Literature DB >> 32928779

'We are very individual': anticipated effects on stroke survivors of using their person-generated health data.

Gerardo Luis Dimaguila1,2, Frances Batchelor3,4, Mark Merolli2, Kathleen Gray2.   

Abstract

BACKGROUND: Person-generated health data (PGHD) are produced by people when they use health information technologies. People who use PGHD may experience changes in their health and care process, such as engagement with their own healthcare, and their sense of social support and connectedness. Research into evaluating those reported effects has not kept up; thus, a method for measuring PGHD outcomes was previously designed and applied to the exemplar case of Kinect-based stroke rehabilitation systems. A key step of the method ensures that the patient's voice is included. Allowing stroke survivors to participate in the development and evaluation of health services and treatment can inform healthcare providers on decisions about stroke care, and thereby improve health outcomes.
OBJECTIVE: This paper presents the perspectives of stroke survivors and clinicians on the anticipated effects of stroke survivors' use of PGHD from a poststroke simulated rehabilitation technology.
METHODS: This study gathered the perspectives of stroke survivors and clinicians through three focus groups and three interviews, recruited for convenience. Participants were also asked questions intended to encourage them to comment on the initial items of the patient-reported outcome measure-PGHD. Deductive thematic analysis was performed.
RESULTS: This paper has further demonstrated that outcomes of using PGHD can be measured. For instance, stroke survivors described that using PGHD could result in positive, negative and nil effects on their health behaviours. Survivors and clinicians had varying perspectives in three of the six themes presented, and emphasise the importance of allowing stroke survivors to participate in the evaluation of digital health services. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  BMJ health informatics; health care; patient care

Mesh:

Year:  2020        PMID: 32928779      PMCID: PMC7488803          DOI: 10.1136/bmjhci-2020-100149

Source DB:  PubMed          Journal:  BMJ Health Care Inform        ISSN: 2632-1009


Measuring health outcomes resulting from patients' use of their person-generated health data (PGHD) through patient-reported outcome measures (PROMs) could provide a standardised approach to evaluating and improving health information technologies. A PROM-PGHD Development Method was previously demonstrated for the case study of a type of stroke rehabilitation systems, resulting in a preliminary item bank of PROM-PGHD. Allowing stroke survivors to participate in the development and evaluation of health services and treatment can inform healthcare providers on decisions about stroke care, and thereby improve health outcomes. To improve the preliminary item bank, this paper gathered perspectives of stroke survivors and clinicians on the anticipated effects on stroke survivors when they use PGHD from a poststroke simulated rehabilitation technology. This paper has further demonstrated that outcomes of using PGHD can be measured. For instance, stroke survivors described that using PGHD could result in positive, negative and nil effects on their health behaviours. This paper confirmed that patients and clinicians could have varying perspectives about health care, emphasising the necessity of using participatory methods in the design, development and evaluation of health information technologies.

Background

Person-generated health data (PGHD) are produced by people when they use health information technologies (HITs) such as activity tracking devices and applications, and simulated rehabilitation technologies, to monitor their health outside of a clinical setting. People may also record and analyse their PGHD for themselves, which includes wellness and other biometric data.1–3 It has been reported that people who use PGHD have changes in their engagement with their own healthcare, their relationship with their healthcare providers and their sense of social support and connectedness.4–11 Thus, PGHD utilisation promotes participatory health. Research into evaluating those reported effects, however, has not kept up,1 2 12 and there is a need for a systematic way of measuring health outcomes for people who access and use their PGHD.1 13 14 In response, a method for developing patient-reported outcome measures (PROMs) using PGHD, called the PROM-PGHD Development Method, was designed by the authors.15 16 Using PROMs has also been suggested as a way to standardise the measurement of PGHD outcomes and strengthen the empirical evidence around PGHD.3 PROMs allow people to self-report their health status or experience with an illness or treatment, without the need for additional clinician interpretation of the report.17–19 A patient-reported outcome may indicate status at a single point of time, or be compared with previous patient-reported outcomes to show changes over time.17 20 PROMs enable patients to participate in improving the evidence base of a variety of HITs, as patients contribute to more precise evaluation of the effects of those technologies.21 The value of using PROMs to standardise evaluation of health status for increased quality of healthcare provision is marked by key projects around the world.22 23 Similar to how PROMs may be used in conjunction with other health indicators,22 PROMs-PGHD can complement existing patient-reported or clinician-reported outcomes of interventions or monitoring plans involving HITs. PROMs-PGHD can measure health outcomes or status as a result of people accessing, using and reporting their own PGHD. This would allow people to participate in evaluation of HITs, and the effects of using health data they generate themselves.15 The PROM-PGHD Development Method was applied to the exemplar case of Kinect-based stroke rehabilitation systems (K-SRS).15 The complexity of care involved in stroke, and its high global burden make it an important area for implementing rehabilitation systems.24 25 Barriers to access and availability, such as cost and distance, necessitate more convenient and practical rehabilitation options for stroke survivors.26 Simulated rehabilitation technologies such as K-SRS offer stroke survivors an alternative, effective option to perform simulated activities of daily living (ADL).27 Moreover, they allow for a more consistent and semicontrolled process of monitoring and evaluating survivors’ therapeutic progress.27 28 For instance, U.S. Food and Drug Administration (FDA) approved Jintronix provides users with games that simulate clinical exercises,29 30 and produces PGHD.2 Benefits of such systems to stroke therapy have been reported.27 28 31 32 Therefore, measuring PGHD outcomes in K-SRS is an important use case.2 A key step of the PROM-PGHD Development Method ensures that the patient’s voice is included through focus groups and/or semistructured interviews.15 This allows the target cohort to provide feedback on the initial items of the PROM-PGHD. It also allows developers to understand the thinking processes and vocabulary of the target cohort, and to identify any measurement areas that are not covered by the PROM-PGHD’s initial item bank. This would bridge current gaps between the initial items and the target domain to be measured.15 For reference, the PROM-PGHD Development Method is illustrated in figure 1 (previously published in Ref. 16).
Figure 1

