Healthcare Experts Research Articles

BT37 Can patients with psoriasis and eczema support their self-management by being involved in care decision making?

Abstract Eczema and psoriasis are often associated with psychological and metabolic comorbidities. They usually require long-term medical care. Currently, no intervention is available to regularly assess such patients’ needs and comorbidities and support their involvement in decision making and self-management. The objective of this study was to explore the acceptability and potential of a self-developed questionnaire (study tool) in addressing the needs, comorbidities and feedback of patients with psoriasis and eczema, to support their involvement in decision making and self-management of their chronic conditions. A mixed-methods study was conducted that included a postal survey on adult male and female patients with psoriasis and eczema. The study tool contained the Dermatology Life Quality Index and seven supplementary open-ended questions to capture patients’ views, feedback, comorbidities, coping status and needs. The survey was followed by semistructured face-to-face interviews with a sample of the patients who had participated in the survey. The final study involved sharing the research findings along with a prototype of the proposed online version of the study tool with a group of healthcare professionals. Of the 114 patients who participated in the postal survey, 108 (94.7%) expressed physical, metabolic and psychological comorbidities. Stress was identified as the dominant disease-triggering factor in 72 (63.2%) participants. Thirty-three (28.9%) participants reported that they could not cope with their chronic illness. Eighteen (15.8%) had anxiety, and 12 (10.5%) had depression and suicidal thoughts. Twenty-nine (25.4%) participants addressed their needs for support at home, and 16 (14.0%) of them asked for support at work. In the interviews, all the participants (22, 100%) welcomed the use of the study tool on a regular basis to support their needs and feedback. Nineteen (86%) of them preferred using an online version of the tool (portal system) as a convenient way of remote and interactive communication with the healthcare provider, particularly during the worsening of their skin condition. In the final study, the healthcare experts agreed that the proposed online version of the study tool (portal) would be a convenient platform for such patients to address their unmet needs, comorbidities and feedback. It can be designed to provide access to supportive services including links to patient information on skin diseases, local mental health services, patient forums and other relevant support groups and charities. In conclusion, the study tool has the potential to regularly engage and assess patients’ unmet needs, comorbidities and feedback. All the interviewees welcomed regular use of the study tool. The use of an online version of the tool can have the potential to fill important gaps in patient self-management and in health service improvement.

Enhancing healthcare in the digital era: A secure e-health system for heart disease prediction and cloud security

In the modern world, due to changing lifestyles, more people are infected by deadly diseases, especially heart disorders. An early prognosis is the only possible way of increasing survival rate. One of the key elements of this context is the healthcare digitalization that is carried out through Internet of Things (IoTs) and cloud computing. However, main issue in cloud with IoT is false diagnosis, which leads to cause a major impact on patient’s life. Moreover, data communication through cloud servers can be compromised by attackers due to security issues. Therefore, to overcome these issues, this paper proposes a novel secure e-healthcare system with dual objectives- accurate disease prediction and improved cloud security. A novel diagnosis approach ‘Hybrid Binary Particle Firefly Optimized Extreme Learning Machine classifier (HybBPF-ELM)’ to predict HD is designed, that recognize the subject with HD abnormality from the normal ones. The prediction accuracy and time efficiency of training process are improved by the adoption of a Hybrid Binary Particle Firefly Optimizer (HBPFO) through fine-tuning weight and bias of Extreme Learning Machine (ELM) classifier. Additionally, a new intelligent encryption and decryption framework ‘IEDF’ is introduced for cloud security. It combines four encryption algorithms, including Advanced Encryption Standard (AES), Data Encryption Standard (DES), Rivest- Shamir-Adleman (RSA), and Modified Blow Fish (MBF) to enhance cryptographic strength and key security. Along with this, an Automatic Sequence Encryption (ASC) for data block encryption is employed to ensure strong security and network performance. The integration of HD prediction module and cloud security framework within e-healthcare system assists healthcare experts in securely storing and transferring data for advanced diagnosis. The results show that our proposed system achieves an overall prediction accuracy of 99.36 % and less processing time for encryption and decryption of 127.55 s and 452.01 s at 2.2 GB file size respectively.

