| Literature DB >> 36096766 |
Elizabeth McLindon1, Kristin Diemer2, Jacqueline Kuruppu2, Anneliese Spiteri-Staines2, Kelsey Hegarty2.
Abstract
BACKGROUND: Domestic and family violence (DFV), including intimate partner violence (IPV), sexual assault and child abuse are prevalent health and social issues, often precipitating contact with health services. Nurses, midwives and carers are frontline responders to women and children who have experienced violence, with some research suggesting that health professionals themselves may report a higher incidence of IPV in their personal lives compared to the community. This paper reports the largest study of DFV against health professionals to date.Entities:
Keywords: Child abuse; Cross-sectional survey; Health professionals; Health services; Intimate partner violence; Midwifery; Nursing; Sexual assault
Mesh:
Year: 2022 PMID: 36096766 PMCID: PMC9469630 DOI: 10.1186/s12889-022-14045-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Survey measures
| Variables | Source measure | Number of survey items |
|---|---|---|
| Demographics | Australian Bureau of Statistics Personal Safety Survey (ABS PSS) [ | 12 |
| Physical & emotional health | SF-12 [ | 12 |
| Depression | PHQ-4 [ | 2 |
| Anxiety | PHQ-4 [ | 2 |
| Posttraumatic stress disorder | Short Screening Scale for DSM-IV Posttraumatic Stress Disorder [ | 7 |
| Hazardous alcohol consumption | FAST [ | 4 |
| 12-month & adult lifetime IPV | CAS [ | 36 |
| 12-month & adult lifetime IPV perpetration | Bespoke | 5 |
| Physical & sexual child abuse | ABS PSS [ | 4 |
| Witnessing FV | WAV Project [ | 1 |
| Non-partner sexual assault | ABS PSS [ | 5 |
| Digital abuse | TAR Scale [ | 2 |
| Reproductive coercion | Bespoke | 2 |
| Workplace impacts of IPV | DV and the Canadian Workplace Survey [ | 11 |
| Health & specialist service use | Bespoke | 20 |
| Resiliency | CD-RISC2 [ | 2 |
| Advocacy & support | Bespoke (open-ended questions) | 5 |
Demographic characteristics of participants compared to the broader ANMF (Vic Branch) and Australian population
| Characteristic | No. (%) of all participants | No. (%) of women participants | No. (%) of men participants | No. (%) of ANMF member population | ABS PSS population % | Australian population % |
|---|---|---|---|---|---|---|
| 10,629 (92.7) | 772 (6.7) | ** | ||||
| Female | 10,629 (92.7) | – | – | 79,264 (91.0) | 15,589 | ** |
| Male | 772 (6.7) | – | – | 7790 (8.9) | 5653 | ** |
| Non-binary | 13 (0.1) | – | – | ** | ** | ** |
| Preferred not to say | 51 (0.4) | – | – | ** | ** | ** |
| ( | ( | ( | ||||
| < 30 | 1189 (10.5) | 1109 (10.5) | 75 (9.9) | 16,098 (18.5) | 15.3 | 21.8 |
| 30-39 | 2113 (18.7) | 1937 (18.4) | 167 (22.0) | 23,015 (26.4) | 19.3 | 18.4 |
| 40-49 | 2401 (21.2) | 2213 (21.0) | 173 (22.8) | 17,689 (20.3) | 18.3 | 17.3 |
| 50-59 | 3399 (30.0) | 3182 (30.2) | 209 (27.5) | 17,595 (20.2) | 17.2 | 16.2 |
| 60-69 | 2101 (18.6) | 1962 (18.7) | 134 (17.6) | 10,007 (11.5) | 16.2 | 13.5 |
| ≥ 70 | 118 (1.0) | 116 (1.2) | 2 (0.2) | 918 (1.1) | 13.6 | 12.7 |
| ( | ( | ( | ||||
| Australia | 6795 (76.9) | 6380 (77.5) | 384 (68.1) | ** | 70.5 | 66.9 |
| English first language | 7789 (88.5) | 7300 (89.0) | 452 (80.6) | ** | ** | ** |
| 107 (1.2) | 104 (1.3) | 3 (0.5) | ** | ** | ** | |
