Senyefia Bosson-Amedenu, Abdulzeid Anafo, Ahmed Ouerfelli, Nabil Ouerfelli, Noureddine Ouerfelli
{"title":"Examining Cesarean Section Rates in Ghana's 10 Regions Over a Decade a Comprehensive National Investigation.","authors":"Senyefia Bosson-Amedenu, Abdulzeid Anafo, Ahmed Ouerfelli, Nabil Ouerfelli, Noureddine Ouerfelli","doi":"10.1155/2024/3774435","DOIUrl":null,"url":null,"abstract":"<p><p>This study examines cesarean section (C-section) deliveries in Ghana from 2008 to 2017 in 10 regions, distinguishing between scheduled and emergency procedures. Scheduled C-sections target specific maternal conditions, such as advanced age, multiparity, and medical history, while emergency C-sections address acute fetal distress, preeclampsia, bleeding, and other urgent situations. The analysis reveals various regional patterns, with the Brong-Ahafo Region showing a potential deceleration after 2017 and the Upper West Region indicating a possible acceleration. The high number of C-sections in Greater Accra and Ashanti may be related to population density and health facilities. The study proposes empirical models, including linear, quadratic, and exponential components, emphasizing quasilinearity. The exponential model suggests transient and permanent phases of cesarean frequency, with the latter dominated by quasilinearity. Optimal parameter values are determined, which highlights the stability of the model. However, caution is advised when projecting too far into the future due to the inevitable slowing of observed trends. The findings offer insights for healthcare planning, resource allocation, and policymaking, emphasizing the need for region-specific approaches and ongoing monitoring of cesarean dynamics to inform nuanced interventions.</p>","PeriodicalId":9007,"journal":{"name":"BioMed Research International","volume":"2024 ","pages":"3774435"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568890/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioMed Research International","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1155/2024/3774435","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines cesarean section (C-section) deliveries in Ghana from 2008 to 2017 in 10 regions, distinguishing between scheduled and emergency procedures. Scheduled C-sections target specific maternal conditions, such as advanced age, multiparity, and medical history, while emergency C-sections address acute fetal distress, preeclampsia, bleeding, and other urgent situations. The analysis reveals various regional patterns, with the Brong-Ahafo Region showing a potential deceleration after 2017 and the Upper West Region indicating a possible acceleration. The high number of C-sections in Greater Accra and Ashanti may be related to population density and health facilities. The study proposes empirical models, including linear, quadratic, and exponential components, emphasizing quasilinearity. The exponential model suggests transient and permanent phases of cesarean frequency, with the latter dominated by quasilinearity. Optimal parameter values are determined, which highlights the stability of the model. However, caution is advised when projecting too far into the future due to the inevitable slowing of observed trends. The findings offer insights for healthcare planning, resource allocation, and policymaking, emphasizing the need for region-specific approaches and ongoing monitoring of cesarean dynamics to inform nuanced interventions.
期刊介绍:
BioMed Research International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies covering a wide range of subjects in life sciences and medicine. The journal is divided into 55 subject areas.