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Do

Strengthen your evaluation by using a mixture of data collection methods to enable you to triangulate your findings.

Steps

The next steps are to:

  1. Collect your data
  2. Analyse the data

How will I collect the data?

Quantitative (numbers) and qualitative (narrative) methods represent different ways data can be collected and used to inform your evaluations. Quantitative data collection methods give numerical results whereas Qualitative data collection methods use narrative or descriptive data rather than numbers. These methods include:

  • Quantitative methods: Structured interviews and questionnaires, monitoring forms, performance data and validated measures
  • Qualitative methods: Interviews (unstructured and semi-structured), observations, focus groups, document reviews

How will I analyse the data?

Data analysis is a process by which the data you have collected is transformed into meaningful and useful information. It can be a very complex process, with many possible approaches that are specific to the data collection methods used.  The trick is to engage your experts and find the right approach to interpreting the data that makes sense in the context in which it is to be used.

The most common analysis of qualitative data is observer impression, which is where the observers (you) examine the data and interpret it via forming an impression, or by using more structured approaches such as thematic analysis.

The analysis of quantitative data can range from simply counting of the number of occurrences and describing what you see (descriptive statistics) to more complex statistical analysis (inferential statistics).  Depending on your own knowledge and skills, the more complex analysis will possibly require the input and support of an experienced researcher, statistician or analyst.

Evaluation Tools & Approaches

This short video covers evaluation tools and approaches in an easy-to-understand format.  It was produced by University of the West of England in collaboration with the West of England Academic Health Science Network.

How?

Toolbox

The following tools are either internal resources developed by the APCRC or external resources we have found useful.

Collecting data

Analysing data

Please note we are not responsible for the content of external sites and are for guidance only.

 

Build on existing data: There’s no need to add yet another complicated data collection system to the pile. Build on what your organisation already has in place, using existing data, and make tweaks to add more insight if necessary

Nesta

Local experts

  • Public Health Data i.e. your Joint Strategic Needs Assessment (JSNA) can be accessed via Public Health Analysts in your Public Health teams within your local Council – Check out our EvidenceWorks toolkit for contact details
  • Performance/contract or benchmarking data can be accessed from Performance analysts / contract managers
  • Statistician or Modelling support from an analyst or statistician you may find these in your CCG,  Public Health Team or University
  • Patient / User Experience and Satisfaction contact your Patient and Public Involvement (PPI) Lead within your organisation
  • Best Practice, Research and Evaluation Evidence – check out our Evidence Works toolkit for more information
  • Improvement and clinical audit data contact your Service/Quality Improvement Team or clinical audit department

Top Tip

It is important to identify and utilise existing (secondary) data, where it is available and of good quality, to avoid duplication and unnecessary data collection (and engage and use your analytical experts!)

Case study: GP Alcohol Liaison Nurse Pilot

GP Alcohol Liaison Nurse Pilot

This case study is the evaluation of a pilot service for a GP Alcohol Liaison  Nurse.    The service was evaluated through its second year, and the evaluation findings were used to inform whether the service was to be fully commissioned following completion of the pilot phase.

See full case study