The steps of the patient-reported outcome measure using person-generated health data (PROM-PGHD) development method. This figure illustrates the process followed in developing a PROM-PGHD. This was previously published in Ref.16

The steps of the patient-reported outcome measure using person-generated health data (PROM-PGHD) development method. This figure illustrates the process followed in developing a PROM-PGHD. This was previously published in Ref.16 Allowing stroke survivors to participate in the development and evaluation of health services and treatment has been shown to inform healthcare providers on decisions about stroke care, and thereby improve health outcomes.33 In particular, qualitative activities such as focus groups and interviews can be valuable in revealing aspects of stroke survivors’ healthcare and rehabilitation process that is most important to them, such as types of therapy they think are most effective33 and factors that will help motivate them to perform therapeutic exercises over the long term.34 Additionally, stroke survivors may also provide direct insights into considerations that would enable a stroke self-management programme to be effective,35 such as their readiness, support and collaborations needed for them to successfully self-manage their care.36 This also includes stroke survivors’ complex, changing nature of self-management where their carers could be either encouraging or constraining37; the influence of interpersonal care practices on their overall recovery38; and primary rehabilitation outcomes they want to achieve.33 Eliciting the input of stroke survivors is particularly important because there could be differences in their perspectives and that of their care providers, regarding treatment and management. For instance, differences in stroke survivors and their therapists’ understanding of self-management and accompanying barriers could result in conflicting expectations of the role that patients and their therapists have of each other. This could undermine the success of self-management strategies.39 Desired health outcomes from physical activities such as structured exercises and ADL could also differ between stroke survivors and those of health professionals involved in their rehabilitation. While the former may value the outcome of participation in personally meaningful activities, resulting in a continued sense of self-poststroke, clinicians may value the outcome of functional or physical movement which may not be as personally meaningful for the stroke survivors.40 These differences may also present challenges to the design and evaluation of HITs that produce PGHD. For example, a ‘tension’ between the needs and preferences of patients with surgical site infections and their care providers has been documented, and has implications for the design and implementation of a web-based wound management application that produce PGHD.8

Objective

This paper presents the perspectives of stroke survivors and clinicians on the anticipated effects of stroke survivors’ use of PGHD from a poststroke simulated rehabilitation technology.

Methods

As part of the PROM-PGHD development method, focus groups were conducted with stroke survivors and clinicians, or semistructured interviews for those who could not agree on a similar day or time with others. This study was conducted as part of a larger research project, in order to refine the preliminary item bank of a PROM-PGHD.15 16 Other activities to develop the PROM-PGHD are reported elsewhere, including in Refs. 2 13 15. Earlier discussions with a different cohort of stroke survivors13 are discussed briefly in the Results section to show parallels and variety of how PGHD may affect health outcomes. The presentation of this paper was largely guided by recommendations for qualitative research in eHealth.41 The procedure for conducting the discussions is outlined in online supplementary appendix 1.

Setting

Participants were recruited from two sites in Australia: Headway ABI in Queensland and a large metropolitan hospital in Melbourne, Victoria. Headway ABI is a not-for-profit outpatient clinic providing rehabilitation services to people who have an acquired brain injury. Their clients usually come from the cities of Brisbane and Gold Coast. The metropolitan Melbourne hospital is a tertiary and quaternary health service, and specialises in areas such as cancer, infectious diseases and rehabilitation. As far as the authors know, Headway ABI is the only health and fitness centre in Australia where Jintronix-simulated rehabilitation services are available to stroke survivors. Thus, participants recruited through Headway would be the only ones in Australia who would have voluntarily opted to use Jintronix as part of their ongoing therapy.

