Table 1

Quality assessment process adapted from Imms23 and Letts21

Research designCriterionSatisfied if
QualitativeCredibilityCollection of data over a prolonged period and from a range of participants
Use of a variety of methods to gather data
Use of a reflective approach through keeping a journal of reflections, biases or preconceptions and ideas
Triangulation was used to enhance trustworthiness through multiple sources and perspectives to reduce systematic bias. Main types of triangulation are by sources (people, resources); by methods (interviews, observation, focus groups); by researchers (team of researchers vs single researcher) or by theories (team bring different perspectives to research question)
Member checking
TransferabilityCan the findings be transferred to other situations?
Has the researcher described participants and the setting in enough detail to allow for comparisons with your population of interest?
Are there concepts developed that might apply to your clients and their contexts?
Were there adequate (thick) descriptions of sample and setting?
DependabilityIs there consistency between the data and the findings?
Is there a clear explanation of the process of research including methods of data collection, analysis and interpretation often indicated by evidence of an audit trail or peer review?
An audit trail described the decision points made throughout the research process
ConfirmabilityWhat strategies were used to limit bias in the research, specifically the neutrality of the data not the researcher? For example, was the researcher reflective and did they keep a reflective journal, peer review such as asking a colleague to audit the decision points throughout the process (peer audit) and checking with expert colleagues about ideas and interpretation of data, checking with participants (participant audit) about ideas and interpretation of data and having a team of researchers.
QuantitativeSampleSample is representative or has comparison group
Selection bias reduced
population based
representative
convenient
Size of study in relation to design and question (power)
Clearly described participant characteristics
MeasureMeasure is valid for purpose and reliable
Measurement bias is reduced
validity of tool for purpose
reliability of tool
recall/memory
AnalysisAnalyses are appropriate to the research question and outcome measure
statistical significance reported
point estimates and variability provided
clinical importance discussed