Health Care Sciences Research Articles

The Influence of UV Femtosecond Laser Pulses on Bacterial DNA Structure, as Proved by Fourier Transform Infrared (FT‐IR) Spectroscopy

AbstractIn this work, FT‐IR absorbance spectra of genomic DNAs isolated from four strains of Escherichia coli (A, B, C and D) and two strains of Salmonella (E and F), respectively, have been analyzed in both untreated and UV femtosecond laser pulses irradiated samples, to investigate their screening characteristics and their structural radiotolerance at 256 nm. Spectroscopic band assignments and structural aspects are discussed in the 600–1800 cm−1 and 3000–4000 cm−1 spectral ranges. DNA structural changes at the level of nucleic acids backbone, sugar, PO2− group, nitrogenous base ring and deoxycytidine (C2=O2) have been observed. Consequently, modifications in DNA conformations have been found. Bacterial strain dependent femtosecond laser pulses irradiation effects on DNA structure were observed. Based on FT‐IR biomarkers novel early diagnosis and screening tools for routine use in health care and life sciences can be developed. Furthermore, cancer research could benefit from ultra‐fast lasers technology. Besides, analyzing the interaction mechanisms of DNA with femtosecond laser pulses is highly appreciated for understanding the pathways of irradiation damaged DNA response in living cells.

Effects of Two-Drug Regimens of Antiretroviral Therapy on Inflammatory Biomarkers in CoRIS: A Prospective Nested Cohort Study

Introduction: Because inflammation is associated with mortality and has been linked to HIV transcription in lymphoid tissues during ART, it is necessary to address the long-term effects of switching 3-drug (3DR) to 2-drug regimens (2DR) on inflammation. Methods: This was a nested study in the Spanish AIDS Research Network. We selected HIV-infected ART-naive patients initiating 3DR who achieved viral suppression in the first 48 weeks of ART and either remained on 3DR during their follow-up or switched to 2DR (3TC+bPI; 3TC+DTG; DTG+RPV). We assessed the trajectories on inflammatory predictors of mortality during virologic suppression using multivariate piecewise mixed models. Findings: We analyzed 619 plasma samples from 148 patients (3DR, N=90; 2DR, N=58), the median follow-up was 4.6 (IQR 3.2-6.2) years. There were no significant differences in baseline characteristics between groups. After adjusting for potential confounders, patients with 3DR experienced a slow decline of IL6, high-sensitivity C-reactive protein (hs-CRP), sCD14, sCD163, and D-dimer over time. In contrast, compared to 3DR, switching to 2DR was associated with increases in IL-6 (p=0.001), CRP (p=0.003), and D-dimer (p=0.001) after year 3 from virologic suppression. 2DR was associated with a higher risk of CRP quartile increase (aOR 3.3, 95%CI 1.1-10) and D-dimer quartile increase (aOR 3.7, 95%CI 1.1-13). The adjusted biomarker trajectories did not reveal a distinct pattern according to the type of 2DR used (bPI vs DTG). Interpretation: In this observational study in virally suppressed individuals, maintaining 3DR was associated with a more favorable long-term anti-inflammatory profile than switching to 2DR. The potential clinical implications of these findings on the development of non-AIDS events deserve further investigation. Funding: This work was supported by Instituto de Salud Carlos III, co-financed by the European Development Regional Fund ‘‘A way to achieve Europe’’ (ERDF) (AC17/00019, PI18/00154, COV20/00349, ICI20/00058, the Spanish AIDS Research Network RD16/0025/0001project), and Gilead Sciences (Investigator sponsored research 17- 10192). Declaration of Interest: Outside the submitted work, S. S.-V. reports personal fees from ViiV Healthcare, Janssen Cilag, Gilead Sciences, and MSD as well as non-financial support from ViiV Healthcare and Gilead Sciences and research grants from MSD and Gilead Sciences. J.M.-S. non-financial support from ViiV Healthcare, non-financial support from Jannsen Cilag, non-financial support from Gilead Sciences, outside the submitted work. J.P. reports grants from Instituto de Salud Carlos III during the conduct of the study; grants and personal fees from Gilead Sciences, personal fees from Janssen Cilag, personal fees from ViiV Health Care, personal fees from MSD, outside the submitted work. S.M. reports grants, personal fees and non-financial support from ViiV Healthcare, personal fees and non-financial support from Janssen, grants, personal fees and non-financial support from MSD, grants, personal fees and non-financial support from Gilead, outside the submitted work. There are no potential conflicts of interest. Ethical Approval: The Institutional Review Boards of the Carlos III Health Institute located in Madrid, Spain, the Ethics Committee at University Hospital Ramon y Cajal approved the study (ceic.hrc@salud.madrid.org, approval number 133-17).

