Biomedical subjects

Catherine R Stein

Publications and source records attributed to Catherine R Stein.

4 recordsLinked to original sources

PubMed2006

The challenge of mapping between two medical coding systems.

OBJECTIVE: Deployable medical systems patient conditions (PCs) designate groups of patients with similar medical conditions and, therefore, similar treatment requirements. PCs are used by the U.S. military to estimate field medical resources needed in combat operations. Information associated with each of the 389 PCs is based on subject matter expert opinion, instead of direct derivation from standard medical codes. Currently, no mechanisms exist to tie current or historical medical data to PCs. Our study objective was to determine whether reliable conversion between PC codes and International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes is possible. METHODS: Data were analyzed for three professional coders assigning all applicable ICD-9-CM diagnosis codes to each PC code. Inter-rater reliability was measured by using Cohen's K statistic and percent agreement. Methods were developed to calculate kappa statistics when multiple responses could be selected from many possible categories. RESULTS: Overall, we found moderate support for the possibility of reliable conversion between PCs and ICD-9-CM diagnoses (mean kappa = 0.61). CONCLUSION: Current PCs should be modified into a system that is verifiable with real data.

Diagnosis-Related Groups↗

PubMed2005

Status of trauma care in U.S. Army hospitals.

OBJECTIVE: This study documents the recent trends and current state of inpatient trauma care in U.S. Army hospitals. METHODS: Inpatient trauma cases from Army hospitals worldwide from October 1988 through April 2001 were analyzed. Facilities included 3 Certified Trauma Centers (CTCs), 7 non-CTC Army Medical Centers, and 42 Army Community Hospitals. Logistic regression identified mortality risk factors. RESULTS: Overall, the Army treated 166,124 trauma cases, with a mortality rate of 0.8% (trend of 0.66% to 1.18% in fiscal years 1989-2000, p < 0.0001). The number of Army hospitals decreased by 44% and the number of trauma cases decreased by nearly 75%. Injury severity, patient age, hospital trauma volume, beneficiary category, hospital type, and a resource intensity measure were all significantly associated with the probability of death. CONCLUSIONS: The overall trauma mortality rate at Army hospitals during the study period was lower than that reported for civilian trauma centers. However, changes in patient profiles, increased average severity, and decreased trauma volume might have contributed to a 13% increase in mortality rates at CTCs.

Adolescent↗

PubMed2004

A disease and non-battle injury model based on Persian Gulf War admission rates.

BACKGROUND: Military planners must ensure adequate medical care for deployed troops-including care for disease and non-battle injuries (DNBI). This study develops a heuristic model with the three distinct phases of a warfighting operation (build-up, ground combat, post-combat) to assist in predicting DNBI incidence during warfighting deployments. METHODS: Inpatient healthcare records of soldiers deployed to the Persian Gulf War who were admitted with DNBI diagnoses were analyzed. DNBI admission rates for the three phases of the operation were examined and compared to rates for US Army Forces Command (FORSCOM) posts in the US. RESULTS: DNBI admission rates among the phases were distinctly different. The operation's overall rate and 95th percentile daily rate were less than the FORSCOM FY 1990 annual rate. CONCLUSIONS: The level of combat must be considered. The traditional use of average or overall rates should be abandoned when forecasting DNBI rates. Medical support projections should use separate 95th percentile DNBI admission rates for each of the phases.

Adult↗

PubMedDate not supplied

Effects of screening mammography on the comparative survival rates of African American, white, and Hispanic beneficiaries of a comprehensive health care system.

This study reviewed mammographic screening related to breast carcinoma diagnosis and treatment between 1987 and 1997 at Brooke Army Medical Center, San Antonio, TX. Epidemiologic data from the Department of Defense Automated Central Tumor Registry were merged with data from patients' medical records and responses of the patients or their families to a mailed survey. The cases of 907 women grouped by race-white, African American, and Hispanic-were analyzed. Breast carcinoma diagnosed by mammographic screening showed a reversed ratio of early to late stage of cancer occurring for all three groups. That ratio was 1.45 for African Americans, 2.67 for Hispanics, and 3.08 for whites. For those women diagnosed with screening mammography, no statistically significant difference in 5-year survival was found between the races: 86% for whites, 83% for Hispanics, and 80% for African Americans. Mammographic screening as a diagnostic tool appears to equalize survival among whites, Hispanics, and African Americans, in spite of differences in age, stage of diagnosis, and military rank used as a proxy for socioeconomic status. When not controlling for mammographic diagnosis, Kaplan-Meier analysis revealed significant differences in survival patterns between whites, Hispanics, and African Americans. Five-year survival rates were 71% for whites, 74% for Hispanics, and 53% for African Americans. Screening mammography reduced 5-year mortality by almost 59% in African Americans, 52% in whites, and 36% in Hispanics. Whites were diagnosed with breast carcinoma, on average, at 57 years of age-11 years later than African Americans (average age 46 years) and 7 years later than Hispanic women (average age 50 years). As a diagnostic tool, screening mammography was used to discover breast cancer in 36% of white women, 33% of Hispanics, and 22% of African Americans. Further research is recommended to examine the use of mammography among various racial/ethnic groups.

Adult↗