Expert Evaluation of the Organizational Technology for Prolonging Doctors’ Professional Activity

Background. Healthcare professionals fall into the professions that significantly strengthen national economy. In order to avoid national economic losses, we should protect older healthcare professionals as a source of national workforce by developing and implementing a health-saving technology that prolongs their professional effective activity. Based on the previously conducted sociological survey of doctors providing medical care in the polyclinics of Moscow and Moscow Oblast, an assessment of the doctors’ professional competencies was carried out [1] and an organizational technology was formed [2] and then submitted to an expert evaluation. Objective. To expertly evaluate the importance of the activities that are included in the organizational technology prolonging the professional effective activity of older doctors. Materials and methods. The methods of sociological, statistical and expert evaluation were used for studying the experts’ opinions on the importance of each activity of organizational technology for prolonging the professional effective activity of healthcare professionals. Experts (n = 50) were asked to rank the activities according to the importance for achieving the result – support for the professional effective activity of doctors - in the case of the implementation of this organizational technology. The experts were specialists in the field of healthcare and public health: chief physicians, heads of departments of polyclinics in Moscow and Moscow Oblast, accredited in the specialty of the Higher Attestation Commission 03.02.03 "Public health, organization and sociology of healthcare, medical and social expertise" with leadership experience in healthcare from 1 to 29 years. The objectivity of experts’ judgment is based on their knowledge and expertise in healthcare and public health. Findings. The experts progressively evaluated the organizational technology, firstly by each stage and then as a whole. Thus, it was made a conclusion on the effectiveness of organizational technology preserving medical competencies and prolonging the professional effective activity of older doctors.

A user perspective on youth mental health services: Increasing help‐seeking behaviour requires addressing service preferences and attitudinal barriers

AbstractAimAlthough the incidence of mental health problems is highest in young people, the majority do not seek help. Reducing the discrepancy between need for care and access to services requires an understanding of the user perspective, which is largely lacking. This study aimed to examine preferences for mental health service attributes and their relative importance among young people, as well as the potential impact on actual help‐seeking intentions.MethodsYouth aged 16–24 years (N = 258) participated in a discrete choice experiment. In addition to choosing which service would suit their needs most out of two service options in nine choice sets, participants were asked whether they would consult the chosen service in the case of mental health problems. Demographic information was also collected, as well as their current mental health status, experience with and perceived barriers to care. Panel mixed logit models were estimated.ResultsYoung people's preferences were mostly driven by the attribute ‘format’, with a preference for individual rather than group therapy. Other attributes, in order of importance, were ‘wait times’ (short), ‘cost’ (low), ‘healthcare professionals' expertise’ (particular experience with working with youth aged 12 to 25 years), and ‘location’ (house in a city). However, a majority of young people would not consult the service they had indicated, mainly due to attitudinal barriers such as wanting to deal with problems on their own (self‐reliance).ConclusionsAddressing psychological barriers to access care should be a priority in mental health policies. Furthermore, entry point services, in particular, should be able to provide the option of individual treatment.

Adapting Dementia Care Management to a Regional German Context: Assessment of Changes in Acceptability, Appropriateness, and Feasibility.

Dementia care management, an evidence-based care concept in Germany, optimizes care for people with dementia and their caregivers. Implemented by qualified professionals, it comprises intervention modules addressing treatment and care, medication management, and caregiver support. Positively evaluated in one federal state, it's recommended for nationwide integration into routine care. Since the infrastructure of the German healthcare system differs regionally, the concept underwent adaption for regional implementation in a participatory, iterative process. Five local healthcare experts as co-researchers tested and adjusted selected components of the concept in a pilot study. This trend analysis aims to assess the adapted concept for acceptance, appropriateness, and feasibility. A total of 89 intervention modules were tested over 18weeks, and the co-researcher's assessment was gathered through an accompanying online survey. The participatory process itself was rated positively overall, but technical problems had a negative impact on the implementation and evaluation of the care concept.

Automated classification of brain tumor-based magnetic resonance imaging using deep learning approach

The treatment of brain tumors poses significant challenges and contributes to a significant number of deaths on a global scale. The process of identifying brain tumors in medical practice involves the visual analysis of photographs by healthcare experts, who manually delineate the tumor locations. However, this approach is characterized by its time-consuming nature and susceptibility to errors. In recent years, scholars have put forth automated approaches to early detection of brain tumors. However, these techniques face challenges attributed to their limited precision and significant false-positive rates. There is a need for an effective methodology to identify and classify tumors, which involves extracting reliable features and achieving precise disease classification. This work presents a novel model architecture that is derived from the EfficientNetB3. The suggested framework has been trained and assessed on a dataset consisting of 7,023 magnetic resonance images. The findings of this study indicate that the fused feature vector exhibits superior performance compared to the individual vectors. Furthermore, the technique that was provided showed superior performance compared to the currently available systems and attained a 100% accuracy rate. As a result, it is viable to employ this technique within a clinical environment for the purpose of categorizing brain tumors based on magnetic resonance images scans.

