From Programme Delivery to Decision-Ready Evidence
PROGRAMME EVALUATION · PUBLIC HEALTH · MIXED METHODS · CLINICAL DATA
A community-based diabetes programme required a structured evaluation approach to move beyond anecdotal success and establish measurable outcomes, understand participant experience and generate evidence that could inform future delivery.
Wells Research Consultancy supported the evaluation using a mixed-methods approach that combined pre- and post-programme clinical data with participant experience. The work brought together measurable health outcomes, behavioural change and qualitative insight to create a clearer evidence base for programme improvement and future decision-making.
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Client Situation
A community diabetes programme was generating promising outcomes, but lacked a structured evaluation framework to determine what was changing, why it was changing and how confidently those findings could inform future decisions.
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What Was Done
Designed and delivered a mixed-methods evaluation combining pre/post clinical data with participant experiences to assess outcomes, behaviour change and programme delivery.
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Outcome
A clearer, evidence-based picture of programme performance, including measurable changes in clinical indicators, documented diabetes remission cases and insight into the factors influencing participant outcomes.
The Challenge
- No structured framework for evaluating programme effectiveness
- Positive participant experiences risked remaining anecdotal rather than demonstrable
- Limited evidence on the scale and consistency of clinical change
- Uncertainty around the behavioural and programme factors contributing to outcomes
- Insufficient evidence to confidently inform programme refinement, continuation or future scaling
Our Approach
1. Build the evaluation around the decisions
The evaluation questions were defined around what programme leaders needed to understand: what changed, for whom, and what the findings meant for future delivery.
2. Combine measurable outcomes with participant experience
Pre/post clinical indicators were examined alongside qualitative evidence to understand both observed change and the factors that may have contributed to it.
3. Look beyond headline outcomes
The evaluation explored behaviour change, adherence, barriers and participant experience to identify where the programme appeared strongest and where delivery could be improved.
4. Translate findings into action
Quantitative and qualitative findings were brought together into clear conclusions and recommendations for programme development and future decision-making.
Outcome/Impact
The evaluation transformed fragmented programme information into a clearer, structured evidence base on participant outcomes, behaviour change and programme performance.
Analysis of pre- and post-programme clinical data identified measurable changes in key indicators, including HbA1c and BMI, alongside documented cases of diabetes remission. Qualitative findings added important context by showing how participants experienced the programme, what supported behaviour change and where barriers to adherence remained.
Bringing these evidence sources together allowed the programme to move beyond positive anecdotes and develop a more defensible understanding of what was changing and which aspects of delivery appeared to contribute to those outcomes.
The evaluation provided:
Stronger evidence of outcomes
Clinical and participant data were brought together to demonstrate measurable change and provide a more complete picture of programme performance.
Greater understanding of what influenced change
Participant experiences helped identify behavioural, motivational and delivery-related factors associated with engagement and outcomes.
Clearer opportunities for improvement
The findings highlighted areas of strength alongside barriers and aspects of programme delivery that could be refined.
A stronger basis for future decisions
The resulting evidence could support decisions about programme continuation, adaptation, future monitoring and potential scaling.
The value of the evaluation was not simply showing that outcomes had changed, but creating a clearer understanding of what those changes meant for the programme and what should happen next.
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Why This Matters
Positive participant stories can signal that a programme is making a difference, but they are not enough on their own to demonstrate what has changed, understand why those changes occurred or guide future investment.
This project shows the value of combining measurable programme outcomes with participant experience. Clinical data provided evidence of change, while qualitative insight helped explain the behaviours, barriers and programme features that shaped those outcomes.
By bringing both together within a structured evaluation framework, the programme gained evidence that was more useful for improving delivery, strengthening future monitoring and informing decisions about continuation and potential scaling.
Good evaluation does more than report results. It turns programme experience and data into evidence that helps organisations decide what to strengthen, what to change and what to do next.