Participants

The researchers aimed to include two groups: stroke survivors themselves, and physiotherapists who had experience of working with such clients. At Headway ABI, only one client was available to be recruited. We aimed to also include staff but this did not occur because of their limited availability.

Headway ABI

Eligible stroke survivors were adults who used Jintronix, an FDA-approved,29 30 simulated rehabilitation system using a leading body-tracking technology, Kinect,42 as part of usual outpatient therapy provided by Headway ABI. They were eligible if they had not used any other stroke rehabilitation software, for example, an exercise platform using consumer technology Nintendo Wii,43 were proficient in English, and did not have any mental, visual or verbal medical conditions that may impact their participation. Eligible participants were identified by a staff, who initiated first contact with potential participants, and collected their consent to release contact information to the authors, that is, email, or telephone/mobile number. After receiving the details of eligible participants, GLD contacted the eligible participants to discuss the project, invite them to participate and secure their verbal consent. Only one stroke survivor (age group 60–64) could be recruited from Headway ABI. The exact age is concealed as per BMJ requirement. The semistructured interview was conducted through a Zoom video call. It had been 5 months since her last stroke, and 4 years since her first.

Melbourne health service

Eligible stroke survivors were adults who underwent usual therapy provided by the Melbourne health service, have not used any other stroke rehabilitation software, were proficient in English and did not have any cognitive, visual or speech impairments that impacted their participation. Eligible participants were identified by a clinician collaborator from the Melbourne health service. The collaborator initiated first contact with potential participants, to gather potential interest. After receiving the contact information of participants, GLD and FB contacted the eligible participants to discuss the project, and invite them to participate. Eligible physiotherapists were those who provided therapeutic services to stroke survivors, and had not used any other stroke rehabilitation software. All participant focus groups and interviews were conducted at a rehabilitation campus of the Melbourne health service. Five clinicians were able to participate in a focus group, conducted in January 2019. The most experienced clinician had 37 years of experience, with 35 of those working with stroke survivors. The least experienced had 2 years, with 1 year working with stroke survivors. Table 1 presents each clinician’s number of years working as a physiotherapist, and with stroke survivors. Meanwhile, four stroke survivors were able to participate in two separate focus groups; and another two stroke survivors participated in semistructured interviews. All focus groups and interviews with stroke survivors occurred in April and May 2019. The oldest was within the age group of 75–79 years old, and it was 11.5 years since their first stroke. The youngest was within the age group of 55–59 years old, and it was 2 years since their first stroke. Table 1 shows each survivor’s age groups and number of years since their first stroke. Their exact ages are concealed as per BMJ requirement.
Table 1

Clinicians’ length of experience, and stroke survivors’ age groups and years since stroke

Participant #CliniciansStroke survivors
Years as physiotherapistYears working with stroke survivorsAge groupYears since first stroke
1373575–7911.5
2332870–7420
3282565–693.5
47765–694
52160–642.5
655–592
Clinicians’ length of experience, and stroke survivors’ age groups and years since stroke

Data analysis

Approximately 7 hours comprising three focus groups and three interviews were transcribed verbatim by GLD. All transcriptions were rechecked for accuracy, and deidentified. The transcriptions, data management and coding were conducted using NVivo V.11 (QSR International Pty, Melbourne, Australia). Deductive thematic analysis was initially conducted independently by GLD, KG and MM on a selection of transcripts. Themes were previously derived deductively from the identified PGHD effects from the literature.15 Once common understanding was achieved for how themes are applied, GLD proceeded to analyse the rest of the transcripts. GLD initially listened through the recordings again, while simultaneously reading through the transcripts in order to familiarise himself with them. Throughout this process, codes were initially applied to texts, where relevant. Afterwards, GLD proceeded to go through the transcripts again to apply codes, and double check the initial codes applied. A coding journal was used to clarify contentious quotes with KG and MM. Afterwards, all coded transcripts were independently checked by KG and MM. Any disagreements with the codes applied were discussed over two coding meetings, and subsequently resolved. Additional information on conducting the discussions is outlined in online supplementary appendix 1.

Results

The results are summarised and categorised below as subheadings according to the different themes.15 Throughout the coding process, however, a sixth theme on relationship with family and carers emerged and is presented below. As earlier discussed, stroke survivors’ perspectives on health-related aspects could be different from those of care providers, which might produce tensions8 that could undermine the success of self-management strategies39 and the technologies that support them.8 Therefore, any variations in the perspectives of stroke survivors and the clinicians are also important, and described briefly. To see more description of the health effects including example quotes, see online supplementary appendix 2.

