Group Classification System Research Articles

Robson Ten Group Classification System for Cesarean Sections Across Europe: a systematic review and meta-analysis

Robson Ten Group Classification System for Cesarean Sections Across Europe: a systematic review and meta-analysis

Analysis of Cesarean Section Rates Using Robson Ten Group Classification System in A Tertiary Care Hospital of Peshawar: A Cross-Sectional Study

Objective: To observe CS rates and assess them using Robson's Ten Groups Categorization System in a government tertiary medical facility in Peshawar, Pakistan Study Design and Setting: From 1st March to 31st August 2023, a cross-sectional study was carried out at the Khyber Teaching Hospital’s department of obstetrics and gynecology in Peshawar, Pakistan Methodology:. The research cohort consisted of 1250 women with CS who were hospitalized throughout the specified study period. Information on maternal features and pregnancy-related details was collected for every patient. Results: 4227 women sought labor and delivery services during the course of the research. It was discovered that the CS rate was 29.5%. Most common were Groups 1 (7.57%), 3 (8.65%), and 5 (54.66%), which together accounted for around 69% of all CS occurrences. Group 5's CS rate was 80.7%, but subgroup 5.1's (previous CS) women experienced repeat CS at a rate of 65.14%. 95% babies were alive and 5% were stillborns. Conclusion: Noticeable raise in the caesarean deliveries rate, leading to substantial worse influence in terms of health, finances, and society. Previous CS is the most prevalent sign of CS.CS if performed on primigravidae with a valid indication, the rate of CS may be managed.

Profiling births via Caesarean delivery in Northern Ireland (2011-2019) using the Robson classification: a population-based cohort study using administrative maternity system data.

Objective and ApproachCaesarean delivery (CD) rates are increasing globally. Over one-third of babies born in Northern Ireland (NI) during 2021-22 were via CD. Reducing the CD rate was cited as an important public health priority in the Strategy for Maternity Care in Northern Ireland (2012-2018). In 2015, WHO advocated that the Robson Ten Group Classification System (TGCS) be used to audit, analyse, and compare CD rates across countries. TGCS is currently not implemented in NI. ResultsAnalysis of NI’s administrative maternity system (NIMATS) is on-going (accessed via Honest Broker Service Project P045) to address this study’s objectives, which will be completed for presentation: (1) describe the characteristics (maternal, obstetric practice, and fetal/infant features) of all deliveries during 2011-2019; (2) group all births over this period into TGCS categories and calculate the relative size of each group and the absolute contribution of each group to the overall CD rate; (3) compare the NI population distribution of TGCS group-specific CD rates against WHO-recommended benchmarks; (4) test for temporal trends in CD rates here over time; and (5) estimate the ability of a range of maternal, infant, and obstetric factors in predicting the overall CD rate and by TGCS group in NI over time. ConclusionsApplication of the Robson TGCS to NIMATS data has potential to address a critical knowledge gap relating to the use of CD in NI. ImplicationsAvenues to extend this work to investigate longer-term outcomes (via possible linkage to the NI Child Health System) will be considered.

Towards Regional Population Health Management: A Prospective Analysis Using the Adjusted Clinical Groups Classification.

This research seeks to assess the potential of regionally integrated health management for specific sub-populations, including the incorporation of self-management initiatives. It will achieve this by conducting a thorough stratification analysis of hospital data, utilizing the Adjusted Clinical Groups (ACG) classification system. The approach involves a retrospective review of healthcare data spanning five years, which includes patient demographics, health outcomes, and healthcare utilization metrics. We intend to use the ACG method to classify the patient population into pertinent groups that mirror their health requirements and resource use. The insights obtained from this analysis will be used to create a localized adaptation of the Kaiser Permanente Pyramid Model of Care. This adaptation aims to identify the distribution of costs among patients treated in the Rivierenland Hospital. We anticipate that stratifying data with the ACG method will identify distinct multimorbid subgroups. These subgroups will have unique healthcare requirements. Early interventions and customized health management strategies, based on these insights, could enhance health outcomes and resource efficiency for high-risk patients. This analysis will serve as a foundation for constructive discussions with hospital management and clinical staff, fostering a deeper comprehension of the patients' burden of disease. It might also foster multidisciplinary collaboration opportunities between medical specialties as with regional healthcare partners such as general practitioners (GPs), mental health and other long-term care organizations. Moreover, we anticipate that self-care initiatives, supported by customized health information, will encourage increased patient engagement and strategies for enhancing lifestyle improvements. This strategy is expected to enable the personalization of advanced care planning based on individual needs profiles, thereby improving the management of complex and chronic conditions, and encouraging self-care practices. Our anticipated findings highlight the potential benefits of a data-informed approach to advancing healthcare outcomes and present opportunities for future investigations to refine and implement such integrated care models across the region.

