Evidence map›Paper›PMID 38344112›Full record

ArticleInternational journal of telemedicine and applications2024

Enhancing Aotearoa, New Zealand's Free Healthline Service through Image Upload Technology.

Miriama K Wilson, Fiona Pienaar, Ruth Large, Matt Wright, Verity F Todd

Abstract read
In one paragraph

Article in International journal of telemedicine and applications, 2024. 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

5 authors.

Miriama K WilsonParamedicine Research Unit, Department of Paramedicine, Faculty of Health and Environmental Sciences, Auckland University of Technology, 649 Great South Road, Manukau, Auckland 2104, New Zealand.ORCID https://orcid.org/0009-0002-2983-8504
Fiona PienaarWhakarongorau Aotearoa/New Zealand Telehealth Services, Auckland, New Zealand.
Ruth LargeWhakarongorau Aotearoa/New Zealand Telehealth Services, Auckland, New Zealand.ORCID https://orcid.org/0009-0008-9053-1572
Matt WrightWhakarongorau Aotearoa/New Zealand Telehealth Services, Auckland, New Zealand.
Verity F ToddParamedicine Research Unit, Department of Paramedicine, Faculty of Health and Environmental Sciences, Auckland University of Technology, 649 Great South Road, Manukau, Auckland 2104, New Zealand.ORCID https://orcid.org/0000-0003-4786-8272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthline is one of the 39 free telehealth services that Whakarongorau Aotearoa/New Zealand Telehealth Services provides to New Zealanders. In early 2021, an image upload system for viewing service user-uploaded images was implemented into the Healthline service. Aims: The aim of this research was to understand the utilisation of Healthline's image upload system by clinicians and service users in New Zealand. Methods: This is a retrospective observational study analysing Healthline image upload data over a two-year period: March 2021 through to December 2022. A total of 40,045 images were analysed, including demographics of the service users who uploaded an image: ethnicity, age group, and area of residence. The outcome or recommendation of the Healthline call was also assessed based on whether an image was included. Results: Images uploaded accounted for 6.0% of total Healthline calls ( Conclusion: Service users who did not upload an image had a higher proportion of Emergency Department outcomes than service users who did use the tool. This image upload tool has shown the potential to decrease stress on Emergency Departments around Aotearoa, New Zealand, through increased lower acuity outcomes.

Identifiers

PMID38344112
PMCPMC10857879

What OpenQuestion holds

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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.