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Bhatt S, Bryant M, Lau H, Tee BK, Eu B, O’Bryan J, Woolley I, Mitchell J, Street A, Dobinson S, Medland N, Lamb J, Mahony A, Tramontana A, Lim LL, Wade A, Roder C, Mitchell W, Sherman C, Bramwell F, Aboltins C, Wong SH, Giourouki M, Hoy JF, McMahon JH. Successful expanded clinic network collaboration and patient tracing for retention in HIV care. AIDS Res Ther 2022; 19:61. [PMID: 36471425 PMCID: PMC9724269 DOI: 10.1186/s12981-022-00476-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/26/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND There are more than 7,800 people living with human immunodeficiency virus (HIV) in Victoria, Australia. Crucial in maximising the individual and population level benefits from antiretroviral therapy (ART) is understanding how to achieve patient retention in care and the factors that drive it. This study was an expansion of a 2015 assessment of HIV-care retention in Victoria, which sought out to determine whether the inclusion of a broader range of HIV-healthcare sites would yield more accurate estimates of retention in HIV-care. We aimed to improve our understanding of HIV-care retention in Victoria, Australia, identify people living with HIV (PLHIV) with unknown outcomes, and attempt to re-engage PLHIV in care. METHODS A network of 15 HIV-care sites was established in Victoria, Australia across diverse care settings which ranged from low-caseload rural sites to high-caseload metropolitan GP clinics and hospitals. Individuals who had an HIV viral load (VL) performed in both calendar years of 2016 and 2017 were classified as retained in care. Individuals with a VL test in 2016 but not in 2017 were considered to potentially have unknown outcomes as they may have been receiving care elsewhere, have disengaged from care or died. For this group, an intervention of cross-referencing partially de-identified data between healthcare sites, and contact tracing individuals who still had unknown outcomes was performed. RESULTS For 5223 individuals considered to be retained in care across 15 healthcare sites in the study period, 49 had unconfirmed transfers of care to an alternative provider and 79 had unknown outcomes. After the intervention, the number of unconfirmed care transfers was reduced to 17 and unknown outcomes reduced to 51. These changes were largely attributed to people being reclassified as confirmed transfers of care. Retention in care estimates that did not include the patient outcome of confirmed transfer of care ranged from 76.2 to 95.8% and did not alter with the intervention. However, retention in care estimates which considered confirmed transfers and those that re-entered care at a new site as retained in care significantly increased across five of the sites with estimates ranging from 80.9 to 98.3% pre-intervention to 83.3-100% post-intervention. Individuals whose outcomes remained unknown post-intervention were more often men who have sex with men (MSM) when compared to other categories (person who injects drugs (PWID), combined PWID/MSM, men who identify as heterosexual or unknown) (74.5% vs. 53.5%, [p = 0.06]) and receiving ART at their last HIV-care visit (84.3% vs. 67.8% [p = 0.09]). CONCLUSION This study confirmed high retention in HIV-care and low numbers of people disengaged from HIV-care in Victoria. This was demonstrated across a larger number of sites with varying models of care than a prior assessment in 2015. These data align with national and state targets aiming for 95% of PLHIV retained in HIV-care.
