Results
Description of the studied variable:
Demographic variables and other variables were described using descriptive statistics including average; standard deviation; frequency and percentage.
- 1)
Level of consciousness
Table 1.
Frequency distribution of consciousness level variables.
Table 1.
Frequency distribution of consciousness level variables.
| Level of consciousness |
Frequency |
Percent |
| 13 |
126 |
28/3 |
| 14 |
1 |
2/0 |
| 15 |
318 |
71/5 |
| Total |
445 |
100 |
According to the table; the level of consciousness for patients in level 13 were %28/3 and %71/5 of them were at level 15.
- 2)
Reason for referral
Table 2.
Frequency distribution of patients by reason of referral.
Table 2.
Frequency distribution of patients by reason of referral.
| Reason for referral |
Frequency |
Percent |
| Fall |
134 |
30/1 |
| Car accident |
163 |
36/6 |
| Slip |
16 |
3/6 |
| Epilepsy |
3 |
0/7 |
| Conflict |
45 |
10/1 |
| collision with hard object |
84 |
18/9 |
| Total |
445 |
100 |
According to this table; out of 445 patients; 36/6% referred to the emergency department due to car accident and 0/7% due to epilepsy.
- 3)
Age
Table 3.
Frequency distribution of age group of patients.
Table 3.
Frequency distribution of age group of patients.
| Age group |
Frequency |
Percent |
| 1-10 |
42 |
9/4 |
| 11-20 |
54 |
12/1 |
| 21-30 |
110 |
24/7 |
| 31-40 |
89 |
20/0 |
| 41-50 |
63 |
14/2 |
| 51-60 |
39 |
8/8 |
| 61-70 |
25 |
5/6 |
| >70 |
23 |
5/2 |
| Total |
445 |
100 |
According to the table; the age group of 12-30 years had the highest frequency and the age group over 70 years had the lowest frequency.
- 4)
Sex
Table 4.
Frequency distribution of patients by sex.
Table 4.
Frequency distribution of patients by sex.
| Sex |
Frequency |
Percent |
| Male |
257 |
57/8 |
| Female |
188 |
42/2 |
| Total |
445 |
100 |
According to table; 445 patients were studied that 257 of them were male and 188 were female. Therefore; the percentage of male clients is more than woman.
- 5)
Pathological symptoms
Table 5.
frequency distribution of the studied samples by pathological symptoms.
Table 5.
frequency distribution of the studied samples by pathological symptoms.
| Pathological symptoms |
Frequency |
Percent |
| No symptoms |
393 |
88/3 |
| Injury |
22 |
4/9 |
| Mild symptoms |
20 |
4/5 |
| General symptoms |
6 |
1/3 |
| Meningitis |
4 |
0/9 |
| Total |
445 |
100 |
According to the table; 88/3% of the patients referred were asymptomatic and only 0/9% of them presented with meningitis symptoms.
- 6)
Clinical symptoms
Table 6.
Frequency distribution of samples by clinical signs.
Table 6.
Frequency distribution of samples by clinical signs.
| Clinical symptom |
Frequency |
Percent |
Nausea; vomiting; Headache; hematoma; Loss of consciousness and dizziness |
76 |
17/1 |
| Headache; Nausea and dizziness |
159 |
35/7 |
| Coma |
5 |
1/1 |
| Headache |
205 |
46/1 |
| Total |
445 |
100 |
According to the table, the highest frequency of clinical symptoms was related to headache and 36% were presented with symptoms such as headache; nausea and dizziness.
- 7)
Reason for requesting a CT scan
Table 7.
Frequency distribution of samples by CT scan applicant.
Table 7.
Frequency distribution of samples by CT scan applicant.
| Applicant for CT scan. |
Frequency |
Percent |
| Doctor |
443 |
99/6 |
| Patient |
2 |
0/4 |
| Total |
445 |
100 |
According to the table, 99/6% of the requests for CT scan were from the doctor and only 2 out of 445 people (4.0%) had performed CT scan at their own request.
- 8)
Reason for discharge.
