Are Health Insurance Item Allocations in the American Community Survey Missing Completely at Random?

Area of Science:

• Survey methodology
• Health services research
• Demographic analysis

Background:

• Item allocation is essential for complete survey data.
• The American Community Survey (ACS) utilizes allocation for missing health insurance data.

Purpose of the Study:

• Investigate demographic variations in health insurance item allocation rates.
• Analyze how seven distinct health insurance coverage items are allocated across demographic groups.

Main Methods:

• Utilized the 2010 American Community Survey (ACS) 1-year Public Use Microdata Sample.
• Employed logistic regression modeling to calculate allocation rates.
• Examined allocation rates based on demographic variables.

Main Results:

• Higher odds of health insurance item allocation observed in males, individuals aged 65+, proficient English speakers, US citizens, and those out-of-poverty.
• Racial and ethnic minority groups exhibited increased odds of experiencing health insurance item allocation.
• Significant demographic disparities in health insurance coverage allocation were identified.

Conclusions:

• Health insurance coverage allocations are demonstrably linked to demographic characteristics.
• Further research is warranted to understand the mechanisms of missingness in health insurance data.
• Investigating allocation mechanisms is crucial for implications in frailty-related research.