Health-related behaviours

This section summarises the different effects that PGHD utilisation may have on health-related behaviours of stroke survivors, which were raised during the discussions (table 2). It also briefly discusses how the perspectives of stroke survivors and clinicians are similar. To see more description of the health effects including example quotes, see online supplementary appendix 2.
Table 2

Discussed person-generated health data (PGHD) utilisation effects on health-related behaviours of stroke survivors

Health-related behaviours
Stroke survivorsClinicians

Seeing their progress through their PGHD could potentially encourage them to keep going and do more of their rehabilitation exercises.

If their PGHD shows that the system is helping their recovery, they would use it more and more.

PGHD may help them know their movement mistakes, and correct themselves.

It may be important for the PGHD to be positive, as low PGHD would indicate that the system was not helping with their rehabilitation.

Low PGHD could cause survivors to be less inclined to continue using the system.

If they felt they did not perform an exercise as well as their resulting PGHD showed, they would lose confidence on the system.

A few survivors felt that PGHD would have no effect at all on their health behaviour.

Clinicians mainly anticipated that PGHD would be potentially encouraging for stroke survivors, but for slightly different reasons.

PGHD would inform survivors of how much they have exercised and increase their understanding on why they have to do the exercises.

Increased understanding could encourage them to be more complaint.

They agree that negative PGHD could be discouraging.

Discussed person-generated health data (PGHD) utilisation effects on health-related behaviours of stroke survivors Seeing their progress through their PGHD could potentially encourage them to keep going and do more of their rehabilitation exercises. If their PGHD shows that the system is helping their recovery, they would use it more and more. PGHD may help them know their movement mistakes, and correct themselves. It may be important for the PGHD to be positive, as low PGHD would indicate that the system was not helping with their rehabilitation. Low PGHD could cause survivors to be less inclined to continue using the system. If they felt they did not perform an exercise as well as their resulting PGHD showed, they would lose confidence on the system. A few survivors felt that PGHD would have no effect at all on their health behaviour. Clinicians mainly anticipated that PGHD would be potentially encouraging for stroke survivors, but for slightly different reasons. PGHD would inform survivors of how much they have exercised and increase their understanding on why they have to do the exercises. Increased understanding could encourage them to be more complaint. They agree that negative PGHD could be discouraging.

Similar perspectives

Stroke survivors and clinicians recruited through the Melbourne hospital health service reported positive and negative potential effects of PGHD use on their health behaviours. Additionally, survivors described neutral potential effects of PGHD on their health behaviours. The stroke survivor from Headway (‘Site 2 survivor’) did not have any comment relevant to the theme.

Feelings about health status

This section summarises the different effects that PGHD utilisation may have on stroke survivors’ feelings about their health status, that were raised during the discussions (table 3). It also briefly discusses how the perspectives of stroke survivors and clinicians are similar. To see more description of the health effects including example quotes, see online supplementary appendix 2.
Table 3

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ feelings about their health status

Feelings about health status
Stroke survivorsClinicians

Seeing health progress and gradual improvements makes stroke survivors feel so much better, and gives them a sense of achievement, accomplishment and satisfaction.

The site 2 survivor reported feeling more confident as a result of seeing her PGHD.

Some stroke survivors also reported potentially feeling self-awareness about their health through PGHD.

PGHD could allow them to measure levels of improvement or deterioration, and see if they are heading in the right direction.

One survivor did not think it would make them more self-aware.

PGHD could potentially raise feelings of disappointment and confusion.

If their PGHD indicates that their performance is declining, it would be discouraging and might even cause a mental health issue such as depression.

A mismatch between how they felt they performed and what their PGHD was showing could make them feel dejected.

Simply seeing percentages at the end of an exercise, as is the case with Jintronix, might also cause confusion, as it would not be clear what those percentages are measuring.

A site 1 survivor felt indifferent towards PGHD, because it is how they feel about doing their activities that matter.

PGHD could also elicit different emotions at different times.

Seeing PGHD progress might provide satisfaction for stroke survivors.

A clinician noted that survivors could have increased confidence.

Clinicians agree that simply providing percentages to survivors at the end of an exercise could cause confusion, as they may not understand whay they mean.

Clinicians think that PGHD might cause some to doubt the effectiveness of the system.

Two clinicians also thought that some survivors might feel indifferent, that it would not worry some people.

