Abstract
Background
To improve chronic disease outcomes, self-management is an effective strategy. An electronic personal health record (ePHR) is a promising tool with the potential to support chronic patient’s education, counseling, and self-management. Fitting ePHRs within the daily practices of chronic care providers and chronic patients requires user-centered design approaches. We aimed to understand users’ needs and requirements in chronic kidney disease (CKD) care to consider in the design of an ePHR to facilitate its implementation, adoption, and use.
Methods
A qualitative study was conducted in a major Iranian nephrology center including inpatient and outpatient settings in 2019. We conducted 28 semi-structured interviews with CKD patients, nurses, and adult nephrologists. To confirm or modify the requirements extracted from the interviews, a focus group was also held. Data were analyzed to extract especially those requirements that can facilitate implementation, adoption, and sustained use based on the PHR adoption model and the unified theory of acceptance and use of technology.
Results
Participants requested an ePHR that provides access to up to date patient information, facilitates patient-provider communication, and increases awareness about patient individualized conditions. Participants expected a system that is able to cater to low patient e-health literacy and high provider workload. They requested the ePHR to include purposeful documentation of medical history, diagnostic and therapeutic procedures, tailored educational content, and scheduled care reminders. Messaging function, tailored educational content to individual patients’ conditions, and controlled access to information were highly valued in order to facilitate its implementation, adoption, and use.
Conclusions
We focused on the ePHR’s content and functionalities in the face of facilitators and/or barriers envisioned for its adoption in nephrology care. Designers and implementers should value CKD patients’ needs and requirements for self-management such as providing personalized education and counseling (on the basis of their condition and risk factors), health literacy, and disease progression levels. The socio-technical aspects of care also need further attention to facilitate ePHR’s adoption.
Similar content being viewed by others
Explore related subjects
Find the latest articles, discoveries, and news in related topics.Background
Self-management is an effective strategy to improve chronic disease patient’s clinical outcomes and quality of life [1]. As information technologies facilitate access to health information, their use can increase patient’s health knowledge and enable patient-centered approaches to the delivery of care [2]. Electronic personal health records (ePHRs) are seen as one of the most promising tools to support patient’s self-management [3, 4]. They improve patient-provider communication and empower patients to self-manage their diseases, effectively [5]. However, implementing an ePHR is not an easy task even in the developed countries due to various barriers [6, 7]. For example, the experience of implementing an ePHR in the United Kingdom showed that poor attention to user expectations and weak system usability led to the system’s low adoption [8]. In order to be widely used, ePHRs should meet different users’ expectations regarding patients’ conditions and fit in the existing health and technology infrastructures [9]. Therefore, for their successful deployment, one needs to pay attention to the user-centric design approaches of ePHRs while having an eye on the available infrastructure [10].
According to the 2017 global burden of disease, the prevalence of chronic kidney disease (CKD) is continually rising [11]. CKD is a worldwide health concern that is defined as the gradual loss of kidney function and divided into five stages based on the estimated glomerular filtration rate (eGFR), with each stage requiring especial set of CKD care [12]. As the disease progresses, the stage of the disease increases, so that the stages 4 and 5 are called end-stage renal disease (ESRD) requiring expensive renal replacement therapies of dialysis or kidney transplantations [13]. The rising healthcare expenditure on complex CKD care requires innovative approaches to contain cost while maintaining the quality of care [14]. Self-management in CKD care has been beneficial; it includes interventions related to lifestyle modifications (e.g., targeting nutrition, weight management, and physical exercise) and medical-behavior modification (e.g., targeting medicine adherence, disease cognition, and complication control) [15, 16]. To support self-management, many researchers have aimed to develop ePHRs for CKD patients in order to enable them to play an active role in their own care by facilitating more productive communication and interaction with care providers [17,18,19]. To this end, ePHRs need to satisfy individualized needs and requirements in different CKD stages and fit in with the daily practice of care providers and the healthcare context and infrastructure [20,21,22]. Yet, most literature is from the developed countries and little experience has been shared from the developing countries. Therefore, as a first step to develop an ePHR for CKD in a developing country, we aimed to have a better understanding of users’ needs and requirements in their own care context. We were interested in getting this insight in the face of an ePHR's likely adoption facilitators and/or barriers and consider them in its design and implementation.
Methods
Study design
This was a qualitative study conducted in a major nephrology care center in an academic hospital of Urmia University of Medical Sciences (UUMS), in Iran. The study setting included nephrology inpatient wards, outpatient clinics, and dialysis centers (i.e. hemodialysis and peritoneal dialysis units). All units use a hospital information system (HIS). Recently, a CKD disease registry has been implemented in nephrology care. The study was approved by the Ethical and Research Committee of the UUMS.
Recruitment and participants
In this setting, we conducted a qualitative study and collected data through in-depth, face-to-face, semi-structured, and one-on-one interviews as well as a focus group performed between February to August 2019. Participants were selected through “purposive” sampling [23] to identify the requirements for an ePHR for CKD patients. We selected the patient participants according to the following inclusion criteria: (a) being a confirmed CKD patient (with different underlying diseases and comorbidities), (b) being in different phases of the disease progression (i.e., CKD stages 1–5, before or after starting the dialysis), and (c) being at least 18 years old or above. We excluded patients who were (a) under 18 years old, (b) very ill, or (c) uninterested to interview with us. In few cases, patients' care givers also participated in the interview session in patients' attendance. We invited all nurses who worked in the dialysis units and nephrology inpatient and outpatient settings for participation in our study. Also, all adult nephrologists who involved in the care of CKD patients in our study setting were invited for participation. Pediatrics nephrologists were excluded because our focus was on adult nephrology care.
