2015
DOI: 10.1097/xeb.0000000000000054
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Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data

Abstract: Prevalence and incidence systematic review and meta-analysis is an emerging methodology in the field of evidence synthesis. These reviews can provide useful information for healthcare professionals and policymakers on the burden of disease, show changes and trends over time in disease, and inform geographical distributions of disease and conditions.

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Cited by 1,873 publications
(1,669 citation statements)
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References 18 publications
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“…The risk of bias (internal validity) and generalizability (external validity) was assessed according to pre-defined criteria which were developed by our group considering published epidemiological literature [18] and internal discussions. The assessment of risk of bias was based on: (i) the reliability of data capture, i.e., whether the prevalence of hearing impairments were judged by the respondents themselves (e.g., in an interview or by means of a questionnaire; high risk of bias), or whether the studies applied standardized audiometric procedures (e.g., pure-tone audiogram; low risk of bias); (ii) definition/specification of the measured hearing loss, i.e., whether the hearing impairment was defined after standardized criteria (e.g., in accordance with WHO criteria; low risk of bias) or whether no adequate definition was used (e.g., this refers primarily to a self-reported hearing impairment; high risk of bias); (iii) the completeness of data, i.e., whether the whole study sample (all recruited people) was considered when data were analyzed (low risk of bias) or whether data were missing (e.g., due to drop-outs; high risk of bias).…”
Section: Methodsmentioning
confidence: 99%
“…The risk of bias (internal validity) and generalizability (external validity) was assessed according to pre-defined criteria which were developed by our group considering published epidemiological literature [18] and internal discussions. The assessment of risk of bias was based on: (i) the reliability of data capture, i.e., whether the prevalence of hearing impairments were judged by the respondents themselves (e.g., in an interview or by means of a questionnaire; high risk of bias), or whether the studies applied standardized audiometric procedures (e.g., pure-tone audiogram; low risk of bias); (ii) definition/specification of the measured hearing loss, i.e., whether the hearing impairment was defined after standardized criteria (e.g., in accordance with WHO criteria; low risk of bias) or whether no adequate definition was used (e.g., this refers primarily to a self-reported hearing impairment; high risk of bias); (iii) the completeness of data, i.e., whether the whole study sample (all recruited people) was considered when data were analyzed (low risk of bias) or whether data were missing (e.g., due to drop-outs; high risk of bias).…”
Section: Methodsmentioning
confidence: 99%
“…[25] We assessed quality in two domains: study participation and outcome measurement. We omitted a domain about response rate, which was not relevant to our study.…”
Section: Methodsmentioning
confidence: 99%
“…We omitted a domain about response rate, which was not relevant to our study. [25] The detailed method used for risk of bias assessment is presented in e-Appendix 3.…”
Section: Methodsmentioning
confidence: 99%
“…Subgroups consisting of only one to two studies were excluded at this stage. Forest plots were generated for each outcome subgroup, without an overall meta-analysis estimate, to visualize the variability in prevalence estimates across studies [20]. Self-efficacy outcomes were summarized at the study level instead of using the approach described above because these data were frequently measured on an ordinal scale and response options varied across studies.…”
Section: Methodsmentioning
confidence: 99%