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ feelings about their health status Seeing health progress and gradual improvements makes stroke survivors feel so much better, and gives them a sense of achievement, accomplishment and satisfaction. The site 2 survivor reported feeling more confident as a result of seeing her PGHD. Some stroke survivors also reported potentially feeling self-awareness about their health through PGHD. PGHD could allow them to measure levels of improvement or deterioration, and see if they are heading in the right direction. One survivor did not think it would make them more self-aware. PGHD could potentially raise feelings of disappointment and confusion. If their PGHD indicates that their performance is declining, it would be discouraging and might even cause a mental health issue such as depression. A mismatch between how they felt they performed and what their PGHD was showing could make them feel dejected. Simply seeing percentages at the end of an exercise, as is the case with Jintronix, might also cause confusion, as it would not be clear what those percentages are measuring. A site 1 survivor felt indifferent towards PGHD, because it is how they feel about doing their activities that matter. PGHD could also elicit different emotions at different times. Seeing PGHD progress might provide satisfaction for stroke survivors. A clinician noted that survivors could have increased confidence. Clinicians agree that simply providing percentages to survivors at the end of an exercise could cause confusion, as they may not understand whay they mean. Clinicians think that PGHD might cause some to doubt the effectiveness of the system. Two clinicians also thought that some survivors might feel indifferent, that it would not worry some people. Participants reported that using PGHD could result in positive, negative and neutral effects on survivors’ feelings about their health status. These feelings were differentiated from the previous theme because they did not specifically describe actions that indicate changes in behaviour, that is, undergoing more exercises, or changing movement actions to improve performance.

New theme: relationship with family and carer/s

This section summarises the different effects that PGHD utilisation may have on stroke survivors’ relationship with their family and carer/s, that were raised during the discussions (table 4). It also briefly discusses how the perspectives of stroke survivors and clinicians are similar. To see more description of the health effects including example quotes, see online supplementary appendix 2.
Table 4

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ relationship with family and carer/s

Relationship with family and carer/s
Stroke survivorsClinicians

Site 1 survivors could potentially be compelled to share their PGHD with family to include them in their state of health.

PGHD might help with describing their therapy progress with family, as it is something visual they can show.

Sharing positive PGHD to family could be a pleasant experience.

The site 2 survivor and some site 1 survivors would not really be prompted and would not bother contacting loved ones.

Clinicians agree that stroke survivors can share PGHD with family, and could be a chance to brag about their progress.

PGHD might help older survivors connect with younger family members.

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ relationship with family and carer/s Site 1 survivors could potentially be compelled to share their PGHD with family to include them in their state of health. PGHD might help with describing their therapy progress with family, as it is something visual they can show. Sharing positive PGHD to family could be a pleasant experience. The site 2 survivor and some site 1 survivors would not really be prompted and would not bother contacting loved ones. Clinicians agree that stroke survivors can share PGHD with family, and could be a chance to brag about their progress. PGHD might help older survivors connect with younger family members. Clinicians and survivors felt that PGHD may generally have positive effects on the relationship of stroke survivors and their family.

Interest in care processes

This section summarises the different effects that PGHD utilisation may have on stroke survivors’ interest in their care processes, which were raised during the discussions (table 5). It also briefly discusses how the perspectives of stroke survivors and clinicians vary. To see more description of the health effects including example quotes, see online supplementary appendix 2.
Table 5

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ interest in their care processes

Interest in care processes
Stroke survivorsClinicians

Site 1 survivors indicated that seeing rehabilitation progress would help them know whether the system was working and that their effort was worthwhile.

Seeing their PGHD could help them understand the process they are undergoing, and see if they are improving everyday.

PGHD could be better than relying on clinician’s feedback, which could be slow and limited to what they tell survivors.

PGHD could potentially increase their interest in knowing their therapy status, as it would give them a better picture of the progress they have made, and how far they have have to go.

PGHD could help survivors with self-management of energy.

For one Site 1 survivor, PGHD does not interest them at all.

Interest may also change over time, from detailed interest to big picture, that is, whether they are improving or their treatment needs to change.

PGHD would be a form of feedback to inform survivors where they have done well, and where they need to do better.

PGHD could potentially affect site 1 survivors’ trust about their care process.

The sentiments of stroke survivors about PGHD affecting interest in the care process were strongly reinforced by the clinicians.

Stroke survivors would potentially understand their rehabilitation progress by comparing results of their exercises over time.

Clinicians believed that survivors would be more interested in how PGHD could have positively impacted achievement of their activities of daily living goals or functional activity.

Clinicians try to make their therapy goal focused, and PGHD could help survivors understand how their exercises related to their goals.

A question in the PROM-PGHD could be related to understanding the purpose of the exercise in their recovery.

A clinician felt that even if survivors did not fully understand the data, they would like to see something.

