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The experiences, needs and barriers of people with impairments related to usability and accessibility of digital health solutions, levels of involvement in the design process and strategies for participatory and universal design: a scoping review

BMC Public Health volume 22, Article number: 35 (2022) Cite this article

Abstract

Objective

Globally, the number of digital health solutions is increasing, but they are not always designed with access and utilisation for people with impairments in mind. Development efforts have often not included the voice and requirements of people with impairments, who make up 15% of the world’s population, despite the fact that this can help ensure broad access and utilisation. Little attention to and limited inclusion of people with impairments in the development of digital health solutions results in continued and reinforced inequalities in health services provision for people with impairments. This review investigates the needs and barriers of people with impairments related to use of digital health solutions and strategies to foster user participation, access and utilisation of digital health solutions.

Methods

This scoping review, based on the Joanna Briggs Institute Manual, had five phases: 1) identification of aim and research questions, 2) literature search in five databases (April/May 2020), 3) literature screening based on predetermined inclusion and exclusion criteria, 4) data extraction, and (5) reporting results.

Results

The literature search resulted in 5968 sources, of which 25 met our inclusion criteria. People with impairments appreciate digital health solutions that are designed to meet their specific impairment-related challenges. The reported needs and barriers related to technological design varied depending on the individuals’ challenges. The literature reported different types of participatory co-design strategies to foster access and utilisation of digital health solutions.

Conclusion

This scoping review support needs for increased awareness among developers to design solutions that meet people’s needs, contexts and states of health. By applying universal design as a strategy and including people with different types of impairments, starting in the idea creation phase of digital health solutions and throughout the development, developers can design solutions with better accessibility. Digital health solutions that are accessible and usable have a tremendous opportunity to foster health equity and achieve health promotion, prevention and self-care. This in turn can contribute to closing the gap between different population groups, reduce disparities and get the most from available healthcare services.

Peer Review reports

Introduction

Globally, a plethora of digital health solutions has been suggested, designed and/or deployed. During COVID-19, many countries adopted social distancing measures, and the availability of and access to digital health solutions for all are therefore highly pertinent to ensure good public health. Digital health is a broad term that includes the use of information and communication technology, such as software applications, mobile phones and wearable devices, to support peoples’ health and their quality of life. The World Health Organization (WHO) emphasises that digital health is essential in achieving universal health coverage as “it extends the scope, transparency and accessibility of health services and health information, widening the population base capable of accessing the available health services and offering innovation and efficiency gains in the provision of health care” [1]. In this paper we focus on digital health solutions and services intended for personal use. Examples are apps and devices for self-management and monitoring of health conditions and contact with health professionals.

People with impairments (loss or abnormality of body functions, sensory and cognitive capacities, and structures) can often experience barriers leading to de-facto disabilities due to the structure of society [2], and digital health solutions are part of such an exclusive structure if they are not designed to be accessible to people with impairments. According to WHO and the World Bank, people who experience disabilities make up 15% of the world’s population [2]. The term disability has had different meanings throughout the ages due to public policy [3]. Disability is in this article defined according to the International Classification of Functioning, Disability and Health (ICF) [4]. The ICF is structured around three components: 1) body functions and structures (physiological, psychological and anatomical), 2) activities (the execution of a task or action by an individual) and participation (involvement in a life situation), and 3) environmental (the specific context) and personal factors (lifestyle, social background) that may have an impact on the individual’s health and health-related states. According to ICF, a disability occurs when there is a limitation in activity and participation because of a gap between an individual’s body function and structure, and personal experiences and knowledge on the one side, and the requirements from the environment on the other side. The ICF definition indicates that there is a correlation between disability and disadvantage and that the level of disadvantage depends on the gap between the factors described above.

In this article, we have chosen to use the term impairment for the population group we study, as impairment does not lead to or justify disability. It is rather society’s lack of consideration of the needs of people with impairments that leads to disability. People can be born with an impairment, acquire an impairment as a result of an accident or injury, or develop an impairment because of chronic conditions or harsh environmental conditions. We adopted a disease-agnostic perspective, which means that we will focus on functional impairments (cognitive, mental, motor, visual and hearing) regardless of what circumstance caused the impairment or disease. The decision to apply this perspective reflects our assumption that people with similar functional impairments may have similar experiences independent of the cause of their impairments. Furthermore, a disease-agnostic perspective for this scoping review may provide insights that will be valuable for the design for and collaboration with people with different types of impairments independent of the cause of impairment.

Accessibility problems of digital health occur in the intersection between the user, their context and the product or service in question. People with impairments have challenges related to digital health solutions, if development processes fail to consider the diversity of the human body function and structure, their abilities and their context. For example, visually impaired people need descriptions of images, while people with hearing impairment need captioning of videos, people with loss of hand dexterity may need to give input through voice recognition, people with motor impairments may need their health applications to be able to measure activity when using a mobility aid, and people with cognitive impairments may need an interface with easily recognisable and familiar icons and text to speech functionality [5]. Developers of digital health solutions should therefore strive to develop solutions that are universally designed, which means that they are accessible and usable for everyone, including people with impairments. For example, an app for measuring blood sugar for people with diabetes should be designed so that it can be used by people with visual impairments or other types of impairments, as people needing to measure their blood-sugar may have different impairments independent of their diabetes.

