Back to the Basics

Author(s):  
Reshma Prashad ◽  
Mei Chen

Health literacy is a critical foundation that needs to be considered prior to the development and deployment of consumer e-health technologies. The authors indicate the problems associated with the lack of effective health literacy strategies in current consumer e-health interventions and then present a patient-centered, disease-specific, task-relevant, and contextualized health literacy approach. The goal of such an approach is to help patients better understand their illnesses make sense of their health data, make informed decisions, and more effectively manage their health conditions. The authors make five recommendations concerning health literacy in order to make e-health interventions effective. They also describe next-generation health literacy interventions that take advantage of emerging technologies such as speech recognition, natural language processing, artificial intelligence, automatic translation, and augmented reality. Finally, the authors point out a research and development direction towards an intelligent, integrated, and connected consumer e-health solution.

Author(s):  
Reshma Prashad ◽  
Mei Chen

Health literacy is a critical foundation that needs to be considered prior to the development and deployment of consumer e-health technologies. The authors indicate the problems associated with the lack of effective health literacy strategies in current consumer e-health interventions and then present a patient-centered, disease-specific, task-relevant, and contextualized health literacy approach. The goal of such an approach is to help patients better understand their illnesses make sense of their health data, make informed decisions, and more effectively manage their health conditions. The authors make five recommendations concerning health literacy in order to make e-health interventions effective. They also describe next-generation health literacy interventions that take advantage of emerging technologies such as speech recognition, natural language processing, artificial intelligence, automatic translation, and augmented reality. Finally, the authors point out a research and development direction towards an intelligent, integrated, and connected consumer e-health solution.


2019 ◽  
Author(s):  
Ignatius Bau ◽  
Robert A. Logan ◽  
Christopher Dezii ◽  
Bernard Rosof ◽  
Alicia Fernandez ◽  
...  

The authors of this paper recommend the integration of health care quality improvement measures for health literacy, language access, and cultural competence. The paper also notes the importance of patient-centered and equity-based institutional performance assessments or monitoring systems. The authors support the continued use of specific measures such as assessing organizational system responses to health literacy or the actual availability of needed language access services such as qualified interpreters as part of overall efforts to maintain quality and accountability. Moreover, this paper is informed by previous recommendations from a commissioned paper provided by the National Committee for Quality Assurance (NCQA) to the Roundtable on Health Literacy of the National Academies of Sciences, Engineering, and Medicine. In the commissioned paper, NCQA explained that health literacy, language access, and cultural competence measures are siloed and need to generate results that enhance patient care improvements. The authors suggest that the integration of health literacy, language access, and cultural competence measures will provide for institutional assessment across multiple dimensions of patient vulnerabilities. With such integration, health care organizations and providers will be able to cultivate the tools needed to identify opportunities for quality improvement as well as adapt care to meet diverse patients’ complex needs. Similarly, this paper reinforces the importance of providing more “measures that matter” within clinical settings.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sophie Turnbull ◽  
Patricia J. Lucas ◽  
Alastair D. Hay ◽  
Christie Cabral

Abstract Background Type 2 Diabetes (T2D) is a common chronic disease, with socially patterned incidence and severity. Digital self-care interventions have the potential to reduce health disparities, by providing personalised low-cost reusable resources that can increase access to health interventions. However, if under-served groups are unable to access or use digital technologies, Digital Health Technologies (DHTs) might make no difference, or worse, exacerbate health inequity. Study aims To gain insights into how and why people with T2D access and use DHTs and how experiences vary between individuals and social groups. Methods A purposive sample of people with experience of using a DHT to help them self-care for T2D were recruited through diabetes and community groups. Semi-structured interviews were conducted in person and over the phone. Data were analysed thematically. Results A diverse sample of 21 participants were interviewed. Health care practitioners were not viewed as a good source of information about DHTs that could support T2D. Instead participants relied on their digital skills and social networks to learn about what DHTs are available and helpful. The main barriers to accessing and using DHT described by the participants were availability of DHTs from the NHS, cost and technical proficiency. However, some participants described how they were able to draw on social resources such as their social networks and social status to overcome these barriers. Participants were motivated to use DHTs because they provided self-care support, a feeling of control over T2D, and personalised advice or feedback. The selection of technology was also guided by participants’ preferences and what they valued in relation to DHTs and self-care support, and these in turn were influenced by age and gender. Conclusion This research indicates that low levels of digital skills and high cost of digital health interventions can create barriers to the access and use of DHTs to support the self-care of T2D. However, social networks and social status can be leveraged to overcome some of these challenges. If digital interventions are to decrease rather than exacerbate health inequalities, these barriers and facilitators to access and use must be considered when DHTs are developed and implemented.


