Quality Assurance in eHealth for Consumers

Stahl, Linda; Spatz, Michele

doi:10.1300/j381v07n01_03

Cited by 10 publications

(5 citation statements)

References 3 publications

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“…For future applications, it is essential to consider patients’ eHealth literacy before using a digital triage tool as the primary tool in daily general practice [ 30 , 31 ]; hybrid care might be a solution to address all types of patients. Finally, it is important to realize that the tool in the care pathway needs to stay up-to-date and needs to be changed when the medical guidelines are updated [ 32 ]. This study showed that (holistic) factors that are not part of the digital triage tool affect GPs’ decision-making.…”

Section: Discussionmentioning

confidence: 99%

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners’ Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners

Schnoor,

Versluis,

Chavannes

et al. 2024

JMIR Hum Factors

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Background Digital triage tools for sexually transmitted infection (STI) testing can potentially be used as a substitute for the triage that general practitioners (GPs) perform to lower their work pressure. The studied tool is based on medical guidelines. The same guidelines support GPs’ decision-making process. However, research has shown that GPs make decisions from a holistic perspective and, therefore, do not always adhere to those guidelines. To have a high-quality digital triage tool that results in an efficient care process, it is important to learn more about GPs’ decision-making process. Objective The first objective was to identify whether the advice of the studied digital triage tool aligned with GPs’ daily medical practice. The second objective was to learn which factors influence GPs’ decisions regarding referral for diagnostic testing. In addition, this study provides insights into GPs’ decision-making process. Methods A qualitative vignette-based study using semistructured interviews was conducted. In total, 6 vignettes representing patient cases were discussed with the participants (GPs). The participants needed to think aloud whether they would advise an STI test for the patient and why. A thematic analysis was conducted on the transcripts of the interviews. The vignette patient cases were also passed through the digital triage tool, resulting in advice to test or not for an STI. A comparison was made between the advice of the tool and that of the participants. Results In total, 10 interviews were conducted. Participants (GPs) had a mean age of 48.30 (SD 11.88) years. For 3 vignettes, the advice of the digital triage tool and of all participants was the same. In those vignettes, the patients’ risk factors were sufficiently clear for the participants to advise the same as the digital tool. For 3 vignettes, the advice of the digital tool differed from that of the participants. Patient-related factors that influenced the participants’ decision-making process were the patient’s anxiety, young age, and willingness to be tested. Participants would test at a lower threshold than the triage tool because of those factors. Sometimes, participants wanted more information than was provided in the vignette or would like to conduct a physical examination. These elements were not part of the digital triage tool. Conclusions The advice to conduct a diagnostic STI test differed between a digital triage tool and GPs. The digital triage tool considered only medical guidelines, whereas GPs were open to discussion reasoning from a holistic perspective. The GPs’ decision-making process was influenced by patients’ anxiety, willingness to be tested, and age. On the basis of these results, we believe that the digital triage tool for STI testing could support GPs and even replace consultations in the future. Further research must substantiate how this can be done safely.

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Section: Discussionmentioning

confidence: 99%

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners’ Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners

Schnoor,

Versluis,

Chavannes

et al. 2024

JMIR Hum Factors

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“…Establishment of direction and commitment to e-health is imperative and unavoidable for the health care community. The direction has been set by the more than 110 million consumers of e-health on the Internet today (Stahl & Spatz, 2003) and healthcare providers who have embraced the efficiency, consumer competency and speed that technology has brought to healthcare practice. Healthcare systems are rapidly developing new and innovative infrastructures to support electronic health delivery and consumption while carefully marrying e-health concepts to the traditional hardcopy methods of health services delivery.…”

Section: Discussionmentioning

confidence: 99%

Exploring Linkages between Quality, E-Health and Healthcare Education

Pate

Turner-Ferrier

2010

International Journal of Healthcare Delivery Reform Initiatives

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This chapter explores the concept of e-health as it relates to healthcare delivery, healthcare quality and education. Although the concept of e-health is emerging and lacks clear definition, a body of literature in healthcare policy and organization has focused on many of themes and ideas that are relevant to the study of e-health. This chapter introduces several frameworks and concepts that are essential for an inquiry into the relationships between e-health and quality-related outcomes in healthcare and educational settings. This chapter addresses these relationships by discussing and defining the concept of e-health, discussing central linkages between e-health and quality-related healthcare outcomes, and highlighting key themes between health education, technology and quality.

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“…the capacity of evaluating the credibility, quality and relevancy of health information, e.g. applications' feedback messages, provided in the cyberspace (Stahl & Spatz, 2003), 2) the lack of having standard labelling in this domain (Ali, Jiang, Phalp, Muir, & McAlaney, 2015) or 3) users' tendency to convince themselves that the change is sufficient and labelling is used as an evidence.…”

Section: Risk 3: Creating Misconceptionsmentioning

confidence: 99%

Exploring the Risk Factors of Interactive E-Health Interventions for Digital Addiction

Alrobai

McAlaney

Phalp

et al. 2016

International Journal of Sociotechnology and Knowledge Development

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Digital Addiction refers to a problematic usage of digital devices characterised by being excessive, compulsive, impulsive and hasty. It is often associated with negative life experience such as anxiety and depression. To combat Digital Addiction, interactive e-health intervention applications started to appear to aid users adjust their usage style. The present study aims to understand the risks related to such e-health interventions. The authors conducted an empirical research to investigate such risks from users' perspectives through a diary study. Fourteen participants were recruited and asked to install popular “digital diet” applications and use them for two weeks and record their significant moments. The authors then interviewed the participants to discuss their experience. Self-governed interactive e-health intervention for digital addiction could lead to adverse side effects such as lower self-esteem, misconception of the healthy usage and creating an alternative addictive experience. Thus, there is a need for theory-based development and rigorous testing for such e-health solutions.

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Quality Assurance in eHealth for Consumers

Cited by 10 publications

References 3 publications

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners’ Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners’ Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners

Exploring Linkages between Quality, E-Health and Healthcare Education

Exploring the Risk Factors of Interactive E-Health Interventions for Digital Addiction

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