Evidence map›Paper›PMID 40897478›Full record

ArticleBMJ open2025

Quantifying unmet secondary healthcare need in New Zealand: a multi-year population study using administrative data.

Nicholas Bowden, Jerram Bateman, Robin Gauld

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Nicholas BowdenDepartment of Paediatrics and Child Health, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0000-0003-4589-9956
Jerram BatemanDepartment of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.
Robin GauldDepartment of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand rgauld@bond.edu.au.ORCID http://orcid.org/0000-0001-5401-1192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExamine patterns in declined referrals to secondary healthcare in New Zealand by sociodemographics, region, health specialty and over time, as an important marker of potential unmet healthcare need (UMN) for specialist care. The primary hypothesis was that UMN varies by sociodemographic groups, region and health specialty and has increased over time.

designA repeated cross-sectional analysis using administrative data from the National Patient Flow (NPF) Collection (2018-2022).

settingNationwide, encompassing all first specialist assessments (FSA) referrals to public hospital specialists in New Zealand.

participantsIndividuals referred by general practitioners for FSA. OUTCOME MEASURE: The primary outcome was FSA referrals being declined at prioritisation.

resultsAmong 2 918 557 first referrals for FSA, the observed rate of declined at prioritisation was 13.1%. Among those referred, females had a significantly higher risk of being declined (relative risk (RR), 1.069; 95% CI, 1.062 to 1.075), while those in younger (0-9 years: RR, 0.853; 95% CI, 0.841 to 0.865 and 10-19 years: RR, 0.891; 95% CI, 0.879 to 0.904) and older (80+years: RR, 0.955; 95% CI, 0.944 to 0.967) age groups as well as Māori (RR, 0.817; 95% CI, 0.810 to 0.824) and Pacific peoples (RR, 0.706; 95% CI, 0.695 to 0.716) had a significantly lower risk. There was also significant variation in risk of being declined by region and health specialty. The overall risk of being declined increased by 4.1% annually (RR, 1.041; 95% CI, 1.039 to 1.044). Significant increases in risk of declined over time were also observed across all sociodemographic groups, with higher risks for non-Māori/non-Pacific individuals (RR, 1.045; 95% CI, 1.043 to 1.048) and those in less deprived areas (RR, 1.057; 95% CI, 1.052 to 1.063).

conclusionsUMN in New Zealand has significantly increased, exacerbating health inequities and straining primary care. Policy interventions are urgently needed to address these disparities, particularly in high-risk specialties and populations. This method of quantifying an important marker of UMN may inform global health equity initiatives.

Indexed as

Health Services Needs and DemandReferral and ConsultationSecondary Health CareAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMiddle AgedNew ZealandHealth EquityHealth policyHealth ServicesHealth Services Accessibility

Identifiers

PMID40897478
PMCPMC12406919

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LicenceCC BY-NC
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Registered trials

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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.