{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li S"],"funding":["the State Key Laboratory of Infections Disease Prevention and Control"],"pagination":["4352"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12751608"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<h4>Background</h4>China's expanded HIV testing program (since 2015) necessitates longitudinal evaluation of healthcare institution (HCI) performance, which provides critical evidence to enhance the precision and effectiveness of focused testing interventions, to optimize service delivery.<h4>Methods</h4>We analyzed HIV surveillance data from 202 HCIs in Nanning, China (1989-2020), characterizing: 1) HCI infrastructure distribution, 2) newly reported HIV/AIDS cases and testing volumes, and 3) test positivity rates. Spatiotemporal trends were geo-visualized (ArcGIS 10.7). TOPSIS synthesized case reports and test positivity rates (2010-2020) into composite indices, with radar mapping identifying regional disparities.<h4>Results</h4>Reporting shifted from CDC-dominated systems (99.9%, 1989-20"],"journal":["BMC public health"],"pubmed_title":["Assessing three-decade HIV testing transformation: TOPSIS-radar evaluation of tiered health system performance in rural-urban Southwestern China."],"pmcid":["PMC12751608"],"funding_grant_id":["2019SKLID602"],"pubmed_authors":["Zhu P","Lin Q","Li S","Shao Y","Feng Y","Cheng M","Li M","Tang X","Liang B","Tang H"],"additional_accession":[]},"is_claimable":false,"name":"Assessing three-decade HIV testing transformation: TOPSIS-radar evaluation of tiered health system performance in rural-urban Southwestern China.","description":"<h4>Background</h4>China's expanded HIV testing program (since 2015) necessitates longitudinal evaluation of healthcare institution (HCI) performance, which provides critical evidence to enhance the precision and effectiveness of focused testing interventions, to optimize service delivery.<h4>Methods</h4>We analyzed HIV surveillance data from 202 HCIs in Nanning, China (1989-2020), characterizing: 1) HCI infrastructure distribution, 2) newly reported HIV/AIDS cases and testing volumes, and 3) test positivity rates. Spatiotemporal trends were geo-visualized (ArcGIS 10.7). TOPSIS synthesized case reports and test positivity rates (2010-2020) into composite indices, with radar mapping identifying regional disparities.<h4>Results</h4>Reporting shifted from CDC-dominated systems (99.9%, 1989-20","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Nov","modification":"2026-06-06T07:43:53.635Z","creation":"2026-05-27T03:11:54.932Z"},"accession":"S-EPMC12751608","cross_references":{"pubmed":["41316121"],"doi":["10.1186/s12889-025-25649-x"]}}