Understanding Digital Health Technologies Using Mind Maps

Seckman, Charlotte; Castle, Barbara Van de

doi:10.1111/jnu.12611

Cited by 10 publications

(13 citation statements)

References 21 publications

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“…Digital health is the integration of digital technology and health information with the aim of increasing the efficiency of health care delivery and improving the health of patients [ 8 ]. Digital health technology is the adoption of digital technology in health, with examples being seen in electronic health records, telemedicine or telehealth services, robotics, and eHealth, along with mobile health supported by the use of smartphones, wearables, mobile apps, and various monitoring devices [ 9 - 11 ].…”

Section: Introductionmentioning

confidence: 99%

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Yao¹,

Wen-li²,

Evans³

et al. 2022

J Med Internet Res

166

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Background Digital health technologies (ie, the integration of digital technology and health information) aim to increase the efficiency of health care delivery; they are rapidly adapting to health care contexts to provide improved medical services for citizens. However, contrary to expectations, their rapid adoption appears to have led to health inequities, with differences in health conditions or inequality in the distribution of health care resources among different populations. Objective This scoping review aims to identify and describe the inequities of health care services brought about by the adoption of digital health technologies. The factors influencing such inequities, as well as the corresponding countermeasures to ensure health equity among different groups of citizens, were also studied. Methods Primary studies and literature, including articles and reviews, published in English between 1990 and 2020 were retrieved using appropriate search strategies across the following three electronic databases: Clarivate Analytics’ Web of Science, PubMed, and Scopus. Data management was performed by two authors (RY and WZ) using Thomson Endnote (Clarivate Analytics, Inc), by systematically screening and identifying eligible articles for this study. Any conflicts of opinion were resolved through discussions with the corresponding author. A qualitative descriptive synthesis was performed to determine the outcomes of this scoping review. Results A total of 2325 studies were collected during the search process, of which 41 (1.76%) papers were identified for further analysis. The quantity of literature increased until 2016, with a peak in 2020. The United States, the United Kingdom, and Norway ranked among the top 3 countries for publication output. Health inequities caused by the adoption of digital health technologies in health care services can be reflected in the following two dimensions: the inability of citizens to obtain and adopt technology and the different disease outcomes found among citizens under technical intervention measures. The factors that influenced inequities included age, race, region, economy, and education level, together with health conditions and eHealth literacy. Finally, action can be taken to alleviate inequities in the future by government agencies and medical institutions (eg, establishing national health insurance), digital health technology providers (eg, designing high-quality tools), and health care service recipients (eg, developing skills to access digital technologies). Conclusions The application of digital health technologies in health care services has caused inequities to some extent. However, existing research has certain limitations. The findings provide a comprehensive starting point for future research, allowing for further investigation into how digital health technologies may influence the unequal distribution of health care services. The interaction between individual subjective factors as well as social support and influencing factors should be included in future studies. Specifically, access to and availability of digital health technologies for socially disadvantaged groups should be of paramount importance.

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Section: Introductionmentioning

confidence: 99%

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Yao¹,

Wen-li²,

Evans³

et al. 2022

J Med Internet Res

166

View full text Add to dashboard Cite

show abstract

“…The process of mind mapping is similar to the pattern of neural networks in the brain and is a method to realize radioactive thinking [5][6][7]. Mind mapping allows residents to draw different images and build their own brain maps vividly using lines, colors, pictures, arrows and multidimensional graphics, by which they can sort out knowledge from the overall level, build a knowledge structure and integrate it from the overall perspective.…”

Section: Discussionmentioning

confidence: 99%

“…Mind mapping, as a scienti c and effective learning tool invented in 2010, can help residents summarize their knowledge and better grasp clinical knowledge [5]. It uses the technique of focusing on both graphics and text to show the relationship between the topics at all levels with mutual a liation and related hierarchical diagrams and to establish the memory link of the topic keywords with images and colors [5][6][7]. Mind mapping is based on the characteristics of brain radioactivity as expressed through graphs [8].…”

Section: Introductionmentioning

confidence: 99%

Application Value of Mind Mapping and Self-Drawing in the Residency Standardized Training Examination During the COVID-19 pandemic

Lin

Zhang

Pan

et al. 2023

Preprint

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Purpose To explore the effect of mind mapping and self-drawing on medical residents preparing for the standardized national residency training examination. Methods Eighteen residents (third year) in an ultrasound program were enrolled in this study. All residents used traditional methods plus mind mapping and self-drawing to study for the examination. The effect of the learning methods on residents was evaluated and analyzed by test scores and surveys. Results The mean pretest score was 74.33 ± 11.08, compared to a mean posttest score of 89.54 ± 4.21. For each body system— urology, obstetrics/gynecology, cardiology and alimentary system— posttest scores were significantly higher than pretest scores (P < 0.01). The difference was not significant for the superficial and general principles of the ultrasound system (P = 0.94, 0.13). However, overall, residents obtained significantly higher practical posttest scores than those on the pretest (P < 0.01), and the level of satisfaction among residents was high(94.4%). Conclusions Mind mapping and self-drawing can be applied to the review process for standardized residency training examinations and can help medical residents improve review efficiency and retain medical knowledge.

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“…The study by Seckman et al (2021),[ 26 ] demonstrated that mind mapping caused meaningful learning among nursing students and other clinical disciplines. According to his statements, nurse educators and healthcare professionals should consider the use of mind-mapping techniques.…”

Section: Discussionmentioning

confidence: 99%

Mind mapping in recalling and retrieving core contents in anesthesia technology students

Sajadi,

Majd,

Maroufi

et al. 2023

Journal of Education and Health Promotion

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BACKGROUND: Human memory represents the ability to recall and retrieve information. Learning methods have a great impact on remembering and retrieving material. This study was conducted to investigate the effect of the mind map learning method on the amount of recall and retrieval of the core contents of anesthesia technology students. MATERIALS AND METHODS: In this quasi-experimental study, 55 undergraduate students of anesthesia technology were included in the study by census method. In both groups, teaching was done in the same way (lecture method) by a single professor. The intervention group was randomly divided into six groups. After training to work with a mind map in this group, the teaching of lessons started with the lecture method, and then the mind map was drawn by the group members. In the control group, the students followed the lecture method and note-taking. Finally, three tests were taken. Test 1 (before the start of the training), test 2 (immediately after the training (scheduled test)), and test 3 (after 2 weeks (surprise test)). RESULTS: The data obtained from the test scores were analyzed by paired t-test, independent t-test, and analysis of covariance. The analysis showed that the mind map method significantly improved the short-term (P < 0.001) and long-term memory of anesthesia technology students (P < 0.001) compared to the traditional method. Examining the effect of gender on long-term memory showed that in the intervention group, female samples had an average score of 1 more than male samples (P = 0.044). DISCUSSION: It seems that mind mapping improves short-term and long-term memory in anesthesia technology students who play a critical role in saving the lives of patients and this issue improves the quality of services in the field of health.

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Understanding Digital Health Technologies Using Mind Maps

Cited by 10 publications

References 21 publications

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review

Application Value of Mind Mapping and Self-Drawing in the Residency Standardized Training Examination During the COVID-19 pandemic

Mind mapping in recalling and retrieving core contents in anesthesia technology students

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