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Article

Acceptability of a Patient Portal (Opal) in HIV Clinical Care: A Feasibility Study

by
Dominic Chu
1,2,
Tibor Schuster
1,
David Lessard
2,3,4,
Kedar Mate
2,3,
Kim Engler
2,3,4,
Yuanchao Ma
2,3,4,
Ayoub Abulkhir
1,2,
Anish Arora
1,2,
Stephanie Long
1,2,
Alexandra de Pokomandy
1,3,4,
Karine Lacombe
5,
Hayette Rougier
5,6,
Joseph Cox
2,3,4,
Nadine Kronfli
1,3,4,
Tarek Hijal
7,
John Kildea
8,
Jean-Pierre Routy
4,
Jamil Asselah
7 and
Bertrand Lebouché
1,2,3,4,*
1
Department of Family Medicine, McGill University, Montreal, QC H3S 1Z1, Canada
2
Canadian Institutes of Health Research Strategy for Patient-Oriented Research Mentorship Chair in Innovative Clinical Trials in HIV, Montreal, QC K1A 0W9, Canada
3
Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3S9, Canada
4
Chronic and Viral Illness Service, Division of Infectious Disease, McGill University Health Centre, Montreal, QC H4A 3J1, Canada
5
AP-HP, Hôpital Saint-Antoine, Service des Maladies Infectieuses et Tropicales, 75012 Paris, France
6
IMEA, Institut de Médecine et d’Epidémiologie Appliquée, F75018 Paris, France
7
Department of Radiation Oncology, Cedars Cancer Centre, McGill University Health Centre, Montreal, QC H4A 3J1, Canada
8
Medical Physics Unit, Gerald Bronfman Department of Oncology, McGill University, Montreal, QC H4A 3T2, Canada
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2021, 11(2), 134; https://doi.org/10.3390/jpm11020134
Submission received: 22 December 2020 / Revised: 30 January 2021 / Accepted: 11 February 2021 / Published: 16 February 2021

Abstract

:
Opal (opalmedapps.com), a patient portal in use at the Cedars Cancer Centre of the McGill University Health Centre (MUHC) (Montreal, Canada), gives cancer patients access to their medical records, collects information on patient-reported outcome measures (PROMs), and has demonstrated patient satisfaction with care. This feasibility study aims to evaluate Opal’s potential acceptability in the context of HIV care. People living with HIV (PLWH) and their healthcare providers (HCPs) completed cross-sectional surveys from August 2019 to February 2020 at large HIV centers, including the Chronic Viral Illness Service of the MUHC, and other HIV clinical sites in Montreal and Paris, France. This study comprised 114 PLWH (mean age 48 years old, SD = 12.4), including 74% men, 24% women, and 2% transgender or other; and 31 HCPs (mean age 46.5 years old, SD = 11.4), including 32% men, 65% women, and 3% other. Ownership of smartphones and tablets was high (93% PLWH, 96% HCPs), and participants were willing to use Opal (74% PLWH, 68% HCPs). Participants were interested in most Opal functions and PROMs, particularly PROMs capturing quality of life (89% PLWH, 77% HCPs), experience of healthcare (86% PLWH, 97% HCPs), and HIV self-management (92% PLWH, 97% HCPs). This study suggests Opal has high acceptability and potential usefulness as perceived by PLWH and HCPs.

1. Introduction

Human immunodeficiency virus (HIV), like other chronic conditions, requires consistent, long-term self-management by people living with HIV (PLWH), including engagement in care and adherence to antiretroviral therapy (ART) [1]. Increasing age, co-morbidities, and disabilities can increase the burden on PLWH and their multidisciplinary healthcare providers (HCPs) [2,3]. Additionally, PLWH may have experienced diverse psychosocial issues such as depression (34–42% of PLWH on ART), anxiety (21–40%), stigma or discrimination (42–83%), as well as unemployment, and limited formal education [2,4]. In turn, these factors can negatively affect access to and engagement in care as well as ART uptake [2,3,5].
To better support PLWH and their HCPs in the management of HIV, a promising solution is a patient portal, which is an extension of the electronic medical record system that provides patients secure access to their lab results, progress notes, and appointment schedules [6]. Patient portals can also include features to enhance communication with HCPs (e.g., text messaging), facilitate treatment access (e.g., medication refill request processing), and provide appointment or medication reminders. The functionalities and services of patient portals are relevant for clinical practice, as they have been reported to empower patients, improve engagement in care, and allow patients to make shared informed decisions with their HCPs [6,7,8,9,10,11,12,13,14,15,16,17]. Moreover, some patient portals allow for convenient electronic administration of patient-reported outcome measures (PROMs) [11,18], which provide health information from the patients’ perspective without revision or interpretation by a clinician [19]. PROMs can improve the clinical management of symptoms, side-effects, adherence, and psychosocial needs, among others [20,21], and are thus relevant in the context of HIV chronic care [2,10,22].
Opal (opalmedapps.com), an innovative and award-winning person-centered portal, was first piloted in 2018 at the Cedars Cancer Centre of the McGill University Health Centre (MUHC) [6]. The patient-facing component of Opal is a smartphone application that offers patients access to their personal health information (including clinical notes and laboratory test results) and appointment schedules. Opal also offers additional functions that promote self-management, including personalized educational material tailored to diagnosis and stage of treatment, and administration of PROMs. Opal is unique given that it was designed through a participatory stakeholder co-design approach; patients and HCPs were engaged in all stages of Opal’s development. In fact, it was a breast cancer patient and a McGill University computer science professor, the late Laurie Hendren, who identified the needs of patients that spurred the development of Opal [23]. Our goal is to adapt Opal to HIV care, as there is currently no HIV-specific patient portal in Canada.
Opal was designed with oncology patients and thus may not be directly transferable to other health conditions, such as HIV. Oncology and HIV care are two medical specialties that differ greatly in terms of affected populations, treatments, and care providers involved. A lack of stakeholder involvement was a central reason for the failure of other early patient portals [12,24,25]. To ensure Opal’s uptake in HIV care [13], consistent with the approach initiated in oncology, HIV-specific stakeholder input was essential before offering Opal to PLWH [26]. The research question for this feasibility study was “How acceptable is the Opal patient portal for users in HIV care (i.e., PLWH and HCPs)?” This study also aimed to assess: 1) the experience of PLWH and HCPs with healthcare applications and smart device ownership, 2) PLWH and HCPs’ interest in Opal and their preferences for sharing personal health information, 3) the anticipated benefits and inconveniences of Opal, and 4) PLWH and HCPs’ interest in different Opal PROMs.