In the first phase of this study, we interviewed CKD patients, nurses, and adult nephrologists. All nephrologists involved in nephrology care at the time of this study were invited to participate; all participated, except one. We recruited patients with consideration to their gender, age, social status, educational level, stages of the disease, and hospital settings. Some of the patients and most of nurses were proposed by our participating nephrologists as informant patients and nurses. We stopped recruiting interviewees when the saturation of data in each group of nurses and patient participants was reached.
Data collection
The interview questions were designed according to the knowledge and roles of the three participant groups. Additional file 1: Appendix 1 provides the details of questions in our study. Formal consent was sought from the participants. They either completed a written consent form or gave verbal consent to participate in the interviews. The interviews (lasting on average 25 min) were audio-recorded after assuring participants that their confidentiality would be respected by the researchers. The interviews were transcribed verbatim. To ensure the validity of data, "member checking" was performed with the clinicians to confirm or correct their statements.
Afterward, we held a focus group with clinicians to discuss, confirm, or modify the information extracted from the analysis of the interviews. Like interviewees, the participants were purposefully selected. Some of them had previously participated in our interviews, as well. The focus group lasted for 1 h 45 min. During the focus group, a moderator (the corresponding author) and a note keeper (the first author) managed and facilitated the discussions among participants based on our questions (Additional file 1: Appendix 1). This session helped to reach a consensus on the scope of the PHR and its functionalities (based on the requirements extracted from interviews) that would work in our context. Complemented by the written notes taken by the note keeper, the discussions were recorded and transcribed verbatim.
Data analysis and assessment
We used the “Personal Health Record Adoption Model” (PHRAM) to analyze the ePHR requirements and envisioned facilitators/barriers mentioned by CKD Patients for ePHR adoption [24]. This model integrates five factors that interact to affect the intent to adopt, and ultimately use, PHRs. These factors are personal (including demographics, e-health literacy, self-efficacy, knowledge, and skills), environmental (including facilitating conditions and incentive motivation), technology (including cost, perceived usefulness, perception of external control, relative advantage, and complexity), and chronic disease factors (including self-management, preferences for self-regulation, perceived complexity of condition and treatment, access to care, and multiplicity of settings, healthcare providers, and chronic illnesses) that affect the behavioral outcome (i.e., in our study intention to adopt a given ePHR). For the analysis of the requirements requested by our care providers and envisioned facilitators/barriers for an ePHR’s adoption in CKD care, the “Unified Theory of Acceptance and Use of Technology” (UTAUT) was applied [25]. The UTAUT comprises of four main factors of performance expectancy, social influence, effort expectancy, and facilitating conditions, which have prominent roles as direct determinants of user acceptance of a technology and usage behavior.
In order to address our study aims, the interview questions (Additional file 1: Appendix 1) and the following discussion on the interviewers' responses was guided to cover the factors in the two aforementioned frameworks as far as possible. The transcribed data were imported into the AtlasTi (ATLAS.ti 8, Berlin, Germany). The first author systematically coded the data to identify and categorize key themes. The corresponding author closely supervised this process and double-checked the extraction of themes based on the two aforementioned frameworks as well as the whole analysis. The inter-coder reliability was 0.84 between these two coders. Any disagreement was solved by discussion during multiple meetings. An audit log of decisions was kept along with the codes.
Results
Study participants
We undertook 28 interviews with 15 CKD patients, 10 nephrology nurses, and three adult nephrologists. Patients’ age ranged 21–79 years; six patient participants were at the early CKD stages, and almost equally recruited from inpatients, outpatients, hemodialysis, and peritoneal dialysis settings. Five nurses from the nephrology and the dialysis units and one senior nephrologist participated in our focus group meeting. Table 1 provides the details of our participants. The results are provided here based on the factors in the PHRAM and UTAUT models. Some exemplary quotes based on these factors, indicated with (Q#) within the text, are available in Table 2.Footnote 1
Factors that influence ePHR adoption by CKD patients
Personal factors
Our participants had positive attitudes towards the availability of an ePHR. They thought that it can increase their awareness of their disease and the care they needed (Q1). By removing temporal and geographical barriers, it can also facilitate access to care providers (Q2) and educational materials and health information (Q3), helping to alleviate patient stress (Q4) and expenses (Q5). Using such systems, patients expected to have access to a complete report of their condition anytime/anywhere (Q6).
Yet, many concerned that the advancing age (Q7), lack of interest (Q8), and low e-health literacy (Q9) would represent the main barriers to adopt the system. Similar barriers were also echoed during provider interviews. They mentioned that most of their patients have lower e-health literacy and therefore may not be able to understand or use these types of systems (Q10).