To make digital health solutions more accessible and usable to people with a diversity of body function and structure, developers of digital health solutions should conform to the Web Content Accessibility Guidelines (WCAG) [5]. These guidelines have been specially developed with the aim of making web content more accessible to people with impairments, but also for people in diverse contexts and with a range of user devices, including smart phones. The WCAG guidelines are widely accepted and referred to in legislation, such as the EU Directive on the accessibility of websites and mobile applications. They are also integrated into the US Section 508 of the Rehabilitation Act of 1973. However, technical reviews show that health websites and applications in general do not conform to these guidelines [6,7,8]. This is also confirmed by people with impairments who report difficulties with accessibility and usability of digital health solutions [9,10,11,12,13,14].

People with impairments often experience disability when they are exposed to inequality, disparity, discrimination and systemic exclusion. David ( [15] , p. 253) explains that when it comes to “race it is not the skin that matters, but rather the meanings ascribed to that skin by ideology, and the consequent jaundiced ways in which society responds to its ‘inhabitants’. So, too, in disability”. For example, women with different types of impairments are systematically excluded from traditional preventive health screenings like mammography [16], and university students who use wheelchairs can have problems pursuing higher education due to lack of access to auditoriums, toilets, libraries and transport facilities [17]. Discrimination and systemic exclusion of people with impairments has resulted in the establishment of the Convention on the Rights of Persons with Disabilities (CRPD) in 2007 [18]. The purpose of the Convention is to ensure human rights for people with impairments who experience disabilities. Both the right to the highest attainable standard of health (Article 25) and information technology (Article 19) is specified in the Convention. According to the articles, digital health solutions should be accessible and usable for people with impairments, and universal design is the recommended strategy to achieve this goal.

Inclusion of people with different types of impairments in the development cycle of digital health solutions may lead to design of solutions with better accessibility experiences for the end users. Ideal participation would be to involve people with different types of impairments early in the idea creation phase of digital health solutions and throughout the development [19]. However, there is lack of active inclusion of the voice and requirements by people with impairments in health research in general, despite several published studies for how to include people with impairments in research [20,21,22,23,24] and the guidance of CRPD [18]. Limited inclusion of people with impairments in the development of digital health solutions easily lead to continuation and reinforcement of inequalities in health services provision for people with impairments. A preliminary search for literature on digital health solutions and people with impairments in PubMed, CINAHL, EMBASE and Cochrane showed that people with impairments are rarely included in research about digital health solutions, not even when the solution is specifically designed to be used by people with impairments. This contrasts with the clearly stated need for digital health solutions that are suitable, accessible and usable for people with impairments [9, 10, 14].

Aim

The aim of this scoping review is to investigate the needs and barriers of people with impairments related to the use of digital health solutions, and strategies to foster user participation, access and utilisation of digital health solutions. The scoping review was guided by the following research questions:

  1. 1.

    What needs and barriers do people with impairments experience related to the use of digital health solutions?

  2. 2.

    What are the levels of participation of people with impairments in the idea creation, design and evaluation phases of the design process?

  3. 3.

    What strategies have been suggested, implemented or evaluated to foster user participation in the design of digital health solutions for people with impairments?

Methods

The methodology for this scoping review was based on Joanna Briggs Institute Manual [25], and had five phases: 1) identify aim and research questions, 2) search for relevant literature, 3) literature screening and selection, 4) data extraction, and (5) summarise and report the results. The title, aim, research questions, screening process and inclusion and exclusion criteria for inclusion of literature were specified in a protocol written in Norwegian before we started searching for literature. We used the PRISMA-ScR guidelines in reporting this study (see Appendix 1).

Search strategy

In April/May 2020, with the guidance of a medical librarian we searched the following databases for relevant literature: Medline, CINAHL, Scopus, IEE Explore and ACM library. In addition, KSF hand searched The Journal on Technology and Persons with Disabilities. The databases were searched via a search query using the PCC framework [25]:

  • Population – people with functional impairments (cognitive, mental, motor, visual and hearing)

  • Concept – digital health solutions

  • Context – user participation explained as engagement in design, access and utilisation

Appendix 2 shows the full search conducted in the different databases and Appendix 3 shows the identified literature from the databases. To confirm the quality of our search, we also searched Google Scholar with the following keywords “disability and digital and participatory design” (17,500 hits) and screened the first 50 hits, sorted by relevance, to ensure that all sources that seemed relevant to our research questions were included in the database search.

Literature – screening and selection

All the literature was screened in two iterations by using Rayyan which is a tool developed for screening of literature [26]. Each source found in the databases was screened based on predetermined inclusion and exclusion criteria (Table 1). In the first iteration the screeners included or excluded literature based on title and abstract examination and the second iteration was based on full-text examination. In addition, the screeners followed citation trails of relevant studies.

