<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT03794063</url>
  </required_header>
  <id_info>
    <org_study_id>ERC-RCOG</org_study_id>
    <nct_id>NCT03794063</nct_id>
  </id_info>
  <brief_title>Analysis of Caesarean Section Rate According to the Robson Classification System</brief_title>
  <official_title>Analysis of Caesarean Section Rate According to the 10 Group Robson Classification; A Multicenter Prospective Study in Egypt</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Egyptian Society of Royal College of Obstetricians and Gynaecologists</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>Egyptian Society of Royal College of Obstetricians and Gynaecologists</source>
  <oversight_info>
    <has_dmc>Yes</has_dmc>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      A prospective cross- sectional study will be conducted to implement the Robson Classification&#xD;
      to assess, analyze and compare Caesarean section rate of the participating hospital over the&#xD;
      period of three months. The Robson implementation manual will be used as a tool guide for the&#xD;
      study.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      Increase rate of unnecessary caesarean sections has been a growing concern in most parts of&#xD;
      the world. According to the latest survey one in five women in the world now deliver by&#xD;
      caesarean section (CS). The Eastern Mediterranean Region (EMR) with its twenty -two Member&#xD;
      States (MSs) as classified by the World Health Organization is of no exception in this&#xD;
      respect. Within the EMR, Egypt has the highest CS rate of 54%, with no further improvement to&#xD;
      maternal and child mortality rates in Egypt, the association of extremely high CS rate and&#xD;
      its potential benefits has been questioned. This may suggest that although the necessary&#xD;
      numbers of CSs are performed for the population at risk but the rates higher than the&#xD;
      recommended threshold (10-15% according to the WHO) could be the measure of unjustified CSs&#xD;
      in healthy populations . However, determining the adequate caesarean section rate at the&#xD;
      population level - i.e. the minimum rate for medically indicated caesarean section, while&#xD;
      avoiding medically unnecessary operations - is a challenging task. Variations in overall CS&#xD;
      rate between different settings or over time are difficult to interpret and compare because&#xD;
      of intrinsic differences in hospital factors and infrastructure (primary versus tertiary&#xD;
      level), difference in the characteristics of the obstetric population (case mix) served (eg %&#xD;
      of women delivered by previous CS) and difference in clinical management protocols. This is&#xD;
      seen as one of the barriers in better understanding of CS trends and underlying causes. In&#xD;
      order to propose and implement effective measures to achieve optimal CS rates, it is first&#xD;
      essential to identify what groups of women are contributing the most towards overall CS rate&#xD;
      and investigate the underlying reasons for trends in different settings. Like many developing&#xD;
      countries, health care facilities in Egypt have no such standardized internationally accepted&#xD;
      classification system in place to monitor and compare facility based CS rates in a consistent&#xD;
      and action oriented manner.&#xD;
&#xD;
      Policy makers and health organisations have suggested the need for such classification system&#xD;
      that can best monitor and compare CS rates in a standardised, reliable, consistent and&#xD;
      action-oriented manner. WHO proposed the Robson classification system as a global standard&#xD;
      for assessing, monitoring and comparing caesarean section rates within healthcare facilities&#xD;
      over time, and between facilities. It classifies women in 10 groups based on their obstetric&#xD;
      characteristics (parity, previous CS, gestational age, onset of labour, fetal presentation&#xD;
      and number of fetuses) without needing the indication for CS. It gives an opportunity to&#xD;
      evaluate the prevalence of CSs among various groups of women, to compare data between&#xD;
      institutions, learn from each other and to create strategies for better results through audit&#xD;
