Evidence map›Paper›PMID 37600418›Full record

ArticleHeliyon2023

Rural policing in China: Criminal investigation and policing resources for police officers.

Peng Keke, Gao Mengxi, Chen Huijun, Tang Jinyao, Xing Yuqiu, Jiang Feng

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
6.2field-weighted citation impact, top 4% 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.

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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Peng KekeCenter for Capital Safety, People's Public Security University of China, Beijing 100038, China.
Gao MengxiSchool of Public Order Science, People's Public Security University of China, Beijing 100038, China.
Chen HuijunSchool of Public Order Science, People's Public Security University of China, Beijing 100038, China.
Tang JinyaoSchool of Public Order Science, People's Public Security University of China, Beijing 100038, China.
Xing YuqiuDepartment of Advanced Study, People's Public Security University of China, Beijing 100038, China.
Jiang FengCenter for Capital Safety, People's Public Security University of China, Beijing 100038, China.
China People's Public Security University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the state of policing resources in rural areas of central China and investigates how police officers conduct criminal investigations. Semi-structured interviews were conducted with 20 police officers who had experience in criminal investigations in rural areas. The study found that police officers have developed a well-established model of criminal investigation that is effective in responding to minor crimes such as theft, drink driving, and fighting. However, there may be compliance issues with the criminal investigation skills of police officers. Additionally, rural areas lack policing resources compared to urban areas and do not have access to necessary police information resources. The results of this study suggest that rural policing in areas where resources are scarce should focus on improving the compliance of criminal investigation skills among police officers and increasing the allocation of police resources to rural areas. Policymakers and practitioners can benefit from the insights provided by this study when addressing the challenges faced by rural policing in China and other countries with similar circumstances.

Indexed as

Criminal investigationsPolicing resourcesRural policing

Identifiers

PMID37600418
PMCPMC10432220
OpenAlexW4385582688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.