An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems

Background: With the continuous advancement of digital technologies, electronic Personal Health Records (ePHR) offer end-users greater control and convenience over their health data. Although ePHR are perceived as innovative tools in medical services that provide patient-centered care and disease prevention, many system interfaces are inclined toward younger users, overlooking investigations pertinent to elderly users. Our objective is to uncover the preferences of the elderly for an ideal ePHR system interface.

Materials and methods: Relying on a literature review, we identified six interface attributes. Utilizing conjoint analysis, we constructed 16 representative design scenarios based on orthogonal design by combining different attribute levels. We invited 187 elderly participants to evaluate these scenarios. Data analysis was performed using SPSS 26.0. The results indicate that among the ePHR interface design attributes, the elderly prioritize color attributes, followed by the notification method. Designs with contrasting color schemes, skeuomorphic design approaches, and icon-centric menu navigation with segmented layouts, and voice notifications when a message is received, are the most preferred interface design choices.

Discussion: This research elucidates the ideal interface design elements for ePHR as perceived by the elderly, offering valuable references for age-friendly design considerations in ePHR systems.

Results: Implementing these insights can aid in promoting mobile health services among the elderly demographic, enhancing their user experience in health management interfaces. This, in turn, fosters the widespread adoption of mobile health service technologies, further advancing the development of a healthy aging society.

1 Introduction

The global population aged 60 and over accounts for approximately 10%, and it is projected to surpass one billion by 2030, making up about 12% of the total population (1, 2). By 2050, the population aged 60 and above in China is expected to reach 454 million, constituting 34% of the nation's total population. Rapid aging undoubtedly poses challenges to public services, with the pressure on healthcare resources escalating sharply (3). This is primarily because older individuals are more susceptible to illnesses compared to younger populations, thereby increasing their demand for healthcare resources (4), High-quality healthcare services have become essential, and the effective management of medical information is critical. Quality information has been shown to have a significant impact on healthcare outcomes (5–7). Various health departments worldwide employ electronic repositories for medical data, crafting suitable health information frameworks that securely store, exchange, and authorize user access (8, 9). Big data analytics have been widely implemented in healthcare, with developed countries leveraging Electronic Health Records (EHR) to enhance healthcare systems (10). This digital shift aims to improve the quality and efficiency of healthcare services (11). As digital substitutes for traditional paper records, EHR are gradually gaining prevalence in an increasingly digitized society. EHR offer direct management and clinical data collection capabilities that surpass their paper counterparts, often marred by errors, information gaps, and unauthorized access. These digital systems are accessible, comparable, communicable, and confidential. With the wide adoption of the Internet and healthcare information, the healthcare industry is undergoing a significant transformation. In this shift, individuals are increasingly taking an active role in their healthcare, evolving into the primary stakeholders in their health management. Expanding disease management services to non-patient demographics, valuable insights can be derived from combining data from healthy users with those with health issues (12, 13). This was particularly evident during the COVID-19 pandemic, where digital capabilities played a pivotal role in controlling disease progression.

Multifaceted issues in Human-Computer Interaction (HCI) design can lead to suboptimal utilization of ePHR. For instance, cluttered interface design and fragmented information make it challenging for users to quickly comprehend their personal information (14). When considering the usability of computer electronic systems, user engagement plays a key role in enhancing performance. This includes users’ cognition, guidance, input, and interaction with the system to achieve more efficient operations and outcomes (15, 16). However, a comprehensive assessment of the collaboration between “users and computers” is essential (17, 18). The rise of the HCI field emphasizes the connection between users and machines, primarily allowing participants in computer operations to exchange information. Existing system interfaces are generally designed to interact with a wide array of public users (19). But many systems have not been able to bring about a significant improvement in healthcare services due to issues such as poor usability or inadequate management (20, 21). Moreover, the role of specific populations among the target users is often overlooked when evaluating and redesigning processes and digital systems (22), In particular, to date research on the preferences of elderly populations for ideal ePHR interfaces is insufficient. Understanding these preferences is critical for the effective design and development of healthcare information systems targeted at seniors. Therefore, this study aims to elucidate the preferences of elderly individuals for ePHR interface design through conjoint analysis. We anticipate that the findings of our research will offer new insights into mobile health information, benefitting designers and developers in establishing settings for the interfaces of mobile health products intended for elderly users.

