Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Content and system development of a digital patient-provider communication tool to support shared decision making in chronic health care: InvolveMe

BMC Medical Informatics and Decision Making volume 20, Article number: 46 (2020) Cite this article

Abstract

Background

Chronic conditions present major health problems, affecting an increasing number of individuals who experience a variety of symptoms that impact their health related quality of life. Digital tools can be of support in chronic conditions, potentially improving patient-provider communication, promoting shared decision making for treatment and care, and possibly even improving patient outcomes. This study aimed to develop a digital tool for patient-provider communication in chronic health care settings and describes the data collection and subsequent content and software development of the InvolveMe tool. InvolveMe will provide patients with the opportunity to report symptoms and preferences to their health care providers (HCP), and to use secure messaging to interact with the HCPs.

Method

The study employed a combination of interviews with patients with chronic conditions and focus groups with HCPs, examining experiences with chronic conditions and the potential use of a digital tool for support. Participants were recruited from two outpatient clinics at a university hospital. Data collected from interviews and focus groups were analysed using thematic analysis. Content and software development was informed by the data collection and by tool development workshops.

Results

Analyses from interviews with patients (n = 14) and focus groups with HCPs (n = 11) generated three main themes: 1) Making symptoms and challenges visible, 2) Mastering a new life, and 3) Digital opportunities for follow-up. Each main theme generated separate subthemes. Theme 1 and 2 gave input for content development of the symptom and needs assessment part of the tool, while theme 3 provided ideas for the software development of the InvolveMe tool. Tool development workshops with patients (n = 6) and HCPs (n = 6) supplemented the development.

Conclusions

A digital tool such as InvolveMe has the potential to support shared decision making for patients with chronic health conditions. Through integration with an existing patient portal such a tool can provide opportunities for meaningful interactions and communication between patients and HCP’s, particularly with regards to symptoms, needs and preferences for care.

Peer Review reports

Background

A growing number of patients are living with chronic health conditions that affect physical, psychological, social and role functioning, as well as general well-being [1,2,3,4]. Patients experience difficulties in recognition of symptoms [5] and that their symptoms often are unknown to health care providers (HCPs) [6, 7]. Comparison between symptoms reported by patients and HCPs has shown that patients detect symptoms sooner [8, 9], and that HCPs often underestimate symptom intensities [8,9,10,11]. Experiences of poor communication between patient and HCPs are also common [5, 12]. In addition, patients’ comprehension of health information [12], incorrect beliefs and assumptions, are factors that can interfere with symptom management and seeking help [5]. These issues and challenges call for an improvement of chronic health care.

Routine collection of patient reported outcome measures can enhance the quality of visits and has the potential for improved symptom control and patient satisfaction [13]. A better understanding of health related quality of life (HRQoL) aspects could also enable HCPs to deliver more patient-centered care and thereby have a stronger impact on the overall health and symptom burden experienced by patients [14].

The treatment goal for patients in chronic health care settings is related to adequate symptom control and being able to live with the condition in acceptable ways [15]. Patients have an important role in controlling and self-administering treatment, monitoring symptoms and choosing lifestyle [15], which underlines the importance of patients being involved in their own care. Shared Decision Making (SDM) is considered particularly useful in the management of chronic health conditions, as SDM focuses on engaging patients in their own health care, recognizing that behavioral, psychosocial and lifestyle aspects can affect health beyond biomedical interventions [16]. SDM can be explained as a process where patients and HCPs work together to understand and address the patient’s situation [17]. In a framework for SDM in chronic health care, there is an emphasis on the patient-provider partnership as well as focus on information exchange, choice deliberation and decision making [15].

Establishing trust and mutual respect is crucial for a patient-provider relationship, and a patient-provider relationship includes emotional as well as cognitive care [18], which again may promote problem-solving, communication and support [15]. Patients sharing personal information about symptoms and needs, including values, preferences and expectations, are essential for the HCP to gain an understanding of the patients’ current situation [15].

SDM-tools have been shown to improve patient knowledge, help patients to become more aware of what matters most to them, and help patients to feel more involved in the decision making process [19]. Despite the fact that symptom management is an important and integral part of chronic health care, only few existing SDM-tools include symptom management [19, 20]. Furthermore, a recent systematic review examining SDM tools in chronic health conditions revealed that the included tools were mostly designed to “transfer information” about options and the harms and benefits of these [20]. Suggestions have been made, stating that SDM needs to focus on creating patient-provider interactions promoting communication and care, not just on offering information and choice [17, 21]. This supports the exploration of new ways to promote patient involvement in chronic health care settings, emphasizing patient-provider communication related to symptoms and needs.

Digital systems may carry the potential to aid in SDM in chronic health settings, to address the individuality and variability in symptoms over time among patients, and to improve patient outcomes [14, 22, 23]. Existing research has shown how digital systems can help patients to communicate symptoms [24, 25], to reduce symptom distress and improve overall symptom management [14, 25, 26], as well as to improve HRQoL [14]. Such systems can also help clinicians to provide individually tailored support and increase patient involvement [14, 25,26,27,28]. One example of such a digital system is the Choice-application, originally developed to support cancer patients with symptom reporting in preparation for consultation [24, 26, 29, 30], subsequently aiding HCPs in individualizing patient care. Other application (app)-based systems designed for self-management in long-term conditions have also been found to improve symptom management, but few existing systems provide features for data sharing ahead of hospital visits [31]. Benefits to patient-provider communication from using secure messaging have also been reported, particularly in terms of assisting patients in self-management of illness and in improving health outcomes [23, 25, 28, 32]. Findings on digital communication systems so far are promising, and such systems can facilitate new ways to promote patient involvement in symptom management of chronic health conditions.

The current study aimed to map patients’ (renal transplant recipients (RTX) or patients with a non-functioning pituitary adenoma (NFPA)) symptoms and needs in preparation for the development of a new digital patient-provider communication tool called InvolveMe, and then to design and develop the new tool, tailored to suit each patient’s situation and preferences with regards to symptom management in out-patient chronic health care settings. The goal was to develop and design the InvolveMe tool to provide patients with the opportunity to: a) self-report symptoms and preferences for care prior to visits, and b) use secure messaging for patient-provider communication between visits.

