Abstract Information


Missing data in spinal cord injury survey research: racial differences

1Chen Y, 2Lin H, 2Tseng T, 1Wen H, 1DeVivo M
1University of Alabama at Birmingham, Birmingham, Alabama, USA; 2Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA

Objective: Among people with spinal cord injury (SCI), minorities experience a disproportionately higher burden of diseases. Knowledge of data quality by race/ethnicity will help better design racial health disparity research and understand potential errors/biases. This study was conducted to document the extent of incompleteness in response to questions of sensitive topics and examine the role of race/ethnicity on data quality among individuals enrolled in a longitudinal SCI database.
Design/Method: This study included 7507 participants (5483 non-Hispanic whites, 1414 non-Hispanic blacks, and 610 Hispanics) enrolled in the National SCI Database who returned for follow-up between March 2001 and September 2006 when various psychosocial outcomes were included in the database. For those with more than one follow-up during the study period, status at the latest contact was included in the analyses. Missing data were defined as any missing, unknown or refusal response to the interview items. Socio-demographic variables were updated at each follow-up. Gender and neurologic deficits were assessed during initial hospital care. The mode of data collection was also documented. Multiple logistic regression was conducted to assess the effect of race/ethnicity on missing data for each outcome variable after accounting for potential confounding factors.
Results: The overall missing rate was 29.7%, 9.5%, 9.7%, 10.7%, 12.0%, and 9.8% for the Craig Handicap Assessment and Reporting Technique-Short Form (CHART) economic self-sufficiency subscale, CAGE questionnaire, drug use, Diener’s Satisfaction with Life Scale, Patient Health Questionnaire, and pain severity, respectively. The missing rate for the CHART measure was significantly higher among non-Hispanic blacks and Hispanics than among non-Hispanic whites, after controlling for demographics, injury factors, mode of data collection, and study sites. The missing data in the other outcome measures examined were also significantly higher among non-Hispanic blacks than among non-Hispanic whites but were not significantly different between Hispanics and non-Hispanic whites. Later post-injury years and a higher education level were associated with a lower missing data rate across all outcome variables. The study sites that had a higher loss to follow-up rate tended to have a lower missing data rate among respondents for all outcome measures except the CHART economic self-sufficiency scale. For most of the outcome variables, a higher missing rate was more common in males and in people having SCI at older age and more severe injury. Compared with other modes of data collection, the self-administered data collection method associated with a higher missing data rate for the depression variable (P = 0.004), but a lower missing rate for the drug use variable (P = 0.056).
Conclusion: Our study highlights the importance of research methodology designed to improve non-response or response incompleteness, particularly in non-Hispanic blacks. It also provides insight into the potential bias in SCI health disparity research that results from racial variation in data quality.
Support: National Institutes on Disability, Independent Living, and Rehabilitation Research (NIDILRR 90DP0083).


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