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Liao R, Tang Z, Zhang N, Hu L, Chang Z, Ren J, Bai X, Shi J, Fan S, Pei R, Du L, Zhang T. Discrepancies between self-reported medication in adherence and indirect measurement adherence among patients undergoing antiretroviral therapy: a systematic review. Infect Dis Poverty 2024; 13:51. [PMID: 38970140 PMCID: PMC11225374 DOI: 10.1186/s40249-024-01221-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 06/24/2024] [Indexed: 07/07/2024] Open
Abstract
BACKGROUND Given the critical importance of medication adherence in HIV/AIDS treatment, this study aims to compare medication adherence measured by self-report (SR) and indirect measurement among antiretroviral therapy (ART) patients, exploring the differences of adherence results measured by different tools. METHODS We systematically searched PubMed, Embase, and the Cochrane Library to identify all relevant literature published up to November 22, 2023, without language restrictions, reporting adherence to ART measured by both SR and indirect measurement methods, while also analyzing individual and group adherence separately. Discrepancies between SR and indirect measurement results were assessed using the Mann-Whitney U test or Wilcoxon signed-rank test, with correlations evaluated using the Pearson correlation coefficient. Following one-to-one comparisons, meta-epidemiological one-step analysis was conducted, and network meta-analysis techniques were applied to compare results obtained through specific adherence assessment tools reported in the identified articles. RESULTS The analysis encompassed 65 original studies involving 13,667 HIV/AIDS patients, leading to 112 one-to-one comparisons between SR and indirect measurement tools. Statistically significant differences were observed between SR and indirect measurement tools regarding both individual and group adherence (P < 0.05), with Pearson correlation coefficients of 0.843 for individual adherence and 0.684 for group adherence. During meta-epidemiological one-step analysis, SR-measured adherence was determined to be 3.94% (95% CI: -4.48-13.44%) higher for individual adherence and 16.14% (95% CI: 0.81-18.84%) higher for group adherence compared to indirectly measured results. Subgroup analysis indicated that factors such as the year of reporting and geographic region appeared to influence the discrepancies between SR and indirect measurements. Furthermore, network meta-analysis revealed that for both individual and group adherence, the results obtained from most SR and indirect measurement tools were higher than those from electronic monitoring devices, with some demonstrating statistical significance (P < 0.05). CONCLUSIONS The findings underscored the complexity of accurately measuring medication adherence among ART patients. Significant variability was observed across studies, with self-report methods showing a significant tendency towards overestimation. Year of reporting, geographic region, and adherence measurement tools appeared to influence the differences between SR and indirect measurements. Future research should focus on developing and validating integrated adherence measurements that can combine SR data with indirect measures to achieve a more comprehensive understanding of adherence behaviors.
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Affiliation(s)
- Rujun Liao
- Center of Infectious Diseases, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Innovation Insititute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China
| | - Zihuan Tang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Na Zhang
- Center of Infectious Diseases, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Innovation Insititute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Lin Hu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Zongqi Chang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Jiayi Ren
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Xuefei Bai
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China
| | - Jinhong Shi
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China
| | - Sisi Fan
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China
| | - Rong Pei
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, Sichuan, People's Republic of China
| | - Liang Du
- Center of Infectious Diseases, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Innovation Insititute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
| | - Tao Zhang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
