Skip to main content
Erschienen in:

Open Access 01.12.2023 | Research

Health-promoting work schedules among nurses and nurse assistants in France: results from nationwide AMADEUS survey

verfasst von: Guillaume Fond, Guillaume Lucas, Laurent Boyer

Erschienen in: BMC Nursing | Ausgabe 1/2023

Abstract

Background

The study aimed to investigate the relationship between different work schedules and self-reported working conditions and health risk behaviours among nurses and nurse assistants (NNA) in France. It hypothesized that work schedules, particularly long shifts, could impact work-life balance, workload, stress levels, burnout, and smoking habits. NNA had the option to work either with a 7-hour schedule, 5 days per week, or with long work schedules consisting of ten to twelve-hour shifts, three days per week. These schedules could potentially influence various aspects of their professional lives.

Methods

The survey followed the guidelines of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and was administered to NNA working in public and private national healthcare facilities in France. The researchers used the Job Content Questionnaire to assess the work environment and the French version of the 22-item Maslach Burnout Inventory (MBI) scale to measure burnout.

Results

A total of 3,133 NNA participated in the study, including 2,369 nurses (75.6%) and 764 nurse assistants (24.4%). Among them, 1,811 individuals (57.8%) followed a 7-hour work schedule, while 1,322 individuals (42.2%) had a long work schedule. Multivariate analyses revealed that NNA working with long schedules reported higher psychological demands, more frequent burnout, a higher number of daily smoked cigarettes, and greater coffee consumption. These findings were independent of other factors such as sector of employment, type of healthcare facility, job status, work schedules, night shifts, department specialty, age, and family responsibilities.

Conclusions

While some NNA may choose long schedules to have more days off, those working with these schedules experience greater work-related burdens and engage in worse health risk behaviours as a coping mechanism. It emphasizes the importance of considering health-promoting work schedules to address the high psychological demands and burnout experienced by NNA with long schedules. Implementing changes in work schedules could potentially improve the overall well-being and job satisfaction of these healthcare professionals.
Begleitmaterial
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12912-023-01403-9.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Health-promoting work schedules have gained attention as a means to improve the physical and mental well-being [1] and enhance the retention of nurses and nurse assistants [2]. Numerous studies conducted during the Covid-19 crisis have highlighted the prevalence of sleep disorders among NNA, further emphasizing the importance of health-promoting schedules [3]. A recent systematic review has indicated the need for research on interventions aimed at managing fatigue in nurses [4].
Excessive working hours can lead to stress and sleep disorders, increasing the risk of chronic fatigue and illnesses, including infections [5]. It is now established that working more than 40 h per week and engaging in 12-hour shifts is associated with adverse patient outcomes [6]. In the intensive care units of two hospitals, over half of the nurses working 12-hour shifts reported experiencing low to moderate levels of chronic fatigue [7]. European registered nurses working shifts of 12 h or longer and those working overtime have reported lower quality and safety levels and a higher incidence of unfinished tasks [8]. As a result, some researchers have suggested reconsidering the use of 12-hour work schedules [9].
However, an older study published in 2006, comparing 8-hour and 12-hour schedules in thirteen New York City hospitals, found that nurses working 12-hour shifts reported higher job satisfaction without a decrease in the quality of care provided [10]. Long work schedules, such as 12-hour shifts, may also lead to reduced commuting time, potentially resulting in lower fatigue levels. A recent study conducted with a small sample of 48 nurses suggested that individual preferences for 12-hour shifts are influenced by factors such as personal health, family situation, tolerance for workload, sleep issues, personality, and other variables [11]. The authors concluded that, to attract and retain nurses, individuals should be given the freedom to choose 12-hour shifts.
In summary, it is evident that 12-hour work schedules are associated with various negative outcomes. However, it is crucial to note that no specific studies have been conducted in France to explore this relationship. Moreover, previous studies may not have adequately considered certain confounding factors, such as the presence of a partner and children at home, which could potentially impact the risk of emotional exhaustion and sleep deprivation, among other factors. A study conducted in South Africa with 71 nurses identified household factors as important contributors to emotional exhaustion [12]. In Korea, a work-family-school role conflicts model explaining burnout was validated with 286 nurses [13]. In France, the healthcare system is divided into medical and medico-social sectors, and into public and private sectors, each potentially introducing confounding factors regarding the associations between work schedules and adverse outcomes.
The objective of this study was to identify work schedules associated with self-reported improved working conditions and health risk behaviours among NNA.