Table 1 Inclusion and exclusion criteria for literature
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In the first screening round, SHH and SM individually screened all the literature identified in the literature search. Prior to embarking on literature selection, SHH, SM and AM pilot screened a sample of 25 titles/abstracts to achieve consensus on literature selection. After the first screening SHH and SM disagreed upon inclusion/exclusion on 150 sources (3,6% of the sources screened). SHH, SM and AM met to discuss these sources and agreed on which sources to include. Thereafter, AM checked a random sample of the included to ensure they met the inclusion criteria. In the second screening round, SHH and SM individually screened all the sources included in the first screening round and agreed on which sources to include based on reading the full-text. We did not conduct a quality assessment of the literature as this it is not a priority in scoping reviews [27].

Data extraction

A data extraction form was developed which included the following extraction fields:

  • Study characteristics (author, year, country, aim, design, sample size)

  • Population characteristics (gender, age, type of impairment)

  • Key findings that relate to the scoping review questions

  • Use of universal design guidelines such as WCAG

During the data extraction SHH and SM independently read the full text sources to complete the form. Through this process, SHH and SM read specifically to identify all aspects of barriers to use, access and utilisation, levels of user participation and engagement in the design process, and strategies for participatory and universal design. Most data about user participation were extracted from the method section of the included papers, while the data about needs and barriers related to design, access and utilisation of digital health solutions were extracted from the result section. As the review was disease-agnostic, what is presented in the extraction form are not the key results of the selected papers, but rather a description of people with impairments’ perceptions related to use, access and utilisation of digital health solutions, their participation in the research process, and strategies for participation and universal design. All the extracted data are presented in tables and summarised in the result section.

Results

Literature search

The literature search resulted in 5968 sources before removal of 1822 duplicates. In the first screening round, a large proportion of the sources were excluded due to outcomes with another focus than this study, population and type of publication, lack of user involvement and a focus on digital solutions that are not related to health. Another significant number of sources were randomised controlled trials, pre-post-test studies or similar comparison designs, which focused on whether digital health solutions have the desired effect. These sources were also excluded as they did not report the perspectives of people with impairments, barriers, access and utilisation of the digital health solution. In the second round of screening, it became clear that several of the sources reported participatory design in the development of digital health solutions as a strategy to foster access and use of the solution, however they did not report how the perspective of people with impairments were attended to during the development process; from idea to design and deployment. A large proportion of the literature was therefore excluded in the second round of screening as we only included studies that reported how the perspectives of people with impairments were incorporated into the development process. In addition, several sources were excluded because they only focused on the technical feasibility of the digital health solution. Finally, a total of 25 sources were included in the study. The screening process is summarised in Fig. 1.

Fig. 1
figure 1

PRISMA Flow Diagram

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Characteristics of included literature

Table 2 shows the characteristics of the included literature. A large proportion of the sources reported different types of apps that can be used on smart-phones and tablets [28,29,30,31,32,33,34,35,36,37,38,39,40,41,42]. The other sources included a smart shower [43], conversational agents [44], gaming, social media, and robotics technologies [45], website [46], interactive map [47], augmented reality magnification aid device for low vision user [48], electric powered wheelchair [49] and strategies for how to design digital health solutions [50,51,52]. An overview of the included literature is provided in Table 3.

Table 2 Overview of the characteristic of the included sources (n = 25)
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Table 3 Overview of the included sources (n = 25)
Full size table

The needs and barriers related to the use of digital health solutions

The literature reported different needs and barriers related to the technological design. For example, people with visual impairment state that digital health solutions that include buttons must be designed to ensure that the buttons have distinctive shape, colour, and dimension to be accessible and usable [43]. People with hearing aids or cochlear implants express that most conversational agents with voice interfaces have female voices as default and that this can be a barrier, as high-pitched voices are often difficult to hear, especially if the speed of voice is too fast [44]. Furthermore, adults with motor impairment request health and fitness tracking solutions designed to cater to the mobility level and needs of each user (e.g., tracking rolling and posture) [32]. Children and adults also request rehabilitation gaming systems designed for people with motor impairment, as such games encourage users to do exercises that otherwise seem repetitive and tedious [45]. In addition, they expressed that the games should be space-efficient and have low cost for the user.

On a general basis and regardless of the type of impairment, the literature described that digital health solutions must be designed to be easy and intuitive to use [30,31,32,33, 37]. Adults with impairment in fine motor skills and sensory functions express that it is challenging to operate smartphones and tablets with two hands [33]. Manual input of data on apps is also experienced to be a barrier for those with motor impairment [32, 37]. Older adults with some cognitive impairment also express that input of data in apps should be intuitive and that the apps should have large icons and words, as small icons are hard to read and tap [31]. Furthermore, older adults with cognitive impairments express that the use of apps in general (e.g., games apps, news and weather forecast apps) can be a barrier for them as they stated that apps are often hard to navigate and use, and their capacities to comprehend is further compromised due to unclear symbols for buttons, sensitivity of the touchscreen, use of links, updates that change the operation of the app and foreign language [30]. Features promoting use of apps among older adults were carefully selected layout features, such as use of clear pictures and photos, readable letter types and sizes, a calm interface and background, and a contrast between text and background.