Caesarean section rates in a tertiary teaching hospital in northern Uganda: a retrospective analysis using the robson ten group classification system

BackgroundThe Robson Ten Groups Classification System (RTGCS) is increasingly used to assess, monitor, and compare caesarean section (CS) rates within and between healthcare facilities. We evaluated the major contributing groups to the CS rate at Gulu Regional Referral Hospital (GRRH) in Northern Uganda using the RTGCS.MethodsWe conducted a retrospective analysis of all deliveries from June 2019 through July 2020 at GRRH, Gulu city, Uganda. We reviewed files of mothers and collected data on sociodemographic and obstetric variables. The outcome variables were Robson Ten Groups (1–10) based on parity, gestational age, foetal presentation, number of foetuses, the onset of labour, parity and lie, and history of CS.ResultsWe reviewed medical records of 3,183 deliveries, with a mean age of 24.6 ± 5.7 years. The overall CS rate was 13.4% (n = 427). Most participants were in RTGCS groups 3 (43.3%, n = 185) and 1 (29.2%, n = 88). The most common indication for CS was prolonged labour (41.0%, n = 175), followed by foetal distress (19.9%, n = 85) and contracted pelvis (13.6%, n = 58).ConclusionOur study showed that GRRH patients had a low-risk obstetric population dominated by mothers in groups 3 and 1, which could explain the low overall CS rate of 13.4%. However, the rates of CS among low-risk populations are alarmingly high, and this is likely to cause an increase in CS rates in the future. We recommend group-specific interventions through CS auditing to lower group-specific CS rates.

Predicting outcomes in malignant ovarian germ cell tumors using the modified International Germ Cell Cancer Collaborative Group classification system

ObjectivesThe aim of our study was to evaluate the feasibility of the modified International Germ Cell Cancer Collaborative Group risk classification system in Chinese female patients with malignant ovarian germ...

Robson Criteria to Determine the Risk of Cesarean Section in Females Presenting to Sir Ganga Ram Hospital (SGRH), Lahore

Rates of caesareans have increased, resulted in unfavourable outcomes in subsequent pregnancies. Robson categorization enhances standard of care by optimising the use of C-sections and evaluating methods to lower caesarean rates. Objective: To determine the frequency of caesarean section and to determine frequency of Robson 10 group classification system in patients who undergo caesarean. Methods: In this cross-sectional study, 140 pregnant selected via simple random sampling, were enlisted from Gyne department of SGRH, Lahore. According to Robson 10-group categorization those who underwent C-section were divided into ten groups and indication of C-section was studied. Data scrutiny was done using SPSS version 26.0. Mean and SD was used for quantitative variables and frequency for qualitative data. Data were stratified for effect modifiers, p-≤0.05 was taken as significant. Results: Mean age of patients calculated was 31.94 ± 2.14 years. Out of 140, 23.6% had C-section and 76.4% had vaginal delivery. According to class of modified Robson criteria, 12.1% had class 1, 12.1% had class, 2, 21.2% had class 3, 36.4% had class 5, and 3.0% each had class 4, 6, 7, 8, 9, and 10. Conclusions: According to our findings, considerable percentage of C-sections occur with previous C-sections serving as most common indicator. This pattern emphasizes how crucial it is to concentrate on primary preventive techniques in order to lower its rate. Large number of C-sections performed on nulliparous both those in spontaneous labour and those who were not indicates that labour management procedures and decision-making processes need to be closely examined.

Examining Cesarean Among Individuals of Advanced Maternal Age in Nurse-Midwifery Care.

