| Literature DB >> 25205849 |
Sally El Tayeb1, Safa Abdalla2, Graziella Van den Bergh3, Ivar Heuch4.
Abstract
BACKGROUND: Trauma care is an important factor in preventing death and reducing disability. Injured persons in low- and middle-income countries are expected to use the formal healthcare system in increasing numbers. The objective of this paper is to examine use of healthcare services after injury in Khartoum State, Sudan.Entities:
Keywords: Health utilisation; Household survey; Socio-economic factors; Sudan; Trauma care
Mesh:
Year: 2014 PMID: 25205849 PMCID: PMC4427533 DOI: 10.1093/inthealth/ihu063
Source DB: PubMed Journal: Int Health ISSN: 1876-3405 Impact factor: 2.473
Type of healthcare facility visited for each cause of injury, Khartoum State, Sudan, 2010
| Type of health facility | RTI | Falls | Mechanical injuries | Burns | Poisoning | Violence | Others | Totala n (%) |
|---|---|---|---|---|---|---|---|---|
| Formal healthcare | ||||||||
| Public | 51 (77%) | 53 (37.5%) | 30 (38%) | 15 (33%) | 14 (52%) | 24 (69%) | 11 (50%) | 198 (47.5%) |
| Private | 6 (9%) | 15 (10.6%) | 18 (23%) | 10 (22%) | 4 (15%) | 4 (11%) | 5 (23%) | 62 (14.9%) |
| Informal healthcare | ||||||||
| Home treatment | 7 (11%) | 36 (25.5%) | 25 (31%) | 19 (42%) | 9 (33%) | 6 (17%) | 5 (23%) | 107 (25.7%) |
| Traditional healers/bone setter | 2 (3%) | 37 (26.2%) | 7 (8%) | 1 (2%) | 0 (0%) | 1 (3%) | 1 (5%) | 49 (11.7%) |
| Total | 66 (100%) | 141 (100%) | 80 (100%) | 45 (100%) | 27 (100%) | 35 (100%) | 22 (100%) | 416 (100%) |
RTI: Road traffic injuries.
a 25 cases with missing information.
Means of transport to reach the formal healthcare facilities by residence and socio-economic status, Khartoum State, Sudan, 2010
| Means of transport | Residence | Socio-economic status | Total n (%) | |||||
|---|---|---|---|---|---|---|---|---|
| Urban | Rural | Lowest | Low | Middle | Higher middle | High | ||
| By foot | 21 (9.7%) | 6 (13%) | 7 (16%) | 8 (13%) | 5 (10%) | 4 (8%) | 3 (5%) | 27 (10.3%) |
| Private car | 56 (26.0%) | 12 (27%) | 6 (13%) | 12 (19%) | 7 (14%) | 14 (29%) | 29 (53%) | 68 (26.1%) |
| Taxi | 52 (24.1%) | 8 (18%) | 6 (13%) | 12 (19%) | 15 (29%) | 15 (31%) | 12 (22%) | 60 (23.0%) |
| Public transport | 44 (20.4%) | 7 (16%) | 7 (16%) | 11 (17%) | 15 (29%) | 11 (23%) | 7 (13%) | 51 (19.6%) |
| Ambulance | 6 (2.7%) | 4 (9%) | 3 (7%) | 3 (5%) | 1 (2%) | 2 (4%) | 1 (2%) | 10 (3.8%) |
| Animal cart | 1 (0.4%) | 2 (4%) | 3 (7%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 3 (1.1%) |
| Others | 35 (16.2%) | 6 (13%) | 12 (27%) | 16 (26%) | 8 (16%) | 2 (4%) | 3 (5%) | 41 (15.7%) |
| Total | 215 (100%) | 45 (100%) | 44 (100%) | 62 (100%) | 51 (100%) | 48 (100%) | 55 (100%) | 260 (100%) |
