ArticleBMC health services research2024
Improving equitable healthcare resource use: developing a neighbourhood district nurse needs index for staffing allocation.
Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oral Health Interventions in Children With Autism Spectrum Disorder: A Systematic Review and Meta-Analysis of Interventional Studies.Clinical and experimental dental research · 2025Pooled it
- Improving Primary Healthcare: Applying Grapevine (Healthcare (Basel, Switzerland) · 2026Article
- Provision of palliative and end-of-life care by community health nurses: A scoping review on the challenges and potential solutions.International journal of nursing studies advances · 2026Review
- How can integrated neighbourhood teams (INTs) tackle health and care inequalities? A policy evidence brief.Public health in practice (Oxford, England) · 2026Article
- Symbolic dimensions of health economics: connections with nursing work in hospitals.Revista brasileira de enfermagem · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundAllocating healthcare resources to local areas in proportion to need is an important element of many universal health care systems, aiming to provide equal access for equal need. The UK National Health Service allocates resources to relatively large areas in proportion to need, using needs-weighted capitation formulae. However, within those planning areas, local providers and commissioners also require robust methods for allocating resources to neighbourhoods in proportion to need to ensure equitable access. We therefore developed a local resource allocation formula for NHS district nursing services for a City in the North West of England, demonstrating a novel application of the national formulae principles for equitable resource allocation to small areas.
methodsUsing linked data from community health services, primary care, secondary care and social care, we used a zero-inflated Poisson regression to model the number of district nursing services contacts for each individual based on predictors of need, while including the supply of district nurses per head to account for historical supply induced patterns. Individual need was estimated based on the predictions from this model, keeping supply fixed at the average. We then compared the distribution of district nurses between neighbourhoods, based on our formula, to the current service staffing distribution.
resultsKey predictors of need for district nursing services were age, deprivation, chronic diseases such as, cardiovascular disease, chronic liver disease, neurological disease, mental ill health, learning disability living in a nursing home, living alone, and receiving palliative care. Need for district nursing services was highly weighted towards older and more deprived populations. The current distribution of staff was, however, more correlated with age than deprivation. Moving to a needs-based staffing distribution would shift staff from less deprived areas to more deprived areas potentially reducing inequalities.
conclusionA neighbourhood-level model for needs for district nursing is a useful tool that can potentially improve the allocation of resources, addressing unmet need and inequalities.
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Registered trials
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