2. Materials and Methods

2.1. Study Design

This feasibility study employed a cross-sectional design. Feasibility studies that do not pilot aspects of an intervention or study methodology, as is the case here, attempt to answer questions about whether some aspect of a future trial is achievable [26]. This can include determining the acceptability of an intervention or the perceived importance of types of outcomes [26], which were among our objectives. Acceptability can be considered as the agreeable or interested views of stakeholders towards a specified innovation, such as Opal and its functions [27].
This study was conducted as part of a broader research program (the I-Score program) with sites in Canada and France aimed at improving ART adherence among PLWH using electronically administered PROMs [28]. In the HIV context, Opal will first be implemented in a pilot study at the Chronic Viral Illness Service (CVIS), one of the largest public hospital-based HIV clinics in Quebec, Canada, which provides comprehensive multidisciplinary care to over 1600 PLWH. Subsequently, our goal is to implement Opal across Montreal, Quebec, and in France as well; therefore, we have recruited participants from other Montreal-based HIV clinics and Hôpital Saint-Antoine (Paris, France).

2.2. Study Sites

Recruitment focused on the CVIS. However, Opal is expected to be eventually implemented in other urban HIV care centers in Montreal and Paris; therefore, some PLWH and HCPs were recruited from Service de Maladies Infectieuses et Tropicales (SMIT) at Hôpital Saint-Antoine. HCPs were also recruited from Montreal-based non-CVIS sites specializing in HIV care, including the Centre Hospitalier de l’Université de Montréal, Clinique Médicale du Quartier Latin, and Clinique Médicale l’Actuel. Research ethics approval was obtained from the MUHC Research Ethics Board (study number: 2020-5910). Approval was obtained from the research ethics board of the Research Institute of the McGill University Health Centre, in Montreal, Canada, where two co-investigators are based. According to French public health legislation [29], no ethical approval was needed in France. A confidentiality and data transfer agreement was signed between l’Assistance Publique-Hôpitaux de Paris (AP-HP) at the Hôpital Saint-Antoine and the MUHC; thus, a separate REB for Hôpital Saint-Antoine was not required. Our study also meets the standards set by the Declaration of Helsinki.

2.3. Study Design and Participant Eligibility

Convenience sampling was used to recruit PLWH. To be included in the study, PLWH had to be over 18 years of age and receiving care for HIV, with no self-reported cognitive impairments. PLWH were recruited by referral from their HCPs during regular clinical appointments. The principal investigator recruited HCPs with at least 6 months of clinical experience in HIV care with purposeful sampling through personal invitation. HCPs included individuals who would be expected to use Opal to facilitate HIV care, comprising physicians, pharmacists, nurses, social workers, and administrative staff.

2.4. Data Collection

Data were collected from August 2019 to February 2020. Two distinct surveys for PLWH and HCPs were developed to address each objective using validated tools from the literature [6,27,30,31,32,33].
The PLWH survey (73 items) (Document S1) captured demographics and addressed our first objective, by measuring smart device use and healthcare technology self-efficacy [33]; our second objective, by evaluating interest in Opal’s functions and preferences for sharing personal health information [6,27,32]; our third objective, by collecting data on the anticipated impact of accessing physicians’ clinical notes [31]; and our fourth objective, by acquiring PLWH’s interest in different HIV-specific PROMs [27,30,32]. The survey for HCPs (55 items) (Document S2) was shorter. It documented their demographic characteristics and addressed our first objective, by collecting information on their perspective on smart device use, healthcare applications, and self-efficacy [33]; our second objective, by capturing interest in Opal’s functions [6,27,32]; our third objective, by assessing the anticipated impact of PLWH access to physicians’ clinical notes [31] and the anticipated compatibility of Opal with their work [34]; and our fourth objective, by measuring interest in different types of HIV-specific PROMs [27,30,32].
Item response options included multiple choice and 5 to 7-point Likert scales. For items with 5 or 6-point Likert scales, responses were collapsed into three categories: “not at all interested” and “not interested” were combined as “not interested”; neutral responses “I don’t know” and/or “undecided” (6-point Likert scales included both responses) were classified as “undecided”; while positive responses “a little interested” and “very interested” were classified as “interested”. For items with a 7-point Likert scale, responses were collapsed into three categories: negative responses (“completely disagree”, “disagree”, and “somewhat disagree”) were classified as “disagree”; the neutral response (“undecided”) remained as “undecided”; and positive responses (“agree”, “somewhat agree”, and “completely agree”) were classified as “agree”.
Participants were provided an in-person 5-minute PowerPoint presentation on Opal’s main functions (Presentation S1) and were offered a chance to ask questions to ensure participants fully understood how Opal may fit into their care or work. HCPs were also introduced to how Opal could be used in their work to support their management of PLWH, for example, through using a clinic check-in system, or integrating data from PROMs into the clinical encounter. HCPs had also participated in focus group discussions prior to completing their surveys; however, results from the focus groups will be presented separately. A researcher administered the in-person survey to PLWH electronically, by presenting PLWH with each item and their possible responses before recording each answer, while HCPs completed a paper survey. Data were then entered into a secure online platform, REDCap© (version 9.1.15, Vanderbilt University, Nashville, TX, USA), which facilitated ease of administration and storage of data [35,36].