Cesarean rates are rising, especially for individuals of advanced maternal age (AMA), defined as aged 35 or older. The Robson 10-Group Classification System (TGCS) facilitates assessment and comparison of cesarean rates among individuals in different settings. In midwifery-led care, in which pregnant people are typically healthier and seek a vaginal birth, it is unknown whether individuals of AMA have different antecedents leading to cesarean compared with younger counterparts. This study aimed to examine antecedents contributing to cesarean using Robson TGCS for individuals across age groups in midwifery care. This study was a secondary analysis of 2 cohort data sets from Oregon Health & Science University (OHSU) and University of Michigan Health Systems (UMHS) hospitals. The samples were individuals in midwifery-led care birthing at either OHSU from 2012 to 2019 or UMHS from 2007 to 2019. A total of 11,951 individuals were studied. Overall cesarean rates were low; however, the rate for individuals of AMA was higher than the rate of their younger counterparts (18.30% vs 15.10%). The Robson groups were similar; however, the primary contributor among AMA individuals was group 5 (multiparous with previous cesarean), followed by group 2 [nulliparous with labor induced or prelabor cesarean], and group 1 [nulliparous with spontaneous labor]. In contrast, the primary contributors for younger individuals were groups 1, 2, and 5, respectively. In addition, prelabor cesarean and induced labor partly mediated the relationship between AMA and cesarean among nulliparous individuals, whereas prelabor cesarean was the key contributor to cesarean among multiparous people. The cesarean rate in midwifery-led care was low. Using Robson TGCS provided additional insight into the antecedents to cesarean, rather than viewing cesarean as a single outcome. Future studies should continue to use Robson TGCS and investigate antecedents to cesarean, including factors influencing successful vaginal birth after cesarean in individuals of AMA.

Programmed intermittent epidural bolus regimen vs continuous epidural infusion: a retrospective study of motor block and obstetric outcomes using the Robson’s Ten Group Classification System

BackgroundUse of a programmed intermittent epidural bolus (PIEB) regimen during labour is associated with several benefits over a continuous epidural infusion (CEI), including reduced local anaesthetic consumption and reduced risk of motor block. We hypothesise that the benefits of a PIEB regimen may vary according to the Robson Ten Group Classification System (TGCS). The aim of this study was to determine if introduction of a PIEB regimen was associated with reduced incidence of motor block. We also wished to examine changes in obstetric outcomes following PIEB introduction across the Robson TGCS. MethodsThis was a single-centre retrospective cohort study. Data were collected over two three-month periods before and after PIEB introduction. The primary outcome was the incidence of motor block. Maternal and obstetric outcomes across Robson Groups 1–4 were analysed. ResultsIntroduction of PIEB was associated with reduced incidence of motor block (28.4% (95% CI 25.7% to 31.3%) vs 22.4%, (95% CI 19.9% to 25.2%), difference 5.9% (95% CI 1.0% to 21.1%), P=0.003), with no association with changes in rates of caesarean section, operative vaginal delivery or other obstetric outcomes. Use of a PIEB regimen was associated with reduced incidence of motor block in Robson Group 4a (20.3% (16.0%, 28.0%) vs 12.0%, (7.6%, 16.4%), difference 9.9% (95% CI −17.4% to −2.4%) P=0.009). There were no significant changes in other outcomes assessed across Robson TGCS. ConclusionIntroduction of PIEB for maintenance of labour analgesia was associated with reduced incidence of motor block in our institution compared with CEI. Presenting results according to Robson’s TGCS in future studies may allow better elucidation of the impact of neuraxial analgesia on maternal and obstetric outcomes.

Trend analysis of caesarean sections using modified Robson’s classification in a teaching institution in Uttarakhand

ABSTRACT Background: Globally, the rising caesarean section (CS) rate is of great concern as it is associated with increased maternal morbidity and mortality in subsequent pregnancies. It is essential to reanalyze the CS trend and curb the rising menace using a standardized uniform auditing system. This study aimed to analyze and evaluate the trend of CS using Modified Robson’s Ten Group classification system (RTGCS) in a teaching institution in Uttarakhand. Methodology: This cross-sectional study from October 2022 to March 2023 included 260 women undergoing elective or emergency CS. Data on maternal demographics, obstetrics, labour, and fetal outcomes were recorded. Indications for CS were analyzed using modified RTGCS. Results: The overall CS rate for the study period at our hospital was 31.4%. The major contributors to CS were Group 2 (21.5%), Group 10 (21.5%), and Group 5 (20.7%), while Group 6 and Group 8 contributed 10% and 7.6%, respectively. Group 9 had the least share (1%) in the study population. The two main indications for which CS was performed were prior Lower Section Caesarean Section (LSCS) and fetal distress, contributing to 24.6% and 19.2%, respectively. CS for breech presentation was done in 16% of the total cases. Conclusion: Modified RTGCS is an easy and effective method for auditing CS, preventing unnecessary procedures, and improving maternal care. Its implementation is crucial in addressing the increasing prevalence of CS and ensuring better maternal and fetal outcomes.

