data to deliver targeted health advice and promise better outcomes, lower costs, and higher satisfaction. However, a closer look at the burgeoning and diverse array of patient-facing technologies reveals that each operationalizes patient engagement differently.

Adoption of a Personal Health Record in the Digital Age: Cross-Sectional Study.

BackgroundAs health care organizations strive to improve health care access, quality, and costs, they have implemented patient-facing eHealth technologies such as personal health records to better engage patients in the management of their health. In the Kingdom of Saudi Arabia, eHealth is also growing in accordance with Vision 2030 and its National Transformation Program framework, creating a roadmap for increased quality and efficiency of the health care system and supporting the goal of patient-centered care.ObjectiveThe aim of this study was to investigate the adoption of the personal health record of the Ministry of National Guard Health Affairs (MNGHA Care).MethodsA cross-sectional survey was conducted in adults visiting outpatient clinics in hospitals at the Ministry of National Guard Health Affairs hospitals in Riyadh, Jeddah, Dammam, Madinah, and Al Ahsa, and primary health care clinics in Riyadh and Qassim. The main outcome measure was self-reported use of MNGHA Care.ResultsIn the sample of 546 adult patients, 383 (70.1%) reported being users of MNGHA Care. MNGHA Care users were more likely to be younger (P<.001), high school or university educated (P<.001), employed (P<.001), have a chronic condition (P=.046), use the internet to search for health-related information (P<.001), and use health apps on their mobile phones (P<.001).ConclusionsThe results of this study show that there is substantial interest for the use of MNGHA Care personal health record with 70% of participants self-reporting use. To confirm these findings, objective data from the portal usage logs are needed. Maximizing the potential of MNGHA Care supports patient engagement and is aligned with the national eHealth initiative to encourage the use of technology for high-quality, accessible patient-centered care. Future research should include health care provider perspectives, incorporate objective data, employ a mixed-methods approach, and use a theoretical framework.