Evidence map›Paper›PMID 40721997›Full record

Trial reportBMC primary care2025

Baseline cohort data from HARMONY, a cluster randomised controlled trial of culturally safe domestic violence management in general practice.

Angela J Taft, Felicity Young, Kelsey L Hegarty, Jane Yelland, Danielle Mazza, Douglas Boyle, Richard Norman, Claudia García-Moreno, Cattram Nguyen, Xia Li and 3 more

Abstract readRandomized Controlled TrialPragmatic Clinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Review
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

13 authors.

Angela J TaftJudith Lumley Centre, La Trobe University, Bundoora, Vic, 3086, Australia. a.taft@latrobe.edu.au.ORCID 0000-0002-6350-843X
Felicity YoungJudith Lumley Centre, La Trobe University, Bundoora, Vic, 3086, Australia.
Kelsey L HegartyDepartment of General Practice and Primary Care, University of Melbourne, Parkville, Australia.
Jane YellandMurdoch Children's Research Institute, Parkville, Melbourne, Australia.
Danielle MazzaDepartment of General Practice, Monash University, Melbourne, Australia.
Douglas BoyleDepartment of General Practice and Primary Care, University of Melbourne, Parkville, Australia.
Richard NormanCurtin University, Perth, WA, Australia.
Claudia García-MorenoDepartment of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
Cattram NguyenMurdoch Children's Research Institute, Melbourne, Australia.
Xia LiStatistics Department, La Trobe University, Melbourne, Australia.
Bijaya PokharelJudith Lumley Centre, La Trobe University, Bundoora, Vic, 3086, Australia.
Molly Allen LeapJudith Lumley Centre, La Trobe University, Bundoora, Vic, 3086, Australia.
Gene FederCentre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, England.

Funding

National Health and Medical Research Council 1134477World Health Organization 001
6 · The paper itself

Abstract

backgroundDomestic violence and abuse (DVA) is a globally prevalent, health damaging problem. In high income countries, migrant /refugee populations from low/middle income countries often consist of young families. DVA is more prevalent, and barriers to disclosure greater among migrant/refugee than native-born families. Consequently, general practice (GP) patient populations are increasingly diverse, but evidence for culturally safe and effective GP management is minimal. The HARMONY study tested a culturally safe DVA intervention to improve GP identification and referral among South Asian families.

methodsHARMONY was a pragmatic cluster RCT in 19 GP clinics in two regions of Melbourne, Australia. Eligible practices required ≥ 1 South Asian GP; used one of two common software programs; and agreed to have GrHanite™ software on practice computers. This analysis investigated baseline DVA and ethnicity identification in routine electronic GP data. Deidentified aggregated data for female patients aged ≥ 18 with DVA identification, referral, and South Asian ethnicity data were extracted from medical records. Chi Square for comparison of proportions.

resultsTwenty-four clinics were recruited and randomised, but five dropped out due to Covid. Fifty-two percent (50/96) of 19 clinics' staff were South Asian. While 46.7% of female patients (21,220/45,438) were aged 26-45 years, 17.6% (7,874/45,438) were South Asian. There were more South Asian patients in Comparison 20.6% (4,193/20,312) than Intervention 14.7% (3,681/25,126) clinics. South Asian women had less access to Medicare (83% vs 97%) and pensions (13% vs 22%). At baseline, clinicians recorded 0.58% (265/45,438) DVA-affected women. Notably, they identified fewer South Asian (0.38%) (28/7,874) than non-South Asian women experiencing DVA (0.63%) (237/37,564),-0.28% (0.12%-0.43%), p = 0.004. No referrals were identified.

conclusionDVA was notably under-identified in these patient populations, but worse among South-Asian female patients. While almost one in six of HARMONY's female population were South Asian, fewer than four in 1000 South Asian women were identified as experiencing DVA. Greater effort to regularly train and to support GP clinics to better identify DVA is vital but even more important in diverse communities to provide culturally safe DVA identification, care and documentation.

trial registrationACTRN12618001845224 on 13/11/2018.

Indexed as

Culturally Competent CareDomestic ViolenceGeneral PracticeAdultAustraliaFemaleHumansMaleMiddle AgedReferral and ConsultationYoung AdultCluster randomised controlled trialCultural safetyDomestic violenceEthnicityGeneral practice

Identifiers

PMID40721997
PMCPMC12302802

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.