Population and methods

Study population and study design

The method followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement guidelines[14].

Design

The AMADEUS (« AMéliorer l’ADaptation à l’Emploi pour limiter la soUffrance des Soignants »/ « improve employment adaptation to limit caregiver stress ») study is a cross-sectional survey carried out in French public and private healthcare facilities at a national level in France between May 2, 2021 and June 30, 2021. This survey was supported by professional healthcare worker associations and the directions of the healthcare settings in which the survey was disseminated. The detailed protocol has been published [15]. Recruitment and sampling method, inclusion and exclusion criteria are presented in Supplementary Annex 1.

Collected data

Sample characteristics

The following job characteristics were recorded as binary variables: Nurse (vs. Nurse assistant), Public sector (vs. private), Hospital (vs. medico-social facility), Full-time job, Constant schedules, Planned schedules (defined by the actual working schedule differing from the roster over the past two weeks), Night shift job. The reported departments included Surgery, Medical specialty, Psychiatry, and Critical care.
The following individual characteristics were recorded: Sex (male/female), Age (years), Partnership status, and Having children at home (all binary except age, which is continuous). It is worth noting that having children at home has been identified as a significant predictor of work-related stress and burnout among midwives [16].

Work environment

The work environment was assessed using the Job Content Questionnaire (JCQ) [17]. The JCQ examined three axes, measured by 26 items, which were treated as continuous variables. Axis 1 represented high psychological demand, encompassing speed and quantity (3 items), complexity and intensity (3 items), and fragmentation and unpredictability (3 items). Axis 2 represented low decisional latitude, including decision-making latitude (3 items), use of skills (3 items), and skill development (3 items). Axis 3 represented low social support, encompassing professional support by superiors (2 items), professional support by colleagues (2 items), emotional support by superiors (2 items), and emotional support by colleagues (2 items). All factor dimensions exhibited satisfactory Cronbach’s alpha coefficients ≥ 0.7 [18].
In a study conducted with Swedish workers using the Swedish version of the JCQ, Cronbach’s alpha scores of 0.71 were reported for psychological demand, 0.82 for decisional latitude, and 0.79 for social support [19]. Similarly, a study involving Japanese workers using a translated version of the JCQ reported Cronbach’s alpha scores of 0.76 for psychological demand, 0.81 for decisional latitude, and 0.85 for social support [20]. Convergent validity tests confirmed the expected associations with key variables such as age, work status, sector of activity, occupation, job satisfaction, perception of job stress, and intent to change jobs [18].

Burnout

The dimensions of burnout syndrome were assessed as binary variables using the French version of the 22-item Maslach Burnout Inventory (MBI) scale, following the recommendations of the validation study [21]. The 22-item scale has demonstrated satisfactory psychometric properties [22]. The stability coefficients were reported as 0.82 at 2–4 weeks and 0.80 at one year, indicating good reliability [22].

Health risky behaviours

Number of daily smoked cigarettes and coffee consumption (cups/day) were reported as continuous variables.

Statistical analysis

All variables were presented using frequency distributions for categorical variables and mean (standard deviation) for continuous variables. Comparisons between nurses and nurse assistants working in 7-hour schedules versus long schedules were conducted using the chi-square test for categorical variables. Parametric continuous variables were analysed using Student’s t-tests, while non-parametric continuous variables were analysed using Mann-Whitney tests, depending on the distribution of the data. Associations with a p-value < 0.05 were considered statistically significant and included as adjustment factors in the multivariate models.
In the multivariate analyses, logistic regression models were used for binary variables (burnout), and linear regression was employed for continuous variables (psychological demand/Axis 1, number of daily smoked cigarettes, and coffee consumption). Each model was adjusted for variables that exhibited significant differences between the 7-hour work schedule and the 12-hour work schedule in the univariate analyses (p-value < 0.05). Data analysis was performed using SPSS 20.0 software.