      and feed back cycle. This classification is clinically relevant and categorizes women&#xD;
      prospectively which in turns allows the implementation and evaluation of interventions&#xD;
      targeted to specific groups. Some studies have shown that if this classification is used on a&#xD;
      regular basis, it can provide critical assessment to change the practice.&#xD;
&#xD;
      Aim: The study aim is, to assess, analyse and compare CSR of the participating hospital over&#xD;
      the period of three months according to the 10 Group Robson classification system&#xD;
&#xD;
      Participating hospitals&#xD;
&#xD;
      1: Ain Shams University Hospital 4: Mataria Teaching Hospital 4: Shatby Alexandria Hospital&#xD;
      5: Benha University Hospital 6: Ahmed Maher Hospital 7: El-Galaa Hospital 8: Alexandria&#xD;
      Hospital 9: Behira Hospital 10:Menia Hospital 11: Luxor Hospital 12: Nada Hospital 13:&#xD;
      Rofayda Hospital&#xD;
&#xD;
      Study design: A prospective cross- sectional study will be conducted to implement the Robson&#xD;
      Classification within the obstetric department of participating hospitals. The Robson&#xD;
      implementation manual will be used as a tool guide for the study.&#xD;
&#xD;
      The study population will include all women with live births and stillbirths of at least 28&#xD;
      weeks gestation at from. Two-study investigator from each participating hospital will be&#xD;
      assigned who will provide the ongoing support during the study period. Participants will be&#xD;
      invited to attend the introductory workshop for the implementation of the Robson&#xD;
      Classification by the study coordinators. Variables necessary to categorise women in to&#xD;
      Robson groups will be collected through the predesigned proforma. These variables will be&#xD;
      used to classify each woman in to Robson groups with the help of a flow diagram. The&#xD;
      collected information will be analyzed on the Excel Sheet to finalize the grouping either&#xD;
      manually or by an automatic calculator.The results of each group will be statistically&#xD;
      analyzed after entering the data in the report and will be sent on a monthly basis by e-mail&#xD;
      or fax to study coordinators.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Unknown status</overall_status>
  <last_known_status>Recruiting</last_known_status>
  <start_date type="Actual">March 10, 2019</start_date>
  <completion_date type="Anticipated">August 1, 2019</completion_date>
  <primary_completion_date type="Anticipated">August 1, 2019</primary_completion_date>
  <study_type>Observational [Patient Registry]</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Other</observational_model>
    <time_perspective>Cross-Sectional</time_perspective>
  </study_design_info>
  <target_duration>3 Months</target_duration>
  <primary_outcome>
    <measure>caesarean section rate</measure>
    <time_frame>three months</time_frame>
    <description>absolute and relative caesarean section rate</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Postpartum haemorrhage</measure>
    <time_frame>from 24 hours to 6 weeks after the delievry</time_frame>
    <description>Blood loss of more than 500 mls at vaginal birth&#xD;
Blood loss of more than 1000 mls at caesarean section</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Maternal morbidity</measure>
    <time_frame>7 days after the delivery</time_frame>
    <description>Admission to Intensive care unit after the delivery</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Neonatal morbidity</measure>
    <time_frame>7 days of the delivery</time_frame>
    <description>Admission of newborn to Neonatal intensive care unit</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Maternal mortality</measure>
    <time_frame>42 days after the delivery</time_frame>
    <description>maternal death from 24 hours to 42 days after the delivery</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Neonatal mortality</measure>
    <time_frame>28 days after the delivery</time_frame>
    <description>death during the first 28 days of life (0-27 days</description>
  </secondary_outcome>
  <number_of_groups>10</number_of_groups>
  <enrollment type="Anticipated">3000</enrollment>
  <condition>Caesarean Section Rate</condition>
  <arm_group>
    <arm_group_label>Robson group 1</arm_group_label>
