| Literature DB >> 32004325 |
Nihaya Daoud1, Lotan Kraun1,2, Ruslan Sergienko1, Naama Batat3, Ilana Shoham-Vardi1, Nadav Davidovitch2, Arnon Cohen2,4.
Abstract
BACKGROUND: While women experiencing intimate partner violence (IPV) face significant health consequences, their patterns of healthcare services (HCS) utilization are unclear, as are the effects of IPV screening and receiving information on these patterns.Entities:
Mesh:
Year: 2020 PMID: 32004325 PMCID: PMC6994004 DOI: 10.1371/journal.pone.0228088
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic, socioeconomic, and health characteristics of the study sample by ethnic group (Jewish and Arab women).
| Total sample N = 869 | Jewish women N = 542 (62.4%) | Arab women N = 327 (37.6%) | P | |
|---|---|---|---|---|
| N (%) | N (%) | N (%) | ||
| < 0.001 | ||||
| 16–24 | 174 (20.0) | 43 (7.9) | 131 (40.1) | |
| 25–34 | 520 (59.0) | 360 (66.4) | 160 (48.9) | |
| 35–48 | 175 (20.1) | 139 (25.6) | 36 (11.0) | |
| < 0.001 | ||||
| Married | 832 (96.1) | 508 (94.2) | 324 (99.1) | |
| Other | 34 (3.9) | 31 (5.8) | 3 (0.9) | |
| < 0.001 | ||||
| Pregnant | 202 (23.4) | 79 (14.6) | 123 (38.0) | |
| After birth | 662 (76.1) | 461 (85.4) | 201 (62.0) | |
| < 0.001 | ||||
| Yes | 808 (93.1) | 520 (96.1) | 288 (88.1) | |
| No | 60 (6.9) | 21 (3.9) | 39 (11.9) | |
| < 0.001 | ||||
| High school or less | 375 (43.2) | 171 (31.5) | 204 (62.4) | |
| Postsecondary or college | 139 (16.0) | 91 (16.8) | 48 (14.7) | |
| Bachelor's or above | 355 (40.9) | 280 (51.7) | 75 (22.9) | |
| Yes | 83 (9.7) | 76 (14.5) | 7 (2.1) | < 0.001 |
| No | 769 (89.7) | 449 (85.5) | 320 (97.9) |
—HCS utilization rates in the total sample and among Jewish and Arab women during the first year after the interview.
| Family physician | Gynecologist | Specialist | ER | Hospitalization | |
|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | N (%) | |
| 301 (55.5) | 404 (74.5) | 289 (53.3) | 157 (29.0) | 41 (7.6) | |
| 176 (53.8) | 243 (74.3) | 132 (40.4) | 118 (36.1) | 44 (13.5) | |
| 477 (54.9) | 647 (74.5) | 421 (48.4) | 275 (31.6) | 85 (9.8) |
Fig 1Experiencing IPV (%) in the total sample and among Arab and Jewish women.
Fig 2Screening for IPV, receiving information about support services, and both, in the study groups.
Univariate associations between any IPV, IPV types, and HCS utilization in the total sample and study groups.