Results

The sample characteristics are presented in Table 1. Overall, 3133 nurses and nurse assistants were recruited: 2369(75.6%) nurses and 764(24.4%) nurse assistants, of those 1811(57.8%) (1366 nurses and 445 nurse assistants) had a 7-hour schedule and 1322(42.2%) (1003 nurses and 319 nurse assistants) had a long schedule. The following variables were significantly different (p < 0.05) between nurses and nurse assistants working with 7-hour schedule vs. long schedule: working in public sector (vs. private); working in hospital (vs. medico-social facility), having a full-time job, having constant schedules, planned schedules, a night shift job, working in medical specialty department, psychiatry department, critical care department and individual characteristics (age, being partnered, having children at home).
Table 1
Sample characteristics
 
Whole sample
(N = 3133)
7-hour schedule (N = 1811)
Long work schedule (N = 1322)
  
 
N or mean
% or SD
N or mean
% or SD
N or mean
% or SD
P value
 
Job characteristics
       
Nurse(N,%)
2369
0.756
1366
0.754
1003
0.759
0.776
 
Nurse assistant(N.%)
764
0.244
445
0.246
319
0.241
  
Public sector (vs. private) (N,%)
2754
0.879
1573
0.869
1181
0.893
0.036
 
Hospital (vs. medico-social facility) (N,%)
2948
0.941
1681
0.928
1267
0.958
< 0.001
 
Full-time job(N,%)
2589
0.826
1472
0.813
1117
0.845
0.019
 
Constant schedules(N,%)
1504
0.480
680
0.375
824
0.623
< 0.001
 
Planned schedules(N,%)
2874
0.917
1636
0.903
1238
0.936
0.001
 
Night shift job(N,%)
494
0.158
15
0.080
479
0.362
< 0.001
 
Departments
        
Surgery(N,%)
511
0.163
290
0.160
221
0.167
0.598
 
Medical specialty(N,%)
1714
0.547
916
0.506
798
0.604
< 0.001
 
Psychiatry(N,%)
513
0.164
411
0.227
102
0.077
< 0.001
 
Critical care(N,%)
406
0.130
109
0.060
297
0.225
< 0.001
 
Individual characteristics
        
Sex (man) (N,%)
453
0.145
261
0.144
192
0.145
0.930
 
Age (years) (mean(SD)
40.88
10.15
41.52
10.02
39.24
10.28
< 0.001
 
Partnered(N,%)
2292
0.732
1350
0.745
942
0.713
0.040
 
Children at home(N,%)
1952
0.623
1167
0.644
785
0.594
0.004
 
Significant associations are in bold (p < 0.05). SD standard deviation
The Cronbach alpha coefficients of the Job content questionnaire were respectively 0.791 for psychological demand (Axis 1), 0.583 for decisional latitude (Axis 2) and 0.725 for social support (Axis 3). The univariate analyses of the associations between job outcomes and work schedules are presented in Table 2 and multivariate analyses in Table 3. One model was carried out for each work outcome variables that was significantly different between groups in univariate analyses (psychological demand /Axis 1, burnout, number of daily smoked cigarettes, coffee consumption). After adjustment, nurses and nurse assistants working with long schedules reported significantly higher psychological demand (Axis 1) (Beta (B) = 1.108 95% confidence interval (CI)[0.693 ;1.522], p < 0.001), burnout (adjusted odds ratio (aOR) = 1.221, 95%CI[1.024;1.456], p = 0.026), number of daily smoked cigarettes (B = 0.760, 95%CI[0.291;1.229], p = 0.001) and coffee consumption (B = 0.255, 95%CI[0.030;0.479], p = 0.026).
Table 2
Associations between healthcare workers working with long work schedules vs. 7-hour schedules and work environment (univariate analyses)
 
7-hour schedule (N = 1811)
Long work schedule (N = 1322)
 
 
N or mean
% or SD
N or mean
% or SD
p
Psychological demand (Axis 1, mean/SD)
25.76
5.02
26.40
4.91
< 0.001
Decisional latitude (Axis 2, mean/SD)
70.25
10.89
69.97
9.95
0.256
Social support (Axis 3, mean/SD)
23.22
4.52
22.98
4.45
0.106
Burnout(N,%)
976
0.539
760
0.575
0.046
Number of daily smoked cigarettes
2.42
5.21
2.99
5.84
0.005
Coffee consumption
2.53
2.50
2.66
2.81
0.077
Significant associations are in bold (p < 0.05). SD standard deviation
Table 3
Associations between healthcare workers working with long work schedules vs. 7-hour schedules and work environment, burnout and health risky behaviours (dependent variables): multivariate analyses*
 
aOR or B
95%CI
P
Axis 1 psychological demand (B)
1.108
0.693 ;1.522
< 0.001
Burnout (aOR)
1.221
1.024;1.456
0.026
Number of daily smoked cigarettes (B)
0.760
0.291;1.229
0.001
Coffee consumption (B)
0.255
0.030;0.479
0.026
* One model was carried out for each variable. All models were adjusted for the following independent variables: profession, department and individual characteristics that were significantly different between groups in univariate analyses (i.e. Public sector (vs. private), Hospital (vs. medico-social facility), Full-time job, Constant schedules, Planned schedules, Night shift job, Medical specialty, Psychiatry, Critical care, Age, Partnered, Children at home)
aOR adjusted odds ratio. 95%CI : 95% confidence interval; B: non-standardized Beta, SE: standard error
All models were adjusted for job, department and individual characteristics that were significantly different between groups in univariate analyses (i.e.: Public sector (vs. private), Hospital (vs. medico-social facility), Full-time job, Constant schedules, Planned schedules, Night shift job, Medical specialty, Psychiatry, Critical care, Age, Partnered, Children at home).

