Use of the My Health Record by people with communication disability in Australia: A review to inform the design and direction of future research

The Implementation of Federated Digital Identifiers in Health Care: Rapid Review

BACKGROUND

Federated digital identifiers (FDIs) have been cited to improve the interoperability of data and information management while enhancing the privacy of individuals verifying their identity on the web. Many countries around the world have implemented FDIs in various sectors, such as banking and government. Similarly, FDIs could improve the experience for those wanting to access their health care information; however, they have only been introduced in a few jurisdictions around the world, and their impact remains unclear.

OBJECTIVE

The main objective of this environmental scan was to describe how FDIs have been established and implemented to enable patients' access to health care.

METHODS

We conducted this study in 2 stages, with the primary stage being a rapid review, which was supplemented by a targeted gray literature search. Specifically, the rapid review was conducted through a database search of MEDLINE and Embase, which generated a list of countries and their services that use FDIs in health care. This list was then used to conduct a targeted gray literature search using the Google search engine.

RESULTS

A total of 93 references from the database and targeted Google searches were included in this rapid review. FDIs were implemented in health care in 11 countries (Australia, Belgium, Canada, Denmark, Estonia, Finland, Iceland, Norway, Singapore, Sweden, and Taiwan) and exclusively used with a patient-accessible electronic health record system through a single sign-on interface. The most common FDIs were implemented nationally or provincially, and establishing them usually required individuals to visit a bank or government office in person. In contrast, some countries, such as Australia, allow individuals to verify their identities entirely on the web. We found that despite the potential of FDIs for use in health care to facilitate the amalgamation of health information from different data sources into one platform, the adoption of most health care services that use FDIs remained below 30%. The exception to this was Australia, which had an adoption rate of 90%, which could be correlated with the fact that it leveraged an opt-out consent model.

CONCLUSIONS

This rapid review highlights key features of FDIs across regions and elements associated with higher adoption of the patient-accessible electronic health record systems that use them, like opt-out registration. Although FDIs have been reported to facilitate the collation of data from multiple sources through a single sign-on interface, there is little information on their impact on care or patient experience. If FDIs are used to their fullest potential and implemented across sectors, adoption rates within health care may also improve.

Prevalence and sociodemographic characteristics of US community-dwelling older adults with communication disabilities, using the national health and aging trends survey

INTRODUCTION

Identifying the population-level prevalence of a disability group is a prerequisite to monitoring their inclusion in society. The prevalence and sociodemographic characteristics of older adults with communication disabilities (CDs) are not well established in the literature. In this study we sought to describe the prevalence and sociodemographic characteristics of community-dwelling older adults experiencing difficulties with understanding others or being understand when communicating in their usual language.

METHODS

We conducted a cross-sectional analysis of the National Health and Aging Trends Survey (2015), a nationally representative survey of Medicare beneficiaries ages ≥ 65 years old (N = 7,029). We calculated survey weight-adjusted prevalence estimates by mutually exclusive subgroups of no, hearing only, expressive-only, cognitive only, multiple CDs, and an aggregate any-CD prevalence. We described race/ethnicity, age, gender, education, marital status, social network size, federal poverty status, and supplemental insurance for all groups. Pearson's chi-squared statistic was used to compare sociodemographic characteristics between the any-CD and no-CD groups.

RESULTS

An estimated 25.3% (10.7 million) of community-dwelling older adults in the US experienced any-CDs in 2015; approximately 19.9% (8.4 million) experienced only one CD while 5.6% (2.4 million) had multiple. Older adults with CDs were more likely to be of Black race or Hispanic ethnicity as compared to older adults without CDs (Black 10.1 vs. 7.6%; Hispanic: 12.5 vs. 5.4%; P < 0.001). They also had lower educational attainment (Less than high school: 31.0 vs 12.4%; P < 0.001), lower poverty levels (<100% Federal poverty level: 23.5% vs. 11.1%; P < 0.001) and less social supports (Married: 51.3 vs. 61.0%; P < 0.001; Social network ≤ 1 person: 45.3 vs 36.0%; P < 0.001).

CONCLUSIONS

The proportion of the older adult population experiencing any-CDs is large and disproportionately represented by underserved sociodemographic groups. These findings support greater inclusion of any-CDs into population-level efforts like national surveys, public health goals, health services, and community research aimed at understanding and addressing the access needs of older adults who have disabilities in communication.

Health Information and the Quality and Safety of Care for People With Disability: An Analysis of Australian Reports of Reviewable Deaths in Residential Care

OBJECTIVE

Many Australians with disability live in residential care and require assistance to manage their health information across hybrid care settings encompassing residential care, primary and tertiary care, and allied health. In this study, we examined case study reports on people with disability living in residential care in New South Wales, Australia to (a) identify threats to the quality of care and safety for this vulnerable patient group in relation to health documentation and information infrastructure and (b) evaluate the applicability of a conceptual health information infrastructure model.

METHODS

All 99 case studies were extracted from eight New South Wales Ombudsmen reports of reviewable deaths for a directed content analysis applying a conceptual model of health information infrastructure in residential care.

