PubMed Health⌕ Search

Biomedical subjects

E J Cumella

Publications and source records attributed to E J Cumella.

4 recordsLinked to original sources
PubMed2000

MMPI-2 in the inpatient assessment of women with eating disorders.

The MMPI-2 (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) reveals similar patterns across all Diagnostic and Statistical Manual of Mental Disorders (4th ed.; American Psychiatric Association, 1994) eating-disorder diagnoses. In this study, 550 women with eating disorders completed the MMPI-2. The 3 highest mean elevations for all eating-disorder diagnostic groups occurred on the same scales in the same order: 2, 7, and 3. The modal code for all groups was 2-7/7-2. However, multivariate analyses using the 16 validity and clinical scales, as well as the 27 content and supplementary scales, indicated that the MMPI-2 also distinguishes among eating disorders, especially in that patients with restricting anorexia report less psychopathology than other groups. These results are compared with the results of past eating-disorder research that used the older MMPI (Hathaway & McKinley, 1983).

Adolescent↗
PubMed1999

MMPI-A in the inpatient assessment of adolescents with eating disorders.

The MMPI-A (Butcher et al., 1992), like the older MMPI (Hathaway & McKinley, 1983), distinguishes between anorexia and bulimia. In this study, 245 adolescent girls diagnosed with anorexia, bulimia, or eating disorder not otherwise specified completed the MMPI-A. Multivariate analyses revealed significant differences between anorexia and bulimia on the MMPI-A's validity, clinical, content, and supplementary scales, particularly suggesting multiple impulse control problems among bulimic patients. However, profiles were also more homogeneous across eating disorder groups than in studies using the older MMPI, with high points involving some combination of Scales 1, 2, 3, and 0 for two thirds of the patients in this study. Implications are considered for understanding the common and differential psychopathology of eating disorders.

Adolescent↗
PubMed1988

Capitation payment: using predictors for medical utilization to adjust rates.

The current adjusted average per capita cost methodology has been strongly criticized because the subgroup classifications explain minimal interpatient variation in utilization, therefore providing incentives for biased selection. In this article, we review previous investigations of predictors of medical utilization that might be included in the adjusted average per capita cost: perceived health status, functional health status, prior utilization, clinical descriptors, sociodemographic characteristics, and other miscellaneous patient characteristics. The existing data are analyzed to assess what is known about the relative strength of various predictors. Gaps in the available literature and the implications for future research and policy are discussed.

Aged↗