Comentarios de Factors that contribute to salutogenesis: Systematic review protocol
Data abstraction and analysis
The data extraction and collection will be performed by two reviewers who independently will evaluate the relevant information within each study, and subsequently, summarize the data that they consider to be most significant. The data obtained throughout this process will be reported electronically in a structured data collection form to facilitate the data summarization (Appendix 2). The data collection will be conducted according to the specific characteristics of this review and will include the following items:
- Citation details (lead author's surname, journal and year of publication)
- Population studied (age, sex, race/ethnicity, geographical region, health conditions including diagnosed chronic diseases, comorbidities)
- Study characteristics (objectives, research methods and methodological quality of the study, data analysis, results)
- Type of data – How the self-rated health measure was assessed - reports of participants’ answers to the SRH question
- Associated determinants evaluated in individuals responding the SRH question (gender, age, life history, personal circumstances, stress, economic conditions, education, occupation, marital status, adherence to treatment, developed or developing countries)
- Main findings
After consensus, the data will be entered into the reference tables.
The quality assessment of the included studies will be performed by two reviewers and based on the approach of reporting quality using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, a 27-item checklist and a four-phase flow diagram used to improve the quality of data reporting and provide transparency in the conduct and findings of the research (appendix 3).
The data analysis of primary studies will be narrative using subjective methods, but it may involve the manipulation of statistical data when feasible. We decided to used narrative synthesis to approach and synthesize the findings from multiple studies as this systematic review aims mainly to identify and summarize determinants that influence people living with chronic diseases to rate their health status based on the SRH measure, and we will have to handle studies with quantitative, qualitative or mixed results as well as heterogeneity in data reporting and missing data.
It's not clear for me, What to so with the data quality assessment. I mean , what happen if a study doesn't cover all 27 items?
the two reviewers mentioned in the data quality assessment are the same that performed the initial search and classification ?