An Evaluation of Impostor Phenomenon in Data Science Students.

Impostor Phenomenon (IP), also called impostor syndrome, involves feelings of perceived fraudulence, self-doubt, and personal incompetence that persist despite one's education, experience, and accomplishments. This study is the first to evaluate the presence of IP among data science students and to evaluate several variables linked to IP simultaneously in a single study evaluating data science. In addition, it is the first study to evaluate the extent to which gender identification is linked to IP. We examined: (1) the degree to which IP exists in our sample; (2) how gender identification is linked to IP; (3) whether there are differences in goal orientation, domain identification, perfectionism, self-efficacy, anxiety, personal relevance, expectancy, and value for different levels of IP; and (4) the extent to which goal orientation, domain identification, perfectionism, self-efficacy, anxiety, personal relevance, expectancy, and value predict IP. We found that most students in the sample showed moderate and frequent levels of IP. Moreover, gender identification was positively related to IP for both males and females. Finally, results indicated significant differences in perfectionism, value, self-efficacy, anxiety, and avoidance goals by IP level and that perfectionism, self-efficacy, and anxiety were particularly noteworthy in predicting IP. Implications of our findings for improving IP among data science students are discussed.

Developing and Evaluating the Effectiveness of a Nursing Leadership Mentoring Pilot Program.

The nurse leader role is a vital role in ensuring quality, safety, and staff retention in the health care setting. A new nurse manager often receives little mentoring support when assuming a new role. Fifteen mentor/mentee pairs were provided with 6 training sessions specifically designed using the Hale Mentoring Up theoretical framework. Surveys and focus groups were conducted at mid- and endpoints. Data were digitally recorded, transcribed verbatim, and loaded into NVivo 12. Two attributes that facilitated a positive mentoring relationship emerged from the qualitative analysis: interpersonal and organizational skills. Interpersonal skills included a mentor-mentee relationship that was built upon trust, flexibility, and learning and development; and organizational skills included building relationships both internally and externally. Furthermore, time was identified as a barrier to mentoring. A mentoring program is a vehicle to help support new nurse leaders through an educational intervention and mentoring support program. The development of a mentoring pilot program helps to strengthen future nursing leadership to support new leaders in their roles.

Nursing Student Perceptions and Attitudes Toward Patients With Cancer After Education and Mentoring: Integrative Review.

BACKGROUND: Knowledge about nursing student attitudes toward patients with cancer after an educational intervention and mentoring support is limited. This review examined the literature on this topic. OBJECTIVE: This integrative review aims to explore the literature on the experiences of students who participate in an oncology elective or educational course on cancer and their attitudes toward cancer. METHODS: A comprehensive search was conducted using PubMed, CINAHL, and MEDLINE databases. Each study was systematically assessed. An evidence table was completed to identify the key aspects of each study that was reviewed. RESULTS: There is insufficient information on the impact of nursing student education on the attitudes and skills of nursing students caring for patients with cancer. An integrative review was completed on the impact of education and mentoring for nursing students on cancer care, which yielded 10 studies that were reviewed. These studies indicate that educational intervention and mentoring improve the confidence and ability of nursing students to care for patients with cancer. CONCLUSIONS: Student nurses need to be armed with knowledge, skills, and positive attitudes while caring for patients with cancer. Nursing students perform best when they have accurate information, positive role models, and mentoring by experienced oncology professionals, to support proficiency in caring for patients with cancer. The lack of knowledge of nursing students in the areas of cancer care, treatment, and patient support requires additional education and research to promote expertise and positive attitudes toward cancer and treating patients with cancer. This will support nursing students' ability to care for patients with cancer as well as develop future educational interventions to shape nursing student attitude and knowledge. This integrative review also identifies the positive impact on the attitudes of other health care professionals who have received training or education on cancer.

Health Internet Technology for Chronic Conditions: Review of Diabetes Management Apps.