Environmental factors
Several patients reported their inability to use or access the technical equipment to use the ePHR (e.g., the Internet or smartphones) (Q9, Q11). They, however, believed that having supporters such as caregivers and their family members would assist them to bypass such barriers (Q11).
Technological factors
There was an agreement that the information in the ePHR should be displayed according to an individual patient's condition in a simple and easy to understand language and format (Q9). Thus, the use of complex medical terms and jargon should be avoided, because patients might misunderstand their disease condition or misinterpret information available within an ePHR (Q14). Participants believed that the availability of multimedia educational materials such as movies or even voice messages would facilitate ePHR’s acceptance and use, especially by patients with low e-health literacy levels (Q15). The next point was the importance of preserving patient privacy and information confidentiality and preventing unauthorized access to the ePHR (Q16). They recommended establishing mechanisms to strictly define the levels of access to protect privacy and information confidentiality (Q17).
Using such technology entails costs. Besides the cost of acquiring the technical equipment, patients were concerned that care providers might not support using the ePHR because it wasn’t clear how they would receive a fee for the service given through it (Q18). Therefore, some patients were willing to pay for this service rather than travel long distances and wait a long time to consult specialists (Q19).
Chronic disease factors
One of the main supporting functions for self-management, which all patients emphasized, was the need for education and training through an ePHR on the subjects inflicting chronic patients (Q22). Specialized, individualized, and purposeful information and educational materials (for different CKD stages and varying comorbidities) would increase patient awareness and reduce provider time and efforts spent on the education of subjects such as lifestyle, medication use, diet, and care in hemodialysis or peritoneal dialysis (Q23, Q24, and Q25). However, their care providers were cautious that simply making the information available within the system without any reasonable explanation might sometimes increase patient anxiety about their disease. They also requested a reminder system due to the chronicity of their disease and frequency of events and preventive measures, for example, to remind the time of medication use, upcoming follow-up visits, vaccinations, laboratory tests checkups, and notification of result availability (Q26). Table 3 provides examples of data categories requested by patients.
While patients see an ePHR as an opportunity for greater communication with their care providers (Q27), care providers highlighted that synchronous communication through such a system should be minimal. Therefore, they recommended that patients should be educated to use the system only for their chronic conditions without the expectation of a prompt response from care providers, especially for acute conditions and emergency situations (Q28).
Factors that influence ePHR adoption by CKD care providers
Performance expectancy
Our clinicians envisioned that easy access to patient latest medical information such as radiology and laboratory results (and their trends over time) and the ability to share them with other providers would save them time and prevent requesting extra tests (Q29 and Q31). They also valued accessing such data all the time. This would save them going back and forth to find necessary information across voluminous, but generally incomplete and illegible, paper-based records (Q30). To assess the reliability of data, they recommended displaying the source or an individual who entered different pieces of information. Clinicians believed that available education on the ePHR would reduce the amount of time they spend on patient education and training during regular visits, allowing them to spend more time on direct patient care (Q32).
Effort expectancy
A majority of clinicians envisioned that working with ePHR would be an easy task because of their prior experience with the HIS (Q34 and 36). They believed that the integration of the system to the HIS or the CKD disease registry would enable retrieving some basic patient information and test results, which would, in turn, reduce the amount of data entry time while increasing the accuracy of the information and facilitating ePHR adoption by different user groups. They also suggested considering a section for frequent questions and answers through the system to reduce the load of bidirectional communication (Q35).
Facilitating conditions
Our clinicians suggested considering two main user groups of patients and their family members, and care providers. They recommended full access to enter, view, and revise information for nephrologists and nephrology nurses but only permission to view information for other clinicians (e.g., internal medicine specialists, family physicians, residents, and interns in academic medical centers) (Q38 and Q39). Meanwhile, to protect patient privacy and information confidentiality, an authentication mechanism was overemphasized through predefined levels of access according to each user’s role in CKD care (Q40). Some of our care providers have concerned that the accuracy and reliability of the information provided by patients and/or other care providers through an ePHR should be given much attention, because, for instance, if patients enter incorrect information into an ePHR, it can lead to serious patient health risks (Q41).
Discussion
In this study, we identified the requirements for an ePHR for CKD patients from users’ perspectives, and its content and structure needed to help support those requirements. These features were analyzed in the face of ePHR’s likely facilitators and/or barriers to its implementation and adoption. Experience shows that if such knowledge is applied for ePHR design, it can most probably contribute to a smooth ePHR implementation and adoption [26]. Overall, our participants expressed positive attitudes towards ePHRs and envisaged that a given ePHR will increase access to credible and trustworthy health information and individualized condition- and risk-based education. As recommended by a recent review, such an integrated patient-centered self-management approach with health literacy and information technology intervention will empower patients to self-manage their disease more effectively and can address the difficulties that are contributing to unsuccessful treatment outcomes in CKD patients [27]. Our participants emphasized that such a technology should be designed to fit the e-health literacy level of patients and only display CKD specific information depending on a patient’s individual conditions. To put it in other words, it should tailor information in ways that protect patients from being overwhelmed with extra, unnecessary, and stress-producing information (e.g. displaying care for infectious complications of the hemodialysis access or the pros and cons of kidney transplantation to an early stage CKD patient).
