Evidence map›Paper›PMID 26293247›Full record

ArticleBMC health services research2015

Determinants of emergency response responsibility perceptions in the local public health workforce after China's health sector restructuring.

Mingli Jiao, Ning Ning, Qunhong Wu, David H Peters, Yanhua Hao, Ye Li, Xingang Wei, Zheng Kang

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 93% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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  4. Occupational nursing during disasters from the perspective of holistic theory.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    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

8 authors at 2 institutions in 2 countries.

Mingli JiaoDepartment of Health Policy and Hospital Management, Health Management School of Harbin Medical University, 157 Baojian Road, Harbin City, Heilongjiang Province, China. minglijiao@126.com.
Ning NingDepartment of Social Medicine, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin City, Heilongjiang Province, China. ningning19812014@126.com.
Qunhong WuDepartment of Social Medicine, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin City, Heilongjiang Province, China. wuqunhong@163.com.
David H PetersDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD, 21205, USA. 510971483@qq.com.
Yanhua HaoDepartment of Social Medicine, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin City, Heilongjiang Province, China. yanhuahao@126.com.
Ye LiDepartment of Social Medicine, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin City, Heilongjiang Province, China. liye19832014@126.com.
Xingang WeiHealth Bureau of Heilongjiang Province, Heilongjiang, Peoples Republic of China. 715805077@qq.com.
Zheng KangDepartment of Social Medicine, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin City, Heilongjiang Province, China. zhengkang1983@126.com.
Harbin Medical University · CNJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocal health departments are the backbone of public health emergency (PHE) response plans. The front line of emergency response preparedness is people. Role perceptions of individual staff members of a given organization strongly affect response probability and performance. Therefore, the aim of this study was to determine local public health employees' perceptions of emergency response responsibilities, identify factors that influence their perception, and indicate the challenges and bottlenecks of PHE response in the Health Inspection Institution (HII) after its separation from China's multiple Centers for Disease Control and Prevention (CDC).

methodsWe used a stratified randomized sample survey to examine HII workers' knowledge of their own duties concerning PHE response in 17 facilities in Heilongjiang, a province in northeastern China. Data were collected from May to July 2010 using a 9-item combined question inquiring about the workers' statutory duties.

resultsOf 348 administered surveys, 309 were returned for an overall response rate of 88.8%. Overall, the correct recognition rate of PHE responsibilities was low. Some HII workers were confused about their responsibilities required by law, regulations, and emergency response plans. A quarter of all the respondents had the lowest knowledge for PHE responsibilities. Factors influencing their perceptions of responsibilities were department, work experience in a CDC, and PHE response experience.

conclusionsTo improve preparedness for a PHE, efforts are needed to train, support, and monitor the workers' knowledge and competencies in PHEs as part of an organizational change; the worker's knowledge of their responsibilities should be measured and used as an indicator of preparedness for a PHE, and training should be undertaken where there are deficiencies. Management should also encourage workers in the departments of food hygiene/school health surveillance to be more involved in PHE preparedness and response issues.

Indexed as

Emergency Medical ServicesHealth Care ReformHealth Knowledge, Attitudes, PracticePublic HealthAdultChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesWorkforceYoung Adult

Identifiers

PMID26293247
PMCPMC4546225
OpenAlexW1962590867

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.