Artificial Intelligence
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generate a major finding for this "COMMUNITY LEVEL ANTENATAL CARE Group N Mean Std. Deviation F Sig Good 82 7.55 1.044 3.327 .038 Fair 120 7.97 1.202 Poor 31 7.61 1.476 Total 233 7.77 1.202 From the table, with a sample size(N) of 82, the g


### Major Finding The analysis of community-level antenatal care indicates significant disparities in healthcare attendance based on the accessibility of services, challenging the initial assumption that proximity to healthcare would correlate inversely with attendance rates. Specifically, a statistically significant difference (p = 0.038) was observed among groups categorized by accessibility levels, with the fair accessibility group exhibiting the highest mean attendance (7.97). In contrast, the poor accessibility group had lower attendance (7.61) than the good accessibility group (7.55), despite the latter's expectation to have higher attendance due to proximity. Furthermore, child welfare clinic attendance highlights a stark contrast between accessibility levels, with a mean attendance of 45.39 in the good accessibility group, 35.99 in the fair group, and only 14.55 in the poor accessibility group. The extremely low p-value (p = 0.000) confirms a highly significant difference among the three groups, suggesting that individuals in well-served areas are almost three times more likely to attend health services than those in poorly served areas. In contrast, postnatal care attendance is uniform across all groups, with a mean attendance of 2 for each group, indicating no variability and suggesting that structural factors may limit access to postnatal care uniformly regardless of community accessibility. Thus, while accessibility significantly impacts antenatal and child welfare clinic attendance, it appears less relevant for postnatal care, pointing towards the need for tailored interventions that address the specifics of healthcare service delivery across different community contexts.