Table 8.
Frequency distribution of the studied samples according to the cause of discharge.
Table 8.
Frequency distribution of the studied samples according to the cause of discharge.
| Reason for discharge |
Frequency |
Percent |
| Doctor |
313 |
73/1 |
| Patient |
111 |
25/9 |
| Escape |
4 |
0/9 |
| Total |
428* |
100 |
According to the table, about 73% of the patients were discharged with request of the doctor and 0.9% of the patients were escaped.
- 9)
Underlying disease
Table 9.
Frequency distribution of samples by underlying disease.
Table 9.
Frequency distribution of samples by underlying disease.
| Underlying disease |
Frequency |
Percent |
| Blood pressure |
45 |
10/1 |
| History of surgery |
14 |
3/2 |
| Epilepsy |
9 |
2/0 |
| NO disease |
371 |
83/6 |
| Asthma |
5 |
1/1 |
| Total |
444* |
100 |
According to the table, about 84% of patients had no underlying disease and 1/1% had Asthma.
- 11)
Addiction or allergies
Table 11.
Frequency distribution of samples according to the presence or absence of addiction or sensitivity.
Table 11.
Frequency distribution of samples according to the presence or absence of addiction or sensitivity.
| Addiction or sensitivity |
Frequency |
Percent |
| Negative |
409 |
92/1 |
| Positive |
35 |
7/9 |
| Total |
444* |
100 |
According to the table, about 92% of patients were not addicted or allergic and about 8% of the samples answered positively.
- 12)
Duration of hospitalization
Table 12.
Frequency distribution of patients according to length of hospital stay.
Table 12.
Frequency distribution of patients according to length of hospital stay.
| Duration of hospitalization |
Frequency |
Percent |
| Maximum 24 hours |
315 |
73/4 |
| More than 24 hours |
114 |
26/6 |
| Total |
429 |
100 |
According to the table, 73/4% of patients were discharged from the hospital within 24 hours and only 26/6% of patients were hospitalized for more than 24 hours.
- 13)
Hospitalization in other wards of the hospital
Table 13.
Frequency distribution of patients according to hospitalization in other wards of the hospital.
Table 13.
Frequency distribution of patients according to hospitalization in other wards of the hospital.
| Hospital sections |
Frequency |
Percent |
| Emergency |
328 |
74/0 |
| ICU 1 |
23 |
5/2 |
| ICU 2 |
41 |
9/3 |
| Neurology |
51 |
11/5 |
| Total |
443 |
100 |
According to the table, 74% of patients were hospitalization to the outpatient emergency department of the hospital and 5/2% were admitted to the ICU 1 ward.
Investigation of research hypotheses
In this part of the study, the relationship between duration of hospitalization and other variables was examined using independent t-test, Chi-square. It should be noted that wherever the Chi-square test default was not met, Fisher's exact test was used.
- 1)
Investigating the relationship between level of consciousness and duration of hospitalization.
Table 1.
Investigating the relationship between level of consciousness and duration of hospitalization using Fisher's exact test.
Table 1.
Investigating the relationship between level of consciousness and duration of hospitalization using Fisher's exact test.
| |
|
Duration of hospitalization |
Total |
Fisher's exact test result |
| 24 hours |
More than 24 hours |
| Level of consciousness |
00/13 |
47 |
75 |
122 |
Value< 001/0 P- |
| 00/14 |
0 |
1 |
1 |
| 00/15 |
268 |
38 |
306 |
| Total |
|
315 |
114 |
429 |
|
According to the table from 122 patients, that were at the level of consciousness 13, 75 persons were hospitalized for more than 24 hours. While from 306 patients with a level of consciousness 15, only 38 were hospitalized for more than 24 hours.
- 2)
Investigating relationship between the reason for referral and duration of hospitalization
Table 2.
Investigating the relationship between reason for referral and length of hospital stay using Fisher's exact test.
Table 2.
