7. Limitations
Purpose
Acknowledge the constraints, biases, or limitations of the study.
Details
Threats to Validity: 1. Synthetic Data: The primary limitation is that all data is synthetic. The correlations between variables were deliberately injected by the data generation script rather than naturally observed. 2. Omitted Variable Bias: The model lacks complex clinical variables (e.g., comorbidity indices, specific diagnoses) and detailed geospatial data (travel time to clinic), which likely confound attendance behavior in reality. 3. Cross-Sectional Nature: The study takes a cross-sectional approach over a 12-month period. It cannot definitively establish causal sequences for behavioral variables.
Reflection, Learning & Renewal: Utilizing AI to draft limitations helped ensure standard epidemiological threats (like omitted variable bias) were articulated clearly. In future real-world studies, we would rely strictly on human methodological experts to identify contextual nuances not apparent to general-purpose AI tools.