Elective surgical case cancellation and root causes in Ethiopia: a systematic review and meta-analysis


 Background: Cancellation of elective surgical operation recognized as a major cause of emotional trauma to patients as well as their families. In Ethiopia, prevalence and root causes for elective surgical case cancellation varies from time to time in different settings. This systematic review and meta-analysis aimed to find the pooled prevalence and root causes for elective surgical case cancellation in Ethiopia.Methods: The databases for the search were Web of Science, PubMed, and Google Scholar by the date from 01/07/2020 to 02/08/2020. To assess publication bias Egger's regression analysis was applied. The pooled estimation was estimated using random-effects model meta-analysis. Subgroup analysis was also done based on the root causes of surgical case cancellation.Results: This meta-analysis included a total of 5 studies with 5591 study participants. The pooled prevalence of elective surgical case cancellation was 21.41% (95% CI: 12.75 to 30.06%).Administration-related reason (34.50%) was the most common identified root cause, followed by surgeon (25.29%), medical (13.90%), and patient-related reasons (13.34%).Conclusions: The prevalence of elective surgical case cancellation was considerable. The most common root cause for elective surgical case cancellation was administration-related reasons, followed by the surgeon, medical and patient-related reasons. The causes for the surgical cancellations are potentially preventable. Thus, efforts should be made to prevent unnecessary cancellations through careful planning.


Background
Elective surgical case cancellation refers to a scheduled surgical procedure that not performed on a given day [1]. It has been a long-standing problem for healthcare organizations across the world [2]. Many patients could not receive elective surgery as per the schedule upon the waiting list [3].
Most hospitals invest resources to support operating suites. However, there is a concern of unanticipated can cellation of scheduled surgery [4]. In developing countries, cancellation of elective surgical operation is a common phenomenon [5].
Planned surgery cancellation is a well-recognized re ects of ine ciency in health care and/or service management [6]. It contributes to frustration and mental stress to the patients and their families [7]. It also increases the waiting of patients [8], surges the economic burden due to extended hospital stays [9,10], and increases the risk of in-hospital death [11]. There are many reasons for the cancellation of elective surgical cases but they might differ from hospital to hospital [12]. Unexpected cancellations of planned surgery divided into avoidable and unavoidable cancellations [1]. Scheduling errors, equipment shortages, and inadequate preoperative evaluation are avoidable cancellations. Unavoidable cancellations are emergency encounters and unexpected changes in the patient's medical status [13]. Different literature suggested that by improving the planning most cancellations are avoidable. It has also suggested that patients themselves should receive noti cation early about their operation day and a reminder of their appointment [14]. Involving patients in such ways may increase their satisfaction with treatment decisions during initial consultations, which is a strong predictor of attendance for surgery [15] Based on a study in Hong Kong China, reported surgical case cancellation was 7.6% [16]. Similarly 11% in Kingdom of Saudi Arabia [17], 3.6% in Jordan [18], 1.87% in Iran [19], and 20.8% in Sub-Saharan Africa [20].
In Ethiopia, different primary studies have been conducted to determine the prevalence for elective surgical case cancellation and root causes. The proportion of elective surgical case cancellation was found in the range between 8.9% to 33.9% [24,25]

Reporting
We reported the results of this meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline [26] (Additional le 1 research checklist).

Literature search
We searched Web of Science, PubMed, and Google Scholar databases. The terms for the search were prede ned for a comprehensive search strategy. These included all elds 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 speci c searching detail in PubMed with MeSH terms was ("magnitude of surgical case cancellation"

Study selection
We exported retrieved studies to Endnote version 7 (Thomson Reuters, London) reference manager to remove duplicated studies.
The retrieved articles were screened according to pre-de ned inclusion and exclusion criteria. Discussion and/or involvement of the third reviewer resolved disagreements between two reviewers.

Inclusion criteria
Included studies were 1) articles that reported about the prevalence of elective surgical case cancellation and/or reasons for elective surgical case cancellation.2) studies published in English, and 3) studies conducted in Ethiopia before 02/08/2020. We did not limit the publication year of studies during the search.

Exclusion criteria
Articles available without full-text, qualitative studies, any reviews, commentaries, consultants' corners, letters, and conference abstracts were excluded.

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 rst 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 fth is enough coverage of data analysis. The sixth is the validity of the method for identi cation 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 t 5 or above quality assessment checklists.

Data extraction
Three authors extract the data. Data extracted from each article were rst author, the geographical location of the study, publication year, study design, study population, sample size, the prevalence of and root causes for cancellation of elective surgery.

