Electronic Partograph: A Way of Improving Partograph Use During Labour Monitoring Process in Selected District Hospitals in Bangladesh

Background (brief):

  1. Burden: Abnormal prolonged labour and its effects are important contributors to maternal and perinatal mortality and morbidity worldwide. Although the partograph has been shown to be an efficacious tool for monitoring labor and identifying women in need of an comprehensive emergency obstetric intervention, it's appropriate use is questionable throughout the world. Evidence suggests that very few service provider use partograph despite recognizing its usefulness.
  2. Knowledge gap: In Bangladesh partograph is hardly used by the concern person though its importance and positive outcome is acknowledged at the national level. To introduce a digital partograph Johns Hopkins Program for International Education in Gynecology and Obstetrics (Jhpiego) developed an ePartogram device and WHO created partograph e-Learning tool. Jhpiego is currently testing three ePartogram implementations. However, till today, no data has been collected or analysed for any of these ePartogram models. The WHO e-Learning tool has been distributed to facilities like Kenyatta National Hospital via CD-ROM. In Kenya, a study also being conducted using a digital partograph (partopen) and results are yet to come.
  3. Relevance: The use of the paper partograph is found to be complex and too much time-consuming for effective use in low-resource settings where there has been inadequate health care staffing. These challenges highlight a need for strengthening providers' skills and/or developing new technologies that are suitable for low-resource countries and promote consistent, correct use of the partograph as well as, a labour monitoring system for the peripheral level health facilities. The benefits of this device are: ease of use, minimal training requirements, improved data quality and capture, and seamless integration into current local practice.

Objectives: The current study aims-

  1. To explore the feasibility, acceptability of digital partograph use among health service providers in selected district hospitals in Bangladesh;
  2. To compare the user rate between paper and digital partograph during labour monitoring process in district hospitals in Bangladesh;
  3. To compare the outcome of paper and digital partograph use in respect to the birth asphyxia and prolonged labour rate after introducing digital partograph in selected district hospitals in Bangladesh;
  4. To determine the barriers and facilitating factors of introducing electronic partograph in district hospital in Bangladesh.

Methods: A mixed-method prospective follow-up study with crossover design will be conducted in two DHs. One DH will serve as intervention (electronic partograph) hospital and another as control hospital (paper-based partograph). After applying the crossover design this allocation will be reversed. The total study will be completed within 18 months period. Nurse-midwives posted in obstetric wards will be the study participants. The sample size in each DH will be 506 mothers who will deliver their baby during the study period.

Outcome measures/variables:

  • Feasibility and acceptability of digital partograph use will be assessed among health service providers in selected DH in Bangladesh;
  • The user rate of digital partograph will be estimated during labour monitoring process in DHs in Bangladesh;
  • The birth asphyxia and prolonged labour rate will be estimated after introducing digital partograph in selected DHs in Bangladesh;
  • The barriers and facilitating factors of introducing electronic partograph will be determined in DHs in Bangladesh.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Study design, site and duration:

A prospective, follow-up crossover study design was used. Two secondary level referral hospitals in Jessore and Kushtia districts were selected as study sites. The selected facilities were similar in terms of infrastructure, human resources, and service delivery scenarios to typical district hospitals and were thus representative of public hospitals in Bangladesh. However, there were a few differences in the number of c-section and stillbirth rates in between two study hospitals. The crossover study design adopted under this study was designed to minimize the impact of this non-similarity on the study outcomes. The same facility was served as its own control at different time point in time. The study was conducted in two phases with an intervening pause period. During the first phase, an electronic partograph was used in Kushtia district hospital and a paper based partograph was used in Jessore district hospital. Both of these hospitals were being crossed to alternate partograph tool after the pause period.

The nurse-midwives from each hospital posted in obstetric wards were the user who observed the calculated deliveries (N=506 for each facility) during the study period. Each participant attended a two-day long training to become acquainted with the respective partograph that they would be utilizing in the first phase of the study. Another training session was also arranged during the pause period. Clinical parameters recorded in the partograph were validated by the project appointed research assistants with midwifery qualifications who observed labor progression and deliveries.

Sample selection:

Sample size calculations were completed on the basis of existing prevalence of partograph use (17.1 %), and delivery outcome data related to paragraph use such as incidence of birth asphyxia (22%) and prolonged labour (7%) . Sample size calculations also took into account the refusal rate (10%) and design effects. Thus to observe the 50% improvement for all three mentioned clinical parameters (increased use of partograph, decreased level of birth asphyxia, and prolonged labour), the number of deliveries that needed to be observed were as follows, 105, 216 and 506 respectively at 80% power and 5% significance level. Thus the final sample size in each district hospital was taken as 506; half of the sample (253) before and the other half (253) after applying the crossover design. Field data collection continued for 12 months and the data collectors tried to capture all deliveries until the required minimum sample size was achieved.

Inclusion criteria Inclusion criteria for the study were women with spontaneous labour in the first stage of labour with cervical dilatation in between 4-7 centimeters, singleton pregnancy, gestation of at least 37 completed weeks, cephalic presentations, and no additional complications.

Exclusion criteria Exclusion criteria for the study were women with ante partum hemorrhage, breech presentation, multiple pregnancies, premature labour (before 37 weeks), eclampsia, elective caesarean section, and induced labour.

