Evidence map›Paper›PMID 35813887›Full record

ArticleChina CDC weekly2022

Estimating Costs of the HIV Comprehensive Intervention Using the Spectrum Model - China, 2015-2019.

Youran Zhang, Lili Wang, Zhen Jiang, Hongjing Yan, Xiaoxia Liu, Jing Gu, Guoyong Wang, Xiaosong Cheng, Qiyan Leng, Qisui Long and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Youran ZhangSchool of Health Service Management, Anhui Medical University, Hefei City, Anhui Province, China.
Lili WangSchool of Health Service Management, Anhui Medical University, Hefei City, Anhui Province, China.
Zhen JiangDivision of Prevention and intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing Municipality, China.
Hongjing YanJiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Guangxi Zhuang Autonomous Region, China.
Xiaoxia LiuZhenjiang Center for Disease Control and Prevention, Zhenjiang City, Jiangsu Province, China.
Jing GuWuxi Center for Disease Control and Prevention, Wuxi City, Jiangsu Province, China.
Guoyong WangShandong Provincial Center for Disease Control and Prevention, Jinan City, Jiangsu Province, China.
Xiaosong ChengYantai Center for Disease Control and Prevention, Yantai City, Shandong Province, China.
Qiyan LengYantai Center for Disease Control and Prevention, Yantai City, Shandong Province, China.
Qisui LongGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Zimian LiangFoshan Center for Disease Control and Prevention, Foshan City, Guangdong Province, China.
Jing WangFoshan Center for Disease Control and Prevention, Foshan City, Guangdong Province, China.
Liang LiangHebei Provincial Center for Disease Control and Prevention, Shijiazhuang City, Hebei Province, China.
Yanchao QiuShijiazhuang Center for Disease Control and Prevention, Shijiazhuang City, Hebei Province, China.
Lin ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou City, Zhejiang Province, China.
Hang HongNingbo Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In order to facilitate human immunodeficiency virus (HIV) treatment and prevention, the resource needs for HIV national strategic planning in developing regions were estimated based on Spectrum, the universal HIV cost-effectiveness analysis software. Methods: Based on the theoretical framework of Spectrum, the study developed a cost measurement tool for HIV, and calculated the cost of HIV prevention and control in 6 sampled cities in China during 2015-2019 using the Spectrum model. Results: From 2015 to 2019, the average annual costs for HIV prevention and control for Shijiazhuang, Yantai, Ningbo, Zhenjiang, Foshan, and Wuxi cities were 46.78, 47.55, 137.49, 24.73, 74.37, and 58.30 million Chinese yuan (CNY), respectively. The per capita costs were 4.37, 6.73, 17.33, 7.77, 17.56, and 8.91 CNY, respectively. In terms of the cost structure, the ratio of preventive intervention funds to therapeutic intervention funds (antiviral treatment) varied in sampled cities. Discussion: Developing comprehensive and systematic HIV fund calculation methods can provide a research basis for rational resource allocation in the field of HIV.

Indexed as

cost estimationHIVSpectrum

Identifiers

PMID35813887
PMCPMC9260083

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