Monitoring and Evaluation Associate at Gold Star Kenya

DUTIES AND RESPONSIBILITIES: 

• Conduct regular tools assessment in collaboration with the sub county and facility HRIOS to ensure that facilities have standard data collection and reporting tools. 
• Support the facility/Sub-County/County HRIOS in forecasting, distribution and redistribution of standard MOH tools as well as project customized tools. 
• Mentorship of health service providers on correct use of standard national recording and reporting tools and correct interpretation of indicators making reference to the indicator manual and user guides. 
• Champion implementation of EMR and e-HTS through mentorship support to EMR users, rolling out of EMR to new sites and ensuring 100% reporting rates for all EMR sites in the National Data Warehouse (NDW). 
• Ensure data quality in the EMR data by regularly reviewing data charts in the National Data Warehouse dashboard and providing feedback to facility staff and sub-county team. 
• Support and coordinate monthly data collection processes for all the facilities assigned and ensure all reports are collected and submitted within specified timelines. 
• Work closely with the Sub-County HRIOS to ensure timely submission of monthly standard MOH reports by facilities as well as timely entry into KHIS by 15 thof every month. 
• Work closely with facility staff to ensure timely submission of monthly project level reports  and timely upload into the projects internal database server IMIS (Information Management Information System) 
• Work with facilities, Sub-County and County teams to ensure the data submitted to KHIS and DATIM meet the data quality standards through conducting monthly Data Quality Audits (DQAs) and sharing feedback with all the relevant stakeholders. 
• Work with the MDT to conduct monthly gap analysis ensuring all service gaps are justified, all data gaps are addressed and corrected reports re-uploaded both in KHIS and project’s internal system. 
• Support convening and coordination of monthly data reviews in all the high volume sites, maintaining records of data review meetings held. 
• Work with sites to ensure M&E SOPs, Data review minutes and DQA reports are filed and action plans well documented. 
• Document findings in the MOH supervision booklet and actively follow-up facilities to ensure that commonly agreed data management improvement plans are followed and monitored by all parties. 
• Work with sites to ensure confidentiality and security of patient data is guaranteed and maintained by storing registers in a lockable cabinet and not sharing passwords for EMRs. 
• Work with facilities to maintain an updated inventory of EMR equipment and ensure electronic data security protocols are adhered to by all users. 
• Disseminate annual performance targets to facilities and ensure printed targets are pinned on the wall in the various service delivery points and sensitization checklist signed. 
• Actively support in monitoring of progress towards targets achievement through updated performance dashboards and charts. 
• Working closely with MOH County and Sub-County team, champion for NASCOP e-learning courses enrollment by facility staff i.e. M&E courses, Case-Based Surveillance etc. 
• Participate in CQI activities by ensuring CQI charts are updated on site.
• Participate in Monitoring and Evaluation Technical Working Group (TWG) meetings and activities in the county stationed. 
• Participate in quarterly, semi-annual and annual DATIM data entry and preparation. 
• Perform any other duties assigned by the supervisor from time to time.

MINIMUM REQUIREMENTS:

• Diploma in Statistics/Health Information Systems/Health Records and Information Technology with at least 4 years work experience in data management systems and experience in use of
• MOH tools. 
• Excellent understanding of PEPFAR indicators and reporting requirements is a must.
• Demonstrated experience with National Health Management Information Systems and Electronic Medical Record (EMR) system.
• Good interpersonal skills and ability to transfer knowledge through informal and formal trainings. Experience in training is an added advantage.
• Computer proficiency in MS Office Suite and word processing, databases, spreadsheets, including advanced skills in at least two of the following programs: SPSS, Epi Info, Stata.Good organizational, planning, interpersonal and communication skills.