2 Literature review

An excellent design system can foster a positive sense of accomplishment in users and allow for greater focus (23), proposed guiding principles for user interface design, especially considering that the mobile health domain often involves the presentation of complex data information. Therefore, design developers should understand the diverse needs of different users. This study applies the principles from Schneiderman et al. to the mobile health medical field, with these elements aiding in functionality interpretation and emphasizing design elements that reduce understanding difficulty (23). When developing user interfaces, developers should deeply grasp the diverse needs of system users, ensuring that the interface design minimizes user operational errors. His summarized interface design guidelines include: maintaining interface consistency; providing shortcuts for regular users; giving real-time feedback on user operations; offering concise error handling; ensuring operations are reversible for user corrections; allowing users to always feel in control of operations; and alleviating the strain on users' short-term memory. A well-designed computer interface can provide users with positive feedback, thereby allowing them to focus more on their primary tasks (15). Our research suggests that the preferences of the elderly for ePHR are influenced by interface design elements that not only augment functionality but also bolster user confidence and enhance usability. For instance, Yang et al. employed conjoint analysis in their study of the design methods for smart refrigerator human-machine interfaces, analyzing user preferences for these interfaces (24) Moreover, research by Plegge et al. revealed public preferences for electronic services, identifying the key factors for the success of these services (25). In the healthcare sector, researchers have already used conjoint analysis to study patient preferences for medical services (26, 27). Li et al. utilized conjoint analysis to design personalized persuasive game elements for elderly users in health applications, which will be incorporated into the application design (28). However, there have been few studies comparing elderly preferences for interface design elements in ePHR systems. Therefore, this study aims to fill that gap.

Currently, numerous countries have adopted computer-based healthcare information management, leading to a growing reliance on information technology within the healthcare sector (29). However, one limitation of EHRs is their dependence solely on data from healthcare institutions or government reports (30). The future points towards a partial shift from institution-centric to individual-centric information management, where Personal Electronic Health Records (EHR) (31). Emerge as an extension of EHR with the goal of electronic health empowerment. This shift aims to enhance individual awareness of key health metrics in daily life (32) ePHR originates from EHR (32, 33), aiming to enhance individuals' understanding of their physiological metrics in daily life. ePHR (32) is managed by the individuals themselves. Pagliari et al. (34) summarized its seven primary functions as access to electronic clinical records from healthcare providers. Personal health records or diaries Self-management support. Facilitating communication between patients and providers. Providing links to information related to diseases, treatments, or self-care. Offering links to support resources. Gathering symptom data or health behavior data reported through electronic devices or objective monitoring. Overall, ePHR have the potential to improve the quality of care, strengthen the relationship between individuals and healthcare institutions, and reduce healthcare costs (35, 36) Proactive liberation of Electronic Medical Record (EMR) data will eventually lead to the individualized consolidation of fragmented healthcare data into personalized electronic portfolios spanning one's health ecosystem. Features like long-term health tracking in ePHR are particularly beneficial for managing chronic conditions in the elderly (7). Although ePHR systems are perceived as valuable tools, their usability can be challenging for many older adults (37). Older adults, generally conservative in adopting new technologies (38), have shown increasing acceptance and proficiency in using internet and digital products in recent years (39, 40). However, if the operational cost is high, hesitancy may arise in initial usage (41). Therefore, ensuring the usability of ePHR for older adults is a key issue in facilitating their adoption and effective use. In recent years, the need for technological breakthroughs has greatly impacted healthcare services in many developing countries. Individuals can store, manage, and access health-related information on digital platforms (42), including medical history, drug prescriptions, diagnostic results, lab reports, clinical notes, and vaccination records. Moreover, multiple studies have demonstrated the successful application of mobile health among elderly users. They confirm that ePHR can improve medication adherence among adults (43), and facilitate self-management of chronic conditions. This allows individuals to better understand and manage their health while also enabling healthcare professionals to provide improved care (44, 45) ePHR enables individuals to consolidate their health data in one place, facilitating more comprehensive medical decision-making by enabling data sharing with healthcare institutions, doctors, and other professionals. Within traditional healthcare systems, users may have to provide the same health information multiple times across different institutions; ePHR can reduce such redundancy. For elderly users, consolidated storage of personal health information, including medical history, medication records, and allergy information, aids in maintaining a comprehensive health record and reduces the risk of information loss and confusion. Sharing medical records with doctors, nurses, and other healthcare professionals facilitates better-coordinated care and more accurate diagnosis and treatment (46). In emergencies, medical personnel can access this information more quickly, enabling more accurate medical decisions, Synchronization with health indicators like blood pressure and blood sugar, along with daily activity levels, helps the elderly better manage their health (47). Online appointment scheduling, communication with doctors, and even remote diagnosis save time and energy, making ePHR an indispensable part of the modern healthcare system, continually driving the digitization of the medical industry.