Methods

Design

The current study is a qualitative study with a participatory design approach, where patients with chronic health conditions, HCPs, researchers and system developers collaborated closely [33]. Participatory design acknowledges the importance of including all stakeholders in the design process and promoting a common understanding of all perspectives during the process [34]. The data collection to map patients’ symptoms and needs was guided by existing reseach on symptom management in chronic conditions and advanced through patient interviews, focus groups with HCPs, and finally tool development workshops with patients and HCPs. The development process was informed by the data collection and guided by existing research on digital patient-provider communication and SDM. The final InvolveMe tool development was based on the Choice-application [24, 26, 29, 30] and integration with an existing patient portal, MyRec [35]. See Fig. 1 for an overview of the development process.

Fig. 1
figure 1

Overview of the development process

Full size image

Settings and participants

The participants in the current study were RTX or patients with NFPA, and the HCPs were recruited from either a nephrology- or an endocrine outpatient clinic at a large Tertiary Referral Center at a university hospital in Norway. Patients receiving follow-up at the clinics were invited to participate in the study. They had to be ≥18 years old and able to read and speak Norwegian. Both patient groups frequently experience a long period of slow deterioration of their health status before undergoing surgery, and both groups do experience a variety of symptoms in the aftermath [36,37,38,39,40], which negatively impact HRQoL [41, 42]. Renal replacement therapy through RTX is generally accepted as the preferred treatment for end-stage renal disease [36]. RTX symptoms include, but is not limited to, swelling, itching, thirst and changes in bowel and urinary habits [36]. Patients may also experience symptoms’ from medication side-effects and other co-morbid conditions [40]. NFPAs are benign pituitary tumors, and treatment is primarily surgery [37]. Patients face many challenges, included visual limitations, fear of recurrence, persisting distressing thoughts, loneliness and frustration [38, 39]. Both patient groups experience individuality and variability in symptoms, including pain, fatigue, sleeping problems, anxiety and depression [36, 38, 39]. Patients in both groups need and receive long-term follow up in outpatient care after surgery. HCPs in the current study were registered nurses, health support personnel, and physicians responsible for treatment and care for the respective patient groups.

Stakeholder involvement

To strengthen the patient’s voice in the research process, the current study used the Guidance for Reporting of Patient and Public Involvement in Research (GRIPP2) prospectively to plan patient involvement [43]. Two patient representatives acted as advisors in the design and development process and contributed with refinement of written research material, interview guides and input for tool content development. The patient representatives were also members of the two Project Steering Committees established to promote involvement of all stakeholders. In addition, the head (physician) of each participating clinic, a registered nurse, a health support person and the first (BS) and senior (EB) authors participated in the Steering Committees. The Steering Committee’s role included decision-making regarding; planning and group facilitation approaches, recruitment and data collection strategies.

Recruitment

Eligible patients were identified and informed about the study by registered nurses at the clinics. After consenting to be informed about the study, the potential participants were contacted by phone by a member of the research team who described the study and study participation in detail. Potential participants received oral as well as written information. HCPs at the participating clinics were also provided with information about the study. Those willing to participate were included in the study and informed consent was obtained from all participants.

Data collection

Interviews with patients and focus groups with HCPs were conducted in order to map important symptoms and needs experienced by the patients groups. This informed the development of a digital patient-provider communication tool with opportunities for patients to self-report symptoms, needs and preferences for care prior to hospital visits, and secure messaging between hospital visits to support patients in the two separate patient groups (RTX and NFPA).

Interviews with patients (n = 14)

Participants completed a baseline demographic questionnaire related to age, sex, diagnosis, time since diagnosis and education. The goal was to collect information about the patients’ experience, understanding and perceptions of living with a chronic condition in order to map important symptoms and needs, as well as to gather information about patients’ expectations regarding digital communication. Interviews were directed by an interview guide (see Supplementary Material) focusing on these topics and conducted by the first author (BS), either face-to-face (n = 8) or by phone (n = 6). The interviews lasted between 20 and 75 min, were recorded with a digital voice recorder and transcribed verbatim. Participants received a gift card equivalent of USD 30 for their participation.

Focus groups with health care providers (n = 11)

Participants completed a baseline demographic questionnaire related to age, sex and years of work experience within the specialist health care setting. HCPs were invited to participate in focus groups to explore attitudes and experiences [44]. Two focus groups were conducted face-to-face by the first (BS) and senior (EB) authors. The HCPs from the nephrology- and the endocrine clinic participated in separate groups in order to develop patient group specific content. The interview guide consisted of open-ended themes in order to encourage discussion (see Supplementary Material). The themes focused on HCPs’ experiences with the types of questions patients often ask and appear to seek counseling for, as well as issues related to health technology. The focus group sessions lasted approximately 50 min, were recorded with a digital voice recorder and transcribed verbatim.

Analysis

A thematic analysis as described by Braun and Clarke [45, 46] was conducted in order to identify, analyze and report patterns and themes from interviews (i.e., patients) and focus groups (i.e., HCPs). Themes generated from interviews and focus groups were compared to identify concordant and discordant perspectives. The analysis process was led by the first author (BS) in collaboration with the second and last authors (CV and EB). The first step in the analysis entailed becoming familiar with the transcripts. Brief notes were made of early impressions. In step two, data were organized into initial coding using the analytic software NVivo 11. All data considered relevant were coded. The codes were developed and modified through the continuous coding process. In step three and four, respectively, the main themes were generated and refined, and subthemes were identified for all main themes. In the fifth step, the wording of each theme and the overall story of the analysis were refined. Finally, in the sixth step, compelling quotes were selected and a final analysis based on the research questions conducted. The actual analysis process was more iterative than described, moving back and forth more than proceeding successively.

Content and software development

The process of development was informed by the preceding data collection. The content and software development processes occurred in parallel, mutually influencing each other.

