Evidence map›Paper›PMID 35918844›Full record

Observational studyJMIR public health and surveillance2022

Spatiotemporal Analysis of Online Purchase of HIV Self-testing Kits in China, 2015-2017: Longitudinal Observational Study.

Yi Lv, Qiyu Zhu, Chengdong Xu, Guanbin Zhang, Yan Jiang, Mengjie Han, Cong Jin

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yi Lv *National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0003-4430-1641
Qiyu Zhu *National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2904-7019
Chengdong Xu *State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-9266-7309
Guanbin Zhang *National Engineering Research Center for Beijing Biochip Technology, Beijing, China.ORCID 0000-0003-2037-343X
Yan JiangChinese Association of STD and AIDS Prevention and Control, Beijing, China.ORCID 0000-0002-6790-1474
Mengjie HanNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0001-6552-4137
Cong JinNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2344-6561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the introduction of HIV self-testing by UNAIDS in 2014, the practice has been extensively implemented around the world. HIV self-testing (HIVST) was developed in China around 2015, and the online purchase of HIVST kits through e-commerce platforms has since become the most important delivery method for self-testing, with advantages such as user-friendliness, speed, and better privacy protection.

objectiveUnderstanding the spatiotemporal characteristics of online HIVST kit purchasing behavior and identifying potential impacting factors will help promote the HIV self-testing strategy.

methodsThe online retail data of HIVST kits from the 2 largest e-commerce platforms in China from 2015 to 2017 were collected for this study. The Bayesian spatiotemporal hierarchical model was used to investigate the spatiotemporal characteristics of online purchased HIVST kits. Ordinary least squares regression was used to identify potential factors associated with online purchase, including GDP per capita, population density, road density, HIV screening laboratory density, and newly diagnosed HIV/AIDS cases per 100,000 persons. The q statistics calculated by Geodetector were used to determine the interactive effect of every 2 factors on the online purchase.

resultsThe online purchase of HIVST kits increased rapidly in China from 2015 to 2017, with annual peak sales in May and December. Five economically superior regions in China, Pearl River Delta, Yangtze River Delta, Chengdu and surrounding areas, Beijing and Tianjin areas, and Shandong Peninsula, showed a comparatively higher spatial preference for online purchased HIVST kits. The GDP per capita (P<.001) and the rate of newly diagnosed HIV/AIDS cases per 100,000 persons (P<.001) were identified as 2 factors positively associated with online purchase. Among the factors we investigated in this study, 2 factors associated with online purchase, GDP per capita and the rate of newly diagnosed HIV/AIDS cases per 100,000 persons, also displayed the strongest interactive effect, with a q value of 0.66.

conclusionsIndividuals in better-off areas are more inclined to purchase HIVST kits online. In addition to economic status, the severity of the HIV epidemic is also a factor influencing the online purchase of HIVST kits.

Indexed as

HIV InfectionsSelf-TestingBayes TheoremChinaHumansSpatio-Temporal AnalysischaracteristicsChinae-commerceeconomic statusHIVHIV epidemiconlinepurchaseself-testingspatiotemporal

Identifiers

PMID35918844
PMCPMC9555321

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.