Studies have reported that one of the many benefits of ePHRs is easier access to patients' past and present medical data and information breaking through the time and space barrier and the ability to exchange and share them with whoever is involved in patient care [28,29,30,31,32]. According to our participants, ePHR can be a powerful tool to resolve problems with paper-based medical records such as their incompleteness, illegibility, and inaccessibility. It can also bypass time and space barriers to access care providers, for example, in cases when they do not remember the details of care recommendations or are puzzled about their roles and responsibilities in care plans. Such expectations from an ePHR are in line with the results of previous studies in which researchers reported improved patient-provider communication or where patients are reminded about what they will do for upcoming check-ups or vaccinations [33, 34]. Besides these, our participants also thought that the ePHR would save them time on patient education and information access that they would be able to spend that saved time on direct patient care, as reported previously [35]. Moreover, information access can potentially reduce unnecessary patient referrals for diagnostic or therapeutic procedures and lead to more timely decision making [36]. However, the findings on time saved via ePHR should be interpreted cautiously and the expectations kept modest because its use might also be perceived as a time-consuming task. This is because some studies reported that using ePHRs by providers required their duplicate time and efforts to handle issues related to the ePHR use parallel to the other tasks of patient visits in the office time [35, 37]. To counter for such after effects and pave the path to success, developers should carefully consider the socio-technical and organizational aspects of healthcare e.g., the characteristics of users and the integration of ePHRs into their workflows as well as their integration into the available health information technology (HIT) infrastructure such as Electronic Medical Records (EMR) and Electronic Medical Records (EHR) [6, 38].
Management of CKD is based on stopping the renal damage or at least slowing its progression through monitoring kidney function, modifying risk factors (e.g., hypertension and diabetes), and preventing patient cardiovascular complications [39, 40]. Like other chronic conditions, effective CKD management requires patient partnership with care providers through self-management practices in order to set goals, solve problems, manage symptoms, decide on optimal and personalized action plan, and implement that plan effectively [15, 41, 42]. A meta-analysis has shown that self-management interventions in CKD care is beneficial for decreasing urine protein excretion, controlling blood pressure, and life style modifications (such as exercise capacity) even in the early stage CKD patients [15]. ePHRs are increasingly seen as transformational agents in developing and nurturing productive interactions between patients and their healthcare providers towards a patient-centered model of care [43, 44]. Our participants emphasized on the notion of patient-centered model of care and discussed that an ePHR would be embraced and valued, if it is developed based on CKD patients’ needs and requirements such as providing personalized education and counseling on the basis of a patient’s health condition and risk factors, health literacy and disease progression levels. It is noteworthy to mention that CKD patients are spanned across all ages, disease stages, and literacy levels. To put in other words, there are both younger CKD patients in ESRD and elderly patients in earlier stages. Therefore, a mindfully developed ePHR should be used as a teaching tool and learning strategy to accommodate the differing self-management needs and requirements of these entire patient groups based on their age, literacy levels, and disease stages [45,46,47]. To this end, developers should improve the performance of ePHRs for long-term use by engaging patients and offering added values for them to self-manage CKD disease trend. This would be better achieved by involving potential user groups in all phases of system development to ensure ePHRs match with the capacity of existing infrastructures and the literacy and cognitive abilities of their intended users.
Several reviews have so far studied the barriers to ePHR adoption [6, 48,49,50,51]. These studies have reported providers’ concerns about legal issues to respond to patient inquiries through ePHRs (e.g., who from the members of a care team seeing a patient’ inquiry would respond to an emergent situation) and also concerns over the privacy and security of information. Other barriers were also discussed in the literature such as patients’ individual factors (e.g., patient age, gender, health and computer literacy, and access to computers and the Internet), technical factors (e.g., lack of interoperability with other Health Information Technology (HIT) systems such as electronic health records, and lack of customized features for chronic conditions) [50,51,52]. Many of these issues were also raised by our participants as concerns that needed to be considered before any ePHR adoption. For example, they discussed the feasibility of automatically retrieving information stored in a CKD registry or HIS in order to reduce workload associated with data entry, as previously reported as a critical point especially in untethered ePHRs [35, 37, 53]. Therefore, easy, intuitive, and preferably automatic data entry for some data should be taken into account when designing such systems. Our participants also emphasized the need to preserve the privacy and confidentiality of data. Similar concerns have also been reported in other studies, for example, patients had been concerned about the confidentiality of a stigmatized or sensitive condition such as having depression or infection with Human Immunodeficiency Virus, or others were worried that their information could be accessed and might be misused by insurance companies to deny coverage [54,55,56]. This was also the case for caregivers’ access to some sensitive information [55, 57, 58]. Participants also highlighted the cost of services delivered through ePHR. Besides the necessity for tangible incentives in order to adopt PHR, it has been shown that clarity is needed for how PHR-related services would be paid for, who would pay (patients or payers), and under what circumstances [53, 59,60,61]. Such findings show that the successful application and use of ePHRs should address likely barriers before any implementation, or otherwise, these may threaten its deployment.