Analysis of Increasing Cesarean Section Rate by Robson\'s 10-group Classification System in a Tertiary Care Public Charitable Hospital in Haryana

Analysis of Increasing Cesarean Section Rate by Robson\'s 10-group Classification System in a Tertiary Care Public Charitable Hospital in Haryana

Obstetric risk profiles and causes of death: Estimating their association with cesarean sections among maternal deaths in Mexico.

Maternal mortality is a critical indicator of healthcare quality, and in Mexico, this has become increasingly concerning due to the stagnation in its decline, alongside a concurrent increase in cesarean section (C-section) rates. This study characterizes maternal deaths in Mexico, focusing on estimating the association between obstetric risk profiles, cause of death, and mode of delivery. Utilizing a retrospective observational design, 4,561 maternal deaths in Mexico from 2010-2014 were analyzed. Data were sourced from the Deliberate Search and Reclassification of Maternal Deaths database, alongside other national databases. An algorithm was developed to extract the Robson Ten Group Classification System from clinical summaries text, facilitating a nuanced analysis of C-section rates. Information on the reasons for the performance of a C-section was also obtained. Logistic regression and multinomial logistic regression models were used to estimate the relation between obstetric risk factors, mode of delivery and causes of maternal death, adjusting for covariates. Among maternal deaths in Mexico from 2010-2014, 47.1% underwent a C-section, with a significant history of previous C-sections observed in 31.4% of these cases, compared to 17.4% for vaginal deliveries (p<0.001). Early prenatal care in the first trimester was more common in C-section cases (46.8%) than in vaginal deliveries (38.3%, p<0.001). A stark contrast was noted in the place of death, with 82.4% of post-C-section deaths occurring in public institutions versus 69.1% following vaginal births. According to Robson's classification, the highest C-section rates were in Group 4 (67.2%, p<0.001) and Group 8 (66.9%, p<0.001). Logistic regression analysis revealed no significant difference in the odds of receiving a C-section in private versus other settings after adjusting for Robson criteria (OR: 1.21; 95% CI: 0.92, 1.60). A prior C-section significantly increased the likelihood of another (OR: 2.38; CI 95%: 2.01, 2.81). The analysis also indicated C-sections were significantly tied to deaths from hypertensive disorders (RRR = 1.25, 95% CI [1.12, 1.40]). In terms of indications, 6.3% of C-sections were performed under inadequate indications, while the indication was not identifiable in 33.1% of all C-sections. This study highlights a significant overuse of C-sections among maternal deaths in Mexico (2010-2014), revealed through the Robson classification and ana analysis of the reported indications for the procedure. It underscores the need for revising clinical decision-making to promote evidence-based guidelines and favor vaginal deliveries when possible. High C-section rates, especially noted disparities between private and public sectors, suggest economic and non-clinical factors may be at play. The importance of accurate data systems and further research with control groups to understand C-section practices' impact on maternal health is emphasized.

Analysis of caesarean delivery rates using Robson ten group classification system in North West Amhara referral hospitals, Ethiopia, 2022: A cross-sectional study

IntroductionThe cesarean delivery rate has been consistently rising over time and differs among different hospitals. In order to understand the specific factors contributing to this rapid increase beyond the recommended levels, it is necessary to continuously monitor and evaluate cesarean deliveries using the Robson ten-group classification system. Consequently, the objective of this study was to evaluate the rate of cesarean deliveries within each group by employing the Robson ten-group classification system. MethodA cross-sectional study design was conducted in referral hospitals in the North West Amhara region, involving 721 mothers who gave birth between January and February 2022. Participants were selected using systematic random sampling. Data collection involved an interviewer-administered, pretested, semi-structured questionnaire, as well as a review of medical charts. The women were allocated into one of the ten Robson groups. The proportion of each group, the contribution of each group to the total caesarean delivery rate, and the caesarean delivery rate within each group were all calculated. ResultThe overall caesarean delivery rate was 277 (38.3 %). The primary factors contributing to the overall cesarean delivery rate were found to be group 1 (23.9 %), group 5 (21 %), group 3 (11.6 %), and group 10 (11%). The most common indication for caesarean delivery included an abnormal fetal heart rate pattern, the presence of meconium in the amniotic fluid, a history of previous cesarean delivery, fetal-pelvic disproportion, and breech presentation. ConclusionGroup 1, 5, 3, and 10 emerged as the major contributor to the overall cesarean delivery rate. Interestingly, this study also unveiled a significant prevalence of cesarean delivery among low-risk groups. These specific groups warrant further investigation to identify potential factors that can be modified and implement targeted interventions to decrease the cesarean delivery rate. It is crucial to evaluate existing management protocols in the study area.