Best practice for the selection, design and implementation of UK Kidney Association guidelines: a modified Delphi consensus approach

BackgroundDespite research into how to effectively implement evidence-based recommendations into clinical practice, a lack of standardisation in the commissioning and development of clinical practice guidelines can lead to inconsistencies and...

The Trading Zones of Patient Participation: Public Issue Formation in Nondemocratic Situations

This article investigates public issue formation catalyzed by Russian patient organizations (POs) that aim to change healthcare rules and practices following patients’ needs and expectations. Drawing on the socio-ontological approach of science and technology studies, which posits that issues do not exist independently of efforts to address them, we identify three main stages of public issue formation in the studied situation: (1) from individual troubles to systemic problems, (2) from systemic problems to shared concerns, and (3) from shared concerns to public issues. Transforming individual troubles into public issues is neither easy nor straightforward. Yet, as the key actors in the process, POs use events like conferences and roundtables, and consultative spaces like public councils to engage with healthcare experts and state policymakers. We propose to view these events and spaces as trading zones. Facilitating public issue formation through trading zones where collaboration with other healthcare governance actors occurs without consensus over meanings and priorities, POs address suffering among patients in nondemocratic situations where expert knowledge dominates and public participation is generally unwelcome. The resulting issues are public in scope and capability of mobilizing action, yet articulated in a de-publicizing manner that conceals conflicting stakes and commitments.

Optimal Diagnostic and Treatment Practices for Facial Dysostosis Syndromes: A Clinical Consensus Statement Among European Experts.

Facial dysostosis syndromes (FDS) are rare congenital conditions impacting facial development, often leading to diverse craniofacial abnormalities. This study addresses the scarcity of evidence on these syndromes about optimal diagnostic and treatment practices. To overcome this scarcity, European experts from ERN CRANIO collaborated to develop a clinical consensus statement through the Delphi consensus method. A systematic search of Embase, MEDLINE/PubMed, Cochrane, and Web of Science databases was conducted until February 2023. The quality of evidence was evaluated using various tools depending on the study design. Statements were subsequently formed based on literature and expert opinion, followed by a Delphi process with expert health care providers and patient representatives. In total, 92 experts from various specialties and three patient representatives were involved in the Delphi process. Over 3 voting rounds, consensus was achieved on 92 (46.9%), 58 (59.2%), and 19 (70.4%) statements, respectively. These statements cover the topics of general care; craniofacial reconstruction; the eyes and lacrimal system; upper airway management; genetics; hearing; speech; growth, feeding, and swallowing; dental treatment and orthodontics; extracranial anomalies; and psychology and cognition. The current clinical consensus statement provides valuable insights into optimal diagnostic and treatment practices and identifies key research opportunities for FDS. This consensus statement represents a significant advancement in FDS care, underlining the commitment of health care professionals to improve the understanding and management of these rare syndromes in Europe.

A review of the challenges and opportunities in implementing health informatics in rural healthcare settings

This paper reviews the challenges and opportunities associated with implementing health informatics in rural healthcare settings. It examines the unique barriers rural communities face, such as infrastructure limitations, workforce shortages, and financial constraints, which can impede the adoption and utilization of health informatics solutions. However, it also explores the promising opportunities afforded by health informatics, including telemedicine, electronic health records (EHRs), and mobile health technologies, to overcome these challenges and improve healthcare access, quality, and efficiency in rural areas. By addressing these challenges and leveraging the opportunities presented by health informatics, stakeholders can work towards achieving equitable healthcare outcomes for rural populations. By addressing these challenges and leveraging the opportunities presented by health informatics, stakeholders can work towards achieving equitable healthcare outcomes for rural populations. Health informatics holds immense potential to revolutionize healthcare delivery, particularly in rural settings where access to quality care is often limited Health informatics holds immense potential to revolutionize healthcare delivery, particularly in rural settings where access to quality care is often limited. Health informatics holds immense potential to revolutionize healthcare delivery, particularly in rural settings where access to quality care is often limited. Telemedicine, for instance, enables remote consultations and diagnostic services, breaking down geographic barriers and providing rural patients with access to specialists and healthcare expertise they may not have locally. Electronic Health Records (EHRs) streamline administrative processes, improve care coordination, and enhance patient safety by ensuring that vital health information is readily accessible to healthcare providers regardless of location. Mobile health technologies, including smartp hone apps and wearable devices, empower rural residents to monitor their health, track chronic conditions, and engage in self-management activities from the comfort of their homes.By embracing these innovations and overcoming infrastructure challenges, stakeholders in rural healthcare can significantly improve healthcare access, quality, and efficiency. Additionally, leveraging health informatics can help address workforce shortages by enabling healthcare providers to deliver more effective and integrated care, even in remote areas. Ultimately, by harnessing the opportunities presented by health informatics while addressing the unique challenges of rural healthcare, stakeholders can work towards achieving equitable healthcare outcomes for rural populations. Keywords: Health Informatics, Rural Healthcare, Electronic Health Records (EHRS), Mobile Health, Challenges.

