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ISSN No:-2456-2165
C. STUDY SETTINGS:
The pilot study was conducted among Hospital Support
Staff at Civil hospital, Shillong, Meghalaya. The final study
N=138
80 73 (52.86%)
Number of participants
70 19- 32
60 53 (38.40%) 33- 46
50
47-60
40
30
20 12 (8.64%)
10
0
19- 32 33- 46 47-60
Age (in years)
Fig. 1: Bar graph showing the distribution of the participants according to age.
The data represented in figure 1 shows that out of 138 participants, maximum participants i.e., 73 (52.86%) participants
belong to the age group of 19-32 and minimum i.e., 12 (8.64%) participants belong to the age group of 47-60.
N=138
90 83(60.14%)
80
Number of participants
70
60 55(39.86%)
50
40 Male
30 Female
20
10
0
Male Female
Gender
Fig. 2: Bar graph showing the distribution of the participants according to gender
The data represented in figure 2 shows that out of 138 participants, maximum participants i.e., 83 (60.14%) participants are
male and 55 (39.86%) are female.
N=138
50
45(32.6%) Ward attendants
45
Security personnel
40 Technicians
37(26.8%)
35 Technical assistants
Number of participants
30(21.7%) OT assistants
30
25
20
15(10.8%)
15
11(7.9%)
10
0
Ward Security Technicians Technical OT assistants
attendants personnel assistants
Occupation
Fig. 3: Bar graph showing the distribution of the participants according to occupation
The data represented in figure 3 shows that out of 138 participants, maximum i.e., 45 (32.6%) participants are ward
attendants, and minimum i.e.,11 participants (7.9%) are OT assistants.
N=138
Ethnicity Frequency (f) Percentage (%)
Khasi 115 83.3 %
Assamese 9 6.5 %
Bengali 4 2.9 %
Mizo 3 2.2 %
Bihari 3 2.2 %
Keralites 2 1.5 %
Manipuri 1 0.7 %
Rajasthani 1 0.7 %
Table 1: Frequency and percentage distribution of the participants according to ethnicity
The data represented in table 1 shows that out of 138 participants, majority i.e., 115 (83.3%) participants are Khasi and
minimum i.e., 1 (0.7%) participant is manipuri and 1(0.7%) participant is Rajasthani.
n=89
100 N=138
89 (64.5%)
90 No
Number of participants 80 Yes
70
60
49 (35.5%)
50
40
30
20
10
0
No Yes
Previous history of blood donation
Fig. 4: Bar diagram showing distribution of the participants according to previous history of blood donation
The data represented in figure 4 shows that out of 138 previous history of blood donation and 49 (35.5%) have
participants, majority89 (64.5%) participants have no donated blood before.
The data represented in Table 2 shows that out of 89 approached by anyone to donate blood and minimum i.e.,
participants who had no previous history of blood donation, 5(5.62%) participants did not know the place to donate
maximum i.e., 29 (32.58%) participants were never blood.
N=138
Source of information Frequency (f) Percentage (%)
Health Professionals 76 55.1%
Friends and family 43 31.2%
Internet 12 8.7%
Television 6 4.3%
Newspaper 1 0.7%
Table 3: Frequency and percentage distribution of the participants according to their source of information regarding blood
donation
The data represented in Table 3 shows that out of 138 minimum i.e. 1(0.7%) participants have received the
participants, maximum i.e. 76(55.1%) participants have information regarding blood donation from newspaper.
received information from health professionals and
N=138
120
98 (71.01%)
100
80
Number of participants
60 Good
40 25 (18.12%) Average
20 15 (10.87%) Poor
0
Good Average Poor
Level of knowledge
Fig. 5: Bar diagram showing distribution of the participants according to their level of knowledge regarding blood donation
The data represented in figure 5 shows that out of 138 participants have good knowledge and minimum i.e., 15
participants, maximum i.e., 98 (71.01%) participants have (10.87%) participants have poor knowledge regarding blood
average knowledge regarding blood donation, 25 (18.12%) donation.
N=138
160
Number of participants
136(98.6%)
140
120
100
80
Favorable
60
Unfavorable
40
20 2(1.4%)
0
Favorable Unfavorable
Attitude
Fig. 6: Bar diagram showing distribution of the participants according to their type of attitude regarding blood donation
The data represented in figure 6 shows that out of (1.4%) participants have unfavourable attitude towards
138participants, maximum i.e., 136 (98.6%) participants blood donation.
have favourable attitude towards blood donation and only 2
N=138
Variable Mean SD
Knowledge 12.84 2.76
Table 4: Mean and standard deviation of knowledge score of participants regarding blood donation
Data in Table 4 shows that mean awareness score is 15 which signifies that majority of the subjects were having
12.84 which is more than 50% of maximum possible score average knowledge regarding blood donation.
i.e., 10 and less than 75% of maximum possible score i.e.,
N=138
Demographic v Awareness Score Fisher’s exact tes P value/ exact s Tabulated
ariables t value ignificance value
Gender Good Average Poor
Male 12 64 7
Table 5: Association of knowledge regarding blood donation with the gender of the participants
* p-value< 0.05
The data in Table 5 shows that the calculated value not significantly associated with gender. Therefore, the
i.e.,3.76 is more than the tabulated value i.e., 1.36. researcher concludes that awareness of the participants
Moreover, the exact significance is 0.152 which is greater regarding blood donation among Hospital Support Staff is
than p-value (<0.05). So, knowledge of the participants is not dependent on gender of the participants.
N=138
Demographic variables Awareness Score Fisher’s exact t P value/ exact s Tabulated v
est value ignificance alue
Yes
12 35 7
No
13 63 8 4.93 0.085 2.10
Table 6: Association of knowledge regarding blood donation with the previous history of blood donation of the participants
* p-value< 0.05
The study revealed that out of 89 participants who had [1.] Agarwal N, Pandey P, Kumar P. Promotion of
no previous history of blood donation, the reason stated for voluntary blood donation among hospital
not donating blood by majority i.e., 29(32.58%) of the employees. Journal of Family and Community
participants was “Never approached by anyone to donate Medicine. 2016 Sep 1;23(3):184.
blood”. A similar study conducted by DanielM.J., Prakash [2.] Siromani U, TsubakiT,Daniel D, Mammen J, Nair
H.M., Dhivya K.,et al, (2014) in Tamil Nadu revealed that S. A perspective study on the attitude to and
among 470 participants who had never donated blood practice of voluntary blood donation in a tertiary
before, the major reason for not donating blood among them referral hospital in South India. African Journal of
was that they were “Never asked to donate blood” Medical and Health Sciences. 2014 Jul 1;13(2):85.
[3.] National AIDS Control Organisation (NACO).
Assessment and Estimation of Blood Banks and
Blood Requirements in Meghalaya, India. Ministry
of health and family welfare. 2018.