| Literature DB >> 35291956 |
Jasmina Panovska-Griffiths1, Eszter Szilassy2, Medina Johnson3, Sharon Dixon4, Anna De Simoni5, Vari Wileman5, Anna Dowrick4, Elizabeth Emsley2, Chris Griffiths5, Estela Capelas Barbosa6, Gene Feder2.
Abstract
BACKGROUND: The lockdown periods to curb COVID-19 transmission have made it harder for survivors of domestic violence and abuse (DVA) to disclose abuse and access support services. Our study describes the impact of the first COVID-19 wave and the associated national lockdown in England and Wales on the referrals from general practice to the Identification and Referral to Improve Safety (IRIS) DVA programme. We compare this to the change in referrals in the same months in the previous year, during the school holidays in the 3 years preceding the pandemic and the period just after the first COVID-19 wave. School holiday periods were chosen as a comparator, since families, including the perpetrator, are together, affecting access to services.Entities:
Keywords: COVID-19 pandemic; Domestic violence and abuse; Domestic violence and abuse referrals; General practice; Interrupted-time series analysis; Non-linear regression; Primary care; School holidays
Mesh:
Year: 2022 PMID: 35291956 PMCID: PMC8922060 DOI: 10.1186/s12889-022-12825-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Timeline and reported mean number of referrals over different time periods that represent the Spring, Summer and Winter schools holidays in 2017–2019 and the period of the first national lockdown due to COVID-19 in 2020. These times are labelled in Fig. 1
| Scenario (duration) | Start date | End date | Referral rate: mean [bias-corrected bootstrapped CI] | ||
|---|---|---|---|---|---|
| Over period before school holidays or lockdown | During period of school holidays or lockdown | Over period post school holidays or lockdown | |||
| Spring 2017 (12 days) | 10.04.17 | 21.04.17 | 13 [3.48,22.52] | 12.35 [11.52,13.22] | 12.11 [11.14,13.08] |
| Summer 2017 (37 days) | 26.07.17 | 01.09.17 | 11.23 [10.83,11.62] | 9.7 [9.26,10.13] | 11.4 [10.93,11.87] |
| Winter 2017 (17 days) | 21.12.17 | 07.01.17 | 9.188 [9.637,9.743] | 7.7 [6.723,8.676] | 13.02 [11.926,14.078] |
| Spring 2018 (19 days) | 29.03.18 | 16.04.18 | 11.58 [10.56,12.61] | 9.33 [8,78,9.89] | 10.5 [9.89,11.11] |
| Summer 2018 (48 days) | 20.07.18 | 05.09.18 | 12.63 [11.92,13.35] | 10.43 [0.46,11.82] | 15.44 [14.75,16.14] |
| Winter 2018 (15 days) | 19.12.18 | 03.01.19 | 14.62 [13.29,15.94] | 12.3 [10.29,14.31] | 12.25 [11.57,12.92] |
| Spring 2019 (15 days) | 13.04.19 | 28.04.19 | 16.89 [15.54, 18.25] | 14.14 [13.18 15.11] | 13.1 [12.22,13.78] |
| Summer 2019 (48 days) | 20.07.19 | 06.09.19 | 13.27 [12.67,13.87] | 12.06 [11.45,12.67] | 15.54 [14.62,16.47] |
| Winter 2019 (17 days) | 20.12.19 | 06.01.20 | 16.36 [15.12,17.60] | 9.27 [7.52,11.02] | 18.05 [17.01,19.09] |
| March–June 2020 (1st national lockdown) (68 days) | 23.03.20 | 01.06.20 | 16.98 [16.18,17.78] | 11.25 [10.33,15.14] | 14.23 [13.34,15.14] |
| March–June 2019 (analogous period to 1st lockdown) (68 days) | 23.03.19 | 01.06.19 | 14.86 [14.24,15.48] | 13.81 [13.18,14.44] | 13.21 [12.79,13.62] |
| Summer 2020 (42 days) | 20.07.20 | 01.09.20 | 15.54 [14.76,16.32] | 10.28 [9.68,10.89] | 11.18 [10.71,11.65] |
Fig. 1Timeseries of referrals to DVA services as a 7-day rolling average over the period April 2017 to September 2020. The solid vertical lines represent the start and end of the first national lockdown due to COVID-19 transmission in 2020. We observe a large decline in the number of referrals during the first national lockdown and a slower increase after the relaxing of the lockdown measures. There is also an observed decline in referrals during the schools holidays in 2019, but this decline is smaller than during the first national lockdown
Results from the statistical analysis showing the impact of the school holidays and the first national lockdown on the number of referrals to DVA services
| Scenario | Incidence Rate Ratio [95% CI] | Bootstrap Standard error | |
|---|---|---|---|
| Spring 2017 | 0.929 [0.691,1.25] | 0.141 | 0.630 |
| Summer 2017 | 0.865 [0.755,0.994] | 0.059 | 0.036 |
| Winter 2017 | 0.811 [0.561,0.902] | 0.087 | 0.005 |
| Spring 2018 | 0.837 [0.690,1.017] | 0.083 | 0.073 |
| Summer 2018 | 0.871 [0.789,0.962] | 0.044 | 0.007 |
| Winter 2018 | 0.956 [0.791,1.156] | 0.092 | 0.646 |
| Spring 2019 | 0.948 [0.827, 1.087] | 0.066 | 0.447 |
| Summer 2019 | 0.849 [0.771, 0.937] | 0.043 | 0.001 |
| Winter 2019 | 0.557 [0.457, 0.680] | 0.056 | |
| March–June 2020 (1st lockdown) | 0.727 [0.661, 0.787] | 0.032 | |
| March–June 2019 (analogous period to 1st lockdown) | 0.984 [0.905, 1.068] | 0.042 | 0.707 |
| Summer 2020 | 0.797 [0.707,0.898] | 0.048 |
Fig. 2Box-plot of the impact of the schools holidays and the 1st National lockdown. The plot shows the Incidence Rate Ratios (IRR), as mean value, and the 95% Confidence Intervals, as whiskers, across the different scenarios. The decline in the number of referrals corresponds to IRR < 1 i.e. below the red horizontal line on the plot