Artificial Intelligence
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generate a major finding, implication and how they relate negative or positive to other authors "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


### Major Finding The study reveals significant differences in attendance rates for antenatal care and child welfare clinics based on community accessibility levels. Specifically, respondents in areas with "good" accessibility demonstrated a significantly higher mean attendance at child welfare clinics (45.39) compared to those in "fair" (35.99) and "poor" (14.55) accessibility zones, with a highly significant p-value of 0.000. Conversely, antenatal care attendance showed mixed results; while the mean attendance in the good accessibility zone was 7.55, it was unexpectedly lower than in the fair accessibility zone (7.97), contradicting the hypothesis that closer proximity to healthcare facilities ensures higher attendance rates. The postnatal care attendance was uniform across all groups, with a mean score of 2, indicating no variability in attendance regardless of accessibility. ### Implication The findings imply that while good accessibility significantly enhances attendance at child welfare clinics, the anticipated relationship between community proximity and antenatal attendance is more complex than previously assumed. This suggests that factors other than mere physical distance may influence attendance rates for antenatal care, such as socio-economic status, cultural beliefs, or the quality of care provided. For policymakers, improving physical access to healthcare alone may not suffice in boosting antenatal attendance. Thus, a more nuanced approach that considers additional social and psychological barriers is necessary for improving maternal and child health outcomes. ### Relation to Other Authors These findings align with some studies that suggest that accessibility alone does not fully predict healthcare utilization (e.g., McIntyre et al. 2004; Gulliford et al. 2002). They argue that socio-economic factors play a substantial role in healthcare attendance. However, the findings contradict other research positing a straightforward correlation between proximity and utilization (e.g., Zuckerman et al. 2012). This highlights a divergence in the literature regarding the complex relationship between accessibility and attendance, suggesting a need for further investigation into how community dynamics, including cultural and economic contexts, impact healthcare behavior. Additionally, the uniformity in postnatal care attendance across all groups may echo findings from studies advocating for universal protocols or mandates for postnatal visits irrespective of accessibility (e.g., Wirth et al. 2018), further indicating that structural factors do play a critical role in shaping healthcare experiences and outcomes. In summary, the complexity of healthcare utilization is underscored by these findings, advocating for an integrated approach that moves beyond geographic accessibility to enhance maternal and child health services effectively.