Abstract
It is important to find ways to identify prevalent co-occurring health risk factors to help facilitate treatment programming. One method is to use electronic medical record (EMR) data. Funderburk et al. (J Behav Med 31:525–535, 2008) used such data and latent class analysis to identify three classes of individuals based on standard health screens administered in Veterans Affairs primary care clinics. The present study extended these results by examining the health-related outcomes for each of these identified classes. Follow-up data were collected from a subgroup of the original sample (N = 4,132). Analyses showed that class assignment predicted number of diagnoses associated with the diseases that the health screens target and number of primary care behavioral health, and emergency room encounters. The findings illustrate one way an EMR can be used to identify clusters of individuals presenting with multiple health risk factors and where the healthcare system comes in contact with them.
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Agha, Z., Lofgren, R. P., VanRuiswyk, J. V., & Layde, P. M. (2000). Are patients at Veterans Affairs Medical Centers sicker? A comparative analysis of health status and medical resource use. Journal of the American Medical Association, 160, 3252–3257.
An, L. C., Zhu, S. H., Nelson, D. B., Arikian, N. J., Nugent, S., Partin, M. R., et al. (2006). Benefits of telephone care over primary care for smoking cessation: A randomized trial. Archives of Internal Medicine, 166, 536–542.
Berrigan, D., Dodd, K., Troiano, R. P., Krebs-Smith, S. M., & Barbash, R. B. (2003). Patterns of health behavior in U.S. adults. Preventive Medicine, 36, 615–623.
Bliese, P. D., Wright, K. M., Adler, A. B., Cabrera, O., Castro, C. A., & Hoge, C. W. (2008). Validating the primary care posttraumatic stress disorder screen and the posttraumatic stress disorder checklist with soldiers returning from combat. Journal of Consulting and Clinical Psychology, 76, 272–281.
Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Archives of Internal Medicine, 158, 1789–1795.
Calfas, K. J., Long, B. J., Sallis, J. F., Wooten, W. J., Pratt, M., & Patrick, K. (1996). A controlled trial of physician counseling to promote the adoption of physical activity. Preventive Medicine, 25, 225–233.
Coups, E. J., Gaba, A., & Orleans, T. (2004). Physician screening for multiple behavioral health risk factors. American Journal of Preventive Medicine, 27, 34–41.
Critchley, J. A., & Capewell, S. (2003). Mortality risk reduction associated with smoking cessation in patients with coronary heart disease: A systematic review. Journal of the American Medical Association, 290, 86–97.
Dhaliwal, S. S., & Welborn, T. A. (2009). Central obesity and cigarette smoking are key determinants of cardiovascular disease deaths in Australia: A public health perspective. Preventive Medicine, 49, 153–157.
Ely, A. C., Banitt, A., Befort, C., Hou, Q., Rhode, P. C., Grund, C., … Ellerbeck, E. (2008). Kansas primary care weighs in: A pilot randomized trial of a chronic care model program for obesity in 3 rural Kansas primary care practices. Journal of Rural Health, 24, 125–132.
Fine, L. J., Philogene, G. S., Gramling, R., Coups, E. J., & Sinha, S. (2004). Prevalence of multiple chronic disease risk factors: 2001 National Health Interview survey. American Journal of Preventive Medicine, 27, 14–18.
Fuchs, F. D., Chambless, L. E., Whelton, P. K., Nieto, F. J., & Heiss, G. (2001). Alcohol consumption and the incidence of hypertension: The Atherosclerosis Risk in Communities study. Hypertension, 37, 1242–1250.
Funderburk, J. S., Maisto, S. A., Sugarman, D. E., & Wade, M. (2008). The covariation of multiple risk factors in primary care: A latent class analysis. Journal of Behavioral Medicine, 31, 525–535.
Goldberg, D. P., Gater, R., Sartorius, N., Ustun, T. B., Piccinelli, M., Gureje, O., et al. (1997). The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychological Medicine, 27, 191–197.
Goldberg, D. P., & Williams, P. (1978). A user’s guide to the General Health Questionnaire. Windsor, UK: NFER-Nelson.
Goldstein, M. G., Whitlock, E. P., & DePue, J. (2004). Multiple behavioral risk factor interventions in primary care: Summary of research evidence. American Journal of Preventive Medicine, 27, 61–79.
Haapanen, N., Miilunpalo, S., Vuori, I., Oja, P., & Pasanen, M. (1997). Association of leisure time physical activity with the risk of coronary heart disease, hypertension, and diabetes in middle-aged men and women. International Journal of Epidemiology, 26, 739–747.
Hyman, D. J., Pavlik, V. N., Taylor, W. C., Goodrick, G. K., & Moye, L. (2007). Simultaneous vs. sequential counseling for multiple behavior change. Archives of Internal Medicine, 167, 1152–1158.
Institute for Clinical Systems Improvement. (2006). Prevention and management of obesity (mature adolescents and adults). Bloomington, MN: Institute for Clinical Systems Improvement.
Institute of Medicine. (1990). Alcohol problems: Broadening the base of treatment. Washington, DC: National Academy Press.