Evaluation of Education Methods for the Public During Epidemics of Communicable Diseases from the Perspective of the Public: A Cross-Sectional Study

Background. In recent decades, epidemics of various infectious diseases have occurred. Despite the health authorities' educational efforts to provide people with adequate information, there is not enough evidence regarding the evaluation and effectiveness of educational methods. Therefore, the present study aimed to evaluate the effectiveness of educational methods provided for the public during epidemics of infectious diseases from people's perspective. Methods. This cross-sectional study was conducted in Iran in 2023. The participants included individuals who were older than 15 years and were living in Iran during the recent epidemics. We used a tailored questionnaire consisting of 14 questions to gather information. The validity of the questionnaire was ensured by calculating the content validity index and ratio. Furthermore, its reliability was confirmed through a pilot study. The participants were selected using convenience sampling. In order to collect data, the questionnaire was distributed to the target group both electronically and in person. The collected data were analyzed using SPSS software (version 24) with normality tests conducted, and any P-value below 0.05 was considered significant. Results. A total of 278 individuals participated in the study, with the majority being women (62.3%). The average age of the participants was 33.9 years old. Most of the participants had a bachelor's degree (43.2%). According to the results of the study, social networks were identified as the most commonly used source for receiving educational materials during infectious disease epidemics (76.8%), and they were also considered to be the most effective source (87.6%). Additionally, based on the participants' opinions, social networks outperformed other information sources (78%). Face-to-face education provided by healthcare workers was identified as the most trusted educational source (81.6%), and the participants recommended this method to others more than any other method. (82.4%). Interviews with healthcare experts and in-person education provided by healthcare workers were perceived as the most effective educational methods by the people surveyed (60.4%). Furthermore, the results indicated that as individuals age, their reliance on sources of information like the Internet, social networks, and newspapers tends to decrease. Conclusion. The results of the current study can provide valuable information for policymakers on educating the public during epidemics of communicable diseases, as well as help them make quick, effective, and evidence-based decisions.

A core competency evaluation index system for the graded use of clinical nurse specialists: A Delphi study.

To describe a grading system that can be used to evaluate core competency of clinical nurse specialists (CNSs) at different levels. Evaluate core competence of CNSs at different levels reflects the quality of nursing and the development of the nursing profession. This research employed the Delphi method. The STROBE checklist for observational cross-sectional studies was followed to report this research study. This study consisted of two main phases: a literature review and semistructured interviews. Individual semistructured interviews were conducted with 11 healthcare experts and two patients. Two rounds of questionnaire surveys were administered to 21 nursing experts using the Delphi method. The CNSs were classified as primary, intermediate or advanced based on their years of work, professional titles and educational qualifications. The graded competency evaluation system consisted of five first-level indicators (clinical practice, consulting guidance and teaching, scientific research innovation, management and discipline development, and ethical decision-making), 15 second level indicators, and 40 third-level indicators. The authority coefficients (Cr) of the experts were .865 and .901. The Kendall's concordance coefficients of the three-level indicators were .417, .289 and .316 for primary CNSs; .384, .294 and .337 for intermediate CNSs; and .489, .289 and .239 for advanced CNSs. The graded use evaluation system in clinical practice initially involves a comprehensive evaluation of the core abilities of CNSs. This is a tool for cultivating and grading the abilities of specialised nurses that can promote a practical upwards spiral. The evaluation system can promote the scientific management and continuous improvement of CNSs in clinical nursing and can serve as a practical and objective reference for the effective management and development of CNSs. Patients participated in the data collection process, during which they shared their health-seeking experience with our research team.

Key stakeholders' perspectives on the development of an early dietary phosphate self-management strategy for children and young people with chronic kidney disease stages 1-3: A modified Delphi consensus process.