2.5. Statistical Analysis

Descriptive analysis was performed using R statistical software (version 1.2, R Foundation for Statistical Computing, Vienna, WIEN, Austria) [37]. The distribution of continuous variables was described by their means, standard deviations, and ranges; for categorical variables, relative frequencies were reported. To express uncertainty in estimates of proportions, 95% confidence intervals were reported.

3. Results

3.1. Sample Characteristics

Table 1 shows the characteristics of the PLWH and HCP participants. PLWH (n = 114) included 86 men (74%), 28 women (24%), and 2% identified as transgender or “other”. A total of 106 (93%) PLWH were recruited from the CVIS (Montreal), while 8 (7%) were from SMIT (Paris). CVIS clinic population data from 2019 shows that of the 1679 registered PLWH, 63% were men and 37% were women. Their mean age was 51.2 years old (SD = 12.7), compared with 47.8 (SD = 12.4) in the present study sample.
HCPs’ (n = 31) mean age was 46.5 years old (SD = 11.4). They included 20 women (65%) and 10 men (32%). Of the HCPs recruited, 16 (52%) were from the CVIS (Montreal), 8 (26%) were from non-CVIS Montreal sites, and 7 (22%) from SMIT (Paris).

3.2. Smart Device Ownership and Experience and Comfort Using Healthcare Applications

Overall, 96% of PLWH and 100% of HCPs owned at least one type of smart device, including computers (desktops or laptops), smartphones, and/or tablets. These three devices are capable of operating Opal, although the patient-facing side of Opal can be operated through smartphones and tablets only. PLWH still demonstrated high ownership (93%) when accounting for only these two devices; however, smartphone and tablet use for PLWH above 50 years old was lower (85%).
There were 82% of PLWH and 61% of HCPs who indicated very little to no experience using healthcare applications, including any applications targeted towards improving user health (for example, other patient portals, calorie counters, step counters, etc.); however, 74% of PLWH were willing to use Opal, and 68% of HCPs were willing to use Opal in their work to support the management of PLWH. For HCPs, this would entail using Opal to facilitate HIV care. Of those willing to use Opal, 80% of PLWH and 60% of HCPs reported very little to no experience with healthcare applications. With Opal, 61% of PLWH wanted immediate and comprehensive access to their medical records, while 25% preferred to only access information after review with their HCPs (see Table 2).
Most participants reported the capacity to use healthcare applications (90% PLWH, 90% HCPs), indicating PLWH’s ability to access smart devices and operate their healthcare applications. Of the 10 PLWH who did not agree they could use healthcare applications, three were over the age of 50 years. Among the three HCPs who did not feel capable of using healthcare applications, two were over 50 years old.
Additionally, the proposed Opal patient portal was perceived as appealing by most participants (90% PLWH, 97% HCPs), and was met with approval by 89% of PLWH and 87% of HCPs.

3.3. Interest in Opal Functions and Preferences for Sharing Personal Health Information

The Opal functions that most interested the two groups included the appointment schedule (94% PLWH, 97% HCPs), user account and password (92% PLWH, 74% HCPs), and notifications and reminders (92% PLWH, 87% HCPs) (see Figure 1). Among the functions deemed more useful by HCPs than PLWH were a navigational tool (63% PLWH, 87% HCPs) and text messaging (62% PLWH, 77% HCPs). Compared to PLWH, HCPs were less interested in functions for PLWH to access treatment plans (89% PLWH, 64% HCPs), access consultation notes (85% PLWH, 39% HCPs), and share consultation notes (85% PLWH, 52% HCPs).
Using the Opal patient portal, PLWH would have the option to share their personal health information. PLWH were most comfortable sharing their HIV health data with their primary HIV healthcare provider (96%, 95% CI = 90, 99), followed by pharmacists (75%, 95% CI = 66,83) and other HIV specialists at their clinic (75%, 95% CI = 66, 83) (see Figure 2). However, PLWH were more reluctant to share information with public health (45%, 95% CI = 35, 54) and health insurers (36%, 95% CI = 27, 45).

3.4. Anticipated Benefits and Inconveniences of Opal

Most PLWH believed Opal could provide various benefits, including better preparing themselves for clinical visits (89%, 95% CI = 82, 94), remembering their HIV care plan (87%, 95% CI = 79, 92), and feeling more in control of their healthcare (87%, 95% CI = 79, 92) (see Figure 3). However, nearly one-third of PLWH (36%, 95% CI = 27,45) had no concerns about their privacy if using the Opal patient portal.
As for HCPs, almost two-thirds of physicians (62%) were worried PLWH would contact them with questions about consultation notes, nearly half (46%) of physicians had concerns PLWH may find significant errors in their consultation notes, and 46% of physicians were concerned PLWH would request changes to their consultation notes. Lastly, approximately two-thirds (64%) of all HCPs thought Opal would fit into the way they work.

3.5. Interest in Different Patient-Reported Outcome Measures

At least 60% of all participants were interested in each of the PROM types evaluated (see Figure 4), particularly those regarding the experience of healthcare (96% PLWH, 97% HCPs), HIV self-management (92% PLWH, 97% HCPs), and the experience of treatment (90% PLWH, 90% HCPs). The PROM types of least interest were body and facial appearance (68% PLWH, 62% HCPs) and disability (62% PLWH, 81% HCPs).

4. Discussion

This study sought to ascertain the feasibility of using the Opal patient portal in HIV care with key stakeholder input obtained through a cross-sectional survey. These results highlight a high prevalence of smart device ownership, interest in using Opal, acceptability of most Opal portal functions, several perceived benefits and inconveniences of Opal, and acceptability of most PROMs. Considering these results, Opal may be feasible for use in HIV care.