Exploring the Impact of Hepatic Impairment on Pralsetinib Pharmacokinetics.

Pralsetinib is a kinase inhibitor indicated for the treatment of metastatic rearranged during transfection (RET) fusion-positive non-small cell lung cancer. Pralsetinib is primarily eliminated by the liver and hence hepatic impairment (HI) is likely alter its pharmacokinetics (PK). Mild HI has been shown to have minimal impact on the PK of pralsetinib. This hepatic impairment study aimed to determine the pralsetinib PK, safety and tolerability in subjects with moderate and severe HI, as defined by the Child-Pugh and National Cancer Institute Organ Dysfunction Working Group (NCI-ODWG) classification systems, in comparison to subjects with normal hepatic function. Based on the Child-Pugh classification, subjects with moderate and severe HI had similar systemic exposure (area under the plasma concentration time curve from time 0 to infinity [AUC0-∞]) to pralsetinib, with AUC0-∞ geometric mean ratios (GMR) of 1.12 and 0.858, respectively, compared to subjects with normal hepatic function. Results based on the NCI-ODWG classification criteria were comparable; the AUC0-∞ GMR were 1.22 and 0.858, respectively, for subjects with moderate and severe HI per NCI-ODWG versus those with normal hepatic function. These results suggested that moderate and severe hepatic impairment did not have a meaningful impact on the exposure to pralsetinib, thus not warranting a dose adjustment in this population.

Distribution of Deliveries According to Robson Classification: Experiences in Tertiary Care

Objective: In this study, we aimed to evaluate the cesarean deliveries performed in the obstetrics clinic of our hospital according to the Robson classification and to determine the Robson group affecting the cesarean section rates. Methods: The aim of the study was to retrospectively analyse caesarean deliveries in patients who applied to Ankara Ataturk Sanatorium Training and Research Hospital and whose deliveries were performed by using the Robson Ten Group Classification System. Our study group included pregnant women who were admitted to the delivery room of our hospital, who gave birth in our hospital and who did not have any obstetric risk factors. Demographic data of the patients were obtained from hospital records. Results: According to the inclusion criteria, the data of 550 of these patients were evaluated. Accordingly, 249 of the deliveries were by caesarean section. The rate of caesarean section among all deliveries was 45.3%. 6.80% of the pregnant women who delivered by caesarean section were in the first group according to Robson classification (nulliparous, head presentation, ≥37 weeks, singleton, spontaneous onset of trauma) and 12.0% were in the second group according to Robson classification (nulliparous, head presentation, ≥37 weeks, induced or induced caesarean section before the onset of trauma, singleton). Conclusion: The cesarean section rate in Turkey was 54.4% and the primary cesarean section rate was 26.5%. The risk of maternal morbidity and mortality and perinatal morbidity increases after an off-label caesarean section, leading to negative consequences in terms of maternal, neonatal and economic health.

Analysis of Cesarean Section Ratios by Robson Classification.

Cesarean section (CS) is a delivery method, which is used to avoid the complications of vaginal delivery, maternal and neonatal morbidity, and mortality. It has become the most applied surgical procedure both in Türkiye, and globally. In 2013, Robson et al. created the "Robson 10-Group Classification System" (TGCS) in Ireland to evaluate and standardize CS indications more easily. The data for this retrospective study were collected from the records of women, who gave birth between January 1, 2019 and July 31, 2022 at Muğla University Education and Research Hospital. These data were classified according to the TGCS. There were 4889 deliveries in our clinic between the specified dates. 3177 (64.98%) of these births were CS. When the CS ratio was evaluated as a percentage, the groups with the highest ratio were, respectively, Robson groups 9, 5, 7, and 8 (100%, 99.34%, 97.56%, and 96.92%). When the CS ratio was evaluated as a percentage, the group with the lowest ratio was Robson group 3 (21.5%). When numerically evaluated in terms of the effect on the CS number, the ranking was Robson groups 5, 1, and 2, respectively (1,053, 893, and 568). The CS ratio of our clinic is above the mean for that of Türkiye, and the highest acceptable CS ratio according to the WHO. Since our clinic is the only university hospital in the city, all complicated pregnancies are referred to our clinic, with births also taking place there. In addition, behavior change would be appropriate both with respect to active birth management and the action required to reduce the CS ratio.

