Research Assistant | ReliefWeb

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Background:

inSupply Health is an independent Nairobi-based regional consultancy pioneering new approaches to improving public health supply chains in East Africa. Our dynamic team of local consultants work closely with public and private sector clients to design optimized, customized and resilient supply chain systems, drawing on the experience of our affiliate John Snow Inc. (JSI ). In complex contexts, inSupply deploys systems to deliver essential health commodities such as anti-malarial and anti-HIV drugs, vaccines and contraceptives. We take proven business methodologies and adapt them to local conditions. We work closely with our customers to shape their supply chains so they can own, implement and continually improve their systems for the long term. We specialize in developing supply chain maturity strategies, increasing organizational supply chain capacity, designing and implementing optimized, customer-driven supply chain systems. data and quantification of health product needs. inSupply does more than help our customers select the best technology for better supply chain management. We also invest in people and processes, helping to develop a data-driven culture of continuous improvement. For this specific assignment, inSupply Health is collaborating with JSI, to conduct post-intervention evaluations to assess the effectiveness of the RM-Lite (Remote Monitoring-Lite) system and lessons learned from the implementation of the ERMS project in two Kenyan counties.

Overview of the ERMS project in Kenya:

The Ministry of Health and UNICEF Kenya Country Office launched the project “Innovative Equipment Management and Maintenance System for Improved Availability and Functionality of Medical Equipment in Kenya” in 2019. The main objective of the project is to fill the main gaps and difficulties identified in the baseline study. assess and work to improve the availability, functionality and use of medical equipment. To this end, the project implemented a Remote Equipment Monitoring System (ERMS), a digital application created by Philips East Africa that enables centralized monitoring of assets, devices and other resources to create visibility in several health establishments. The solution enables monitoring of equipment failures through a centralized dashboard, with automatically generated tickets assigned for repairs on the same platform. The ERMS system is designed to generate a ticket and forward it to the responsible medical engineering technologist (Biomed) within the medical engineering services department once a medical equipment fault is identified or during preventative maintenance.

Rationale for Rating:

The first phase of the project was carried out between 2019 and 2021. It is now essential to collect evidence after the intervention to demonstrate whether the innovative approach used in this project produces the desired results. A post-intervention evaluation of the project will allow us to examine and document the effectiveness, efficiency, relevance, impact and sustainability of the project, as well as explore the challenges and lessons learned from phase 1 The findings of this assessment are expected to inform Phase 2 of the project and support evidence-based policy advocacy aimed at strengthening Kenya’s medical equipment systems. The research assistant will play a crucial role in the data collection process.

Responsibilities:

  • Meet with the inSupply Health assessment team to discuss and understand the assessment context, objectives, study guides and fieldwork plan
  • Participate in training to better understand the project, data collection tools and protocol instructions.
  • Data collection through focus group discussions, key informant interviews (KIIs) and structured target group questionnaires in respective sub-counties as assigned
  • Be responsible for managing the data quality aspects of field data collection while working with an inSupply Research Assistant Supervisor
  • Perform any other task related to assigned data collection

Desired qualifications and experience:

  • Experience collecting data using qualitative methods, e.g. focus group discussions, KIIs, in-depth interviews
  • Experience using mobile data collection methods e.g. ODK, SurveyCTO, Kobo Collect
  • Experience working on maternal and child health issues / collecting and interacting with maternal and child health data is highly desirable
  • Exceptional interpersonal and communication skills. Specifically, the ability to communicate clearly in English and Kiswahili.
  • Previous training and experience in collecting research data.
  • Experience working in public health/MOH programs in Kenya is preferred.
  • Superior organizational skills and ability to adhere to study procedures.
  • Prior experience in quantitative and qualitative data collection – particularly KIIs, FDGs and mobile data collection
  • Relevant university degree with 1-2 years of experience or diploma with 3-5 years of experience
  • Experience in field data collection in Kisumu and Kakamega counties is strongly desired.
  • Residents of Kisumu and Kakamega counties are encouraged to apply

How to register

Interested candidates should submit their applications to [email protected] with Research assistant as a subject, the day or before May 26, 2022. Your application should include your current CV and a one-page cover letter (describing why you think you are a good fit for this role) inSupply will review CVs on a rolling basis. Only selected candidates will be contacted. inSupply is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment based on mutual respect for all employees. We do not discriminate on the basis of age, gender, disability status, religion, ethnic origin, color, race, marital status or other protected characteristics .

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