    <description>Nulliparous women, single cephalic, more than or equal to 37 weeks, in spontaneous labour</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 2</arm_group_label>
    <description>Nulliparous women, single cephalic, more than or equal to 37 weeks, induced or Caesarean section before labour</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 3</arm_group_label>
    <description>Multiparous women with out a previous Caesarean section , with a single cephalic pregnancy, more than or equal 37 weeks gestation in spontaneous labour</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 4</arm_group_label>
    <description>Multiparous women with out a previous Caesarean section , with a single cephalic pregnancy, more or equal 37 weeks gestation who had labour induced or were delivered by Caesarean section before labour</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 5</arm_group_label>
    <description>All Multiparous women with at least one CS with a single cephalic pregnancy, more or equal to 37 weeks gestation</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 6</arm_group_label>
    <description>All nulliparous women with a single breech pregnancy</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 7</arm_group_label>
    <description>Multiparous women with a single breech pregnancy including women with previous Caesarean section</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 8</arm_group_label>
    <description>All women with multiple pregnancies including women with previous Caesarean sections</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 9</arm_group_label>
    <description>All women with a single pregnancy with a transverse or oblique lie, including women with previous Caesarean Section (s)</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Robson Group 10</arm_group_label>
    <description>All women with a single cephalic pregnancy less than 37 weeks gestation, including women with previous Caesarean section (s)</description>
  </arm_group>
  <intervention>
    <intervention_type>Other</intervention_type>
    <intervention_name>Robson 10 group classification system</intervention_name>
    <description>WHO proposed the Robson classification system as a global standard for assessing, monitoring and comparing caesarean section rates within healthcare facilities over time, and between facilities. It classifies women in 10 groups based on their obstetric characteristics (parity, previous CS, gestational age, onset of labour, fetal presentation and number of fetuses) without needing the indication for CS.</description>
    <arm_group_label>Robson Group 10</arm_group_label>
    <arm_group_label>Robson Group 2</arm_group_label>
    <arm_group_label>Robson Group 3</arm_group_label>
    <arm_group_label>Robson Group 4</arm_group_label>
    <arm_group_label>Robson Group 5</arm_group_label>
    <arm_group_label>Robson Group 6</arm_group_label>
    <arm_group_label>Robson Group 7</arm_group_label>
    <arm_group_label>Robson Group 8</arm_group_label>
    <arm_group_label>Robson Group 9</arm_group_label>
    <arm_group_label>Robson group 1</arm_group_label>
  </intervention>
  <eligibility>
    <study_pop>
      <textblock>
        All women admitted to the labour ward for delivery who are 28 or more weeks of gestation.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion criteria:&#xD;
&#xD;
          -  Women delivering at ≥ 28 weeks gestation&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Women delivering at &lt; 28 weeks gestation&#xD;
      </textblock>
    </criteria>
    <gender>Female</gender>
    <minimum_age>N/A</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <overall_contact>
    <last_name>Bismeen Jadoon</last_name>
    <phone>00201002557602</phone>
    <email>bismeen.jadoon@gmail.com</email>
  </overall_contact>
  <location>
    <facility>
      <name>Egyption society of Royal college of obstetricians and gynaecologist</name>
      <address>
        <city>Cairo</city>
        <country>Egypt</country>
      </address>
    </facility>
    <status>Recruiting</status>
    <contact>
      <last_name>Bismeen Jadoon, MBBS</last_name>
      <phone>0020 1002557602</phone>
      <email>bismeen.jadoon@gmail.com</email>
    </contact>
    <contact_backup>
      <last_name>Amr El Nouri, MD</last_name>
      <phone>00201222146848</phone>
      <email>amr.elnouri@gmail.com</email>
