| Literature DB >> 35581647 |
Margda Waern1,2, Åsa Westrin3,4, Erik Bergqvist5,6, Sara Probert-Lindström3,4, Elin Fröding7,8, Nina Palmqvist-Öberg3,4, Anna Ehnvall1,9, Charlotta Sunnqvist10, Tabita Sellin11, Marjan Vaez12.
Abstract
OBJECTIVE: Previous literature has suggested that identifying putative differences in health care seeking patterns before death by suicide depending on age and gender may facilitate more targeted suicide preventive approaches. The aim of this study is to map health care utilisation among individuals in the two years prior to suicide in Sweden in 2015 and to examine possible age and gender differences.Entities:
Keywords: Health care utilisation; Health services; Medical records; Suicide
Mesh:
Year: 2022 PMID: 35581647 PMCID: PMC9115926 DOI: 10.1186/s12913-022-08044-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
Characteristics of the study population
| 948 (100) | 691 (72.9) | 257 (27.1) | |
| 0–24 | 86 (9.1) | 56 (65.1) | 30 (34.9) |
| 25–44 | 254 (26.8) | 183 (72.0) | 71 (28.0) |
| 45–64 | 352 (37.1) | 266 (75.6) | 86 (24.4) |
| 65 + | 256 (27.0) | 186 (72.7) | 70 (27.3) |
| Married/cohabitant | 260 (27.4) | 195 (28.2) | 65 (25.3) |
| Unmarried/divorced/widower | 411 (43.4) | 286 (41.4) | 125 (48.6) |
| Unknown status | 277 (29.2) | 210 (30.4) | 67 (26.1) |
| In employment/school/work training/age pension | 507 (53.5) | 344 (49.8) | 163 (63.4) |
| In unemployment | 139 (14.7) | 103 (14.9) | 36 (14.0) |
| Unknown status | 302 (31.9) | 244 (35.3) | 58 (22.6) |
| Yes | 201 (21.2) | 132 (19.1) | 69 (26.8) |
| No | 441 (46.5) | 309 (44.7) | 132 (51.4) |
| Unknown status | 306 (32.3) | 250 (36.2) | 56 (21.8) |
Fig. 1Total health care utilisation within 24 months to 1 day before death
Distribution of the health care utilisation two years prior to suicide
| 856 (90.3) | - | 816 (86.1) | - | 698 (73.6) | - | 565 (59.6) | - | 338 (35.7) | - | 137 (14.5) | - | |
| Male | 611 (88.4a) | 0.001c | 576 (83.4a) | < 0.001c | 488 (70.6a) | 0.001c | 389 (56.3a) | 0.001c | 226 (32.7a) | 0.002c | 86 (12.4a) | 0.004c |
| Female | 245 (95.3a) | 240 (93.4a) | 210 (81.7a) | 176 (68.5a) | 112 (43.6a) | 51 (19.8a) | ||||||
| 0–24 | 76 (88.4b) | 0.031c | 69 (80.2b) | 0.001c | 56 (65.1b) | 0.007c | 46 (53.3b) | 0.261c | 26 (30.2b) | 0.739c | 10 (11.6b) | 0.326c |
| 25–44 | 223 (87.8b) | 209 (82.3b) | 183 (72.0b) | 152 (59.8b) | 91 (35.8b) | 44 (17.3b) | ||||||
| 45–64 | 314 (89.2b) | 300 (85.2b) | 251 (71.3b) | 203 (57.7b) | 127 (36.1b) | 44 (12.5b) | ||||||
