Predictors associated with absenteeism-disease among Nursing professionals working in an emergency hospital service

Kunrath, Gustavo Mattes; Santarem, Michelle Dornelles; Oliveira, João Lucas Campos de; Machado, Maria Luiza Paz; Camargo, Morgana Pescador de; Rosa, Ninon Girardon da; Almeida, Valmir Machado de; Vieira, Letícia Becker

doi:10.1590/1983-1447.2021.20190433

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Original Article • Rev. Gaúcha Enferm. 42 • 2021 • https://doi.org/10.1590/1983-1447.2021.20190433 copy

Predictors associated with absenteeism-disease among Nursing professionals working in an emergency hospital service

Predictores asociados al ausentismo-enfermedad entre profesionales de Enfermería de un servicio hospitalario de emergencia

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Objective:

To verify the predictors associated with sick leave from 15 days onwards among Nursing professionals of an emergency hospital service.

Method:

A cross-sectional, retrospective, and descriptive-analytical study. The sample consists of the records of sick leave (n=2,403) due to diseases of the Nursing professionals (n=197) working in an emergency hospital service in southern Brazil, from 2013 to 2018. Descriptive and statistical analysis was used, as well as the multivariate regression model.

Results:

There was predominance of females (72.6%), white-skinned (86.3%), with a mean age of 45.05 (SD=9.77) years old, and nursing technicians (74.6%). The prevalent cause of sick leave was related to clinical diseases (62.5%). The predictors associated with sick leave from 15 days onwards were the following: Age (OR: 0.97; 95% CI=0.95-0.99) and Musculoskeletal Diseases (OR: 8.95; 95% CI=5.30-15.11).

Conclusion:

Age and musculoskeletal diseases were predictors of sick leave from 15 days onwards of the Nursing team.

Keywords:
Absenteeism. Nursing team. Occupational health. Emergency service; hospital. Nursing staff; hospital

Variables		Professional Category
Variables		Team Total n (%)	Nurses n (%)	CI_95%	Nurs. Technicians n (%)	CI_95%	p-value
Demographic		197 (100)	50 (100)	-	147 (100)	-
	Age, median (IQR)	42 (16)	41.5 (11)	-	42 (18)	-	0.196 ^a
	Minimum-Maximum	26-72	30-60	-	26-72	-
Gender	Male	54 (27.4)	11 (22)	[11.5-36]	43 (29.3)	[22-37.3]	0.211 ^b
	Female	143 (72.6)	39 (78)	[64-88.]	104 (70.7)	[62.7-78]
Schooling	Up to 9 years	1 (0.5)	0 (0)	[0]	1 (0.7)	[0-3.7]	<0.001 ^b
	10-12 years	121 (61.4)	1 (2)	[0.1-10.6]	120 (81.6)	[74.4-87.5]
	13 years or more	75 (38.1)	49 (98)	[89.4-99.9]	26 (17.7)	[11.9-24.8]
Ethnicity	White	170 (86.3)	47 (94)	[83-5-98.7]	123 (83.7)	[76.7-89.3]	0.173 ^b
	Black	25 (12.7)	3 (6)	[1.3-16.5]	22 (15)	[9.6-21.8]
	Brown	2 (1)	0 (0)	[0]	2 (1.4)	[0.2-4.8]
Days Away	Minimum-Maximum	1-169	1-159	-	1-169	-	0.692 ^a
Shift	Night	90 (45.7)	21 (42)	[28.2-56.8]	69 (46.9)	[38.7-55.3]	<0.001 ^b
	Morning	51 (25.9)	9 (18)	[8.6-31.4]	42 (28.6)	[21.4-36.6]
	Afternoon	47 (23.8)	11 (22)	[11.5-36]	36 (24.5)	[17.8-32.3]
	Sixth Shift^c	9 (4.6)	9 (18)	[8.6-31.4]	0 (0)	[0]

	Professional Category
	Team Total n (%)	Nurses n (%)	CI_95%	Nurs. Technicians n (%)	CI_95%	p-value
Causes of Leave	2,403 (100)	695 (100)		1,708 (100)
Clinical	1,503 (62.5)	466 (67.1)	[63.4-70.5]	1,037 (60.7)	[58.4-63]	<0.001 ^b
Musculoskeletal	556 (23.1)	126 (18.1)	[15.3-21.2]	430 (25.2)	[23.1-27.3]
Psychiatric	105 (4.4)	52 (7.5)	[5.6-9.7]	117 (6.9)	[5.7-8.2]
Surgical	169 (7)	22 (3.2)	[2-4.8]	83 (4.9)	[3.9-6]
Unknown	70 (2.9)	29 (4.2)	[2.8-5.9]	41 (2.4)	[1.7-3.2]

Co-variables		Univariate			Multivariate
Co-variables		OR	CI_95%	p-value	OR	CI_95%	p-value
Age		0.97	[0.95-0.99]	0.023	0.97	0.95-0.99	0.042
Gender	Male	0.64	[0.37-1.12]	0.123	-	-	-
Causes	Musculoskeletal Diseases	9.02	[5.36-15.20]	<0.0001	8.95	5.30-15.11	<0.0001

Universidade Federal do Rio Grande do Sul. Escola de Enfermagem Rua São Manoel, 963 -Campus da Saúde , 90.620-110 - Porto Alegre - RS - Brasil, Fone: (55 51) 3308-5242 / Fax: (55 51) 3308-5436 - Porto Alegre - RS - Brazil
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[1] Corresponding author:
João Lucas Campos de Oliveira E-mail: joao-lucascampos@hotmail.com