The authors of several of the included sources have designed and developed digital health solutions intended for people with impairments and invited people with impairments to test the usability of the solution and service [28, 29, 34, 37]. In accordance with the sources presented above, the testers reported varying degrees of challenges related to the layout and navigation of the apps, indicating that it is challenging to design a user-friendly app.

Strategies that have been suggested, implemented or evaluated to foster user participation, access and utilisation

Overall, the literature reported use of different types of participatory design strategies to foster access and utilisation of digital health solutions for people with impairments. However, it differed where in the development process they chose to invite perspectives of people with impairments. Two of the sources reported using WCAG [5] in the development process as a strategy to foster access and utilisation of digital health solutions for people with impairments [42, 51].

All sources presented in this section report that participants with impairments were actively involved in the entire design process. Adults with visual [35, 36, 47], motor [37, 49], and cognitive ([40, 41, 46] (adolescents)) impairment were included as participants in the idea creation process to identify the needs of the end-users. Then the researchers developed a digital health solution that the participants contributed to test and evaluate for usability and accessibility. The participants expressed that the accessibility and usability of the solution is good [35,36,37, 40, 41, 46, 47, 49]. Lazar, Woglom et al. [42] also included adults with cognitive/intellectual impairment in the idea creation process to identify the needs of the end-users. Despite a thorough description of how people with cognitive/intellectual impairment have contributed to a conceptual design of an application, it is not yet implemented as a software app nor tested for its usability due to lack of funding.

Some researchers have not included people with impairments in the idea creation process, but first included them as participants in the evaluation of the digital health solution [38] (motor impairment), [39, 48] (visual impairment)). Typically, the researchers first designed a prototype before they invited the participants to assess the prototype in one or more iterations. After the assessment the prototype was further developed to meet their needs before they re-evaluated the usability and accessibility of the solution.

Ferati, Babar et al. [43] differed from the other sources that described participatory design approaches to foster access and utilisation of digital health solutions for people with impairments. They included participants with visual, motor and cognitive impairments from idea creation to design and deployment of a smart shower, but unfortunately did not evaluate the usability of the solution.

In contrast to the sources presented above that reported use of participatory design strategies to develop a specific digital health solution, three of the sources focused on strategies for ensuring the accessibility and usability of digital health solutions in general for people with impairments. To enhance accessibility and usability for people with visual impairment, one of the studies developed a set of general suggestions for designers and developers of home automation and remote-control systems [50]. The general suggestions were based on feedback from adults with visual impairments sharing needs, challenges and requests related to smart homes. The researchers suggested the development of one accessible and usable interface for all services, solutions that could be used with various services, functionalities that are customisable and possibilities to control the solution offline. Another study developed apps together with people with cognitive and communication impairments [52]. Based on experiences they suggested strategies, such as, appropriate language levels, making information accessible, adapt tools to match the participants’ cognitive needs to involve people with cognitive and communication impairment in mobile health app design. In addition, the researchers emphasised that communication aids, signs and gesture systems and observation of participant behaviour during the design process can be used to elicit participants’ perspectives. The last of the studies developed design guidelines to make apps in general accessible for people with visual impairment [51]. The guidelines contain several concrete suggestions, such as support for zoom in/out for the main content and other colour schemes, intuitive navigation and menu, highly legible fonts, etc. The researchers did not include people with visual impairments in the development phase, but people with and without visual impairments tested whether the guidelines made health apps more accessible. This was done by applying the guidelines on five randomly selected health apps. The study confirmed an increase in the actual information recognition speed for people with and without visual impairment after applying the design guidelines to the five selected health apps [51].

Discussion

To the best of our knowledge, this is the first scoping review that investigates the experiences, needs and barriers related to the use of digital health solutions and to participation by people with impairments from a disease-agnostic perspective, starting from idea to design and deployment, for improved accessibility and utilisation of digital health solutions. In line with previous research [9,10,11,12,13], this scoping review shows that digital health solutions are often designed in ways that make them inaccessible or at best challenging to use for people with impairments. The review also showed that people with impairments request digital health solutions to accommodate their specific impairment-related challenges and that are also easy and intuitive to use, which is also consistent with previous research [10, 13]. Overall, the large number of articles that were excluded from this scoping review, strengthens the impression that digital health solutions often do not come with designs that cater for the diverse needs of people with different types of impairments. This finding is of concern for public health, as a lack of attention to the needs of people with impairments can lead to increased health inequality, leaving people with impairments unable to take full advantage of digital health solutions.

This scoping review showed that people with impairments reported a range of technological design needs and barriers related to perceivable content (use of colour, contrast, resize text), operability, navigation, input modalities, understandability and predictability. Several of these needs and barriers are in line with WCAG guidelines [5]. While conformance to WCAG is an important first step towards creating solutions that are more usable and accessible for people with and without impairments [53], it does not guarantee universal design [54, 55]. Therefore, universal design efforts should be based on a human-centred and participatory design process, involving a broad range of stakeholders throughout the design process, including people with impairments. This scoping review affirms that when the people with impairments were included from the idea creation phase and throughout the development of digital health solutions, the expressed accessibility and usability of the developed solution is good. This finding indicates that it is paramount to ensure involvement during the whole design process to ensure that digital health solutions are capable to mitigate the specific impairment-related challenges that prohibit people with impairments from using digital health applications.. Early inclusion may also contribute to reducing structural inequalities and promoting health equity through use value and availability of digital health solutions.