RESULTS

Ninety-one percent of case studies (n = 90) contained information relation to documentation. Forty-seven percent of case studies (n = 47) linked failures in documentation to risk of death, and 12% (n = 12) described best practice use of documentation. Threats to quality of care and safety related to poor "coordination" of information, including information not being implemented, poor "communication" across services, and discrepancies between "policy and practice" in health management.

CONCLUSIONS

The conceptual model demonstrated how "coordination" and "communication" of health information relate to tensions between "policy and practice," influencing the safety and quality of care for people with disability in residential care. The model was a good fit to investigate how health information infrastructure may affect the quality of residential care and could inform holistic digital solutions to deliver safer, integrated, and higher quality care for people with disability.

Understanding digital health ecosystem from Australian citizens' perspective: A scoping review

BACKGROUND

Digital health (DH) and the benefits of related services are fairly well understood. However, it still is critical to map the digital health care landscape including the key elements that define it as an ecosystem. Particularly, knowing the perspectives of citizens on this digital transformation is an important angle to capture. In this review we aim to analyze the relevant studies to identify how DH is understood and experienced by Australian citizens and what they may require from DH platforms.

MATERIALS AND METHODS

A scoping literature review was conducted across several electronic databases (ACM Digital Library, OVID, PubMed, Scopus, IEEE, Science Direct, SAGE), as well as grey literature. Additionally, citation mining was conducted to identify further relevant studies. Identified studies were subjected to eligibility criteria and the final set of articles was independently reviewed, analyzed, discussed and interpreted by three reviewers.

RESULTS

Of 3811 articles, 98 articles met the inclusion criteria with research-based articles-as opposed to review articles or white papers- comprising the largest proportion (72%) of the selected literature. The qualitative analysis of the literature revealed five key elements that capture the essence of the digital health ecosystem interventions from the viewpoint of the Australian citizens. The identified elements were "consumer/user", "health care", "technology", "use and usability", "data and information". These elements were further found to be associated with 127 subcategories.

CONCLUSIONS

This study is the first of its kind to analyze and synthesize the relevant literature on DH ecosystems from the citizens' perspective. Through the lens of two research questions, this study defines the key components that were found crucial to understanding citizens' experiences with DH. This understanding lays a strong foundation for designing and fostering DH ecosystem. The results provide a solid ground for empirical testing.

Energy efficiency in software: A case study on sustainability in personal health records

A personal health record is an eHealth technology in which users can observe their progress over time for a given condition. A research gap was identified in the literature concerning the study of the amount of energy that these systems need for their operation, and the energy efficiency that may be attained depending on their design. After the selection of five representative personal health records, a total of 20 tasks commonly done, and based on previous work, were performed with regard to two proposed scenarios, namely patient use and health personnel usage. The power consumption of the main components of a host machine was measured during the performance of the proposed duties. To that end, a hardware tool called the Energy Efficiency Tester was employed. The data collected were analyzed statistically, and significant differences were found in the respective consumption of the display (χ² (4) = 23.782, p = 0.000), the processor (χ² (4) = 29.018, p = 0.000) and the whole PC (χ² (4) = 28.582, p = 0.000). For all of these components, NoMoreClipBoard was the personal health record that required the least energy (57.699 W for the display, 3.162 W for the processor and 181.113 W for the whole PC). A total of two strong correlations were found in the energy consumption between the hard disk and the graphics card (r = 0.791, p < 0.001), and the processor and the PC (r = 0.950, p < 0.001). Some features generated special amounts of power consumption, such as the news wall found on PatientsLikeMe, or the use of load icons that had an impact on most PC components. In addition, an in-depth analysis of the user interfaces was performed. A discussion was carried out on the design of the user interfaces, also taking into account recommendations drawn from the literature, checking for their implementation in the personal health records selected. With the aim of promoting sustainability among software developers, a best practice guideline on sustainable software design was proposed. Basic sustainability recommendations were collected for professionals to consider when developing a software system in general, and a personal health record in particular.

Assessing the information quality and usability of My Health Record within a health literacy framework: What's changed since 2016?

BACKGROUND

This study examined the health literacy demands of My Health Record (MyHR) in the context of preparing for a government-announced opt-out system by repeating two studies of health information and usability conducted in 2016.

OBJECTIVE

To examine whether Australia's MyHR meets the information and usability needs of people at risk of low health literacy and changes since 2016.

METHOD

Content analysis: Informed by the 2016 methods and findings, measures of information quality, themes and target audiences were recorded and reported for each online consumer-facing health information resource. Heuristic evaluation: An evaluation of the MyHR and supporting information website was conducted using a predetermined checklist of usability criteria. A list of usability violations for both websites was identified.

RESULTS

Total number of resources grew from 80 in 2016 to 233 in 2018. There was little change since 2016 to average readability levels, target audiences, presentation style, links between resources and usability of MyHR. Compared to 2016, this study demonstrated increases in resources from non-government organisations; video resources; translated resources; and resources with themes of privacy, security and post-registration use.

