This application for an NIMH Mentored Research Scientist Career Development (K01) award entitled """"""""Measurement error in latent class models of adherence"""""""" seeks support to provide an intensive, mentored research experience, culminating in a successful investigator-initiated research award application and launching a career as an academic biostatistician focusing on developing statistical methods for difficult methodological problems affecting the validity of mental health services research. As part of the education plan, the PI will increase her understanding of mental disorders and the systems used to collect services research data and explore a new area of statistical methods (latent class and latent variable methods). The four-phase research plan focuses on measurement error, latent class and latent variable methods for research questions generated from the NIMH study of """"""""Prevention of Suicide in Primary Care Elderly: Collaborative Trial,"""""""" but apply to data from randomized trials in general. The conventional """"""""measurement models"""""""" under the SEM framework do not naturally accommodate validation data from a sub-sample. The classical and Berkson measurement models that appear in the statistical literature, offer different ways of incorporating validation data as a measurement error variance estimate like a variance component. The goals of the K and my future research focuses on incorporating these different measurement error approaches. Phase 1 is designed to understand how patterns of adherence are related to depression trajectories and how the tow influence treatment effects. This phase will focus on generating knowledge of latent class and latent variable methodology with application to the PROSPECT study. Phase 2 focuses on estimating measurement error in the measures of adherence. Phase 3 uses results from Phases 1 and 2 to adjust latent class/variable results for error in the measurement of adherence. Phase 4 will use everything learned in Phase 1, 2, and 3 to guide the development of a NIH R01 for statistical methods that accurately accommodate measurement error. In addition, Bayesian model averaging is proposed to account for model error by eliminating the choice of the number of latent classes. This research plan will provide useful tools that will aid in the design and analysis of other mental health services studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01MH073903-04
Application #
7749933
Study Section
Special Emphasis Panel (ZMH1-ERB-B (05))
Program Officer
Hill, Lauren D
Project Start
2007-02-01
Project End
2011-12-31
Budget Start
2010-01-01
Budget End
2010-12-31
Support Year
4
Fiscal Year
2010
Total Cost
$137,845
Indirect Cost
Name
University of Pennsylvania
Department
Psychiatry
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Gallo, Joseph J; Hwang, Seungyoung; Joo, Jin Hui et al. (2016) Multimorbidity, Depression, and Mortality in Primary Care: Randomized Clinical Trial of an Evidence-Based Depression Care Management Program on Mortality Risk. J Gen Intern Med 31:380-6
Bogner, Hillary R; Joo, Jin H; Hwang, Seungyoung et al. (2016) Does a Depression Management Program Decrease Mortality in Older Adults with Specific Medical Conditions in Primary Care? An Exploratory Analysis. J Am Geriatr Soc 64:126-31
Morales, Knashawn H; Kumanyika, Shiriki K; Fassbender, Jennifer E et al. (2014) Patterns of weight change in black Americans: pooled analysis from three behavioral weight loss trials. Obesity (Silver Spring) 22:2632-40
Bogner, Hillary R; de Vries, Heather F; O'Donnell, Alison J et al. (2013) Measuring concurrent oral hypoglycemic and antidepressant adherence and clinical outcomes. Am J Manag Care 19:e85-92
Gallo, Joseph J; Morales, Knashawn H; Bogner, Hillary R et al. (2013) Long term effect of depression care management on mortality in older adults: follow-up of cluster randomized clinical trial in primary care. BMJ 346:f2570
Bogner, Hillary R; de Vries, Heather F; Kaye, Elise M et al. (2013) Pilot trial of a licensed practical nurse intervention for hypertension and depression. Fam Med 45:323-9
Wittink, Marsha N; Morales, Knashawn H; Cary, Mark et al. (2013) Towards personalizing treatment for depression : developing treatment values markers. Patient 6:35-43
Bogner, Hillary R; Morales, Knashawn H; Reynolds 3rd, Charles F et al. (2012) Course of depression and mortality among older primary care patients. Am J Geriatr Psychiatry 20:895-903
Bogner, Hillary R; Morales, Knashawn H; Reynolds, Charles F et al. (2012) Prognostic factors, course, and outcome of depression among older primary care patients: the PROSPECT study. Aging Ment Health 16:452-61
Bogner, Hillary R; Morales, Knashawn H; de Vries, Heather F et al. (2012) Integrated management of type 2 diabetes mellitus and depression treatment to improve medication adherence: a randomized controlled trial. Ann Fam Med 10:15-22

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