Texture analysis of 18F-FDG PET/CT and CECT: Prediction of refractoriness of Hodgkin lymphoma with mediastinal bulk involvement.

To recognize patients at high risk of refractory disease, the identification of novel prognostic parameters improving stratification of newly diagnosed Hodgkin Lymphoma (HL) is still needed. This study investigates the potential value of metabolic and texture features, extracted from baseline 18F-FDG Positron Emission Tomography/Computed Tomography (PET) and Contrast-Enhanced Computed Tomography scan (CECT), together with clinical data, in predicting first-line therapy refractoriness (R) of classical HL (cHL) with mediastinal bulk involvement. We reviewed 69 cHL patients who underwent staging PET and CECT. Lesion segmentation and texture parameter extraction were performed using the freeware software LIFEx 6.3. The prognostic significance of clinical and imaging features was evaluated in relation to the development of refractory disease. Receiver operating characteristic curve, Cox proportional hazard regression and Kaplan-Meier analyses were performed to examine the potential independent predictors and to evaluate their prognostic value. Among clinical characteristics, only stage according to the German Hodgkin Group (GHSG) classification system significantly differed between R and not-R. Among CECT variables, only parameters derived from second order matrices (gray-level co-occurrence matrix (GLCM) and gray-level run length matrix (GLRLM) demonstrated significant prognostic power. Among PET variables, SUVmean, several variables derived from first (histograms, shape), and second order analyses (GLCM, GLRLM, NGLDM) exhibited significant predictive power. Such variables obtained accuracies greater than 70% at receiver operating characteristic analysis and their PFS curves resulted statistically significant in predicting refractoriness. At multivariate analysis, only HISTO_EntropyPET extracted from PET (HISTO_EntropyPET ) and GHSG stage resulted as significant independent predictors. Their combination identified 4 patient groups with significantly different PFS curves, with worst prognosis in patients with higher HISTO_EntropyPET values, regardless of the stage. Imaging radiomics may provide a reference for prognostic evaluation of patients with mediastinal bulky cHL. The best prognostic value in the prediction of R versus not-R disease was reached by combining HISTO_EntropyPET with GHSG stage.

Analysis of Cesarean Section Causes Using Robson’s Ten Group Classification System in Selected Hospitals Affiliated to Shiraz University of Medical Sciences: A Cross-sectional Study

Background: Robson’s Ten Group Classification System (RTGCS) is widely used to evaluate, monitor, and compare cesarean delivery (CD) rates within and between delivery service centers. This study aimed to investigate the causes of CD in Shiraz teaching hospitals using RTGCS. Materials and Methods: A cross-sectional study on 1787 pregnant women who underwent CD in selected teaching hospitals in Shiraz, Iran, was selected via convenience sampling within 3 months. The data collection tool was a demographic, midwifery, and fertility information questionnaire completed through interviews and medical records. Subjects’ classification was performed based on midwifery concepts and parameters described in RTGCS. The Robson's 10-group classification is based on simple obstetrical parameters (parity, previous CS, gestational age, onset of labour, fetal presentation, and number of fetuses). Data were analyzed using SPSS software and descriptive tests were used to describe the data. Results: Of the 1787 subjects, 455 (25.5%) had planned CS and 1332 (74.5%) had emergency CS. The most common causes of CD were previous CD (58.6%) and fetal distress (27.6%). Overall, 823 (46.1%) had fetal and placental causes, 1268 (71%) had uterine causes, and 78 (4.4%) had maternal causes. Conclusion: The biggest factors that played a role in the CD rate in the present study were termed multipara women with a history of previous CD. The CD rate and the overall size of this group are still increasing, and as a result, women with a history of a previous CD must be motivated more effectively to have a vaginal birth after cesarean delivery (VBAC).

Cesarean Section Rate in Tertiary Care Hospital of South Punjab using Robson Ten Group Classification System

Cesarean Section Rate in Tertiary Care Hospital of South Punjab using Robson Ten Group Classification System

Requesting That Delirium Achieve Parity With Acute Encephalopathy in the MS-DRG System

Since 2007, the Medicare Severity Diagnosis Related Groups (MS-DRG) classification system has favored billing codes for acute encephalopathy over delirium codes in determining hospital reimbursement and several quality-of-care value metrics, despite broad overlap between these sets of diagnostic codes. Toxic and metabolic encephalopathy codes are designated as major complication or comorbidity (MCC) whereas causally specified delirium codes are designated as complication or comorbidity (CC) and thus associated with lower reimbursement and lesser impact on value metrics.