BACKGROUND: Mobile health (mHealth) smartphone apps have shown promise in the self-management of chronic disease. In today's oversaturated health app market, selection criteria that consumers are employing to choose mHealth apps for disease self-management are of paramount importance. App quality is critical in monitoring disease controls but is often linked to consumer popularity rather than clinical recommendations of effectiveness in disease management. Management of key disease variances can be performed through these apps to increase patient engagement in disease self-management. This paper provides a comprehensive review of features found in mHealth apps frequently used in the self- management of diabetes. OBJECTIVE: The purpose of this study was to review features of frequently used and high consumer-rated mHealth apps used in the self-management of diabetes. This study aimed to highlight key features of consumer-favored mHealth apps used in the self-management of diabetes. METHODS: A 2-fold approach was adopted involving the Apple iOS store and the Google search engine. The primary search was conducted on the Apple iOS store using the term "diabetes apps" (device used: Apple iPad). The top 5 most frequently used mHealth apps were identified and rated by the number of consumer reviews, app ratings, and the presence of key diabetes management features, such as dietary blood glucose, A1C, insulin, physical activity, and prescription medication. A subsequent Google search was conducted using the search term "best Apple diabetes apps." The top 3 search results-"Healthline," "Everyday Health," and "Diabetes Apps-American Diabetes Association"-were explored. RESULTS: In total, 12 mHealth apps were reviewed due to their appearing across 4 evaluated sources. Only 1 health app-Glucose Buddy Diabetes Tracker-appeared as the most frequently used within the Apple iOS store and across the other 3 sources. The OneTouch Reveal app ranked first on the list in the iOS store with 39,000 consumer reviews and a rating of 4.7 out of 5.0 stars but only appeared in 1 of the other 3 sources. Blood glucose tracking was present across all apps, but other disease management features varied in type with at least 3 of the 5 key features being present across the 12 reviewed apps. Subscription cost and integration needs were present in the apps which could impact consumers' decision to select apps. Although mobile app preference was assessed and defined by the number of consumer reviews and star ratings, there were no scientific standards used in the selection and ranking of the health apps within this study. CONCLUSIONS: mHealth apps have shown promise in chronic disease management, but a surge in development of these nonregulated health solutions points to a need for regulation, standardization, and quality control. A governing body of health IT professionals, clinicians, policymakers, payors, and patients could be beneficial in defining health app standards for effective chronic disease management. Variabilities in features, cost, and other aspects of management could be reduced by regulatory uniformity, which would increase patient engagement and improve disease outcomes.

Blockchain Predictions for Health Care in 2021.

With coronavirus (COVID) spreading across the world and the health care system being pushed toward more digitization and technology, last year was a unique year of human tragedy. There is a silver lining to this tragedy, that is, providers, payers, and pharma companies have shifted quickly toward better technologies, including artificial intelligence (AI) blockchain, and so on.

Leveraging the Hyperledger Fabric for Enhancing the Efficacy of Clinical Decision Support Systems.

Adopting and implementing the Clinical Decision Support System (CDSS) technology is a critical element in an effort to improve national quality initiatives and evidence-based practice at the point of care. CDSS is envisioned to be a potential solution to many current challenges in the healthcare sphere, which includes information overload, practice improvement, eliminating treatment errors, and reducing medical consultation costs. However, the CDSS did not manage to achieve these goals to the desired levels and provide context-appropriate alerts, although integrated with the electronic health records (EHRs) (1). Clinical decision support alerts can save lives, but frequent ones can cause increased cognitive burden to clinicians, worsen alert fatigue, and increase the duplication of tests. This ultimately increases health care costs without refining patient outcomes. Studies show that 49-96% of clinical alerts are ignored, raising questions about the effectiveness of CDSS (1). Blockchain, a decentralized, distributed digital ledger that contains a plethora of continuously updated, time-stamped, and highly encrypted virtual record, can be a key to addressing these challenges (2). The blockchain technology if integrated with the CDSS can serve as a potential solution to eliminating current drawbacks with CDSS (3). This article addresses the most significant and chronic problems facing the successful implementation of CDSS and how leveraging the Hyperledger Fabric can alleviate the clinical alert fatigue and reduce physician's burnout using patient-specific information. The proposed architecture framework for this study is designed to equip the CDSS with overall patient information at the point of care. This then empowers the physicians with the blockchain-integrated CDSS, which holds the potential to reduce clinician's cognitive burden, medical errors, and costs and ultimately enhance patient outcomes. The research study broadly discusses how the blockchain technology can be a potential solution, reasons for selecting the Hyperledger Fabric, and elaborates on how the Hyperledger Fabric can be leveraged to enhance the efficacy of CDSS.

OpenPharma Blockchain on FHIR: An Interoperable Solution for Read-Only Health Records Exchange through Blockchain and Biometrics.

