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Biomedical subjects

Abigail Cohen

Publications and source records attributed to Abigail Cohen.

3 recordsLinked to original sources

Factors associated with perceptions of, and decisional balance for, condom use with main partner among women at risk for HIV infection.

We examined factors associated with women's perceived advantages (pros), perceived disadvantages (cons), and decisional balance (standardized pros score minus standardized cons score) for condom use with main partner. Data from 1,938 young sexually active women who lived in five U.S. cities where the risk for human immunodeficiency virus is high were analyzed by using logistic, ordinal, and multiple linear regression analysis. For the pros scale of condom use, 27% of the women had low scores, and 33% had moderate scores. For the cons scale, 27% had moderate scores, and 5% had high scores. Of the total, 47% had a negative score on the decisional balance measure. Older age, living with a spouse or partner, or binge drinking was associated with lower pros scores and with a negative score on the decisional balance measure. Income from public assistance was associated with higher pros scores. Income from a spouse or partner or a history of sexually transmitted disease was associated with lower pros scores. Multiple sex partners or being at risk for HIV infection (based on perceptions of the main partner's behaviors) was associated with higher cons scores. Income from a job was associated with a positive score on the decisional balance measure. Our analysis identified the characteristics of women who have low pros scores, high cons scores, and negative decisional balance scores. The regression results can inform our work in HIV prevention on whether to focus on the pros, the cons, or both to obtain positive decisional balance scores and increase condom use in situations that warrant protective behaviors.

Adolescent↗

Effect of medical, drug abuse, and mental health care on receipt of dental care by drug users.

We examined the association of patterns of health care in 1996 with subsequent dental care in 1997 or 1998 for 47,260 drug users enrolled in New York State Medicaid. From Medicaid files, we identified psychiatric care, prescribed antidepressants, a regular source of medical care, regular drug treatment (6+ contiguous months), and clinical conditions. Of this cohort, 58% received dental care. The adjusted odds ratios (AOR) of dental care were increased for drug users receiving psychiatric care and antidepressants (1.66 [1.55, 1.77]), psychiatric care alone (1.48 [1.41, 1.56]), or only antidepressants (1.18 [1.10, 1.27]), vs. neither. AORs of dental care were also higher for those with a regular source of medical care alone (1.27 [1.23, 1.35]) or with regular drug treatment (1.33 [CI 1.25, 1.41]) vs. neither. Mental health care and, to a lesser extent, a regular source of medical care and regular drug treatment may promote dental care in this vulnerable population.

Adolescent↗

Metadata tables to enable dynamic data modeling and web interface design: the SEER example.

A wealth of information addressing health status, outcomes and resource utilization is compiled and made available by various government agencies. While exploration of the data is possible using existing tools, in general, would-be users of the resources must acquire CD-ROMs or download data from the web, and upload the data into their own database. Where web interfaces exist, they are highly structured, limiting the kinds of queries that can be executed. This work develops a web-based database interface engine whose content and structure is generated through interaction with a metadata table. The result is a dynamically generated web interface that can easily accommodate changes in the underlying data model by altering the metadata table, rather than requiring changes to the interface code. This paper discusses the background and implementation of the metadata table and web-based front end and provides examples of its use with the NCI's Surveillance, Epidemiology and End-Results (SEER) database.

Databases, Factual↗