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Affiliation(s)
- Shivani Bhatt
- grid.1623.60000 0004 0432 511XThe Alfred Hospital, Melbourne, Australia ,grid.1002.30000 0004 1936 7857Monash University, Melbourne, Australia
| | - Mellissa Bryant
- grid.1623.60000 0004 0432 511XThe Alfred Hospital, Melbourne, Australia ,grid.1002.30000 0004 1936 7857Monash University, Melbourne, Australia
| | - Helen Lau
- Prahran Market Clinic, Melbourne, Australia ,Centre Clinic, Melbourne, Australia
| | - Ban-Kiem Tee
- Centre Clinic, Melbourne, Australia ,Access Health , Melbourne, Australia
| | - Beng Eu
- Prahran Market Clinic, Melbourne, Australia
| | - Jessica O’Bryan
- grid.419789.a0000 0000 9295 3933Monash Health, Melbourne, Australia
| | - Ian Woolley
- grid.419789.a0000 0000 9295 3933Monash Health, Melbourne, Australia
| | - Jeni Mitchell
- grid.429299.d0000 0004 0452 651XMelbourne Health, Melbourne, Australia
| | - Alan Street
- grid.429299.d0000 0004 0452 651XMelbourne Health, Melbourne, Australia
| | - Sheranne Dobinson
- grid.490309.70000 0004 0471 3657Melbourne Sexual Health Centre, Melbourne, Australia
| | - Nicholas Medland
- grid.490309.70000 0004 0471 3657Melbourne Sexual Health Centre, Melbourne, Australia
| | - Judy Lamb
- grid.414425.20000 0001 0392 1268Bendigo Health, Bendigo, Australia
| | - Andrew Mahony
- grid.414425.20000 0001 0392 1268Bendigo Health, Bendigo, Australia ,grid.410678.c0000 0000 9374 3516Austin Health, Melbourne, Australia
| | - Adrian Tramontana
- grid.417072.70000 0004 0645 2884Western Health , Melbourne, Australia
| | - Lyn-Li Lim
- grid.414366.20000 0004 0379 3501Eastern Health , Melbourne, Australia
| | - Amanda Wade
- grid.414257.10000 0004 0540 0062Barwon Health, Geelong, Australia
| | - Christine Roder
- grid.414257.10000 0004 0540 0062Barwon Health, Geelong, Australia
| | | | | | | | - Craig Aboltins
- grid.410684.f0000 0004 0456 4276Northern Health , Melbourne, Australia
| | - Siaw Hui Wong
- grid.410684.f0000 0004 0456 4276Northern Health , Melbourne, Australia
| | - Maxine Giourouki
- grid.413105.20000 0000 8606 2560St Vincent’s Hospital,, Melbourne, Australia
| | - Jennifer F Hoy
- grid.1623.60000 0004 0432 511XThe Alfred Hospital, Melbourne, Australia ,grid.1002.30000 0004 1936 7857Monash University, Melbourne, Australia
| | - James H McMahon
- grid.1623.60000 0004 0432 511XThe Alfred Hospital, Melbourne, Australia ,grid.419789.a0000 0000 9295 3933Monash Health, Melbourne, Australia ,grid.1002.30000 0004 1936 7857Monash University, Melbourne, Australia
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Wells N, Philpot SP, Murphy D, Ellard J, Howard C, Rule J, Fairley C, Prestage G. Belonging, social connection and non-clinical care: Experiences of HIV peer support among recently diagnosed people living with HIV in Australia. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022; 30:e4793-e4801. [PMID: 35717630 PMCID: PMC10946990 DOI: 10.1111/hsc.13886] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/08/2022] [Accepted: 06/04/2022] [Indexed: 06/15/2023]
Abstract
Effective HIV treatments have transformed the medical needs of people living with HIV (PLHIV) to a chronic condition. However, stigma, poorer mental health outcomes and social isolation remain significant challenges for many PLHIV. HIV peer support programs have assisted PLHIV in navigating the clinical, emotional and social aspects of living with HIV. We draw on semi-structured interviews with 26 recently diagnosed PLHIV in Australia to explore experiences of HIV peer support services. Our thematic analysis identified three overarching themes. First, participants commonly reported that peer support programs offered a sense of belonging and connection to a broader HIV community. This established a network, sometimes separate to their existing social networks, of other PLHIV with whom to share experiences of HIV. Second, peer-based programs provided an opportunity for participants to hear firsthand, non-clinical perspectives on living with HIV. While participants valued the clinical care they received, the perspectives of peers gave participants insights into how others had managed aspects of living with HIV such as disclosure, sex and relationships. Finally, participants highlighted important considerations around ensuring referrals were made to socially and culturally appropriate support programs. Peer support programs fill an important gap in HIV care, working alongside and extending the work of the clinical management of HIV. Incorporating formal referrals to peer support services as part of the HIV diagnosis process could assist recently diagnosed PLHIV in adjusting to a positive diagnosis.
