Part B: Research Critique (60 marks)
Article: Tuckett A & Turner C 2016, ‘Do you use social media? A study into new nursing and midwifery graduates ' uptake of social media’, International Journal of Nursing Practice, no. 22, pp. 197–204, doi:10.1111/ijn.12411
Specific critique area Answer
Explain the purpose of the study. Use the PICO or PICo format to identify the research question.
(150 words) This study does not pose a clear research question, but makes a declarative question that identifies the purpose of the research as follows: ‘Do you use social media? A study into new nursing and midwifery graduates’ uptake of social media’ (Tuckett & Turner 2016). The method/aim section of the study sets out concisely, in broad terms, what
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Quantitative data were collected from 112 (93%) survey respondents from a 2014 sample of 121 nurses and midwives. Findings from each method are integrated into the interpretation phase of the study (Richardson-Tench et al 2014). It is, however, important to note that quantitised qualitative data is vulnerable to collinearity and statistical measurement limitations, as small sample sizes can fail to support the research.
Identify and explain sampling and recruitment procedures were in the research.
(200 words) The study sample comprised of 112 Australian and New Zealand newly graduate nursing and midwifery respondents in a 2014 sample of 121 participants. The sample participants were mainly women (96%) reported as mostly registered nurses (93%) who had graduated in 2009 (60%) and 2008 (40%) (Tuckett & Turner 2016). The small sample size is not a representative of all graduates in Australia and New Zealand, and participants are geographically confined to these countries, which limits global generalizability of findings (Tuckett & Turner 2016). However, table 1 within the study does provide clear information on the demographics for the study participants. The response rate of the participants is also clearly stated. The type of sampling used within the study appears to be non-probability sampling. In purposive non-probability sampling, participants are selected based on the study purpose with the
©Copyright 2010 This work is copyright February 2010. Copyright is held jointly by the Australian Nursing and Midwifery Council and the Nursing Council of New Zealand. ISBN 978-0-9807515-7-4 This work is copyright. It may be reproduced in whole or in part for study or training purposes subject to an inclusion of an acknowledgement of the source and is available electronically at www.anmc.org.au. It may not be reproduced for commercial use or sale. Reproduction for purposes other than those indicated above requires a licence or written permission, which may be obtained from the Australian
Communication has been permanently changed by social media. A wide conceptual definition of social media, as cited in Ressler & Glazer (2010), is “The online and mobile accessible services that enable individuals to connect, collaborate, and share with others in real time.” Social media has an obvious influence on informal communication style and represents both possibility and liability for healthcare institutions. As cited in Bernhardt, Alber, & Gold (2014), “Social media provide healthcare professionals with tools to share information, to debate health care policy and practice issues, to promote health behaviors, to engage with the public, and to educate and interact with patients, caregivers, students, and colleagues.” It also presents challenges, including risks to information accuracy, organizational reputation, and individual privacy. Social media can be a very helpful in communicating among nurses and other healthcare providers while creating professional connections, and sharing experiences, but guidelines for appropriate use by healthcare providers are essential. Whether or not certain healthcare organization decides to use social media as a communications tool - social media policy still need to be implemented. Policies help establish an organization 's rules and expectations around social media.
The sample size was large enough since it brought together 2,545 nurses, from different nursing units. In addition, the selection of four different hospitals ensured that there was no bias and that any similarity in research findings could be considered as part of the study’s objectives (Brewer, 2006, p. 650).
This paper examines the public perception of nurses and how social media can be both a detriment and a benefit to the career field.
Social Media in Nursing and The Effect it has on Jobs, Facilities and Nursing Students
BSc, PhD, RN, RNT, PGCHE, ILTM, Head of the Institute of Nursing and Midwifery, School of Health and Social Sciences, Middlesex University BA, MPhil, RN, RGN, RNT, CertED, Senior Lecturer in Nursing, School of Health and Social Sciences, Middlesex University BA, MSc, PGDip, RN, DN, CertED (FE), Senior Lecturer in Health Studies, School of Health and Social Sciences, Middlesex University Abstract A new framework for critiquing health-related research is presented in this article. More commonly used existing frameworks tend to have been formulated within the quantitative research paradigm. While frameworks for critiquing qualitative research exist, they are often complex and more suited to the needs of students engaged
This paper will address and evaluate the research problem itself, the design of the study, the sample, how the data is collected, its limitations, and its findings. Furthermore, how does this study impact the overall nursing process?