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Liu J, Yan Y, Li Y, Lin K, Xie Y, Tan Z, Liu Q, Li J, Wang L, Zhou Y, Yao G, Huang S, Ye C, Cen M, Liao X, Xu L, Zhang C, Yan Y, Huang L, Yang F, Yang Y, Fu X, Jiang H. Factors associated with antiretroviral treatment adherence among people living with HIV in Guangdong Province, China: a cross sectional analysis. BMC Public Health 2024; 24:1358. [PMID: 38769474 PMCID: PMC11106959 DOI: 10.1186/s12889-024-18774-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 05/06/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Understanding factors associated with antiretroviral treatment (ART) adherence is crucial for ART success among people living with HIV (PLHIV) in the "test and treat" era. Multiple psychosocial factors tend to coexist and have a syndemic effect on ART adherence. We aimed to explore factors associated with ART adherence and the syndemic effect of multiple psychosocial factors on ART adherence among PLHIV newly starting ART in Guangdong Province, China. METHODS Newly diagnosed PLHIV from six cities in Guangdong Province were recruited between May 2018 and June 2019, and then followed up from May 2019 to August 2020. Baseline and follow-up data were collected from a questionnaire and the national HIV surveillance system, the follow-up data of which were analyzed in this study. A Center for Adherence Support Evaluation (CASE) index > 10 points was defined as optimal ART adherence, which was measured via participants' self-reported adherence during follow-up survey. Multivariable logistic regression was used to identify factors associated with ART adherence. Exploratory factor analysis (EFA) and multi-order latent variable structural equation modeling (SEM) were performed to explore the syndemic effect of multiple psychosocial factors on ART adherence. RESULTS A total of 734 (68.53%) follow-up participants were finally included in this study among the 1071 baseline participants, of whom 91.28% (670/734) had self-reported optimal ART adherence. Unemployment (aOR = 1.75, 95%CI: 1.01-3.02), no medication reminder (aOR = 2.28, 95%CI: 1.09-4.74), low medication self-efficacy (aOR = 2.28, 95%CI: 1.27-4.10), low social cohesion (aOR = 1.82, 95%CI: 1.03-3.19), no social participation (aOR = 5.65, 95%CI: 1.71-18.63), and ART side effects (aOR = 0.46, 95%CI: 0.26-0.81) were barriers to optimal ART adherence. The EFA and second-order latent variable SEM showed a linear relationship (standardized coefficient = 0.43, P < 0.001) between ART adherence and the latent psychosocial (syndemic) factor, which consisted of the three latent factors of medication beliefs and self-efficacy (standardized coefficient = 0.65, P < 0.001), supportive environment (standardized coefficient = 0.50, P < 0.001), and negative emotions (standardized coefficient=-0.38, P < 0.01). The latent factors of medication beliefs and self-efficacy, supportive environment, and negative emotions explained 42.3%, 25.3%, and 14.1% of the variance in the latent psychosocial factor, respectively. CONCLUSIONS About nine out of ten PLHIV on ART in Guangdong Province self-reported optimal ART adherence. However, more efforts should be made to address barriers to optimal ART adherence.
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Affiliation(s)
- Jun Liu
- Department of HIV/AIDS Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, No. 160 Qunxian Road, Panyu District Guangzhou, Guangzhou, China
| | - Yao Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Road, Haizhu District, Guangzhou, 510310, China
- Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Yan Li
- Department of HIV/AIDS Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, No. 160 Qunxian Road, Panyu District Guangzhou, Guangzhou, China
| | - Kaihao Lin
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Road, Haizhu District, Guangzhou, 510310, China
| | - Yingqian Xie
- Department of HIV/AIDS Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, No. 160 Qunxian Road, Panyu District Guangzhou, Guangzhou, China
| | - Zhimin Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Road, Haizhu District, Guangzhou, 510310, China
| | - Qicai Liu
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Junbin Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lihua Wang
- Jiangmen Center for Disease Control and Prevention, Jiangmen, China
| | - Yi Zhou
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Gang Yao
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Shanzi Huang
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Chenglong Ye
- Yangjiang Center for Disease Control and Prevention, Yangjiang, China
| | - Meixi Cen
- Yunfu Center for Disease Control and Prevention, Yunfu, China
| | - Xiaowen Liao
- Yunfu Center for Disease Control and Prevention, Yunfu, China
| | - Lu Xu
- Shantou Center for Disease Control and Prevention, Shantou, China
| | - Chi Zhang
- Shantou Center for Disease Control and Prevention, Shantou, China
| | - Yubin Yan
- Huizhou Center for Disease Control and Prevention, Huizhou, China
| | - Lin Huang
- Huizhou Center for Disease Control and Prevention, Huizhou, China
| | - Fang Yang
- Department of HIV/AIDS Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, No. 160 Qunxian Road, Panyu District Guangzhou, Guangzhou, China
| | - Yi Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Road, Haizhu District, Guangzhou, 510310, China
| | - Xiaobing Fu
- Department of HIV/AIDS Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, No. 160 Qunxian Road, Panyu District Guangzhou, Guangzhou, China.
| | - Hongbo Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Road, Haizhu District, Guangzhou, 510310, China.
- Institute for Global Health, University College London, London, NW3 2PF, United Kingdom.