Parallel to barriers, we also considered likely facilitators, which might contribute to the ePHR’s smooth implementation; and compared our findings with the others [48, 49, 62,63,64]. A review found that patient encouragement by providers to use ePHR, their perception of control over health information, and also their perception of ePHR’s greater potential to improve patient-provider communication are facilitators that can help expedite ePHR adoption [49]. Similarly, our participants valued ePHR features such as facilitated communication with providers and easier access to data. Designing a system to satisfy these expectations would likely promote its adoption. Another review reported that besides the availability of secure messaging and eVisits with care providers, online appointment scheduling and reminders, and online access to patient laboratory and radiology results also promote patients to use ePHRs [64]. Participants also requested the availability of care reminders (e.g., about the time to take medications or to receive a vaccination shot) and online availability of laboratory results and their trends because they believed that these features would promote self-management. Our findings also accord with those of others in which tailored system interfaces to the educational and e-health literacy level of patients are recommended for ease of use [62]. Moreover, it also became evident in our study that caregivers should be considered as users and involved in the PHR application as surrogates to patients in order to overcome some of the predicted barriers such as health and computer literacy by elderly, as recommended in the literature [63].
In the deployment of HIT systems, their data elements and design structure can influence what advantages they would be able to deliver. In a CKD study in Canada, data elements were classified into four main categories of demographics, educational, behavioral and activity monitoring, and laboratory results [18]. Researchers in Thailand reported a knowledge-based ePHR system, especially designed for CKD patients, which had electronic forms for recording personal information, medications, laboratory tests, dietary patterns, and exercise activity [17]. In our study, besides the above data categories, participants requested the following categories to be included in the system as well: a comprehensive, purposefully documented medical history, patient’ scheduled reminders, individualized educational contents, and information on record access by caregivers and care providers. When compared with the results of two previous CKD studies, data items associated with the recording of behavioral and activity monitoring, diet, and exercise were not included in our final list, mainly because they were not approved for the early implementation phase. Participants believed that the system to start with should be much simpler with the most important items individualized based on each patient’s health conditions in order to be manageable. Extra functions can be added step-by-step later on when patients get acquainted with the system. It was also decided that the message exchange function between patients and care providers should be only for non-emergency situations; and in emergencies, patients should be trained to contact care centers to get the required care, promptly. This was because of concerns that messaging through the system may induce the perception that somebody is available all the time to respond even to an emergency condition. This finding and other chronic disease factors have rarely given full attention in the literature [65]. Our findings that the intended ePHR should include functions and structures such as messaging, reminders, disease-specific individualized educational information, and medical record summary, have also been similarly reported elsewhere [17,18,19]. Meanwhile, ePHR is an evolving technology and it should be borne in mind that access to personalized, disease-specific information through a robust architecture, controlling secure access to patient information, should be at the center stage of the design efforts [66, 67].
Strengths and limitations
In the present study, we used nephrology care as exemplary chronic disease care with all its corresponding characteristics such as CKD patient’s multiple comorbidities, underlying diseases, and disease stages with various information/educational needs along the way, multiple patient hospital admissions/patient referrals, and the involvement of different kinds of care providers in different types of wards/units/settings, to get a deeper insight into what requirements/need an ePHR should cover in order to provide value for both chronic disease patients and their care providers involved in this complex chronic disease care. Therefore, the approach used in this study is fairly applicable for the analysis of requirements in other chronic diseases. However, it has limitations that deserve to mention here. Although our results provide a thorough overview of CKD care involving different stakeholders with an ePHR, its specific care requirements may not be generalizable to other nephrology settings. For example, our nephrology center was the pioneer in the design and implementation of a CKD registry in the country based on its care context [68]. Several universities have just started negotiations for this registry’s implementation. Hence, it is possible that the emphasis to integrate an ePHR with the available HIT systems would not be immediately feasible in other nephrology settings. Next, this study was conducted in the adult nephrology care; therefore, its findings may not be applicable in the pediatric nephrology care in which a patient’ parents commonly deal with ePHRs.
Conclusions
This study is one of a few CKD-ePHR studies that specifically focused on the system requirements of chronic patients and their care providers with a bird’s eye view of CKD care. According to our participants, an ePHR was perceived as a useful tool in improving the self-management of CKD patients by providing better patient information and improved patient-provider communication. If in use, patient lower health and technology literacy and the high workload of care providers will represent some of the main barriers to ePHR adoption, which should be mindfully considered beforehand. Drawing upon the facilitators identified in this study, and of the others' as well, may help to overcome some of the barriers and increase users’ acceptance.
To conclude, according to the findings in the current study, we need to develop a patient-centered ePHR that is tailored to the needs of all its users in daily, short- and long-term use, especially in the context of chronic care. Meantime, chronic care has unique requirements that should be considered. Given the multiplicity of users having varying roles, and locating in different units, it would be helpful and more productive if all are involved in the early stages of system development and implementation in order to inform the design regarding each one’s requirements. We hope that the insights gained from this study can be helpful for designers, implementers, and researchers of such systems in supporting patients in self-management in an orchestrated effort with their care providers.
Contributions to the literature
-
Fitting ePHRs within the daily practices of care providers and patients, especially in chronic kidney disease care requires user-centric design.
-
To do so, understanding users’ needs and requirements regarding the content, and functions of an ePHR is a prerequisite.