| Family physician | Gynecologist | Specialist | ER | Hospitalization | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| IPV | Total N (%) | High use N (%) | P | Yes N (%) | P | Yes N (%) | P | Yes N (%) | P | Yes N (%) | P |
| 0.404 | 0.203 | ||||||||||
| Yes | 363 (41.8) | 197 (54.3) | 281 (77.4) | 162 (44.6) | 121 (33.3) | 46 (12.7) | |||||
| No | 506 (58.2) | 280 (55.3) | 366 (72.3) | 259 (51.2) | 154 (30.4) | 39 (7.7) | |||||
| 0.556 | 0.167 | 0.33 | 0.497 | ||||||||
| Yes | 47 (5.4) | 20 (42.6) | 35 (74.5) | 19 (40.4) | 13 (27.7) | 5 (10.6) | |||||
| No | 820 (94.6) | 456 (55.6) | 611 (74.5) | 400 (48.8) | 262 (32.0) | 80 (9.8) | |||||
| 0.112 | |||||||||||
| Yes | 267 (30.8) | 136 (50.9) | 211 (79.0) | 115 (43.1) | 93 (34.8) | 38 (14.2) | |||||
| No | 599 (69.2) | 339 (56.6) | 434 (72.5) | 304 (50.8) | 182 (30.4) | 47 (7.8) | |||||
| 0.446 | 0.147 | ||||||||||
| Yes | 246 (28.4) | 342 (55.1) | 194 (78.9) | 103 (41.9) | 85 (34.6) | 32 (13.0) | |||||
| No | 621 (71.6) | 134 (54.5) | 452 (72.8) | 316 (50.9) | 190 (30.6) | 53 (8.5) | |||||
| 0.497 | 0.445 | 0.292 | 0.414 | ||||||||
| Yes | 145 (26.8) | 80 (55.2) | 107 (73.8) | 74 (51.0) | 34 (23.4) | 12 (8.3) | |||||
| No | 397 (73.2) | 221 (55.7) | 297 (74.8) | 215 (54.2) | 123 (31.0) | 29 (7.3) | |||||
| 0.267 | 0.304 | 0.326 | |||||||||
| Yes | 14 (2.6) | 3 (21.4) | 12 (85.7) | 6 (42.9) | 1 (7.1) | 0 (0.0) | |||||
| No | 526 (97.4) | 297 (56.5) | 391 (74.3) | 281 (53.4) | 156 (29.7) | 41 (7.8) | |||||
| 0.174 | 0.417 | 0.481 | 0.127 | 0.389 | |||||||
| Yes | 104 (19.3) | 53 (51.0) | 79 (76.0) | 56 (53.8) | 25 (24.0) | 9 (8.7) | |||||
| No | 436 (80.7) | 247 (56.7) | 324 (74.3) | 231 (53.0) | 132 (30.3) | 32 (7.3) | |||||
| 0.273 | 0.391 | 0.500 | 0.581 | ||||||||
| Yes | 81 (15.0) | 48 (59.3) | 59 (72.8) | 37 (45.7) | 24 (29.6) | 6 (7.4) | |||||
| No | 459 (85.0) | 252 (54.9) | 344 (74.9) | 250 (54.5) | 133 (29.0) | 35 (7.6) | |||||
| 0.516 | 0.547 | ||||||||||
| Yes | 218 (66.7) | 117 (53.7) | 174 (79.8) | 88 (40.4) | 87 (39.9) | 34 (15.6) | |||||
| No | 109 (33.3) | 59 (54.1) | 69 (63.3) | 44 (40.4) | 31 (28.4) | 10 (9.2) | |||||
| 0.460 | 0.326 | 0.530 | 0.556 | 0.466 | |||||||
| Yes | 33 (10.1) | 17 (51.5) | 23 (69.7) | 13 (39.4) | 12 (36.4) | 5 (15.2) | |||||
| No | 294 (89.9) | 159 (54.1) | 220 (74.8) | 119 (40.5) | 106 (36.1) | 39 (13.3) | |||||
| 0.187 | |||||||||||
| Yes | 163 (50.0) | 83 (50.9) | 132 (81.0) | 59 (36.2) | 68 (41.7) | 29 (17.8) | |||||
| No | 163 (50.0) | 92 (56.4) | 110 (67.5) | 73 (44.8) | 50 (30.7) | 15 (9.2) | |||||
| 0.304 | 0.490 | 0.413 | 0.142 | ||||||||
| Yes | 165 (50.5) | 86 (52.1) | 135 (81.8) | 66 (40.0) | 61 (37.0) | 26 (15.8) | |||||
| No | 162 (49.5) | 90 (55.6) | 108 (66.7) | 66 (40.7) | 57 (35.2) | 18 (11.1) | |||||
Univariate Associations between IPV screening, receiving information, and both, and utilization of healthcare services in the total sample and study groups.
