BMC Health Services Research (Mar 2022)

The clinically led worforcE and activity redesign (CLEAR) programme: a novel data-driven healthcare improvement methodology

  • Evelyn J. Corner,
  • Matthew Camilleri,
  • Shruti Dholakia,
  • Charlotte Gredal,
  • Tina Hansen,
  • John Jeans,
  • Marie LeNovere,
  • Jacqueline Mallender,
  • Alex Monkhouse,
  • Claire Purkiss,
  • Tai Ken Ting,
  • Cecilia Vindrola-Padros,
  • Stephen Welfare,
  • Danny Wood,
  • James Wood,
  • on behalf of the CLEAR Faculty

DOI
https://doi.org/10.1186/s12913-022-07757-1
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 13

Abstract

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Abstract Background The NHS is facing substantial pressures to recover from the COVID-19 pandemic. Optimising workforce modelling is a fundamental component of the recovery plan. The Clinically Lead workforcE and Activity Redesign (CLEAR) programme is a unique methodology that trains clinicians to redesign services, building intrinsic capacity and capability, optimising patient care and minimising the need for costly external consultancy. This paper describes the CLEAR methodology and the evaluation of previous CLEAR projects, including the return on investment. Methods CLEAR is a work-based learning programme that combines qualitative techniques with data analytics to build innovations and new models of care. It has four unique stages: (1) Clinical engagement- used to gather rich insights from stakeholders and clinicians. (2) Data interrogation- utilising clinical and workforce data for cohort analysis. (3) Innovation- using structured innovation methods to develop new models of care. (4) Recommendations- report writing, impact assessment and presentation of key findings to executive boards. A mixed-methods formative evaluation was carried out on completed projects, which included semi-structured interviews and surveys with CLEAR associates and stakeholders, and a health economic logic model that was developed to link the inputs, processes, outputs and the outcome of CLEAR as well as the potential impacts of the changes identified from the projects. Results CLEAR provides a more cost-effective delivery of complex change programmes than the alternatives – resulting in a cost saving of £1.90 for every £1 spent independent of implementation success. Results suggest that CLEAR recommendations are more likely to be implemented compared to other complex healthcare interventions because of the levels of clinical engagement and have a potential return on investment of up to £14 over 5 years for every £1 invested. CLEAR appears to have a positive impact on staff retention and wellbeing, the cost of a CLEAR project is covered if one medical consultant remains in post for a year. Conclusions The unique CLEAR methodology is a clinically effective and cost-effective complex healthcare innovation that optimises workforce and activity design, as well as improving staff retention. Embedding CLEAR methodology in the NHS could have substantial impact on patient care, staff well-being and service provision.

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