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. 2023 Jan 12;16:41–50. doi: 10.2147/JMDH.S398569

Table 3.

Assessing the Association Between the Geographical Distribution of the Participants, the Type and Capacity of the Healthcare Facility in Which They Worked, and the Availability of HNS Services

Region Western (n=82) Eastern (n=10) Central (n=19) Southern (n=3) Northern (n=0) P-value
1. Participants who indicated that they have HNS services in their facilities 46 (56.1%) 2 (20.0%) 7 (38.8%) 0 (0.0%) 0 (0.0%) 0.015*
2. Participants who indicated they do not have HN Services in their facilities OR not aware of such service 36 (43.9%) 8 (80.0%) 12 (63.1%) 3 (100.0%) 0 (0.0%)
Type of health care facility MOH (n=31) Military hospitals (n=12) University teaching hospitals (n=23) Specialized hospitals (n=15) National guard hospitals (n=7) Medical cities (n=6) Security Forces Hospital (n=2) Private hospitals (n=18) P-value
1. Participants who indicated that they have HNS services in their facilities 21 (67.7%) 10 (83.3%) 5 (21.7%) 2 (13.3%) 3 (42.8%) 5 (83.3%) 0 (0.0%) 10 (55.5%) 0.001*
2. Participants who indicated they do not have HN Services in their facilities OR not aware of such service 10 (32.2%) 2 (16.6%) 18 (78.2%) 13 (68.6%) 4 (57.2%) 1 (16.6%) 2 (100%) 8 (44.4%)
Capacity of health care facility <100 beds (n=11) 100–250 beds (n=17) 251–500 beds (n=41) >500 bed (n=36) Do not know (n= 9) P-value
1. Participants who indicated that they have HNS services in their facilities 2 (18.1%) 11 (64.7%) 28 (68.2%) 12 (33.3%) 2 (22.2%) 0.001*
2. Participants who indicated they do not have HN Services in their facilities OR not aware of such service 9 (81.8%) 6 (35.2%) 13 (31.7%) 24 (66.6%) 7 (77.7%)

Notes: Data are presented as frequencies and percentages. Fisher’s exact test was used to determine the association between the categorial variables. *P <0.05 is statistically significant.