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7. Efficacy of Group Motivational Interviewing (GMI) for Psychiatric Inpatients with Chemical Dependence

Author

Santa Ana, Elizabeth J., Wulfert, Edelgard, and Nietert, Paul J.

Abstract

Dually diagnosed patients with chemical dependency and a comorbid psychiatric disorder typically show poor compliance with aftercare treatment, which may result in costly and pervasive individual and societal problems. In this study, the authors investigated the effect of adding motivational interviewing in a group format to standard treatment for dually diagnosed psychiatric inpatients. The patients (n = 101) all received standard care and in addition were assigned to either group motivational interviewing (GMI) or a therapist attention activity control group (TAAC). Of patients who attended aftercare and who used alcohol or drugs, those who participated in GMI attended significantly more aftercare treatment sessions, consumed less alcohol, and engaged in less binge drinking at follow-up compared with those in TAAC. Differences between conditions in the overall percentage of participants who achieved complete abstinence or who attended aftercare treatment were not significant, possibly because of a lack of power. These results provide preliminary evidence for the efficacy of GMI when added at the outset to an inpatient program.

Published
2007

13. List of Contributors

Author

Abraham, Amanda J., primary, Ait-Daoud, Nassima, additional, Alessi, Sheila M., additional, Alexander, James F., additional, Ames, Susan L., additional, Anderson, Peter, additional, Bedi, Gillinder, additional, Belon, Katherine E., additional, Bendtsen, Preben, additional, Bhatti, Junaid, additional, Bickel, Warren K., additional, Bittinger, Joyce N., additional, Blanchette-Martin, Nadine, additional, Blume, Arthur W., additional, Borsari, Brian, additional, Bray, Robert M., additional, Brensilver, Matthew, additional, Brewer, Colin, additional, Brody, Janet L., additional, Brown, Barry S., additional, Brown, Janice M., additional, Brown, Thomas G., additional, Brown, Edson Sherwood, additional, Budney, Alan J., additional, Burgess, Douglas M., additional, Campbell, E. Cabrina, additional, Caroff, Stanley N., additional, Carroll, Kathleen M., additional, Carter, Adrian, additional, Casares López, María José, additional, Catalano, Richard F., additional, Chakravorty, Subhajit, additional, Cheatle, Martin D., additional, Clancy, Luke, additional, Cohen, Jason, additional, Collins, Rick, additional, Cooper, Ziva D., additional, Cornelius, Jack R., additional, Cronce, Jessica M., additional, D’Amico, Elizabeth J., additional, Dadich, Ann, additional, Darkes, Jack, additional, Dawe, Sharon, additional, de Jong, Menno D.T., additional, De Leon, George, additional, Deane, Frank P., additional, Dennis, Michael L., additional, Di Leo, Ivana, additional, Dingle, Genevieve, additional, Drake, Robert E., additional, Duffy, Sarah Q., additional, Dundon, William D., additional, Esposito, Alex Z., additional, Fagan, Abigail A., additional, Fareed, Ayman, additional, Fell, James C., additional, Ferland, Francine, additional, Flynn, Patrick M., additional, Ford, Julian D., additional, George, William H., additional, George, Tony P., additional, Godley, Susan H., additional, Godley, Mark D., additional, Gold, Mark S., additional, Gordon, Adam J., additional, Gosselt, Jordy F., additional, Gould, Michele, additional, Grabowski, John, additional, Granato, Hollie F., additional, Grant, Jon E., additional, Grella, Christine, additional, Grossbard, Joel R., additional, Guttman, Kelly, additional, Gwartney, Daniel, additional, Haighton, Catherine