The healthcare system in the United States is unique. From payor to provider, patients have the freedom of choice. This creates a complicated and profitable paradigm of care. Legislation defines government expectations of data exchange; however, the methods are left to the discretion of the stakeholders. Today, devices and programs are not built to unified standards, thus they do not share data easily. This communication between software is known as interoperability. We address the health data interoperability by leveraging Fast Health Interoperable Resource (FHIR) standard, a viewer of FHIR called OpenPharma, and Blockchain technology. Our proof of concept, called "OpenPharma Blockchain on FHIR" (OBF), is interoperable by design and grants clinicians access to patient records using a combination of data standards, distributed applications, patient-driven identity management, and the Ethereum blockchain. OBF is a trustless, secure, decentralized, and vendor-independent method for information exchange. It is easy to implement and places the control of records with the patients.

User profiles and personas in the design and development of consumer health technologies.

BACKGROUND: "The graying of the globe" has resulted in exponential rise in health care expenses, over-worked health care professionals and a growing patient base suffering from multiple chronic diseases, one of which is diabetes. Consumer health technologies (CHT) are considered important catalysts for empowering health care consumers to take a proactive role in managing their health and related costs. Adoption rate and usability of such devices among the aging is far from being satisfactory. Past studies noted the motivation for adoption by the aging is dependent on the suitability/relevance, perceived usability and anticipated benefits associated with usage of technological innovation. Traditional information technology (IT) development adopts a systematic approach without necessarily using a specific user model that personalizes the system to the aging user groups. The aging patient population has unique needs arising from progressive deterioration in both physiological and psychological abilities. These needs are often ignored in the design, development, trial and adoption of consumer health products resulting in low adoption and usage. OBJECTIVES: The main objective of this research is to investigate the user-centered design (UCD), specifically user profiles and personas, as methodological tools to inform the design and development of CHT devices for an aging population. The adoption of user profile and persona has not received much attention in health care informatics research and, in particular, research involving CHT. Our work begins to fill this void in three ways. We (1) illuminate the process of developing CHT user profiles and personas for a Chinese elder population with a demanding health care needs, i.e., self-management of chronic diabetes, with the hope that the resulting profiles and personas may be used as foundational material for informing the design, development and evaluation of CHT in other similar contexts; (2) call attention to how to further enhance and complement traditional user profile and persona techniques for CHT design by integrating cognitive structures and present behavior that drive health care thinking, future behavior and demand; (3) show how the profiles and personas can be used to inform requirements, design and implementation decisions for a technology aimed at facilitating CHT adoption and diffusion for the elderly. METHODOLOGY: To exemplify process and application, we use an action-research methodology, where user profiles and personas of an aging patient population were developed. The resultant profiles and personas were leveraged to improve the design, development and implementation plans of a smart phone application to assist chronically ill aging Chinese diabetic population capable of disease self-management. RESULTS: The results from the study show that user profile and persona can be a valuable methodological approach in capturing the conceptual model of the aging and informing the design and development decisions of CHT. The demonstration of techniques used in this study can serve as a guideline to CHT developers in bringing conceptual user modeling into the design of software interfaces targeted for users with specific health care needs. Specifically, the study provides guidance on the creation and use of profiles and personas to tap into the conceptual models of the targeted elderly population reflecting their preferences, capabilities and attitudes towards using technology in self-management care in general and the smart phone diabetes management application in particular. Insight into the mental model of the aging group has been shown to inform later stages of UCD development (e.g., the creation of prototypes and usability testing) as well as implementation and adoption strategies. The World Health Organization (WHO) predicts that by 2025, 80% of all new cases of diabetes are expected to appear in the developing countries. In fact, the number of diabetic patients in China is estimated to rise to 42.3 million in 2030 from 20.8 million in 2000. Thus, we investigate the Chinese aging population in order to demonstrate the process of developing and using user profile and persona. We hope that the resultant conceptual model of the Chinese aging diabetic population can be used in future research to guide CHT designers interested in designing health care devices for this vulnerable user group.

A wireless ECG monitoring system for pervasive healthcare.

This paper presents an architectural framework of a system utilising mobile technologies to enable continuous, wireless, electrocardiogram (ECG) monitoring of cardiac patients. The proposed system has the potential to improve patients' quality of life by allowing them to move around freely while undergoing continuous heart monitoring and to reduce healthcare costs associated with prolonged hospitalisation, treatment and monitoring.