The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Factors Influencing Medication Adherence Beliefs and Self-Efficacy in Persons Naive to Antiretroviral Therapy: A Multicenter, Cross-Sectional Study
Abstract
It is widely recognized that adherence to antiretroviral therapy is critical to long-term treatment success, yet rates of adherence to antiretroviral medications are frequently subtherapeutic. Beliefs about antiretroviral therapy and psychosocial characteristics of HIV-positive persons naive to therapy may influence early experience with antiretroviral medication adherence and therefore could be important when designing programs to improve adherence to antiretroviral therapy. As part of a multicenter AIDS Clinical Trial Group (ACTG 384) study, 980 antiretroviral-naive subjects (82% male, 47% White, median age 36 years, and median CD4 cell count 278 cells/mm3) completed a self-administered questionnaire prior to random treatment assignment of initial antiretroviral medications. Measures of symptom distress, general health and well-being, and personal and situational factors including demographic characteristics, social support, self-efficacy, depression, stress, and current adherence to (nonantiretroviral) medications were recorded. Associations among variables were explored using correlation and regression analyses. Beliefs about the importance of antiretroviral adherence and ability to take antiretroviral medications as directed (adherence self-efficacy) were generally positive. Fifty-six percent of the participants were "extremely sure" of their ability to take all medications as directed and 48% were "extremely sure" that antiretroviral nonadherence would cause resistance, but only 37% were as sure that antiretroviral therapy would benefit their health. Less-positive beliefs about antiretroviral therapy adherence were associated with greater stress, depression, and symptom distress. More-positive beliefs about antiretroviral therapy adherence were associated with better scores on health perception, functional health, social-emotional-cognitive function, social support, role function, younger age, and higher education (r values = 0.09-0.24, all p < .001). Among the subset of 325 participants reporting current use of medications (nonantiretrovirals) during the prior month, depression was the strongest correlate of nonadherence ( r = 0.33, p < .001). The most common reasons for nonadherence to the medications were "simply forgot" (33%), "away from home" (27%), and "busy" (26%). In conclusion, in a large, multicenter survey, personal and situational factors, such as depression, stress, and lower education, were associated with less certainty about the potential for antiretroviral therapy effectiveness and one's perceived ability to adhere to therapy. Findings from these analyses suggest a role for baseline screening for adherence predictors and focused interventions to address modifiable factors placing persons at high risk for poor adherence prior to antiretroviral treatment initiation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Self-efficacy or confidence in one’s ability to successfully engage in goal-directed behavior has been shown to influence medication adherence across many chronic illnesses.”
From Reliability and validity of a self‐efficacy instrument for hepatitis C antiviral treatment regimens (2012) · cites this paper as [17]
Citations
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Palella, F. J., Delaney, K. M., Moorman, A. C., Loveless, M. O., Fuhrer, J., Satten, G. A., Aschman, D. J., & Holmberg, S. D. (1998) · New England Journal of Medicine · doi:10.1056/nejm199803263381301 · Cited by 9,393
The Health Belief Model: a decade later.
Janz, N. K., & Becker, M. H. (1984) · Health Education Quarterly · doi:10.1177/109019818401100101 · Cited by 8,437
Adherence to Protease Inhibitor Therapy and Outcomes in Patients with HIV Infection
Paterson, D. L., Swindells, S., Mohr, J. A., Brester, M., Vergis, E. N., Squier, C. L., Wagener, M. M., & Singh, N. (2000) · Annals of Internal Medicine · doi:10.7326/0003-4819-133-1-200007040-00004 · Cited by 3,289
Health Belief Model and Personal Health Behavior
Becker, M. H. (1976) · Medical Entomology and Zoology · Cited by 3,065
Chesney, M. A., Ickovics, J. R., Chambers, D. B., Gifford, A. L., Neidig, J., Zwickl, B., Wu, A. W., & PATIENT CARE COMMITTEE & ADHERENCE (2000) · AIDS Care · doi:10.1080/09540120050042891 · Cited by 1,428 · cited 5×
“The ACTG Baseline Adherence Questionnaire (Chesney et al., 2000b) provided a selfreport measure of personal and situational variables including (1) beliefs about the effectiveness of antiretroviral medication and confidence in one’s ability to adhere to antiretroviral medications as directed (ART…”
BackgroundMethodInfluentialSelf-citationVariations in population health status: results from a United Kingdom national questionnaire survey
Kind, P., Dolan, P., Gudex, C., & Williams, A. (1998) · BMJ · doi:10.1136/bmj.316.7133.736 · Cited by 1,059
Bangsberg, D. R., Hecht, F. M., Charlebois, E. D., Zolopa, A. R., Holodniy, M., Sheiner, L. B., Bamberger, J. D., Chesney, M. A., & Moss, A. R. (2000) · AIDS · doi:10.1097/00002030-200003100-00008 · Cited by 1,032
Self-citationAntiretroviral Treatment for Adult HIV Infection in 2002
Yéni, P., Hammer, S. M., Carpenter, C. C. J., Cooper, D. A., Fischl, M. A., Gatell, J. M., Gazzard, B., Hirsch, M., Jacobsen, D. M., Katzenstein, D. A., et al. (2002) · JAMA · doi:10.1001/jama.288.2.222 · Cited by 710
Self-citationCatz, S. L., Kelly, J. A., Bogart, L. M., Benotsch, E. G., & McAuliffe, T. L. (2000) · Health Psychology · doi:10.1037/0278-6133.19.2.124 · Cited by 685
Flagged first, then by citations
Research works printed but not linked: 2
- Reynolds, N. R., Testa, M. A., Su, M., Chesney, M. A., and Robbins, G. K. for the Protocol Teams of ACTG 384. (July, 2003). Baseline predictors of adherence and regimen failure in treatment naëve HIV+; subjects (ACTG 384). Presented at the 2nd IAS Conference on HIV Pathogenesis and Treatment, Paris.
