| Literature DB >> 26039306 |
Aline Marques Acosta1, Maria Alice Dias da Silva Lima1.
Abstract
AIM: to identify the profile of frequent users of emergency services, to verify the associated factors and to analyze the reasons for the frequent use of the services.Entities:
Mesh:
Year: 2015 PMID: 26039306 PMCID: PMC4459009 DOI: 10.1590/0104-1169.0072.2560
Source DB: PubMed Journal: Rev Lat Am Enfermagem ISSN: 0104-1169
Comparison between groups of frequent users, according to the qualitative variables. Porto Alegre, RS, Brazil, 2012
| Variable | Sample* (N=385) | Frequent user group | p† | |||
|---|---|---|---|---|---|---|
| Group 1* (n=251) | Group 2* (n=117) | Group 3* (n=17) | ||||
| N (%) | n (%) | n (%) | n (%) | |||
| Gender | 0.588 | |||||
| Female | 211 (54.8) | 135 (53.8) | 68 (58.1) | 8 (47.1) | ||
| Male | 174 (45.2) | 116 (46.2) | 49 (41.9) | 9 (52.9) | ||
| Age in years | 0.080 | |||||
| 18 – 40 | 101 (26.2) | 68 (27.1) | 31 (26.5) | 2 (11.8) | ||
| 41 – 59 | 119 (30.9) | 84 (33.4) | 31 (26.5) | 4 (23.5) | ||
| 60 – 79 | 142 (36.9) | 81 (32.3) | 50 (42.7) | 11 (64.7) | ||
| > 80 | 23 (6.0) | 18 (7.2) | 5 (4.3) | 0 | ||
| Chronic diseases | 0.870 | |||||
| Yes | 326 (84.9) | 212 (84.5) | 100 (86.2) | 14 (82.4) | ||
| No | 58 (15.1) | 39 (15.5) | 16 (13.8) | 3 (17.6) | ||
| Origin | 0.576 | |||||
| Spontaneous demand | 328 (85.4) | 213 (84.9) | 100 (86.2) | 15 (88.2) | ||
| Ambulance | 9 (2.4) | 7 (2.8) | 2 (1.7) | 0 | ||
| Primary healthcare | 2 (0.5) | 1 (0.4) | 0 | 1 (5.9) | ||
| Outpatient clinic | 42 (10.9) | 28 (11.2) | 13 (11.2) | 1 (5.9) | ||
| Other | 3 (0.8) | 2 (0.8) | 1 (0.9) | 0 | ||
| Scheduled appointment | 0.011 | |||||
| Yes | 104 (27) | 80 (31.9) ‡ | 22 (18.8) | 2 (11.8) | ||
| No | 281 (73) | 171 (68.1) | 95 (81.2) | 15 (88.2) | ||
| Days of the week | 0.206 | |||||
| Weekdays | 313 (81.3) | 207 (82.5) | 95 (81.9) | 11 (64.7) | ||
| Weekend | 71 (18.7) | 44 (17.5) | 21 (18.1) | 6 (35.3) | ||
| Shift | 0.407 | |||||
| Morning | 225 (59.1) | 155 (62.2) | 60 (52.2) | 10 (58.8) | ||
| Afternoon | 88 (23.1) | 51 (20.5) | 33 (28.7) | 4 (23.5) | ||
| Night | 68 (17.8) | 43 (17.3) | 22 (19.1) | 3 (17.6) | ||
| Risk classification | 0.470 | |||||
| Emergency | 24 (6.9) | 16 (7.0) | 6 (5.5) | 2 (15.4) | ||
| Very urgent | 63 (18.0) | 36 (15.8) | 26 (23.9) | 1 (7.7) | ||
| Urgent | 135 (38.6) | 86 (37.7) | 44 (40.4) | 5 (38.5) | ||
| Slightly urgent | 121 (34.6) | 85 (37.3) | 31 (28.4) | 5 (38.5) | ||
| Not urgent | 7 (2.0) | 5 (2.2) | 2 (1.8) | 0 | ||
| Length of stay in hours | 0.007 | |||||
| < 1 | 94 (24.4) | 76 (30.3) ‡ | 15 (12.8) | 3 (17.6) | ||
| 1 – 12 | 128 (33.3) | 71 (28.3) | 51 (43.6) ‡ | 6 (35.3) | ||
| 12 – 24 | 38 (9.9) | 22 (8.8) | 13 (11.1) | 3 (17.6) | ||
| 24 – 48 | 39 (10.1) | 21 (8.3) | 16 (13.7) | 2 (11.8) | ||
| > 48 hours | 86 (22.3) | 61 (24.3) | 22 (18.8) | 3 (17.6) | ||
| Outcome | 0.001 | |||||
| Discharged | 179 (46.5) | 106 (42.4) | 67 (57.8) ‡ | 6 (35.3) | ||
| Referral to outpatient care | 83 (21.5) | 70 (28.0) ‡ | 10 (8.6) | 3 (17.6) | ||
| Hospitalization | 88 (23) | 54 (21.6) | 29 (25.0) | 5 (29.4) | ||
| Death | 15 (3.9) | 10 (4.0) | 3 (2.6) | 2 (11.8) | ||
| Left the service | 11 (3.4) | 7 (2.8) | 4 (3.4) | 0 | ||
| Other | 7 (1.8) | 3 (1.2) | 3 (2.6) | 1 (5.9) | ||
Percentages calculated excluding variables without response
Using Fisher's exact test
Statistically significant association from the adjusted residual tests
Correlation between number of recurrences in the service and quantitative and ordinal variables. Porto Alegre, RS, Brazil, 2012
| Recurrences in the service | ||
|---|---|---|
| Correlation coefficient (r) | p* | |
| Age | +0.067 | 0.191 |
| Risk classification | -0.106 | 0.048 |
| Length of stay | +0.107 | 0.035 |
Using Spearman's correlation test
Figure 1 -Description of the thematic categories related to the reasons for the frequent use of the emergency service. Porto Alegre, RS, Brazil, 2012