Investigating the relationship between reason for referral and length of hospital stay using Fisher's exact test.
| |
|
Duration of hospitalization |
Total |
Fisher's exact test result |
| 24 hours |
More than 24 hours |
| Reason for referral |
Fall |
90 |
40 |
130 |
Value< 001/0P |
| Car accident |
114 |
43 |
157 |
| Slip |
12 |
3 |
15 |
| Epilepsy |
1 |
2 |
3 |
| Conflict |
25 |
18 |
43 |
| collision with hard object |
73 |
8 |
81 |
| Total |
|
315 |
114 |
429 |
|
According to the table, there was a statistically significant relationship between the reason for referral and duration of hospitalization stay at the level of 0.05. For example, out of 43 patients referred because of conflict, 18 persons (approximately 42%) were hospitalized for more than 24 hours. Of the 81 patients who presented because of collision with hard object, only 8 (approximately 10%) were hospitalized for more than 24 hours.
- 3)
Investigating the relationship between age and duration of hospitalization
Table 3.
Investigating the relationship between age and duration of hospitalization stay using independent t-test.
Table 3.
Investigating the relationship between age and duration of hospitalization stay using independent t-test.
| Duration of hospitalization |
Sample size |
Average |
The standard error |
T statistics |
P-value |
| Maximum 24 hours |
315 |
66/34 |
10/1 |
26/0 |
793/0 |
| More than 24 hours |
114 |
21/35 |
68/1 |
|
|
According to the average age table, patients who were hospitalized for more than 24 hours are more than patients who were hospitalized for a maximum of 24 hours. But this mean difference was not statistically significant at the level of 0.05.
- 4)
Investigating the relationship between gender and duration of hospitalization
Table 4.
Investigating the relationship between gender and duration of hospitalization using Chi-square test.
Table 4.
Investigating the relationship between gender and duration of hospitalization using Chi-square test.
| |
|
Duration of hospitalization |
Total |
Chi-square test result |
| 24 hours |
More than 24 hours |
| Sex |
Male |
180 |
66 |
246 |
019/0Chi-square=889/0P-value= |
| Female |
135 |
48 |
183 |
| Total |
315 |
114 |
429 |
|
According to the table, there is no statistically significant relationship between gender and duration of hospitalization
- 5)
Investigating the relationship between pathological symptoms and duration of hospitalization
Table 5.
Evaluation of the relationship between pathological symptoms and duration of hospitalization using Fisher's exact test.
Table 5.
Evaluation of the relationship between pathological symptoms and duration of hospitalization using Fisher's exact test.
| |
|
Duration of hospitalization |
Total |
The result of Fisher's exact test |
| 24 hours |
More than 24 hours |
| Reason for referral |
No symptoms |
296 |
85 |
381 |
001/0P-value< |
| Injury |
12 |
8 |
20 |
| Mild symptoms |
3 |
15 |
18 |
| general symptoms |
4 |
2 |
6 |
| Meningitis |
0 |
4 |
4 |
| Total |
|
315 |
114 |
|
According to the table, the result of Fisher's exact test was significant at the level of 0.05. That is, there is a statistically significant relationship between the reason for referral and the length of hospital stay. For example; 18 persons with mild symptoms were hospitalized for 24 hours. while from the 20 injured 8 persons were hospitalization for more than 24 hours.
- 6)
Evaluation of the relationship between clinical symptoms and duration of hospitalization
Table 6.
Evaluation of the relationship between clinical symptoms and duration of hospitalization.
Table 6.
Evaluation of the relationship between clinical symptoms and duration of hospitalization.
| |
|
Duration of hospitalization |
Total |
The result of Fisher's exact test |
| 24 hours |
More than 24 hours |
| Reason of referral |
Nausea; Vomiting; Headache; hematoma; loss of consciousness and dizziness |
41 |
30 |
71 |
001/0P-value= |
Headache; Vomiting and dizziness |
109 |
47 |
156 |
| Coma |
4 |
1 |
5 |
| Headache |
161 |
36 |
197 |
| Total |
|
315 |
114 |
429 |
|
According to the table, there was a statistically significant relationship between the reason for referral and the duration of hospitalization. As can be seen, the proportion of samples who were hospitalized for more than 24 hours is not homogeneous in different groups.