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Vincent W, Siconolfi DE, Pollack L, Campbell CK, Kegeles SM, Storholm ED. What's in Your Dataset? Measuring Engagement in HIV Care Using Routinely Administered Items with a Population Disproportionately Burdened by HIV. AIDS Behav 2024; 28:1423-1434. [PMID: 38150065 DOI: 10.1007/s10461-023-04229-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2023] [Indexed: 12/28/2023]
Abstract
We evaluated the psychometric properties of a measure consisting of items that assess current HIV care continuum engagement based on established definitions in the United States. At baseline, participants in this longitudinal study, which included three time points from 2015 to 2020, were 331 young Black sexual minority men ages 18-29 living with HIV in the southern United States residing in two large southern cities. Self-report items reflected four aspects of HIV care continuum engagement as binary variables: seeing a healthcare provider for HIV care, being on antiretroviral treatment, being retained in HIV care, and being virally suppressed. Of these, the following three variables loaded onto a single factor in exploratory factor analysis: being on antiretroviral treatment, being retained in HIV care, and being virally suppressed. A one-dimensional factor structure was confirmed using confirmatory factor analyses at separate time points. Additionally, the three items collectively showed measurement invariance by age, education level, employment status, and income level. The three-item measure also showed reliability based on coefficient omega and convergent validity in its associations with indicators of socioeconomic distress, depression, resilience, and healthcare empowerment. In sum, the items performed well as a single scale. The study demonstrated the potential psychometric strength of simple, feasible, commonly administered items assessing engagement in the HIV care continuum.
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Affiliation(s)
- Wilson Vincent
- Department of Psychology and Neuroscience, Temple University, Weiss Hall, Philadelphia, PA, 19122, USA.
| | | | - Lance Pollack
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Chadwick K Campbell
- Herbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, CA, USA
| | - Susan M Kegeles
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Erik D Storholm
- School of Public Health, San Diego State University, San Diego, CA, USA
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Fisk-Hoffman RJ, Parisi CE, Siuluta N, Ding DD, Widmeyer M, Somboonwit C, Cook RL. Antiretroviral Therapy Concealment Behaviors and their Association with Antiretroviral Therapy Adherence among People with HIV: Findings from the Florida Cohort Study. AIDS Behav 2024; 28:1047-1057. [PMID: 37861924 PMCID: PMC10922241 DOI: 10.1007/s10461-023-04214-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2023] [Indexed: 10/21/2023]
Abstract
Little is known about HIV medication concealment behaviors and the effect of medication concealment on antiretroviral therapy (ART) adherence among people with HIV (PWH). This study aims to (1) to describe medication concealment behaviors and factors associated with these behaviors, and (2) assess the association between medication concealment and suboptimal ART adherence. The Florida Cohort Study enrolled adult PWH from community-based clinics around the state from October 2020 to September 2022 (n = 416, 62% aged 50+, 56% male, 44% non-Hispanic Black, 18% Hispanic). Participants responded to questions about sociodemographics, stigma, ART adherence (≥ 85%), symptoms of depression, social networks and disclosure to their networks, and actions to conceal ART to avoid inadvertent disclosure of their HIV status. Analyses were conducted using multivariable logistic regressions models. The most common concealment behavior was hiding ART while having guests over (32%), followed by removing ART labels (26%), and putting ART into a different bottle (16%). Overall, 43% reported ≥ 1 behavior. In multivariable models, depressive symptoms, incomplete disclosure of HIV to close social networks, and not having a close social network were associated with ART concealment. After adjusting for risk factors for suboptimal ART adherence, endorsing hiding medication while having guests was associated with suboptimal ART adherence (aOR 2.87, 95% CI 1.15-7.55). Taking any action and other individual behaviors were not associated. ART concealment behaviors were common but did not consistently negatively influence adherence when accounting for other factors. PWH may want to receive ART medications in ways that ensure privacy and reduce the risk of inadvertent disclosure.
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Affiliation(s)
- Rebecca J Fisk-Hoffman
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA
| | - Christina E Parisi
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA
| | - Nanyangwe Siuluta
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA
| | - Delaney D Ding
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA
| | | | - Charurut Somboonwit
- Department of Internal Medicine, College of Medicine, University of South Florida, Tampa, FL, USA
| | - Robert L Cook
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA.