A., additional, Haji-Khamneh, Bahar, additional, Hall, Wayne, additional, Haney, Margaret, additional, Hawkins, J. David, additional, Heberlein, Annemarie, additional, Heinzerling, Keith, additional, Herin, David, additional, Herkov, Michael J., additional, Herman, Aryeh I., additional, Hides, Leanne, additional, Higley, Amanda E., additional, Hillemacher, Thomas, additional, Hoffman, Kim A., additional, Holmes, Jacqueline K., additional, Hopwood, Max, additional, Houston, Jaime L., additional, Hunt, Yvonne, additional, Hunter, Sarah B., additional, Hurford, Irene M., additional, Jardin, Bianca, additional, Johnsson, Kent, additional, Jones, Alexis M., additional, Kaner, Eileen F.S., additional, Kaufman, Annette, additional, Kavanagh, David J., additional, Kelly, Peter J., additional, Kerfoot, Karin E., additional, Kilmer, Jason R., additional, Kingree, Jeffrey B., additional, Kinsey, Berma M., additional, Koo, Kelly H., additional, Kosten, Thomas R., additional, Krumm, Margaret M., additional, Krupitsky, Evgeny, additional, Lane, Marian E., additional, Larimer, Mary E., additional, Larios, Sandra E., additional, Leal, Nerida L., additional, Ledgerwood, David M., additional, Lee, Jonathan C., additional, Lee, Christine M., additional, Lehman, Wayne E.K., additional, M. Lenk, Kathleen, additional, Liao, Yue, additional, Liddle, Howard A., additional, Litt, Mark D., additional, Logan, Diane, additional, Lostutter, Ty W., additional, Loxton, Natalie J., additional, Lucke, Jayne, additional, Lybrand, Janice, additional, Lyons, Geoffrey C.B., additional, Mallett, Kimberly, additional, Mann, Stephan C., additional, Manuel, Jennifer K., additional, Marlowe, Douglas B., additional, Marsch, Lisa A., additional, Martino, Steve, additional, Mason, Barbara J., additional, Mastroleo, Nadine R., additional, Mathers, Bradley, additional, McCarty, Dennis, additional, Mercer, Delinda, additional, Meyers, Robert J., additional, Miles, Jeremy N.V., additional, Mooney, Marc, additional, Morasco, Benjamin J., additional, Mueser, Kim T., additional, Muir, Joan A., additional, Nelson, Toben F., additional, Newbury-Birch, Dorothy, additional, Newville, Howard, additional, Nguyen, Hong V., additional, Nicholson, Lisa, additional, Noordsy, Douglas L., additional, O’Farrell, Timothy J., additional, Odlaug, Brian L., additional, Orson, Frank M., additional, Paddock, Susan M., additional, Pasch, Keryn E., additional, Patkar, Ashwin A., additional, Pedersen, Eric R., additional, Petrakis, Ismene L., additional, Pettinati, Helen M., additional, Ponce, Guillermo, additional, Ponicki, William R., additional, Ramakrishnan, Muthu, additional, Riper, Heleen, additional, Robbins, Michael S., additional, Rohsenow, Damaris J., additional, Roman, Paul M., additional, Rubio, Gabriel, additional, Santa Ana, Elizabeth J., additional, Schreiber, Liana R.N., additional, Schumm, Jeremiah A., additional, Schwartz, Seth J., additional, Scott, Christy K., additional, Serna, Brian, additional, Sheidow, Ashli J., additional, Shoptaw, Steven, additional, Smith, Jane Ellen, additional, Sofuoglu, Mehmet, additional, Soole, David W., additional, Sorensen, James L., additional, Soyka, Michael, additional, Stockwell, Tim, additional, Sussman, Steve, additional, Szapocznik, José, additional, Tait, Robert, additional, Toneatto, Tony, additional, Toomey, Traci L., additional, Treloar, Carla, additional, Turrisi, Rob, additional, van Hoof, Joris J., additional, Varvil-Weld, Lindsey, additional, Velazquez, Cayley E., additional, Waldron, Holly Barrett, additional, Walker, Denise D., additional, Watson, Barry C., additional, Whiteside, Ursula, additional, Willis, Belinda, additional, and Woods, Briana A., additional

Published
2013
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25. Weibull mixture regression for marginal inference in zero-heavy continuous outcomes.

