Clinical
Our clinical nursing articles aim to inform and educate nurse practitioners and students. This is achieved through the publication of peer-reviewed, evidence-based, relevant and topical articles.
Scientific models generated through a textual thematic analysis coding system: part 1
Qualitative modelling creates semantic structure expressed via theme-code, content and functionality
Just one interview’: making visible the hidden workload entailed in qualitative research
Understanding workload is vital to ensure that timelines, recruitment targets and funding are realistic
Nurse researcher identity and reflexivity in interpretive phenomenological analysis
Guidance on how novice nurse researchers can navigate changes in identity
Managing missing and erroneous data in nurse staffing surveys
An approach to assessing and handling inconsistent data, with an example of survey results before and after
The challenges of recruiting and interviewing patients following critical illness
How best to recruit and interview participants in a virtual setting
How to structure Microsoft Excel documents for systematic reviews
The Excel method is efficient and free and can produce transparent and complete reports
Bayesian analysis for nurse and midwifery research
Statistical, practical and ethical benefits of the Bayesian approach
Using mixed methods grounded theory to explain neonatal nurses’ quality of life
Evaluate examples of optimal use and appraisal of mixed methods grounded theory methodology
Managing the elephant in the room: responding to COVID-19’s impact on data collection
How to change data collection methods rather than abandoning research
The improvement in research orientation among clinical nurses in Qatar
Why is there less nursing research in the Middle East than in other countries?
Research behind a webcam: an exploration of virtual interviewing with children
Learn more about virtually interviewing children and young people
Developing codes from the interview: reading versus listening
Create strategies for efficiently analysing data in a grounded theory study