Development and evaluation of a sustainable video health education program for newly diagnosed breast cancer patients in Malaysia

The Development and Evaluation of an Educational Video for Breast Cancer Patients Requiring Adjuvant Radiation Therapy

Patient education and informed consent are required prior to adjuvant radiation therapy (RT) for early breast cancer (EBC), and include the role, rationale, potential toxicities and practicalities of the treatment process. Current education of patients about RT is verbal, in the form of a consultation by a radiation oncologist, often supplemented with print or online materials. This approach is limited by its doctor-dependency and non-standardised nature. Video education is being recognised increasingly as an opportunity to remediate this and appeal to patients' preference for visual learning. The purpose of this study was to design and produce a video as an educational adjunct for EBC patients' viewing prior to adjuvant RT, and to evaluate its acceptability through content analysis of three online focus group discussions, among ten participants with EBC requiring RT. After qualitative content analysis of the focus group transcripts, data were summarised into three main categories: (1) understanding of RT, (2) ease of engagement with the video and (3) anxiety and preparedness for RT. The 18-min video was positively received by all participants, and discussion feedback was used to inform improvements to the video. This focus group study demonstrated that the video was well understood, informative and acceptable to EBC patients in preparing them for RT. The effectiveness of the video in improving knowledge and alleviating distress in preparation for therapy will be further evaluated in an ethics-approved biphasic quasi-experimental study.

Exploring the health information-seeking practices of breast cancer patients in a middle-income country with a diverse ethnic population: a cross-sectional investigation

Seeking health information is an important step for cancer patients to understand their condition and facilitate treatment. It also helps them deal with the unknown and aid in recovery. Therefore, it is vital to understand the factors that drive health information-seeking behavior. This study aims to achieve that objective in a localized context by surveying 421 breast cancer patients in an urban teaching hospital. The patients were presented with a 5-point questionnaire that explored their demography, health status, information-seeking behavior, and literacy level. The prevalence of health information-seeking initiatives reported was 60%. Patients with higher education (OR 3.31; 95% CI (1.39-7.87), p = 0.01), having their own business or were self-employed (OR 4.68; 95% CI (1.03-21.24), p = 0.046), and in a Medium 40 (M40) income level (OR 2.31; 95% CI (1.09-4.88), p = 0.03) and Top 20 (T20) level were more likely to seek health information. The mean e-Health Literacy Score (eHEALS) was 28.01 ± 5.0, with healthcare professionals having the highest level of trust (mean 4.22 ± 0.79) and most useful resource score (mean 4.21 ± 0.78). Even though Google was the most popular online search tool used by respondents, most of them seldom (23.77%) or had never (34.34%) discussed the online information they found with healthcare professionals. In conclusion, it is still best for patients to appraise the sought-after information with experts to avoid misinformation and treatment delay.

Theory and Practice of Integrating Machine Learning and Conventional Statistics in Medical Data Analysis

The practice of medical decision making is changing rapidly with the development of innovative computing technologies. The growing interest of data analysis with improvements in big data computer processing methods raises the question of whether machine learning can be integrated with conventional statistics in health research. To help address this knowledge gap, this paper presents a review on the conceptual integration between conventional statistics and machine learning, focusing on the health research. The similarities and differences between the two are compared using mathematical concepts and algorithms. The comparison between conventional statistics and machine learning methods indicates that conventional statistics are the fundamental basis of machine learning, where the black box algorithms are derived from basic mathematics, but are advanced in terms of automated analysis, handling big data and providing interactive visualizations. While the nature of both these methods are different, they are conceptually similar. Based on our review, we conclude that conventional statistics and machine learning are best to be integrated to develop automated data analysis tools. We also strongly believe that machine learning could be explored by health researchers to enhance conventional statistics in decision making for added reliable validation measures.

Digitization in gynecology and obstetrics in times of COVID-19: Results of a national survey

INTRODUCTION

In the COVID-19 pandemic, many consultations had to be cancelled, postponed, or converted to a virtual format. The use of telemedicine in the management of Women's Health Care could support doctors (tele-gynecology). This study analyses the use and perception of telemedicine applications among gynecologists in Germany.

MATERIALS AND METHODS

This prospective cross-sectional study was based on a survey of gynecologists in Germany during the COVID-19 pandemic. Descriptive statistics were calculated, and regression analyses were performed to show correlations.

RESULTS

The gynecologists expect telemedicine to be used in gynecology and obstetrics. 76.4% (365/478) of the respondents rated their knowledge of telemedicine as insufficient. The majority of respondents (437/478, 91.6%) said they did not currently use telemedicine, although 67.3% (321/478) would like to do so. Obstacles to the introduction of telemedicine include the purchase of technical equipment (325/478, 68.1%), administration (305/478, 64.0%) and poor reimbursement (233/478, 48.9%). Gynecologists surveyed would prefer telemedicine to communicate directly with other doctors (388/478, 81.2%) rather than to communicate with patients (228/478, 47.8%). In the treatment phases, 73.2% (349/478) of the respondents would use telemedicine during follow-up. Half of the respondents would choose tele counseling as a specific approach to improving care (246/478, 51.5%).

CONCLUSION

Telemedicine in gynecology finds little use but high acceptance. The absence of a structured framework is an obstacle to effective implementation. Training courses should be introduced to improve the limited knowledge in the use of telemedicine. More research in tele-gynecology is needed. These include large-scale randomized controlled trials, economic analyses and the exploration of user preferences.

Telemedicine as a Therapeutic Option in Sports Medicine: Results of a Nationwide Cross-Sectional Study among Physicians and Patients in Germany

Background: Worldwide, the number of treatments in the field of sports medicine is increasing. However, the COVID-19 pandemic has changed everyday life. Many consultations had to be cancelled, postponed, or converted to a virtual format. Telemedicine in sports medicine could support physicians. This study analyzes the use and perception of telemedicine applications among physicians and patients in the field of sports medicine in Germany. Methods: This prospective cross-sectional study was based on a survey of sports medicine physicians and patients in Germany during the COVID-19 pandemic. Descriptive statistics were calculated. Results: We analyzed the responses of 729 patients and 702 sports medicine physicians. Most believed that telemedicine is useful. Both physicians and patients rated their knowledge of telemedicine as unsatisfactory. The majority of respondents said they do not currently use telemedicine but would like to do so. Patients and physicians reported that their attitude had changed positively towards telemedicine and that their usage had increased due to COVID-19. The majority in both groups agreed on implementing virtual visits in stable disease conditions. Telemedicine was considered helpful for follow-up monitoring and prevention by both groups. Conclusion: Telemedicine in sports medicine has seen limited use but is highly accepted among physicians and patients alike. The absence of a structured framework is an obstacle to effective implementation. Training courses should be introduced to improve the limited knowledge regarding the use of telemedicine. More research in telemedicine in sports medicine is needed. This includes large-scale randomized controlled trials, economic analyses and explorations of user preferences.