Peer Review History
| Original SubmissionOctober 25, 2023 |
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PONE-D-23-35082Emergency cesarean delivery and its predictors in Ethiopia using further analysis of EDHS 2016 data: A mixed effect modelPLOS ONE Dear Dr. chanie, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== ACADEMIC EDITOR: please address comments given point by point ============================== Please submit your revised manuscript by Feb 22 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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You’ll also earn an Accessible Data icon on your published paper if you deposit your data in any participating repository (https://plos.org/open-science/open-data/#accessible-data). 3. We note that you have stated that you will provide repository information for your data at acceptance. Should your manuscript be accepted for publication, we will hold it until you provide the relevant accession numbers or DOIs necessary to access your data. If you wish to make changes to your Data Availability statement, please describe these changes in your cover letter and we will update your Data Availability statement to reflect the information you provide. Additional Editor Comments: Dear authors, please address the following. 1. put the sampling procedure in flow diagram 2. include limitations 3. look at your findings again and include additional recommendations [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: No Reviewer #3: Yes Reviewer #4: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes Reviewer #4: N/A ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: No Reviewer #3: Yes Reviewer #4: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No Reviewer #3: Yes Reviewer #4: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: General Comment: The content is important to the field and the area is researchable. There is also a significant maternal health services provision, thus improving health of maternity services. Abstract: The abstract reflect aspects of the study clearly: background, objectives, methods, results and conclusions, but in the methods part selecting method of model( what means “the lowest Akaike information criteria” the author should be make it clear explain). And author missed to leave educational status set as “significant predictors of emergency cesarean delivery” because, it wasn’t show association under AOR or multivariable analysis Introduction: The study rationale satisfactorily described but as gaps: limited to describe , gaps and plan or purpose of study details and the author should address that it needs highlight revise Methodology: The study design appropriate and adequate for the plan of study, The sample size seems an appropriate but inadequate justified in case of set this value(11,022 included in analysis),the author should clarify the gaps and also needs highlight revise sampling technique. The author also missed to identify their number and professional of data collators, The author missed to state the exclusion criteria’s that what action takes place in study during study period, Statistical analysis preferred analysis version is best and it is better to state the value of goodness of fit of the model. Result: The findings were presented logically with appropriate displays but, the author missed that the statement of bi-variable multilevel logistic regression at a p-value of <0.25 should be narrated under methods and also two lines sentences under the sub topic “Predictors of emergency cesarean delivery” should be stated under methods sub topic statistical analysis. In the title of tables and figure should be also incorporate study period of Ethiopian demographic health survey (EDHS)2016 data. Discussion: The key findings were stated, almost it seems well constructed and the findings also discussed in the light of previous evidence but it shows the limitation of comparing findings with developing countries like African especially Sub-Saharan countries. Conclusion: The results justify the conclusion is fair. Bibliography/References: The references appropriate and relevant, except a few references such as ref. NO9, 10 and 12 are later that needs replace with recent. Others: Overall the paper presented logically and as a result, an author is advised to make some revisions then the paper will be become the best. Decision: Minor Revision with an attention. Reviewer #2: Q1 1. Is the manuscript technically sound, and do the data support the conclusions? No, The manuscript, while addressing a good topic, appears to lack technical soundness. For instance, a statement in the manuscript mentions, "Specifically, in Ethiopia, the rate of all forms of cesarean delivery is from 8-37% (5, 13). But nothing is known about emergency cesarean delivery," which may not be accurate. This claim contradicts information found in a relevant paper accessible through this link: https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-021-04266-7. Additionally, a comparison with another paper (file:///C:/Users/belac/Downloads/journal.pone.0282951%20) reveals significant differences in the author's contributions to the study. Q3 *3. Have the authors made all data underlying the findings in their manuscript fully available? The author should mention in details restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Q4 4. Is the manuscript presented in an intelligible fashion and written in standard English? strongly advise the author to edit the grammer. Overall, I believe this manuscript may not meet the publication criteria set by PLOS ONE based on the aforementioned concerns I have raised. Reviewer #3: Abstract Methods 1. Was the entire study sample of the EDHS 2016 considered for the study? 2. If not how, this sample (i.e., 110222) was selected? 3. What makes this study Multilevel? 4. “...The best model was selected based on the lowest Akaike information criteria..." So, what is the best model selected explain it? Results 5. Are these micro-level or Macro-level variables? 6. What about the intraclass correlation (ICC) report? Have checked whether or not there are clustering of the cesarean section? Main Body Introduction 7. Line 51-52, "... According to the world health organization (WHO) recommendation, the cesarean delivery should be from 5-15%..." is this information about elective or emergency cesarean section? 8. What is the expected magnitude of Emergency cesarean delivery, according to WHO? 9. Line 65-67, if numerous studies were conducted, why you failed to mention a magnitude of cesarean section in Ethiopia? Methods 10. Line 75-77, better to update the regions of Ethiopia based on the recent classification? 11. Line 78, "... world speedometer..." Is it appropriate term? Worldometer? Is the report of worldometer valid and acceptable? 12. Line 81-83, were elective women for cesarean delivery, who undergone cesarean section two or more times eligible for this study? 13. Line 98, the sampling procedure is not clear? Is to mean multistage random sampling or what? 14. Line 99, it is not clear how a sample size of the study was determined? 15. Line 120, It is better if the best model selected was reported instead. 16. Line 126, before using the multilevel model, It is must to elaborate the clustering variable either in the operational definition or elsewhere? 17. Line 128, it is not clear which variables are considered as "X" or "Z". Result 18. Line 147, before rushing to identification of predictors using multilevel binary logistic regression, testing of the appropriateness of the model required. So, the author must clarify the values of ICC, PCV, and AIC, that reported in the table 1. Additionally, it is not clear what model I, Model II, and Model III are? On the other way, the clustering variable is not clear to apply the model? 19. Line 153, what is the term "... After all..." means? Is it to mean that after doing Crude analysis (bivariate binary logistic regression)? It needs more detail explanations? Discussion 20. Line 169-172, in spite of what you justified, do you think it is fair to compare Japan with Ethiopia? 21. Add more comparison and discuss it as this result is not well discussed? 22. In general your discussion is comparing incomparable population and results? 23. Line 175-176, how do you see comparing all type of cesarean section to emergency cesarean section (your study)? 24. What is the strengthen of this study? Reviewer #4: Overall the manuscript is not bad in short of listed below comments >Topic is not " SMART" and lacks novelty =revise it >Data source is secondary and not current which might affects reliability and accuracy of the result >Try to clarify your research methods and materials and significance of your study ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Girma Worku Obsie Reviewer #2: No Reviewer #3: No Reviewer #4: Yes: Lammii Gonfaa Dinagde ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
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| Revision 1 |
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Prevalence of emergency caesarean delivery and its predictors among women who give birth in Ethiopia using further analysis of EDHS 2016 data: A mixed effect model PONE-D-23-35082R1 Dear Author , We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Temesgen Tilahun Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: |
| Formally Accepted |
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PONE-D-23-35082R1 PLOS ONE Dear Dr. Agimas, I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team. At this stage, our production department will prepare your paper for publication. This includes ensuring the following: * All references, tables, and figures are properly cited * All relevant supporting information is included in the manuscript submission, * There are no issues that prevent the paper from being properly typeset If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps. Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. If we can help with anything else, please email us at customercare@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Temesgen Tilahun Academic Editor PLOS ONE |
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