- 7)
Investigating the relationship between duration of hospitalization stay and the person requesting a CT scan
Table 7.
investigating the relationship between duration of hospitalization stay and the person requesting a CT scan.
Table 7.
investigating the relationship between duration of hospitalization stay and the person requesting a CT scan.
| |
|
Duration of hospitalization |
Total |
The result of Fisher's exact test |
| 24 hours |
More than 24 hours |
| Request |
Doctor |
314 |
113 |
427 |
461/op-value= |
| Patient |
1 |
1 |
2 |
| Total |
|
315 |
114 |
429 |
|
According to the table, no significant relationship was observed between the length of hospital stay and the person requesting the CT scan.
- 8)
Investigating the relationship between discharge cause and duration of hospitalization stay using Fisher's exact test
Table 8.
investigating the relationship between discharge cause and duration of hospitalization stay using Fisher's exact test.
Table 8.
investigating the relationship between discharge cause and duration of hospitalization stay using Fisher's exact test.
| |
|
Duration of hospitalization |
Total |
Fisher's exact test |
| 24 hours |
More than 24 hours |
| |
Doctor |
226 |
86 |
312 |
838/0P-value= |
| Patient |
83 |
27 |
110 |
| Scape |
3 |
1 |
4 |
| Total |
|
312 |
114 |
426 |
|
According to the table, there was a significant relationship between the cause of the drawing and the duration of hospitalization.
- 9)
Investigating the relationship between underlying disease and duration of hospitalization using Fisher test.
Table 9.
investigating the relationship between underlying disease and duration of hospitalization stay using Fisher's exact test.
Table 9.
investigating the relationship between underlying disease and duration of hospitalization stay using Fisher's exact test.
| |
|
Duration of hospitalization |
Total |
The result of Fisher's exact test |
| 24 hours |
More than 24 hours |
| Underlying disease |
Blood pressure |
32 |
12 |
44 |
970/0P-value |
| History of surgery |
10 |
4 |
14 |
| Epilepsy |
7 |
1 |
8 |
| No disease |
261 |
96 |
357 |
| Asthma |
4 |
1 |
5 |
| Total |
|
314 |
114 |
428 |
|
According to the table, there was no statistically significant relationship between the underlying disease and the duration of hospitalization.
- 10)
Investigating the relationship between duration of hospitalization and sensitivity or addiction
Table 10.
investigating the relationship between duration of hospitalization and sensitivity or addiction using Chi-square test.
Table 10.
investigating the relationship between duration of hospitalization and sensitivity or addiction using Chi-square test.
| |
|
Duration of hospitalization |
Total |
Chi-square test result |
| 24 hours |
More than 24 hours |
| Addiction and sensitivity |
Negative |
297 |
100 |
397 |
87/5Chi-square= 015/0-value= |
| Positive |
17 |
14 |
31 |
| Total |
|
314 |
114 |
428 |
|
According to the table, about a quarter of the samples who were not allergic or addicted were hospitalized for more than 24 hours and 14 of the 31 patients with allergies or addictions were hospitalized for more than 24 hours.
- 11)
Investigating the relationship between hospitalization time and hospitalization in other wards
Table 11.
investigating the relationship between duration of hospitalization and hospitalization in other wards.
Table 11.
investigating the relationship between duration of hospitalization and hospitalization in other wards.
| |
|
Duration of hospitalization |
Total |
Chi-square test result |
| 24 hours |
More than 24 hours |
| Hospitalized in other wards |
Emergency |
310 |
11 |
321 |
40/350 Chi-square= 001/0P-value< |
| ICU 1 |
2 |
21 |
23 |
| ICU2 |
1 |
36 |
37 |
| Neurology |
2 |
46 |
48 |
| Total |
|
315 |
114 |
429 |
|
According to the table, there is a statistically significant relationship between the variables duration of hospitalization and hospitalization in other wards