Martin Christensen

Dr. Martin Christensen


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 March 2017 in Journal of Nursing Education and Practice
Verified
Journal Article
Open access
PDF file
MCMartin Christensen
Martin Christensen
AWAnthony Welch
Anthony Welch
JBJennie Barr
Jennie Barr
Background and aim: Descriptive phenomenology is widely used in social science research as a method to explore and describe the lived experience of individuals. It is a philosophy and a scientific method and has undertaken many variations as it has moved from the original European movement to include the American movement. The aim of this paper is to describe descriptive phenomenology in the tradition of Edmund Husserl. Integrative literature discussing the nature of descriptive phenomenology was used within this paper to elucidate the core fundamental principles of Husserlian descriptive phenomenology.Methods: This is a methodology paper that provides both an overview of the historical context and the development of descriptive phenomenology in the tradition of Husserl.Results and discussion: Descriptive phenomenology is explained from its historical underpinnings. The principles of the natural attitude, intentionality and the phenomenological reduction are described and using practical examples illustrate how each of these principles is applied within a research context.Conclusions: Understanding the key philosophical foundations of Husserlian descriptive phenomenology as a research method can be daunting to the uninitiated. This paper adds to the discussion around descriptive phenomenology and will assist and inform readers in understanding its key features as a research method.

6 March 2023 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Yat Wa Justina LiuYat Wa Justina Liu
Yat Wa Justina Liu
YYYue-Heng Yin
Yue-Heng Yin
Patrick KorPatrick Kor
Patrick Kor
DCDaphne Sze Ki Cheung
Daphne Sze Ki Cheung
IZIvy Yan Zhao
Ivy Yan Zhao
ALAngela Yee Man Leung
Angela Yee Man Leung
Background: Immersive virtual reality (IVR) applications are gaining popularity in health care education. They provide an uninterrupted, scaled environment capable of simulating the full magnitude of sensory stimuli present in busy health care settings and increase students’ competence and confidence by providing them with accessible and repeatable learning opportunities in a fail-safe environment. Objective: This systematic review aimed to evaluate the effects of IVR teaching on the learning outcomes and experiences of undergraduate health care students compared with other teaching methods. Methods: MEDLINE, Embase, PubMed, and Scopus were searched (last search on May 2022) for randomized controlled trials (RCTs) or quasi-experimental studies published in English between January 2000 and March 2022. The inclusion criteria were studies involving undergraduate students majoring in health care, IVR teaching, and evaluations of students’ learning outcomes and experiences. The methodological validity of the studies was examined using the Joanna Briggs Institute standard critical appraisal instruments for RCTs or quasi-experimental studies. The findings were synthesized without a meta-analysis using vote counting as the synthesis metric. A binomial test with P<.05 was used to test for statistical significance using SPSS (version 28; IBM Corp). The overall quality of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation tool. Results: A total of 17 articles from 16 studies totaling 1787 participants conducted between 2007 and 2021 were included. The undergraduate students in the studies majored in medicine, nursing, rehabilitation, pharmacy, biomedicine, radiography, audiology, or stomatology. The IVR teaching domains included procedural training (13/16, 81%), anatomical knowledge (2/16, 12%), and orientation to the operating room setting (1/16, 6%). The quality of the 75% (12/16) of RCT studies was poor, with unclear descriptions of randomization, allocation concealment, and outcome assessor blinding procedures. The overall risk of bias was relatively low in the 25% (4/16) of quasi-experimental studies. A vote count showed that 60% (9/15; 95% CI 16.3%-67.7%; P=.61) of the studies identified similar learning outcomes between IVR teaching and other teaching approaches regardless of teaching domains. The vote count showed that 62% (8/13) of the studies favored using IVR as a teaching medium. The results of the binomial test (95% CI 34.9%-90%; P=.59) did not show a statistically significant difference. Low-level evidence was identified based on the Grading of Recommendations Assessment, Development, and Evaluation tool. Conclusions: This review found that undergraduate students had positive learning outcomes and experiences after engaging with IVR teaching, although the effects may be similar to those of other forms of virtual reality or conventional teaching methods. Given the identification of risk of bias and low level of the overall evidence, more studies with a larger sample size and robust study design are required to evaluate the effects of IVR teaching. Trial Registration: International prospective register of systematic reviews (PROSPERO) CRD42022313706; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=313706

29 June 2007 in Nursing in Critical Care
Verified
Journal Article
Closed access
PDF file
MCMartin Christensen
Martin Christensen

1 January 2018 in Nurse Education in Practice
Verified
Journal Article
Closed access
SBShannon Bakon
Shannon Bakon
JCJudy Craft
Judy Craft
LWLisa Wirihana
Lisa Wirihana
MCMartin Christensen
Martin Christensen
JBJennie Barr
Jennie Barr
LTLily Tsai
Lily Tsai

28 December 2017 in Nursing in Critical Care
Verified
Journal Article
Closed access
PDF file
MCMartin Christensen
Martin Christensen
MTMichaela Trapl
Michaela Trapl

1 April 2009 in Nursing in Critical Care
Verified
Journal Article
Closed access
PDF file
EAEmma Arend
Emma Arend
MCMartin Christensen
Martin Christensen