Jonas, B. S., Franks, P., & Ingram, D. D. (1997). Are symptoms of anxiety and depression risk factors for hypertension?: Longitudinal evidence from the National Health and Nutrition Examination survey I epidemiologic follow-up study. Archives of Family Medicine, 6, 43–49.
Katon, W., Fan, M., Unützer, J., Taylor, J., Pincus, H., & Schoenbaum, M. (2008). Depression and diabetes: A potentially lethal combination. Journal of General Internal Medicine, 23, 1571–1575.
Kisinger, L. S., Jones, K. R., Kahwati, L., Harvey, R., Burdick, M., Zele, V., et al. (2009). Design and dissemination of the MOVE!® Weight Management Program for Veterans. Preventing Chronic Disease, 6, 1–6.
Klatsky, A. L. (1996). Alcohol and hypertension. Clinica Chimica Acta, 246, 91–105.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2003). The PHQ-2. Medical Care, 41, 1284–1294.
Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., et al. (2009). A report from the American Heart Association Statistics Subcommittee and Stroke Statistics Subcommittee. Circulation, 119, 480–486.
McGinnis, J. M., & Foege, W. H. (1993). Actual causes of death in the United States. Journal of the American Medical Association, 270, 2207–2212.
National Institute on Drug Abuse. (2006). Tobacco addiction (No. NIH Publication No. 06-4342). Rockville, MD: National Institute on Drug Abuse.
Ockene, J. K., Adams, A., Hurley, T. G., Wheeler, E. V., & Hebert, J. R. (1999). Brief physician and nurse practitioner-delivered counseling for high-risk drinkers: Does it work? Archives of Internal Medicine, 159, 2198–2205.
Office of Policy and Planning. National Center for Veterans Analysis and Statistics. (2009). Analysis of unique veterans utilization of VA benefits & services. http://www.va.gov/vetdata/Report.asp. Accessed 12 July 2012.
Prins, A., Ouimette, P., Kimerling, R., Cameron, R. P., Hugelshofer, D. S., Shaw-Hegwer, J., … Sheikh, J. I. (2003). The primary care PTSD screen (PC-PTSD): Development and operating characteristics. Primary Care Psychiatry, 9, 9–14.
Prochaska, J. O. (2008). Multiple health behavior research represents the future of preventive medicine. Preventive Medicine, 46, 281–285.
Pronk, N. P., Anderson, L. H., Crain, A. L., Martinson, B. C., O’Connor, P. J., Sherwood, N. E., … Whitebird, R.R. (2004). Meeting recommendations for multiple healthy lifestyle factors: Prevalence, clustering, and predictors among adolescent, adult, and senior health plan members. American Journal of Preventive Medicine, 27, 25–33.
Rehm, J., Gmel, G., Sempos, C. T., & Trevisan, M. (2002). Alcohol-related morbidity and mortality. Alcohol Research & Health, 27, 39–51.
Rehm, J., Room, R., Graham, K., Monteiro, M., Gmel, G., & Sempos, C. T. (2003). The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease: An overview. Addiction, 98, 1209–1228.
Richardson, L. K., Egede, L. E., Mueller, M., Echols, C. L., & Gebregziabher, M. (2008). Longitudinal effects of depression on glycemic control in veterans with Type 2 diabetes. General Hospital Psychiatry, 30, 509–514.
Smit, F., Beekman, A., Cuijpers, P., de Graaf, R., & Vollebergh, W. (2004). Selecting key variables for depression preventions: Results from a population-based prospective epidemiological study. Journal of Affective Disorders, 81, 241–249.
Strik, J. J. M. H., Denollet, J., Lousberg, R., & Honig, A. (2003). Comparing symptoms of depression and anxiety as predictors of cardiac events and increased health care consumption after myocardial infarction. Journal of the American College of Cardiology, 42, 1801–1807.
U.S. Department of Health and Human Services. (1989). Reducing the health consequences of smoking: 25 years of progress: A report of the surgeon general (DHHS Publication No. CDC 89-8411). Rockville, MD: Office on Smoking and Health.
U.S. Department of Health and Human Services. (2003). The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure (No. NIH Publication No. 03-5233).
World Health Organization Brief Intervention Study Group. (1996). A cross-national trial of brief interventions with heavy drinkers. American Journal of Public Health, 86, 948–955.
Acknowledgments
This project was supported by funding from the Center for Integrated Healthcare, Syracuse Veterans Affairs Medical Center, Syracuse, NY. All the work for this project was done at the Syracuse Veterans Affairs Medical Center, 800 Irving Ave., Syracuse, NY 13210. The views expressed herein are those of the authors and do not necessarily reflect those of the Department of Veterans Affairs or other departments of the U.S. government.
Conflict of interest
Jennifer S. Funderburk, Stephen A. Maisto, Allison K. Labbe declare that they have no conflict of interest.
Ethical standard
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000. A waiver of informed consent was obtained for all data collected from the electronic medical record.
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Funderburk, J.S., Maisto, S.A. & Labbe, A.K. Health-Related Outcomes Associated with Patterns of Risk Factors in Primary Care Patients. J Clin Psychol Med Settings 21, 10–18 (2014). https://doi.org/10.1007/s10880-013-9376-x
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DOI: https://doi.org/10.1007/s10880-013-9376-x