    </contact_backup>
    <investigator>
      <last_name>Bismeen Jadoon, MBBS, MRCOG</last_name>
      <role>Principal Investigator</role>
    </investigator>
    <investigator>
      <last_name>Amr El Nouri, MD</last_name>
      <role>Principal Investigator</role>
    </investigator>
  </location>
  <location_countries>
    <country>Egypt</country>
  </location_countries>
  <link>
    <url>http://dhsprogram.com/pubs/pdf/FR302/FR302.pdf</url>
    <description>Egypt Demographic Health Survey (DHS) , 2014</description>
  </link>
  <reference>
    <citation>Appropriate technology for birth. Lancet. 1985 Aug 24;2(8452):436-7.</citation>
    <PMID>2863457</PMID>
  </reference>
  <reference>
    <citation>Betran AP, Ye J, Moller AB, Zhang J, Gulmezoglu AM, Torloni MR. The Increasing Trend in Caesarean Section Rates: Global, Regional and National Estimates: 1990-2014. PLoS One. 2016 Feb 5;11(2):e0148343. doi: 10.1371/journal.pone.0148343. eCollection 2016.</citation>
    <PMID>26849801</PMID>
  </reference>
  <reference>
    <citation>Torloni MR, Betran AP, Souza JP, Widmer M, Allen T, Gulmezoglu M, Merialdi M. Classifications for cesarean section: a systematic review. PLoS One. 2011 Jan 20;6(1):e14566. doi: 10.1371/journal.pone.0014566.</citation>
    <PMID>21283801</PMID>
  </reference>
  <reference>
    <citation>Betran AP, Vindevoghel N, Souza JP, Gulmezoglu AM, Torloni MR. A systematic review of the Robson classification for caesarean section: what works, doesn't work and how to improve it. PLoS One. 2014 Jun 3;9(6):e97769. doi: 10.1371/journal.pone.0097769. eCollection 2014.</citation>
    <PMID>24892928</PMID>
  </reference>
  <reference>
    <citation>Robson MS (2001) Classification of caesarean sections. Fetal and Maternal Medicine Review 12: 23-39.</citation>
  </reference>
  <reference>
    <citation>Robson M, Hartigan L, Murphy M. Methods of achieving and maintaining an appropriate caesarean section rate. Best Pract Res Clin Obstet Gynaecol. 2013 Apr;27(2):297-308. doi: 10.1016/j.bpobgyn.2012.09.004. Epub 2012 Nov 3.</citation>
    <PMID>23127896</PMID>
  </reference>
  <reference>
    <citation>Boatin AA, Cullinane F, Torloni MR, Betran AP. Audit and feedback using the Robson classification to reduce caesarean section rates: a systematic review. BJOG. 2018 Jan;125(1):36-42. doi: 10.1111/1471-0528.14774. Epub 2017 Jul 17.</citation>
    <PMID>28602031</PMID>
  </reference>
  <reference>
    <citation>Chaillet N, Dumont A. Evidence-based strategies for reducing cesarean section rates: a meta-analysis. Birth. 2007 Mar;34(1):53-64. doi: 10.1111/j.1523-536X.2006.00146.x.</citation>
    <PMID>17324180</PMID>
  </reference>
  <verification_date>July 2019</verification_date>
  <study_first_submitted>December 29, 2018</study_first_submitted>
  <study_first_submitted_qc>January 3, 2019</study_first_submitted_qc>
  <study_first_posted type="Actual">January 4, 2019</study_first_posted>
  <last_update_submitted>July 16, 2019</last_update_submitted>
  <last_update_submitted_qc>July 16, 2019</last_update_submitted_qc>
  <last_update_posted type="Actual">July 18, 2019</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>Egyptian Society of Royal College of Obstetricians and Gynaecologists</investigator_affiliation>
    <investigator_full_name>Dr Bismeen Jadoon</investigator_full_name>
    <investigator_title>Research coordinator</investigator_title>
  </responsible_party>
  <keyword>Robson classification</keyword>
  <patient_data>
    <sharing_ipd>Yes</sharing_ipd>
    <ipd_info_type>Study Protocol</ipd_info_type>
    <ipd_info_type>Statistical Analysis Plan (SAP)</ipd_info_type>
    <ipd_info_type>Informed Consent Form (ICF)</ipd_info_type>
    <ipd_info_type>Clinical Study Report (CSR)</ipd_info_type>
    <ipd_info_type>Analytic Code</ipd_info_type>
    <ipd_time_frame>3 months after the study completed</ipd_time_frame>
  </patient_data>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT03794063
org study id: ERC-RCOG
nct id: NCT03794063
lead sponsor: 
has dmc: Yes
is fda regulated drug: No
is fda regulated device: No
A prospective cross- sectional study will be conducted to implement the Robson Classification
      to assess, analyze and compare Caesarean section rate of the participating hospital over the
      period of three months. The Robson implementation manual will be used as a tool guide for the
      study.
