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Beichler H, Grabovac I, Leichsenring B, Dorner TE. Involvement, Perception, and Understanding as Determinants for Patient-Physician Relationship and Their Association with Adherence: A Questionnaire Survey among People Living with HIV and Antiretroviral Therapy in Austria. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10314. [PMID: 36011949 PMCID: PMC9408219 DOI: 10.3390/ijerph191610314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/09/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The relationship between patients and healthcare professionals (physicians) is the cornerstone of successful long-term antiretroviral therapy for people living with human immunodeficiency virus (HIV). PURPOSE This study aimed to investigate the connection between involvement, perception, and understanding as the basis for the patient-physician relationship and drug adherence, measured as the probability of non-adherence. METHODS In an online survey, people with HIV were asked about their relationship with their physicians and the extent to which they felt involved in treatment-related decisions. A statistical analysis was conducted to determine whether a better patient-physician relationship was associated with higher adherence to therapy. This was performed by univariate group comparison (Mann-Whitney-U, Fishers Exact Test) and logistic regression. RESULTS A total of 303 persons living with HIV participated in the survey, and 257 patients were included in the analysis. Overall, 27.6% were classified as non-adherent and self-reporting based on whether an antiretroviral therapy (ART) was taken in the past or how often the ART was interrupted. This proportion was significantly higher among patients aged 50-74 years (39.7%) and those with a longer therapy duration (9-15 years: 46.6%; from 15 years on: 55.8%). Therapy-non-adherent patients showed significantly lower scores in the relationship aspects understanding (2.68 vs. 3.03), participation (2.63 vs. 3.07), and perception (3.00 vs. 3.24) compared to adherent patients. Logistic regression analysis confirms that higher scores for understanding, involvement, and perception are strongly associated with a reduction in the risk of becoming non-adherent. This was true for all examined regression models, regardless of whether they were adjusted for the length of therapy and socio-demographic characteristics. CONCLUSION The results reinforce the need for awareness among health care professionals (HCP) regarding understanding, involvement, and perception as important aspects to improve the quality of the patient-physician relationship for high adherence levels with maximized non-adherence in ART management by PLWH.
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Affiliation(s)
- Helmut Beichler
- General Hospital, Nursing School, Medical University Vienna, 1090 Wien, Austria
| | - Igor Grabovac
- Centre for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, 1090 Wien, Austria
| | | | - Thomas Ernst Dorner
- Centre for Public Health, Department of Social and Preventive Medicine, Unite Lifestyle and Prevention, Medical University of Vienna, 1090 Wien, Austria
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Harris RA, Haberer JE, Musinguzi N, Chang KM, Schechter CB, Doubeni CA, Gross R. Predicting short-term interruptions of antiretroviral therapy from summary adherence data: Development and test of a probability model. PLoS One 2018; 13:e0194713. [PMID: 29566096 PMCID: PMC5864044 DOI: 10.1371/journal.pone.0194713] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 03/08/2018] [Indexed: 11/18/2022] Open
Abstract
Antiretroviral therapy (ART) for HIV is vulnerable to unplanned treatment interruptions-consecutively missed doses over a series of days-which can result in virologic rebound. Yet clinicians lack a simple, valid method for estimating the risk of interruptions. If the likelihood of ART interruption could be derived from a convenient-to-gather summary measure of medication adherence, it might be a valuable tool for both clinical decision-making and research. We constructed an a priori probability model of ART interruption based on average adherence and tested its predictions using data collected on 185 HIV-infected, treatment-naïve individuals over the first 90 days of ART in a prospective cohort study in Mbarara, Uganda. The outcome of interest was the presence or absence of a treatment gap, defined as >72 hours without a dose. Using the pre-determined value of 0.50 probability as the cut point for predicting an interruption, the classification accuracy of the model was 73% (95% CI = 66%- 79%), the specificity was 87% (95% CI = 79%- 93%), and the sensitivity was 59% (95% CI = 48%- 69%). Overall model performance was satisfactory, with an area under the receiver operator characteristic curve (AUROC) of 0.85 (95% CI = 0.80-0.91) and Brier score of 0.20. The study serves as proof-of-concept that the probability model can accurately differentiate patients on the continuum of risk for short-term ART interruptions using a summary measure of adherence. The model may also aid in the design of targeted interventions.