4.1. Smart Device Ownership, Experience with Healthcare Applications, and Health Info Preferences

Critical to implementing a patient portal is the consideration of factors such as user access to smart devices, experience with healthcare applications, and willingness to use a patient portal [38,39,40,41,42]. Our sample revealed a high use of smart devices, through which participants could access Opal, across all age groups for all participants. However, the uptake of and access to smartphones or tablets was relatively lower in age groups above 50 years (85% of PLWH) compared to younger age groups, which corroborates prior studies noting lower access to and uptake of patient portals with older age [40,41]. The mean age of the entire CVIS clinic is also above 50 years old and may affect the overall uptake of Opal. Additionally, most participants had limited healthcare application experience, although this did not reduce participants’ interest in using the patient portal. Among PLWH, this interest is encouraging; however, given participants’ limited healthcare application experience, clinician leadership and promotion of Opal are important considerations in facilitating its uptake [12].
Interestingly, the proportion of PLWH preferring immediate access to medical records and Opal access after physician review were similar to the preferences of oncology patients in the initial Opal study [6]. It is important to consider Opal’s initial success in oncology care, which utilized a patient-centered approach where patients could choose their preferred level of access to personal health information. Given the varying preferences for access to personal health information in the HIV care context, it would be imperative to offer PLWH the option to choose their preferred level of access to personal health information during end-user testing to optimize PLWH uptake and satisfaction with Opal. Overall, most participants perceived Opal to be appealing. However, there was a difference between PLWH who would welcome Opal (89%), versus PLWH who were willing to use the patient portal (74%). This may be explained by PLWH who commented that although they may not use Opal themselves, other PLWH may benefit from using such a portal, and thus, they would still welcome Opal.

4.2. Interest in Opal’s Functions

PLWH were interested in most proposed Opal functions including access to their treatment plan, consultation notes, and sharing consultation notes; however, HCPs were less receptive to these functions. These concerns mirror those reported in prior literature; specifically, HCPs worry that their workload will increase due to an influx of PLWH messages or phone calls with these types of portal functions [43]. However, other studies that examined actual patient portal usage showed that allowing access to consultation notes through patient portals does not increase clinician workload, and in some cases, it even decreases the need for telephone calls and may reduce unnecessary appointments [44,45].

4.3. Anticipated Benefits and Inconveniences of Opal

Patient portals are reported to be useful for monitoring the health of PLWH, as they could meet the changing needs and expectations of PLWH [46,47]. The anticipated benefits of Opal for PLWH, such as allowing for better clinic visit preparation and understanding of their HIV diagnosis, are consistent with these observations [46]. Despite the many anticipated benefits of using Opal, there were concerns as well. Opal raised privacy issues for many PLHW surveyed, which is congruent with prior literature citing concerns with data security theft, confidentiality, privacy, and HIV-related stigma as barriers to patient portal use and implementation [12,43,47,48,49,50,51,52].

4.4. Interest in Different Types of PROMs

Participants’ interest in types of PROMs [30] demonstrates the various topics and issues they prefer to discuss, particularly PLWH-perceived experiences of healthcare, symptoms, psychological challenges, and social support. PROMs capturing body and facial appearance received the least amount of interest amongst all participants, as some PLWH have not been exposed to the complications of outdated ART regimens. Additionally, PROMs capturing disability received less interest from PLWH compared to HCPs. Interestingly, compared to HCPs, PLWH showed less interest in PROMs related to psychological challenges and resources, as well as to HIV-related stigma, despite their well-documented prevalence among PLWH [53].

4.5. Limitations

A limitation of this feasibility study is the oversampling of male participants. Nevertheless, this is congruent with the predominantly male (63%) population of the CVIS clinic population, where most participants were recruited. In addition, there was a lack of equivalent participant recruitment from all sites to allow for site-to-site comparison; however, our goal was to implement Opal at the CVIS first, therefore recruitment was predominantly from the CVIS. Additionally, our use of convenience sampling of PLWH may result in volunteer bias and social desirability bias, while purposeful sampling of HCPs may have led to a sampling bias. However, our sampling of HCPs was intended to include a variety of HIV-related healthcare specialists in terms of role and expertise.
Lastly, the participant sample from France is limited. Still, we aim to utilize this data to inform an upcoming Opal pilot in France. Moreover, our team conducted concurrent focus group discussions in Montreal and France that revealed congruent results. For these two reasons, we decided to include the data from the two focus groups conducted in France.

4.6. Future Considerations

Understanding the feasibility of using a patient portal and the needs of PLWH and their HCPs was an initial step prior to piloting the implementation of Opal in HIV clinical care. We will continue engaging with key stakeholders to optimize the Opal patient portal for pilot development and testing. To optimize Opal for use in HIV care, we will discuss further design considerations with stakeholders that could optimize portal uptake, utility, and usability.

5. Conclusions

This study assessing the feasibility of adapting Opal to HIV care revealed several considerations for using a patient portal for PLWH and their HCPs, primarily for a large HIV clinic such as the CVIS. The results obtained suggest that Opal’s implementation at the CVIS is feasible, considering the high rate of smart device ownership, comfort with using healthcare applications, anticipated benefits of using Opal, and interest in most Opal functions and proposed PROMs. Opal may personalize HIV care by incorporating PROMs and functions that are important to PLWH, while maintaining a secure and confidential platform. By consulting key stakeholders, who will eventually be end-users of Opal, this study may also offer insight into a framework for future patient portal adaptations from one specialty to another.

Supplementary Materials

The following are available online at https://www.mdpi.com/2075-4426/11/2/134/s1. Document S1, survey for PLWH administered through REDCap©; Document S2, survey for HCPs administered through a paper survey and transferred to REDCap©; and Presentation S1, PowerPoint presentation of Opal functions presented to all participants.

