Complexity-Aware Monitoring, Evaluation and Learning
LHSS integrates complexity-aware monitoring, evaluation, and learning principles and approaches throughout many of its activities to measure the complex and non-linear results of health systems strengthening interventions.
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WEBINAR RECORDING
On UHC Day, join us for a robust discussion on lessons learned from incorporating health system strengthening approaches into COVID-19 response efforts.
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WEBINAR RECORDING
In this webinar, we’ll listen to experiences and lessons from health system strengthening activities that have used two promising approaches: contribution analysis and outcome harvesting.
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WEBINAR RECORDING
In this webinar, we discuss conditions that facilitate the institutionalization of practices that improve health system outcomes.
Knowledge Products
The Most Significant Change (MSC) is a complexity-aware monitoring approach that helps us track and understand important changes happening in systems, practices, organizations, and people. LHSS Bangladesh has applied this MSC tool to identify, evaluate, and understand the most substantial changes within our primary health care system functions.
This Practice Spotlight brief describes contribution analysis, a monitoring, evaluation, research, and learning approach well-suited for examining the effects of HSS interventions conducted in complex environments, where the causes of change are multifaceted and difficult to trace.
This Practice Spotlight brief describes outcome harvesting, a monitoring, evaluation, research, and learning approach that can help tease out the specific impacts of HSS interventions conducted in complex environments, where many factors may influence an outcome.
The Social Protection Monitoring and Evaluation (M&E) Mechanism in Cambodia contributes to reducing poverty, vulnerability, and inequality by promoting and enhancing the effectiveness of the implementation of the National Social Protection Policy Framework (NSPPF).
This document identifies several scenarios for sustaining the use of Mi Paciente for monitoring ARI/COVID-19 patients, considering the socio-economic conditions of each territory.