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.
Aim Given the apparent link between gender and ethnicity, and the diversity and career opportunities in nursing, this study examined gender and ethnicity's influence on first‐year nursing students' educational motivation and career expectations. Design Cross‐sectional. Methods Through bootstrapped linear regressions, we analysed data on 504 Norwegian first‐year nursing students' self‐reported educational motivation and career expectations, from the StudData survey at the Centre for the Study of Professions (SPS) at Oslo Metropolitan University (OsloMet). Results The sample consisted of 67 (13%) male and 437 (87%) female nursing students. Female students were more motivated compared to male students by professional interest and to pursue a specialization, less likely to assume leadership positions in the future, and more likely to prioritize family and pursue positions in the traditional nursing field. In total, 425 (84%) respondents stated a Norwegian background. Respondents who stated that both of their parents were born in a country other than Norway made up the 79 (16%) students of immigrant background. Those with immigrant backgrounds were more motivated than other students by income, status and flexible working hours and less likely to pursue a specialization or future employment in the nursing field.
Objectives: Through a scoping review, we examine in this survey what ways health equity has been promoted in clinical research informatics with patient implications and especially published in the year of 2021 (and some in 2022). Method: A scoping review was conducted guided by using methods described in the Joanna Briggs Institute Manual. The review process consisted of five stages: 1) development of aim and research question, 2) literature search, 3) literature screening and selection, 4) data extraction, and 5) accumulate and report results. Results: From the 478 identified papers in 2021 on the topic of clinical research informatics with focus on health equity as a patient implication, 8 papers met our inclusion criteria. All included papers focused on artificial intelligence (AI) technology. The papers addressed health equity in clinical research informatics either through the exposure of inequity in AI-based solutions or using AI as a tool for promoting health equity in the delivery of healthcare services. While algorithmic bias poses a risk to health equity within AI-based solutions, AI has also uncovered inequity in traditional treatment and demonstrated effective complements and alternatives that promotes health equity. Conclusions: Clinical research informatics with implications for patients still face challenges of ethical nature and clinical value. However, used prudently—for the right purpose in the right context—clinical research informatics could bring powerful tools in advancing health equity in patient care.
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