| Total | Family physician | Gynecologist | Specialist | ER | Hospitalization | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Women’s Characteristics | N (%) | High use | P | Yes | P | Yes | P | Yes | P | Yes | P |
| N (%) | N (%) | N (%) | N (%) | N (%) | |||||||
| Yes | 417 (48.3) | 228 (54.7) | 0.459 | 308 (73.9) | 0.358 | 224 (53.7) | 121 (29.0) | 35 (8.4) | 0.103 | ||
| No | 447 (51.7) | 247 (55.3) | 336 (75.2) | 194 (43.4) | 153 (34.2) | 50 (11.2) | |||||
| Yes | 410 (47.2) | 224 (45.4) | 0.481 | 304 (74.1) | 0.460 | 203 (49.5) | 0.310 | 127 (31.0) | 0.389 | 34 (8.3) | |
| No | 458 (52.8) | 206 (45.0) | 342 (74.7) | 218 (47.6) | 147 (32.1) | 51 (11.1) | |||||
| Yes | 258 (29.9) | 136 (52.7) | 0.218 | 193 (74.8) | 129 (50.0) | 0.299 | 67 (26.0) | 18 (7.0) | |||
| No | 605 (70.1) | 338 (55.9) | 450 (74.4) | 289 (47.8) | 206 (34.0) | 67 (11.1) | |||||
| yes | 291 (54.0) | 161 (55.3) | 0.866 | 216 (74.2) | 0.837 | 167 (57.4) | 79 (27.1) | 0.273 | 21 (7.2) | 0.711 | |
| no | 248 (46.0) | 139 (56.0) | 186 (75.0) | 120 (48.4) | 78 (31.5) | 20 (8.1) | |||||
| yes | 291 (53.8) | 154 (52.9) | 0.225 | 219 (75.3) | 0.693 | 151 (51.9) | 0.489 | 86 (29.6) | 0.382 | 21 (7.2) | 0.427 |
| no | 250 (46.2) | 146 (58.4) | 184 (73.6) | 138 (55.2) | 70 (28.0) | 20 (8.0) | |||||
| yes | 188 (34.9) | 102 (54.3) | 0.716 | 141 (75.0) | 0.917 | 103 (54.8) | 0.651 | 48 (25.5) | 0.232 | 13 (6.9) | 0.735 |
| no | 350 (65.1) | 197 (56.3) | 260 (74.3) | 184 (52.6) | 108 (30.9) | 28 (8.0) | |||||
| yes | 126 (38.8) | 67 (53.2) | 0.468 | 92 (73.0) | 0.364 | 57 (45.2) | 42 (33.3) | 0.249 | 14 (11.1) | 0.198 | |
| no | 199 (61.2) | 108 (54.3) | 150 (75.4) | 74 (37.2) | 75 (37.7) | 30 (15.1) | |||||
| yes | 119 (36.4) | 67 (53.2) | 0.104 | 85 (71.4) | 0.220 | 52 (43.7) | 0.208 | 41 (34.5) | 0.366 | 13 (10.9) | 0.200 |
| no | 208 (63.6) | 108 (54.3) | 158 (76.0) | 80 (38.5) | 77 (37.0) | 31 (14.9) | |||||
| Yes | 70 (21.5) | 34 (48.6) | 0.194 | 52 (74.3) | 0.541 | 26 (37.1) | 0.32 | 19 (27.1) | 5 (7.1) | ||
| No | 255 (78.5) | 141(55.3) | 190 (74.5) | 105 (41.2) | 98 (38.4) | 39 (15.3) | |||||
Multivariable analysis for associations between any IPV, types of IPV, and HCS utilization among Jewish and Arab women (adjusted models)*.