Considering the pronounced interdisciplinary nature of interfaces, which also overlaps with other domains (48). Building upon the study by Kim et al. has been demonstrated that the joint analysis method is dedicated to evaluating user experience, understanding user needs, and prioritizing the development of experience-driven products (49). Our study identifies six attributes closely related to PHR user interfaces.

The first attribute, Platform Device Type, encompasses the broad use of Information Communication Technology (ICT) platforms that have profoundly transformed the healthcare sector (50). Smartphones are becoming mainstream communication tools in healthcare environments (51), and have been proven beneficial for tracking and evaluating individual health levels (52). The use of mobile devices such as smartphones and tablets is crucial, as these devices serve as primary mediums for accessing information and services required for various daily tasks (53). It is anticipated that an increasing number of elderly individuals will utilize mobile devices to meet some of their daily needs (54).

Secondly, color settings in the ePHR interfaces present a broad and complex topic that intersects nearly all aspects of human activity. References to color in art, philosophy, psychology, and science lack uniformity because they are shaped by their respective disciplines, philosophies, theories, and practices (55). In graphic design, color schemes are produced based on the corresponding positions of colors on the color wheel. These schemes can influence and emphasize objects; uniform tones have a calming effect, adjacent hues are harmonious, and complementary colors offer strong contrast (56).

The third attribute pertains to design style and the visual categorization of content within the interface, which involves a combination of object size, distance, and color (57). This directly influences users' comprehension and manipulation of the interface (58), and improper design can increase the likelihood of usage errors. Icons serve as crucial graphical elements in the interface with potent communicative potential, reflecting not only the design style but also affecting interaction quality and user experience (58). Companies like Google, Microsoft, and IBM currently employ minimalist flat designs in their operating systems, whereas Apple's Big Sur follows the trend of light skeuomorphism. Research indicates that simple designs can enhance pleasure and increase usability Such designs are highly recommended for the majority of medical decision-making systems (59). However, Cho et al, have shown that skeuomorphic designs tend to be favored by the elderly as they find them to be more comprehensible and user friendly (60).

Fourthly, for the most effective interaction between users and the system, interface layouts should provide effective visual guidance for the users. For instance, electronic personal health records designed for patients with chronic heart failure have demonstrated how to effectively distribute a range of elements, including 225 data elements, required text fields, narratives, and tracking functionalities (61). Research has also shown different layouts serving as digital calendar references, confirming the interrelations between information and tasks (62). Centrally aligned and grid-based layouts become more manageable when information is categorized into blocks.

The fifth attribute, essential for user engagement, revolves around menu navigation—an indispensable pathway for information retrieval, acting as the initial point of interaction with the system. Modern interfaces predominantly utilize icons or text within the navigation menu, processed diversely in users' cognitive realms. Previous studies have robustly advocated for the incorporation of icons within graphical user interfaces, attributing to their ability to demystify the interface's complexity and bolster information transmission efficiency. Graphic symbols stand out for their capacity to expedite and enhance the accuracy of information identification, in contrast to their textual counterparts (23). Contrarily, some scholars posit that interfaces amalgamating graphics and text manifest superior usability, optimizing task completion times and precision compared to interfaces relying solely on text or graphics (63).

Lastly, the mode of notification is another factor to consider. Designing appropriate notification mechanisms is an essential component of providing a good user experience and serves as one means of conveying information, events, or state changes to the user. Notifications can be employed in various scenarios, such as alerting users to critical information, and task reminders. They assist users in obtaining timely information, making decisions, and staying connected with the system. Popup notification boxes are prominent message containers, typically located at the top or center of the screen, used for displaying vital information, alerting the user, or requesting user actions. Audio and visual cues can aid users in comprehending the information. Users typically need to click a confirmation or close button to handle the notification or can receive messages through voice broadcasting.

3 Methods

3.1 Research design

Conjoint analysis is used to collect and analyze customer preferences and apply them to optimal product design (64). It was originally used to decompose overall evaluations and classify basic measurements of target objects. It allows for multi-faceted evaluations of virtual products, quantifying each attribute and its weight in the overall decision. Compared to other methods, conjoint analysis provides a more accurate estimate, and it can more precisely determine which individual surveys among multiple key attributes are more important (65, 66). It explores consumers' preferences and decision-making methods regarding the value of products or services. It can evaluate the relative importance of multiple elements in a product by aggregating the utility scores of each product attribute to better predict overall user preferences.