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Affiliation(s)
- Rebecca Arden Harris
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Jessica E. Haberer
- Harvard Medical School, Boston, Massachusetts, United States of America
- Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | | | - Kyong-Mi Chang
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
- Philadelphia VA Medical Center, Philadelphia, Pennsylvania, United States of America
| | - Clyde B. Schechter
- Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Chyke A. Doubeni
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Robert Gross
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
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Phillips AN, Cambiano V, Nakagawa F, Revill P, Jordan MR, Hallett TB, Doherty M, De Luca A, Lundgren JD, Mhangara M, Apollo T, Mellors J, Nichols B, Parikh U, Pillay D, Rinke de Wit T, Sigaloff K, Havlir D, Kuritzkes DR, Pozniak A, van de Vijver D, Vitoria M, Wainberg MA, Raizes E, Bertagnolio S. Cost-effectiveness of public-health policy options in the presence of pretreatment NNRTI drug resistance in sub-Saharan Africa: a modelling study. Lancet HIV 2017; 5:e146-e154. [PMID: 29174084 PMCID: PMC5843989 DOI: 10.1016/s2352-3018(17)30190-x] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 09/20/2017] [Accepted: 09/22/2017] [Indexed: 11/17/2022]
Abstract
Background There is concern over increasing prevalence of non-nucleoside reverse-transcriptase inhibitor (NNRTI) resistance in people initiating antiretroviral therapy (ART) in low-income and middle-income countries. We assessed the effectiveness and cost-effectiveness of alternative public health responses in countries in sub-Saharan Africa where the prevalence of pretreatment drug resistance to NNRTIs is high. Methods The HIV Synthesis Model is an individual-based simulation model of sexual HIV transmission, progression, and the effect of ART in adults, which is based on extensive published data sources and considers specific drugs and resistance mutations. We used this model to generate multiple setting scenarios mimicking those in sub-Saharan Africa and considered the prevalence of pretreatment NNRTI drug resistance in 2017. We then compared effectiveness and cost-effectiveness of alternative policy options. We took a 20 year time horizon, used a cost effectiveness threshold of US$500 per DALY averted, and discounted DALYs and costs at 3% per year. Findings A transition to use of a dolutegravir as a first-line regimen in all new ART initiators is the option predicted to produce the most health benefits, resulting in a reduction of about 1 death per year per 100 people on ART over the next 20 years in a situation in which more than 10% of ART initiators have NNRTI resistance. The negative effect on population health of postponing the transition to dolutegravir increases substantially with higher prevalence of HIV drug resistance to NNRTI in ART initiators. Because of the reduced risk of resistance acquisition with dolutegravir-based regimens and reduced use of expensive second-line boosted protease inhibitor regimens, this policy option is also predicted to lead to a reduction of overall programme cost. Interpretation A future transition from first-line regimens containing efavirenz to regimens containing dolutegravir formulations in adult ART initiators is predicted to be effective and cost-effective in low-income settings in sub-Saharan Africa at any prevalence of pre-ART NNRTI resistance. The urgency of the transition will depend largely on the country-specific prevalence of NNRTI resistance. Funding Bill & Melinda Gates Foundation, World Health Organization.
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Affiliation(s)
| | | | - Fumiyo Nakagawa
- Institute for Global Health, University College London, London, UK
| | | | | | | | | | | | - Jens D Lundgren
- Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | - Brooke Nichols
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Urvi Parikh
- University of Pittsburgh, Pittsburgh, PA, USA
| | - Deenan Pillay
- Africa Health Research Institute, KwaZulu Natal, South Africa; Division of Infection and Immunity, University College London, London, UK
| | | | - Kim Sigaloff
- Amsterdam Institute for Global Health & Development, San Francisco, CA, USA
| | - Diane Havlir
- University of California San Francisco, San Francisco, CA, USA
| | | | - Anton Pozniak
- Chelsea & Westminster Hospital NHS Trust, London, UK
| | | | | | | | - Elliot Raizes
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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