Evidence map›Paper›PMID 38081663›Full record

ArticleBMJ open2023

How did New Zealand's regional District Health Board groupings work to improve service integration and health outcomes: a realist evaluation.

Erin Penno, Carol Atmore, Brett Maclennan, Lauralie Richard, Emma Wyeth, Rosalina Richards, Fiona Doolan-Noble, Andrew R Gray, Trudy Sullivan, Robin Gauld and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2023. 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

11 authors.

Erin PennoDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Carol AtmoreDepartment of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-4031-7016
Brett MaclennanNgāi Tahu Māori Health Research Unit, Division of Health Sciences, University of Otago, Dunedin, New Zealand.
Lauralie RichardDepartment of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-2497-3857
Emma WyethNgāi Tahu Māori Health Research Unit, Division of Health Sciences, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-6869-5190
Rosalina RichardsCentre for Pacific Health, Va'a o Tautai, Division of Health Sciences, University of Otago, Dunedin, New Zealand.
Fiona Doolan-NobleDepartment of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Andrew R GrayBiostatistics Centre, Division of Health Sciences, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-4299-2194
Trudy SullivanDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.ORCID 0000-0001-8452-2591
Robin GauldDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.ORCID 0000-0001-5401-1192
Tim StokesDepartment of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand tim.stokes@otago.ac.nz.ORCID 0000-0002-1127-1952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn Aotearoa New Zealand (NZ), integration across the healthcare continuum has been a key approach to strengthening the health system and improving health outcomes. A key example has been four regional District Health Board (DHB) groupings, which, from 2011 to 2022, required the country's 20 DHBs to work together regionally. This research explores how this initiative functioned, examining how, for whom and in what circumstances regional DHB groupings worked to deliver improvements in system integration and health outcomes and equity.

designWe used a realist-informed evaluation study design. We used documentary analysis to develop programme logic models to describe the context, structure, capabilities, implementation activities and impact of each of the four regional groupings and then conducted interviews with stakeholders. We developed a generalised context-mechanisms-outcomes model, identifying key commonalities explaining how regional work 'worked' across NZ while noting important regional differences.

settingNZ's four regional DHB groupings.

participantsForty-nine stakeholders from across the four regional groupings. These included regional DHB governance groups and coordinating regional agencies, DHB senior leadership, Māori and Pasifika leadership and lead clinicians for regional work streams.

resultsRegional DHB working was layered on top of an already complex DHB environment. Organisational heterogeneity and tensions between local and regional priorities were key contextual factors. In response, regional DHB groupings leveraged a combination of 'hard' policy and planning processes, as well as 'soft', relationship-based mechanisms, aiming to improve system integration, population health outcomes and health equity.

conclusionThe complexity of DHB regional working meant that success hinged on building relationships, leadership and trust, alongside robust planning and process mechanisms. As NZ reorients its health system towards a more centralised model underpinned by collaborations between local providers, our findings point to a need to align policy expectations and foster environments that support connection and collegiality across the health system.

Indexed as

Delivery of Health CareHealth PolicyLeadershipMaori PeopleHumansNew Zealandhealth services administration & managementorganisation of health servicesqualitative research

Identifiers

PMID38081663
PMCPMC10729044

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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.