CHEST Watch: A High School Outreach Program

As the US population ages, health care workforce shortages are projected in surgery, medicine, and nursing. We describe an outreach program aimed at exposing high school students to health care as a career choice while emphasizing science courses and prevention of tobacco use. High school students were invited to participate in CHEST Watch, a structured educational program based on thoracic pathology. Before students attended the program, parental consent was collected. Students engaged in a discussion with multiple professionals (physicians, nurses, smoking cessation counselors, social workers, basic science researchers) who presented their personal motivation and information about the corresponding career. Participants then observed a lung cancer surgery. A strong anti-tobacco message was emphasized throughout. Before and after the event, the participants completed anonymous opinion surveys which queried their interest in science, health care careers, and tobacco use. The Cochran-Mantel-Haenszel test was used for trend analysis. A total of 4400 students from 84 schools attended CHEST Watch over 15 years. A significant increase in the students' interest in health care careers and science courses (P-value 0.0001) and a significant decrease in tobacco use interest (P-value 0.0001) were observed. Overall, feedback was strongly positive and very popular within the school systems. The CHEST Watch program is an innovative approach intended to recruit youth into health care careers to address projected future shortages in the workforce. Furthermore, the participants' experience resulted in an increasingly positive attitude towards personal health and a decreased interest in use of tobacco products.

Awareness about Nanotechnology among Upcoming Clinicians in Vidarbha, Maharashtra

The making of new things at an incredibly small “nano” scale (100,000 times smaller than the human hair) is called nanotechnology and it is one of the most exciting and fast-moving technology in today’s world. Scientists and engineers have been working hard to make the maximum utilization of this knowledge towards applications like cure for certain diseases, to create certain renewable sources of energy and to bring human race safety into next millennium, thus nanomedicine being one of the most important evolution of nanotechnology.
 In this research, we have done a cross sectional observation, knowledge, perception and attitude study among 56 residents of various clinical departments of Datta Meghe Medical College. According to our survey, it was evident that only 48.21% of the residents were aware of the science of nanotechnology. Television was the source for most of them to know about it. Approximately 35.71% knew the size of nanoparticles which is really low. Of all the residence who knew about nanotechnology, most of the (42.86%) them knew about its application in healthcare whereas comparatively less (28.57%) were aware of its applications in areas besides healthcare. As expected very few (14.29%) had practically used this advanced science in health care. And hardly any knew about limitations or long-term side effects of nanotechnology in health care but most of them supported it.
 With our limited analysis and discussion, we could conclude that awareness and knowledge about nanotechnology among residents who are our upcoming clinicians, was deficient in more than half of them and inadequate among those who had. Universities need to add this subject in their curriculums and have an interdisplinary approach towards this recent advance so that all the medical students and upcoming clinicians have awareness and adequate knowledge regarding nanotechnology & nanomedicine which is going to be the future of medicine having significant impact on our health, comfort and lifestyle.

Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective.

The digital world has a wealth of data, such as internet of things (IoT) data, business data, health data, mobile data, urban data, security data, and many more, in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR). Extracting knowledge or useful insights from these data can be used for smart decision-making in various applications domains. In the area of data science, advanced analytics methods including machine learning modeling can provide actionable insights or deeper knowledge about data, which makes the computing process automatic and smart. In this paper, we present a comprehensive view on “Data Science” including various types of advanced analytics methods that can be applied to enhance the intelligence and capabilities of an application through smart decision-making in different scenarios. We also discuss and summarize ten potential real-world application domains including business, healthcare, cybersecurity, urban and rural data science, and so on by taking into account data-driven smart computing and decision making. Based on this, we finally highlight the challenges and potential research directions within the scope of our study. Overall, this paper aims to serve as a reference point on data science and advanced analytics to the researchers and decision-makers as well as application developers, particularly from the data-driven solution point of view for real-world problems.

Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto-ML.

