Related Experiment Video
Updated: Jul 7, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Modified realist evaluation of a complex, multi-centred, multi-intervention programme
C Greenhalgh1, G Williams1, A Harrison1
1Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
The Well North program used a modified realist evaluation to understand how complex health interventions worked in diverse settings. This approach provided insights into effective strategies for improving health equity and reducing worklessness.
Area of Science:
- Public Health
- Health Services Research
- Socioeconomic Determinants of Health
Background:
- The Well North program was a large-scale, multi-site initiative in Northern England aimed at reducing health inequalities.
- It focused on improving the health of disadvantaged populations, enhancing resilience, and decreasing worklessness.
- Local sites had autonomy to implement tailored interventions based on community needs.
Purpose of the Study:
- To evaluate the complex Well North health improvement program.
- To understand what works, for whom, and in what circumstances, by adapting realist methodology.
- To provide iterative feedback for program adaptation and improvement.
Main Methods:
- A modified realist evaluation framework was employed.
- Qualitative and quantitative methods were integrated within a Rapid Cycle Evaluation.
- Contexts, Mechanisms, and Outcomes (CMOs) were identified and theorized iteratively.
Main Results:
- The study identified key Contexts, Mechanisms, and Outcomes (CMOs) configurations for various interventions.
- A middle-range theory was developed and refined through continuous validation.
- Adaptations to the realist methodology were necessary to accommodate program complexity.
Conclusions:
- Realist methodology, though requiring modification, proved effective for evaluating complex health programs.
- The iterative approach facilitated program learning and adaptation.
- The evaluation provided valuable insights into addressing health inequalities through targeted interventions.
More Related Videos
Related Concept Videos
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Nursing Evaluation
Experimental Designs
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...