Content development

Content development for the self-reporting of symptoms, needs and preferences part of the InvolveMe tool was informed by input from the data collection process. The self-reporting of symptoms, needs and preferences is collectively referred to as assessments. The data collection informed the development of separate assessments to suit each patient group (RTX and NFPA). Following data collection and analysis, four separate tool development workshops were conducted with patients and HCPs.

Workshops with patients (n = 6) and health care providers(n = 6)

Preliminary findings from interviews and focus groups were presented by the research team in tool development workshops with patients and HCPs in order to involve stakeholders in data evaluation and guide tool content development. To avoid patient-provider relationships influencing the discussions and to fit the content to each diagnostic group, two workshops with three patients each and two workshops with three HCPs each, were conducted. Workshop participants were invited to share their reflections through a card sorting exercise, a method that provides insight into how participants may expect organization of content to be [47]. Each card provided insight from interviews, focus groups and/or existing literature/guidelines [36, 38,39,40,41,42]. Insights from interviews included for example “fatigue” or feeling “depressed”, and insights from existing literature included for example “sleeping disturbances” or “sexual dysfunctions”. Participants sorted the insights into different themes and were encouraged to remove and/or add items as the workshop progressed. Input was also solicited regarding language and organization of content.

Software development

The Choice application contained a predefined list of symptoms that could be marked and graded for degree of bother and priorities for help [24, 26, 29, 30]. Based on options from Choice, the InvolveMe tool was developed and built to be integrated into an existing hospital patient portal, MyRec [35]. MyRec already had a secure login and options for secure messaging (email) between patients and HCPs, and the InvolveMe tool development therefore evolved around integrating the assessment functionality into MyRec.

The InvolveMe content and software development underwent several iterations, ensuring easily understandable language, brief and to the point sentences, and options for fitting content to the appropriate devices (e.g., content for small screens). The final selection of tool content was refined to fit a digital format and to facilitate easy and intuitive use. Software iterations were based on feedback (e.g., software features) from stakeholders as well as the constraints of MyRec, but were also affected by aspects from the content development (e.g., informational needs).

Results

Participant demographics

In interviews, the participating patients (n = 14) were median 54.5 years old (range: 37–67), with six women and eight men. Five patients had NFPA and nine were RTX. See Table 1 for patient demografics and clinical characteristics. In focus groups, six HCPs from a nephrology clinic and five HCPs from an endocrinal clinic participated in diagnostically separate focus groups. The participating HCPs (n = 11) were registered nurses (n = 6), health support personnel (n = 1), and physicians (n = 4), median 49 years old (range: 31–61) and had from two to 30 years of clinical experience from specialist health care.

Table 1 Patient demographics and clinical characteristics (n = 14)
Full size table

Results from interviews and focus groups

The findings from interviews with patients and focus groups with HCPs generated three main themes: 1) Making symptoms and challenges visible, 2) Mastering a new life, and 3) Digital opportunities in follow-up. See Table 2 for a thematic overview of content, and Table 3 for an overview of software functionalities.

Table 2 Thematic overview of content; Symptom and needs assessment in the InvolveMe tool
Full size table
Table 3 Overview of software functionalities in MyRec and the InvolveMe tool
Full size table

Making symptoms and challenges visible

The participating patients expressed a need for a variety of symptoms to be addressed in the digital tool. Two subthemes were identified under this main theme; Bodily Symptoms and Psychosocial Challenges.

Bodily symptoms

Patients in both diagnostic groups described their experience with the physical aspects of their conditions, and that the symptoms and their impact often were or felt invisible to their HCPs. One patient stated:

... you have to help patients on their way, particularly related to symptoms ... if you become accustomed to something, you might think it is normal...

Some symptoms were diagnostic specific, and some were generic. One patient stated:

...I often feel tired. I also have trouble sleeping. I sleep well when I finally fall asleep, but I do not fall asleep when I go to bed. So some days, I sort of- opt out. Simply because I feel so exhausted and tired.

In the focus groups, HCPs described a number of symptoms often raised by the patients. For example, HCPs described weight and sexual changes as issues that were often raised by NFPA patients (these issues were barely mentioned in the interviews with patients). Similarly, HCPs for RTX patients explained that in addition to symptoms from the kidney disease, patients also experienced symptoms from co-morbidities.

Psychosocial challenges

Patients from both patient groups described similar experiences related to change of roles and negative impact on quality of life. One patient stated:

Very often I say no to social activities

Some of the patients described struggling with emotions related to a changed life, while others described emotional concerns related to a failing health status or illness recurrence. One patient said:

...if the blood samples are non-significant, it’s easy to forget how the patient actually feels...

A few patients described experiencing difficulties accepting the physical changes caused by their illness, and described feeling alone and unsupported by their surroundings. Some patients described living alone as a source of vulnerability and anxiousness. NFPA patients also expressed vulnerability to stress and irritability. Those with responsibility for young children described worrying about how their illness was affecting their parenting. One patient said:

... and then I'm a little scared for myself as I get really annoyed and angry, even with my own children, so I just have to leave the room, you just can’t really handle it there and then.

In focus groups, HCPs for both patient groups described anxiety to be a common symptom for patients early in the disease trajectory, but that the degree of anxiety often decreased after surgery.

Mastering a new life

This theme illustrates challenges that might occur after being diagnosed with a chronic condition. Because of changes along the disease trajectory, patients described constantly having to learn to manage new aspects of their condition. Two subthemes were identified: The Need for Work Related Support and The Need for Information.

The need for work related support

The participating patients described wanting to live a “normal” life. Those who were able to work wanted to work, even though they described experiencing limitations due to their illness and life situation. One patient stated:

...I only work 50% and that's all I can do.

Several patients described being unable to remain in a physically demanding job. Others described being able to go to work because they had an office job that did not require “too much”. Not being able to work full time, or not at all, was described as difficult. The patients also described at times needing practical support from their HCPs, their manager or from colleagues. As one patient stated:

...it is a bit exhausting not to meet any understanding anywhere... I didn't receive any follow-up as a consequence …

The need for work-related support was briefly brought up in the focus groups with HCPs.

The need for information

Many patients mentioned wanting to make lifestyle changes and described needing information about how to do so. Several gave examples about how they had experimented with diet, physical activity and alternative lifestyles. One patient stated:

I have tried everything possible, I'm not on any medication you know...

