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Challenge

Suffolk County Council required a more robust and evidence-based understanding of workforce demand, caseload distribution and service delivery across Health Visiting teams. Existing workforce planning approaches provided limited visibility of how population demographics, deprivation, clinical workload and service complexity were impacting staffing requirements across different localities.

There was a need to better understand variation in caseloads, workforce allocation and clinical demand across teams whilst ensuring that staffing models aligned appropriately with mandated contacts, targeted interventions and specialist workload. The organisation also wanted greater visibility of the relationship between population need, workforce capacity and operational delivery in order to support future workforce planning and service sustainability.

Approach

Benson implemented a detailed workforce modelling and operational planning framework for Health Visiting services, integrating population, workforce and clinical workload data into a single analytical model. The solution combined demographic analysis, deprivation profiles, service templates, clinical allocation modelling and workforce capacity calculations to create a comprehensive operational view of the service. :contentReference[oaicite:0]{index=0}

The reporting framework enabled teams to analyse eligible population demand, births, deprivation, caseload distribution and workload complexity across all localities. Detailed workforce modelling provided visibility of baseline staffing, theoretic capacity, optimum staffing levels and workforce gaps by role and team. The model incorporated mandated, community, targeted and complex clinical activity alongside travel time, admin allowances and service recurrence patterns to estimate workforce requirements more accurately.

Interactive reporting enabled operational leads to explore workload allocation across Health Visitors, Clinical Staff Nurses, HCP Assistants and specialist practitioners, whilst comparing optimum caseloads against existing staffing and budgeted establishments. The framework also supported analysis of clinical hours per child, complexity weighting, service allocation and workforce deployment across different population groups and pathways.

Outcomes

• Creation of a single workforce planning and operational modelling framework for Health Visiting services
• Improved visibility of population demand, deprivation and caseload variation across teams
• Identification of workforce gaps and variation between budgeted, in-post and optimum staffing levels
• Enhanced understanding of workload complexity and clinical allocation by service group
• Better visibility of workforce utilisation across mandated, targeted, community and specialist activity
• Standardised modelling of clinical workload, travel time and workforce capacity
• Improved operational oversight of staffing requirements and service sustainability
• Evidence-based support for future workforce optimisation and service redesign

Impact

The project provided Suffolk County Council with a significantly more detailed and transparent understanding of Health Visiting demand, workforce capacity and operational delivery across services. By integrating workforce, population and workload modelling into a single framework, the organisation was able to move towards a more evidence-based approach to workforce planning and caseload management.

The model enabled operational and strategic leads to identify variation in workload and staffing requirements across teams, supporting more informed decision making around workforce deployment, service sustainability and future investment priorities. The reporting framework also established a scalable foundation for ongoing workforce optimisation, service transformation and population-based planning across Public Health Nursing services.

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