Author Contributions

Conceptualization, B.L.; methodology, D.L. and B.L.; formal analysis, D.C., K.M., and T.S.; investigation, D.C., D.L., Y.M., A.A. (Ayoub Abulkhir), A.A. (Anish Arora), and S.L.; resources, B.L., N.K., J.C., A.d.P., H.R., K.L., and J.-P.R.; data curation, D.C. and D.L; writing–original draft preparation, D.C.; writing–review and editing, B.L., D.L., K.E., K.M., T.S., Y.M., A.A. (Ayoub Abulkhir), A.A. (Anish Arora), S.L., A.d.P., K.L., J.C., N.K., T.H., J.K., J.-P.R., J.A., H.R., and D.C.; visualization, D.C., K.M., and T.S.; supervision, B.L. and T.S.; project administration, B.L. and D.L.; funding acquisition, B.L. All authors have read and agreed to the published version of the manuscript.

Funding

This project was generously supported by the Canadian Institutes for Health Research (CIHR), Strategy for Patient-Oriented Research (SPOR) Mentorship Chair in Innovative Clinical Trials in HIV; the McGill Methodological Development Platform of Québec’s SPOR-SUPPORT Unit; as well as an unrestrictive grant from Assistance Publique-Hôpitaux de Paris Fondation and MSD Avenir Foundation and Merck. B.L. is supported by a career award LE 250 from Quebec’s Ministry of Health for researchers in family medicine. D.C. is supported by the Canadian Institutes of Health Research (CIHR) Canada Graduate Scholarships-Master’s program. N.K. is supported by a career award from the Fonds de Recherche Québec–Santé (FRQ-S), Junior 1.

Institutional Review Board Statement

Research ethics approval was obtained from the MUHC Research Ethics Board (study number: 2020-5910). Approval was obtained from the research ethics board of the Research Institute of the McGill University Health Centre, in Montreal, Canada, where two co-investigators are based. According to French public health legislation [29], no ethical approval was needed in France. A confidentiality and data transfer agreement was signed between l’Assistance Publique-Hôpitaux de Paris (AP-HP) at the Hôpital Saint-Antoine and the MUHC; thus, a separate REB for Hôpital Saint-Antoine was not required. Our study was conducted according to the guidelines set by the Declaration of Helsinki.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data sharing is not applicable to this article.

Acknowledgments

Special thanks to the administrative staff, social workers, and nurses at the CVIS for their help in facilitating this research.

Conflicts of Interest

All authors declare no conflict of interest.