Artificial Intelligence (AI) and machine learning (ML) have now spawned a new field within health care and health science research. These new predictive analytics tools are starting to change various facets of our clinical care domains including the practice of laboratory medicine. Many of these ML tools and studies are also starting to populate our literature landscape as we know it but unfamiliarity of the average reader to the basic knowledge and critical concepts within AI/ML is now demanding a need to better prepare our audience to such relatively unfamiliar concepts. A fundamental knowledge of such platforms will inevitably enhance cross-disciplinary literacy and ultimately lead to enhanced integration and understanding of such tools within our discipline. In this review, we provide a general outline of AI/ML along with an overview of the fundamental concepts of ML categories, specifically supervised, unsupervised, and reinforcement learning. Additionally, since the vast majority of our current approaches within ML in laboratory medicine and health care involve supervised algorithms, we will predominantly concentrate on such platforms. Finally, the need for making such tools more accessible to the average investigator is becoming a major driving force for the need of automation within these ML platforms. This has now given rise to the automated ML (Auto-ML) world which will undoubtedly help shape the future of ML within health care. Hence, an overview of Auto-ML is also covered within this manuscript which will hopefully enrich the reader's understanding, appreciation, and the need for embracing such tools.

Data Science in Healthcare

Data Science is important in monitoring patients' wellbeing and alerting necessary steps to be taken to avoid diseases. The symptoms of a disease can be predicted quite before they are exhibited by the body. Doctors can now monitor the health of patients without having to be physically present near them, thanks to the advancement of various sophisticated instruments and technology.

Trampoline Motion Decomposition Method Based on Deep Learning Image Recognition

The automatic segmentation and classification of an unknown motion data stream based on given motion classes constitute an important research problem with applications in computer vision, animation, healthcare, and sports sciences. In this paper, the scenario of trampoline motions is considered, where an athlete performs a routine consisting of sequence of jumps that belong to predefined motion classes such as somersaults. The purpose of this study was to make theoretical discussions on the turning starting time and starting technique of trampoline somersault based on image recognition and point out that the appropriate turning starting time of trampoline somersault is the event when the spring net of the trampoline recovers and applies force to the human body, and the overturning start exists in the latter half of the take-off action. It is considered that how to obtain the ideal full reaction force of the net facing the human body is the flip starting technique. This work analyzes the key steps and events for trampoline somersaults and the application of artificial intelligence for the recognition of actions in the healthcare and sports fields. The effectiveness of the proposed study is shown through experimental results. The study can facilitate the process of recognition of trampoline somersault.

Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics.

Nanotechnology has gained prominence over the recent years in multiple research and application fields, including infectious diseases in healthcare, agriculture, and veterinary science. It remains an attractive and viable option for preventing, diagnosing, and treating diseases in animals and humans. The apparent efficiency of nanomaterials is due to their unique physicochemical properties and biocompatibility. With the persistence of pathogens and toxins in the poultry and livestock industries, rapid diagnostic tools are of utmost importance. Though there are many promising nanomaterials-based diagnostic tests specific to animal disease-causing agents, many have not achieved balanced sensitivity, specificity, reproducibility, and cost-effectiveness. This mini-review explores several types of nanomaterials, which provided enhancement on the sensitivity and specificity of recently reported diagnostic tools related to animal diseases. Recommendations are also provided to facilitate more targeted animal populations into the development of future diagnostic tools specifically for emerging and re-emerging animal diseases posing zoonotic risks.

What do urologist do in daily practice? : A first "unfiltered" look at patient care

Auch (berufs)politisch hat das Thema Versorgung und Versorgungsforschung an Relevanz gewonnen und stellt für die Gesundheitspolitik und die an der Versorgung Beteiligten eine wichtige Basis dar. Der Zugang zu relevanten Daten und die Möglichkeiten zur Analyse sind daher umkämpfter denn je, liefern sie doch die besten Argumente und Fakten in jedem Diskurs um letztlich begrenzte Ressourcen des gesamten Gesundheitssektors. Allen randomisierten klinischen Studien und prospektiven Datensammlungen ist gemein, dass sie einen festen vordefinierten Rahmen der zu erfassenden verschiedenen Datenpunkte zugrunde gelegt haben, um störende Einflussfaktoren möglichst zu kontrollieren. Auch Analysen aus retrospektiven Datensammlungen benutzen eine vordefinierte Auswertematrix und filtern die vorhandenen Daten auf diese festgelegten Datenpunkte. Ein ungefilterter Blick auf alle Daten wäre aber der Idealzustand. Näherungsweise sollten in diesem Projekt so viele Daten wir möglich „ungefiltert“ erfasst werden und in einem Datenpool gesammelt werden, die dann durch sich ständig verbessernde Analysealgorithmen aufgearbeitet werden können. Über die automatisierte Extraktion von Daten aus dem Arzt‑/Praxisinformationssystem (AIS) in UROscience wird ein Datenpool entstehen, der für viele Fragestellungen zur Versorgungsrealität genutzt werden kann. Die hier vorgestellte erste Analyse zeigt, dass auf Basis der bereits vorhandenen Daten eine vielseitig einsetzbare Stichprobe für die Darstellung des Versorgungsalltags aus der urologischen Praxis zur Verfügung steht.