Overall, this scoping review indicates that knowledge about the general principles of universal design should be used in the development of digital health solutions. The review shows that several of the barriers reported by persons with impairments could be reduced if principles in WCAG were utilised. Instead of focusing on achieving universal design, the included sources focused on digital health solutions that are designed to meet the needs of one specific user group, for example, people with motor impairment or cognitive impairment. The focus might be explained by the inherent heterogeneity, that people with different types of impairments experience different challenges related to digital health solutions [10, 13]. However, people with a certain type of impairment may also have other types of impairments or age-related challenges. Therefore, basing health solutions on universal design principles will make them usable and accessible to wider user groups and thus make them more sustainable.

Drawing from and in accordance with the ICF definition, an impairment does not necessarily imply a disability or disadvantage if the personal and external factors that represent the circumstances in the person’s life are adapted to the person’s capacity and health condition [2, 4]. Disability can occur when external factors such as digital health solutions do not meet people’s needs, context and state of health. Lack of adherence to universal design principles can create disability or disadvantage. A core objective is that digital health solutions are designed to support peoples’ health management and their quality of life, foster engagement and empower them. However, previous research [9,10,11,12,13,14] included in this scoping review indicates that digital health solutions are (too) often inaccessible, because they fail to consider the relationship between the user, their context and the digital health solution. Thus, the solution does not support their health management and quality of life.

Furthermore, this review indicates that a low degree of user participation of people with impairments early in the development of digital health solutions may in fact introduce additional barriers and exclusion, as people with impairments do not fully benefit from the deployed solutions. In other words, if the development of digital health solutions do not apply participatory and universal design, the digital solution is less likely to be adapted to people’s state of health, permanent or transient impairment and capacity to use. For public health this may actually cause a situation when people who are normally considered fully abled suddenly appear disabled. This argument is in line with previous research [56,57,58], which emphasises that digital health solutions with “one-for-all” design can drive increased health inequalities because heterogeneity is not well incorporated.

Strengths and limitations

The inclusion criterions may have led to knowledge about participation in design, access or utilisation not being included in this scoping review if the sources have not clearly described that the knowledge is based on the perspectives of people with impairments. An obvious strength in taking a disease-agnostic stance allowed us to focus on functional impairments that could, if accounted for, ease user experiences with digital solutions. One limitation is that due to language barriers, only literature written in Norwegian, Swedish, Danish and English were included. Another limitation is that relevant research conducted before 2015 has not been included due to the recent development of digital health solutions. This review may not have identified all published literature despite attempts to include a range of keywords and databases to be as comprehensive as possible. A limitation may also be that we retained literature for further analysis if it clearly included and reported the perspective of people with impairments. However, as explained in the results section, several of the excluded sources stated that they had a participatory design, but the perspective of people with impairment was not accounted for.

Conclusion

According to the internationally accepted convention CRPD [18], digital health solutions must be accessible and usable for all, including people with impairments and other underserved groups. This scoping review indicates that the use of universal design principles and actively engaging with people having different types of permanent or transient impairments, starting in the idea creation phase of digital health solutions, is more likely to result in solutions that are accessible to everyone regardless of their state of health. Since this scoping review shows that available digital health solutions often are inaccessible for people with impairments, there is a strong need to build capacity, also in public health, to meet the requirement for design of solutions that follow universal design principles, to meet people’s needs, context and state of health. The large number of inaccessible solutions currently available is likely to maintain patterns of systemic exclusion of people with impairments, which comes with significant implications for public health efforts. In fact, WHO states that digital health is vital for health and wellbeing, and in achieving universal health coverage [1]. With aging populations, the proportion of people with disabilities and comorbidities are increasing. This does not only lead to an increased demand for digital health services, but more specifically it leads to an increased demand for accessible and universally designed solutions used as part of the health services. Although we acknowledge desirability and challenges to develop digital health solutions that adapt to the diversity of the human body function and structure, peoples’ capabilities and their context, a thorough discussion of possibilities and efforts needed to create accessible digital solutions is overdue.

Availability of data and materials

All data generated or analysed during this study are included in this published article and its supplementary information files (Appendix 2 and 3).

Abbreviations

ICF:

International Classification of Functioning

Disability and Health

WCAG:

Web Content Accessibility Guidelines

WHO:

World Health Organization

CRPD:

Convention on the Rights of Persons with Disabilities

References

  1. World Health Organization. From innovation to implementation: eHealth in the who European region: World Health Organization: Regional Office for Europe; 2016.

    Google Scholar 

  2. World Health Organization World report on disability 2011: World Health Organization; 2011.

    Google Scholar 

  3. Francis L, Silvers A. Perspectives on the meaning of “disability”. AMA J Ethics. 2016;18(10):1025–33.

    PubMed  Google Scholar 

  4. World Health Organization. International classification of functioning, disability and health: ICF: world health Organization; 2001.

