Relevant bibliographies by topics / Nursing – Mathematics

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Nursing – Mathematics'

Author: Grafiati
Published: 26 July 2024
Last updated: 29 July 2024

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Journal articles on the topic "Nursing – Mathematics"

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WODWASKI, NADINE, and JAIME SINUTKO. "Medication Mathematics Competency and Confidence in Nursing Students." Michigan Academician 47, no. 1 (January 1, 2020): 48–59. http://dx.doi.org/10.7245/0026-2005-47.1.48.

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ABSTRACT Confidence and competency with medication mathematics is imperative yet challenging for many in higher education with regard to the nursing profession. The researchers seek to understand if there is there a difference between the course grades of baccalaureate nursing students based upon the instructional methods of fully face-to-face as compared to fully online self-directed mathematic instruction. Grounded in a self-efficacy theoretical framework, self-directed learning (SDL) techniques were explored in this research piece as well as valuable faculty feedback as it relates to the SDL module. The results indicated that students were more successful with SDL or online mathematic instruction, in addition faculty scored the students as more confident in post mathematical education.
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Hutton, B. Meriel. "Nursing mathematics: the importance of application." Nursing Standard 13, no. 11 (December 2, 1998): 35–38. http://dx.doi.org/10.7748/ns1998.12.13.11.35.c2567.

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Middleton, Debra A. "A Standardized Nursing Mathematics Competency Program." Nurse Educator 33, no. 3 (May 2008): 122–24. http://dx.doi.org/10.1097/01.nne.0000312184.43766.57.

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Ogbonnaya, Ugorji Iheanachor, and Florence Awoniyi. "MATHEMATICS IN THE NURSING PROFESSION: STUDENT AND PROFESSIONAL NURSES' PERSPECTIVE." JOHME: Journal of Holistic Mathematics Education 5, no. 2 (December 22, 2021): 125. http://dx.doi.org/10.19166/johme.v5i2.4631.

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<p>Mathematical knowledge and skill are needed by all students in their studies and future careers. Students’ perceived relevance of mathematics in their future careers influences their attitude towards learning mathematics. This study explored student and professional nurses' perceived relevance and application of mathematics in the nursing profession. A sample size of 301 nursing students in a University in Ghana and 12 professional nurses participated in the study. Data was collected using a questionnaire and interview and was analyzed using descriptive statistics and thematic analysis. The study revealed that both the professional and the student nurses perceived Statistics, Ratio and Rates, and Percentages as the topics in school mathematics that they find most relevant and applicable to their study and practice of nursing. It is recommended that the senior high school mathematics teachers may need to always share the professional applicability of any topic they teach, by using authentic and real-life situations in various professions.</p>
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Altschul, A. "Mathematics for nursing (book and calculator pack)." International Journal of Nursing Studies 23, no. 3 (January 1986): 279. http://dx.doi.org/10.1016/0020-7489(86)90030-1.

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TS, Sumaiyah Jamaludin. "Numeracy Skills for Undergraduate Nursing Students’ Clinical Skill Assessment: An Expository Analysis." Nursing & Healthcare International Journal 6, no. 2 (2022): 1–5. http://dx.doi.org/10.23880/nhij-16000261.