Consent. Modern interpretation: "Voluntary Informed Consent"

The article is devoted to voluntary informed consent. It considers the historical issues of the formation of this concept in modern health care and medical science. The article highlights a historical role of the Nuremberg Code which was taken as the basis for the Universal Declaration of Human Rights, the World Medical Association (WMA) Code of Ethics, the Declaration on Bioethics and Human Rights, i.e. documents that defined the world order after the end of World War II.

A DETAIL STUDY OF RUJAKAR MARMA WITH SPECIAL REFERENCE TO INJURIES IN FOOTBALL PLAYERS

Marma is very important topic of Ayurveda, it is also related with trauma and its effect on body. As mentioned in Sushrut Samhita, excruciating pain is produced when there is any injury at the site of Rujakar Marma. In routine any type of pain affects daily activities which is mostly found in sports. Trauma is important aspect of sport medicine as it could hamper whole carrier of sport person. Ayurveda being a complete science of health care can contribute in this field also. Principles, treatment modalities, diet & drugs of Ayurveda can play very useful & im- portant role in this field. In Football game, very rigorous activities are involved which causes direct effect on joints, ligaments, muscles of their extremities. Physical interaction between players can cause contusion, severe pain etc. which affect the player’s game. So, it is necessary to study the Marma sharir through aspects of sports medicine. Also, there is need to protect the Marma sites from trauma to avoid future problems. In present study we are trying to establish relation between science of Marma especially the RujakarMarma & sports medicine. For this we se- lected football game. In this game, chances of injury on Rujakar Marma are more prone. So, the detailed knowledge of Rujakar Marma is useful in prevention of injury in football players. Study shows the commonest site of injury to be ankle joint with inflammation followed by sprain due to kicking. Also, the highly affected marma is Ru- jakar Marma specially Gulpha Marma along with vedana, shopha, stabhdapadata. Keywords: Marma, Rujakar Marma, football, Gulpha Marma, sprain

80 Years on Guard of Biological Safety at the Eastern Borders of Russia

Background: The Research Institute of Epidemiology and Microbiology named after G.P. Somov (1917–2009), D.M.Sc., Professor, Academician of the Russian Academy of Medical Sciences, an outstanding Soviet and Russian epidemiologist and microbiologist, was founded in May 1941. Over the past 80 years, the institute has played an important role in the socio-economic development of Primorye by ensuring biological safety in the south of the Far East known for its Russian largest foci of natural focal infections. The purpose of this review is to describe the milestones of the development and eighty years of activities of Somov Research Institute of Epidemiology and Microbiology, Vladivostok, intertwining with the history of Russian health care and medical science. A new stage in the development of the institute began in September 2020 when, by Order of the Russian Government No. 2276-r of September 7, 2020, the Institute was included in the structure of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing (Rospotrebnadzor). Materials and methods: We have searched for appropriate data for 1928–2020 in the archives of the Research Institute of Epidemiology and Microbiology, State Archives of the Primorsky Krai and the city of Vladivostok, as well as Web of Science, PubMed, Scopus, Elsevier, Springer, and Google Scholar databases. We have also made use of plans and reports of research work, minutes of the Academic Council, orders, and records of the Personnel Department. Results: The article describes the role of the Institute in the development of domestic epidemiology, its cooperation with the sanitary and epidemiological service of the Primorsky Krai, and the main achievements of fundamental and applied studies conducted in order to ensure sanitary and epidemiological welfare of the population in the Russian Federation. It also presents biographical information about leading scientists of the Institute, their participation in the development of theoretical and practical aspects of epidemiology, microbiology, and immunology. The article reflects the main short and long-term trends in the development of the Institute including its restructuring and appropriate adjustment of research plans. Conclusions: Entering a new phase of its development with a solid baggage of knowledge and experience, the Institute plans to develop promising research appropriate to the goals of the Concept of Scientific Support for Rospotrebnadzor Bodies and Organizations until 2025 within the framework of the new sectoral program “Scientific Support for Epidemiological Surveillance and Sanitary Protection of the Territory of the Russian Federation”. The tasks set by the Institute are aimed at strengthening its position as one of the key elements of scientific support for biological security in the south of the Russian Far East.