Outcome measurement
This systematic review and meta-analysis have two outcomes. Firstly, to determine the prevalence of elective surgical case cancellation in Ethiopia 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. Secondly, to identify the root causes for elective surgical case cancellation.

Data analysis
The required data were collected using a Microsoft Excel 2010 workbook form. Then, the STATA Version11 software was used to analyze the data. we used a weighted inverse variance random-effects model [28] to estimate the pooled prevalence. The I 2 statistics was employed to assess the percentage of total variation across studies [29]. I 2 ≤ 25% suggested more homogeneity,25% < I 2 ≤ 75% suggested moderate heterogeneity, and I 2 > 75% suggested high heterogeneity [29]. Egger's regression test was also applied to assess publication bias [30]. Furthermore, we carried out the subgroup analysis based on the root causes for elective surgical case cancellation.

Literature search result
A comprehensive literature search of the database yielded a total of 81 publications. Among these, 76 disregarded due to abstracts and titles that were un t to the outcome of interest. A total of ve eligible studies [24,25,[31][32][33] with 5591 study participants were accessed for analysis of prevalence. Of these, three studies [24,25,33] with 3379 subjects were identi ed for analysis of root causes because the remaining two did not report about the root causes of elective surgery cancellation (Figure 1).

Characteristics of included studies
The range of publication year for included studies was from 2015 to 2020. We found three studies in Addis Ababa [24,25,31], one in Oromia [32], one in Southern Nation, Nationalities, and People Region (SNNPR) [33]. All included studies were done by using the cross-sectional study design (Table1).

Quality assessment result
We assessed of studies with JBI quality appraisal checklists. Based on this, none of the included studies was poor quality status.

Meta-analysis
The absence of publication bias was assessed with Egger's regression test (p = 0.062), which showed that no publication bias.

Discussion
There is no acceptable case cancellation rate for e cient operating theatres. But reports under 5% are generally recommended [34]. According to this meta-analysis, the estimation of elective surgical case cancellation was 21.41% (12.75, 30.06) in Ethiopia. This is comparable with the study conducted in Sub-Saharan Africa [20] and Sudan [22]. Reasons for elective surgical case cancellation are almost similar in developing countries [20]. Besides, management strategies or surgical settings might be similar in developing countries. However, the current study's nding is lower than a study conducted in Nigeria [23], Uganda [35] and Malawi [21]. This discrepancy might be due to ndings of elective surgery cancellation vary widely because of study design; type of hospital, country, capacity, and patient type (inpatients vs. outpatients). Evidence shows that surgical case cancellation rates vary because of a lack of a standard de nition, different patient populations and study methodology [36]. The current nding is higher than the study from Hong Kong China [16], the Kingdom of Saudi Arabia [17], and Jordan [18]. This difference might be due to poor hospital administration strategies. Evidence shows that lack of materials, surgeons delay, the patient not fully prepared, unperformed preliminary examinations, lack of beds in intensive care, inadequate administrative planning are indicators of poor hospital administration strategies [37]. This could cause the cancellation of elective surgical [10]. But not effective utilization of available resource hours, such as trained staff, appropriate facilities, equipment, good communication, and operational layout [38].
Based on the estimation of the root causes for elective surgical case cancellation, the most common identi ed cause was administration-related reason. The same report from the Kingdom of Saudi Arabia [17], Jordan [18], Uganda [35], and Malawi [21] showed that administration-related reasons found the most common causes of elective surgical case cancellation. This might be due to the reality is that surgical case cancellation can result in the nancially under-utilization of theatres [2]. So, during the surgical procedure, it could cause a shortage of surgical materials in the hospital setting that makes challenge to run the activities. This nding helps healthcare policy and/or decision-makers to consider elective surgical case cancellation prevention strategies.
Due to the lack of studies in some locations of Ethiopia, the result may not represent a national gure.
Although I 2 is not an absolute measure of heterogeneity, high heterogeneity was observed.

Conclusions
In this nding, the prevalence of elective surgical case cancellation was considerable. The most common root causes for elective surgical case cancellation was administration-related reasons followed by surgeon-related, medical-related, and patient-related reasons. The causes for the cancellations are potentially preventable. Thus, efforts should be made to prevent unnecessary cancellations through careful planning. It means quality improvement strategies are necessary for surgical specialties that are susceptible to procedure cancellations caused by administrative reasons.
Abbreviations CI: Con dence Interval; SNNPR: Southern Nations and Nationalities of People Region Declarations Ethical approval and consent: No need approval from the ethical committee. Because of no primary data was collected.

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Availability of data and materials: No need for more data. All information stated in the manuscript and, its supplementary information les.
Competing interests: The author declares that, no competing interests Funding: There is no fund received from any fund agency.