Evaluating operationalisation of integrated monitoring and evaluation system in Kisumu County: Implications for policy makers

African Evaluation Journal

 
 
Field Value
 
Title Evaluating operationalisation of integrated monitoring and evaluation system in Kisumu County: Implications for policy makers
 
Creator Warinda, Enock
 
Subject Evaluation; Monitoring NIMES; operationalisation; e-ProMIS; evaluation; agriculture; policy; capacity
Description Background: Evaluation findings are increasingly becoming valuable for policy makers in Kenya. The Directorate of Monitoring and Evaluation is responsible for providing reliable data findings for decision-makers. They are in turn expected to access the data and information through the National Integrated Monitoring and Evaluation System (NIMES). Unfortunately, the directorate hardly receives timely data as required, thus is unable to make timely decision within the ministry of agriculture, livestock and irrigation in Kisumu County.Objectives: The aim of this study was to assess the extent of operationalisation of NIMES through utilisation of the electronic project management information system (e-ProMIS) within the three agricultural departments.Methods: Through single-point face-to-face interviews using semi-structured questionnaires, mixed methods approach and Likert scale were applied to assess the level of operationalisation of, staff competences in, and satisfaction with NIMES. Both random and purposive sampling was used. Using mixed methods approach, primary and secondary data were collected from 10 key indicators and fitted in a binary logistic regression model to assess the level of operationalisation of NIMES.Results: This article shows that operationalisation of NIMES is unsatisfactory, and data collected are incorrectly formatted. None of the departmental personnel charged with uploading relevant data in e-ProMIS neither accessed nor utilised the platform. There were no champions supporting NIMES, thus no reports generated from the system.Conclusions: Factors hindering operationalisation of NIMES were: dysfunctional monitoring and evaluation (ME) systems, limited human capacity on ME, lack of NIMES champions, limited availability of data, unclear information flow to decision makers and inadequate integration of NIMES in planning and budgeting.
 
Publisher AOSIS
 
Contributor
Date 2019-06-20
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Quasi-Experimental; Case Study
Format text/html application/epub+zip application/xml application/pdf
Identifier 10.4102/aej.v7i1.385
 
Source African Evaluation Journal; Vol 7, No 1 (2019); 12 pages 2306-5133 2310-4988
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://aejonline.org/index.php/aej/article/view/385/578 https://aejonline.org/index.php/aej/article/view/385/577 https://aejonline.org/index.php/aej/article/view/385/579 https://aejonline.org/index.php/aej/article/view/385/576
 
Coverage Kisumu County Kenya Gender
Rights Copyright (c) 2019 Enock Warinda https://creativecommons.org/licenses/by/4.0
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