Multilevel Logistic Regression

Evidence quality

Other

Highlighted claims

• The analysis used multilevel logistic regression with random intercepts at the cluster level. — Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data
• The full adjusted model included individual, household, and community factors. — Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data
• Adjusted odds ratios with 95% confidence intervals were used to report fixed effects. — Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data
• Community variation was evaluated with intraclass correlation coefficient, median odds ratio, and proportional change in variance. — Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data
• The study used mixed-effects logistic regression because the survey data were clustered. — Spatial distribution and multilevel analysis of factors associated with healthcare access barriers among women of reproductive age in Somalia: insights from the 2020 Somalia Demographic and Health Survey
• The null model found that 17.5% of variance in reported barriers was attributable to unobserved community differences. — Spatial distribution and multilevel analysis of factors associated with healthcare access barriers among women of reproductive age in Somalia: insights from the 2020 Somalia Demographic and Health Survey
• The full model had the best fit but still left significant residual cluster variance. — Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data
• The median odds ratio of 2.22 indicated substantial between-community heterogeneity in healthcare access barriers. — Spatial distribution and multilevel analysis of factors associated with healthcare access barriers among women of reproductive age in Somalia: insights from the 2020 Somalia Demographic and Health Survey
• The full combined model was retained because it offered the most comprehensive explanation of individual and community influences. — Spatial distribution and multilevel analysis of factors associated with healthcare access barriers among women of reproductive age in Somalia: insights from the 2020 Somalia Demographic and Health Survey