Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Northbrook SC[original query] |
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Outreach strategies to promote HIV testing and linkage-to-care focusing on a young sexual and gender-diverse population in Bangkok, Thailand
Chiaprasert P , Lolekha R , Rungmaitree S , Maleesatharn A , Sethaputra C , Durier Y , Srisoonthonthai P , Pumpradit W , Northbrook SC , Weerarak P , Chokephaibulkit K . PLoS One 2024 19 (1) e0296130 INTRODUCTION: Human Immunodeficiency Virus (HIV) prevalence among young gender-diverse (a wide range of gender identities for people whose gender identity is different from the sex that they were assigned at birth) individuals is high but testing coverage among this key population remains low. We aim to evaluate strategies for outreach, HIV testing, and linkage to proper management in young men-who-have-had-sex-with-men (MSM, homosexual male) and transgender women (TGW) in Bangkok, Thailand. METHODS: The "YM2M outreach program" consisted of two strategies: 1) online platforms (OP) and 2) physical outreach activities (POA). Participant questionnaires were completed on a voluntary basis during outreach activities during 2018-2021. Demographic and behavioral characteristics were assessed for association with HIV positivity. RESULTS: A total of 3,972 homosexual male and TGW participated in the YM2M program: 2,973 by OP and 999 by POA. Of 2,230 participants who reported gender identity, 603/1,392 (43.3%) of OP and 252/985 (25.6%) of POA were gender diverse. Of 631 (21.2%) participants in OP and 970 (97.1%) in POA who underwent testing, 286 (45.3%) in OP and 41 (4.2%) in POA were HIV-positive. The venue reporting highest HIV yield was the Mor-Lam (11.5%). Among those with an HIV-positive test, 175 (61.2%) from OP and 23 (51.1%) from POA were successfully linked to HIV care. The independent factors associated with HIV positive in OP were being youth (adjusted odd ratio (aOR), 0.37; 95%CI 0.16-0.81; P = 0.01) and suspected or confirmed STI (aOR 15.39; 95%CI 7.17-33.03, P<0.01); while those in in POA at Mor-Lam were being gender diverse (aOR, 8.43; 95%CI 1.94-36.62; P<0.01) and reactive syphilis test (aOR, 5.40;95%CI 2.45-11.88; P<0.01). Linkage to pre-exposure prophylaxis (PrEP) among HIV-negative participants was low, 4.9% and 2.6% in OP and POA participants, respectively. CONCLUSIONS: While uptake of HIV testing was higher in POA while OP was more effective in identifying undiagnosed people living with HIV/AIDS and linking them to care. Neither strategy was considered effective in linkage to PrEP. |
Development of automated HIV case reporting system using national electronic medical record in Thailand
Yingyong T , Aungkulanon S , Saithong W , Jantaramanee S , Phokhasawad K , Fellows I , Naiwatanakul T , Mobnarin J , Charoen N , Waikayee P , Northbrook SC . BMJ Health Care Inform 2022 29 (1) Background: An electronic medical record (EMR) has the potential to improve completeness and reporting of notifiable diseases. We developed and assessed the validity of an HIV case detection algorithm and deployed the final algorithm in a national automated HIV case reporting system in Thailand. Method(s): The HIV case detection algorithms leveraged a combination of standard laboratory codes, prescriptions and International Classification of Diseases, 10th Revision diagnostic codes to identify potential cases. The initial algorithm was applied to the national EMR from 2014 to June 2020 to identify HIV-infected subjects to build the national HIV case reporting system (Epidemiological Intelligence Information System (EIIS)). A subset of potential positives identified by the initial algorithm were then validated and reviewed by infectious disease specialists. This review identified that a proportion of the false positives were due to pre-exposure prophylaxis/postexposure prophylaxis (PrEP/PEP) antiretrovirals, and so the algorithm was refined into a 'Final Algorithm' to address this. Result(s): Positive predictive value of identifying HIV cases was 90% overall for the initial algorithm. Individuals misclassified as HIV-positive were HIV-negative patients with incorrect diagnostic codes, prescription records for PrEP, PEP and hepatitis B treatment. Additional revision to the algorithm included triple drug regimen to avoid further misclassification. The final HIV case detection algorithm was applied to national EMR between 2014 and 2020 with 449 088 HIV-infected subjects identified from 1496 hospitals. EIIS was designed by applying the final algorithm to automated extract HIV cases from the national EMR, analysing them and then transmitting the results to the Ministry of Public Health. Conclusion(s): EMR data can complement traditional provider-based and laboratory-based disease reports. An automated algorithm incorporating laboratory, diagnosis codes and prescriptions have the potential to improve completeness and timeliness of HIV reporting, leading to the implementation of a national HIV case reporting system. Copyright 2022 Author(s) (or their employer(s)). |
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