| Yes | 0.90 (0.51–1.57) | 0.97 (0.62–1.53) | 0.89 (0.56–1.40) | 1.13 (0.55–2.36) | |
| No | 1 | 1 | 1 | 1 | |
| Yes | 2.50 (0.36–17.38) | 0.72 (0.15–3.45) | NR | 0.18 (0.02–1.52) | |
| No | 1 | 1 | 1 | 1 | 1 |
| Yes | 1.09 (0.68–1.75) | 0.84 (0.45–1.57) | 0.74 (0.43–1.25) | 0.76 (0.38–1.52) | 0.86 (0.52–1.40) |
| No | 1 | 1 | 1 | 1 | 1 |
| Yes | 0.77 (0.39–1.54) | 1.18 (0.70–2.00) | 1.06 (0.64–1.76) | 1.28 (0.58–2.82) | 0.73 (0.46–1.16) |
| No | 1 | 1 | 1 | 1 | 1 |
| Yes | 1.05 (0.65–1.69) | 1.10 (0.70–1.75) | 1.23 (0.34–4.41) | 1.36 (0.86–2.16) | |
| No | 1 | 1 | 1 | 1 | |
| Yes | 1.26 (0.59–2.69) | 0.81 (0.35–1.91) | 1.10 (0.50–2.41) | NR | 1.07 (0.57–2.03) |
| No | 1 | 1 | 1 | 1 | |
| Yes | 0.92 (0.63–1.36) | 1.18 (0.65–2.15) | 1.22 (0.49–3.03) | 0.91 (0.53–1.54) | |
| No | 1 | 1 | 1 | 1 | |
| Yes | 0.94 (0.61–1.45) | 0.76 (0.50–1.16) | 1.95 (0.63–6.06) | 1.50 (0.96–2.36) | |
| No | 1 | 1 | 1 | 1 | |
*All associations are adjusted for socio-demographic variables (age, education, chronic disease, and pregnancy status). Significant associations are highlighted with bold fonts.
Multivariate associations between experiencing physical and/or sexual IPV and health care utilization among Jewish women (N = 542).
| Yes | |||||
| No | |||||
| Yes | 1.08 (0.82–1.41) | ||||
| No | 1 | ||||
| Yes | 1.32 (0.90–1.93) | ||||
| No | 1 | ||||
| Yes | 1.19 (0.84–1.67) | ||||
| No | 1 | ||||
| Yes | |||||
| No | |||||
| Yes | 1.14 (0.76–1.72) | ||||
| No | 1 | ||||
| Yes | 0.81 (0.58–1.23) | ||||
| No | 1 | ||||
| Yes | 1.23 (0.74–2.05) | ||||
| No | 1 | ||||
Model 1- crude model. Model 2- adjusted for socio-demographic variables (age, education, chronic illness and pregnancy status). Model 3- adjusted for socio-demographic variables and IPV screening. Model 4- adjusted for socio-demographic variables and received information. Model 5- adjusted for socio-demographic variables and a combined variable of both being screened for IPV and received information.
Multivariate associations between experiencing IPV and HCS utilization among Arab women (N = 322).
| Yes | |||||
| No | |||||
| Yes | 0.64 (0.38–1.08) | ||||
| No | 1 | ||||
| Yes | 0.93 (0.60–1.40) | ||||
| No | 1 | ||||
| Yes | |||||
| No | 1 | ||||
| Yes | |||||
| No | |||||
| Yes | 0.64 (0.38–1.09) | ||||
| No | 1 | ||||
| Yes | 0.91 (0.60–1.39) | ||||
| No | 1 | ||||
| Yes | |||||
| No | 1 | ||||
| Yes | |||||
| No | |||||
| 0.63 (0.38–1.06) | |||||
| Yes | |||||
| No | 1 | ||||
| Yes | 0.92 (0.60–1.40) | ||||
| No | 1 | ||||
| Yes | |||||
| No | 1 | ||||