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Phillips T, Gomba Y, Myer L. Comparing a point-of-care urine tenofovir lateral flow assay to self-reported adherence and their associations with viral load suppression among adults on antiretroviral therapy. Trop Med Int Health 2024; 29:96-103. [PMID: 38084797 PMCID: PMC10872537 DOI: 10.1111/tmi.13953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2024]
Abstract
BACKGROUND Point-of-care (POC) lateral flow assays (LFA) to detect tenofovir (TFV) in urine have been developed to measure short-term ART adherence. Limited data exist from people living with HIV in routine care. METHODS Adults on TFV-containing regimens, having a routine viral load (VL) at an HIV clinic in Cape Town, South Africa were enrolled in a cross-sectional study. Patients recalled missed ART doses in the past three and 7 days and urine was tested using a POC TFV LFA. VL on the day was abstracted from medical records. RESULTS Among 314 participants, 293 (93%) had VL <1000 copies/mL, 20 (6%) had no TFV detected and 24 (8%) reported ≥1 missed dose in the past 3 days. Agreement between VL ≥1000 and undetectable TFV was higher compared to 3-day recall of ≥1 missed dose (Kappa 0.504 vs. 0.163, p = 0.015). The AUC to detect VL ≥1000 was 0.747 (95% CI 0.637-0.856) for undetectable TFV. This was statistically significantly better than for 7-day recall (0.571 95% CI 0.476-0.666, p = 0.040) but not for 3-day recall (0.587 95% CI 0.492-0.681, p = 0.071) of ≥1 missed dose. CONCLUSION In this largely virally suppressed cohort, TFV in urine had better agreement with VL than self-reported adherence and was a better predictor of viraemia on two of three self-report measures. Used in combination with VL, the POC urine TFV LFA could flag patients with viraemia in the presence of ART. Further research is needed to understand the potential application in different populations on ART, including pregnant women.
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Affiliation(s)
- Tamsin Phillips
- Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Yolanda Gomba
- Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Landon Myer
- Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
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Gutiérrez-Velilla E, Barrientos-Casarrubias V, Gómez-Palacio Schjetnan M, Perrusquia-Ortiz LE, Cruz-Maycott R, Alvarado-de la Barrera C, Ávila-Ríos S, Caballero-Suárez NP. Mental health and adherence to antiretroviral therapy among Mexican people living with HIV during the COVID-19 pandemic. AIDS Res Ther 2023; 20:34. [PMID: 37287023 PMCID: PMC10245356 DOI: 10.1186/s12981-023-00532-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/26/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND The mental health and medical follow-up of people living with HIV (PLWH) have been disrupted by the COVID-19 pandemic. The objectives of this study were to assess anxiety, depression and substance use in Mexican PLWH during the pandemic; to explore the association of these symptoms with adherence to antiretroviral therapy (ART), and to compare patients with and without vulnerability factors (low socioeconomic level, previous psychological and/or psychiatric treatment). METHODS We studied 1259 participants in a cross-sectional study, PLWH receiving care at the HIV clinic in Mexico City were contacted by telephone and invited to participate in the study. We included PLWH were receiving ART; answered a structured interview on sociodemographic data and adherence to ART; and completed the psychological instruments to assess depressive and anxiety symptoms and substance use risk. Data collection was performed from June 2020 to October 2021. RESULTS 84.7% were men, 8% had inadequate ART adherence, 11% had moderate-severe symptoms of depression, and 13% had moderate-severe symptoms of anxiety. Adherence was related to psychological symptoms (p < 0.001). Vulnerable patients were more likely to be women, with low educational level and unemployed (p < 0.001). CONCLUSIONS It is important to address mental health of PLWH during the COVID-19 pandemic, with special attention to the most vulnerable individuals. Future studies are needed to understand the relationship between mental health and ART adherence.
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Affiliation(s)
- Ester Gutiérrez-Velilla
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - Vania Barrientos-Casarrubias
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - María Gómez-Palacio Schjetnan
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - Lydia E Perrusquia-Ortiz
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - Rosa Cruz-Maycott
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - Claudia Alvarado-de la Barrera
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - Santiago Ávila-Ríos
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México
| | - Nancy Patricia Caballero-Suárez
- Centro de Investigación en Enfermedades Infecciosas (CIENI) del Instituto Nacional de Enfermedades Respiratorias (INER), Calzada de Tlalpan 4502, Belisario Domínguez Secc 16, Tlalpan, 14080, Ciudad de México, México.
