Evidence map›Paper›PMID 42853548›Full record

ArticleJournal of immigrant and minority health2026

Blind Spots in the Hospital: An Absence of CALD Data.

Ortis Estacio, Marlies Iserlohe, Meng Tuck Mok, Vijaya Joshi, Niall C Tebbutt, Umbreen Hafeez

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Article in Journal of immigrant and minority health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

6 authors.

Ortis EstacioAustin Health, Melbourne, Australia. ortis.estacio2@austin.org.au.
Marlies IserloheAustin Health, Melbourne, Australia.
Meng Tuck MokVictorian Comprehensive Cancer Centre, Melbourne, Australia.
Vijaya JoshiVictorian Comprehensive Cancer Centre, Melbourne, Australia.
Niall C TebbuttAustin Health, Melbourne, Australia.
Umbreen HafeezAustin Health, Melbourne, Australia. Umbreen.HAFEEZ@austin.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate collection of culturally and linguistically diverse (CALD) data is essential for equitable healthcare delivery in multicultural settings, yet uptake of the Australian Bureau of Statistics (ABS) recommended core indicators across health services remains inconsistent. We conducted a mixed-methods study at a tertiary cancer centre to assess the completeness of CALD data collection and to explore perspectives from both staff and CALD community members. Quantitative analysis involved an audit of outpatient electronic medical records from January to December 2023, alongside a review of institutional policies, while qualitative data were obtained through surveys and interviews with administrative staff and focus groups with Mandarin, Arabic, and Greek-speaking community members. Among 7,243 outpatients, only three of four ABS minimum core indicators and one of eight standard CALD indicators were routinely collected. Incomplete data ("other" responses) were more frequent among patients born in non-English-speaking countries (26% vs. 13%, p < 0.0001) and those whose preferred language was not English (32% vs. 15%, p < 0.0001). Policy review identified limited guidance on CALD classification, and staff reported minimal CALD specific training, unclear responsibilities, and time pressures as key barriers to accurate data collection. Community participants identified language and interpreter need as the most meaningful indicators for clinical care. Overall, CALD data collection was found to be inconsistent and incomplete, limiting the capacity of health services to deliver equitable care and undertake informed service planning. Training, clearer protocols, and inclusion of broader indicators (e.g. ethnicity, year of arrival) could strengthen the responsiveness of health services to diverse populations.

Indexed as

Cultural diversityCulturally and linguistically diverse (CALD)Data CollectionHealth data qualityHealth equityMigrant HealthMixed methods

Identifiers

PMID42853548

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.