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Introduction: Nursing and mathematics are synonymous, particularly in clinical settings. Numeracy skills have been identified as one of the competency elements for outcome-based education in nursing. Studies have shown that undergraduate nursing students continue to perform poorly on clinically-related numeracy tasks, making errors that betray fundamental misconceptions about the underlying mathematics. These conditions can be eliminated when an effort is made and the effects can be rewarding for nursing students, nursing academics and as well as improving patient care. Aim: This study aimed to address the importance of numeracy skills for undergraduate nursing students’ clinical skill assessment. Method: This study used an expository analysis approach to address the issues of the importance of numeracy skills competency in the clinical skill assessment of undergraduate nursing students. We have analysed the current undergraduate nursing curriculum and clinical skill assessment components. Moreover, we also review the available literature related to numeracy skills competency for nursing students and newly registered nurses. Finding: Numeracy skills are one of the important elements of competencies skills that have been introduced to the current Malaysian undergraduate nursing programme. However, the achievement part of it is still questionable. Evidence has shown that new graduate nurses often lack the numeracy skills needed to enable them to do their jobs safely and effectively in the clinical setting. Among the errors done by the new graduate nurses and nursing students are drug calculation errors and which accounted for 30-40% in the clinical. Conclusion: Numeracy skills competency assessment is vital for undergraduate nursing students who have to make complex calculations and analyse the patient’s situation in their clinical setting. Improving numeracy skills for undergraduate nursing students can reduce medical errors and ultimately improve efficiency in the nursing care towards their patients.
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Starkings, Susan. "Drug Calculation and the Mathematics required for Nursing." MSOR Connections 3, no. 4 (November 2003): 46–49. http://dx.doi.org/10.11120/msor.2003.03040046.

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JH, Johnson. "Establishing Reputational Equity for the Nursing Profession." Nursing & Healthcare International Journal 5, no. 1 (2021): 1–3. http://dx.doi.org/10.23880/nhij-16000231.

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Hodds, Mark. "Supporting nursing students’ mathematical understanding." MSOR Connections 18, no. 3 (July 25, 2020): 23–29. http://dx.doi.org/10.21100/msor.v18i3.1079.

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A key component of any nursing course is the ability to confidently, and competently, use basic mathematical skills. Indeed, without such skills they would be unable to work safely and successfully in the profession (McMullan, Jones, and Lea, 2012; Choudhary and Malthus, 2017). Furthermore, many nursing students come on to their courses having not studied any form of formal mathematics for years and are very likely to have some form of maths anxiety (McMullan, Jones, and Lea, 2012). sigma Maths Support at Coventry University have developed a programme, in partnership with the Faculty of Health and Life Sciences (HLS), to support these students with their mathematical skills using a variety of small interventions. The interventions require little time and effort to prepare and have proven to be very successful. This article will discuss the methods used, including diagnostic testing, the use of ‘Numbas’, and self-explanation training (as described in Hodds, 2017), alongside the outcomes of the programme.
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Rana, Shristi. "Assertiveness Among Nursing Students Of A Nursing Institute In Kathmandu." Journal of Manmohan Memorial Institute of Health Sciences 8, no. 2 (November 6, 2023): 61–69. http://dx.doi.org/10.3126/jmmihs.v8i2.59752.

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Background: Assertiveness is a key attribute for successful nursing practice. A professional nurse must be assertive for improving nursing care so it should be emphasized during their academic period. The objective of the study was to find out the assertiveness among nursing students in Kathmandu. Method: A descriptive cross-sectional study design with 71 nursing students of Proficiency Certificate Level (PCL) in Manmohan Memorial Institute of Health Sciences was conducted between 27th April, 2022 to 27th May 2022. Non-probability sampling technique was used to select the sample. Assertiveness Scale of Begley and Glacken, a self-administered questionnaire was used for data collection which was distributed to the respondents by mail. Data analysis and interpretation was done using descriptive and inferential statistics. Result: The result showed that majority of the respondents (87.3%) had moderate level of assertiveness and very least respondents (4.2%) had high level of assertiveness. Respondents were found to be more assertive who enjoy to start conversations with strangers (3.75±0.61), who are always frank about their feelings (3.57±0.92) and never find difficult to compliment and praise friends (2.97±1.01). However, they were less assertive in trying to avoid conflict (1.45±1.41), never disagree when a friends’ opinion is wrong (1.63±1.00) and are more careful to avoid hurting other people’s feelings (1.24±0.68). There is no significant association between level of assertiveness with sociodemographic variables. Conclusion: The findings of the study conclude that the majority of respondents were less assertive in avoiding conflict, disagreeing to friends’ opinion and careful to avoid hurting other people’s feeling. So, the concerned academic organization should emphasis more on encouraging assertiveness among the nursing students.
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Dissertations / Theses on the topic "Nursing – Mathematics"

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Vagliardo, James Joseph. "Mathematics and nursing students' conceptual understanding of mathematics for nursing /." Diss., Online access via UMI:, 2008.