DOES BUSİNESS SATİSFACTİON AFFECT THE LİFE SATİSFACTİON? EXAMPLE OF HEALTH SCİENCES ACADEMİCS

This research was conducted in a descriptive way to identify the levels of businesssatisfaction and life satisfaction of individuals working as academics in healthcare science. The study was sampled by academics working in the health sciences faculty/colletas in the cities of Nigde, Tokat, Batman and Kayseri, who agreed to participate in the study from 3 February to 31 March 2020.
 The exercise of the research was approved by the Ethics Council of Nigde Omer Halisdemir University; the University of Omer Halisdemir, the University of Tokat Gaziosmanpasa, Batman University and Kayseri Erciyes. The data was collected by researchers using a questionnaire form for the academic demographic characteristics of academics, Minnesota Satisfaction Questionnare (MSQ) andThe Satisfaction with Life Scale (SWL). This research evaluated the data using appropriate analysis methods including SPSS packet programs, Independent t-Test, Pearson Correlation Test and One Way ANOVA Teston the computer.

Using of data science in healthcare

The subject of the research is the approach to the possibility of using data science methods in the field of health care for integrated data processing and analysis in order to optimize economic and specialized processes The purpose of writing this article is to address issues related to the specifics of the use of Data Science methods in the field of health care on the basis of comprehensive information obtained from various sources. Methodology. The research methodology is system-structural and comparative analyzes (to study the application of BI-systems in the process of working with large data sets); monograph (the study of various software solutions in the market of business intelligence); economic analysis (when assessing the possibility of using business intelligence systems to strengthen the competitive position of companies). The scientific novelty the main sources of data on key processes in the medical field. Examples of innovative methods of collecting information in the field of health care, which are becoming widespread in the context of digitalization, are presented. The main sources of data in the field of health care used in Data Science are revealed. The specifics of the application of machine learning methods in the field of health care in the conditions of increasing competition between market participants and increasing demand for relevant products from the population are presented. Conclusions. The intensification of the integration of Data Science in the medical field is due to the increase of digitized data (statistics, textual informa- tion, visualizations, etc.). Through the use of machine learning methods, doctors and other health professionals have new opportunities to improve the efficiency of the health care system as a whole. Key words: Data science, efficiency, information, machine learning, medicine, Python, healthcare.

Hot Topics on Fertility Preservation for Women and Girls-Current Research, Knowledge Gaps, and Future Possibilities.

Fertility preservation is a novel clinical discipline aiming to protect the fertility potential of young adults and children at risk of infertility. The field is evolving quickly, enriched by advances in assisted reproductive technologies and cryopreservation methods, in addition to surgical developments. The best-characterized target group for fertility preservation is the patient population diagnosed with cancer at a young age since the bulk of the data indicates that the gonadotoxicity inherent to most cancer treatments induces iatrogenic infertility. Since improvements in cancer therapy have resulted in increasing numbers of long-term survivors, survivorship issues and the negative impact of infertility on the quality of life have come to the front line. These facts are reflected in an increasing number of scientific publications referring to clinical medicine and research in the field of fertility preservation. Cryopreservation of gametes, embryos, and gonadal tissue has achieved quality standards for clinical use, with the retrieval of gonadal tissue for cryopreservation being currently the only method feasible in prepubertal children. Additionally, the indications for fertility preservation beyond cancer are also increasing since a number of benign diseases and chronic conditions either require gonadotoxic treatments or are associated with premature follicle depletion. There are many remaining challenges, and current research encompasses clinical health care and caring sciences, ethics, societal, epidemiological, experimental studies, etc.