Discussion

Consistently with most of the previous studies, French nurses and nurse assistants working long schedules reported higher psychological demand, higher rates of burnout, and worse health risky behaviours compared to those working a 7-hour schedule.
Nursing is a profession known for its high demands, intense workload, and challenging work environment. Nurses and nurse assistants often work long and irregular schedules, which can negatively impact their mental and physical health. Numerous studies have shown that long work hours and shift work can increase the risk of various health problems, including burnout, psychological distress, and sleep disorders.
For example, in Nigeria, seven focus groups consisting of 66 nurses reported that long work hours and burnout were factors leading to job cessation [23]. Similarly, a survey of 2428 nurses from 32 hospitals in Malaysia found that one in four nurses reported burnout, and shift working, double-shifts, and night shifts were associated with burnout [24]. A study conducted in Taiwanese nurses yielded similar results, indicating that long working hours and night shifts were associated with increased psychological distress [25]. In the United States, a study involving 2488 nurses reported low-to-moderate intershift recovery associated with increased burnout, and the length of shifts was associated with well-being indices [26]. Another US survey with 318 nurses found that hours worked was one of the factors associated with emotional exhaustion [27]. In China, nurses working long hours experienced more severe secondary traumatic stress [28]. A recent review of literature on emergency department nursing burnout also reported an association between work schedules and increased burnout [28]. In a survey of 2744 healthcare workers in Singapore, working long hours was associated with higher odds of burnout and stress, while teamwork and feeling appreciated at work were associated with lower odds of stress, anxiety, and job burnout [29]. These results were confirmed in a longitudinal study of 247 nurses in the Netherlands, where work schedule predicted emotional exhaustion at one year [30]. A Cochrane systematic review found low evidence suggesting that changing work schedules may lead to a reduction of stress [31]. These observational data provide important findings to guide health policies and prevention.
In our study, we found that nurse assistants working long schedules reported higher smoking and coffee consumption. A meta-analysis including 243 published records [32] revealed that long working hours were associated with high psychological stress, work stress, and increased smoking (coffee consumption was not explored). Smoking and coffee consumption may be considered coping strategies for nurse assistants to deal with burnout and high psychological demand. It is possible that nurse assistants working long schedules have more breaks during their shift, which may lead them to consume more coffee and cigarettes (for smokers) to increase alertness, concentration, and reduce stress. Prevention programs could provide information about the long-term risks of such behaviours, particularly regarding mental health, which is less well-known compared to the risks for cardiovascular diseases and cancer [33]. Promoting breaks that provide full opportunities for rest, such as napping at work and mindfulness, is a promising strategy to help nurse assistants manage work-related stress without relying on coffee and tobacco consumption [34]. Based on our results, prioritizing interventions to improve these health risky behaviours should focus on nurse assistants working long schedules (12 h) [35, 36].
Limitations and perspectives: There are two important missing pieces of data in the AMADEUS study: whether nurse assistants have the ability to choose their schedule and their chronotype pattern [37]. Our results have shown that long work schedules are more prevalent in medical specialties and critical care, while 7-hour schedules are more common in psychiatry. Nurse assistants may have to choose between the schedule and the department in which they work, especially if they have the option, which is not always the case, particularly for neoprofessionals. Nurse assistants with an evening chronotype pattern may report better job satisfaction with evening shifts [37]. Qualitative research could also explore the expectations of nurse assistants and managers. Job satisfaction was not reported in the present study. The Cronbach alpha coefficient for decisional latitude was < 0.7, which limits its interpretation as a measure of the construct in this study. As salaries for nurses in France are fixed, they were not included in the survey. Quick return (defined as less than 11 h of rest time between two shifts) [1] was not reported in the present study since 11 h is the minimum rest time mandated for all nurse assistants according to French law and the EU’s Working Time Directive (2003/88/EC) [38]. The limitations of this study are similar to those affecting other online surveys. Disseminating the study to nurses and nurse assistants was less effective due to the lack of access to professional mailing lists in some facilities. However, the survey was disseminated through social networks. To mitigate selection bias, the study’s title did not explicitly mention work schedules or burnout but instead focused on work adaptation. In France, we have no direct access to professional listings and/or mailing lists, which limits the implementation of surveys. Therefore, there is a need for nationally representative cohorts to monitor the work environment and health status of nurse assistants.

