2 months ago
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Nutrition International and the Federal Ministry of Health and Social Welfare have provided training for 40 healthcare workers in Cross River State on nutrition commodities logistics, related to the Nigerian Health Logistic Management Information System at the state level.
During the opening of the two-day training session, held on Tuesday in Calabar, funded by Nutrition International, the state coordinator, Olajumoke Oladapo mentioned that participants were selected from stakeholders in the state, logisticians, and DHIS focal persons in five local government areas in Cross River State – Bakassi, Akpabuyo, Calabar South, Calabar Municipal, and Odukpani.
Oladapo explained that before this training; only six health commodities were integrated into the NHLMIS, excluding nutrition. With this new training initiative, state and local government logistic personnel will soon be equipped to enter the necessary information on the NHLMIS platform.
She said, “Cross River State is fortunate to be among the few states to initiate this training. After the completion of this training, nutrition commodities will be incorporated into the NHLMIS, serving as a tool to monitor these commodities and identify gaps related to expired or insufficient supplies, thereby eliminating stockouts.”
The Permanent Secretary of CRSPHCDA, Dr Etim Ayi, also addressed the participants and emphasised that the training’s success depended on the participants’ engagement.
Ayi averred, “This training aims to prepare participants to become ambassadors in their facilities throughout the state. We are grateful to Nutrition International for its efforts in the state. This training is timely because, for some years, nutrition has been pushed aside. It is a very good thing that is happening to us here.”
Adeoti Samuel from the Federal Ministry of Health and Social Welfare led a session that focused on practical techniques for entering nutrition data into the NHLMIS online platform.
He highlighted that the NHLMIS allows stakeholders at all levels to analyse essential data trends and supports inventory management decision-making processes.
