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Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation

BACKGROUND: Domestic violence and abuse (DVA) is experienced by about 1/3 of women globally and remains a major health concern worldwide. IRIS (Identification and Referral to Improve Safety of women affected by DVA) is a complex, system-level, training and support programme, designed to improve the...

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Autores principales: Panovska-Griffiths, Jasmina, Sohal, Alex Hardip, Martin, Peter, Capelas, Estela Barbosa, Johnson, Medina, Howell, Annie, Lewis, Natalia V, Feder, Gene, Griffiths, Chris, Eldridge, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309975/
https://www.ncbi.nlm.nih.gov/pubmed/32571378
http://dx.doi.org/10.1186/s12913-020-05397-x
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author Panovska-Griffiths, Jasmina
Sohal, Alex Hardip
Martin, Peter
Capelas, Estela Barbosa
Johnson, Medina
Howell, Annie
Lewis, Natalia V
Feder, Gene
Griffiths, Chris
Eldridge, Sandra
author_facet Panovska-Griffiths, Jasmina
Sohal, Alex Hardip
Martin, Peter
Capelas, Estela Barbosa
Johnson, Medina
Howell, Annie
Lewis, Natalia V
Feder, Gene
Griffiths, Chris
Eldridge, Sandra
author_sort Panovska-Griffiths, Jasmina
collection PubMed
description BACKGROUND: Domestic violence and abuse (DVA) is experienced by about 1/3 of women globally and remains a major health concern worldwide. IRIS (Identification and Referral to Improve Safety of women affected by DVA) is a complex, system-level, training and support programme, designed to improve the primary healthcare response to DVA. Following a successful trial in England, since 2011 IRIS has been implemented in eleven London boroughs. In two boroughs the service was disrupted temporarily. This study evaluates the impact of that service disruption. METHODS: We used anonymised data on daily referrals received by DVA service providers from general practices in two IRIS implementation boroughs that had service disruption for a period of time (six and three months). In line with previous work we refer to these as boroughs B and C. The primary outcome was the number of daily referrals received by the DVA service provider across each borough over 48 months (March 2013–April 2017) in borough B and 42 months (October 2013–April 2017) in borough C. The data were analysed using interrupted-time series, non-linear regression with sensitivity analyses exploring different regression models. Incidence Rate Ratio (IRR), 95% confidence intervals and p-values associated with the disruption were reported for each borough. RESULTS: A mixed-effects negative binomial regression was the best fit model to the data. In borough B, the disruption, lasted for about six months, reducing the referral rate significantly (p = 0.006) by about 70% (95%CI = (23,87%)). In borough C, the three-month service disruption, also significantly (p = 0.005), reduced the referral rate by about 49% (95% CI = (18,68%)). CONCLUSIONS: Disrupting the IRIS service substantially reduced the rate of referrals to DVA service providers. Our findings are evidence in favour of continuous funding and staffing of IRIS as a system level programme.
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spelling pubmed-73099752020-06-23 Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation Panovska-Griffiths, Jasmina Sohal, Alex Hardip Martin, Peter Capelas, Estela Barbosa Johnson, Medina Howell, Annie Lewis, Natalia V Feder, Gene Griffiths, Chris Eldridge, Sandra BMC Health Serv Res Research Article BACKGROUND: Domestic violence and abuse (DVA) is experienced by about 1/3 of women globally and remains a major health concern worldwide. IRIS (Identification and Referral to Improve Safety of women affected by DVA) is a complex, system-level, training and support programme, designed to improve the primary healthcare response to DVA. Following a successful trial in England, since 2011 IRIS has been implemented in eleven London boroughs. In two boroughs the service was disrupted temporarily. This study evaluates the impact of that service disruption. METHODS: We used anonymised data on daily referrals received by DVA service providers from general practices in two IRIS implementation boroughs that had service disruption for a period of time (six and three months). In line with previous work we refer to these as boroughs B and C. The primary outcome was the number of daily referrals received by the DVA service provider across each borough over 48 months (March 2013–April 2017) in borough B and 42 months (October 2013–April 2017) in borough C. The data were analysed using interrupted-time series, non-linear regression with sensitivity analyses exploring different regression models. Incidence Rate Ratio (IRR), 95% confidence intervals and p-values associated with the disruption were reported for each borough. RESULTS: A mixed-effects negative binomial regression was the best fit model to the data. In borough B, the disruption, lasted for about six months, reducing the referral rate significantly (p = 0.006) by about 70% (95%CI = (23,87%)). In borough C, the three-month service disruption, also significantly (p = 0.005), reduced the referral rate by about 49% (95% CI = (18,68%)). CONCLUSIONS: Disrupting the IRIS service substantially reduced the rate of referrals to DVA service providers. Our findings are evidence in favour of continuous funding and staffing of IRIS as a system level programme. BioMed Central 2020-06-22 /pmc/articles/PMC7309975/ /pubmed/32571378 http://dx.doi.org/10.1186/s12913-020-05397-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Panovska-Griffiths, Jasmina
Sohal, Alex Hardip
Martin, Peter
Capelas, Estela Barbosa
Johnson, Medina
Howell, Annie
Lewis, Natalia V
Feder, Gene
Griffiths, Chris
Eldridge, Sandra
Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation
title Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation
title_full Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation
title_fullStr Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation
title_full_unstemmed Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation
title_short Disruption of a primary health care domestic violence and abuse service in two London boroughs: interrupted time series evaluation
title_sort disruption of a primary health care domestic violence and abuse service in two london boroughs: interrupted time series evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309975/
https://www.ncbi.nlm.nih.gov/pubmed/32571378
http://dx.doi.org/10.1186/s12913-020-05397-x
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