Clinicians agree that PGHD could affect survivors’ sentiments about the care they receive, that is, if they were using the system and they just stopped without the data they would wonder why they had to do the exercises in the first place.

PROM, patient-reported outcome measure.

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ interest in their care processes Site 1 survivors indicated that seeing rehabilitation progress would help them know whether the system was working and that their effort was worthwhile. Seeing their PGHD could help them understand the process they are undergoing, and see if they are improving everyday. PGHD could be better than relying on clinician’s feedback, which could be slow and limited to what they tell survivors. PGHD could potentially increase their interest in knowing their therapy status, as it would give them a better picture of the progress they have made, and how far they have have to go. PGHD could help survivors with self-management of energy. For one Site 1 survivor, PGHD does not interest them at all. Interest may also change over time, from detailed interest to big picture, that is, whether they are improving or their treatment needs to change. PGHD would be a form of feedback to inform survivors where they have done well, and where they need to do better. PGHD could potentially affect site 1 survivors’ trust about their care process. The sentiments of stroke survivors about PGHD affecting interest in the care process were strongly reinforced by the clinicians. Stroke survivors would potentially understand their rehabilitation progress by comparing results of their exercises over time. Clinicians believed that survivors would be more interested in how PGHD could have positively impacted achievement of their activities of daily living goals or functional activity. Clinicians try to make their therapy goal focused, and PGHD could help survivors understand how their exercises related to their goals. A question in the PROM-PGHD could be related to understanding the purpose of the exercise in their recovery. A clinician felt that even if survivors did not fully understand the data, they would like to see something. Clinicians agree that PGHD could affect survivors’ sentiments about the care they receive, that is, if they were using the system and they just stopped without the data they would wonder why they had to do the exercises in the first place. PROM, patient-reported outcome measure.

Varying perspectives

While clinicians largely discussed how PGHD could potentially increase stroke survivors’ interest in how their exercises contributed to their therapy progress, survivors also discussed their interest in knowing their recovery progress for self-management of energy, and in improving their movement and performance. All participant groups described interest about the care or system processes, as a result of seeing PGHD.

Personal care goals

This section summarises the different effects that PGHD utilisation may have on stroke survivors’ personal care goals, which were raised during the discussions (table 6). It also briefly discusses how the perspectives of stroke survivors and clinicians vary. To see more description of the health effects including example quotes, see online supplementary appendix 2.
Table 6

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ personal care goals

Personal care goals
Stroke survivorsClinicians

Seeing PGHD encouraged the site 2 survivor to try harder to improve the score each time.

Some site 1 survivors shared that PGHD could potentially affect them in a similar way, which they would likely want to improve their score.

Some clinicians agreed that PGHD could potentially encourage stroke survivors, to keep them striving and motivated.

A clinician felt that PGHD would not worry about their PGHD at all.

A clinician did not think that PGHD would help survivors form new goals based solely on their PGHD, without liaising with their therapist.

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ personal care goals Seeing PGHD encouraged the site 2 survivor to try harder to improve the score each time. Some site 1 survivors shared that PGHD could potentially affect them in a similar way, which they would likely want to improve their score. Some clinicians agreed that PGHD could potentially encourage stroke survivors, to keep them striving and motivated. A clinician felt that PGHD would not worry about their PGHD at all. A clinician did not think that PGHD would help survivors form new goals based solely on their PGHD, without liaising with their therapist. All participants described how PGHD could potentially motivate stroke survivors to improve their therapy performance, although one clinician perceived otherwise. Additionally, a survivor felt that PGHD might help them form new goals, although a clinician disagreed.

Relationship with care provider/s

This section summarises the different effects that PGHD utilisation may have on stroke survivors’ relationship with their care provider/s, which were raised during the discussions (table 7). It also briefly discusses how the perspectives of stroke survivors and clinicians vary. To see more description of the health effects including example quotes, see online supplementary appendix 2.
Table 7

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ relationship with their care provider/s

Personal care goals
Relationship with care provider/sClinicians

After seeing her PGHD, the site 2 survivor was prompted to ask her therapist, to ask what she could do better.

Most site 1 survivors agree that PGHD could potentially prompt them to contact their clinician, especially if it is at odds to how they think they are performing.

Interestingly, if their PGHD is better than how they felt they did, it could potentially prompt them to tell their clinician that the results are not quite right.

For one survivor, seeing PGHD would not be the instigator of seeking more help.

There was also some interest with what happens to their PGHD, that is, what it is going to be used for.

Another survivor would be prompted to ask their therapist if they are making progress.

Clinicians agreed that stroke survivors would potentially be prompted to contact them if they did badly, to ask how they can improve.

Some clinicians also agreed that survivors would ask for more explanation about how the scores were calculated, and how their PGHD relates to their progress.