References

  1. Goodman, R.A.; Posner, S.F.; Huang, E.S.; Parekh, A.K.; Koh, H.K. Defining and measuring chronic conditions: Imperatives for research, policy, program, and practice. Prev. Chronic Dis. 2013, 10, E66. [Google Scholar] [CrossRef] [Green Version]
  2. Lowther, K.; Selman, L.; Harding, R.; Higginson, I.J. Experience of persistent psychological symptoms and perceived stigma among people with HIV on antiretroviral therapy (ART): A systematic review. Int. J. Nurs. Stud. 2014, 51, 1171–1189. [Google Scholar] [CrossRef] [PubMed]
  3. Engler, K.; Lenart, A.; Lessard, D.; Toupin, I.; Lebouche, B. Barriers to antiretroviral therapy adherence in developed countries: A qualitative synthesis to develop a conceptual framework for a new patient-reported outcome measure. AIDS Care 2018, 30, 17–28. [Google Scholar] [CrossRef]
  4. Mills, E.J.; Nachega, J.B.; Buchan, I.; Orbinski, J.; Attaran, A.; Singh, S.; Rachlis, B.; Wu, P.; Cooper, C.; Thabane, L.; et al. Adherence to antiretroviral therapy in sub-Saharan Africa and North America: A meta-analysis. JAMA 2006, 296, 679–690. [Google Scholar] [CrossRef]
  5. Lessard, D.; Toupin, I.; Engler, K.; Lenart, A.; Team, I.S.C.; Lebouche, B. HIV-Positive Patients’ Perceptions of Antiretroviral Therapy Adherence in Relation to Subjective Time: Imprinting, Domino Effects, and Future Shadowing. J. Int. Assoc. Provid. AIDS Care 2018, 17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Kildea, J.; Battista, J.; Cabral, B.; Hendren, L.; Herrera, D.; Hijal, T.; Joseph, A. Design and Development of a Person-Centered Patient Portal Using Participatory Stakeholder Co-Design. J. Med. Internet Res. 2019, 21, e11371. [Google Scholar] [CrossRef]
  7. Williams, E.C.; Achtmeyer, C.E.; Thomas, R.M.; Grossbard, J.R.; Lapham, G.T.; Chavez, L.J.; Ludman, E.J.; Berger, D.; Bradley, K.A. Factors Underlying Quality Problems with Alcohol Screening Prompted by a Clinical Reminder in Primary Care: A Multi-site Qualitative Study. J. Gen. Intern Med. 2015, 30, 1125–1132. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Johnson, M.; Jackson, R.; Guillaume, L.; Meier, P.; Goyder, E. Barriers and facilitators to implementing screening and brief intervention for alcohol misuse: A systematic review of qualitative evidence. J. Public Health 2010, 33, 412–421. [Google Scholar] [CrossRef] [Green Version]
  9. Oster, N.V.; Jackson, S.L.; Dhanireddy, S.; Mejilla, R.; Ralston, J.D.; Leveille, S.; Delbanco, T.; Walker, J.D.; Bell, S.K.; Elmore, J.G. Patient Access to Online Visit Notes: Perceptions of Doctors and Patients at an Urban HIV/AIDS Clinic. J. Int. Assoc. Provid. AIDS Care 2015, 14, 306–312. [Google Scholar] [CrossRef] [Green Version]
  10. Fredericksen, R.; Crane, P.K.; Tufano, J.; Ralston, J.; Schmidt, S.; Brown, T.; Layman, D.; Harrington, R.D.; Dhanireddy, S.; Stone, T.; et al. Integrating a web-based, patient-administered assessment into primary care for HIV-infected adults. J. AIDS HIV Res. 2012, 4, 47–55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Ammenwerth, E.; Schnell-Inderst, P.; Hoerbst, A. The impact of electronic patient portals on patient care: A systematic review of controlled trials. J. Med. Internet Res. 2012, 14, e162. [Google Scholar] [CrossRef] [PubMed]
  12. Ryan, B.L.; Brown, J.B.; Terry, A.; Cejic, S.; Stewart, M.; Thind, A. Implementing and Using a Patient Portal: A qualitative exploration of patient and provider perspectives on engaging patients. J. Innov. Health Inform. 2016, 23, 848. [Google Scholar] [CrossRef] [PubMed]
  13. Irizarry, T.; DeVito Dabbs, A.; Curran, C.R. Patient Portals and Patient Engagement: A State of the Science Review. J. Med. Internet Res. 2015, 17, e148. [Google Scholar] [CrossRef] [Green Version]
  14. Kruse, C.S.; Bolton, K.; Freriks, G. The effect of patient portals on quality outcomes and its implications to meaningful use: A systematic review. J. Med. Internet Res. 2015, 17, e44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lin, C.T.; Wittevrongel, L.; Moore, L.; Beaty, B.L.; Ross, S.E. An Internet-based patient-provider communication system: Randomized controlled trial. J. Med. Internet Res. 2005, 7, e47. [Google Scholar] [CrossRef] [Green Version]
  16. Zhou, Y.Y.; Garrido, T.; Chin, H.L.; Wiesenthal, A.M.; Liang, L.L. Patient access to an electronic health record with secure messaging: Impact on primary care utilization. Am. J. Manag. Care 2007, 13, 418–424. [Google Scholar]
  17. Osborn, C.Y.; Mayberry, L.S.; Wallston, K.A.; Johnson, K.B.; Elasy, T.A. Understanding patient portal use: Implications for medication management. J. Med. Internet Res. 2013, 15, e133. [Google Scholar] [CrossRef]
  18. Baudendistel, I.; Winkler, E.; Kamradt, M.; Langst, G.; Eckrich, F.; Heinze, O.; Bergh, B.; Szecsenyi, J.; Ose, D. Personal electronic health records: Understanding user requirements and needs in chronic cancer care. J. Med. Internet Res. 2015, 17, e121. [Google Scholar] [CrossRef]
  19. Deshpande, P.R.; Rajan, S.; Sudeepthi, B.L.; Abdul Nazir, C.P. Patient-reported outcomes: A new era in clinical research. Perspect. Clin. Res. 2011, 2, 137–144. [Google Scholar] [CrossRef]
  20. Boyce, M.B.; Browne, J.P. Does providing feedback on patient-reported outcomes to healthcare professionals result in better outcomes for patients? A systematic review. Qual. Life Res. 2013, 22, 2265–2278. [Google Scholar] [CrossRef]
  21. Bristowe, K.; Clift, P.; James, R.; Josh, J.; Platt, M.; Whetham, J.; Nixon, E.; Post, F.A.; McQuillan, K.; Ni Cheallaigh, C.; et al. Towards person-centred care for people living with HIV: What core outcomes matter, and how might we assess them? A cross-national multi-centre qualitative study with key stakeholders. HIV Med. 2019, 20, 542–554. [Google Scholar] [CrossRef] [PubMed]
  22. Edelman, E.J.; Gordon, K.; Justice, A.C. Patient and provider-reported symptoms in the post-cART era. AIDS Behav. 2011, 15, 853–861. [Google Scholar] [CrossRef] [Green Version]
  23. CBC News. ’She’s Still Living, in Some Sense’: Woman’s App for Patients Wins Award, Days after Her Death. Available online: https://www.cbc.ca/news/canada/montreal/opal-app-cancer-patients-laurie-hendren-1.5161267 (accessed on 4 June 2019).