Author

Gebregziabher, Mulugeta, Voronca, Delia, Teklehaimanot, Abeba, Ana, Elizabeth J. Santa, and Santa Ana, Elizabeth J

Subjects
NEGATIVE binomial distribution, GAUSSIAN distribution, DATA analysis, MENTAL illness, WEIBULL distribution, SUBSTANCE abuse & psychology, SUBSTANCE abuse treatment, CLINICAL trials, COMPULSIVE behavior, COMPUTER software, PROBABILITY theory, REGRESSION analysis, STATISTICS, MOTIVATIONAL interviewing, TREATMENT effectiveness, STATISTICAL models
Abstract

Continuous outcomes with preponderance of zero values are ubiquitous in data that arise from biomedical studies, for example studies of addictive disorders. This is known to lead to violation of standard assumptions in parametric inference and enhances the risk of misleading conclusions unless managed properly. Two-part models are commonly used to deal with this problem. However, standard two-part models have limitations with respect to obtaining parameter estimates that have marginal interpretation of covariate effects which are important in many biomedical applications. Recently marginalized two-part models are proposed but their development is limited to log-normal and log-skew-normal distributions. Thus, in this paper, we propose a finite mixture approach, with Weibull mixture regression as a special case, to deal with the problem. We use extensive simulation study to assess the performance of the proposed model in finite samples and to make comparisons with other family of models via statistical information and mean squared error criteria. We demonstrate its application on real data from a randomized controlled trial of addictive disorders. Our results show that a two-component Weibull mixture model is preferred for modeling zero-heavy continuous data when the non-zero part are simulated from Weibull or similar distributions such as Gamma or truncated Gauss. [ABSTRACT FROM AUTHOR]

Published
2017
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32. Exploring the Minnesota Multiphasic Personality Inventory (MMPI)-3 in a Transgender and Gender Diverse Sample.

Author

Bryant, William T., Livingston, Nicholas A., McNulty, John L., Choate, Kurt T., Santa Ana, Elizabeth J., and Ben-Porath, Yossef S.

Subjects
*PERSONALITY, *RESEARCH methodology evaluation, *RESEARCH methodology, *GENDER-nonconforming people, *MENTAL health, *DISCRIMINANT analysis, *PSYCHOLOGICAL tests, *PSYCHOMETRICS, *PSYCHOSOCIAL factors, *DESCRIPTIVE statistics, *HEALTH equity, *TRANSGENDER people, *MINNESOTA Multiphasic Personality Inventory, *CISGENDER people, *EVALUATION, RESEARCH evaluation
Abstract

Comparisons of transgender and gender diverse (TGD) individuals' mental health functioning with that of cisgender individuals rely almost exclusively on screening measures. The limited research with TGD individuals and omnibus assessment measures has primarily used previous iterations of the Minnesota Multiphasic Personality Inventories (MMPIs). This study sought to examine the psychometric functioning of the MMPI-3 with a TGD community sample (n = 97) and compare mean scores across TGD and cisgender subsamples. We expected MMPI-3 substantive scale reliability to be comparable across all samples and subsamples. Individual MMPI-3 scales were expected to demonstrate appropriate convergent and discriminant validity with relevant criterion measures in the TGD sample. Results generally supported MMPI-3 scale score reliability and validity with TGD individuals. Next, three sets of mean score comparisons were conducted across all MMPI-3 substantive scales: (a) TGD individuals not currently in mental health treatment and the MMPI-3 normative sample, (b) TGD individuals not currently in mental health treatment and TGD individuals currently in mental health treatment, and (c) TGD individuals currently in mental health treatment and an outpatient mental health sample. Fewer differences were found between TGD individuals in our sample who were not currently in mental health treatment and the MMPI-3 normative sample compared to previous work. This initial study indicates that MMPI-3 scales largely have appropriate psychometric properties when administered to a TGD sample and that the test may be helpful in identifying mental health needs of TGD individuals. Needs and directions for further research are discussed. Public Significance Statement: This study found a broad measure of mental health functioning can be used to identify important areas of mental health needs for transgender and gender diverse (TGD) individuals. This is crucial for clinicians, health care organizations, and policy makers in calling attention to and addressing TGD mental health disparities at the individual and community levels. [ABSTRACT FROM AUTHOR]

Published
2024
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