HMIS-LMIS Consultant at the Management Sciences for Health (MSH)

The Management Sciences for Health (MSH), a global health nonprofit organization, uses proven approaches developed over 40 years to help leaders, health managers, and communities in developing nations build stronger health systems for greater health impact. We work to save lives by closing the gap between knowledge and action in public health.

We are recruiting to fill the position below:

Job Title: HMIS-LMIS Consultant

Job ID: 13-10938
Location: Nigeria - Multiple states
Grade: Consultant
Group / Office: PDG (Program Delivery Group)
Dept / Unit: PDGGEN - Program Delivery Group
Project / Program: A559 - Nigeria GF Malaria
Reports To: Senior Technical Manager, M&E

Overview

• Management Sciences for Health and Malaria Consortium in collaboration with Catholic Relief Services and National Malaria Elimination Program as lead Prme Recipients in 13 malaria priority states supported by the Global Fund.
• One of partners’ activities includes improved malaria commodity utilization and improved reporting from the health facilities, through effective and efficient HMIS and LMIS data triangulation, and the test positivity rates (TPR) reported from the routine health facility data through the NHMIS.
• One of such activity involves improved malaria commodity utilization and improved reporting from the health facilities, through effective and efficient HMIS and LMIS data triangulation.
• Theoretically, HMIS and LMIS data should match; however, there are different reasons those numbers do not match. It has, however, become imperative to compare them, to see what the differences and the magnitude of these differences are, identify the root causes and take specific actions that will help address the root causes and improve data quality.
• Comparing both data systems has been proposed by relevant stakeholders as a solution to many of these challenges. In addition, the test positivity rates (TPR) reported from the routine health facility data through the NHMIS have been persistently high ranging from 60% to 80% between Jan and Dec 2018. These persistently high TPRs, despite the numerous malaria interventions, raise questions regarding the true test positivity rate, hence the need to better understand health care workers’ practices in the management of fever cases at the health facilities.
• MSH will be supporting this activity across 13 Global Fund-supported states namely; Adamawa, Delta, Gombe, Jigawa, Niger, Kaduna, Kano, Kwara, Katsina, Ogun, Osun, Taraba and Yobe states. The exercise will be carried out to have a better understanding of the root causes behind the observed HMIS-LMIS data disparities and provide recommendations / interventions for addressing these root causes.

Overall Objective
The objectives of this on-site data and operations review includes:

• To compare HMIS and LMIS data from source documents and identify any disparities
• To identify the root causes of any identified disparities in both data sets
• To observe in real-time the management of suspected malaria cases by frontline healthcare workers including testing, treatment, documentation practices and other factors
• To understand the root causes of the high test positivity rates reported from facilities
• To work with the HFs, LGAs and states to proffer adequate solutions by mapping out an improvement plan to address the identified issues.
• To revisit the forecast and quantification and make necessary adjustments as relevant and appropriate.
• To consider impact on distribution plans and actions to be taken thereof.

Specific Responsibilities

• Analyze the submitted triangulation data with MSH team.
• To develop a comprehensive technical report detailing the findings of the triangulation in conjunction with MSH and other partners.
• Develop a Technical report of consultancy service provided.
• Any other tasks that maybe required in relation to the activity.

Qualifications and Experience

• Bachelor's Degree, Biostatistician / Epidemiologist and / or equivalent relevant experience.
• The Consultant will be very experienced in report writing.
• Consultant should be able to collate and analyze data at the end of the exercise.
• Experience using Data Collection/Statistical Packages: Survey ToGo, SPSS, STATA, Dedoose, MINITAB, ZAITUN, EPI INFO, Allocation software, DESIGN EXPERT, Modprobe, MS Excel, MS ward e.t.c.
• Excellent attitude and interpersonal skills.
• Teachability: ability to learn and apply new skill.

Application Closing Date
5th February, 2020

How to Apply
Interested and qualified candidates should:
Click here to apply online