Reporting
We reported the result of this meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline[26] (Additional file 1 research checklist).
Literature search
The databases for the search were Web of Science, PubMed, and Google Scholar databases. The terms for the search were pre-defined for a comprehensive search strategy. These included all fields within records and Medical Subject Headings (MeSH terms). In the Boolean operator, within each axis, we combined keywords with the “OR” operator. Then we linked the search strategies for the two axes with the “AND” operator. The search terms used for the search were “surgical case cancellation” OR “elective surgical case cancellation” AND “prevalence” OR “magnitude” AND reasons of surgical case cancellation AND “Ethiopia”. The specific searching detail in PubMed with MeSH terms was (“magnitude of surgical case cancellation”[MeSH Terms] OR “magnitude of elective surgical case cancellation”[MeSH Terms] OR “surgical case cancellation”[MeSH Terms] OR “elective case cancellation”[MeSH Terms] AND “prevalence” [All Fields])OR “magnitude”[MeSH Terms] AND reasons of surgical case cancellation [All Fields]) AND (“Ethiopia”[MeSH Terms] by the date 02/08/2020. The publication year of the studies was not limited during the search.
Study selection
All retrieved studies were exported to Endnote version 7 (Thomson Reuters, London) reference manager that we used to remove duplicated studies.
The retrieved articles were screened according to pre-defined inclusion and exclusion criteria. Discussion and/or involvement of the third reviewer resolved any disagreements.
Eligibility criteria
Inclusion criteria
Included studies were articles that reported the prevalence of elective surgical case cancellation and/or reasons for elective surgical case cancellation. Studies published in English and studies conducted only in Ethiopia. The publication year of the studies was not limited during the search.
Exclusion criteria
Excluded criteria were articles without full-text available and qualitative studies. Other excluded criteria were any reviews, commentaries, consultants’ corners, letters, and conference abstracts.
Quality assessment
We used Joanna Brigg’s Institute (JBI) quality appraisal criteria[27]. It is the assessment tool used to check the quality of each article. The tool consists of nine major items. The first item is appropriate to the sample frame. The second is the appropriate sampling technique. The third is the adequacy of the sample size. The fourth is a description of the study subjects and settings. The fifth is enough coverage of data analysis. The sixth is the validity of the method for identification of the condition. The seventh item is a standard and reliable measurement for all participants. The eighth is the appropriateness of statistical analysis. And the last item is adequacy and management of response rate. Studies considered low-risk when it would fit 5 or above quality assessment checklists.
Data extraction
Three authors extract the data. The following information extracted from the each article. Such as first author, publication year, study design, study population, sample size, prevalence and reasons. The location of the study and the reasons for elective surgical case cancellation were also extracted.
Outcome measurement
This systematic review and meta-analysis have two major outcomes. The first outcome is to determine the prevalence of elective surgical case cancellation in Ethiopia. It calculated as dividing the number of elective surgical patients but whom surgical cases canceled to the total number of patients multiply by 100. A total number of patients refer to elective surgical patients in the study period. The second outcome of the study was to identify the reasons for elective surgical case cancellation.
Data analysis
The required data were collected using a Microsoft Excel 2010 workbook form. It used to collect the first author, publication year, study design, study population, sample size, prevalence and reasons. Then, the STATA Version11 software was used to analyze the data. The original articles presented using tables and forest plots. A weighted inverse variance random-effects model[28] used to estimate the pooled prevalence. I2 statistics used to assess the percentage of total variation across studies [29]. I2 ≤ 25% suggested more homogeneity,25% < I2 ≤ 75% suggested moderate heterogeneity, and I2 > 75% suggested high heterogeneity[29]. Egger’s regression test was also used to assess publication bias [30]. Furthermore, analysis were also carried out based on the reasons for elective surgical case cancellation.