Table 3.
Research design | Assessment criteria |
---|---|
Qualitative | QA1—Is the qualitative approach appropriate to answer the research question? |
QA2—Are the qualitative data collection methods adequate to address the research question? | |
QA3- Are the findings adequately derived from the data? | |
QA4- Is the interpretation of results sufficiently substantiated by data? | |
QA5—Is there coherence between qualitative data sources, collection, analysis and interpretation? | |
Quantitative (descriptive) |
QA1—Is the sampling strategy relevant to address the research question? |
QA2- Is the sample representative of the target population? | |
QA3- Are the measurements appropriate? | |
QA4- Is the risk of nonresponse bias low? | |
QA5- Is the statistical analysis appropriate to answer the research question? | |
Quantitative (non- randomised) |
QA1- Are the participants representative of the target population? |
QA2- Are measurements appropriate regarding both the outcome and intervention (or exposure)? | |
QA3- Are there complete outcome data? | |
QA4- Are the confounders accounted for in the design and analysis? | |
QA5- During the study period, is the intervention administered (or exposure occurred) as intended? | |
Mixed methods | QA1- Is there an adequate rationale for using a mixed methods design to address the research question? |
QA2- Are the different components of the study effectively integrated to answer the research question? | |
QA3- Are the outputs of the integration of qualitative and quantitative components adequately interpreted? | |
QA4- Are divergences and inconsistencies between quantitative and qualitative results adequately addressed? | |
QA5- Do the different components of the study adhere to the quality criteria of each tradition of the methods involved? |