Patients with RTX described experiencing a new life with many medications which sometimes caused troublesome side-effects. Some stated that information from HCPs was not always useful because of “poor timing” or information not being tailored to their personal needs. Some patients described having experienced that HCPs sometimes hesitated to give them prognostic information. One patient said:

I don't think one should always avoid things that are difficult to bring up or address.

In the focus groups, HCPs stated that most NFPA patients were told by someone, prior to their hospital visits, that they had a tumor in their brain, which increased the patients’ level of anxiety. The HCPs described they were uncertain as to whether patients could find information on their own.

Digital opportunities in follow-up

This theme illustrates challenges experienced by the patients when navigating the health care system, as well as potential opportunities for digital support and interaction. The main theme contained two subthemes; Navigating the Health Care System and Digital Possibilities for Interaction.

Navigating the health care system

Some of the patients had broad experience with the health care system through years of managing various condition related challenges, and expressed not always receiving adequate support. One patient stated:

Because I contacted her [HCP], and she promised me that they would call me back, that she would discuss it with a physician, but then I never heard from her again.

Patients described HCPs to be busy and difficult to contact by phone. A few patients said that if they could not reach their specialist by phone they would go to the hospital and wait until they could have an emergency consultation with their specialist HCP. One patient said:

If I cannot reach them, after all I live less than two miles from the hospital … when I need to, I just go there.

Patients were uncertain about where to find relevant health information from existing health portals. They described that it was common to forget questions, but said that it was also challenging to know who to ask, or what questions to ask. One patient said:

I think you [HCPs] have to help people to know, that is, it’s not always that you know what you are wondering about... and then you don’t know what it’s okay to ask, or is it appropriate, you know, there’s a lot of self-censorship.

In focus groups, HCPs described their daily work at the clinics as very hectic and that they sometimes forgot to document phone calls because of this. One HCP stated:

Well, there are quite a few phone calls where you think you should have written things down, and then you have like ten calls in a row, so there’s information that simply gets lost in a way, cause you somehow just can't catch up.

A few HCPs described sometimes sharing their private phone number with patients.

Digital possibilities for interaction

Most patients stated that it would be reassuring to use digital communication to contact their HCP. As one patient stated:

Just to have a little more dialogue between all these treatments and visits … for you [HCPs] this is probably just day-to-day business and very common, but for me, it’s been the biggest crisis of my life, right? I have after all thought that I was going to die, or never become myself again, or become a vegetable. I’ve been through all of those, because yes, I know nothing about this stuff.

Some patients suggested that an option to ask digital questions could prevent medication errors. As one patient said:

I think that it can prevent mistakes, that maybe, that you receive some medicine you don't tolerate, or that you receive the wrong treatment, or that you don't get the follow-up you should have had.

Patients also stated that digital contact with their health care provider could allow them to share what was important to them. One patient stated:

This week I have had some serious issues with something or other, and then I write it down, and she [HCP] knows it. And then she can sit and think about it in advance, before I come for my appointment, and that’s really smart.

Several patients stated that having “a digital list with symptoms” would be helpful, including using secure messaging with their HCPs.

Most of the participating HCPs wanted to communicate digitally with their patients, stating that such communication could potentially reduce the patients’ anxiety. HCPs also expressed concern that it might be difficult for patients to recall verbal information.“A digital list” would be useful for giving insight into patients’ needs and expectations prior to hospital visits, but HCPs stated that such a list should not be too extensive. HCPs also expressed the need to use an existing clinical system for digital patient-provider communication, and not an additional system that they would have to log into. As one HCP stated:

We need to have fewer platforms to deal with, more functionality in the platforms we already use.

Content and software development

In line with the participatory design approach, potential future users (i.e., patients and HCPs) provided input on needs and requirements for the digital communication tool. The content and software development of the InvolveMe tool are presented below. The first two main themes from the data collection provided input for the development of the symptom assessment part of the InvolveMe tool. The third main theme gave input for development of software features for the InvolveMe tool, and supported the use of secure messaging between hospital visits to support patients.

The InvolveMe tool content development

The data collection identified patient symptoms, needs and challenges, which were used to make a preliminary content record that was presented in the tool development workshops. Given that living with a chronic condition for many implies challenges related to concentration and fatigue, the research team made a decision that the content language should be brief and easy to read. See Table 2 for a thematic overview of tool content.

Workshops with participants

All patients participating in the tool development workshops were previously interviewed as a part of the initial data collection process. Four of the HCPs participating in the workshops had also participated in the focus groups, while two of the HCPs were “naïve” participants in order to elicit additional input. The workshops provided insight into how participants expected the organization of tool content to be, which provided input into the preliminary content record. At the same time, the workshops ensured that important topics only briefly mentioned in interviews with patients, potentially not yet addressed, were not left out. For example, the workshops with patients verified and elaborated on how psychological challenges and mental health were important factors to address for both patient groups. Similarly, workshops with both patients groups verified sexual dysfunctions as common. In addition, workshops with NFPA patients verified sleeping disturbances as essential to address.

Software development

Based on stakeholder input, the research team (i.e., researchers and system developers) decided that the patient interface should be developed for smartphones or tablets, while the HCPs interface should be developed to fit hospital computers due to data protection legislation. The software development was also influenced by the content development process as the included content affected which features should be built. The assessment part of InvolveMe was built to be used by patients in their home settings, and for messages to be sent via the existing secure message functionality in MyRec. This would allow HCPs to invite patients to complete assessments prior to hospital visits, using system generated notifications by email or text message. The patients would then log into MyRec and open the email invitation to complete the assessment (i.e., a predefined list of symptoms and needs based on the thematic overview of content, see Table 2). The assessment included a functionality for rating how bothersome patients found current symptoms, and a function for prioritizing themes for discussion with their HCPs at the upcoming visit. By completing the assessment, the InvolveMe tool generates a summary. When completed and sent, the HCPs would receive a notification, the same notification would also apply for the use of secure messages between hospital visits. An overview of software functionalities is shown in Table 3. Screenshots from the patient interface of the InvolveMe tool are presented in Fig. 2.