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Gensler, Connie. "A correlation study of ACCUPLACER math cut scores, developmental math modules, math prep, and academic preparedness in the shared nursing program at Nicolet Area Technical College." Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004genslerc.pdf.

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Knisley, Jeff, L. Lee Glenn, Karl Joplin, and Patricia Carey. "Eigenslope Method for Second-Order Parabolic Partial Differential Equations and the Special Case of Cylindrical Cellular Structures With Spatial Gradients in Membrane Capacitance." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etsu-works/7521.

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Boundary value problems in PDEs usually require determination of the eigenvalues and Fourier coefficients for a series, the latter of which are often intractable. A method was found that simplified both analytic and numeric solutions for Fourier coefficients based on the slope of the eigenvalue function at each eigenvalue (eigenslope). Analytic solutions by the eigenslope method resulted in the same solutions, albeit in different form, as other methods. Numerical solutions obtained by calculating the slope of the eigenvalue function at each root (hand graphing, Euler's, Runge-Kutta, and others) also matched. The method applied to all classes of separable PDEs (parabolic, hyperbolic, and elliptical), orthogonal (Sturm-Liouville) or non orthogonal expansions, and to complex eigenvalues. As an example, the widespread assumption of uniform capacitance was tested. An analytic model of cylindrical brain cell structures with an exponential distribution of membrane capacitance was developed with the eigenslope method. The stimulus-response properties of the models were compared under different configurations and shown to fit to experimental data from dendritic neurons. The long-standing question was addressed of whether the amount of variation of membrane capacitance measured in experimental studies is sufficient to markedly alter the vital neuron characteristic of passive signal propagation. We concluded that the degree of membrane capacitance variation measured in cells does not alter electrical responses at levels that are physiologically significant. The widespread assumption of uniform membrane capacitance is likely to be a valid approximation.
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Ozorio, Dutra Samia Valeria. "Adapting SafeMedicate (Medication Dosage Calculation Skills software) For Use In Brazil." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7700.

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Medication related errors are a significant cause of morbidity and mortality. In Brazil, most errors are related to prescribing, preparing, and administering medications. One way to deal with this barrier to safe care is through assessment and education of medication calculation dosage skills. Considering the Brazilian reality, this dissertation is a context and language adaptation of an evidence-based intervention called safeMedicate, a program that reinforces learning synthesis in crucial elements of medication dosage problem solving and provides the foundation for development in remaining levels of the hierarchy of learning. A guideline for medication calculation skills development or improvement based on the seven research-based principles for smart teaching was developed. Teaching approaches are beneficial for multiple methods of learning by addressing cognitive, motivational, and developmental goals. Web-based software would be a strong ally on adopting those approaches by complementing the class practice and providing opportunities for practice learning. The two-phases of adaptation and preliminary evaluation of safeMedicate for use in Brazil were guided by the Participatory and Iterative Process Framework for Language Adaptation (PIPFLA) cross-cultural equivalence model. A triangulation method of face validity survey, journaling, and multiple focus groups was used. The focus groups were (1) language adaptation team, (2) panel of experts, and (3) student panel. In order to analyze focus group data, a systematic coding procedure was performed through an iterative process, solving any differences between coders in order to guarantee internal consistency. The main themes were language, visual, content, programing, and data while discussing necessary adaptations of safeMedicate for use in Brazil.
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Glenn, L. Lee, and Jeffrey R. Knisley. "Voltage Transients in Branching Multipolar Neurons With Tapering Dendrites and Sodium Channels." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/7537.