Increase rate of unnecessary caesarean sections has been a growing concern in most parts of
      the world. According to the latest survey one in five women in the world now deliver by
      caesarean section (CS). The Eastern Mediterranean Region (EMR) with its twenty -two Member
      States (MSs) as classified by the World Health Organization is of no exception in this
      respect. Within the EMR, Egypt has the highest CS rate of 54%, with no further improvement to
      maternal and child mortality rates in Egypt, the association of extremely high CS rate and
      its potential benefits has been questioned. This may suggest that although the necessary
      numbers of CSs are performed for the population at risk but the rates higher than the
      recommended threshold (10-15% according to the WHO) could be the measure of unjustified CSs
      in healthy populations . However, determining the adequate caesarean section rate at the
      population level - i.e. the minimum rate for medically indicated caesarean section, while
      avoiding medically unnecessary operations - is a challenging task. Variations in overall CS
      rate between different settings or over time are difficult to interpret and compare because
      of intrinsic differences in hospital factors and infrastructure (primary versus tertiary
      level), difference in the characteristics of the obstetric population (case mix) served (eg %
      of women delivered by previous CS) and difference in clinical management protocols. This is
      seen as one of the barriers in better understanding of CS trends and underlying causes. In
      order to propose and implement effective measures to achieve optimal CS rates, it is first
      essential to identify what groups of women are contributing the most towards overall CS rate
      and investigate the underlying reasons for trends in different settings. Like many developing
      countries, health care facilities in Egypt have no such standardized internationally accepted
      classification system in place to monitor and compare facility based CS rates in a consistent
      and action oriented manner.

      Policy makers and health organisations have suggested the need for such classification system
      that can best monitor and compare CS rates in a standardised, reliable, consistent and
      action-oriented manner. WHO proposed the Robson classification system as a global standard
      for assessing, monitoring and comparing caesarean section rates within healthcare facilities
      over time, and between facilities. It classifies women in 10 groups based on their obstetric
      characteristics (parity, previous CS, gestational age, onset of labour, fetal presentation
      and number of fetuses) without needing the indication for CS. It gives an opportunity to
      evaluate the prevalence of CSs among various groups of women, to compare data between
      institutions, learn from each other and to create strategies for better results through audit
      and feed back cycle. This classification is clinically relevant and categorizes women
      prospectively which in turns allows the implementation and evaluation of interventions
      targeted to specific groups. Some studies have shown that if this classification is used on a
      regular basis, it can provide critical assessment to change the practice.

      Aim: The study aim is, to assess, analyse and compare CSR of the participating hospital over
      the period of three months according to the 10 Group Robson classification system

      Participating hospitals

      1: Ain Shams University Hospital 4: Mataria Teaching Hospital 4: Shatby Alexandria Hospital
      5: Benha University Hospital 6: Ahmed Maher Hospital 7: El-Galaa Hospital 8: Alexandria
      Hospital 9: Behira Hospital 10:Menia Hospital 11: Luxor Hospital 12: Nada Hospital 13:
      Rofayda Hospital

      Study design: A prospective cross- sectional study will be conducted to implement the Robson
      Classification within the obstetric department of participating hospitals. The Robson
      implementation manual will be used as a tool guide for the study.

      The study population will include all women with live births and stillbirths of at least 28
      weeks gestation at from. Two-study investigator from each participating hospital will be
      assigned who will provide the ongoing support during the study period. Participants will be
      invited to attend the introductory workshop for the implementation of the Robson
      Classification by the study coordinators. Variables necessary to categorise women in to
      Robson groups will be collected through the predesigned proforma. These variables will be
      used to classify each woman in to Robson groups with the help of a flow diagram. The
      collected information will be analyzed on the Excel Sheet to finalize the grouping either
      manually or by an automatic calculator.The results of each group will be statistically
      analyzed after entering the data in the report and will be sent on a monthly basis by e-mail
      or fax to study coordinators.
