Program Description: Family AIDS and Education Services (FACES) is collaboration between the Kenya Medical Research Institute (KEMRI), University of California, San Francisco (UCSF) and University of Washington (UW) – and other affiliated institutions.
Family AIDS Care and Education Services (FACES) program, is a comprehensive HIV prevention and Treatment program managing many sites within in Kisumu County.
FACES program is seeking for a self-motivated and proactive individual to fill the vacancy below:
Position: Data / QI Coordinator
Vacancy No. FN-005-01-2018
Reports to: Monitoring and Evaluation Data Manager
Duty Station: Kisumu
Duration: 1 year Renewable Contract as per KEMRI Scheme of Service.
The first 3 months is a probation period
Position Summary: In collaboration with the FACES monitoring and Evaluation Manager Conducts studies and analyzes data to evaluate the performance in quality improvement.
Analyzes, develops and implements improvement activities to increase compliance rates and Leads and participates in special projects, as directed.
Duties and Responsibilities
Provide program leadership in formulating techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects (electronic and non- electronic health facilities) including weekly data backups
Support Data Quality Officers/MLE Officers in the daily use of data systems and ensure adherence to program standards
Responsible for IeDEA data management and reporting
Supervise sub county data quality officers and ensure they carry out facility data audits
Work closely with the MLE Department in auditing and validation of the DHIS/DATIM and FACES DHIS 2 database
Work closely with MOH counterparts, including health facilities site visits to ensure systems are in alignment with HMIS standards and to strengthen health facility systems capacity
Ensure OpenMRS/KenyaEMR, eFTCR, eMCHR, RedCAP databases and archives are protected from security breaches and data losses
Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.
Troubleshoot data-related problems and authorize maintenance or modifications in collaboration with regional data quality officers
Work closely with MLE Coordinator to support EMR sites reporting and registers e.g MOH 731, Green card, Bluecard, MOH 361A, MOH 361B and other supplemental forms
Participate in design and validate databases including designing or testing logic checks
Design systems for receiving, processing, or tracking data
develop work instruction manuals, data capture guidelines, or standard operating procedures
Plan and facilitate on technical procedures or program usage to FACES and MOH staff
Manage Sub county data quality Officers department while overseeing EMR data entry and accuracy at program level
Assist with reports and data extraction when needed
Create and enforce policies for effective data management
Represent FACES and participate in SI related regional and national meetings and forums as requested
Provide healthcare Quality Improvement and support in at county, sub-county and facility levels
Engage with the Ministry of Health sub county level health management teams and other stakeholders to support quality improvement work in line with the Kenya HIV Quality Improvement Framework (KHQIF) and Kenya Quality Model for Health (KQMH)
Develop and update materials for Quality Improvement trainings, learning sessions and coaching activities
Conduct Quality Improvement training to regional Trainers of Trainers (TOTs) in selected sub-counties
Train sub-county level health management teams to be quality improvement coaches.
Mentor quality and work improvement teams at healthcare facilities
Conduct routine healthcare facility audits on quality improvement
Prepare monthly QI reports and updates.
Required Qualifications: Minimum of Bachelor’s Degree in Social science, Applied Mathematics, Computer Science, or Statistics.
Required Experience: Minimum of 3 year’s relevant work experience preferably in a clinical research setup
Other Required Skills
Must be competent in computer statistical packages i.e. SPSS, SAS or STATA
Ability to manage and prioritize multiple projects and timelines.
Ability to represent findings and conclusions effectively in appropriate tabular, graphic and written formats.
Ability to establish and maintain effective working relationships with professional colleagues, public and private sector officials and regional professionals