Conclusion

Long work schedules are associated with worse outcomes including higher psychological demand, higher burnout and higher health risky behaviours to cope with fatigue and stress.

Acknowledgements

We thank the following institutions/facilities for their participation in the dissemination of the study : regional health agencies: Provence Alpes Côte d’Azur, Brittany, Ile de France, GHT : Alps, Dauphiné, Rhône center, South Drôme, Ardèche, Western Brittany, South Brittany, Upper Brittany, South Corsica, South Val d’Oise, North Hauts-de-Seine, Ile de France, South Vaucluse, Var, Alpes-de-Haute-Provence, Bouches-du-Rhône, Alpes Maritimes, Southern Alps, Academic hospitals: Assistance publique Hôpitaux de Marseille, Assistance publique Hôpitaux de Paris, Hospices civils de Lyon, CHU d ‘Amiens, CHU d ‘Angers, CHU de Besancon, CHU de Bres,t CHRU de Caen, CHU de Clermont-Ferrand, CHU de Dijon, CHU de Grenoble, CHU of Lille, CHU of Limoges, CHU of Martinique, CHU of Montpellier, CHRU of Nancy, CHU of Nantes, CHU of Pointe-à-Pitre/Les Abymes, CHU of Reims, CHU of Rennes, CHU of La Reunion, CHU of Rouen, CHU of Saint-Étienne, CHU of Toulouse, CHRU of Tours, Private hospitals: Angers: Institut de cancérologie de l’Ouest Bordeaux: Institut Bergonié Caen: Centre François Baclesse Clermont-Ferrand: Centre Jean Perrin Dijon: Centre George-François Leclerc Lille: Centre Oscar Lambret Lyon: Centre Léon Bérard Marseille: Institut Paoli-Calmettes Nice: Centre Antoine Lacassagne, Associations : French National Association of Occupational Therapists, National Association of Graduate Nurses and Students, French association of dieticians nutritionists, French association of care managers, Professional association of midwives, Committee of agreement of the nursing training and executives, National College of Physiotherapy Fédération hospitalière de France, Fédération nationale des associations d’aides-soignants, Syndicat national des infirmiers anesthésistes, Syndicat national des infirmiers de bloc opératoire.
The following institutions/facilities actively participated in the dissemination of the study:
- (Regional health agencies) Provence Alpes Côte d’Azur, Brittany, Ile de France;
- (Territory hospital groups including academic and non-academic public hospitals) Alps, Dauphiné, Rhône center, South Drôme, Ardèche, Western Brittany, South Brittany, Upper Brittany, South Corsica, South Val d’Oise, North Hauts-de-Seine, Ile de France, South Vaucluse, Var, Alpes-de-Haute-Provence, Bouches-du-Rhône, Alpes Maritimes, Southern Alps;
- (Academic hospitals): Assistance publique Hôpitaux de Marseille, Assistance publique Hôpitaux de Paris, Hospices civils de Lyon, CHU d ‘Amiens, CHU d ‘Angers, CHU de Besancon, CHU de Brest, CHRU de Caen, CHU de Clermont-Ferrand, CHU de Dijon, CHU de Grenoble, CHU of Lille, CHU of Limoges, CHU of Martinique, CHU of Montpellier, CHRU of Nancy, CHU of Nantes, CHU of Pointe-à-Pitre/Les Abymes, CHU of Reims, CHU of Rennes, CHU of La Reunion, CHU of Rouen, CHU of Saint-Étienne, CHU of Toulouse, CHRU of Tours;
- (Private hospitals) Institut de cancérologie de l’Ouest, Institut Bergonié, Centre François Baclesse, Centre Jean Perrin, Centre George-François Leclerc; Centre Oscar Lambret; Centre Léon Bérard; Institut Paoli-Calmettes; Centre Antoine Lacassagne, Centre d’Oncologie et de Radio Thérapie 37 (CORT37).
- (Associations) Conseils départementaux de l’Ordre des médecins (Charente-Maritime, Cote-d’Or, Cote d’Armor, Gironde, Deux-Sèvres, Essonnes, Guadeloupe, Guyana, Haute-Saône, Hérault and Loiret) ; French National Association of Occupational Therapists, National Association of Graduate Nurses and Students, French association of dieticians nutritionists, French association of care managers, Professional association of midwives, Committee of agreement of the nursing training and executives, National College of Physiotherapy; Fédération hospitalière de France, Fédération nationale des associations d’aides-soignants, Syndicat national des infirmiers anesthésistes, Syndicat national des infirmiers de bloc opératoire.