Conjoint analysis typically involves the following steps: The first step is to determine the key attributes of a product or service. Then, based on the determined product attributes and attribute levels, combinations are made using orthogonal design methods to generate a series of virtual products. Next is data collection and evaluation: invite respondents to evaluate these virtual products, using methods such as scoring and ranking, to understand their preferences for different product configurations. Finally, calculate attribute utility values: based on the evaluation by respondents, extract the utility values for each attribute and its levels, representing consumers' relative preferences for each attribute. Product preference prediction: Using the obtained utility values, predict consumer preferences among various product configurations, providing references for product design and marketing strategies (67).

Given this, due to the diversity of medical interface content and the complexity of interface interaction, compared to other methods, using CA to guide the relative importance assessment of ePHR interface design elements is necessary. However, most conjoint tests rely on fractional factorial designs, most commonly using orthogonal arrays, assuming that most interactions between independent variables only consider main effects (68). Since the combination of all factor levels might be too large for respondents to rank, a factorial design is performed.

3.2 Participants

We used purposeful sampling for the survey. The inclusion criteria for the sample were elderly people who can use electronic devices. Beforehand, we asked them if they were willing to participate in this research. The data was collected through an online survey, which was voluntary and uncompensated. The respondents signed an informed consent online. The researchers promised that the data would only be used for academic research. In total, 187 elderly people agreed to participate. The sample size meets the requirements of similar research (69).

3.3 Orthogonal design

Based on the literature review, attributes suitable for ePHR interfaces and their respective levels were identified, as shown in Table 1. Each attribute level was selected based on the effectiveness and applicability of the ePHR interface, incorporating six key elements in a 2 × 3 × 2 × 2 × 2 × 2 design, which could generate 96 possible combinations. However, it is challenging for test participants to choose among these 96 combinations, potentially leading to high variability in results. To address this issue, an orthogonal experimental design was executed using SPSS 26, optimizing 16 typical combinations, as shown in Table 2.

Table 1

Table 1. Interface attribute factors.

Table 2

Table 2. Orthogonal design combinations.

3.4 Questionnaire design

Upon structuring the orthogonal schemes, the cards are meticulously organized and assessed during the questionnaire design process, aiming to culminate in conclusive results through a refined conjoint analysis. The structured survey questionnaire is bifurcated into two predominant sections. The inaugural section collates essential demographic information from respondents, encapsulating aspects such as gender, age, and educational background.

Transitioning to the second segment, respondents are prompted to allocate rankings to diverse, numerically assorted combination schemes. An introductory overview of the questionnaire's contextual background is provided, accompanied by detailed elucidations of each constituent element. Respondents are tasked with ranking the schematic cards on a scale of 1 to 16, where a ranking of 1 signifies utmost preference, cascading down to 16, indicative of minimal preference. In this segment, the card schemes are vividly presented to respondents, epitomized in Figure 1. To encapsulate the user interface with utmost precision and clarity, high-fidelity mockups were meticulously crafted, utilizing the advanced capabilities of Sketch 83.1 software.

Figure 1

Figure 1. Example cards from the questionnaire.

3.5 Data collection

Data were collected between August 1st and August 25th, 2023, in China, and were not restricted to a single urban area. A total of 187 elderly individuals with experience in using smart devices participated in the survey. They evaluated their preference levels for the 16 optimized typical combinations. To ensure a broad range of survey participation, the sample included respondents from diverse educational backgrounds, genders, age groups, and varying frequencies of mobile health system usage.

4 Results

A total of 187 questionnaires were distributed and all were returned, resulting in a 100% effective response rate. Of the 187 respondents, 119 were male (63.64%) and 68 were female (36.36%). The majority of respondents were aged between 56 and 60, accounting for 69.52% of the survey population. Half of the respondents had received at least high school-level education, and a majority indicated that they had experience using mobile health systems, as shown in Table 3.

Table 3

Table 3. Demographic profile of respondents (N = 187).