Quantitative studies usually contain scientific methodology to define proper sample size, several plans to control for possible mistakes during data collection, and difficult statistical analysis of the data (Conner, 2014). Moreover, quantitative data offers not only the empiric perceptive required for practice but also, supports the personal and experiential knowing critical for practice. Qualitative research presents its discoveries through participants' words and stories, which are easily, applied to nursing care practices. Nurses are attracted to qualitative research because its methods and findings often follow the art of nursing practice, where understanding the whole patient and knowing patients individually matters (Donze, Broede, 2010).
The National Sample Survey of Registered Nurses (NSSRN) is the primary source for obtaining national data on the nursing workforce and is essential in making federal forecast on nursing supply (Nooney, et. al 2010). The data is collected every 4 years by selecting a large sample from the licensing databases to complete a survey. The data collected contained information about education, employment, demographic characteristics and a variety of trends (Auerbach, Staiger, Muench & Buerhaus, 2012).
Quantitive and qualitative studies in research are an important aspect of the nursing profession. Researching and reviewing quantitive and qualitative articles is a process of systematic examination of materials to enhance, validate and learn new knowledge (Schmidt and Brown, 2012, p. 67). As Schmidt and Brown (2012) state, quantitive research design is used to predict relationships and explain relationships and causality whereas qualitative research design gives meaning to events of phenomenon’s (p.72). The purpose of this paper is to identify and
There are three authors for this quantitative research study. Martin Knoll is the HTW of Saarland, Clinical Nursing Research and Evaluation, Saarbruecken, Germany. Christine Lautenschlaeger, Institute of Medical Epidemiology, Biometry and Medical Informatics, Martin Luther University of Halle-Wittenberg, Germany is the second author. And last, Marianne
There are several methods of collecting data for nursing research. The best techniques for collecting data should be well-defined, reliable, valid and done so without interjecting person bias. Data collection for qualitative studies may be in the form of interviews or surveys, participants may take part in a focus group, or be observed in their natural environment. Techniques for quantitative studies could also include surveys, observation, historical data, physiological data, or tests (Tappen, 2016). Any of these approaches are useful collection methods however, the process used must be suitable to answer the research question.
This research article is from the UK and the writer questions if the findings from this study will have heuristic relevance and applicability to nursing and healthcare in the United States (U.S.). Primary healthcare in the UK is provided through the National Health Service (NHS); this writer has little knowledge as to how it works and its impact on patient care and nursing. This limited knowledge may introduce bias in this critique.
The 2011 study’s sample consisted of 107 nurses in two different hospitals in Australia. This is a small sample size decreasing its internal validity (Kukull and Ganguli, 2012), in addition 107 nurses in two hospitals limits the participants to those location decreasing the generalizability of the results as 107 nurses in two hospitals is not an
b) This study used a consecutive non probability sampling method. Generalizability refers to the study’s ability to be copied and applied to the rest of the population. This may not be possible in this case as the study may not be representative of the whole population (Fain, 2013). Therefore baccalaureate prepared nurses should be aware of the limitations. Based on the sampling technique alone, baccalaureate nurses may not be able to incorporate the findings from this study without further testing (Grove, Gray, & Burns, 2015). Therefore, before considering the findings from the study for application into nursing practice, nurses need to carefully examine the findings and compare the findings against other research the available literature. The sampling method used in this study may negatively affect the credibility and validity of this study (Fain, 2013). Therefore, baccalaureate nursing should be aware of this limitation when examining the findings from this study. Consequently, it would be difficult to apply the concept of generalizability to this study as it may not be representative of the whole population. The sample used may not be representative of the whole population (Grove et al., 2015).