Fig. 2
figure 2

Screenshots from the patient interface of the InvolveMe tool

Full size image

Discussion

Principal findings

The current study describes the process involved in the exploration, data collection, content and software development of the InvolveMe tool; a patient-provider communication tool with two tailored symptoms and needs assessment versions suited to the symptoms and needs of patients with NFPA and RTX. Through the use of InvolveMe, patients will have the option to report their symptoms and needs, and rate how bothersome their symptoms are. InvolveMe will also provide patients with an opportunity to register their priority of themes to address in upcoming visit(s), and generate a summary intended for use in face-to face patient-provider communication during hospital visits. The integration of InvolveMe with MyRec provides options to complete the assessment at home prior to hospital visits on a variety of portable devices, as well as options to send secure messages between patient and HCPs.

Describing patients’ current situation

Data collection from patients and HCPs revealed a wide range of symptoms and needs experienced by the participating patient groups. This is in line with previous research addressing the impact of living with chronic health conditions [1,2,3,4, 37,38,39,40,41,42]. Patients with chronic health conditions are characterized by large individual variations in symptoms, symptom frequency, symptom severity and the degree to which the patients are bothered by the symptoms, which makes it difficult to anticipate the type of care that may be in the patients’ best interest. Being able to communicate each patient’s current situation to HCPs can provide insight into patients’ clinical status and help identify important themes for patient-provider discussions [48], which is of essence for SDM [15]. Digitally reported measures can help patients describe the difficulties they experience [48], an issue described as challenging to convey by patients in the current study. The patients’ situation could also change from one hospital visit to another, making repeated assessments prior to each visit crucial for facilitating individually tailored care [13].

Providing emotional support

The interviewed patients described facing many psychological challenges, a topic that was barely raised by the HCPs. Research has shown that if patients express emotional cues at all, these are often missed by the HCPs [49, 50]. Providing emotional support to patients when expressing negative emotions has been found to elicit clinically important information and foster patient-provider relationship [51]. Emotional support can also promote patient involvement, patient adherence to treatment plans, and other actions or behaviors that may lead to better patient outcomes [52]. The psychological symptoms described in the current study were included in the assessment part of the InvolveMe tool. Conducting an assessment prior to consultations has been seen to be an effective intervention in which patients can express cues and concerns, and also express such issues at an earlier point in consultations with their HCPs [53]. Facilitating a way for patients to communicate their symptoms to their HCPs has also been linked to reduced symptom distress [25, 26]. The fact that the InvolveMe tool includes assessment of psychological symptoms could therefore have the potential to facilitate patient-provider conversations where emotional symptoms and symptom distress are also included.

Patient preference in symptom management

Including patient preferences can help set priorities for the hospital visit, and may facilitate patient-provider deliberation about symptom management, an essential part of chronic health care. Use of the original Choice application, compared with controls not using Choice, has been associated with significantly more symptoms being addressed in consultations [30]. Also, HCPs using Choice have reported that the tool served as a facilitator for mutual communication engagement between patients and HCPs, and also strengthened the patient voice and promoted shared care planning [27]. This is an important part of addressing the patient situation [17] and in line with SDM [15].

Requesting information based on informational needs

Patients with chronic health conditions have been described as having difficulties interacting with their HCPs and understanding health information [5, 12]. Negative experiences may prevent necessary lifestyle adjustment or change, and may prevent patients from living well. The patient-provider relationship does in fact have a significant effect on healthcare outcomes [54], including influencing patients’ subjective symptom burden and HRQoL [55]. Assessing patients’ informational preferences can reduce patients’ informational needs and improve provision of information [55], which again indicates that information should be provided to patients at a point when they request such information. This mindset was incorporated into the InvolveMe tool by providing an opportunity for patients to request information based on present needs. Such features can potentially support patients in making choices about their lifestyle, on their own terms, when they are ready to do so. For example, patients using the Choice application reported feeling encouraged to ask more questions, and HCPs provided more information to their patients [30].

Providing digital opportunities for patient-provider interaction

Patients’ and HCPs’ input on digital opportunities is in line with previous research showing that recall bias and inaccurate information can be reduced by using digital communication [48]. In the chronic health care setting, patient-provider communication through secure messaging can act as a valuable supplement to standard care [23, 28, 32], supporting patient-provider relationships through enabling reassurance and commitment for the patient as well as the HCP. Research also suggests that patient access to use secure messaging with HCP may be linked to reduced depression among patients with serious illness [27]. Access to digital patient-provider communication have been seen to provide patients with a sense that the HCPs are interested in them and more present, an increased sense of connection between patients and HCPs, and also a reduced sense of being alone in dealing with their condition for the patients [48]. Through increasing two-way communication and thereby strengthening the patient-provider relationships, an essential part of SDM [15], secure messaging clearly has the potential to be a powerful tool in the management of chronic health conditions.

Study limitations, strengths and future directions

This study has several limitations. First, two separate patient groups were included in the development process of the InvolveMe tool. Differences between the two groups could potentially complicate the development process. However, as shown in Table 2, the two patient groups shared most symptoms and expressed needs. Second, the use of an existing application (i.e., Choice) and integration with an existing patient portal (i.e., MyRec) may have limited the design and development process, including potentially reducing creativity. However, the development process of InvolveMe was based on a digital intervention already proven to have effect [24, 26, 29, 30, 53, 56], and integrated with an existing patient portal already used by HCPs, a combination that likely will support implementation. Finally, the InvolveMe tool does not use validated outcome measures to obtain symptoms and needs data, which may raise questions as to whether InvolveMe measures as intended. However, the InvolveMe tool was not designed to be a validated measure of symptoms, but rather to provide options for patient-provider interaction, and to improve and individualize patient-provider communication in long term follow up of patients with chronic health conditions.

This study also has several strengths. The development process took place in close collaboration with stakeholders, including patients, HCPs, researchers, system developers and patient representatives. Through stakeholder involvement of potential future users, from study initiation through exploration, design and development processes, the study ensured inclusion of content and software functionalities relevant and meaningful for patients as well as HCPs. Such a process has the potential to contribute to increasing the potential effectiveness of the developed intervention. Another strength of the current study is that multiple data collection methods with stakeholders directly informed the selection and refinement of the symptom and needs assessment part of the InvolveMe tool.