  24. van Limburg, M.; Wentzel, J.; Sanderman, R.; van Gemert-Pijnen, L. Business Modeling to Implement an eHealth Portal for Infection Control: A Reflection on Co-Creation with Stakeholders. JMIR Res. Protoc. 2015, 4, e104. [Google Scholar] [CrossRef]
  25. Greenhalgh, T.; Hinder, S.; Stramer, K.; Bratan, T.; Russell, J. Adoption, non-adoption, and abandonment of a personal electronic health record: Case study of HealthSpace. BMJ 2010, 341, c5814. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Eldridge, S.M.; Lancaster, G.A.; Campbell, M.J.; Thabane, L.; Hopewell, S.; Coleman, C.L.; Bond, C.M. Defining Feasibility and Pilot Studies in Preparation for Randomised Controlled Trials: Development of a Conceptual Framework. PLoS ONE 2016, 11, e0150205. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Weiner, B.J.; Lewis, C.C.; Stanick, C.; Powell, B.J.; Dorsey, C.N.; Clary, A.S.; Boynton, M.H.; Halko, H. Psychometric assessment of three newly developed implementation outcome measures. Implement. Sci. 2017, 12, 108. [Google Scholar] [CrossRef]
  28. Engler, K.; Lessard, D.; Toupin, I.; Lènàrt, A.; Lebouché, B. Engaging Stakeholders into an Electronic Patient-Reported Outcome Development Study: On Making an HIV-Specific e-PRO Patient-Centered. Health Policy Technol. 2017, 6, 59–66. [Google Scholar] [CrossRef]
  29. République Française. Décret No. 2017-884 du 9 mai 2017 Modifiant Certaines Dispositions Réglementaires Relatives aux Recherches Impliquant la Personne Humaine Paris: LegiFrance. 2017. Available online: https://www.legifrance.gouv.fr/eli/decret/2017/5/9/2017-884/jo/texte (accessed on 28 January 2021).
  30. Engler, K.; Lessard, D.; Lebouche, B. A Review of HIV-Specific Patient-Reported Outcome Measures. Patient 2017, 10, 187–202. [Google Scholar] [CrossRef]
  31. Leveille, S.G.; Walker, J.; Ralston, J.D.; Ross, S.E.; Elmore, J.G.; Delbanco, T. Evaluating the impact of patients’ online access to doctors’ visit notes: Designing and executing the OpenNotes project. BMC Med. Inform. Decis. Mak. 2012, 12, 32. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Maiorana, A.; Steward, W.T.; Koester, K.A.; Pearson, C.; Shade, S.B.; Chakravarty, D.; Myers, J.J. Trust, confidentiality, and the acceptability of sharing HIV-related patient data: Lessons learned from a mixed methods study about Health Information Exchanges. Implement. Sci. 2012, 7, 34. [Google Scholar] [CrossRef] [Green Version]
  33. Rahman, M.S.; Ko, M.; Warren, J.; Carpenter, D. Healthcare Technology Self-Efficacy (HTSE) and its influence on individual attitude: An empirical study. Comput. Hum. Behav. 2016, 58, 12–24. [Google Scholar] [CrossRef]
  34. Moore, G.C.; Benbasat, I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 1991, 2, 192–222. [Google Scholar] [CrossRef] [Green Version]
  35. Harris, P.A.; Taylor, R.; Minor, B.L.; Elliott, V.; Fernandez, M.; O’Neal, L.; McLeod, L.; Delacqua, G.; Delacqua, F.; Kirby, J.; et al. The REDCap consortium: Building an international community of software platform partners. J. Biomed. Inform. 2019, 95, 103208. [Google Scholar] [CrossRef]
  36. Harris, P.A.; Taylor, R.; Thielke, R.; Payne, J.; Gonzalez, N.; Conde, J.G. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009, 42, 377–381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. R Foundation for Statistical Computing. R: A Language and Environment for Statistical Computing, 1.2; R Core Team: Vienna, Austria, 2020. [Google Scholar]
  38. Bate, P.; Robert, G. Experience-based design: From redesigning the system around the patient to co-designing services with the patient. Qual. Saf. Health Care 2006, 15, 307–310. [Google Scholar] [CrossRef] [Green Version]
  39. Ancker, J.S.; Osorio, S.N.; Cheriff, A.; Cole, C.L.; Silver, M.; Kaushal, R. Patient activation and use of an electronic patient portal. Inform. Health Soc. Care 2015, 40, 254–266. [Google Scholar] [CrossRef] [PubMed]
  40. Gordon, N.P.; Hornbrook, M.C. Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan. J. Med. Internet Res. 2016, 18, e50. [Google Scholar] [CrossRef] [PubMed]
  41. Latulipe, C.; Gatto, A.; Nguyen, H.T.; Miller, D.P.; Quandt, S.A.; Bertoni, A.G.; Smith, A.; Arcury, T.A. Design Considerations for Patient Portal Adoption by Low-Income, Older Adults. Proc. SIGCHI Conf. Hum. Factor Comput. Syst. 2015, 2015, 3859–3868. [Google Scholar] [CrossRef] [Green Version]
  42. Franklin, P.; Chenok, K.; Lavalee, D.; Love, R.; Paxton, L.; Segal, C.; Holve, E. Framework to Guide the Collection and Use of Patient-Reported Outcome Measures in the Learning Healthcare System. EGEMS 2017, 5, 17. [Google Scholar] [CrossRef]
  43. McInnes, D.K.; Solomon, J.L.; Bokhour, B.G.; Asch, S.M.; Ross, D.; Nazi, K.M.; Gifford, A.L. Use of electronic personal health record systems to encourage HIV screening: An exploratory study of patient and provider perspectives. BMC Res. Notes 2011, 4, 295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Chen, C.; Garrido, T.; Chock, D.; Okawa, G.; Liang, L. The Kaiser Permanente Electronic Health Record: Transforming and streamlining modalities of care. Health Aff. (Millwood) 2009, 28, 323–333. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Hess, R.; Bryce, C.L.; Paone, S.; Fischer, G.; McTigue, K.M.; Olshansky, E.; Zickmund, S.; Fitzgerald, K.; Siminerio, L. Exploring challenges and potentials of personal health records in diabetes self-management: Implementation and initial assessment. Telemed. J. E Health 2007, 13, 509–517. [Google Scholar] [CrossRef] [Green Version]
  46. Lingg, M.; Lutschg, V. Health System Stakeholders’ Perspective on the Role of Mobile Health and Its Adoption in the Swiss Health System: Qualitative Study. JMIR Mhealth Uhealth 2020, 8, e17315. [Google Scholar] [CrossRef]
  47. Zettel-Watson, L.; Tsukerman, D. Adoption of online health management tools among healthy older adults: An exploratory study. Health Inform. J. 2016, 22, 171–183. [Google Scholar] [CrossRef]
  48. Lober, W.B.; Zierler, B.; Herbaugh, A.; Shinstrom, S.E.; Stolyar, A.; Kim, E.H.; Kim, Y. Barriers to the use of a personal health record by an elderly population. In AMIA Annual Symposium Proceedings; American Medical Informatics Association: Bethesda, MD, USA, 2006; p. 514. [Google Scholar]