| 65 + | 243 (94.9b) | 238 (93.0b) | 208 (81.3b) | 164 (64.1b) | 94 (36.7b) | 39 (15.2b) | ||||||
| 484 (51.1) | - | 446 (47.0) | - | 385 (40.6) | - | 298 (31.4) | - | 179 (18.9) | - | 70 (7.4) | ||
| Male | 316 (45.7a) | < 0.001c | 292 (42.3a) | < 0.001c | 250 (36.2a) | < 0.001c | 190 (27.5a) | < 0.001c | 111 (16.1a) | < 0.001c | 42 (6.1a) | 0.012c |
| Female | 168 (65.4a) | 154 (59.9a) | 135 (52.5a) | 108 (42.0a) | 68 (26.5a) | 28 (10.9a) | ||||||
| 0–24 | 51 (59.3b) | < 0.001c | 40 (46.5b) | < 0.001c | 36 (41.9b) | < 0.001c | 31 (36.0b) | < 0.001c | 19 (22.1b) | 0.004c | 8 (9.3b) | 0.018c |
| 25–44 | 162 (63.8b) | 151 (59.4b) | 131 (51.6b) | 105 (41.3b) | 60 (23.6b) | 28 (11.0b) | ||||||
| 45–64 | 189 (53.4b) | 177 (50.3b) | 147 (41.8b) | 108 (30.7b) | 70 (19.9b) | 24 (6.8b) | ||||||
| 65 + | 82 (32.0b) | 78 (30.5b) | 71 (27.7b) | 54 (21.1b) | 30 (11.7b) | 10 (3.9b) | ||||||
| 758 (80.0) | - | 684 (72.2) | - | 467 (49.3) | - | 295 (31.3) | - | 132 (13.9) | - | 31 (3.3) | - | |
| Male | 539 (78.0a) | 0.014c | 483 (69.9a) | 0.011c | 322 (46.4a) | 0.007c | 209 (30.2a) | 0.342c | 88 (12.7a) | 0.083c | 19 (2.7a) | 0.140c |
| Female | 219 (85.2a) | 201 (78.2a) | 145 (56.4a) | 86 (33.5a) | 44 (17.1a) | 12 (4.7a) | ||||||
| 0–24 | 63 (73.3b) | < 0.001c | 52 (60.5b) | < 0.001c | 26 (30.2b) | < 0.001c | 10 (11.6b) | < 0.001c | 6 (7.0b) | 0.001c | 1 (1.2b) | 0.112c |
| 25–44 | 182 (71.7b) | 151 (59.4b) | 91 (35.8b) | 58 (22.8b) | 23 (9.1b) | 6 (2.4b) | ||||||
| 45–64 | 286 (81.3b) | 263 (74.7b) | 180 (51.1b) | 115 (32.7b) | 53 (15.1b) | 10 (2.8b) | ||||||
| 65 + | 227 (88.7b) | 218 (85.2b) | 170 (66.4b) | 112 (43.8b) | 50 (19.5b) | 14 (5.5b) | ||||||
| 630 (66.5) | - | 550 (58.0) | - | 351 (37.0) | - | 220 (23.2) | - | 101 (10.7) | - | 46 (4.9) | - | |
| Male | 437 (63.2a) | 0.001c | 384 (55.6a) | 0.012c | 247 (35.7a) | 0.181c | 152 (22.0a) | 0.148c | 73 (10.6a) | 0.883c | 33 (4.8a) | 0.857c |
| Female | 193 (75.1a) | 166 (64.6a) | 104 (40.5a) | 68 (26.5a) | 28 (10.9a) | 13 (5.1a) | ||||||
| 0–24 | 48 (55.8b) | < 0.001c | 40 (46.5b) | < 0.001c | 21 (24.4b) | < 0.001c | 16 (18.6b) | < 0.001c | 5 (5.8b) | 0.015c | 3 (3.5b) | 0.648c |
| 25–44 | 142 (55.9b) | 117 (46.1b) | 63 (24.8b) | 41 (16.1b) | 18 (7.1b) | 11 (4.3b) | ||||||
| 45–64 | 232 (65.9b) | 199 (56.5b) | 126 (35.8b) | 75 (21.3b) | 40 (11.4b) | 16 (4.5b) | ||||||
| 65 + | 208 (81.3b) | 194 (75.8b) | 141 (55.1b) | 88 (34.4b) | 38 (14.8b) | 16 (6.3b) | ||||||
a% within sex
b% within the age category
cPearson Chi-Square (2-sided)