Evidence map›Paper›PMID 36064390›Full record

ArticleBMC public health2022

Effectiveness of a mobile-based HIV prevention intervention for the rural and low-income population involving incentive policy to doctors in Liangshan, China: a randomized controlled trial protocol.

Meijiao Wang, Gordon Liu, Xiaotong Chen, Sai Ma, Chen Chen

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05015062 (Effectiveness of a Mobile-based HIV Prevention Intervention for Rural and Low-income Population Involving Incentive Policy for Doctors in Liangshan, China), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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.

NCT05015062 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Effectiveness of a Mobile-based HIV Prevention Intervention for Rural and Low-income Population Involving Incentive Policy for Doctors in Liangshan, China: a Randomized Controlled Trial Protocol

TypeinterventionalSponsorPeking UniversityRan2023 to 2025Enrolled4,000ConditionsHIV/AIDSArmsMobile-based HIV-related educational message delivery, Incentive policies evaluation
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Meijiao WangSchool of Public Administration and Humanities, Dalian Maritime University, Dalian, Liaoning, People's Republic of China.
Gordon LiuChina Center for Health Economic Research, Peking University, Beijing, People's Republic of China. gordonliu@nsd.pku.edu.cn.
Xiaotong ChenChina Center for Health Economic Research, Peking University, Beijing, People's Republic of China.
Sai MaChina Center for Health Economic Research, Peking University, Beijing, People's Republic of China.
Chen ChenDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, People's Republic of China. chenchen835@whu.edu.cn.ORCID http://orcid.org/0000-0003-0167-6152
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe HIV/AIDS epidemic is a concerning problem in many parts of the world, especially in rural and poor areas. Due to health service inequality and public stigma towards the disease, it is difficult to conduct face-to-face interventions. The widespread use of mobile phones and social media applications thus provide a feasible and acceptable approach for HIV prevention and education delivery in this population. The study aims to develop a generalizable, effective, acceptable, and convenient mobile-based information intervention model to improve HIV-related knowledge, attitudes, practices, and health outcomes in poverty-stricken areas in China and measure the impact of incentive policies on the work of village doctors in Liangshan, China.

methodsA randomized controlled trial design is used to evaluate the effectiveness of an 18-month mobile-based HIV prevention intervention, collaborating with local village doctors and consisting of group-based knowledge dissemination and individualized communication on WeChat and the Chinese Version of TikTok in Liangshan, China. Each village is defined as a cluster managed by a village doctor with 20 adults possessing mobile phones randomly selected from different families as participants, totaling 200 villages. Clusters are randomized (1:1:1) to the Control without mobile-based knowledge dissemination, Intervention A with standardized compensation to the village doctors, or Intervention B with performance-based compensation to the village doctors. The intervention groups will receive biweekly messages containing HIV-related educational modules. Data will be collected at baseline and 6-, 12-, and 18-month periods for outcome measurements. The primary outcomes of the study are HIV-related knowledge improvement and the effectiveness of village doctor targeted incentive policies. The secondary outcomes include secondary knowledge transmission, behavioral changes, health outcomes, social factors, and study design's acceptability and reproducibility. These outcomes will be explored via various qualitative and quantitative means. DISCUSSION: The findings will provide insights into the effectiveness, generalizability, and challenges of the mobile-based HIV prevention intervention for the population living in rural communities with low education levels and will guide the development of similar models in other low-income and culturally isolated regions.

trial registrationClinicalTrial.gov: NCT05015062 ; Registered on June 6, 2022.

Indexed as

HIV InfectionsRural PopulationAdultChinaHumansMotivationPolicyPovertyRandomized Controlled Trials as TopicReproducibility of ResultsHIV preventionMobile-based interventionSecondary knowledge transmissionVillage doctors

Identifiers

PMID36064390
PMCPMC9447340
OpenAlexW4294680491

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Registered trials

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.