The correlation of design attributes is elucidated in Table 4, where Pearson's R boasts a value of 0.921, accompanied by Kendall's Tau at 0.832. These values, hovering close to 1, unequivocally signify a potent relationship between the observed and estimated preferences (88). Emerging findings the elevated stature of certain attributes within the ePHR interface design landscape. Notably, the color scheme prominence, capturing a commanding 34.64% preference, illustrating its criticality amongst the elderly populace. This is subsequently trailed by the manner of message notifications, which garners a considerable 18.32% emphasis, Design style (11.50%) and layout formatting (9.18%) were considered to be of lower importance, as shown in Table 5. In Figure 2, the proportionate analysis of platform attributes explains the preference of elderly respondents for smaller-sized smartphone devices, i.e., the smaller and more portable the platform, the higher the proportion. Electronic health records featuring skeuomorphic design (r = 2.507), contrastive color schemes (r = 6.616), and grid-based chunk layout (r = 2) had the highest proportions. Preferences among the elderly for navigation menus centered around icons (r = 2.994) were greater than text, and they also favored receiving notification alerts via voice. The study reveals that older adults prefer mobile electronic health records with simpler layouts, dominated by icons, and featuring contrasting tones.

Table 4

Table 4. Correlation.

Table 5

Table 5. Preferences of healthcare providers on the ePHR interface.

Figure 2

Figure 2. Graph showing the specific levels of an attribute.

5 Discussion

The analysis unveils a pivotal insight, highlighting the color scheme as the paramount attribute affecting elderly users' interaction with the ePHR interface components. This discovery resonates coherently with existing research conducted by Hsieh, T.J (89). Which accentuates the instrumental role of colors in cultivating visual appeal, an aspect imperative for seizing and sustaining users' attention. Visual attributes like color choices are pivotal in enhancing the user experience, emphasizing the significance of visual processing in computer interaction. Such attributes are essential as they facilitate the capture of primary information from the external environment through vision. Numerous studies have corroborated that color is a principal visual feature affecting consumer cognition and behavior (90, 91).

Our findings suggest a proclivity among the elderly for smartphones as the primary device for ePHR access, attributed to their convenience and likely familiarity. Although tablets offer larger display sizes, they are often perceived as less portable and not integral for daily use. The key factors for this demographic appear to be portability and convenience, supporting the emerging trend toward lightweight device technologies (71). Undeniably, the choice of ePHR device platforms is a key factor in revealing user preferences for an ideal ePHR; users should be able to easily access digital health information across their choice of multiple device platforms.

Moreover, the study indicates that elderly users prefer color combinations with robust contrast. Considering visual impairments and age-related vision degradation, employing high-contrast color schemes enhances readability and interface discernibility, thereby improving the user experience. A homogenous color scheme can sometimes lead to recognition confusion, suggesting the need for some level of differentiation in interface colors for the elderly (92).

Thirdly, skeuomorphic design is favored over minimalism. Skeuomorphic design tends to imitate objects and textures from the real world, which may be easier for the elderly, who are less familiar with digital interfaces, to understand and use. For instance, an icon that looks like a real button or switch might make it more intuitive for them to comprehend how to operate it. This inclination is based on a widely accepted notion that skeuomorphic design in interfaces can accelerate recognition speed among users, a finding consistent with the research conducted by Cho, Minji et al. (60). This implies that ePHR designers should carefully consider incorporating visual symbols that closely resemble real-world objects when designing complex systems for elderly users. Such a practice facilitates understanding and reduces the likelihood of errors if the design is not user-friendly. Icons are significant graphical elements in interfaces with communication potential, reflecting not only the design style but also affecting interaction quality and user experience (58), ePHR designers should thus contemplate the use of visual symbols that closely resemble real-world objects to ease comprehension for the elderly, and if not designed appropriately, it could lead to an increase in user errors. Icons should be designed with clarity and should incorporate universally recognized symbols to minimize menu selection errors, thus avoiding potential complications in the information system. Engaging elderly users in participatory icon design is crucial to ensure clear communication and understanding of information and to implement consistency check procedures.

Fourthly, elderly users prefer interface layouts consisting of block-grid arrangements. This involves subdividing information into logically ordered sections. Researchers like Stone et al. have presented examples of interface layouts that might influence user usability (93) segregating substantial content into smaller visual blocks within the interface. Due to the increase in information quantity, centralized and grid layouts, where information is categorized into blocks, make usage and management easier. Such layouts also support the “pattern navigation” commonly displayed in the medical field (94), enabling quick browsing through multiple pieces of information to find necessary data for diagnosis or treatment plans. A well-structured interface minimizes cognitive load, allowing users to easily locate required content without feeling overwhelmed. Block-grid layouts are not merely an aesthetic choice; they are a user-centric option reflecting the tool's application in the actual workflow of healthcare delivery. This aligns with the importance of user interface awareness as mentioned by Shneiderman, benefiting any domain that necessitates the management of complex screen information. Such designs contribute to efficient and effective usage.