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Book Summary: With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neiroscience. Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive treatment of various aspects of the neurosciences from the biophysical, cellular and netwrok levels. Many state-of-the-art examples are presented as to how mathematical and computer modeling can contribute to the understanding of mechanisms and systems in the neurosciences. Each chapter also includes suggestions of possible refinements for future modeling in this rapidly changing and expanding field. This book will benefit and inspire the advanced modeler, and give the beginner sufficient confidence to model a wide selection of neuronal systems at the biophysical, cellular and network levels.
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Wade, Spencer. "Influence of reading and mathematics screening tests and student ages on academic achievement in a two year Canadian college nursing program." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/31217.

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Presently the Douglas College General Nursing Program screens its applicants with the Nelson-Denny Reading Test and the Stanford Diagnostic Math Test in the belief that those tests set appropiate standards for admission to the program. No research had been performed to validate this belief. This descriptive, exploratory study examined the available data to determine the influence of the screening tests on academic achievement. Since the literature documents the influence of demographic variables on academic achievement in nursing programs, the students' ages were also included in this study. The students' scores on the screening tests, and the students' ages, were correlated with their scores on six nursing academic scores in the first two semesters in the program. Canonical correlation analysis was performed on the same data to see if insight could be obtained about the interrelationships of the screening tests, the students ages, and academic achievement. The Pearson r correlations indicate that the influence of the screening tests was small to moderate on academic achievement in the individual courses, and that students' ages demonstrated the weakest correlation. Sub-test 3 of the Stanford Diagnostic Math test consistently correlated the highest with the academic course scores with only two exceptions, and in those cases it was the second highest correlate. The canonical correlation analysis demonstrates that there are two underlying linkages or dimensions between the two data sets. The first dimension demonstrates the dominance of the Stanford Diagnostic Math sub-tests in correlating with academic achievement. The second dimension is too weak to make assumptions about the relationship between the two data sets, but it does suggest that the students' ages influence academic achievement.
Education, Faculty of
Educational and Counselling Psychology, and Special Education (ECPS), Department of
Graduate
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Knisley, Jeff R., and L. Lee Glenn. "A Linear Method for the Curve Fitting of Multiexponentials." Digital Commons @ East Tennessee State University, 1996. https://dc.etsu.edu/etsu-works/7542.

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Two single-pass methods for fitting multiexponentials to experimental data are described. These methods rely on the construction of a matrix whose characteristic polynomial is used to determine the rates of decay. In the first method, which we call the multiple-delay method, the matrix is constructed using time delays of the experimental data. This method is fast and highly accurate even if the experimental signal contains exponential components with similar rates of decay. In the second method, which we call the successive-integral method, the matrix is constructed using integrals of the experimental data. This procedure yields good results for noisy signals and is a generalization of the method of Martin et al. ((1993) J. Neurosci. Methods, 51: 135-146). In addition, a particular instability of the multiexponential curve fitting problem is identified and a method for overcoming this instability is given.
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Knisley, Jeff, L. Lee Glenn, Karl Joplin, and Patricia Carey. "Artificial Neural Networks for Data Mining and Feature Extraction." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etsu-works/7520.

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Artificial Neural Networks are models of interacting neurons that can be used as classifiers with large data sets. They can also be used for feature extraction and for reducing the dimensionality of large data sets. Den-Dritic electrotonic models can be used to suggest more robust artificial neural network models that are amenable to data mining and feature extraction.
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Glenn, L. Lee, and Jeff Knisley. "Transients in Branching Multipolar Neurons With Tapering Dendrites and Sodium Channels." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/7523.

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Book Summary: Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based "integrate and fire" and "compartmental" styles of modeling suffer from oversimplification in the former case and excessive discretization in the second. This book introduces an integrative approach to modeling neurons and neuronal circuits that retains the integrity of the biological units at all hierarchical levels. With contributions from more than 40 renowned experts, Modeling in the Neurosciences, Second Edition is essential for those interested in constructing more structured and integrative models with greater biological insight. Focusing on new mathematical and computer models, techniques, and methods, this book represents a cohesive and comprehensive treatment of various aspects of the neurosciences from the molecular to the network level. Many state-of-the-art examples illustrate how mathematical and computer modeling can contribute to the understanding of mechanisms and systems in the neurosciences. Each chapter also includes suggestions of possible refinements for future modeling in this rapidly changing and expanding field. This book will benefit and inspire the advanced modeler, and will give the beginner sufficient confidence to model a wide selection of neuronal systems at the molecular, cellular, and network levels.
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Clary, G. H. "Congurence among mathematics skills used on the job by practical nurses vs. the prerequisite skills required for admission into the practical nursing program." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000189.

