Trends in Follow-Up Visits Among People Living With HIV: Results From the TREAT Asia and Australian HIV Observational Databases

Less frequent follow-up visits may reduce the burden on people living with HIV (PLHIV) and health care facilities. We aimed to assess trends in follow-up visits and survival outcomes among PLHIV in Asia and Australasia. PLHIV enrolled in TREAT Asia HIV Observational Database (TAHOD) or Australian HI...

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Veröffentlicht in:Journal of acquired immune deficiency syndromes (1999) 2021-09, Vol.88 (1), p.70-78
Hauptverfasser: Jiamsakul, Awachana, Boyd, Mark, Choi, Jun Yong, Edmiston, Natalie, Kumarasamy, Nagalingeswaran, Hutchinson, Jolie, Law, Matthew, Ditangco, Rossana
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container_title Journal of acquired immune deficiency syndromes (1999)
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creator Jiamsakul, Awachana
Boyd, Mark
Choi, Jun Yong
Edmiston, Natalie
Kumarasamy, Nagalingeswaran
Hutchinson, Jolie
Law, Matthew
Ditangco, Rossana
description Less frequent follow-up visits may reduce the burden on people living with HIV (PLHIV) and health care facilities. We aimed to assess trends in follow-up visits and survival outcomes among PLHIV in Asia and Australasia. PLHIV enrolled in TREAT Asia HIV Observational Database (TAHOD) or Australian HIV Observational Database (AHOD) from 2008 to 2017 were included. Follow-up visits included laboratory testing and clinic visit dates. Visit rates and survival were analyzed using repeated measure Poisson regression and competing risk regression, respectively. Additional analyses were limited to stable PLHIV with viral load
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We aimed to assess trends in follow-up visits and survival outcomes among PLHIV in Asia and Australasia. PLHIV enrolled in TREAT Asia HIV Observational Database (TAHOD) or Australian HIV Observational Database (AHOD) from 2008 to 2017 were included. Follow-up visits included laboratory testing and clinic visit dates. Visit rates and survival were analyzed using repeated measure Poisson regression and competing risk regression, respectively. Additional analyses were limited to stable PLHIV with viral load &lt;1000 copies/mL and self-reported adherence ≥95%. We included 7707 PLHIV from TAHOD and 3289 PLHIV from AHOD. Visit rates were 4.33 per person-years (/PYS) in TAHOD and 3.68/PYS in AHOD. Both TAHOD and AHOD showed decreasing visit rates in later calendar years compared with that in years 2008-2009 (P &lt; 0.001 for both cohorts). Compared with PLHIV with 2 visits, those with ≥4 visits had poorer survival: TAHOD ≥4 visits, subhazard ratio (SHR) = 1.88, 95% confidence interval (CI): 1.16 to 3.03, P = 0.010; AHOD ≥4 visits, SHR = 1.80, 95% CI: 1.10 to 2.97, P = 0.020; whereas those with ≤1 visit showed no differences in mortality. The association remained evident among stable PLHIV: TAHOD ≥4 visits, SHR = 5.79, 95% CI: 1.84 to 18.24, P = 0.003; AHOD ≥4 visits, SHR = 2.15, 95% CI: 1.20 to 3.85, P = 0.010, compared with 2 visits. Both TAHOD and AHOD visit rates have declined. Less frequent visits did not affect survival outcomes; however, poorer health possibly leads to increased follow-up and higher mortality. 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Compared with PLHIV with 2 visits, those with ≥4 visits had poorer survival: TAHOD ≥4 visits, subhazard ratio (SHR) = 1.88, 95% confidence interval (CI): 1.16 to 3.03, P = 0.010; AHOD ≥4 visits, SHR = 1.80, 95% CI: 1.10 to 2.97, P = 0.020; whereas those with ≤1 visit showed no differences in mortality. The association remained evident among stable PLHIV: TAHOD ≥4 visits, SHR = 5.79, 95% CI: 1.84 to 18.24, P = 0.003; AHOD ≥4 visits, SHR = 2.15, 95% CI: 1.20 to 3.85, P = 0.010, compared with 2 visits. Both TAHOD and AHOD visit rates have declined. Less frequent visits did not affect survival outcomes; however, poorer health possibly leads to increased follow-up and higher mortality. 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We aimed to assess trends in follow-up visits and survival outcomes among PLHIV in Asia and Australasia. PLHIV enrolled in TREAT Asia HIV Observational Database (TAHOD) or Australian HIV Observational Database (AHOD) from 2008 to 2017 were included. Follow-up visits included laboratory testing and clinic visit dates. Visit rates and survival were analyzed using repeated measure Poisson regression and competing risk regression, respectively. Additional analyses were limited to stable PLHIV with viral load &lt;1000 copies/mL and self-reported adherence ≥95%. We included 7707 PLHIV from TAHOD and 3289 PLHIV from AHOD. Visit rates were 4.33 per person-years (/PYS) in TAHOD and 3.68/PYS in AHOD. Both TAHOD and AHOD showed decreasing visit rates in later calendar years compared with that in years 2008-2009 (P &lt; 0.001 for both cohorts). Compared with PLHIV with 2 visits, those with ≥4 visits had poorer survival: TAHOD ≥4 visits, subhazard ratio (SHR) = 1.88, 95% confidence interval (CI): 1.16 to 3.03, P = 0.010; AHOD ≥4 visits, SHR = 1.80, 95% CI: 1.10 to 2.97, P = 0.020; whereas those with ≤1 visit showed no differences in mortality. The association remained evident among stable PLHIV: TAHOD ≥4 visits, SHR = 5.79, 95% CI: 1.84 to 18.24, P = 0.003; AHOD ≥4 visits, SHR = 2.15, 95% CI: 1.20 to 3.85, P = 0.010, compared with 2 visits. Both TAHOD and AHOD visit rates have declined. Less frequent visits did not affect survival outcomes; however, poorer health possibly leads to increased follow-up and higher mortality. Reducing visit frequency may be achievable among PLHIV with no other medical complications.</abstract><cop>United States</cop><pub>JAIDS Journal of Acquired Immune Deficiency Syndromes</pub><pmid>33990493</pmid><doi>10.1097/QAI.0000000000002725</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Anti-HIV Agents - therapeutic use
Antiretroviral Therapy, Highly Active
Asia - epidemiology
Australia - epidemiology
Complications
Confidence intervals
Female
Follow-Up Studies
Health care
Health care facilities
HIV
HIV Infections - drug therapy
HIV Infections - epidemiology
HIV Infections - mortality
Human immunodeficiency virus
Humans
Kaplan-Meier Estimate
Laboratory tests
Male
Medication Adherence
Middle Aged
Mortality
Statistical analysis
Survival
Trends
Young Adult
title Trends in Follow-Up Visits Among People Living With HIV: Results From the TREAT Asia and Australian HIV Observational Databases
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