Community and District Empowerment for Scale-up (CODES): a complex district-level management intervention to improve child survival in Uganda: study protocol for a randomized controlled trial

Trials. 2016 Mar 11;17(1):135. doi: 10.1186/s13063-016-1241-4.


Background: Innovative and sustainable strategies to strengthen districts and other sub-national health systems and management are urgently required to reduce child mortality. Although highly effective evidence-based and affordable child survival interventions are well-known, at the district level, lack of data, motivation, analytic and planning capacity often impedes prioritization and management weaknesses impede implementation. The Community and District Empowerment for Scale-up (CODES) project is a complex management intervention designed to test whether districts when empowered with data and management tools can prioritize and implement evidence-based child survival interventions equitably.

Methods: The CODES strategy combines management, diagnostic, and evaluation tools to identify and analyze the causes of bottlenecks to implementation, build capacity of district management teams to implement context-specific solutions, and to foster community monitoring and social accountability to increase demand for services. CODES combines UNICEF tools designed to systematize priority setting, allocation of resources and problem solving with Community dialogues based on Citizen Report Cards and U-Reports used to engage and empower communities in monitoring health service provision and to demand for quality services. Implementation and all data collection will be by the districts teams or local Community-based Organizations who will be supported by two local implementing partners. The study will be evaluated as a cluster randomized trial with eight intervention and eight comparison districts over a period of 3 years. Evaluation will focus on differences in uptake of child survival interventions and will follow an intention-to-treat analysis. We will also document and analyze experiences in implementation including changes in management practices.

Discussion: By increasing the District Health Management Teams' capacity to prioritize and implement context-specific solutions, and empowering communities to become active partners in service delivery, coverage of child survival interventions will increase. Lessons learned on strengthening district-level managerial capacities and mechanisms for community monitoring may have implications, not only in Uganda but also in other similar settings, especially with regard to accelerating effective coverage of key child survival interventions using locally available resources.

Trial registration number: ISRCTN15705788 , Date of registration; 24 July 2015.

Keywords: Bottleneck analysis; Child survival; Community monitoring; District strengthening; Evidence-based; Health systems strengthening; LQAS; Management tools; Uganda.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Child Health Services / organization & administration*
  • Child Health Services / standards
  • Child Mortality*
  • Child Welfare*
  • Child, Preschool
  • Diarrhea / diagnosis
  • Diarrhea / mortality
  • Diarrhea / therapy*
  • Health Priorities / organization & administration
  • Health Services Accessibility / organization & administration
  • Health Services Needs and Demand / organization & administration
  • Humans
  • Infant
  • Infant, Newborn
  • Interdisciplinary Communication
  • Intersectoral Collaboration
  • Malaria / diagnosis
  • Malaria / mortality
  • Malaria / therapy*
  • Needs Assessment / organization & administration
  • Patient Care Team / organization & administration
  • Pneumonia / diagnosis
  • Pneumonia / mortality
  • Pneumonia / therapy*
  • Quality Improvement / organization & administration*
  • Quality Improvement / standards
  • Quality Indicators, Health Care / organization & administration*
  • Quality Indicators, Health Care / standards
  • Research Design
  • Risk Factors
  • Time Factors
  • Uganda

Associated data

  • ISRCTN/ISRCTN15705788