observational model: Other
time perspective: Cross-Sectional
measure: caesarean section rate
time frame: three months
description: absolute and relative caesarean section rate
measure: Postpartum haemorrhage
time frame: from 24 hours to 6 weeks after the delievry
description: Blood loss of more than 500 mls at vaginal birth
Blood loss of more than 1000 mls at caesarean section
measure: Maternal morbidity
time frame: 7 days after the delivery
description: Admission to Intensive care unit after the delivery
measure: Neonatal morbidity
time frame: 7 days of the delivery
description: Admission of newborn to Neonatal intensive care unit
measure: Maternal mortality
time frame: 42 days after the delivery
description: maternal death from 24 hours to 42 days after the delivery
measure: Neonatal mortality
time frame: 28 days after the delivery
description: death during the first 28 days of life (0-27 days
arm group label: Robson group 1
description: Nulliparous women, single cephalic, more than or equal to 37 weeks, in spontaneous labour
arm group label: Robson Group 2
description: Nulliparous women, single cephalic, more than or equal to 37 weeks, induced or Caesarean section before labour
arm group label: Robson Group 3
description: Multiparous women with out a previous Caesarean section , with a single cephalic pregnancy, more than or equal 37 weeks gestation in spontaneous labour
arm group label: Robson Group 4
description: Multiparous women with out a previous Caesarean section , with a single cephalic pregnancy, more or equal 37 weeks gestation who had labour induced or were delivered by Caesarean section before labour
arm group label: Robson Group 5
description: All Multiparous women with at least one CS with a single cephalic pregnancy, more or equal to 37 weeks gestation
arm group label: Robson Group 6
description: All nulliparous women with a single breech pregnancy
arm group label: Robson Group 7
description: Multiparous women with a single breech pregnancy including women with previous Caesarean section
arm group label: Robson Group 8
description: All women with multiple pregnancies including women with previous Caesarean sections
arm group label: Robson Group 9
description: All women with a single pregnancy with a transverse or oblique lie, including women with previous Caesarean Section (s)
arm group label: Robson Group 10
description: All women with a single cephalic pregnancy less than 37 weeks gestation, including women with previous Caesarean section (s)
intervention type: Other
intervention name: Robson 10 group classification system
description: WHO proposed the Robson classification system as a global standard for assessing, monitoring and comparing caesarean section rates within healthcare facilities over time, and between facilities. It classifies women in 10 groups based on their obstetric characteristics (parity, previous CS, gestational age, onset of labour, fetal presentation and number of fetuses) without needing the indication for CS.
arm group label: Robson Group 10
arm group label: Robson Group 2
arm group label: Robson Group 3
arm group label: Robson Group 4
arm group label: Robson Group 5
arm group label: Robson Group 6
arm group label: Robson Group 7
arm group label: Robson Group 8
arm group label: Robson Group 9
arm group label: Robson group 1
study pop: 
sampling method: Probability Sample
criteria: 
gender: Female
minimum age: N/A
maximum age: N/A
healthy volunteers: No
last name: Bismeen Jadoon
phone: 00201002557602
email: bismeen.jadoon@gmail.com
facility: 
status: Recruiting
contact: 
contact backup: 
investigator: 
investigator: 
country: Egypt
url: http://dhsprogram.com/pubs/pdf/FR302/FR302.pdf
description: Egypt Demographic Health Survey (DHS) , 2014
citation: Appropriate technology for birth. Lancet. 1985 Aug 24;2(8452):436-7.
PMID: 2863457
citation: Betran AP, Ye J, Moller AB, Zhang J, Gulmezoglu AM, Torloni MR. The Increasing Trend in Caesarean Section Rates: Global, Regional and National Estimates: 1990-2014. PLoS One. 2016 Feb 5;11(2):e0148343. doi: 10.1371/journal.pone.0148343. eCollection 2016.
PMID: 26849801
citation: Torloni MR, Betran AP, Souza JP, Widmer M, Allen T, Gulmezoglu M, Merialdi M. Classifications for cesarean section: a systematic review. PLoS One. 2011 Jan 20;6(1):e14566. doi: 10.1371/journal.pone.0014566.
PMID: 21283801
citation: Betran AP, Vindevoghel N, Souza JP, Gulmezoglu AM, Torloni MR. A systematic review of the Robson classification for caesarean section: what works, doesn't work and how to improve it. PLoS One. 2014 Jun 3;9(6):e97769. doi: 10.1371/journal.pone.0097769. eCollection 2014.
PMID: 24892928
citation: Robson MS (2001) Classification of caesarean sections. Fetal and Maternal Medicine Review 12: 23-39.
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PMID: 28602031
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PMID: 17324180
responsible party type: Principal Investigator
investigator affiliation: Egyptian Society of Royal College of Obstetricians and Gynaecologists
investigator full name: Dr Bismeen Jadoon
investigator title: Research coordinator
sharing ipd: Yes
ipd info type: Study Protocol
ipd info type: Statistical Analysis Plan (SAP)
ipd info type: Informed Consent Form (ICF)
ipd info type: Clinical Study Report (CSR)
ipd info type: Analytic Code
ipd time frame: 3 months after the study completed