Abstract
Background. Evidence-informed policymaking (EIPM) is widely advocated but poorly understood experimentally, particularly in low- and middle-income country (LMIC) economic policymaking contexts. A systematic review identified only 18 counterfactual impact evaluations of EIPM interventions globally, with just 6 rated low risk of bias. No prior factorial randomized controlled trial (RCT) has simultaneously tested multiple behavioral mechanisms among senior government officials in LMIC economic ministries. The relative contributions of how evidence is framed and who delivers it remain experimentally untested. Objectives. The BRIDGE Trial estimates the main effects of (i) evidence framing — technical versus narrative with citizen voice — and (ii) messenger identity — peer civil servant versus external academic expert — on evidence use among senior Ugandan government officials, and tests for an exploratory framing-by-messenger interaction. Methods. BRIDGE is a pragmatic, 2×2 factorial, individually randomized, controlled superiority trial. Two hundred and forty senior civil servants (grades U1, U1E, U2, U3, and U4; at least 35 percent women) from the Ministry of Finance, Planning and Economic Development (MoFPED), the Ministry of Energy and Mineral Development (MEMD), the Ministry of Trade, Industry and Cooperatives (MTIC), and the National Planning Authority (NPA) will be randomized in equal numbers (n=60 per arm) across four arms: technical/peer, technical/expert, narrative/peer, narrative/expert. Allocation uses constrained randomization stratified by institution, seniority (U1, U1E, and U2 versus U3 and U4), and gender (16 strata), with a public randomization ceremony in Month 3. Participants receive up to 18 evidence briefs on fiscal, energy, and trade policy topics over an 18-month delivery window (Months 4–21), aligned to Budget Framework Paper cycles. The primary outcome is the Evidence Use Index (EUI), a 0–30 composite of citations in policy documents, follow-up evidence requests, and budget allocation alignment, scored at endline by two blinded coders. Secondary outcomes capture conceptual, attitudinal, procedural, and process domains. Analysis is intention-to-treat (ITT) using a factorial linear model with HC2 robust standard errors; the trial is powered at 80 percent to detect main-effect minimum detectable effects (MDEs) of 0.30 standard deviations (SDs), assuming an intracluster correlation coefficient (ICC) of 0.10 and attrition under 20 percent. A pre-specified adaptive design review at Month 9 may modify arm pooling or brief frequency if the interaction effect is negligible. Significance. BRIDGE will produce the first factorial experimental evidence on optimal modes of evidence delivery to LMIC policymakers and inform the design of scalable EIPM interventions in Uganda and comparable settings. Funder. UK Foreign, Commonwealth and Development Office (FCDO) via the International Initiative for Impact Evaluation (3ie), grant RCC037ODAGHE, total £399,751.