Evidence map›Paper›PMID 31466328›Full record

ArticleInternational journal of environmental research and public health2019

Socio-Cultural Adaptation and Its Related Factors for Chinese Medical Aid Team Members (CMATMs) in Africa.

Xiaochang Chen, Xiaojun Liu, Zongfu Mao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Xiaochang ChenSchool of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan 430071, China. chenxiaochang@gdmu.edu.cn.
Xiaojun LiuSchool of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan 430071, China. xiaojunliu@whu.edu.cn.
Zongfu MaoSchool of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese Medical Aid Team Members (CMATMs) have a significant impact on the implementation of China's health assistance strategies in Africa. The socio-cultural adaptation of CMATMs not only relates to the psychological situation and life quality of each member of the medical aid team, but also to the health aid performance of every single member and the medical aid team as a whole. This study evaluated CMATMs' socio-cultural adaptation and its related factors. This was a cross-sectional survey study. The participants' socio-cultural adaptation was measured by the Chinese version of the Socio-cultural Adaptation Scale (CSCAS). Stepwise multiple linear regression models were used to identify the main factors that are associated with CMATMs' socio-cultural adaptation in general and in each dimension. The present study demonstrated that, to some extent, CMATMs are facing problems in socio-cultural adaptation, specifically in interaction. The type of service region, annual aid income, and length of service were identified as the main factors that were the most predictive of the CMATMs' socio-cultural adaptation in Africa. This study obtained baseline information that is useful to relevant stakeholders in their attempts to improve CMATMs' socio-cultural adaptation.

Indexed as

Adaptation, PsychologicalCultural CharacteristicsAdultAfricaChinaCross-Sectional StudiesFemaleHealth PersonnelHumansMaleMiddle AgedQuality of LifeSocial ChangeSurveys and QuestionnairesAfricaChinaChinese medical aid teamexpatriatesocio-cultural adaptation

Identifiers

PMID31466328
PMCPMC6747731

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.