-
Fully understanding users’ needs and requirements can help to design an ePHR system that better supports users in their socio-technical context of chronic kidney disease care and enable empowering chronic kidney patients in self-management.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on a reasonable request.
Notes
The number of Qs is according to the order of their appearance in Table 2.
Abbreviations
- ePHR:
-
Electronic personal health records
- CKD:
-
Chronic kidney disease
- EHR:
-
Electronic health records
- EMR:
-
Electronic medical records
- UK:
-
United Kingdom
- US:
-
United States
- HIS:
-
Hospital information system
- PHRAM:
-
Personal health record adoption model
- UTAUT:
-
Unified theory of acceptance and use of technology
- CT:
-
Computed tomography
References
Ausili D, Masotto M, Dall’Ora C, Salvini L, Di Mauro S. A literature review on self-care of chronic illness: definition, assessment and related outcomes. Prof Inferm. 2014;67(3):180–9.
Finney Rutten LJ, Agunwamba AA, Greene SM, Mazor KM, Ebbert JO, St Sauver JL, et al. Enabling patient-centered communication and care through health information technology. J Commun Healthc. 2014;7(4):255–61.
Paydar S, Emami H, Asadi F, Moghaddasi H, Hosseini A. Functions and outcomes of personal health records for patients with chronic diseases: a systematic review. Perspect Health Inf Manag. 2021;18(Spring):1l-l.
Archer N, Fevrier-Thomas U, Lokker C, McKibbon KA, Straus SE. Personal health records: a scoping review. J Am Med Inform Assoc JAMIA. 2011;18(4):515–22.
Lancaster K, Abuzour A, Khaira M, Mathers A, Chan A, Bui V, et al. The use and effects of electronic health tools for patient self-monitoring and reporting of outcomes following medication use: systematic review. J Med Internet Res. 2018;20(12):e294.
Niazkhani Z, Toni E, Cheshmekaboodi M, Georgiou A, Pirnejad H. Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review. BMC Med Inform Decis Mak. 2020;20(1):153.
Fraccaro P, Vigo M, Balatsoukas P, Buchan IE, Peek N, van der Veer SN. Patient portal adoption rates: a systematic literature review and meta-analysis. Stud Health Technol Inform. 2017;245:79–83.
Greenhalgh T, Hinder S, Stramer K, Bratan T, Russell J. Adoption, non-adoption, and abandonment of a personal electronic health record: case study of HealthSpace. BMJ. 2010;341:c5814.
Steele R, Min K, Lo A. Personal health record architectures: technology infrastructure implications and dependencies. J Am Soc Inform Sci Technol. 2012;63(6):1079–91.
Morales Rodriguez M, Casper G, Brennan PF. Patient-centered design. The potential of user-centered design in personal health records. J AHIMA. 2007;78(4):44–6 (quiz 9-50).
Collaboration GBDCKD. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395(10225):709–33.
Levey AS, de Jong PE, Coresh J, El Nahas M, Astor BC, Matsushita K, et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int. 2011;80(1):17–28.
Floege J, Feehally J. Comprehensive clinical nephrology. Philadelphia: Saunders/Elsevier; 2010.
Vanholder R, Annemans L, Brown E, Gansevoort R, Gout-Zwart JJ, Lameire N, et al. Reducing the costs of chronic kidney disease while delivering quality health care: a call to action. Nat Rev Nephrol. 2017;13(7):393–409.
Peng S, He J, Huang J, Lun L, Zeng J, Zeng S, et al. Self-management interventions for chronic kidney disease: a systematic review and meta-analysis. BMC Nephrol. 2019;20(1):142.
Donald M, Kahlon BK, Beanlands H, Straus S, Ronksley P, Herrington G, et al. Self-management interventions for adults with chronic kidney disease: a scoping review. BMJ Open. 2018;8(3):e019814.
Lamsaard J, Pongthananikorn S, Theeraroungchaisri A. Development of a chronic kidney disease knowledge website with electronic personal health records for patients. Thai J Pharm Sci (TJPS). 2016;40:159–62.
Ong SW, Jassal SV, Porter E, Logan AG, Miller JA. Using an electronic self-management tool to support patients with chronic kidney disease (CKD): a CKD clinic self-care model. Semin Dial. 2013;26(2):195–202.
Lin HW, Wang YJ, Jing LF, Chang P. Mockup design of personal health diary app for patients with chronic kidney disease. Studies in health technology and informatics. 2014;201:124–32.
Baudendistel I, Winkler E, Kamradt M, Längst G, Eckrich F, Heinze O, et al. Personal electronic health records: understanding user requirements and needs in chronic cancer care. J Med Internet Res. 2015;17(5):e121-e.
Sieverink F, Braakman-Jansen L, Roelofsen Y, Hendriks S, Sanderman R, Bilo H, et al. The diffusion of a personal health record for patients with type 2 diabetes mellitus in primary care. Int J Adv Life Sci. 2014;16:177–83.
Sieverink F, Kelders S, Braakman-Jansen A, van Gemert-Pijnen J. Evaluating the implementation of a personal health record for chronic primary and secondary care: a mixed methods approach. BMC Med Inform Decis Mak. 2019;19(1):241.
Marshall MN. Sampling for qualitative research. Fam Pract. 1996;13(6):522–6.