| ( | ( | ( | ||||
| In a current relationshipd | 7361 (72.2) | 6827 (71.9) | 504 (77.6) | ** | 57.1 | 62.4 |
| Relationship during past 12mthsd | 7779 (76.3) | 7201 (75.8) | 545 (84.0) | ** | ** | ** |
| Ever been in a relationship | 9682 (95.0) | 9021 (95.0) | 614 (94.6) | ** | 81.7 | 78.7 |
| ( | ( | ( | ** | ** | ** | |
| Male | 6209 (91.6) | 6135 (97.4) | 59 (13.1) | ** | Women respondents: 62.4 Male respondents: 1.3 | Women: 59.8 Men: 0.9 |
| Female | 559 (8.2) | 158 (2.5) | 392 (86.7) | ** | Female respondents: 0.3 Male respondents: 40.3 | Women: 0.4 Men: 63.8 |
| Non-binary | 8 (0.0) | 4 (0.1) | 1 (0.2) | ** | ** | ** |
| Living with partner (incl. married) | 6111 (69.5) | 5673 (69.5) | 413 (69.3) | ** | 47.9 | 52.5 |
| In a relationship, but not living with partner | 556 (6.3) | 514 (6.3) | 39 (7.0) | ** | ** | ** |
| Separated | 324 (3.7) | 306 (3.7) | 14 (2.5) | n.a. | 4.9 | 3.1 |
| Divorced | 669 (7.6) | 634 (7.7) | 32 (5.7) | n.a. | 12.5 | 8.4 |
| Widowed | 214 (2.4) | 209 (2.6) | 4 (.7) | ** | 6.6 | 4.5 |
| Not in a relationship/single | 1179 (13.4) | 1093 (13.3) | 80 (14.3) | ** | 42.9 | 37.6 |
| ( | ( | ( | ||||
| No children | 2320 (26.4) | 2093 (25.6) | 213 (38.2) | ** | ** | ** |
| Currently pregnant | – | 126 (1.1) | – | ** | ** | ** |
| 1+ children living at home | 4799 (54.7) | 4519 (55.2) | 266 (47.7) | ** | 32.2 | 34.2 |
| ( | ( | ( | ( | ** | ** | |
| Public Acute | 3947 (46.0) | 3678 (46.0) | 255 (46.2) | 41,280 (47.4) | ** | ** |
| Private Acute | 824 (9.6) | 788 (10.0) | 32 (5.8) | 10,490 (12.0) | ** | ** |
| Public Mental Health | 320 (3.7) | 244 (3.0) | 73 (13.2) | 2379 (2.7) | ** | ** |
| Private Mental Health | 81 (0.9) | 66 (0.8) | 15 (2.7) | 528 (0.0) | ** | ** |
| Public Aged Care | 801 (9.3) | 747 (9.3) | 51 (9.2) | 1686 (1.9) | ** | ** |
| Private Aged Care | 724 (8.4) | 672 (8.4) | 48 (8.7) | 12,371 (14.2) | ** | ** |
| Other | 1887 (22.0) | 1880 (22.5) | 78 (14.1) | 18,342 (21.1) | ** | ** |
| 1-3 days (24 hrs or less) | 2138 (24.9) | 2072 (25.9) | 54 (9.8) | 28.0 | 14.5 | 12.0 |
| > 3-4 days (25-34 hrs) | 3526 (41.1) | 3318 (41.4) | 193 (34.9) | 64.0 | 9.1 | 7.1 |
| 5+ days (35-44 hrs) | 2468 (28.7) | 2210 (27.7) | 249 (45.0) | 39.6 | 44.5 | |
| 6+ days (45 hrs+) | 464 (5.4) | 404 (5.0) | 57 (10.2) | |||
Denominators vary due to missing responses; base = all survey participants who responded
**Comparable data either not collected or available
aANMF (Vic Branch) October 2019 data. N.b: ANMF (Vic Branch) population to whom survey information was sent in August 2019 was 77,059 members
b2016 PSS data provided by ABS (courtesy of Anthea Saflekos) 16 February 2021
cPopulation data is weighted proportions from PSS, provided by ABS (Anthea Saflekos) 16 February 2021
d513 participants were omitted as they had never been in a relationship
Adult lifetime and 12-month prevalence of intimate partner violence a. Values are numbers (percentages)
| Intimate partner violence | Women’s lifetime prevalence | Men’s lifetime prevalence | Women’s 12-month prevalence | Men’s 12-month prevalence |
|---|---|---|---|---|
| Fear of partner a | 2894 (32.2) | 105 (17.2) | 552 (7.7) | 33 (6.1) |
| IPV Category (CAS) | ||||
| Severe physical, emotional and/or sexual combined abuse | 2315 (26.4) | 95 (16.1) | 373 (4.8) | 29 (5.1) |