    Google Scholar 

  5. Web Accessibility Initiative. Web Content Accessibility Guidelines (WCAG) 2.1. 2018. Available from: https://www.w3.org/TR/WCAG21/

    Google Scholar 

  6. Alajarmeh N. Evaluating the accessibility of public health websites: an exploratory cross-country study. Univ Access Inf Soc. 2021:1–19.

  7. Sik-Lanyi C, Orban-Mihalyko E. Accessibility testing of European health-related websites. Arab J Sci Eng. 2019;44(11):9171–90.

    Google Scholar 

  8. Ross AS, Zhang X, Fogarty J, Wobbrock JO. Epidemiology as a framework for large-scale Mobile application accessibility assessment. In: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility. Baltimore: Association for Computing Machinery; 2017. p. 2–11.

    Google Scholar 

  9. Vazquez A, Jenaro C, Flores N, Bagnato MJ, Perez MC, Cruz M. E-health interventions for adult and aging population with intellectual disability: a review. Front Psychol. 2018;9:2323.

    PubMed  PubMed Central  Google Scholar 

  10. Jones M, Morris J, Deruyter F. Mobile healthcare and people with disabilities: current state and future needs. Int J Environ Res Public Health. 2018;15(3):515.

    PubMed Central  Google Scholar 

  11. Yu D, Parmanto B, Dicianno B. An mHealth app for users with dexterity impairments: accessibility study. JMIR Mhealth Uhealth. 2019;7(1):e202.

    PubMed  PubMed Central  Google Scholar 

  12. Patrick PA, Obermeyer I, Xenakis J, Crocitto D, O'Hara DM. Technology and social media use by adult patients with intellectual and/or developmental disabilities. Disabil Health J. 2020;13(1):100840.

    PubMed  Google Scholar 

  13. Jones ML, Morris J, DeRuyter F, Miesenberger K, Kouroupetroglou G. Mobile healthcare and people with disabilities: Results from a preliminary survey, vol. 2018. Virginia C: Crawford Research Institute, Shepherd Center, Atlanta, United States Department of Surgery, Duke University Medical Center, Durham, United States: Springer Verlag; 2018. p. 457–63.

    Google Scholar 

  14. De Oliveira GAA, De Bettio RW, Freire AP. Accessibility of the smart home for users with visual disabilities: An evaluation of open source mobile applications for home automation, vol. 2016: Dept. of Computer Science, Federal University of Lavras, Lavras MG, Brazil: Association for Computing Machinery; 2016.

    Google Scholar 

  15. David EJR. Internalized oppression. In: The psychology of marginalized groups: Springer Publishing Company; 2013.

    Google Scholar 

  16. Mheta D, Mashamba-Thompson TP. Barriers and facilitators of access to maternal services for women with disabilities: scoping review protocol. Syst Rev. 2017;6(1):99.

    PubMed  PubMed Central  Google Scholar 

  17. Chiwandire D, Vincent L. Wheelchair users, access and exclusion in south African higher education. Afr J Disabil. 2017;6:353.

    PubMed  PubMed Central  Google Scholar 

  18. United Nations. Convention on the rights of persons with disabilities (CRPD) 2007. Available from: https://www.un.org/development/desa/disabilities/convention-on-the-rights-of-persons-with-disabilities.html.

    Google Scholar 

  19. Brett J, Staniszewska S, Mockford C, Herron-Marx S, Hughes J, Tysall C, et al. Mapping the impact of patient and public involvement on health and social care research: a systematic review. Health Expect. 2014;17(5):637–50.

    PubMed  Google Scholar 

  20. Williams AS, Moore SM. Universal design of research: inclusion of persons with disabilities in mainstream biomedical studies. Sci Transl Med. 2011;3(82):82cm12.

    PubMed  PubMed Central  Google Scholar 

  21. Rios D, Magasi S, Novak C, Harniss M. Conducting accessible research: including people with disabilities in public health, epidemiological, and outcomes studies. Am J Public Health. 2016;106(12):2137–44.

    PubMed  PubMed Central  Google Scholar 

  22. Johansson S, Gulliksen J, Lantz A. User participation when users have mental and cognitive disabilities. In: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS ‘15. Lisbon: Association for Computing Machinery; 2015. p. 69–76.

    Google Scholar 

  23. Poli A, Kelfve S, Motel-Klingebiel A. A research tool for measuring non-participation of older people in research on digital health. BMC Public Health. 2019;19(1):1487.

    PubMed  PubMed Central  Google Scholar 

  24. Carroll P, Witten K, Calder-Dawe O, Smith M, Kearns R, Asiasiga L, et al. Enabling participation for disabled young people: study protocol. BMC Public Health. 2018;18(1):712.

    PubMed  PubMed Central  Google Scholar 

  25. Peters M, Godfrey C, McInerney P, Munn Z, Tricco A, Khalil H. Chapter 11: Scoping Reviews (2020 version). In: JBI manual for evidence synthesis: The Joanna Briggs institute; 2020. Available from: https://wiki.jbi.global/display/MANUAL/Chapter+11%3A+Scoping+reviews.

    Google Scholar 

  26. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210.

    PubMed  PubMed Central  Google Scholar 

  27. Peters MD, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB. Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc. 2015;13(3):141–6.