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Affiliation(s)
- Nathanael Wells
- Kirby InstituteUNSW SydneyKensingtonNew South WalesAustralia
| | | | - Dean Murphy
- Kirby InstituteUNSW SydneyKensingtonNew South WalesAustralia
| | - Jeanne Ellard
- Australian Research Centre in Sex, Health and SocietyLa Trobe UniversityMelbourneVictoriaAustralia
| | - Chris Howard
- Queensland Positive People (QPP)East BrisbaneQueenslandAustralia
| | - John Rule
- National Association of People with HIV AustraliaNewtownNew South WalesAustralia
| | - Christopher Fairley
- Melbourne Sexual Health CentreMelbourneVictoriaAustralia
- Central Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
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Abstract
Retention is a central component of the Cascade, facilitating monitoring of comorbidity. Country-specific definitions differ and may suit stable and functioning clients, while not appropriately classifying complex clinical presentations characterized by comorbidity. A retrospective file review of 363 people living with HIV attending a Sydney HIV clinic was conducted. Retention was compared with Australian (attendance once/12-months) and World Health Organization (attendance 'appropriate to need') recommendations to identify those attending according to the Australian definition, but not clinician recommendations (AUnotWHO). Multivariable logistic regression analyses determined the impact of age/sex and clinician-assessed comorbidity on retention. Most (97%) participants were considered retained according to the Australian definition, but only 56.7% according to clinician recommendations. Those with psychosocial comorbidity alone were less likely to be in the AUnotWHO group (OR 0.51, 95%CI 0.27-0.96, p = 0.04). The interaction of physical and psychosocial comorbidity was predictive of poor retention (Wald test: χ2 = 6.39, OR 2.39 [95% CI 1.15-4.97], p = 0.01), suggesting a syndemic relationship.
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Horberg MA, Certa JM, Rubenstein KB, Hurley LB, Satre DD, Kadlecik PM, Silverberg MJ. Beyond the HIV Care Continuum and Viral Suppression: Broadening the Scope of Quality Metrics for Total HIV Patient Care. AIDS Patient Care STDS 2020; 34:461-469. [PMID: 33147087 PMCID: PMC7698986 DOI: 10.1089/apc.2020.0145] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Assessing quality care for people with HIV (PWH) should not be limited to reporting on HIV Care Continuum benchmarks, particularly viral suppression rates. At Kaiser Permanente Mid-Atlantic States (KPMAS), an integrated health system providing HIV care in the District of Columbia, Maryland, and Virginia, we created a comprehensive measure of HIV quality care, including both preventative measures and clinical outcomes. We included PWH ≥18 years old with ≥6 months KPMAS membership between 2015 and 2018. Process quality metrics (QMs) include: pneumococcal vaccination and influenza vaccination; primary care physician (PCP) and/or HIV/infectious disease (HIV/ID) visits with additional HIV/ID visit; antiretroviral treatment medication fills; and syphilis and gonorrhea/chlamydia screenings. Outcome QMs include HIV RNA <200/mL and other measurements within normal range [blood pressure, body mass index (BMI), hemoglobin, blood sugar, alanine transaminase, low-density lipoproteins, estimated glomerular filtration rate]; no hospitalization/emergency department visit; no new depression diagnosis; remaining or becoming a nonsmoker. Logistic models estimated odds of achieving QMs associated with sex, age, race/ethnicity, insurance type, and HIV risk. A total of 4996 observations were analyzed. 45.6% met all process QMs, while 19.6% met all outcome QMs. Least frequently met process QM was PCP or HIV/ID visit (74.5%); least met outcome QM was BMI (60.2%). Significantly lower odds of achieving all QMs among women {odds ratio (OR) = 0.63 [95% confidence interval (CI): 0.49-0.81]} and those with Medicaid and Medicare [vs. commercial; OR = 0.48 (95% CI: 0.30-0.76) and 0.47 (95% CI: 0.31-0.71)]. Broadening the scope of HIV patient care QMs beyond viral suppression helps identify opportunities for improvement. Successful process metrics do not necessarily coincide with greater outcome metrics.