Logistic regression analysis showing characteristics of injured persons who are most likely to use formal healthcare in Khartoum State, Sudan, 2010
| Characteristics | Utilised formal healthcare | Total injuredc | Crude OR | 95% CI | p-value | Adjusted ORd | 95% CI | p-value |
|---|---|---|---|---|---|---|---|---|
| Residence | 0.10 | 0.18 | ||||||
| Rural | 44 | 86 | 0.67 | (0.42–1.08) | 0.68 | (0.39–1.20) | ||
| Urban | 216 | 355 | 1.00 | 1.00 | ||||
| Sex | 0.03 | 0.01 | ||||||
| Male | 171 | 272 | 1.52 | (1.03–2.25) | 1.88 | (1.16–3.04) | ||
| Female | 89 | 169 | 1.00 | 1.00 | ||||
| Age groups (years) | 0.06 | 0.60 | ||||||
| 45+ | 51 | 76 | 1.85 | (1.05–3.27) | 1.36 | (0.69–2.66) | ||
| 16–44 | 121 | 197 | 1.45 | (0.95–2.20) | 1.22 | (0.73–2. 04) | ||
| 0–15 | 88 | 168 | 1.00 | 1.00 | ||||
| Level of educationa | 0.19 | 0.02 | ||||||
| Diploma/University | 57 | 112 | 1.47 | (0.81–2.68) | 0.69 | (0.29–1.63) | ||
| Secondary | 57 | 146 | 0.89 | (0.52–1.54) | 0.51 | (0.26–1.00) | ||
| Primary/khalwa | 79 | 100 | 0.79 | (0.48–1.30) | 0.39 | (0.21–0.73) | ||
| No education | 67 | 83 | 1.00 | 1.00 | ||||
| Socio-economic statusb | 0.004 | 0.003 | ||||||
| Lowest | 46 | 102 | 0.32 | (0.17–0.60) | 0.26 | (0.11–0.61) | ||
| Low | 63 | 111 | 0.51 | (0.27–0.96) | 0.48 | (0.21–1.09) | ||
| Middle | 50 | 74 | 0.81 | (0.40–1.63) | 0.94 | (0.39–2.23) | ||
| Higher middle | 47 | 79 | 0.57 | (0.29–1.12) | 0.50 | (0.23–1.09) | ||
| High | 54 | 75 | 1.00 | 1.00 | ||||
| Cause of injury | 0.001 | 0.002 | ||||||
| Falls | 65 | 139 | 0.23 | (0.12–0.45) | 0.17 | (0.07–0.42) | ||
| Mechanical injuries | 77 | 126 | 0.41 | (0.21–0.81) | 0.40 | (0.17–0.94) | ||
| Burns | 25 | 46 | 0.31 | (0.14–0.71) | 0.24 | (0.08–0.69) | ||
| Poisoning | 13 | 23 | 0.34 | (0.13–0.93) | 0.35 | (0.10–1.15) | ||
| Others | 23 | 35 | 0.50 | (0.20–1.24) | 0.51 | (0.18–1.46) | ||
| Road traffic injuries | 57 | 72 | 1.00 | 1.00 | ||||
| Place of injury | 0.002 | 0.002 | ||||||
| School | 10 | 13 | 2.70 | (0.72–10.12) | 2.51 | (0.59–10.60) | ||
| Street/highway | 86 | 127 | 1.70 | (1.07–2.71) | 0.75 | (0.39–1.42) | ||
| Sports/athletic area | 13 | 40 | 0.39 | (0.19–0.80) | 0.23 | (0.10–0.54) | ||
| Industrial/construction area | 15 | 21 | 2.03 | (0.76–5.44) | 1.98 | (0.64–6.12) | ||
| Others | 25 | 39 | 1.45 | (0.71–2.95) | 1.41 | (0.63–3.13) | ||
| Home | 111 | 201 | 1.00 | 1.00 |
a Education of head of household was taken as proxy for children aged <15 years.
b Quintiles of wealth index based on factors such as home ownership, number of rooms and households assets.
c 27 cases with missing information were included in the ‘not utilised healthcare’ category.
d Adjustment carried out for all other characteristics included in the table.