- SPSS Inc. (2002). SPSS version 11.5. Chicago: Author.
Cited by
Sorted by citations
Mills, E. J., Nachega, J. B., Bangsberg, D. R., Singh, S., Rachlis, B., Wu, P., Wilson, K., Buchan, I., Gill, C. J., & Cooper, C. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030438 · Cited by 818
Langebeek, N., Gisolf, E. H., Reiss, P., Vervoort, S. C. J. M., Hafsteinsdøttir, T. B., Richter, C., Sprangers, M. A. G., & Nieuwkerk, P. T. (2014) · BMC Medicine · doi:10.1186/preaccept-1453408941291432 · Cited by 481
Langebeek, N., Gisolf, E. H., Reiss, P., Vervoort, S. C. J. M., Hafsteinsdøttir, T. B., Richter, C., Sprangers, M. A. G., & Nieuwkerk, P. T. (2014) · BMC Medicine · doi:10.1186/s12916-014-0142-1 · Cited by 394
Improving the measurement of self-reported medication nonadherence: Response to Authors
Morisky, D. E., & DiMatteo, M. R. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.09.002 · Cited by 377
Social Stigma Concerns and HIV Medication Adherence
Rintamaki, L. S., Davis, T. C., Skripkauskas, S., Bennett, C. L., & Wolf, M. S. (2006) · AIDS Patient Care and STDs · doi:10.1089/apc.2006.20.359 · Cited by 371
Metadata
- Authors
- Reynolds, N. R., Testa, M. A., Marc, L. G., Chesney, M. A., Neidig, J. L., Smith, S. R., Vella, S., Robbins, G. K., & Protocol Teams of ACTG 384, A. 7.
- Affiliations
- The Ohio State University (US)
- Harvard University (US)
- University of California, San Francisco (US)
- University of North Carolina at Chapel Hill (US)
- Istituto Superiore di Sanità (IT)
- Massachusetts General Hospital (US)
- Corresponding author
- Reynolds, Nancy R.
- ORCID
- Venue
- AIDS and Behavior
- Published
- 2004-06
- Volume
- 8
- Issue
- 2
- Pages
- 141-150
- ISSN
- 1090-7165 (ISSN-L)
- 1573-3254
- OpenAlex
- W2015240464
- Cited by
- 204
- References
- 35
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2022: 5 · 2021: 6 · 2020: 6 · 2019: 6 · 2018: 1 · 2017: 6 · 2016: 15 · 2015: 13 · 2014: 20 · 2013: 9 · 2012: 11
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- AIDS and Behavior (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Allergy and Infectious Diseases (AI38858, U01AI025924, AI2-7659, AI 25924, U01AI025868, U01AI038858, AI 25868, U01AI027659)
- Topics
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS drug development and treatment
- Keywords
- medication adherence, antiretroviral therapy, HIV infection, antiretroviral-naive patients, self-efficacy, medication non-adherence, reasons for non-adherence, depression, stress, symptom distress, social support, health perception, treatment adherence interventions
- MeSH terms
- Acquired Immunodeficiency Syndrome, Adolescent, Adult, Age Factors, Attitude to Health, Cross-Sectional Studies, Female, Health Status, Humans, Male, Middle Aged, Patient Compliance, Social Support, Stress, Psychological, Self Efficacy, Anti-Retroviral Agents
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review