Data collectors’ supervisors

Overview

G-ANC is a 2-year project sub awarded to Jhpiego by Technical Advice Connect (TA CONNECT) The G-ANC project will provide technical assistance (TA) to Nasarawa and Bauchi State Ministry of Health (SMOH) and State Public Health Care Development Agency (SPHCDA) scaleup and institutionalize Group ANC within maternal and new born health (MNH) services in public health facilities to improve the quality and experience of ANC for pregnant women through the state. The overall project goal is to improve reproductive, maternal, neonatal and child health (RMNCH) outcomes for pregnant women and their babies in Nasarawa and Bauchi State thus helping the State achieve its MNH annual and long-term targets.

Achieving the objectives of the G-ANC project requires a strong and efficient strategic information system that is able to use data to inform programmatic decisions. The right decisions depend on the correct data. This requires the availability and use of correct data at all levels.

G-ANC project implementing and scaling up G-ANC services in Nasarawa and Bauchi state and improving the entire continuum of care from pregnancy till about 1000 days after birth. This will require a proper audit of the data to ensure that G-ANC implements with the correct baseline data. As a result, G-ANC project will conduct full data validation and audit in selected health facilities in in both states for implementation of quality services across the entire continuum of care.

G-ANC will engage 20 data collectors per state to validate RMNCH data from the facility in 10 days. Two (2) lead supervisors will be expected to coordinate the data collectors, harmonize validated data with support from the project M&E Advisor. The overall purpose of this consultancy is to collect facility MNCH data preintervention data to serve as a baseline for the facility.

Orientation and Training:

• Attend comprehensive orientation and training sessions to understand the project objectives, data collection tools, and ethical considerations.
• Support to facilitate training sessions for data collectors, emphasizing the study protocol, ethical guidelines, and the proper use of data collection instruments.

Supervision and Quality Control:

• Oversee and manage a team of data collectors, ensuring adherence to the study protocol and ethical standards.
• Conduct regular site visits to observe and monitor data collection activities.
• Implement quality control measures to ensure the accuracy and completeness of collected data.

Technical Support:

• Provide technical support to data collectors, addressing any challenges or questions that may arise during data collection.
• Verify and ensure the proper utilization of electronic data collection tools or paper-based forms.
• Conduct spot checks to data collectors to ensure adherence.

Problem Resolution:

• Address and resolve any issues or challenges encountered by data collectors promptly.
• Report complex issues or concerns to the project M&E advisor for further guidance.

Communication:

• Maintain open and effective communication with data collectors, project M&E advisor, and other team members.
• Facilitate regular debriefing sessions with data collectors to discuss progress, challenges, and areas for improvement.

Documentation Review:

• Review and verify the completeness and accuracy of all documentation submitted by data collectors, including surveys, forms, and field notes.
• Ensure that data collected, both quantitative and qualitative, is securely stored and handed over to the designated project personnel.

Ethical Oversight:

• Monitor and enforce adherence to ethical guidelines during data collection, ensuring informed consent and confidentiality.
• Report any ethical concerns or violations promptly**.**

Required Qualification

• At least 4 years’ post-NYSC professional experience
• Previous experience in supervising health-related data collection projects.
• Familiarity with RMNCH indicators and issues.
• Strong interpersonal and communication skills.
• Ability to provide technical support and guidance to data collectors.
• Understanding of electronic data collection tools