Some clinicians felt that if survivors know their PGHD, it might stimulate them to be more compliant as it promotes accountability, like doing homework.

Discussed person-generated health data (PGHD) utilisation effects on stroke survivors’ relationship with their care provider/s After seeing her PGHD, the site 2 survivor was prompted to ask her therapist, to ask what she could do better. Most site 1 survivors agree that PGHD could potentially prompt them to contact their clinician, especially if it is at odds to how they think they are performing. Interestingly, if their PGHD is better than how they felt they did, it could potentially prompt them to tell their clinician that the results are not quite right. For one survivor, seeing PGHD would not be the instigator of seeking more help. There was also some interest with what happens to their PGHD, that is, what it is going to be used for. Another survivor would be prompted to ask their therapist if they are making progress. Clinicians agreed that stroke survivors would potentially be prompted to contact them if they did badly, to ask how they can improve. Some clinicians also agreed that survivors would ask for more explanation about how the scores were calculated, and how their PGHD relates to their progress. Some clinicians felt that if survivors know their PGHD, it might stimulate them to be more compliant as it promotes accountability, like doing homework. Clinicians and stroke survivors agreed that PGHD could potentially prompt survivors to contact their therapists to ask what they could do better. However, while clinicians shared that PGHD will need to be discussed with survivors to help them understand, survivors stressed that they would want to see their PGHD regardless, and may even be prompted to ask their therapists what happens to the PGHD they produce. Additionally, some survivors may be prompted to ask what their therapists are doing incorrectly with regards to the treatment they receive, and whether their therapists are happy with their progress.

Discussion

This study is the first to gather and compare the perspectives of stroke survivors and clinicians, in order to develop a PROM-PGHD for a simulated rehabilitation system. The perceived PGHD potential outcomes described by site 1 survivors who received a demonstration of Jintronix were mostly similar to those reported by the site 2 survivor, who has used Jintronix in a real-life, voluntary, outpatient setting. Moreover, as earlier described, this paper is part of a larger study, and there were significant parallels to the results of this study to the experiences of stroke survivors who have used Jintronix for 8 weeks in a Randomised Controlled Trial, reported previously.13 This indicates that the technology demonstration provided to the site 1 cohort, coupled with their lived experience with stroke, was a valuable way of gathering perspectives about the potential effects of PGHD utilisation. Stroke survivors and clinicians had varying perspectives in three of the six themes presented. This puts emphasis on the importance of allowing stroke survivors to participate in the evaluation of digital health services. Consideration of how their perspectives differ with that of clinicians has relevance to the success of patient self-management strategies,39 and to the design and evaluation of PGHD technologies.8 44 The findings show that stroke survivors are interested in their PGHD to better self-manage their energy during therapy, something that clinicians did not raise in the discussions. Moreover, while clinicians expect survivors to contact them in order to understand how their PGHD relates to their therapy, survivors would prefer to have the opportunity to understand it for themselves. Stroke survivors would prefer to have access to all of their PGHD, so that their therapy process is open and transparent. This highlights the differences that patients and clinicians could have in their understanding of self-management strategies, which could lead to conflicting expectations in the roles that patients and their clinicians have of each other.39 Interestingly, while it has been suggested that clinicians valued functional or physical movement outcomes more than patient gains in ADL,40 the clinicians we spoke to understood that survivors personally valued how their therapy contributed to an improved performance of ADL. As such, they seek to tailor their therapy based on the ADL goals of their clients. This indicates that while patients and clinicians may indeed have varying perspectives,39 the potential for tensions to occur between the needs and preferences of patients and their care providers8 could be reduced through a similar understanding of health treatment goals. This paper has further demonstrated that outcomes of utilising PGHD can be measured.13 For instance, stroke survivors described that using PGHD could result in positive, negative and nil effects on their health behaviours. PGHD use also has the potential to increase feelings of self-awareness about their health. Additionally, the potential for survivors’ interest to change over time from detailed PGHD towards a big picture view, that is, whether they are improving or their treatment needs to change, is indicative of the fact that a ‘one size fits all’ approach to HIT design will not be beneficial.35 The reported PGHD utilisation outcomes would directly inform the development of a PROM-PGHD for K-SRS, of which this paper is a key step.15 16 For example, it might be necessary to remove or revise items that sounded negative, for example, ‘I felt blue or sad’. Such items may evoke negative thoughts or feelings from survivors and may thus pose a risk. Items that asked survivors if they felt sad or pessimistic could be revised to ask, using a scale, to what extent they felt happy or not happy. The process of revising the preliminary PROM-PGHD is step 5 in the development process, and is fully reported elsewhere. The PGHD utilisation outcomes gathered in this study could also help inform healthcare providers on decisions about stroke care, for example, understanding which health outcomes are personally important for stroke survivors, and how survivors can be motivated to perform their exercises for the long term.33 34 This is particularly relevant in the area of poststroke simulated rehabilitation technologies, where there is a dearth of studies that engage survivors in their own healthcare.2