CONCLUSION

This study identified some improvements in information quality since 2016, but gaps remain in information quality and usability which may negatively impact the ability for people with low health literacy to access and use MyHR.

IMPLICATIONS

This study provides a framework for ongoing monitoring and evaluation of the suitability of MyHR for people at risk of low health literacy.

Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia

Background

There is an escalating crisis in health care, locally and internationally. The current health care model is unable to meet the increasing health care demands.

Objective

The aim of this study was to reconceptualize the provision of health care to produce better outcomes at no greater cost, by placing individuals in the position of authority to direct their own care, in a personalized, integrated health care system.

Methods

In this study, we used the Australian health care system as a model. We reviewed the current landscape of digital health in Australia and discussed how electronic medical records (EMRs) can be further developed into a personalized, integrated health care system.

Results

Some components of an EMR and digital health system are already being used in Australia, but the systems are not linked. A personalized, integrated health care model that is responsive to consumer needs requires not just a passive repository of medical information; it would require a team approach, including the government, health care funders, industries, consumers and advocacy groups, health care professionals, community groups, and universities.

Conclusions

Implementation of a personalized, integrated health care system can result in reduced pressure on the current health care system, and it can result in the delivery of best-practice health care, regardless of location. Importantly, a personalized, integrated health care system could serve as an education platform, “upskilling” not only clinicians but also, more importantly, patients and carers by providing them with accurate information about their condition, treatment options, medications, and management strategies. By proposing personalized, integrated health care, we offer an intelligent model of health care that is ubiquitous, efficient, and continuously improving.

Health Information Infrastructure for People with Intellectual and Developmental Disabilities (I/DD) Living in Supported Accommodation: Communication, Co-Ordination and Integration of Health Information

People with intellectual and/or developmental disability (I/DD) commonly have complex health care needs, but little is known about how their health information is managed in supported accommodation, and across health services providers. This study aimed to describe the current health information infrastructure (i.e., how data and information are collected, stored, communicated, and used) for people with I/DD living in supported accommodation in Australia. It involved a scoping review and synthesis of research, policies, and health documents relevant in this setting. Iterative database and hand searches were conducted across peer-reviewed articles internationally in English and grey literature in Australia (New South Wales) up to September 2015. Data were extracted from the selected relevant literature and analyzed for content themes. Expert stakeholders were consulted to verify the authors' interpretations of the information and content categories. The included 286 sources (peer-reviewed n = 27; grey literature n = 259) reflect that the health information for people with I/DD in supported accommodation is poorly communicated, coordinated and integrated across isolated systems. 'Work-as-imagined' as outlined in policies, does not align with 'work-as-done' in reality. This gap threatens the quality of care and safety of people with I/DD in these settings. The effectiveness of the health information infrastructure and services for people with I/DD can be improved by integrating the information sources and placing people with I/DD and their supporters at the centre of the information exchange process.

The E-health Literacy Demands of Australia's My Health Record: A Heuristic Evaluation of Usability

Background

My Health Record is Australia's electronic personal health record system, which was introduced in July 2012. As of August 2017, approximately 21 percent of Australia's total population was registered to use My Health Record. Internationally, usability issues have been shown to negatively influence the uptake and use of electronic health record systems, and this scenario may particularly affect people who have low e-health literacy. It is likely that usability issues are negatively affecting the uptake and use of My Health Record in Australia.

Objective

To identify potential e-health literacy-related usability issues within My Health Record through a heuristic evaluation method.

Methods

Between September 14 and October 12, 2016, three of the authors conducted a heuristic evaluation of the two consumer-facing components of My Health Record-the information website and the electronic health record itself. These two components were evaluated against two sets of heuristics-the Health Literacy Online checklist and the Monkman Heuristics. The Health Literacy Online checklist and Monkman Heuristics are evidence-based checklists of web design elements with a focus on design for audiences with low health literacy. During this heuristic evaluation, the investigators individually navigated through the consumer-facing components of My Health Record, recording instances where the My Health Record did not conform to the checklist criteria. After the individual evaluations were completed, the investigators conferred and aggregated their results. From this process, a list of usability violations was constructed.

Results

When evaluated against the Health Literacy Online Checklist, the information website demonstrated violations in 12 of 35 criteria, and the electronic health record demonstrated violations in 16 of 35 criteria. When evaluated against the Monkman Heuristics, the information website demonstrated violations in 7 of 11 criteria, and the electronic health record demonstrated violations in 9 of 11 criteria. The identified violations included usability issues with the reading levels used within My Health Record, the graphic design elements, the layout of web pages, and a lack of images and audiovisual tools to support learning. Other important usability issues included a lack of translated resources, difficulty using accessibility tools, and complexity of the registration processes.

Conclusion

My Health Record is an important piece of technology that has the potential to facilitate better communication between consumers and their health providers. However, this heuristic evaluation demonstrated that many usability-related elements of My Health Record cater poorly to users at risk of having low e-health literacy. Usability issues have been identified as an important barrier to use of personal health records internationally, and the findings of this heuristic evaluation demonstrate that usability issues may be substantial barriers to the uptake and use of My Health Record.