Author(s)

BONGS LAINJO

Abstract

Over the last six decades, since many low and middle-income countries (LMICs) achieved independence, attempts of multi and bi lateral agencies to provide effective foreign assistance have been met with mixed results. It is in light of the above challenges that the framework Program Indicator Screening Matrix (PRISM) was designed. The model is defined by six criteria: specificity, reliability, sensitivity, simplicity, utility, and affordability. In an attempt to improve result-based management (RBM) in general and intervention data specifically, making foreign aid more focused and strategic with compelling evidence-based results, donors have increasingly teamed up and progressively introduced ubiquitous evaluation processes as an integral component of any program. A critical component that continues to confront many development aid stakeholders, is the ability to manage and improve the quality of data collected and reported. Current reviews of existing dynamics continue to be mixed. Hence a compelling need for a paradigm change cannot be adequately emphasized. Informed decisions are only as useful and constructive as the trustworthiness of the relevant data and quality. The general objective of this model is to strengthen the knowledge of implementing agencies and relevant stakeholders in mitigating indicator redundancies and optimizing quality results in program management. The model comprises a set of deterministic criteria simultaneously applied in identifying the most effective set of indicators in any thematic program area. It mitigates many program management nuisances by making indicators and data more reliable. A working group of experts use an analytical approach synonymous with the Delphi methodology. Each indicator during the assessment process is assigned a binary outcome (0,1) based on its performance with the relevant criterion. The resulting composite scores are evaluated against a bar established by these experts a priori. The model is thematically generic and inclusive.

Keywords

indicator-screening-matrix, results-based-management, gold standard, concordance, binary outcome, composite-score