Improving the healthcare response to domestic violence and abuse in UK primary care: interrupted time series evaluation of a system-level training and support programme.


Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
05 03 2020
Historique:
received: 28 02 2019
accepted: 30 01 2020
entrez: 6 3 2020
pubmed: 7 3 2020
medline: 23 9 2020
Statut: epublish

Résumé

It is unknown whether interventions known to improve the healthcare response to domestic violence and abuse (DVA)-a global health concern-are effective outside of a trial. An observational interrupted time series study in general practice. All registered women aged 16 and above were eligible for inclusion. In four implementation boroughs' general practices, there was face-to-face, practice-based, clinically relevant DVA training, a prompt in the electronic medical record, reminding clinicians to consider DVA, a simple referral pathway to a named advocate, ensuring direct access for women to specialist services, overseen by a national, health-focused DVA organisation, fostering best practice. The fifth comparator borough had only a session delivered by a local DVA specialist agency at community venues conveying information to clinicians. The primary outcome was the daily number of referrals received by DVA workers per 1000 women registered in a general practice, from 205 general practices, in all five northeast London boroughs. The secondary outcome was recorded new DVA cases in the electronic medical record in two boroughs. Data was analysed using an interrupted time series with a mixed effects Poisson regression model. In the 144 general practices in the four implementation boroughs, there was a significant increase in referrals received by DVA workers-global incidence rate ratio of 30.24 (95% CI 20.55 to 44.77, p < 0.001). There was no increase in the 61 general practices in the other comparator borough (incidence rate ratio of 0.95, 95% CI 0.13 to 6.84, p = 0.959). New DVA cases recorded significantly increased with an incident rate ratio of 1.27 (95% CI 1.09 to 1.48, p < 0.002) in the implementation borough but not in the comparator borough (incidence rate ratio of 1.05, 95% CI 0.82 to 1.34, p = 0.699). Implementing integrated referral routes, training and system-level support, guided by a national health-focused DVA organisation, outside of a trial setting, was effective and sustainable at scale, over four years (2012 to 2017) increasing referrals to DVA workers and new DVA cases recorded in electronic medical records.

Sections du résumé

BACKGROUND
It is unknown whether interventions known to improve the healthcare response to domestic violence and abuse (DVA)-a global health concern-are effective outside of a trial.
METHODS
An observational interrupted time series study in general practice. All registered women aged 16 and above were eligible for inclusion. In four implementation boroughs' general practices, there was face-to-face, practice-based, clinically relevant DVA training, a prompt in the electronic medical record, reminding clinicians to consider DVA, a simple referral pathway to a named advocate, ensuring direct access for women to specialist services, overseen by a national, health-focused DVA organisation, fostering best practice. The fifth comparator borough had only a session delivered by a local DVA specialist agency at community venues conveying information to clinicians. The primary outcome was the daily number of referrals received by DVA workers per 1000 women registered in a general practice, from 205 general practices, in all five northeast London boroughs. The secondary outcome was recorded new DVA cases in the electronic medical record in two boroughs. Data was analysed using an interrupted time series with a mixed effects Poisson regression model.
RESULTS
In the 144 general practices in the four implementation boroughs, there was a significant increase in referrals received by DVA workers-global incidence rate ratio of 30.24 (95% CI 20.55 to 44.77, p < 0.001). There was no increase in the 61 general practices in the other comparator borough (incidence rate ratio of 0.95, 95% CI 0.13 to 6.84, p = 0.959). New DVA cases recorded significantly increased with an incident rate ratio of 1.27 (95% CI 1.09 to 1.48, p < 0.002) in the implementation borough but not in the comparator borough (incidence rate ratio of 1.05, 95% CI 0.82 to 1.34, p = 0.699).
CONCLUSIONS
Implementing integrated referral routes, training and system-level support, guided by a national health-focused DVA organisation, outside of a trial setting, was effective and sustainable at scale, over four years (2012 to 2017) increasing referrals to DVA workers and new DVA cases recorded in electronic medical records.

Identifiants

pubmed: 32131828
doi: 10.1186/s12916-020-1506-3
pii: 10.1186/s12916-020-1506-3
pmc: PMC7057596
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

48

Subventions

Organisme : National Institute for Health Research
ID : CLAHRC North Thames
Pays : International

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Auteurs

Alex Hardip Sohal (AH)

Institute of Population Health Sciences, Queen Mary University of London, London, UK. ahsohal@yahoo.co.uk.

Gene Feder (G)

Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Kambiz Boomla (K)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.

Anna Dowrick (A)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.

Richard Hooper (R)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.

Annie Howell (A)

IRISi, Bristol, England.

Medina Johnson (M)

IRISi, Bristol, England.

Natalia Lewis (N)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.
Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Clare Robinson (C)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.

Sandra Eldridge (S)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.

Chris Griffiths (C)

Institute of Population Health Sciences, Queen Mary University of London, London, UK.

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