Logue MD, Effken JA. Modeling factors that influence personal health records adoption. Comput Inform Nurs CIN. 2012;30(7):354–62.
Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78.
Marchak JG, Cherven B, Williamson Lewis R, Edwards P, Meacham LR, Palgon M, et al. User-centered design and enhancement of an electronic personal health record to support survivors of pediatric cancers. Support Care Cancer. 2020;28(8):3905–14.
Lin CC, Hwang SJ. Patient-centered self-management in patients with chronic kidney disease: challenges and implications. Int J Environ Res Public Health. 2020;17(24):9443.
Tang PC, Ash JS, Bates DW, Overhage JM, Sands DZ. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. J Am Med Inform Assoc JAMIA. 2006;13(2):121–6.
Quinlivan JA, Lyons S, Petersen RW. Attitudes of pregnant women towards personally controlled electronic, hospital-held, and patient-held medical record systems: a survey study. Telemed J e-health. 2014;20(9):810–5.
Straßner C, Noest S, Preussler S, Jahn R, Ziegler S, Wahedi K, et al. The impact of patient-held health records on continuity of care among asylum seekers in reception centres: a cluster-randomised stepped wedge trial in Germany. BMJ Glob Health. 2019;4(4):e001610.
Lester M, Boateng S, Studeny J, Coustasse A. Personal health records: beneficial or burdensome for patients and healthcare providers? Perspect Health Inf Manag. 2016;13:1h.
Vance B, Tomblin B, Studeny. J, Coustasse A. Benefits and barriers for adoption of personal health records. In: The 51st annual midwest business administration association international conference; March 2015; Chicago, IL. 2015.
Ueckert F, Goerz M, Ataian M, Tessmann S, Prokosch HU. Empowerment of patients and communication with health care professionals through an electronic health record. Int J Med Inform. 2003;70(2–3):99–108.
Iacona SL, Militello C, Serbanati LD, Mastratisi MA, Ricci FL, Gilardi MC, editors. Personal health system: A tool to support the patient empowerment. In: 2015 E-Health and bioengineering conference (EHB); 2015 19–21 Nov 2015.
Urowitz S, Wiljer D, Dupak K, Kuehner Z, Leonard K, Lovrics E, et al. Improving diabetes management with a patient portal: a qualitative study of diabetes self-management portal. J Med Internet Res. 2012;14(6):e158-1.
Price M, Bellwood P, Kitson N, Davies I, Weber J, Lau F. Conditions potentially sensitive to a personal health record (PHR) intervention, a systematic review. BMC Med Inform Decis Mak. 2015;15:32.
van den Heuvel S, Meije D, Regeer EJ, Sinnema H, Riemersma RF, Kupka RW. The user experiences and clinical outcomes of an online personal health record to support self-management of bipolar disorder: a pretest–posttest pilot study. J Affect Disord. 2018;238:261–8.
Heart T, Ben-Assuli O, Shabtai I. A review of PHR, EMR and EHR integration: a more personalized healthcare and public health policy. Health Policy Technol. 2017;6(1):20–5.
KDIGO 2021. Clinical practice guideline for the management of blood pressure in chronic kidney disease. Kidney Int. 2021;99(3S):S1–87.
Jankowski J, Floege J, Fliser D, Böhm M, Marx N. Cardiovascular disease in chronic kidney disease. Circulation. 2021;143(11):1157–72.
Dineen-Griffin S, Garcia-Cardenas V, Williams K, Benrimoj SI. Helping patients help themselves: a systematic review of self-management support strategies in primary health care practice. PLoS ONE. 2019;14(8):e0220116.
Udlis KA. Self-management in chronic illness: concept and dimensional analysis. J Nurs Healthc Chronic Illn. 2011;3(2):130–9.
Dohan M, Tan J. Enhancing patient physician communication with electronic symptom reporting (ESR): a multilevel model. Commun Assoc Inf Syst. 2014;34:407–18.
Schleyer T, King Z, Miled ZB. A novel conceptual architecture for person-centered health records. AMIA Annu Symp Proc. 2016;2016:1090–9.
Wake DJ, He J, Czesak AM, Mughal F, Cunningham SG. MyDiabetesMyWay: an evolving national data driven diabetes self-management platform. J Diabetes Sci Technol. 2016;10(5):1050–8.
Nimmolrat A, Khuwuthyakorn P, Wientong P, Thinnukool O. Pharmaceutical mobile application for visually-impaired people in Thailand: development and implementation. BMC Med Inform Decis Mak. 2021;21(1):217.
Sutham K, Khuwuthyakorn P, Thinnukool O. Thailand medical mobile application for patients triage base on criteria based dispatch protocol. BMC Med Inform Decis Mak. 2020;20(1):66.
Wildenbos GA, Peute L, Jaspers M. Facilitators and barriers of electronic health record patient portal adoption by older adults: a literature study. Stud Health Technol Inform. 2017;235:308–12.
Powell KR. Patient-perceived facilitators of and barriers to electronic portal use: a systematic review. Comput Inform Nurs CIN. 2017;35(11):565–73.
Thompson MJ, Reilly JD, Valdez RS. Work system barriers to patient, provider, and caregiver use of personal health records: a systematic review. Appl Ergon. 2016;54:218–42.
