Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
AIDS and Behavior
Published in: AIDS and Behavior 5/2006

01-09-2006 | HIV Treatment Research Article

Development of Stage of Readiness and Decisional Balance Instruments: Tools to Enhance Clinical Decision-Making for Adherence to Antiretroviral Therapy

Authors: Gabrielle R. Highstein, Ph.D., Cynthia Willey, Linda M. Mundy

Published in: AIDS and Behavior | Issue 5/2006

Login to get access

Abstract

This study presents the development of Stage of Readiness (SOR) and decisional balance instruments based on the Transtheoretical Model of Behavior Change (TTM) to improve adherence to antiretroviral therapy (ART). These instruments were tested on HIV positive women who enrolled in an adherence support study at a women's HIV clinic at a mid-western medical school. The decisional balance instrument was analyzed and 8 of 11 items were retained. These items were validated by follow-up administration of the instrument. Baseline stage of change and decisional balance scores prospectively predicted 1-year viral load level, thus identifying participants in need of adherence support interventions. Use of these instruments can give a provider added objective data on which to base a decision to either prescribe ART immediately or to first implement an intervention tailored to enhance this patient's readiness to adhere.
Literature
Bangsberg, D. R., Charlebois, E. D., Grant, R. M., Holodniy, M., Deeks, S. G., Perry, S., Conroy, K. N., Clark, R., Guzman, D., Zolopa, A., and Moss, A. (2003). High levels of adherence do not prevent accumulation of HIV drug resistance mutations. AIDS, 17, 1925–1932.CrossRefPubMed
Bangsberg, D. R., Hecht, F. M., Charlebois, E. D., Zoolopa, A. R., and Holodniy, M. (2000). Adherence to protease inhibitors, HIV-1 viral load, and development of drug resistance in an indigent population. AIDS, 14, 357–366.CrossRefPubMed
Biswas, B., Highstein, G., and Mundy, L. M. (2004). Readiness for Adherence with Peer Support Components: A Model to Improve Adherence to Antiretroviral Therapy. Annual Meeting of Society for Social Work and Research; New Orleans, LA; January 15–18, Abstract#616.
Biswas, B., Highstein, G., and Mundy, L. M. (2005). Adding precision to theory-based, medication adhernce support interventions in HIV infection. Annual Meeting of Society for Social Work and Research; Miami, FLA; January 13–16, (Oral presention).
Carpenter, C. C., Cooper, D. A., Fischl, M. A., Gatell, J. M., Gazzard, B. G., Hammer, S. M., Hirsch, M. S., Jacobsen, D. M., Katzenstein, D. A., Montaner, J. S., Richman, D. D., Saag, M. S., Schechter, M., Schooley, R. T., Thompson, M. A., Vella, S., Yeni, P. G., and Volberding, P. A. (2000). Antiretroviral therapy in adults. Updated recommendations of the International AIDS Society—USA Panel. JAMA, 283, 381–390.
Catz, S. L., Meredith, K. L., and Mundy, L. M. (Jun 2001). Women's HIV transmission risk perceptions and nbehaviors in the era of potent antiretroviral therapies. AIDS Education & Prevention, 13(3), 239–251.CrossRef
Crane, J. R., Perlman, S., Meredith, K. L., Jeffe, D. B., Fraser, V. J., Lucas, A. M., and Mundy, L. M. (Dec 2000). Women with HIV: conflicts and synergy of prayer within the realm of medicaal care. AIDS Education & Prevention, 12 (6), 532–543.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef
DiClemente, C. C., Prochaska, J. O., Fairhurst, S. K., Velicer, W. F., Velasquez, M. M., and Rossi, J. S. (1991). The process of smoking cessation: An analysis of Precontemplation, Contemplation, and Preparation Stages of Change. Journal of Consulting and Clinical Psychology, 59, 295–304.CrossRefPubMed
Dybul, M., Fauci, A., Bartlett, J. G., Kaplan, J. E., and Pau, A. K. (2002). Guidelines for using antiretroviral agents among HIV-infected adults and adolescents. Morbidity and Mortality Weekly Report, 51, RR-7.
Greene, G. W., Rossi, S. R., Reed, G. R., Willey, C., and Prochasta, J. O. (1994). Stages of Change for reducing dietary fat to 30% of energy or less. Journal of the American Dietetic Association, 94, 1105–1110.CrossRefPubMed
Jackson, D. N. (1970). A sequential system for personality scale development: Current topics in clinical and community psychology (pp. 61–69). New York: Academic Press.
Jackson, D. N. (1971). The dynamics of structured personality tests. Psychological Review, 78, 229–248.CrossRef
Janis, I., and Mann, L. (1977). Decision making: A psychological analysis of Conflict, Choice and Commitment. New York: Collier Macmillan.
Keller, S. (1998). Implications of the Stages of Change model for medication compliance. European Respiratory Review, 56, 260–266.
Lautenschlager, G. J. (1989). A comparison of alternatives to conducting monte carlo analyses for determining parallel analysis criteria. Multivariate Behavioral Research, 24, 365–395.CrossRef