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Affiliation(s)
- Michael A. Horberg
- Kaiser Permanente Mid-Atlantic States Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
| | - Julia M. Certa
- Kaiser Permanente Mid-Atlantic States Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | - Kevin B. Rubenstein
- Kaiser Permanente Mid-Atlantic States Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | - Leo B. Hurley
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Derek D. Satre
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Peter M. Kadlecik
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
| | - Michael J. Silverberg
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
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Beima-Sofie K, Begnel ER, Golden MR, Moore A, Ramchandani M, Dombrowski JC. "It's Me as a Person, Not Me the Disease": Patient Perceptions of an HIV Care Model Designed to Engage Persons with Complex Needs. AIDS Patient Care STDS 2020; 34:267-274. [PMID: 32484744 DOI: 10.1089/apc.2019.0310] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Ending the HIV epidemic will require dedicated efforts to engage the highest need persons living with HIV (PLWH) in treatment. We assessed patient perceptions of a clinic in Seattle, Washington, that is designed for PLWH who do not engage in conventional HIV care. The Max Clinic provides walk-in access to care, incentives for blood draws and achieving viral suppression, and intensive case management. We conducted semistructured individual interviews with 25 patients purposively recruited to obtain diverse viewpoints. Interviews were audio-recorded and transcribed. Analysis used a constant comparative approach to identify major themes related to the components of the program. For many participants, engagement in the Max Clinic was the first time they had success with HIV treatment. Relationships with clinic staff and the ability to receive care on a walk-in basis had the strongest influences on engagement. Participants felt that Max Clinic staff attended to their social circumstances in ways that were distinct from prior care experiences. Walk-in visits removed perceived stigma associated with failure to keep appointments and provided immediate attention to acute concerns. Financial incentives initially motivated participants to attend clinic and take medications, but were less important for supporting ongoing engagement in care. Food incentives motivated patients to seek care and helped them focus on health issues. In summary, patients identified walk-in access to care, monetary and food incentives, and relationships with clinic staff, particularly case managers, as the key elements of an HIV clinic model for high-need PLWH.
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Affiliation(s)
- Kristin Beima-Sofie
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Emily R. Begnel
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Matthew R. Golden
- Department of Medicine, University of Washington, Seattle, Washington, USA
- HIV/STD Program, Public Health–Seattle & King County, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Allison Moore
- HIV/STD Program, Public Health–Seattle & King County, Seattle, Washington, USA
| | - Meena Ramchandani
- Department of Medicine, University of Washington, Seattle, Washington, USA
- HIV/STD Program, Public Health–Seattle & King County, Seattle, Washington, USA
| | - Julia C. Dombrowski
- Department of Medicine, University of Washington, Seattle, Washington, USA
- HIV/STD Program, Public Health–Seattle & King County, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
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Gebrezgi MT, Fennie KP, Sheehan DM, Ibrahimou B, Jones SG, Brock P, Ladner RA, Trepka MJ. Development and Validation of a Risk Prediction Tool to Identify People with HIV Infection Likely Not to Achieve Viral Suppression. AIDS Patient Care STDS 2020; 34:157-165. [PMID: 32324484 DOI: 10.1089/apc.2019.0224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Identifying people with HIV infection (PHIV), who are at risk of not achieving viral suppression, is important for designing targeted intervention. The aim of this study was to develop and test a risk prediction tool for PHIV who are at risk of not achieving viral suppression after a year of being in care. We used retrospective data to develop an integer-based scoring method using backward stepwise logistic regression. We also developed risk score categories based on the quartiles of the total risk score. The risk prediction tool was internally validated by bootstrapping. We found that nonviral suppression after a year of being in care among PHIV can be predicted using seven variables, namely, age group, race, federal poverty level, current AIDS status, current homelessness status, problematic alcohol/drug use, and current viral suppression status. Those in the high-risk category had about a 23 increase in the odds of nonviral suppression compared with the low-risk group. The risk prediction tool has good discriminative performance and calibration. Our findings suggest that nonviral suppression after a year of being in care can be predicted using easily available variables. In settings with similar demographics, the risk prediction tool can assist health care providers in identifying high-risk individuals to target for intervention. Follow-up studies are required to externally validate this risk prediction tool.
