Evidence map›Paper›PMID 39439774›Full record

ArticleJournal of the Royal Society of New Zealand2024

Building sustainable health data capability in Aotearoa New Zealand: opportunities and challenges highlighted through COVID-19.

Giulio Valentino Dalla Riva, Shaun Hendy, Kevin Ross, Andrew Sporle

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Giulio Valentino Dalla RivaSchool of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.ORCID https://orcid.org/0000-0002-3454-0633
Shaun HendyDepartment of Statistics, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-3468-6517
Kevin RossOrion Health, Auckland, New Zealand.
Andrew SporleDepartment of Statistics, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-1620-473X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aotearoa New Zealand should take the opportunity created by national health reforms to learn from experience with COVID-19, creating a world-class health system that utilises data and modelling effectively. For this to happen, we must build upon a foundation of equity, ethics, trust and transparency and ensure we have the right tools and processes in place for our researchers and practitioners to translate insights into better outcomes for all.

Indexed as

consentdata ethicsData managementequityhealth

Identifiers

PMID39439774
PMCPMC11459823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.