Marcus, B. H., Rakowski, W., and Rossi, J. S. (1992a). Assessing motivational readiness and decision-making for exercise. Health Psychology, 11, 257–261.CrossRefPubMed
Marcus, B. H., Rossi, J. S., Selby, V. C., Niaura, R. S., and Abrams, D. B. (1992b). The Stages and processes of exercise adoption and Maintenance in a worksite sample. Health Psychology, 11, 386–395.CrossRefPubMed
Marcus, B. H., Selby, V. C., Niaura, R. S., and Rossi, J. S. (1992c). Self-efficacy and the Stages of exercise behavior change. Research Quarterly for Exercise and Sport, 63, 60–66.PubMed
Mundy, L. M., Kalluri, K., Meredith, K., Marshall, L., Fraser, V. J., and Thompson, P. (2002). Women with HIV infection: a model of university-based care, training and research. AIDS Care, 14, S95–S107.PubMedCrossRef
Paterson, D. L., Swindells, S., Mohr, J., Brester, M., Vergis, E. N., Squier, C., Wagener, M., and Singh, N. (2000). Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Annals of Internal Medicine, 133, 21–30.PubMed
Prochaska, J., and DiClemente, C. (1983). Stages and process of self-change of smoking: Toward an integrative model of Change. Journal of Consulting and Clinical Psychology, 51, 390–395.CrossRefPubMed
Prochaska, J., DiClemente, C., Velicer, W., and Rossi, J. (1993). Standardized, individualized, interactive and personalized self help programs for smoking cessation. Health Psychology, 12, 399–405.CrossRefPubMed
Prochaska, J. O. (2002). A transtheoretical model of behavior change. In K. Blanz, F. M. Lewis, and B. K. RImer (Eds.), Health behavior and health education: Theory, research and practice. San Francisco, CA: Jossey-Bass.
Rakowski, W., Ehrich, B., Dube, C. A., Pearlman, D. N., Goldstein, M. G., Rimer, B. K., Woolverson, H., and Peterson, K. (1996). Screening mammography and the Transtheoretical Model: Robustness of associations using two definitions of the Stages-of-adoption. Annals of Behavioral Medicine, 18, 91–100.CrossRef
Rakowski, W., Fulton, J., and Feldman, J. P. (1993). Women's decision making about mammography: A replication of the relationship between Stages of adoption and decisional balance. Health Psychology, 12, 209–214.CrossRefPubMed
Reed, G. (1995). Measuring Stage of Change for exercise. Psychology. Kingston, RI: University of Rhode Island.
Reed, G. R., Velicer, W. F., Prochaska, J. O., Rossi, J. S., and Marcus, B. H. (1997). What makes a good staging algorithm: Examples from regular exercise. American Journal of Health Promotion, 12, 57–67.PubMed
Rossi, S. R., Rossi, J. S., Rossi-DelPrete, L. M., Prochaska, J. O., Banspach, S. W., and Carleton, R. A. (1994). A processes of change model for weight control for participants in community-based weight loss programs. International Journal of the Addictions, 29, 161–177.PubMed
Velicer, W. F., Prochaska, J. O., Rossi, J. S., and Snow, M. G. (1992). Assessing outcome in smoking cessation studies. Psychological Bulletin, 111, 23–41.CrossRefPubMed
Willey, C., Redding, C., Stafford, J., Garfield, F., Geletko, S., Flanagan, T., Melbourne, K., Mitty, J., and Caro, J. J. (2000). Stages of Change for adherence with medication regimens for chronic disease: Development and validation of a measure. Clinical Therapeutics, 22, 858–871.CrossRefPubMed
Metadata
Title
Development of Stage of Readiness and Decisional Balance Instruments: Tools to Enhance Clinical Decision-Making for Adherence to Antiretroviral Therapy
Authors
Gabrielle R. Highstein, Ph.D.
Cynthia Willey
Linda M. Mundy
Publication date
01-09-2006
Publisher
Springer US
Published in
AIDS and Behavior / Issue 5/2006
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-005-9043-9

Other articles of this Issue 5/2006

AIDS and Behavior 5/2006 Go to the issue

Original Paper

Correlates of sex without serostatus disclosure among a national probability sample of HIV patients

Original Article

Conflicting Messages: How Criminal HIV Disclosure Laws Undermine Public Health Efforts to Control the Spread of HIV

Brief Report

Correlates of Unprotected Anal Sex with Casual Partners: A Study of Gay Men Living in the Southern United States

OriginalPaper

Recruitment Source and Behavioral Risk Patterns of HIV-Positive Men Who Have Sex with Men

OriginalPaper

Impact of HIV-Related Stigma on Health Behaviors and Psychological Adjustment Among HIV-Positive Men and Women

Original Paper

Accuracy of Audio Computer-Assisted Self-Interviewing (ACASI) and Self-Administered Questionnaires for the Assessment of Sexual Behavior
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Reserve your place

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

Read more

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine
Image Credits