Main reasons given by injured persons for using formal healthcare, Khartoum State, Sudan, 2010
| Sex | Socio-economic status | Totala n (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| Female | Male | Lowest | Low | Middle | Higher middle | High | ||
| Affordable | 2 (2%) | 5 (3.0%) | 1 (2%) | 4 (7%) | 1 (2%) | 0 (0%) | 1 (2%) | 7 (2.8%) |
| Close to residence | 23 (27%) | 46 (28.0%) | 13 (29%) | 14 (23%) | 17 (35%) | 11 (25%) | 14 (26%) | 69 (27.6%) |
| Drugs are available | 1 (1%) | 5 (3.0%) | 1 (2%) | 0 (0%) | 4 (8%) | 0 (0%) | 1 (2%) | 6 (2.4%) |
| Major injury | 32 (37%) | 64 (39.0%) | 25 (56%) | 27 (45%) | 16 (33%) | 16 (36%) | 12 (23%) | 96 (38.4%) |
| Minor injury | 3 (3%) | 5 (3.0%) | 2 (4%) | 3 (5%) | 0 (0%) | 1 (2%) | 2 (4%) | 8 (3.2%) |
| Short waiting time | 0 (0%) | 2 (1.2%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (4%) | 2 (0.8%) |
| Experienced health provider | 10 (12%) | 9 (5.4%) | 1 (2%) | 4 (7%) | 2 (4%) | 6 (14%) | 6 (11%) | 19 (7.6%) |
| Insurance to cover costs | 4 (5%) | 4 (2.4%) | 0 (0%) | 1 (2%) | 1 (2%) | 4 (9%) | 2 (4%) | 8 (3.2%) |
| Others | 11 (13%) | 24 (14.6%) | 2 (4%) | 7 (12%) | 7 (15%) | 6 (14%) | 13 (25%) | 35 (14.0%) |
| Total | 86 (100%) | 164 (100%) | 45 (100%) | 60 (100%) | 48 (100%) | 44 (100%) | 53 (100%) | 250 (100%) |
a 10 cases with missing information.
Main reasons for not using formal healthcare after an injury, Khartoum State, Sudan, 2010
| Reasons | Sex | Socio-economic status | Totala n (%) | |||||
|---|---|---|---|---|---|---|---|---|
| Female | Male | Lowest | Low | Middle | Higher middle | High | ||
| Too far | 11 (16%) | 10 (14%) | 12 (24%) | 6 (17%) | 2 (10%) | 0 (0%) | 1 (7%) | 21 (15.0%) |
| Cannot afford service | 8 (12%) | 8 (11%) | 8 (16%) | 3 (8%) | 4 (19%) | 0 (0%) | 1 (6%) | 16 (11.4%) |
| No serious injury | 36 (54%) | 42 (55%) | 18 (35%) | 19 (51%) | 15 (71%) | 16 (89%) | 10 (63%) | 78 (55.7%) |
| No insurance to cover cost | 2 (3%) | 3 (4%) | 0 (0%) | 4 (11%) | 0 (0%) | 1 (6%) | 0 (0%) | 5 (3.5%) |
| Long waiting time | 0 (0%) | 1 (1%) | 1 (2%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.7%) |
| Mistreatments by health provider | 0 (0%) | 1 (1%) | 1 (2%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.7%) |
| Other | 10 (15%) | 8 (11%) | 11 (22%) | 4 (11%) | 0 (0%) | 1 (6%) | 2 (13%) | 18 (12.8%) |
| Total | 67 (100%) | 73 (100%) | 51 (100%) | 36 (100%) | 21 (100%) | 18 (100%) | 14 (100%) | 140 (100%) |
a 41 cases with missing information.