| Literature DB >> 35857755 |
Chien-Ching Hung1,2, Sumita Banerjee3, Ishwar Gilada4, Kimberly Green5, Yoji Inoue6, Adeeba Kamarulzaman7, Kate Leyritana8, Nittaya Phanuphak9, Timothy Wong10, TinHung Wong11, Shikha Singh12, Jun Yong Choi13.
Abstract
BACKGROUND: The COVID-19 pandemic has threatened continued access to public health services worldwide, including HIV prevention and care. This study aimed to evaluate the impact of the COVID-19 pandemic on HIV service access and delivery in the Asia region.Entities:
Mesh:
Year: 2022 PMID: 35857755 PMCID: PMC9299301 DOI: 10.1371/journal.pone.0270831
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Characteristics of people living with HIV (PLHIV), individuals from key populations (KPs), and healthcare providers (HCPs) in Asia region (regional weighted average).
| PLHIV | KPs | ||
|---|---|---|---|
| N = 702 | N = 551 | ||
|
|
| ||
|
| 28.0% | 42.9% | |
|
| 36.7% | 36.1% | |
|
| 22.6% | 16.3% | |
|
| 9.1% | 3.4% | |
|
| 3.7% | 1.4% | |
|
|
| 89.1% | 77.2% |
|
| 6.0% | 6.2% | |
|
| 0.2% | 2.3% | |
|
| 2.6% | 10.2% | |
|
| 1.3% | 1.5% | |
|
| 0.7% | 2.6% | |
|
|
| 15.0% | 16.8% |
|
| 76.9% | 67.0% | |
|
| 0.3% | 0.4% | |
|
| 5.9% | 9.6% | |
| 1.0% | 4.1% | ||
|
| 0.9% | 2.1% | |
|
|
|
| |
|
|
| N = 145 | |
|
|
| 90.0% | |
|
| 10.0% | ||
|
|
| 43.1% | |
|
| 28.3% | ||
|
| 18.0% | ||
|
| 65.6% | ||
|
| 28.1% | ||
|
| 6.3% | ||
|
| 10.6% | ||
|
|
| 12.8 ± 7.6 | |
|
| 20.6% | ||
|
| 20.9% | ||
|
| 29.5% | ||
|
| 14.0% | ||
|
| 8.1% | ||
|
| 6.8% | ||
†Weighted average across all 10 countries/territories (n = 145)
§Weighted average (excluding Taiwan) (n = 113)
‡Average based on hospital/clinics applicable to Taiwan (n = 32)
SD, standard deviation
Fig 1Impact of COVID-19 on HIV care and prevention perceived by people living with HIV (PLHIV) and key populations (KPs) across the region.
(A) Perceived changes in visitation frequency to hospitals/clinics and (B) HIV-related testing frequency; (C) perceived interruptions by PLHIV towards antiretroviral therapy (ART) compliance; (D) perceived changes by KPs towards HIV preventive medicine (PrEP/nPEP) compliance; (E) level of concern about long-term access to anti-HIV medications such as ART or preventive medication.
Reasons perceived for the changes in HIV testing and anti-HIV medication consumption among PLHIV and KPs as well as changes in anti-HIV medication prescription refilling among HCPs.
|
|
| |
|
| 143 | 551 |
| | 22.7% | 5.6% |
| | 47.4% | 33.5% |
| | 43.4% | 40.3% |
| | 19.1% | 14.3% |
| | n/a | 52.0% |
| | n/a | 16.6% |
| | 17.1% | n/a |
|
|
| |
|
| 60 | 49 |
| | 40.6% | 41.8% |
| | 28.9% | 20.3% |
| | 26.9% | 2.2% |
| | 24.0% | 18.0% |
| | 23.2% | 36.7% |
| | n/a | 57.7% |
| | n/a | 21.5% |
|
| ||
|
|
| |
|
| 73 | 75 |
| | n/a | 52.2% |
| | 66.5% | 75.0% |
| | 43.2% | 36.6% |
| | 9.5% | 11.5% |
†Weighted average across all 10 countries/territories (n = 145)
n/a indicate the option response is not applicable
ART, antiretroviral therapy; HCPs, healthcare providers; KPs, key populations; PLHIV, people living with HIV
Fig 2Use of telehealth services during COVID-19 by people living with HIV (PLHIV) and key populations (KPs) across the region.
(A) Types of telehealth services used during COVID-19 pandemic, and (B) types of telehealth services for future HIV care and prevention preferred by PLHIV and individuals from KPs.
Fig 3Impact of COVID-19 on HIV care among HCPs across the region.
Changes in (A) consultation frequency and (B) patient load, (C) HIV-related testing frequency as well as (D) anti-HIV medication refilling frequency, (E) the types of telehealth services used, and (F) reasons for adopting telehealth services for delivering HIV prevention and care by HCPs to PLHIV and KPs.