Fifthly, the elderly population in this study indicated a stronger preference for “icon-centric” over “text-centric” navigation menus. Icons more effectively capture visual interest, addressing potential difficulties elderly users may face when reading or understanding extensive text information. Employing an icon-centric navigation menu enables more intuitive information conveyance, making it easier for users to locate the desired options and features. Stone et al. and colleagues have identified various interface layout examples that could impact user usability (93), Segmenting a large amount of content into smaller visual blocks within the interface facilitates easier management, especially as the volume of information increases. This approach aligns with findings by Schneiderman and Pleasant (23), that graphical interfaces are preferable to text-based ones, as they reduce the time cost of reading by substituting appropriate icons for extended text.

Finally, it is noteworthy to emphasize the preferences of elderly users concerning feedback mechanisms in ePHR. Auditory feedback is particularly favored by this demographic. Given the age-related deterioration of vision, the limitations of screen-based visual cues may result in less effective feedback compared to the immediacy and directness of auditory cues. Additionally, audio feedback allows them to engage with the application or features without excessive dispersion of their attention. This is also applicable for those who may not be comfortable reading on-screen text or easily comprehending graphical interfaces. Therefore, the system design should incorporate auditory information feedback. This corroborates the findings that human-computer interaction design should incorporate multi-sensory interaction pathways to improve the user experience (40), As the interface is the critical medium for elderly users to interact with intelligent devices, considerations should be given to their physiological characteristics, cognitive habits, psychological inclinations, and usage preferences.

While this research boasts compelling findings and outcomes, there remain some limitations. Due to the subjective evaluation statistical method employed, the number of attributes in the conjoint analysis typically does not exceed six, implying that not all facets of interactive interface design are fully addressed. Additionally, the limited sample size primarily consists of elderly individuals residing in Chinese cities and obtained through online surveys. This sample does not include the elderly with severe illnesses or those facing difficulties with mobile device technology. Given the potential variations in preferences among elderly populations with different mobility capabilities and backgrounds, there might be biases in the design preferences identified. In future endeavors, we aim to delve deeper by segmenting the elderly based on their abilities, covering a broader spectrum including nursing homes. Moreover, usability experiments related to system development will be carried out.

6 Conclusion

Driven by the need to improve healthcare accessibility, it is essential to promote the development of a health-conscious aging society by designing digital system products tailored to the needs of the elderly. This is particularly pertinent within the context of emerging mobile healthcare paradigms. To achieve digital accessibility, it is crucial to take into account the unique characteristics and habits of elderly users during the design process.

Our research outcomes shed light on the focal points of elderly users' attention towards ePHR interface design attributes and their preferences for design elements within user interfaces. Through relative comparisons of combined elements, the conjoint analysis methodology is able to accurately capture users’ evaluations of interface attribute factors. This offers a more objective and precise perspective compared to individual assessments. Specifically, designs incorporating contrasting colors, grid-based layouts, skeuomorphic design, and icon-centric menu navigation were identified as the most practical components. This underscores the significance of visual cognition processes in enhancing ePHR usability. Engaging the elderly, a distinct demographic, in surveys not only offers them a pleasant experience but also yields constructive outcomes. These insights provide valuable reference points for the design and development process of ePHR systems for elderly users, aiming to match their needs and preferences, thereby elevating their overall satisfaction and accomplishing the goal of enhanced system usability. Furthermore, our approach of dissecting constitutive elements and combining scenarios for studying interactive interface design can be extended and further researched in other health product domains. Although the aging population presents a series of challenges to society and healthcare systems, there is an incentive to construct ePHR as a health information management tool or application. This promotes self-health management and information sharing among the elderly. By planning, innovating, and collaborating, stakeholders beyond healthcare professionals can better support the health and well-being of the elderly, enhance the dissemination of geriatric healthcare knowledge, and boost electronic health literacy. All these initiatives actively empower the progression of an aging society.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics statement

Ethical review and approval were waived for this study due to the fact that the respondents were only required to answer questions without any control over humans. There is no relevant experimental research on the human body itself.

Author contributions

SZ: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft. JS: Conceptualization, Project administration, Resources, Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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