Could the connectedness of primary health care workers involved in social networks affect their job burnout? A cross-sectional study in six counties, Central China.
Connectedness
Job burnout
Primary health care workers
Social networks
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
18 Jun 2020
18 Jun 2020
Historique:
received:
19
08
2019
accepted:
12
06
2020
entrez:
20
6
2020
pubmed:
20
6
2020
medline:
15
12
2020
Statut:
epublish
Résumé
This study aimed to reveal the effects of the connectedness of primary health care (PHC) workers in social networks on their job burnout. Cross-sectional survey data of rural PHC workers in China were analyzed. A total of 663 respondents were enrolled. Chi-square and cumulative logistic regression were used to determine the effects of the connectedness of PHC workers in social networks on their job burnout. PHC workers in rural China had high levels of emotional exhaustion (24.1%), depersonalization (15.7%), and lack of personal accomplishment (34.7%). More than half of the participants were in the middle connectedness level in terms of their advisory (70.4%) and friendship (70.3%) networks. The degree of emotional exhaustion seemed to increase when participants had a low connectedness in their friendship networks (β = 0.769, 95% CI = 0.080-1.458, P = 0.029). Respondents with the middle level of connectedness in advisory networks had higher levels of depersonalization (β = 0.739, 95% CI = 0.130-1.348, P = 0.017) and lack of personal accomplishment (β = 0.583, 95% CI = 0.111-1.055, P = 0.015) than those with the high degree of connectedness in advisory networks. The connectedness of PHC workers in social networks influenced their job burnout. Thus, organizations should establish an informal communication platform and information feedback mechanism, promote and manage friendship networks, and help PHC workers overcome emotional exhaustion. Managers should also encourage individuals with a high level of connectedness in advisory networks play the role of "opinion leader" so that they can help others mitigate burnout.
Sections du résumé
BACKGROUND
BACKGROUND
This study aimed to reveal the effects of the connectedness of primary health care (PHC) workers in social networks on their job burnout.
METHODS
METHODS
Cross-sectional survey data of rural PHC workers in China were analyzed. A total of 663 respondents were enrolled. Chi-square and cumulative logistic regression were used to determine the effects of the connectedness of PHC workers in social networks on their job burnout.
RESULTS
RESULTS
PHC workers in rural China had high levels of emotional exhaustion (24.1%), depersonalization (15.7%), and lack of personal accomplishment (34.7%). More than half of the participants were in the middle connectedness level in terms of their advisory (70.4%) and friendship (70.3%) networks. The degree of emotional exhaustion seemed to increase when participants had a low connectedness in their friendship networks (β = 0.769, 95% CI = 0.080-1.458, P = 0.029). Respondents with the middle level of connectedness in advisory networks had higher levels of depersonalization (β = 0.739, 95% CI = 0.130-1.348, P = 0.017) and lack of personal accomplishment (β = 0.583, 95% CI = 0.111-1.055, P = 0.015) than those with the high degree of connectedness in advisory networks.
CONCLUSIONS
CONCLUSIONS
The connectedness of PHC workers in social networks influenced their job burnout. Thus, organizations should establish an informal communication platform and information feedback mechanism, promote and manage friendship networks, and help PHC workers overcome emotional exhaustion. Managers should also encourage individuals with a high level of connectedness in advisory networks play the role of "opinion leader" so that they can help others mitigate burnout.
Identifiants
pubmed: 32552752
doi: 10.1186/s12913-020-05426-9
pii: 10.1186/s12913-020-05426-9
pmc: PMC7302340
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
557Subventions
Organisme : National Natural Science Foundation of China
ID : 71673098
Références
J Clin Nurs. 2017 Dec;26(23-24):4286-4292
pubmed: 28177546
BMC Health Serv Res. 2011 Jun 01;11:140
pubmed: 21631936
J Intern Med. 2018 Jun;283(6):516-529
pubmed: 29505159
Hum Resour Health. 2019 Jan 7;17(1):2
pubmed: 30612573
Med Educ Online. 2019 Dec;24(1):1593785
pubmed: 30957686
J Occup Health. 2014;56(1):73-83
pubmed: 24430838
BMC Fam Pract. 2019 Mar 13;20(1):44
pubmed: 30871513
Adm Policy Ment Health. 2018 Jan;45(1):121-130
pubmed: 27783240
Implement Sci. 2011 Jul 03;6:67
pubmed: 21722400
BMJ. 2019 Jun 19;365:l2349
pubmed: 31217222
J Nurs Res. 2015 Sep;23(3):172-80
pubmed: 25700278
Afr J Prim Health Care Fam Med. 2018 May 24;10(1):e1-e7
pubmed: 29943596
BMC Health Serv Res. 2015 Feb 27;15:75
pubmed: 25889866
J Gen Intern Med. 2007 Jun;22(6):794-8
pubmed: 17404798
J Ren Care. 2010 Dec;36(4):174-9
pubmed: 20969734
Nurs Outlook. 2012 Sep-Oct;60(5):322-9
pubmed: 22464694
Gates Open Res. 2018 Jun 11;2:4
pubmed: 29984356
Tohoku J Exp Med. 2018;245(3):167-177
pubmed: 29998918
BMC Health Serv Res. 2017 Jun 19;17(1):412
pubmed: 28629360
Int J Health Serv. 2019 Jul;49(3):642-657
pubmed: 30966853
BMC Public Health. 2013 Feb 19;13:154
pubmed: 23421987
Int J Environ Res Public Health. 2020 Jan 22;17(3):
pubmed: 31979154