Future studies should investigate the perspectives of patients as well as HCPs regarding the usefulness and feasibility of the InvolveMe tool in clinical practice. To explore usability and potential effects of the InvolveMe tool, a feasibility pilot study is in progress where patients as well as HCPs will test content and software functionalities in a clinical context. In the upcoming pilot study, exploring how use of the InvolveMe tool affects the patient-provider interaction and communication will be of essence.

Conclusion

The current study described the participatory design approach, incorporating stakeholder input, evidence and theory, when developing the content and software of InvolveMe, a patient-provider communication tool for chronic health care settings. The InvolveMe tool has the potential to strengthen patient-provider partnership and improve communication by drawing out what matters to each individual patient. The use of the tool should be regarded as a supplement to standard care. The described design and development approach, aiming to improve and individualize patient-provider communication in long term follow up may provide input for other researchers aiming to develop digital interventions in chronic health care settings. While the usability, feasibility and hypothetical efficacy remains to be tested, a tool such as InvolveMe may have the potential to be useful for a variety of patient groups with chronic health conditions.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. Access to the patient portal MyRec is available at; https://L2W.no/ytbe

Abbreviations

GP:

General physician

HCP:

Healthcare provider

HRQoL:

Health Related Quality of Life

NFPA:

Non-functioning pituitary adenoma

RTX:

Renal transplant recipient

SDM:

Shared decision making

References

  1. Burstrom K, Johannesson M, Diderichsen F. Health-related quality of life by disease and socio-economic group in the general population in Sweden. Health Policy. 2001;55(1):51–69.

    Article  CAS  PubMed  Google Scholar 

  2. Saarni SI, Harkanen T, Sintonen H, Suvisaari J, Koskinen S, Aromaa A, et al. The impact of 29 chronic conditions on health-related quality of life: a general population survey in Finland using 15D and EQ-5D. Qual Life Res. 2006;15(8):1403–14.

    Article  PubMed  Google Scholar 

  3. Heyworth IT, Hazell ML, Linehan MF, Frank TL. How do common chronic conditions affect health-related quality of life? Br J Gen Pract. 2009;59(568):e353–8.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wu M, Brazier JE, Kearns B, Relton C, Smith C, Cooper CL. Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample. Eur J Health Econ. 2015;16(2):141–51.

    Article  PubMed  Google Scholar 

  5. May CR, Cummings A, Myall M, Harvey J, Pope C, Griffiths P, et al. Experiences of long-term life-limiting conditions among patients and carers: what can we learn from a meta-review of systematic reviews of qualitative studies of chronic heart failure, chronic obstructive pulmonary disease and chronic kidney disease? BMJ Open. 2016;6(10):e011694.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Aiyegbusi OL, Kyte D, Cockwell P, Marshall T, Gheorghe A, Keeley T, et al. Measurement properties of patient-reported outcome measures (PROMs) used in adult patients with chronic kidney disease: a systematic review. PLoS One. 2017;12(6):e0179733.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Lubberding S, van Uden-Kraan CF, Te Velde EA, Cuijpers P, Leemans CR, Verdonck-de Leeuw IM. Improving access to supportive cancer care through an eHealth application: a qualitative needs assessment among cancer survivors. J Clin Nurs. 2015;24(9–10):1367–79.

    Article  PubMed  Google Scholar 

  8. Basch E, Iasonos A, McDonough T, Barz A, Culkin A, Kris MG, et al. Patient versus clinician symptom reporting using the National Cancer Institute common terminology criteria for adverse events: results of a questionnaire-based study. Lancet Oncol. 2006;7(11):903–9.

    Article  PubMed  Google Scholar 

  9. Basch E, Jia X, Heller G, Barz A, Sit L, Fruscione M, et al. Adverse symptom event reporting by patients vs clinicians: relationships with clinical outcomes. J Natl Cancer Inst. 2009;101(23):1624–32.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Laugsand EA, Sprangers MA, Bjordal K, Skorpen F, Kaasa S, Klepstad P. Health care providers underestimate symptom intensities of cancer patients: a multicenter European study. Health Qual Life Outcomes. 2010;8:104.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Vistad I, Cvancarova M, Fossa SD, Kristensen GB. Postradiotherapy morbidity in long-term survivors after locally advanced cervical cancer: how well do physicians' assessments agree with those of their patients? Int J Radiat Oncol Biol Phys. 2008;71(5):1335–42.

    Article  PubMed  Google Scholar 

  12. Friis K, Lasgaard M, Osborne RH, Maindal HT. Gaps in understanding health and engagement with healthcare providers across common long-term conditions: a population survey of health literacy in 29,473 Danish citizens. BMJ Open. 2016;6(1):e009627.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Kotronoulas G, Kearney N, Maguire R, Harrow A, Di Domenico D, Croy S, et al. What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. J Clin Oncol. 2014;32(14):1480–501.

    Article  PubMed  Google Scholar 

  14. Chen J, Ou L, Hollis SJ. A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Serv Res. 2013;13:211.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Montori VM, Gafni A, Charles C. A shared treatment decision-making approach between patients with chronic conditions and their clinicians: the case of diabetes. Health Expect. 2006;9(1):25–36.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Gionfriddo MR, Leppin AL, Brito JP, Leblanc A, Shah ND, Montori VM. Shared decision-making and comparative effectiveness research for patients with chronic conditions: an urgent synergy for better health. J Comp Eff Res. 2013;2(6):595–603.

    Article  PubMed  Google Scholar 

  17. Hargraves I, LeBlanc A, Shah ND, Montori VM. Shared decision making: the need for patient-clinician conversation, not just information. Health Aff (Millwood). 2016;35(4):627–9.

    Article  Google Scholar 

  18. Di Blasi Z, Harkness E, Ernst E, Georgiou A, Kleijnen J. Influence of context effects on health outcomes: a systematic review. Lancet. 2001;357(9258):757–62.