Limitations

While FB comoderated some of the discussions, most were moderated by GLD. This introduces the risk of eliciting a narrower array of themes and ideas; however, an advantage to this method is that the chance of thematic saturation is increased, as GLD learnt relevant themes as the discussions progressed19; and meant that the moderation of the discussions was consistent. It should also be noted that in our sample, only the participant from Headway had voluntarily used the case K-SRS in an outpatient setting. However, that person’s perspectives were similar to the site 1 survivors, indicating that the technology demonstration provided to the site 1 cohort, coupled with their lived experience with stroke was a valuable way of gathering perspectives about the potential effects of PGHD utilisation. This highlights the strength of qualitative data collection activities in identifying patient-reported outcomes of a health domain of interest.19 Moreover, our sample, recruited for convenience, and consisting of stroke survivors who had no significant residual visual, verbal or cognitive impairments is not representative, nor was it ever meant to represent all stroke survivors; it was meant to elicit the input of stroke survivors to guide the development of the PROM-PGHD, which will be further refined and validated.23

Conclusion

This paper has described how utilisation of PGHD from a key K-SRS may affect health outcomes of stroke survivors, in the words of survivors themselves and concerned clinicians. It has confirmed that perspectives of patients and clinicians may vary, emphasising the necessity of using participatory methods in the design, development and evaluation of HITs. The findings have direct implications for the development of a PROM-PGHD for K-SRS, which will be further refined and validated.
  36 in total

1.  Reporting qualitative research in health informatics: REQ-HI recommendations.

Authors:  Zahra Niazkhani; Habibollah Pirnejad; Jos Aarts; Samantha Adams; Roland Bal
Journal:  Stud Health Technol Inform       Date:  2011

2.  Five key strategic priorities of integrating patient generated health data into United Kingdom electronic health records.

Authors:  Kathrin Cresswell; Brian McKinstry; Maria Wolters; Anoop Shah; Aziz Sheikh
Journal:  J Innov Health Inform       Date:  2019-01-04

3.  Methods for Developing Patient-Reported Outcome-Based Performance Measures (PRO-PMs).

Authors:  Ethan Basch; John Spertus; R Adams Dudley; Albert Wu; Cynthia Chuahan; Perry Cohen; Mary Lou Smith; Nick Black; Amaris Crawford; Keri Christensen; Kathleen Blake; Christine Goertz
Journal:  Value Health       Date:  2015-05-21       Impact factor: 5.725

4.  Patient generated health data use in clinical practice: A systematic review.

Authors:  George Demiris; Sarah J Iribarren; Katherine Sward; Solim Lee; Rumei Yang
Journal:  Nurs Outlook       Date:  2019-04-26       Impact factor: 3.250

5.  Patient-Reported Outcomes of Utilising Person-Generated Health Data in Simulated Rehabilitation Technology: Perceptions of Stroke Survivors.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  Stud Health Technol Inform       Date:  2019-08-21

6.  The use of focus groups in the development of the PROMIS pediatrics item bank.

Authors:  Tasanee R Walsh; Debra E Irwin; Andrea Meier; James W Varni; Darren A DeWalt
Journal:  Qual Life Res       Date:  2008-04-22       Impact factor: 4.147

7.  Virtual reality therapy for adults post-stroke: a systematic review and meta-analysis exploring virtual environments and commercial games in therapy.

Authors:  Keith R Lohse; Courtney G E Hilderman; Katharine L Cheung; Sandy Tatla; H F Machiel Van der Loos
Journal:  PLoS One       Date:  2014-03-28       Impact factor: 3.240

8.  Self-management develops through doing of everyday activities-a longitudinal qualitative study of stroke survivors during two years post-stroke.

Authors:  Ton Satink; Staffan Josephsson; Jana Zajec; Edith H C Cup; Bert J M de Swart; Maria W G Nijhuis-van der Sanden
Journal:  BMC Neurol       Date:  2016-11-15       Impact factor: 2.474

Review 9.  Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  JMIR Rehabil Assist Technol       Date:  2018-05-08

10.  Exploring stroke survivors' and physiotherapists' views of self-management after stroke: a qualitative study in the UK.

Authors:  Euan Sadler; Charles D A Wolfe; Fiona Jones; Christopher McKevitt
Journal:  BMJ Open       Date:  2017-03-10       Impact factor: 2.692

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