An early dietary phosphate intervention (EPI) can provide vital medical benefits supporting self-management of chronic kidney disease (CKD) in childhood. To utilise expert consensus to provide early modelling for an EPI to guide clinical practice across a paediatric renal network. Forty-eight statements across six domains were constructed following a systematic review and semi-structured interviews with children and young people (CYP), parents and healthcare professionals (HCP). A three-round online Delphi survey with parents and paediatric renal multi-disciplinary healthcare experts was undertaken. Twenty-one experts agreed on 56 statements over three Delphi rounds. Statements were accepted in all six domains: definition of an EPI (2), rationale (12), intended users (3), delivery (14) (when [1], where [3], who [2], how [8]), other considerations (16) and potential concerns (9). Consensus was reached on a definition and a set of guiding principles, providing some early modelling for implementation and future research on the development of an EPI strategy for CYP with CKD.

Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices.

The emergence of smartphones has sparked a transformation across multiple fields, with health care being one of the most notable due to the advent of mobile health (mHealth) apps. As mHealth apps have gained popularity, there is a need to understand their energy consumption patterns as an integral part of the evolving landscape of health care technologies. This study aims to identify the key contributors to elevated energy consumption in mHealth apps and suggest methods for their optimization, addressing a significant void in our comprehension of the energy dynamics at play within mHealth apps. Through quantitative comparative analysis of 10 prominent mHealth apps available on Android platforms within the United States, this study examined factors contributing to high energy consumption. The analysis included descriptive statistics, comparative analysis using ANOVA, and regression analysis to examine how certain factors impact energy use and consumption. Observed energy use variances in mHealth apps stemmed from user interactions, features, and underlying technology. Descriptive analysis revealed variability in app energy consumption (150-310 milliwatt-hours), highlighting the influence of user interaction and app complexity. ANOVA verified these findings, indicating the critical role of engagement and functionality. Regression modeling (energy consumption = β₀ + β₁ × notification frequency + β₂ × GPS use + β₃ × app complexity + ε), with statistically significant P values (notification frequency with a P value of .01, GPS use with a P value of .05, and app complexity with a P value of .03), further quantified these bases' effects on energy use. The observed differences in the energy consumption of dietary apps reaffirm the need for a multidisciplinary approach to bring together app developers, end users, and health care experts to foster improved energy conservation practice while achieving a balance between sustainable practice and user experience. More research is needed to better understand how to scale-up consumer engagement to achieve sustainable development goal 12 on responsible consumption and production.

Application of the Delphi method to the development of common data elements for social drivers of health: A systematic scoping review.

Collaborative data science requires standardized, harmonized, interoperable, and ethically sourced data. Developing an agreed-upon set of elements requires capturing different perspectives on the importance and feasibility of the data elements through a consensus development approach. This study reports on the systematic scoping review of literature that examined the inclusion of diverse stakeholder groups and sources of social drivers of health variables in consensus-based common data element (CDE) sets. This systematic scoping review included sources from PubMed, Embase, CINAHL, WoS MEDLINE, and PsycINFO databases. Extracted data included the stakeholder groups engaged in the Delphi process, sources of CDE sets, and inclusion of social drivers data across 11 individual and 6 social domains. Of the 384 studies matching the search string, 22 were included in the final review. All studies involved experts with healthcare expertise directly relevant to the developed CDE set, and only six (27%) studies engaged health consumers. Literature reviews and expert input were the most frequent sources of CDE sets. Seven studies (32%) did not report the inclusion of any demographic variables in the CDE sets, and each demographic SDoH domain was included in at least one study with age and sex assigned at birth included in all studies, and social driver domains included only in four studies (18%). The Delphi technique engages diverse expert groups around the development of SDoH data elements. Future studies can benefit by involving health consumers as experts.

A Series of Suicides and Homicides by Cyanide in Türkiye: Exploring the Role of Media Reports and the Copycat Effect

Objectives: This paper focuses on the intentional deaths by cyanide that occurred in Turkey and aims to discuss the effect of internet and the media on these cases. Methods: Five highly circulated daily newspapers were selected and the term “siyanür”, which means “cyanide” in Turkish, were searched within their online search function between 2017-2021. A Google Trends analysis was performed with “siyanür+siyanur” as the keyword, “Turkey” as the region, and “1/1/2017-12/31/2021” as the custom time range. Results: Twenty different incidents and news reports of cyanide related suicides and/or homicides with 29 total deaths were found. In Google Trends analysis, seven out of total 8 periods of increased search interest coincided with the news reports related to cyanide deaths. Conclusions: The authors observed a surge in cyanide-related incidents following a highly publicized case in May 2019, with a peak in November 2019. The study highlights the influence of media coverage on subsequent incidents, with newspapers often using sensational headlines and providing detailed information on suicide methods. Reporting a news article on suicide requires great care and caution. Thus, the guidelines on reporting suicide related news should be implemented nationwide with a collaboration between media professionals and health-care experts.