| Physical abuse and emotional/harassment | 739 (8.4) | 45 (7.6) | 207 (2.6) | 15 (2.6) |
| Emotional abuse and/or harassment alone | 837 (10.0) | 77 (12.9) | 700 (8.9) | 65 (11.4) |
| Physical abuse alone | 328 (3.7) | 24 (4.1) | 96 (1.2) | 9 (1.6) |
| Sexual assault (rape) by partner | 1925 (22.2) | 65 (11.1) | 309 (3.5) | 17 (2.8) |
| 4055 (45.1) | 214 (35.0) | 1540 (22.1) | 127 (24.0) |
Denominators vary due to missing responses; base = all survey participants who responded
a476 women & 35 men participants omitted because they had never been in a relationship
Fig. 1Women’s overlap of physical, sexual and psychological IPV since sixteen years old (n = 4074)
Fig. 2Men’s overlap of physical, sexual and psychological IPV since sixteen years old (n = 229)
Technology-facilitated abuse and reproductive coercion prevalence. Values are numbers (percentages)
| Types of abuse | Women’s lifetime prevalence | Men’s lifetime prevalence |
|---|---|---|
| 468 (5.4) | 31 (5.2) | |
| Tracked me without consent | 262 (3.0) | 22 (3.7) |
| Distributed images/video without consent | 258 (2.9) | 15 (2.5) |
| N/A | ||
| 485 (5.8) | N/A | |
| Forced to become pregnant | 140 (1.7) | N/A |
| Forced to end pregnancy | 384 (4.6) | N/A |
Denominators vary due to missing responses; base = all survey participants who responded
N/A Women-only item
Fig. 3Women’s overlap of physical, sexual and psychological IPV in the last 12-months (n = 1379). *Insufficient data to report corresponding survivor men’s data
Adult sexual assault prevalence. Values are numbers (percentages) unless otherwise stated
| Types of abuse | Women’s lifetime prevalence | Men’s lifetime prevalence |
|---|---|---|
| 1618 (18.6) | 42 (7.1) | |
| Male perpetrator | 1589 (99.5) | 31 (75.6) |
| Perpetrator relationship | ||
| Stranger | 302 (22.8) | * |
| Friend/acquaintance | 580 (43.9) | * |
| Date/hook-up | 157 (11.9) | * |
| Patient | 24 (1.8) | * |
| Colleague | 72 (5.4) | * |
| Manager/senior | 55 (4.2) | * |
| Someone in the family (i.e. in-laws) | 130 (9.8) | * |
| Perpetrator worked at same workplace | 146 (9.6) | * |
| More than 1 incident of sexual assault | 679 (42.0) | 23 (54.8) |
Denominators vary due to missing responses; base = all survey participants who responded
*Numerator too small to report (≤15)
Fig. 4Perpetrator of women’s (non-partner) sexual assault
Child abuse a. Values are numbers (percentages) unless otherwise stated
| Child abuse type | Women as girls prevalence | Men as boys prevalence |
|---|---|---|
| Physical child abuse | 2487 (28.7) | 231 (39.2) |
| ( | ( | |
| Within the family b | 2126 (94.0) | 175 (83.3) |
| Outside the family c | 135 (6.0) | 35 (16.7) |
| Sexual child abuse | 1223 (14.1) | 67 (11.4) |
| ( | ( | |
| Within the family | 593 (53.8) | 21 (35.6) |
| Outside the family | 510 (46.2) | 38 (64.4) |
| ( | ( | |
| FV between parents while growing up | 2150 (24.9) | 156 (26.5) |
Denominators vary due to missing responses; base = all survey participants who responded
aAbusive behaviour before the age of 15 years by someone aged 18 plus years
bExamples of physical & sexual abuse perpetrators within the family are father, uncle, cousin
cExamples of physical & sexual abuse perpetrators outside the family are teacher, neighbour, family friend