    PubMed  Google Scholar 

  28. DeForte S, Sezgin E, Huefner J, Lucius S, Luna J, Satyapriya AA, et al. Usability of a Mobile app for improving literacy in children with hearing impairment: focus group study. JMIR Hum Factors. 2020;7(2):e16310.

    PubMed  PubMed Central  Google Scholar 

  29. Hill AJ, Breslin HM. Refining an asynchronous Telerehabilitation platform for speech-language pathology: engaging end-users in the process. Front Hum Neurosci. 2016;10:640.

    PubMed  PubMed Central  Google Scholar 

  30. Kerkhof Y, Bergsma A, Graff M, Droes RM. Selecting apps for people with mild dementia: identifying user requirements for apps enabling meaningful activities and self-management. J Rehabil Assist Technol Eng. 2017;4:2055668317710593.

    PubMed  PubMed Central  Google Scholar 

  31. Lu MH, Lin W, Yueh HP. Development and evaluation of a cognitive training game for older people: a design-based approach. Front Psychol. 2017;8:1837.

    PubMed  PubMed Central  Google Scholar 

  32. Malu M, Findlater L. Toward accessible health and fitness tracking for people with mobility impairments. In: 10th EAI international conference on pervasive computing Technologies for Healthcare; 2016. Cancun: ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; 2016.

    Google Scholar 

  33. Winberg C, Kylberg M, Pettersson C, Harnett T, Hedvall PO, Mattsson T, et al. The use of apps for health in persons with multiple sclerosis, Parkinson's disease and stroke - barriers and facilitators. Stud Health Technol Inform. 2017;242:638–41.

    CAS  PubMed  Google Scholar 

  34. Zafeiridi P, Paulson K, Dunn R, Wolverson E, White C, Thorpe JA, et al. A web-based platform for people with memory problems and their caregivers (CAREGIVERSPRO-MMD): mixed-methods evaluation of usability. JMIR Form Res. 2018;2(1):e4.

    PubMed  PubMed Central  Google Scholar 

  35. Madrigal-Cadavid J, Amariles P, Pino-Marin D, Granados J, Giraldo N. Design and development of a mobile app of drug information for people with visual impairment. Res Soc Adm Pharm. 2020;16(1):62–7.

    Google Scholar 

  36. Singanamalla S, Potluri V, Scott C, Medhi-Thies I. PocketATM: understanding and improving ATM accessibility in India. 10th international conference on information and communication technologies and development; 2019. India: Association for Computing Machinery; 2019.

    Google Scholar 

  37. Zhou L, Saptono A, Setiawan IMA, Parmanto B. Making self-management Mobile health apps accessible to people with disabilities: qualitative single-subject study. JMIR Mhealth Uhealth. 2020;8(1):e15060.

    PubMed  PubMed Central  Google Scholar 

  38. Thirumalai M, Rimmer JH, Johnson G, Wilroy J, Young HJ, Mehta T, et al. TEAMS (tele-exercise and multiple sclerosis), a tailored Telerehabilitation mHealth app: participant-centered development and usability study. JMIR Mhealth Uhealth. 2018;6(5):e10181.

    PubMed  PubMed Central  Google Scholar 

  39. Bhattacharjya S, Stafford MC, Cavuoto LA, Yang Z, Song C, Subryan H, et al. Harnessing smartphone technology and three dimensional printing to create a mobile rehabilitation system, mRehab: assessment of usability and consistency in measurement. J Neuroeng Rehabil. 2019;16(1):127.

    PubMed  PubMed Central  Google Scholar 

  40. Groussard PY, Pigot H, Giroux S. From conception to evaluation of mobile services for people with head injury: a participatory design perspective. Neuropsychol Rehabil. 2018;28(5):667–88.

    PubMed  Google Scholar 

  41. Furberg RD, Ortiz AM, Moultrie RR, Raspa M, Wheeler AC, McCormack LA, et al. A digital decision support tool to enhance decisional capacity for clinical trial consent: design and development. JMIR Res Protoc. 2018;7(6):e10525.

    PubMed  PubMed Central  Google Scholar 

  42. Lazar J, Woglom C, Chung J, Schwartz A, Hsieh YG, Moore R, et al. Co-design process of a smart phone app to help people with Down syndrome manage their nutritional habits. J Usability Stud. 2018;13(2):73–93.

    Google Scholar 

  43. Ferati M, Babar A, Carine K, Hamidi A, Mörtberg C. Participatory design approach to internet of things: co-designing a smart shower for and with people with disabilities. In: Antona M, Stephanidis C, editors. Universal access in human-computer interaction virtual, augmented, and intelligent environments; 2018. Springer: Springer Verlag; 2018. p. 246–61.

    Google Scholar 

  44. Blair J, Abdullah S. Understanding the Needs and Challenges of Using Conversational Agents for Deaf Older Adults. In: Conference Companion Publication of the 2019 On computer supported cooperative work and social computing; 2019, vol. 2019. Austin: Association for Computing Machinery. p. 161–5.