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Affiliation(s)
- Merhawi T. Gebrezgi
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA
| | | | - Diana M. Sheehan
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA
- Center for Research on US Latino HIV/AIDS and Drug Abuse (CRUSADA), Florida International University, Miami, Florida, USA
- Research Centers in Minority Institutions (RCMI), Florida International University, Miami, Florida, USA
| | - Boubakari Ibrahimou
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA
| | - Sandra G. Jones
- Nicole Wertheim College of Nursing & Health Sciences, Florida International University, Miami, Florida, USA
| | - Petra Brock
- Behavioral Science Research Corporation, Miami, Florida, USA
| | | | - Mary Jo Trepka
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA
- Research Centers in Minority Institutions (RCMI), Florida International University, Miami, Florida, USA
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de Oliveira Costa J, Schaffer AL, Medland NA, Litchfield M, Narayan SW, Guy R, McManus H, Pearson SA. Adherence to Antiretroviral Regimens in Australia: A Nationwide Cohort Study. AIDS Patient Care STDS 2020; 34:81-91. [PMID: 32049558 DOI: 10.1089/apc.2019.0278] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The lifetime use of combination antiretroviral therapy (cART) highlights the need to understand patterns of and factors associated with adherence to cART. In this cohort study using a 10% random sample of dispensing claims data for eligible Australians, we identified 2042 people dispensed cART between January 2016 and December 2017 (mean age 48.0 ± 12.0 years old, 88.6% male, and 85.9% treatment experienced). We considered people to be adherent if the proportion of treatment coverage days was ≥80% in the 360 days after their first observed cART dispensing. We also used group-based trajectory modeling (GBTM) to examine different patterns of adherence for 360 days from first observed cART dispensing. Most commonly, people receiving cART were treated with two nucleoside/nucleotide reverse transcriptase inhibitors with an integrase strand transfer inhibitors (INSTI-46.6%). Overall, 1708 people [83.6% (95% confidential interval 82.0-85.3%)] remained adherent over 360 days. GBTM identified three distinct adherence patterns: nearly always adherent [67.8% (63.7-71.9%) of the cohort], moderate adherence [26.6% (23.0-30.1%)], and low adherence [5.6% (4.1-7.2%)]. People were more likely to belong to the "nearly always adherent" trajectory if they were older (per additional year of age), treated with an INSTI regimen, and on treatment for more than 6 months. Our study demonstrates that the 360-day adherence to cART is generally high, but approximately one-third maintain a moderate or low adherence pattern. The use of INSTI regimens and additional support of treatment adherence, especially among younger people and those initiating therapy, may further improve adherence.
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Affiliation(s)
- Juliana de Oliveira Costa
- Faculty of Medicine, Centre for Big Data Research in Health, UNSW Sydney, Sydney, Australia
- Postgraduate Program in Public Health, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Andrea L. Schaffer
- Faculty of Medicine, Centre for Big Data Research in Health, UNSW Sydney, Sydney, Australia
| | | | - Melisa Litchfield
- Faculty of Medicine, Centre for Big Data Research in Health, UNSW Sydney, Sydney, Australia
| | - Sujita W. Narayan
- Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, Australia
| | - Rebecca Guy
- The Kirby Institute, UNSW Sydney, Sydney, Australia
| | | | - Sallie-Anne Pearson
- Faculty of Medicine, Centre for Big Data Research in Health, UNSW Sydney, Sydney, Australia
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