  49. Schnipper, J.L.; Gandhi, T.K.; Wald, J.S.; Grant, R.W.; Poon, E.G.; Volk, L.A.; Businger, A.; Siteman, E.; Buckel, L.; Middleton, B. Design and implementation of a web-based patient portal linked to an electronic health record designed to improve medication safety: The Patient Gateway medications module. Inform. Prim. Care 2008, 16, 147–155. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Kerai, P.; Wood, P.; Martin, M. A pilot study on the views of elderly regional Australians of personally controlled electronic health records. Int. J. Med. Inform. 2014, 83, 201–209. [Google Scholar] [CrossRef]
  51. Hourcade, J.P.; Chrischilles, E.A.; Gryzlak, B.M.; Hanson, B.M.; Dunbar, D.E.; Eichmann, D.A.; Lorentzen, R.R. Design Lessons for Older Adult Personal Health Records Software from Older Adults; Springer: Berlin/Heidelberg, Germany; pp. 176–185.
  52. Price, M.M.; Pak, R.; Müller, H.; Stronge, A. Older adults’ perceptions of usefulness of personal health records. Univers. Access Inf. Soc. 2013, 12, 191–204. [Google Scholar] [CrossRef]
  53. Rueda, S.; Mitra, S.; Chen, S.; Gogolishvili, D.; Globerman, J.; Chambers, L.; Wilson, M.; Logie, C.H.; Shi, Q.; Morassaei, S.; et al. Examining the associations between HIV-related stigma and health outcomes in people living with HIV/AIDS: A series of meta-analyses. BMJ Open 2016, 6, e011453. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Participant interest in proposed Opal functions.
Figure 1. Participant interest in proposed Opal functions.
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Figure 2. Preferences of people living with HIV for sharing their personal health information with others. Percentages are displayed with 95% confidence intervals in brackets.
Figure 2. Preferences of people living with HIV for sharing their personal health information with others. Percentages are displayed with 95% confidence intervals in brackets.
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Figure 3. People living with HIV who responded agreeably to anticipated benefits and inconveniences of Opal. Percentages are displayed with 95% confidence intervals in brackets.
Figure 3. People living with HIV who responded agreeably to anticipated benefits and inconveniences of Opal. Percentages are displayed with 95% confidence intervals in brackets.
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Figure 4. Participant interest in types of HIV-specific PROMs for administration via Opal.
Figure 4. Participant interest in types of HIV-specific PROMs for administration via Opal.
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Table 1. Descriptive characteristics of people living with HIV and healthcare providers who participated in the study.
Table 1. Descriptive characteristics of people living with HIV and healthcare providers who participated in the study.
People Living with HIV (n = 114)
Mean (SD) or %
Healthcare Providers (n = 31)
Mean (SD) or %
  Age (years)47.8 (12.4)46.5 (11.4)
  Range27, 7425, 68
 Gender
  Male7432
  Female2465
  Other/Transgender23
 Sexual orientation
  Heterosexual48N/A
  Men who have sex with men41
  Bisexual9
  Unsure or other2
 Marital status
  Single47N/A
  Married38
  Divorced or widow(er)15
 Level of education
  University or higher36N/A
  CEGEP *, trade/vocational school, or high school53
  Up to high school11
 Paid work
  Student8N/A
  Part-time14
  Full-time35
  Unemployed, retired, or disabled43
 Income (CAD)
  1 to 19 99933N/A
  20 000 to 39 99929
  40 000 to 59 99915
  >60 00014
  None or missing9
 Ethnicity
  Caucasian or White36N/A
  Black, African, or Carribean31
  Latino, Latin American, or South American20
  North African or Middle Eastern6
  Asian or Pacific Islander<5
  Indian or South Asian<5
  Other<5
  Aboriginal, First Nations, or Métis---
 Occupation
  PhysicianN/A42
  Pharmacist26
  Nurse19
  Social worker6
  Administrative staff6
 Smart devices owned
  Smartphone9087
  Computer (desktop or laptop)6584
  Tablet3929
  iPod or phablet819
  Smartwatch<510
  Other<5<5
  None<5---
N/A represents not applicable, --- represents no responses. * CEGEP is the first level of post-secondary education exclusive to Quebec, Canada.
Table 2. Participants’ healthcare application experience, willingness to use a patient portal, preferences for accessing medical records, healthcare application self-efficacy, and acceptability of Opal.
Table 2. Participants’ healthcare application experience, willingness to use a patient portal, preferences for accessing medical records, healthcare application self-efficacy, and acceptability of Opal.
People living with HIV (n = 114)
%
Healthcare providers (n = 31)
%
 Healthcare application experience
  None to very little8261
  Moderate to extensive1835
 Willing to use a patient portal
  Yes7468
  No2210
  Uncertain419
 Access to medical records
  Immediate access61N/A
  Following physician review25
  No access 10
  Only need-to-know information4
 Healthcare application self-efficacy
  Capacity to use healthcare applications9090
  Comfortable using healthcare applications 7781
  Ease of healthcare application use7677
  Confidence pressing the right buttons to promote health7384
 Acceptability of the proposed Opal patient portal
  Opal is appealing9097
  Opal has my approval8987
  I would welcome Opal in HIV care8981
  I like Opal7681
N/A represents not applicable.
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MDPI and ACS Style

Chu, D.; Schuster, T.; Lessard, D.; Mate, K.; Engler, K.; Ma, Y.; Abulkhir, A.; Arora, A.; Long, S.; de Pokomandy, A.; et al. Acceptability of a Patient Portal (Opal) in HIV Clinical Care: A Feasibility Study. J. Pers. Med. 2021, 11, 134. https://doi.org/10.3390/jpm11020134

AMA Style

Chu D, Schuster T, Lessard D, Mate K, Engler K, Ma Y, Abulkhir A, Arora A, Long S, de Pokomandy A, et al. Acceptability of a Patient Portal (Opal) in HIV Clinical Care: A Feasibility Study. Journal of Personalized Medicine. 2021; 11(2):134. https://doi.org/10.3390/jpm11020134

Chicago/Turabian Style

Chu, Dominic, Tibor Schuster, David Lessard, Kedar Mate, Kim Engler, Yuanchao Ma, Ayoub Abulkhir, Anish Arora, Stephanie Long, Alexandra de Pokomandy, and et al. 2021. "Acceptability of a Patient Portal (Opal) in HIV Clinical Care: A Feasibility Study" Journal of Personalized Medicine 11, no. 2: 134. https://doi.org/10.3390/jpm11020134

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