  45. Lam MY, Tatla SK, Lohse KR, Shirzad N, Hoens AM, Miller KJ, et al. Perceptions of technology and its use for therapeutic application for individuals with hemiparesis: findings from adult and pediatric focus groups. JMIR Rehabil Assist Technol. 2015;2(1):e1.

    PubMed  PubMed Central  Google Scholar 

  46. Glaser NJ, Schmidt M, Wade SL, Smith A, Turnier L, Modi AC. The formative design of epilepsy journey: a web-based executive functioning intervention for adolescents with epilepsy. J Form Des Learn. 2017;1(2):126–35.

    PubMed  PubMed Central  Google Scholar 

  47. Albouys-Perrois J, Laviole J, Briant C, Brock AM. Towards a multisensory augmented reality map for blind and low vision people. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Montreal QC: Association for Computing Machinery; 2018. p. 1–14.

    Google Scholar 

  48. Stearns L, Findlater L, Froehlich JE. Design of an augmented reality magnification aid for low vision users. Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility; 2018. Galway: Association for Computing Machinery, Inc; 2018. p. 28–39.

    Google Scholar 

  49. Daveler B, Salatin B, Grindle GG, Candiotti J, Wang H, Cooper RA. Participatory design and validation of mobility enhancement robotic wheelchair. J Rehabil Res Dev. 2015;52(6):739–50.

    PubMed  Google Scholar 

  50. Leporini B, Buzzi M. Home automation for an independent living. Proceedings of the internet of accessible things. Lyon: Association for Computing Machinery; 2018. p. 1–9.

    Google Scholar 

  51. Kim WJ, Kim IK, Kim MJ, Lee E. Effect of UX Design Guideline on the information accessibility for the visually impaired in the mobile health apps. In: 2018 IEEE international conference on bioinformatics and biomedicine (BIBM); 2018. Madrid; 2018. p. 1103–6.

  52. Arnott J, Malone M, Lloyd G, Brophy-Arnott B, Munro S, McNaughton R. Involving people with cognitive and communication impairments in Mobile health app design. In: Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility. Galway: Association for Computing Machinery; 2018. p. 367–9.

    Google Scholar 

  53. Schmutz S, Sonderegger A, Sauer J. Effects of accessible website design on nondisabled users: age and device as moderating factors. Ergonomics. 2018;61(5):697–709.

    PubMed  Google Scholar 

  54. Horton S, Sloan D. Accessibility in practice: a process-driven approach to accessibility: Inclusive Designing: Springer; 2014. p. 105–15.

    Google Scholar 

  55. Fuglerud KS. Inclusive design of ICT: the challenge of diversity: University of Oslo, Faculty of Humanitites; 2014.

    Google Scholar 

  56. van der Kleij R, Kasteleyn MJ, Meijer E, Bonten TN, Houwink EJF, Teichert M, et al. SERIES: eHealth in primary care. Part 1: concepts, conditions and challenges. Eur J Gen Pract. 2019;25(4):179–89.

    PubMed  PubMed Central  Google Scholar 

  57. Were MC, Sinha C, Catalani C. A systematic approach to equity assessment for digital health interventions: case example of mobile personal health records. J Am Med Inform Assoc. 2019;26(8–9):884–90.

    PubMed  PubMed Central  Google Scholar 

  58. Veinot TC, Mitchell H, Ancker JS. Good intentions are not enough: how informatics interventions can worsen inequality. J Am Med Inform Assoc. 2018;25(8):1080–8.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgments

We would like to thank Hilde Iren Flaatten, Medical Librarian, University of Oslo Medical Library for her contribution to the literature search. We are also grateful for initial contribution to this scoping review by Line Linstad, Norwegian Centre for eHealthresearch, Tromsø, Norway.

Funding

The research was conducted in INNSIKT network, co-funded by a grant from The Research Council of Norway, Project number 286854, University of Oslo and network partners. The funding has not affected the how the study was conducted or the writing of the manuscript.

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Affiliations

  1. Department of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, P.O. Box 1130, Blindern, NO-0318, Oslo, Norway

    Silje Havrevold Henni, Sigurd Maurud & Anne Moen

  2. Norwegian Computing Center, P.O. Box 114, Blindern, N-0314, Oslo, Norway

    Kristin Skeide Fuglerud

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  1. Silje Havrevold Henni
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  4. Anne Moen
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Contributions

SHH wrote the first draft of the manuscript and led the review process. KSF and AM determined the design and focus of the study. SHH, KSF and AM were involved in protocol development and literature search. SHH, SM and AM conducted the screening of the sources and data extraction. All authors reviewed and edited the manuscript and approved the final version of the manuscript.

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Correspondence to Silje Havrevold Henni.

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Henni, S.H., Maurud, S., Fuglerud, K.S. et al. The experiences, needs and barriers of people with impairments related to usability and accessibility of digital health solutions, levels of involvement in the design process and strategies for participatory and universal design: a scoping review. BMC Public Health 22, 35 (2022). https://doi.org/10.1186/s12889-021-12393-1

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Keywords

  • Disability
  • Digital health
  • Health services accessibility
  • User participation
  • Participatory design
  • Universal design
  • Inclusive design

BMC Public Health

ISSN: 1471-2458

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