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Mandlate FM, Greene MC, Pereira LF, Gouveia ML, Mari JJ, Cournos F, Duarte CS, Oquendo MA, Mello MF, Wainberg ML. Association between mental disorders and adherence to antiretroviral treatment in health facilities in two Mozambican provinces in 2018: a cross-sectional study. BMC Psychiatry 2023; 23:274. [PMID: 37081470 PMCID: PMC10116733 DOI: 10.1186/s12888-023-04782-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 04/13/2023] [Indexed: 04/22/2023] Open
Abstract
INTRODUCTION Lower adherence to antiretroviral treatment (ART) has been found among people with HIV (PWH) who have comorbid mental disorders like depression and alcohol use in Sub-Saharan African. However, there has been less exploration with regards to other mental disorders. METHODS This study assessed the association of multiple mental disorders and adherence to ART based on the data from primary/tertiary health care facilities in Maputo and Nampula, Mozambique. We administered a sociodemographic questionnaire, Mini International Neuropsychiatric Interview (MINI) Plus 4.0.0 adapted for use in Mozambique to assess mental conditions, and a 3-item self-report to measure ART adherence. RESULTS 395 HIV-positive (self-report) participants on ART, with an average age of 36.7 years (SD = 9.8), and 30.4% were male. The most common mental disorders were major depressive disorder (27.34%) followed by psychosis (22.03%), suicidal ideation/behavior (15.44%), and alcohol-use disorder (8.35%). Higher odds of missing at least one dose in the last 30 days (OR = 1.45, 95% CI: 1.01, 2.10) were found in participants with any mental disorder compared to those without a mental disorder. The highest levels of non-adherence were observed among those with drug use disorders and panic disorder. CONCLUSIONS In Mozambique, PWH with any co-occurring mental conditions had a lower probability of ART adherence. Integrating comprehensive mental health assessment and treatment and ART adherence interventions tailored to PWH with co-occurring mental disorders is necessary to attain optimal ART adherence and reach the UNAIDS ART target.
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Affiliation(s)
- Flavio M. Mandlate
- Department of Mental Health, Ministry of Health, Eduardo Mondlane Avenue, nr 1008, Postal Code 264 Maputo, Mozambique
- Department of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - M. Claire Greene
- Program on Forced Migration and Health, Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, USA
| | - Luis F. Pereira
- New York State Psychiatric Institute, Columbia University, New York, USA
| | - Maria Lidia Gouveia
- Department of Mental Health, Ministry of Health, Eduardo Mondlane Avenue, nr 1008, Postal Code 264 Maputo, Mozambique
- Department of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Jair Jesus Mari
- Department of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Francine Cournos
- New York State Psychiatric Institute, Columbia University, New York, USA
| | | | - Maria A. Oquendo
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Marcelo Feijó Mello
- Department of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Milton L. Wainberg
- New York State Psychiatric Institute, Columbia University, New York, USA
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Ciapponi A, Cruciani M. What is the accuracy of simple measures of antiretroviral therapy (ART) adherence for detecting non-suppressed viral load in people living with HIV? COCHRANE CLINICAL ANSWERS 2022. [DOI: 10.1002/cca.4100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Keene CM, Ragunathan A, Euvrard J, English M, McKnight J, Orrell C. Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study. J Int AIDS Soc 2022; 25:e26025. [PMID: 36285618 PMCID: PMC9597383 DOI: 10.1002/jia2.26025] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/27/2022] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation. METHODS We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders. RESULTS AND DISCUSSION We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients. CONCLUSIONS Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.
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Affiliation(s)
- Claire M. Keene
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Ayesha Ragunathan
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Jonathan Euvrard
- Centre for Infectious Disease Epidemiology and ResearchSchool of Public Health and Family MedicineFaculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Mike English
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Jacob McKnight
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Catherine Orrell
- Department of MedicineFaculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
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Keene CM, Ragunathan A, Euvrard J, English M, McKnight J, Orrell C. Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study. J Int AIDS Soc 2022; 25:e26025. [PMID: 36285618 PMCID: PMC9597383 DOI: 10.1002/jia2.26025/full|10.1002/jia2.26025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/27/2022] [Indexed: 05/22/2023] Open
Abstract
INTRODUCTION Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation. METHODS We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders. RESULTS AND DISCUSSION We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients. CONCLUSIONS Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.
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Affiliation(s)
- Claire M. Keene
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Ayesha Ragunathan
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Jonathan Euvrard
- Centre for Infectious Disease Epidemiology and ResearchSchool of Public Health and Family MedicineFaculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Mike English
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Jacob McKnight
- Health Systems CollaborativeOxford Centre for Global Health ResearchNuffield Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Catherine Orrell
- Department of MedicineFaculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
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