2023 Cardiac Society of Australia and New Zealand Expert Position Statement on Catheter and Surgical Ablation for Atrial Fibrillation

Catheter ablation for atrial fibrillation (AF) has increased exponentially in many developed countries, including Australia and New Zealand. This Expert Position Statement on Catheter and Surgical Ablation for Atrial Fibrillation from the Cardiac Society of Australia and New Zealand (CSANZ) recognises healthcare factors, expertise and expenditure relevant to the Australian and New Zealand healthcare environments including considerations of potential implications for First Nations Peoples. The statement is cognisant of international advice but tailored to local conditions and populations, and is intended to be used by electrophysiologists, cardiologists and general physicians across all disciplines caring for patients with AF. They are also intended to provide guidance to healthcare facilities seeking to establish or maintain catheter ablation for AF.

تحليل مقارن لخوارزميات التعلم الآلي لتصنيف مرض السكري باستخدام تحليل مصفوفة الارتباك

يستخدم العاملين في الرعاية الصحية التعلم الآلي أكثر فأكثر في السنوات الأخيرة لتعزيز نتائج المرضى وخفض التكاليف عليهم. بالإضافة إلى ذلك، تم تنفيذ التعلم الآلي في مجالات مختلفة، بما في ذلك تشخيص الأمراض، وتصنيف مخاطر المرضى، واقتراحات العلاج المخصصة، وتطوير الأدوية. يمكن لخوارزميات التعلم الآلي أن تفحص كميات هائلة من البيانات من السجلات الصحية الإلكترونية، والصور الطبية، ومصادر أخرى لتحديد الأنماط والتنبؤات، والتي يمكن أن تدعم المتخصصين في الرعاية الصحية والخبراء في اتخاذ قرارات مستنيرة، وتعزيز رعاية المرضى، وتحديد حالة المريض الصحية. في هذا الصدد، اختار المؤلف مقارنة أداء ثلاث خوارزميات (الانحدار اللوجستي ، Adaboost ، بايزالساذجة) من خلال معدل التصنيف الصحيح للتنبؤ بمرض السكري من أجل ضمان فعالية التشخيص الدقيق. تم الحصول على مجموعة البيانات المطبقة في هذا العمل من مستودع مؤسسي بجامعة فاندربيلت وهي بيانات متاحة للحميع. استنجتت الدراسة أن ثلاث خوارزميات فعالة للغاية في التنبؤ. بشكل أساسي، كان معدل تصنيف الانحدار اللوجستي و Adaboost أعلى من 92٪ ، وحققت خوارزمية بايز الساذجة معدل تصنيف أعلى من 90٪.

Establishing New Links Between HRM Practices and Knowledge Workers’ Retention in Healthcare Sector: Knowledge Sharing Generating Moderating Effects

Knowledge sharing is the fundamental measure through which knowledge workers can significantly contribute to innovation and eventually the competitive advantage of the organization. Drawing upon the knowledge-based view of firms, the present study aims to examine the moderating role of knowledge sharing on the relationship between HRM practices and knowledge workers’ retention in the healthcare sector. After the COVID impact, healthcare knowledge workers have become a point for wide scholarly discussion and appropriate HRM practices should be implemented to amplify their probability of a longer stay in the organization. Hence, this research has incorporated PLS-SEM for empirical investigation which is based on prior discussions with some healthcare experts. The results propagate that knowledge sharing moderates HRM practices-retention linkage except training and development which is found to be statistically insignificant. The empirical evidence generated could be crucial for researchers and practitioners within the healthcare sector, thereby, extending assistance in establishing world-wide recognition.

Implementing innovations in US transplantation system

ABSTRACTCan private jets help save lives? Yes. Can short videos nudge next‐of‐kin to donate more? Also, yes. How has an outsider to the transplantation system, with no previous knowledge or expertise in (any aspect of) healthcare, managed to make a difference? Is imagination really more important than knowledge? In this invited article, I will briefly describe two innovations—OrganJet and Nudge Videos—that I have implemented in the US Transplantation System that have extended the lives of many.