This is a scoping review. We will follow the Joanna Briggs Institute (JBI) method for Scoping Reviews, paired with the PRISMA extension for Scoping Reviews (PRISMA-ScR)(4).
Search results will be collated in Endnote and screening will be managed via the web-based tool, Rayyan. Duplicate references will be removed in Rayyan prior to screening and search dates will be recorded to enable updates as and when required.
The search strategy will aim to locate both published and unpublished studies. Backwards and forwards citation searches will be conducted on included papers.
All search strategies will be run in the following databases: the terms will be modified as appropriate for each database:
Sources of unpublished studies/ grey literature to be searched include:
The first screen of included databases will review the title and abstract of all records from the search. Both qualitative and quantitative papers will be assessed by two reviewers (RH/VS). Reviewers will assess each study independently, using the inclusion criteria described above. Disagreements will be resolved through discussion, and records only excluded if both reviewers agree to this. Following title and abstract review, the same methods will be used to assess the full text of retrieved papers for inclusion. Reasons for exclusion of sources of evidence at full text that do not meet the inclusion criteria will be recorded and reported in the scoping review. The reference lists of all included studies will also be screened for potentially relevant articles that meet inclusion criteria. The same inclusion / exclusion criteria will be applied to grey literature hits. The results of the search and the study inclusion process will be reported in full in the final scoping review and presented in a PRISMA flow diagram (4).
Data extraction and synthesis
A data extraction tool developed in Microsoft Excel, will be piloted on the first three papers before utilised for all included papers. Summary data for each included paper will be extracted by one reviewer into a standardised data extraction table, including: authors, year of publication, participants’ characteristics (i.e., age etc.), study characteristics (i.e. study design), methodology, analysis, findings and conclusions.
For qualitative studies, details of the methods of each study with quotes, themes, and concepts pertinent to our research question will be extracted (RH). The findings of each qualitative paper will be coded and
then grouped together into broad themes through discussion (RH/VS). The qualitative and quantitative data will then be brought together in a narrative synthesis using tabulation and thematic analysis.
Qualitative data: A data extraction form will be developed, using Excel to record the following:
Study characteristics: author, year, location, population
Research aim
Methodology (e.g. interviews, focus groups)
Themes related to understanding and perception of myeloma
Quotations or narrative descriptions that reflect perceptions of myeloma or understanding of diagnosis/prognosis/treatment options
Quantitative data: A standardised data extraction form will be developed, using Excel to record the following:
Study characteristics: author, year, location, population size
Study design (e.g., cross-sectional, cohort)
Outcome measures related to perception/understanding of prognosis or treatment
Statistical measures (e.g., means, percentages, standard deviations, confidence intervals, p-values) relating to perception of myeloma).
Summary Tables: Data will be presented in a table and grouped into thematic categories based on study characteristics such as participants, methodology, and data collection technique.
Graphs and Charts: quantitative findings may be illustrated using bar charts, pie charts, or forest plots, such as the proportion of participants reporting satisfactory understanding of their diagnosis.
Narrative Summary: Data will be interpreted to identify commonalities and differences in themes across all selected studies, with findings being represented in a descriptive and narrative format - quotations may also be included to support thematic findings.