Study procedure and data collection:

An expert obstetrician, who was also a study investigator, provided training to the nurses and midwives. The basics for the paper and electronic partographs were essentially the same, so the training methods were not vastly different. For the e-partograph, a junior programmer was available by mobile phone, around-the-clock, to provide any instant trouble shooting or feedback. In addition, the Android Tablet was used for implementing the digital partograph study. Participants were also introduced to varying inconsistencies and errors they might face when utilizing the e-partograph. The research assistants became expert users of the e-partograph and facilitated the usage for the weak users.

e-partograph: The electronic version of the partograph was a state-of-the-art application that is accessed through smart phone or tablet pc or computer device. The application's user interface (UI) is segmented; users will have to concentrate only on a single portion at a time that would lessen the existing complexity of using paper-based partograph.

e-partograph application's user interface in Android programming language for smart tabs, and in ASP.net with C# language for personal computers. The application has options to save the data in local storage and in a remote central database storage concurrently. Local storage contains data for temporarility; the remote server contains the data permanently which makes the partograph information searchable at any time and place. This application allows partograph data to be monitored remotely.

The existing knowledge on how to use the paper and e-partograph was assessed for each participant before the start of the training to understand the skill status of the individuals. The training consisted of two days of intensive hands on training as well as a refresher course that was organized six months after the first training to ensure that participants would not forget the information. In order to measure user rates, rates of birth asphyxia, and prolonged labour, record reviews generated by the partographs were collected and analyzed.

Data Analysis:

Quantitative data was analyzed using SPSS 23 statistical software. The outcome variables were use of the partograph and delivery outcomes (prolonged labour and birth asphyxia). The independent variables covered maternal demographic and obstetric variables along with fetal characteristics as well as partograph type and facility. Partograph was considered done when it was correctly used for labour monitoring among the delivered women who fall under inclusion criteria. Prolonged labour was defined as labour extending more than 12 hours and birth asphyxia was defined as an APGAR score less than 7 on the 5th minute after delivery. Discrete variables were expressed as percentages and presented as frequency tables and cross tabulations. Chi square (χ2) tests were employed to test the association between proportions of respondents and type of partograph. Statistical significance was defined as p-values of <0.05. The data collected between the two groups was analyzed in such a way that a clear comparison could be made between the user rate of different periods (before and after applying the crossover design). Potential confounding factors were adjusted using binary logistic regression.

Ethical Assurance:

The Research Review Committee (RRC) of the International Centre for Diarrheal Disease Research, Bangladesh (icddr, b) approved the technical part of the proposed study. Then the Ethical Review Committee (ERC) of icddr, b who oversees the protection of human rights, approved the study. In addition, informed consent was obtained from the hospital administration, health workers, and the laboring mothers.

Study Type

Interventional

Enrollment (Actual)

1012

Phase

  • Not Applicable

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Description

Inclusion Criteria:

  • women with spontaneous labour in the first stage of labour
  • cervical dilatation in between 4-7 centimeters
  • singleton pregnancy
  • gestation of at least 37 completed weeks
  • cephalic presentations
  • no additional complications

Exclusion Criteria:

  • women with ante partum hemorrhage
  • breech presentation,
  • multiple pregnancy,
  • premature labour (before 37 weeks)
  • Eclampsia,
  • elective caesarean section
  • induced labour

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Non-Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Electronic partograph

The electronic version of the partograph was a state-of-the-art application that is accessed through smart phone or tablet pc or computer device. The application's user interface (UI) is segmented; users will have to concentrate only on a single portion at a time that would lessen the existing complexity of using paper-based partograph.

e-partograph application's user interface in Android programming language for smart tabs, and in ASP.net with C# language for personal computers. The application has options to save the data in local storage and in a remote central database storage concurrently. Local storage contains data for temporarility; the remote server contains the data permanently which makes the partograph information searchable at any time and place. This application allows partograph data to be monitored remotely.

The electronic version of the partograph was a state-of-the-art application that is accessed through smart phone or tablet pc or computer device. The application's user interface (UI) is segmented; users will have to concentrate only on a single portion at a time that would lessen the existing complexity of using paper-based partograph.

e-partograph application's user interface in Android programming language for smart tabs, and in ASP.net with C# language for personal computers. The application has options to save the data in local storage and in a remote central database storage concurrently. Local storage contains data for temporarility; the remote server contains the data permanently which makes the partograph information searchable at any time and place. This application allows partograph data to be monitored remotely.

Active Comparator: Paper Partograph
An standard training on how to use and fill out partograph was conducted

The electronic version of the partograph was a state-of-the-art application that is accessed through smart phone or tablet pc or computer device. The application's user interface (UI) is segmented; users will have to concentrate only on a single portion at a time that would lessen the existing complexity of using paper-based partograph.

e-partograph application's user interface in Android programming language for smart tabs, and in ASP.net with C# language for personal computers. The application has options to save the data in local storage and in a remote central database storage concurrently. Local storage contains data for temporarility; the remote server contains the data permanently which makes the partograph information searchable at any time and place. This application allows partograph data to be monitored remotely.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
User rate of Electronic Partograph
Time Frame: 37 completed gestational weeks
Increased user rate
37 completed gestational weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2015

Primary Completion (Actual)

August 30, 2016

Study Completion (Actual)

December 31, 2016

Study Registration Dates

First Submitted

April 16, 2018

First Submitted That Met QC Criteria

April 25, 2018

First Posted (Actual)

April 26, 2018

Study Record Updates

Last Update Posted (Actual)

May 11, 2018

Last Update Submitted That Met QC Criteria

May 4, 2018

Last Verified

April 1, 2018

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • PR-14011

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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