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Books on the topic "Nursing – Mathematics"

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Bruce, Wilson. Logical nursing mathematics. Albany, N.Y: Delmar Publishers, 1987.

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Christine, Schutz, Decker Phillip J, and Sullivan Eleanor J. 1938-, eds. Nursing management: An experiential. 2nd ed. Menlo Park, CA: Addison-Wesley, 1988.

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Gatford, J. D. Nursing calculations. 6th ed. Edinburgh: Churchill Livingstone, 2002.

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Sandra, Rischmiller, ed. Science in nursing. Sydney: W.B. Saunders, 1986.

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Sandra, Rischmiller, ed. Science in nursing. 3rd ed. Sydney: Saunders/Baillière Tindall, 1991.

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Sandra, Rischmiller, ed. Science in nursing. 2nd ed. Sydney: Saunders/Baillière Tindall, 1989.

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Schutz, Christine. Nursing management: An experimental/skill building workbook. 2nd ed. Menlo Park, Calif: Addison-Wesley, 1988.

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Gatford, J. D. Nursing calculations. 4th ed. Edinburgh: Churchill Livingstone, 1994.

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Gatford, J. D. Nursing calculations. 3rd ed. Edinburgh: English Language Book Society/Churchill Livingstone, 1990.

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Rice, Jane. Medications and mathematics for the nurse. 7th ed. Albany, N.Y: Delmar Publishers, 1993.

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Book chapters on the topic "Nursing – Mathematics"

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Coben, Diana, and Meriel Hutton. "Mathematics in a Safety–Critical Work Context: The Case of Numeracy for Nursing." In New ICMI Study Series, 127–35. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02270-3_11.

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Huarng, Fenghueih. "Integer Goal Programming Model for Nursing Scheduling: A Case Study." In Lecture Notes in Economics and Mathematical Systems, 634–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59132-7_68.

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Rocha, Javier, Caroline Dominguez, and Adelaide Cerveira. "Stock Management Improvement in a Nursing Ward Using Lean Approach and Mathematical Modelling." In Communications in Computer and Information Science, 714–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23236-7_49.

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Chattri, GL. "Learning Basic Mathematics." In Nursing Drug Dosages and their Calculations, 205. Jaypee Brothers Medical Publishers (P) Ltd., 2018. http://dx.doi.org/10.5005/jp/books/14225_49.

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Barron, Carol, and Eleanor Hollywood. "Drug administration." In Clinical Skills in Children's Nursing. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199559039.003.0015.