2011 ◽  
Vol 16 (sup3) ◽  
pp. 22-29 ◽  
Author(s):  
Sarah E. Johnson ◽  
Cynthia Baur ◽  
Helen I. Meissner

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Homamodin Javadzade ◽  
Azam Larki ◽  
Rahim Tahmasebi ◽  
Mahnoush Reisi

The purpose of this study is to assess the effectiveness of a theory-based self-care intervention with the application of health literacy strategies in patients with high blood pressure and limited health literacy. This is a randomized controlled trial, with measurements at baseline and 1 and 3 months follow-up. 100 patients with high blood pressure and limited health literacy will be randomly allocated to either an intervention group or a usual care control group. We will mainly establish the intervention model based on the principal health belief model components. Patients randomized to the intervention group will receive four educational sessions during four weeks. Considering the limited health literacy level of the patients of the study, health literacy strategies will be used in educational material design for enhancing the quality of the intervention. In order to cover these strategies, we will design four standard animated comics and fact sheets with illustrations and photos consistent with the health belief model constructs and educational sessions’ topics. Data will be collected using some questionnaires and will be analyzed using the SPSS software. The findings of this study may assist with the development of a theoretical model for self-care intervention in patients with high blood pressure and limited health literacy.


BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e019192 ◽  
Author(s):  
Sharon Parker ◽  
Amy Prince ◽  
Louise Thomas ◽  
Hyun Song ◽  
Diana Milosevic ◽  
...  

ObjectivesThe objective of this review was to assess the benefit of using electronic, mobile and telehealth tools for vulnerable patients with chronic disease and explore the mechanisms by which these impact patient self-efficacy and self-management.DesignWe searched MEDLINE, all evidence-based medicine, CINAHL, Embase and PsychINFO covering the period 2009 to 2018 for electronic, mobile or telehealth interventions. Quality was assessed according to rigour and relevance. Those studies providing a richer description (‘thick’) were synthesised using a realist matrix.Setting and participantsStudies of any design conducted in community-based primary care involving adults with one or more diagnosed chronic health condition and vulnerability due to demographic, geographic, economic and/or cultural characteristics.ResultsEighteen trials were identified targeting a range of chronic conditions and vulnerabilities. The data provided limited insight into the mechanisms underpinning these interventions, most of which sought to persuade vulnerable patients into believing they could self-manage their conditions through improved symptom monitoring, education and support and goal setting. Patients were relatively passive in the interaction, and the level of patient response attributed to their intrinsic level of motivation. Health literacy, which may be confounded with motivation, was only measured in one study, and eHealth literacy was not assessed.ConclusionsResearch incorporating these tools with vulnerable groups is not comprehensive. Apart from intrinsic motivation, health literacy may also influence the reaction of vulnerable groups to technology. Social persuasion was the main way interventions sought to achieve better self-management. Efforts to engage patients by healthcare providers were lower than expected. Use of social networks or other eHealth mechanisms to link patients and provide opportunities for vicarious experience could be further explored in relation to vulnerable groups. Future research could also assess health and eHealth literacy and differentiate the specific needs for vulnerable groups when implementing health technologies.


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