    Article  PubMed  Google Scholar 

  19. Stacey D, Legare F, Lewis K, Barry MJ, Bennett CL, Eden KB, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:Cd001431.

    PubMed  Google Scholar 

  20. Wieringa TH, Rodriguez-Gutierrez R, Spencer-Bonilla G, de Wit M, Ponce OJ, Sanchez-Herrera MF, et al. Decision aids that facilitate elements of shared decision making in chronic illnesses: a systematic review. Syst Rev. 2019;8(1):121.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kunneman M, Montori VM, Castaneda-Guarderas A, Hess EP. What is shared decision making? (and what it is not). Acad Emerg Med. 2016;23(12):1320–4.

    Article  PubMed  Google Scholar 

  22. Jacobs RJ, Lou JQ, Ownby RL, Caballero J. A systematic review of eHealth interventions to improve health literacy. Health Informatics J. 2016;22(2):81–98.

    Article  PubMed  Google Scholar 

  23. Goldzweig CL, Towfigh AA, Paige NM, Orshansky G, Haggstrom DA, Beroes JM, et al. Systematic review. Secure messaging between providers and patients, and patients' access for their own medical record: Evidence on health outcomes, satisfaction, efficiency and attitudes. Whashingthon (DC): Department of Veteran Affairs (US); 2012.

    Google Scholar 

  24. Heyn L, Ruland CM, Finset A. Effects of an interactive tailored patient assessment tool on eliciting and responding to cancer patients' cues and concerns in clinical consultations with physicians and nurses. Patient Educ Couns. 2012;86(2):158–65.

    Article  PubMed  Google Scholar 

  25. Johansen MA, Berntsen GK, Schuster T, Henriksen E, Horsch A. Electronic symptom reporting between patient and provider for improved health care service quality: a systematic review of randomized controlled trials. part 2: methodological quality and effects. J Med Internet Res. 2012;14(5):e126.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Ruland CM, Holte HH, Roislien J, Heaven C, Hamilton GA, Kristiansen J, et al. Effects of a computer-supported interactive tailored patient assessment tool on patient care, symptom distress, and patients' need for symptom management support: a randomized clinical trial. J Am Med Inform Assoc. 2010;17(4):403–10.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Borosund E, Cvancarova M, Moore SM, Ekstedt M, Ruland CM. Comparing effects in regular practice of E-communication and web-based self-management support among breast Cancer patients: preliminary results from a randomized controlled trial. J Med Internet Res. 2014;16(12):e295.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kruse CS, Argueta DA, Lopez L, Nair A. Patient and provider attitudes toward the use of patient portals for the management of chronic disease: a systematic review. J Med Internet Res. 2015;17(2):e40.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Ruland CM, White T, Stevens M, Fanciullo G, Khilani SM. Effects of a computerized system to support shared decision making in symptom management of cancer patients: preliminary results. J Am Med Inform Assoc. 2003;10(6):573–9.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Heyn L, Finset A, Eide H, Ruland CM. Effects of an interactive tailored patient assessment on patient-clinician communication in cancer care. Psychooncology. 2013;22(1):89–96.

    Article  PubMed  Google Scholar 

  31. Whitehead L, Seaton P. The effectiveness of self-management Mobile phone and tablet apps in long-term condition management: a systematic review. J Med Internet Res. 2016;18(5):e97.

    Article  PubMed  PubMed Central  Google Scholar 

  32. de Jong CC, Ros WJ, Schrijvers G. The effects on health behavior and health outcomes of internet-based asynchronous communication between health providers and patients with a chronic condition: a systematic review. J Med Internet Res. 2014;16(1):e19.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Jagosh J, Macaulay AC, Pluye P, Salsberg J, Bush PL, Henderson J, et al. Uncovering the benefits of participatory research: implications of a realist review for health research and practice. Milbank Q. 2012;90(2):311–46.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Robertson T, Wagner I. Ethics: engagement, representation and politics-in-action. In: Simonsen J, Robertson T, editors. Routledge international handbook of Participartory design. New York: Routledge; 2013. p. 64–84.

    Google Scholar 

  35. Grisot M, Hanseth O, Thorseng A. Innovation Of, In, On Infrastructures: Articulating the Role of Architecture in Information Infrastructure Evolution. J Ass Inf Systems. 2014;15(Special Issue (4)):197–219.

    Google Scholar 

  36. National Institute for Health and Care Exellence. Renal replacement therapy and conservative management. NICE clinical guideline 107. NICE 2018.

    Google Scholar 

  37. Joustra SD, Thijs RD, van den Berg R, van Dijk M, Pereira AM, Lammers GJ, et al. Alterations in diurnal rhythmicity in patients treated for nonfunctioning pituitary macroadenoma: a controlled study and literature review. Eur J Endocrinol. 2014;171(2):217–28.

    Article  CAS  PubMed  Google Scholar 

  38. Andela CD, Niemeijer ND, Scharloo M, Tiemensma J, Kanagasabapathy S, Pereira AM, et al. Towards a better quality of life (QoL) for patients with pituitary diseases: results from a focus group study exploring QoL. Pituitary. 2015;18(1):86–100.

    Article  PubMed  Google Scholar 

  39. Andela CD, Scharloo M, Ramondt S, Tiemensma J, Husson O, Llahana S, et al. The development and validation of the Leiden bother and needs questionnaire for patients with pituitary disease: the LBNQ-pituitary. Pituitary. 2016;19(3):293–302.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Amro A, Waldum-Grevbo B, von der Lippe N, Brekke FB, Miaskowski C, Os I. Symptom clusters from Dialysis to renal transplantation: a five-year longitudinal study. J Pain Symptom Manag. 2016;51(3):512–9.

    Article  Google Scholar 

  41. von der Lippe N, Waldum B, Brekke FB, Amro AA, Reisaeter AV, Os I. From dialysis to transplantation: a 5-year longitudinal study on self-reported quality of life. BMC Nephrol. 2014;15:191.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Andela CD, Scharloo M, Pereira AM, Kaptein AA, Biermasz NR. Quality of life (QoL) impairments in patients with a pituitary adenoma: a systematic review of QoL studies. Pituitary. 2015;18(5):752–76.