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By the end of this chapter you will be introduced to the concepts of pharmacokinetics and pharmacodynamics with specific emphasis on the infant, child, and young person. You will be presented with the current evidenced- based practice in relation to differing routes of drug administration in children and young people, underpinned by a firm rationale throughout. The key points to consider when administering medications via differing routes to children will be explored. Throughout this chapter the importance and method of drug calculations and mental mathematics will be highlighted, as befits their importance in the safe preparation and administration of all medications. It is anticipated that you will be able to do the following once you have read and studied this chapter: ● Discuss pharmacokinetics and pharmacodynamics as they relate to drug administration with children. ● Understand the mathematical calculations required to accurately prepare and administer medications in children. ● Understand the key nursing skills required to administer medications to children and young people via differing routes. Historically, drug development specifically for children was only conducted for common disorders/diseases where medication was part of the accepted treatment. Examples are medicines for epilepsy or asthma, antibiotics, or vaccines (Rose, 2005). Because the numbers of children are small in comparison with adults, and the child population is subdivided into age groups from neonates to teenagers, pharmaceutical companies are governed by the commercial market. Consequently they assign limited resources to drug development in the child population because of more limited profit margins. However, this situation is changing, as the European Union established a European Network for Drug Investigation in Children in 1998, with a commitment to improve both clinical use and research into drugs for children (Van den Anker & Choonara, 1999). An international meta-register of controlled clinical trials has been created where particular emphasis is placed on paediatric aspects (Bonati et al., 2001). All of these initiatives serve to change the prevailing view of children as ‘therapeutic orphans’ to an acknowledgement that children are consumers of healthcare services and as such have the right both ethically and morally to medications that are designed and trialled for them specifically.
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Qiu, Xiaoran, and Wenxia He. "Design and Exploration of Online and Offline Hybrid Teaching Systems Based on CiteSpace’s Visual Knowledge Graph Combined with MOOCs – A Case Study of Surgical Nursing." In Digitalization and Management Innovation II. IOS Press, 2023. http://dx.doi.org/10.3233/faia230751.

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Knowledge map is a modern concept that combines theories and methods of applied mathematics, graphics, information visualization technology, information science and other disciplines with metrology citation analysis, co-occurrence analysis and other methods. It uses the visual map to display the core structure, development history, frontier fields and overall knowledge structure of the discipline to achieve multidisciplinary integration. Our school’s “Surgical Nursing” course is a provincial-level blended online and offline first-class course. With the help of modern information technology and the carrier of the Super Star MOOC platform, we make full use of all kinds of high-quality course teaching resources and explore the mixed online and offline teaching systems. In order to improve the nursing students’ scientific research literacy and ability, cultivate the concept of lifelong education and learning for students, an attempt is made here, by taking the section “Upper urinary tract stones” in “Surgical Nursing” as an example, to illustrate the design of an online and offline hybrid teaching systems based on CiteSpace’s visual knowledge graph combined with MOOCs.
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Brack, Graham, Penny Franklin, and Jill Caldwell. "Medicines Management: Drug Calculations." In Medicines management for nursing practice. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199697878.003.0014.

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After reading this chapter you should be able to:.. ● Understand the importance of drug calculations ● Recognize different types of calculations ● Know where you can find help with numeracy ● Successfully complete basic calculations for medicines…. Are you good at drug calculations? This is a question you must ask yourself and be honest about the answer. There is no room for inaccuracies when calculating medicine dosages and if you are not happy working with numbers then you need to practise. Drug calculation is a critical area when managing medicines and is open to error. All health professionals who are dispensing, supplying, or administering drugs will need to perform drug calculations to a greater or lesser extent. Registered professionals are accountable and responsible for their decisions and actions and cannot rely on others to check the accuracy of their calculations. The NMC’s medicines management skills cluster for pre-registration nursing programmes (2010) states that patients can trust registered nurses to undertake medicines calculations correctly and safely. Numeracy skills are required to ensure this and to enable registered nurses to perform the drug calculations required to administer medicines safely via appropriate routes. All branches of nursing must also recognize the specific requirements for children and other groups with regard to medicines’ calculations. Within this chapter we offer some explanations and the chance to practise some calculations. There is an expectation that all pre-registration health care professionals will have at least GCSE mathematics or equivalent, such as the Scottish Certificate of Education, therefore explanations will assume you have this level of knowledge. Universities recognize that some students have real difficulty with numeracy and they make additional support available from local study skill centres. Your personal tutor will have details. One area of frequent confusion is the use of SI units (International System of Units). SI units are units of measurement for example grams, milligrams, or micrograms, which measure weight; and millilitres or litres, which measure volume. When calculating drug doses, make sure that you are aware of the SI unit that is being used, for example, grams or milligrams, litres or millilitres; see Table 8.1 for equivalences of weight and volume.
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Puhan, Kabita. "MANAGEMENT IN HEALTH CARE." In Futuristic Trends in Pharmacy & Nursing Volume 2 Book 24, 173–84. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs24ch14.

