Health system strengthening interventions

Health System Strengthening Interventions: Importance of Impact Evaluation

• Introduction

  • Health system strengthening (HSS) interventions are crucial due to their impact on morbidity and mortality.

  • The need for systematic impact evaluation to assess efficacy, similar to clinical trials for drugs.

• Evidence Gap

  • HSS interventions often rely on theoretical effectiveness.

  • Weak health systems in low-income settings lead to a loss of lives.

  • Limited incentives for conducting research and evaluation among governments and donors.

Types of Evaluations

• Impact Evaluation

  • Defined as the assessment of changes caused by an intervention.

  • Distinction from formative and process evaluations which focus on performance and implementation improvements.

• Importance of Evaluation Types

  • Performance evaluation uses routine data; impact evaluation uses primary data collection to determine effectiveness.

Health System Barriers and Responses

• Central Level Barriers

  • Low priority for health due to inadequate funding (low public spending as % of GDP).

  • Administrative constraints affect health worker retention.

• Local Management Barriers

  • Irregular cash flow and staff shortages weaken system performance.

• Facility Level Barriers

  • Knowledge gaps in protocols affect health workers’ performance.

  • Low demand for preventive care due to perceived low quality.

• Household Level Barriers

  • Preference for informal practitioners over formal healthcare due to convenience.

Review of In-Service Training

• Training Effectiveness

  • It is widely assumed that training improves health workers’ performance, but evidence is mixed.

  • Systematic reviews reveal varied success rates across training methodologies.

• Research Findings on Training

  • Successful interventions: multi-method training and problem-focused groups.

  • Ineffective: traditional didactic trainings.

The Need for Rigorous Evaluations

• Impact Evaluation Challenges

  • Difficulty collecting robust evidence for widely implemented interventions.

  • Poor communication and data utilization hinder effective decision-making.

• Performance vs. Impact Outcomes

  • Routine data tracking may not equate to actual program impact due to external factors and biases.

  • Example comparison of interventions shows varying impacts based on regional capacities.

Recommendations for Better Impact Evaluations

• Best Practices for Evaluations

  • Map causal pathways of interventions to understand outcomes better.

  • Design evaluations prospectively for stronger evidence collection.

• Diverse Evaluation Designs

  • Non-experimental designs: weakest evidence;

  • Quasi-experimental designs: some control over confounding factors;

  • Experimental designs: strong cause-and-effect conclusions.

Going Forward: Strengthening Evaluation Capacity

• Invest in Evaluations

  • Viewing evaluations as an investment can justify costs in low-resource settings.

• Building Capacity

  • Strengthen local evaluations through training, collaboration, and resources.

• Involving Decision Makers

  • Engage policy-makers in evaluation processes for enhanced applicability of findings.

• Developing a Culture of Evaluation

  • Establish systems where evaluations drive decision-making, improving programs continuously.

Conclusion

• Call for Evidence-Based Motivation

  • Emphasizes the necessity for more evaluation of HSS interventions, leveraging findings to shape informed policies.

  • Global investment in evaluations is essential to enhance health systems and ultimately save lives.