Links between conspiracy beliefs, vaccine knowledge, and trust: Anti-vaccine behavior of Serbian adults

RationaleImmunization is a critical tool in the fight against infectious disease epidemics. Understanding hesitancy towards immunization is even more important nowadays, with the continuous threat of COVID-19 pandemic. Medical conspiracy beliefs, scientific skepticism, as well as low trust in governmental institutions, and evidence-based knowledge all have troubling effects on immunization. ObjectiveTo examine how these factors cross-react to influence vaccine behavior against any vaccine preventable disease (VPD), we hypothesized a model consisting of the belief in conspiracy theories as the predictor, and as the mediators subjective and objective vaccine knowledge, and trust in the health care system and science. The model was tested by examining the vaccine intentions for the children and self for any VPD. MethodsTwo separate studies were conducted on the representative samples of Serbian population; the first study investigated the intentions for child vaccination and the second study examined the vaccine intentions against any VPD, including adult vaccination. We used path analysis followed by logistic regression to analyze the data. ResultsThe results revealed high vaccine hesitancy motivated by the belief in the vaccine conspiracy theories, through its effect on reduced trust in medical science and institutions, and low objective vaccine knowledge. ConclusionsThe results of this study may be used to implement appropriate policy changes and implementation of the public health campaigns to promote immunization with a wide range of vaccines against common diseases, such as measles, human papillomaviruses, or pertussis, and novel diseases, such as COVID.

Debrief it all: a tool for inclusion of Safety-II

Safety science in healthcare has historically focused primarily on reducing risk and minimizing harm by learning everything possible from when things go wrong (Safety-I). Safety-II encourages the study of all events, including the routine and mundane, not only bad outcomes. While debriefing and learning from positive events is not uncommon or new to simulation, many common debriefing strategies are more focused on Safety-I. The lack of inclusion of Safety-II misses out on the powerful analysis of everyday work.A debriefing tool highlighting Safety-II concepts was developed through expert consensus and piloting and is offered as a guide to encourage and facilitate inclusion of Safety-II analysis into debriefings. It allows for debriefing expansion from the focus on error analysis and “what went wrong” or “could have gone better” to now also capture valuable discussion of high yield Safety-II concepts such as capacities, adjustments, variation, and adaptation for successful operations in a complex system. Additionally, debriefing inclusive of Safety-II fosters increased debriefing overall by encouraging debriefing when “things go right”, not historically what is most commonly debriefed.

A review of pragmatic trials found a high degree of diversity in design and scope, deficiencies in reporting and trial registry data, and poor indexing

ObjectiveWe established a large database of trials to serve as a resource for future methodological and ethical analyses. Here, we use meta-data to describe the broad landscape of pragmatic trials including research areas, identification as pragmatic, quality of trial registry data and enrolment. Study Design and SettingTrials were identified by a validated search filter and included if a primary report of a health-related randomized trial published January 2014-April 2019. Data were collated from MEDLINE, Web of Science, ClinicalTrials.gov, and full text. Results4337 eligible trials were identified from 13,065 records, of which 1988 were registered in ClinicalTrials.gov. Research areas were diverse, with the most common being general and internal medicine; public, environmental and occupational health; and health care sciences and services. The term “pragmatic” was seldom used in titles or abstracts. Several domains in ClinicalTrials.gov had questionable data quality. We estimated that one-fifth of trials under-accrued by at least 15%. ConclusionThere is a need to improve reporting of pragmatic trials and quality of trial registry data. Under accrual remains a challenge in pragmatic RCTs despite calls for more streamlined recruitment approaches. The diversity of pragmatic trials should be reflected in future ethical analyses.

National Institute of Nursing Research Grant Funding Recipients: Hispanic and Nurses of Color Are Lagging.

National Institute of Health (NIH) stated in their strategic plan that a diverse research workforce is an important goal for the advancement of health care science; however, there is little evidence to show funding goes to National Institute of Nursing Research (NINR) minority nurse scientists. The study's aim was to determine NINR grant recipients' race/ethnicity, gender, and licensed nurse status. A descriptive research design was used with NIH providing NINR award recipients' names and employing organizations. An online survey with questions about their gender, race, ethnicity, and being a licensed nurse was sent to 619 award recipients. Survey responses were collected from 135 NINR recipients receiving awards. Almost 50% NINR grant recipients were non-nurses. With licensed nurse recipients, White female was the dominate race and gender. Hispanic licensed nurses were 6.8% of the NINR grant recipients over the 3-year period. In addition, Asians and Blacks were the lowest race categories at 4.1% award percentage over the 3-year period. NIH strategic plan is for a diverse research workforce in order to advance health care science. NINR must lead the efforts to grow a diverse nursing workforce including Hispanic and underrepresented nurses in order to successfully compete in NINR grants and funding.