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The word "management" refers to a procedure, a career, and a group of individuals. A range of disciplines, including philosophy, economics, mathematics, political science, and behavioral sciences have contributed to the body of knowledge known as management, which is multidimensional in nature. Health care management is the study of a few facets of healthcare, such as quality assurance, international health care systems, health care economy, and health care policy as they relate to the diagnosis, prevention, and management of sickness.In importance of management in health care includes accomplishment of the organization goal, provides vision and mission, increase efficiency, crystallize nature of management, effective utilization of resources, brings harmony in group, to improve research& to attain social goals. The levels of management in health care can be classified in three broad categories on the basis of hierarchy, their position and relative responsibilities. These levels are: Top Level of Management, Middle Level of Management & Lower Level of Management (Operative level of Management).In skills of management in health care includes communication, teamwork, flexibility stress management, time management & decision-making. Types of management in health care are clinical management, health care consulting, medical entrepreneurship, nursing home management, health insurance underwriting management, academia & emergency management. Functions of nursing management in health care includes Planning, Organising, Staffing, Directing and Control ling.The principles of management in nursing are the statements of fundamental truth related to nursing field. which are derived at through observation and analysis of events, faced by Managers in practice in clinical include Division of Work, Authority and Responsibility, Discipline, Unity of Command, Unity of Direction, Subordination of individual interest, Remuneration, Centralization, Scalar chain, Order ,Equity, Stability of Tenure of Personnel ,Initiative, & Esprit de Corps Future nursing administration and management will be impacted by a number of issues and developments, including the nursing shortage, opportunities for lifelong learning, the significant advancements in nursing science and research, the challenge of managed care, and the impact of health policy and regulation. Management is a systemic process of management activity, which is based on financial status, objectives, activities and control or authority over workers
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Liebovitch, Larry, Robin Vallacher, Andrzej Nowak, Peter Coleman, Andrea Bartoli, and Lan Bui-Wrzosinska. "Mathematical Models of the Dynamics of Social Conflict." In Nursing, Caring, and Complexity Science. New York, NY: Springer Publishing Company, 2011. http://dx.doi.org/10.1891/9780826125880.0009.

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Gartner, Daniel, and Rema Padman. "Mathematical Programming and Heuristics for Patient Scheduling in Hospitals." In Handbook of Research on Healthcare Administration and Management, 627–45. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0920-2.ch038.

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The effective and efficient treatment of individual patients subject to scarce hospital resources is an increasingly important and challenging problem for decision makers to address. A recent study by the U.S. Bureau of Labor Statistics listed Registered Nursing among the top occupations in terms of job growth until the year 2022 (American Association of Colleges of Nursing (2015)). This growing demand can be explained in part by the large number of aging baby boomers with multi-morbid health conditions who typically require more treatments and longer length of stay in a variety of healthcare delivery settings (Vetrano et al. (2014)). Given the projected demand growth and reduced mobility of elderly patients, efficient operational research methods have to be developed and deployed for optimizing the process of scheduling the treatment of individual patients in highly resource constrained environments. We will henceforth denote this process as ‘patient scheduling' and provide a problem definition and a review of current approaches in the course of this chapter.
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Conference papers on the topic "Nursing – Mathematics"

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Marks-Riberdy, Kristen, and Wendy Barber. "MEDICATION MATHEMATICS IN NURSING EDUCATION: A REVIEW OF LITERATURE." In 13th International Conference on Education and New Learning Technologies. IATED, 2021. http://dx.doi.org/10.21125/edulearn.2021.0366.

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Sarini, Irma Listia, Efy Afifah, and Dewi Gayatri. "Relationship between stress level and eating behaviour of nursing student during clinical practice in hospital." In SECOND INTERNATIONAL CONFERENCE OF MATHEMATICS (SICME2019). Author(s), 2019. http://dx.doi.org/10.1063/1.5096744.