Showell C. Barriers to the use of personal health records by patients: a structured review. PeerJ. 2017;5:e3268.
Logue MD, Effken JA. An exploratory study of the personal health records adoption model in the older adult with chronic illness. Inform Prim Care. 2012;20(3):151–69.
Wagner PJ, Howard SM, Bentley DR, Seol Y-H, Sodomka P. Incorporating patient perspectives into the personal health record: implications for care and caring. Perspect Health Inf Manag. 2010;7(Fall):1e-e.
Shen N, Sequeira L, Silver MP, Carter-Langford A, Strauss J, Wiljer D. Patient privacy perspectives on health information exchange in a mental health context: qualitative study. JMIR Ment Health. 2019;6(11):e13306.
Latulipe C, Quandt SA, Melius KA, Bertoni A, Miller DP Jr, Smith D, et al. Insights into older adult patient concerns around the caregiver proxy portal use: qualitative interview study. J Med Internet Res. 2018;20(11):e10524.
Sharp LK, Carvalho P, Southward M, Schmidt ML, Jabine LN, Stolley MR, et al. Electronic personal health records for childhood cancer survivors: an exploratory study. J Adolesc Young Adult Oncol. 2014;3(3):117–22.
Latulipe C, Gatto A, Nguyen HT, Miller DP, Quandt SA, Bertoni AG, et al. Design considerations for patient portal adoption by low-income, older adults. Proc SIGCHI Conf Hum Factors Comput Syst CHI Conf. 2015;2015:3859–68.
Ryan BL, Brown JB, Terry A, Cejic S, Stewart M, Thind A. Implementing and Using a Patient Portal: A qualitative exploration of patient and provider perspectives on engaging patients. Journal of innovation in health informatics. 2016;23(2):848.
Luque AE, van Keken A, Winters P, Keefer MC, Sanders M, Fiscella K. Barriers and facilitators of online patient portals to personal health records among persons living with HIV: formative research. JMIR Res Protoc. 2013;2(1):e8.
Day K, Gu Y. Influencing factors for adopting personal health record (PHR). Stud Health technol Inform. 2012;178:39–44.
Price-Haywood EG, Harden-Barrios J, Ulep R, Luo Q. eHealth literacy: patient engagement in identifying strategies to encourage use of patient portals among older adults. Popul Health Manag. 2017;20(6):486–94.
Jabour A, Jones JF, editors. Facilitators and barriers to patients’ engagements with personal health records: systematic review. In: International conference on universal access in human–computer interaction; 2013: Springer.
Tieu L, Sarkar U, Schillinger D, Ralston JD, Ratanawongsa N, Pasick R, et al. Barriers and facilitators to online portal use among patients and caregivers in a safety net health care system: a qualitative study. J Med Internet Res. 2015;17(12):e275.
Hargreaves JS. Will electronic personal health records benefit providers and patients in rural America? Telemed J e-health. 2010;16(2):167–76.
Sieck CJ, Hefner JL, Schnierle J, Florian H, Agarwal A, Rundell K, et al. The rules of engagement: perspectives on secure messaging from experienced ambulatory patient portal users. JMIR Med Inform. 2017;5(3):e13.
Liu C-H, Lin F-Q, Chen C-S, Chen T-S. Design of secure access control scheme for personal health record-based cloud healthcare service. Secur Commun Netw. 2015;8(7):1332–46.
Luo G, Tang C, Thomas SB. Intelligent personal health record: experience and open issues. J Med Syst. 2012;36(4):2111–28.
Niazkhani Z, Cheshmekaboodi M, Pirnejad H, Makhdoomi K, Nikibakhsh AA, Abkhiz S, et al. Enabling informed policymaking for chronic kidney disease with a registry: initiatory steps in Iran and the path forward. Health Policy Technol. 2018;7(1):73–80.
Acknowledgements
The authors gratefully acknowledge the time and efforts of all participants in our study. This study resulted from a Master of Science thesis in the Medical Informatics domain at UUMS (registered number 2952).
Accordance to guidelines
We confirm that our study was reported in accordance with the "Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups" guidelines and regulations.
Funding
This study was supported by a student grant at UUMS (registered number 2952).
Author information
Authors and Affiliations
Contributions
ZN, HP, and ET designed the study. ET collected data. ET and ZN analyzed data. ET, HP, KhM, AM, and ZN contributed in the analysis and interpretation of data. ET and ZN drafted the article and revised it according to the other authors’ comments. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
This study was approved by the research ethics committee of UUMS (ethics code number: IR.UMSU.REC.1397.375) before the start of the study. Participation in the study was voluntary. Data were reported anonymously. Participants gave written informed consent for participation in the study. All care provider participants gave verbal informed consent.
Consent for publication
This study does not include any confidential information. Then consent for publication is not applicable.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Additional file 1
: Appendix 1. Interview and focus group questions.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Toni, E., Pirnejad, H., Makhdoomi, K. et al. Patient empowerment through a user-centered design of an electronic personal health record: a qualitative study of user requirements in chronic kidney disease. BMC Med Inform Decis Mak 21, 329 (2021). https://doi.org/10.1186/s12911-021-01689-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12911-021-01689-2