Evidence map›Paper›PMID 31391127›Full record

ArticleThe British journal of psychiatry : the journal of mental science2020

Estimating local need for mental healthcare to inform fair resource allocation in the NHS in England: cross-sectional analysis of national administrative data linked at person level.

Laura Anselmi, Anna Everton, Robert Shaw, Wataru Suzuki, Jeremy Burrows, Richard Weir, Roman Tatarek-Gintowt, Matt Sutton, Stephen Lorrimer

Open access · hybridAbstract read
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Workload and funding in general practice: a nationwide cross-sectional study in England.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Use of past care markers in risk-adjustment: accounting for systematic differences across providers.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Laura AnselmiResearch Fellow, Health Organisation, Policy and Economics, University of Manchester, UK.ORCID 0000-0002-2499-7656
Anna EvertonSenior Analytical Lead, Analysis and Insight for Finance, NHS England, UK.
Robert ShawLead Analysis (forecasting), Analytical Insight Resource Unit, NHS England, UK.
Wataru SuzukiSenior Manager, Operations & Information Directorate, NHS England, UK.
Jeremy BurrowsSenior Analytical Manager, Analysis and Insight for Finance, NHS England, UK.
Richard WeirAnalysis and Insight for Finance, NHS England, UK.
Roman Tatarek-GintowtAnalyst, Analysis and Insight for Finance, NHS England, UK.
Matt SuttonProfessor of Health Economics, Health Organisation, Policy and Economics, University of Manchester, UK; and Professorial Research Fellow, Melbourne Institute for Applied Economic and Social Research, University of Melbourne, Australia.
Stephen LorrimerHead of Analysis and Insight for Finance, NHS England, UK.
NHS EnglandNHS Digital · GBThe University of Melbourne · AUUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEquitable access to mental healthcare is a priority for many countries. The National Health Service in England uses a weighted capitation formula to ensure that the geographical distribution of resources reflects need.

aimsTo produce a revised formula for estimating local need for secondary mental health, learning disability (intellectual disability) and psychological therapies services for adults in England.

methodWe used demographic records for 43 751 535 adults registered with a primary care practitioner in England linked with service use, ethnicity, physical health diagnoses and type of household, from multiple data-sets. Using linear regression, we estimated the individual cost of care in 2015 as a function of individual- and area-level need and supply variables in 2013 and 2014. We sterilised the effects of the supply variables to obtain individual-need estimates. We aggregated these by general practitioner practice, age and gender to derive weights for the national capitation formula.

resultsHigher costs were associated with: being 30-50 years old, compared with 20-24; being Irish, Black African, Black Caribbean or of mixed ethnicity, compared with White British; having been admitted for specific physical health conditions, including drug poisoning; living alone, in a care home or in a communal environment; and living in areas with a higher percentage of out-of-work benefit recipients and higher prevalence of severe mental illness. Longer distance from a provider was associated with lower cost.

conclusionsThe resulting needs weights were higher in more deprived areas and informed the distribution of some 12% (£9 bn in 2019/20) of the health budget allocated to local organisations for 2019/20 to 2023/24.

Indexed as

Resource AllocationAdolescentAdultAgedAged, 80 and overChildCross-Sectional StudiesEnglandFemaleHealth Services Needs and DemandHumansMaleMental Health ServicesMiddle AgedState MedicineYoung AdultcostMental healthneedweighted capitation

Identifiers

PMID31391127
PMCPMC7511896
OpenAlexW2955423495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.