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Nasution, Siti Zahara, Cholina Trisa Siregar, Reni Asmara Ariga, Muhammad Ridha Haykal Amal, Widya Darayani Purba, and Muhammad Taufik. "Family Support to Elderly at Nursing Home in Medan City, Indonesia." In The International MIPAnet Conference on Science and Mathematics (IMC-SciMath). SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0010182600002775.

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Pratama, Kharisma, Jaka Pradika, Gusti Jhoni Putra, Syahid Amrullah, Tisa Gusmiah, Yenni Lukita, Surtikanti, Lince Amelia, and Cau Kim Jiu. "Prevention for risk ulceration on diabetic foot patients – Nursing staff competency." In SIXTH INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0128337.

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"Transition to First Year University Study: A Qualitative Descriptive Study on the Psychosocial and Emotional Impacts of a Science Workshop." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4188.

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[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/purpose The purpose of this article is to discuss the psychosocial and emotional outcomes of an introductory health science workshop designed to support and assist incoming health science students before starting their university study. Background For the past two decades, a South Australian university offered an on-campus face to face workshop titled ‘Preparation for Health Sciences’ to incoming first-year students from eleven allied health programs such as Nursing, Physiotherapy and Medical Imaging. While many were locals, a good number came from regional and rural areas, and many were international students also. They consisted of both on-campus and off-campus students. The workshop was created as a new learning environment that was available for students of diverse age groups, educational and cultural backgrounds to prepare them to study sciences. The content of the four-day workshop was developed in consultation with the program directors of the allied health programs. The objectives were to: introduce the assumed foundational science knowledge to undertake health sciences degree; gain confidence in approaching science subjects; experience lectures and laboratory activities; and become familiar with the University campus and its facilities. The workshop was delivered a week before the orientation week, before first-year formal teaching weeks. The topics covered were enhancing study skills, medical and anatomical terminology, body systems, basic chemistry and physics, laboratory activities, and assessment of learning. Methodology In order to determine the outcomes of the workshop, a survey was used requiring participants to agree or disagree about statements concerning the preparatory course and answer open-ended questions relating to the most important information learned and the best aspects of the workshop. Several students piloted this questionnaire before use in order to ascertain the clarity of instructions, terminology and statements. The result of the 2015-2018 pre- and post-evaluation showed that the workshop raised confidence and enthusiasm in commencing university and that the majority considered the workshop useful overall. The findings of the survey are drawn upon to examine the psychosocial and emotional impacts of the workshop on participants. Using secondary qualitative analysis, the researchers identified the themes relating to the psychosocial and emotional issues conveyed by the participants. Contribution The contributions of the article are in the areas of improving students’ confidence to complete their university degrees and increasing the likelihood of academic success. Findings Of the 285 students who participated in the workshops from 2015 to 2018, 166 completed the survey conducted at the conclusion of the initiative, representing a 58% response rate. The workshops achieved the objectives outlined at the outset. While there were many findings reported (Thalluri, 2016), the results highlighted in this paper relate to the psychosocial and emotional impacts of the workshop on students. Three themes emerged, and these were Increased preparedness and confidence; Networking and friendships that enhanced support, and Reduced anxiety to study sciences. Some drawbacks were also reported including the cost, time and travel involved. Recommendations for practitioners Students found the introductory workshop to be psychosocially and emotionally beneficial. It is recommended that the same approach be applied for teaching other challenging fields such as mathematics and physics within the university and in other contexts and institutions. Recommendations for researchers Improving and extending the workshop to provide greater accessibility and autonomy is recommended. A longitudinal study to follow up the durability of the workshop is also proposed. Impact on society The impacts in the broader community include: higher academic success for students; improved mental health due to social networking and friendship groups and reduced anxiety and fear; reduced dropout rate in their first year; greater potential to complete educational degrees; reduced wastage in human and financial resources; and increased human capital. Future research Addressing the limitations of cost, time and travel involved, and following-up with the participants’ academic and workplace performance are future directions for research.
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