| Literature DB >> 28955428 |
Farayi Seremwe1, Farayi Kaseke2, Theodora M Chikwanha2, Vasco Chikwasha3.
Abstract
BACKGROUND: Late presentation to hospital after onset of stroke affects management and outcomes of the patients. This study aimed to determine the factors associated with time taken to present to hospital after the onset of acute stroke symptoms.Entities:
Mesh:
Year: 2017 PMID: 28955428 PMCID: PMC5610291 DOI: 10.4314/mmj.v29i2.18
Source DB: PubMed Journal: Malawi Med J ISSN: 1995-7262 Impact factor: 0.875
Sociodemographic characteristics of patients with stroke (N = 121)
| Demographic characteristic | Frequency (%) |
| Married | 74 (61) |
| Single | 5 (4) |
| Widowed | 37 (31) |
| Divorced | 5 (4) |
| Urban | 80 (66) |
| Rural | 41 (34) |
| Alone | 10 (8) |
| Not alone | 111 (92) |
| No education | 13 (11) |
| Primary | 73 (60) |
| Secondary | 32 (26) |
| Tertiary | 3 (2) |
| Working | 46 (38) |
| Not working | 49 (41) |
| Retired | 26 (21) |
| $0 | 75 (62) |
| $1 to 100 | 17 (14) |
| $101 to 300 | 20 (17) |
| $301 to 500 | 9 (7) |
| Pentecostal | 14 (12) |
| Catholic/Protestant | 63 (52) |
| Apostolic | 34 (28) |
| Atheist | 10 (8) |
| Parirenyatwa | 61 (50.4) |
| Harare | 60 (49.6) |
| Cash | 54 (44) |
| Medical aid | 8 (7) |
| Aged non-paying | 59 (49) |
Knowledge of stroke symptoms among participants
| Knowledge of stroke | Frequency (%) |
| Yes | 40 (33) |
| No | 81 (67) |
| Yes | 61 (50.4) |
| No | 60 (49.6) |
| High blood pressure | 64 (53) |
| Stress | 23 (19) |
| Diabetes | 7 (6) |
| Witchcraft | 1 (1) |
| Drug reaction | 2 (2) |
| Overworking | 6 (5) |
| Defaulting diabetes/hypertension drugs | 4 (3) |
| Overweight | 3 (2) |
| Unft | 1 (1) |
| Don't know | 10 (8) |
| Hereditary | 2 (2) |
| Circulation problems | 2 (2) |
| HIV/AIDS | 1 (1) |
| Faith healing | 24 (76) |
| Traditional/herbal | 5 (16) |
| Other | 3 (9) |
| Medical personnel | 44 (44) |
| Community | 51 (51) |
| Self-sought knowledge | 5 (5) |
Factors contributing to hospital arrival time after stroke onset
| Factors | Time to hospital | Odds ratio (95%) | P-value | |
| Late | Early | |||
| Male | 30 | 7 | Reference | |
| Female | 52 | 14 | 0.87 (0.31 to 2.39) | 0.78 |
| Urban | 53 | 17 | Reference | |
| Rural | 29 | 4 | 2.33 (0.71 to 7.56) | 0.16 |
| No education | 8 | 3 | Reference | |
| Primary | 49 | 14 | 1.31 (0.31 to 5.62) | 0.71 |
| Secondary | 23 | 3 | 2.88 (0.48 to 17.24) | 0.25 |
| Tertiary | 2 | 1 | 0.75 (0.05 to 11.65) | 0.84 |
| Alone | 4 | 2 | Reference | |
| Not alone | 78 | 19 | 2.05 (0.35 to 12.05) | 0.43 |
| Home | 70 | 16 | Reference | |
| Work | 4 | 2 | 0.46 (0.08 to 2.72) | 0.39 |
| Other | 8 | 3 | 0.61 (0.15 to 2.56) | 0.50 |
| Yes | 60 | 18 | Reference | |
| No | 22 | 3 | 2.20 (0.59 to 8.20) | 0.24 |
| Yes | 37 | 14 | Reference | |
| No | 45 | 7 | 2.43 (0.89 to 6.65) | 0.083 |
| Conscious | 81 | 18 | Reference | |
| Unconscious | 14 | 2 | 1.43 (0.29 to 7.06) | 0.66 |
| Alone | 16 | 4 | Reference | |
| Not alone | 65 | 17 | 0.96 (0.28 to 3.23) | 0.94 |
| Yes | 41 | 7 | Reference | |
| No | 41 | 14 | 0.50 (0.18 to 1.37) | 0.18 |
| Yes | 32 | 17 | Reference | |
| No | 50 | 4 | 6.64 (2.05 to 21.53) | 0.002 |
| Yes | 25 | 10 | Reference | |
| No | 57 | 11 | 2.07 (0.78 to 5.51) | 0.14 |
| Private transport | 50 | 16 | Reference | |
| Ambulance | 9 | 0 | - | |
| Public transport | 23 | 5 | 1.47 (0.48 to 4.51) | 0.50 |
| Yes | 39 | 11 | Reference | |
| No | 43 | 10 | 1.21 (0.46 to 3.17) | 0.69 |
| Medical personnel | 38 | 6 | Reference | |
| Community | 43 | 16 | 0.46 (0.15 to 1.39) | 0.17 |
Significant at α = 0.05