    Article  PubMed  Google Scholar 

  43. Staniszewska S, Brett J, Simera I, Seers K, Mockford C, Goodlad S, et al. GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research. Res Involv Engagem. 2017;3(1):13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Morgan D. Focus group interviewing. In: Gubrium JF, Holstein JA, editors. Handbook of interview research: context and method. Thousands Oaks: Sage; 2002. p. 141–59.

    Google Scholar 

  45. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.

    Article  Google Scholar 

  46. Clarke V, Braun V. Thematic analysis. J Posit Psychol. 2017;12(3):297–8.

    Article  Google Scholar 

  47. Spencer D. Card sorting: Designing Usable Categories. 1st ed. Brooklyn: Rosenfeld Media; 2009.

    Google Scholar 

  48. Qudah B, Luetsch K. The influence of mobile health applications on patient - healthcare provider relationships: a systematic, narrative review. Patient Educ Couns. 2019;102(6):1080–9.

    Article  PubMed  Google Scholar 

  49. Zimmermann C, Del Piccolo L, Finset A. Cues and concerns by patients in medical consultations: a literature review. Psychol Bull. 2007;133(3):438–63.

    Article  PubMed  Google Scholar 

  50. Mjaaland TA, Finset A, Jensen BF, Gulbrandsen P. Physicians' responses to patients' expressions of negative emotions in hospital consultations: a video-based observational study. Patient Educ Couns. 2011;84(3):332–7.

    Article  PubMed  Google Scholar 

  51. Adams K, Cimino JE, Arnold RM, Anderson WG. Why should I talk about emotion? Communication patterns associated with physician discussion of patient expressions of negative emotion in hospital admission encounters. Patient Educ Couns. 2012;89(1):44–50.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Rathert C, Wyrwich MD, Boren SA. Patient-centered care and outcomes: a systematic review of the literature. Med Care Res Rev. 2013;70(4):351–79.

    Article  PubMed  Google Scholar 

  53. Heyn L, Finset A, Ruland CM. Talking about feelings and worries in cancer consultations: the effects of an interactive tailored symptom assessment on source, explicitness, and timing of emotional cues and concerns. Cancer Nurs. 2013;36(2):E20–30.

    Article  PubMed  Google Scholar 

  54. Kelley JM, Kraft-Todd G, Schapira L, Kossowsky J, Riess H. The influence of the patient-clinician relationship on healthcare outcomes: a systematic review and meta-analysis of randomized controlled trials. PLoS One. 2014;9(4):e94207.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. Riedl D, Schussler G. The influence of doctor-patient communication on health outcomes: a systematic review. Z Psychosom Med Psychother. 2017;63(2):131–50.

    PubMed  Google Scholar 

  56. Ruland CM, Andersen T, Jeneson A, Moore S, Grimsbo GH, Borosund E, Ellison MC. Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nurs. 2013;36(1):6–17.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the patients and health care providers who participated in this study. The authors would also like to thank all collaborating project team partners, including the editorial group and software team at Department of Digital Health Research at Oslo University Hospital, particularly editorial team leader Marianne Westeng, editors Marianne Ollivier, Anne Bergland and Elanor Halvorsen Brendmo, design and development team leader Per Tømmer, system designer Yizhak Itzchaki, technical lead Stein Jakob Nordbø and system developers Per Olav Flaten and Daniel Sollie Hansen for their exceptional work throughout the project process. The authors would also like to thank MyRec’s system manager Sissel Jor, strategic advisor Kaia Spillhaug Thorkildsen and system developer Håkon Vestli. The authors would also like to thank registered nurses Ida Sofie Grorud, Kari Abelsen, Line Cecilie Krabbe and Pernille Fabricius Dybwad for their ongoing engagement, assistance and input in the project. Finally, the authors want to thank the project patient representatives Heidi Larsen and Marianne Øiahals for their encouragement, support and inspiring input in the project.

Funding

This study was funded by the Norwegian Nurses Organization (Grant # 847382, Principal Investigator EB). The Norwegian Nurses Organization has not participated in conducting the research.

Author information

Authors and Affiliations

  1. Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway

    Berit Seljelid, Cecilie Varsi, Lise Solberg Nes & Elin Børøsund

  2. Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway

    Berit Seljelid, Lise Solberg Nes & Jens Bollerslev

  3. Department of Psychiatry & Psychology, College of Medicine & Science, Mayo Clinic, Rochester, MN, USA

    Lise Solberg Nes

  4. Department of Nephrology, Division of Medicine, Oslo University Hospital, Oslo, Norway

    Aud-E Stenehjem

  5. Section of Specialized Endocrinology, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Division of Medicine, Oslo University Hospital, Oslo, Norway

    Jens Bollerslev

Authors
  1. Berit Seljelid
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cecilie Varsi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lise Solberg Nes
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aud-E Stenehjem
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jens Bollerslev
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Elin Børøsund
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

BS and EB conducted the primary data collection. BS, EB and CV performed the data analysis. BS, EB, CV and LSN drafted the manuscript. BS, EB, CV, LSN, AS and JB provided domain expertise. AS and JB have substantively revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Elin Børøsund.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the hospital department for data protection and information security (i.e., Institutional Review Board equivalent) at Oslo University Hospital (20178/9223). Written informed consent was obtained from all participants. To guarantee confidentiality, the transcripts were coded with project ID numbers. Only the first author/project administrator (BS) and the senior author/principal investigator (EB) had access to the code connecting the project ID numbers and the actual participant names. Due to the design and development emphasis of the study, the need for study approval was waived by the Regional Committee for Medical and Health Research Ethics for South East Norway, which is in line with the Norwegian legislation (https://L2W.no/lney).

Consent for publication

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.

InvolveMe Interview guide

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seljelid, B., Varsi, C., Solberg Nes, L. et al. Content and system development of a digital patient-provider communication tool to support shared decision making in chronic health care: InvolveMe. BMC Med Inform Decis Mak 20, 46 (2020). https://doi.org/10.1186/s12911-020-1065-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12911-020-1065-8

Keywords

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us