Declarations

The study was conducted in accordance with the ethical principles for medical research involving human participants, as outlined in the WMA Declaration of Helsinki, and adhered to the French Jardé law. Ethical considerations were taken into account, and all experimental protocols were approved by the National Ethical Committee (IRB n°C08 / 21.01.06.93911, CNIL). Data collection was anonymous, and written informed consent was not required due to the voluntary and anonymous nature of the study. Participants were informed that their consent to participate was implied by clicking on the first page of the questionnaire. They were also informed that they had the option to withdraw from the survey and have their participation removed at any time.
Not applicable.

Competing interests

no competing interest.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Anhänge

Electronic supplementary material

Below is the link to the electronic supplementary material.
Literatur
1.
Zurück zum Zitat Vedaa Ø, Djupedal ILR, Svensen E, Waage S, Bjorvatn B, Pallesen S, et al. Health-promoting work schedules: protocol for a large-scale cluster randomised controlled trial on the effects of a work schedule without quick returns on sickness absence among healthcare workers. BMJ Open. 2022;12:e058309.CrossRefPubMedPubMedCentral Vedaa Ø, Djupedal ILR, Svensen E, Waage S, Bjorvatn B, Pallesen S, et al. Health-promoting work schedules: protocol for a large-scale cluster randomised controlled trial on the effects of a work schedule without quick returns on sickness absence among healthcare workers. BMJ Open. 2022;12:e058309.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Choi T, Jameson H, Brekke ML, Anderson JG, Podratz RO. Schedule-related effects on nurse retention. West J Nurs Res. 1989;11:92–107.CrossRefPubMed Choi T, Jameson H, Brekke ML, Anderson JG, Podratz RO. Schedule-related effects on nurse retention. West J Nurs Res. 1989;11:92–107.CrossRefPubMed
3.
Zurück zum Zitat Power N, Perreault M, Ferrari M, Boudreau P, Boivin DB. Sleep of Healthcare Workers during the COVID-19 pandemic and the role of atypical work schedules: a scoping review. J Biol Rhythms. 2022;37:358–84.CrossRefPubMed Power N, Perreault M, Ferrari M, Boudreau P, Boivin DB. Sleep of Healthcare Workers during the COVID-19 pandemic and the role of atypical work schedules: a scoping review. J Biol Rhythms. 2022;37:358–84.CrossRefPubMed
4.
Zurück zum Zitat Querstret D, O’Brien K, Skene DJ, Maben J. Improving fatigue risk management in healthcare: a scoping review of sleep-related/ fatigue-management interventions for nurses and midwives (reprint). Int J Nurs Stud. 2020;112:103745.CrossRefPubMed Querstret D, O’Brien K, Skene DJ, Maben J. Improving fatigue risk management in healthcare: a scoping review of sleep-related/ fatigue-management interventions for nurses and midwives (reprint). Int J Nurs Stud. 2020;112:103745.CrossRefPubMed
5.
Zurück zum Zitat Belingheri M, Paladino ME, Riva MA. Working schedule, Sleep Quality, and susceptibility to Coronavirus Disease 2019 in Healthcare Workers. Clin Infect Dis Off Publ Infect Dis Soc Am. 2021;72:1676.CrossRef Belingheri M, Paladino ME, Riva MA. Working schedule, Sleep Quality, and susceptibility to Coronavirus Disease 2019 in Healthcare Workers. Clin Infect Dis Off Publ Infect Dis Soc Am. 2021;72:1676.CrossRef
6.
Zurück zum Zitat Bae S-H. Relationships between comprehensive characteristics of nurse work schedules and adverse patient outcomes: a systematic literature review. J Clin Nurs. 2021;30:2202–21.CrossRefPubMed Bae S-H. Relationships between comprehensive characteristics of nurse work schedules and adverse patient outcomes: a systematic literature review. J Clin Nurs. 2021;30:2202–21.CrossRefPubMed
7.
Zurück zum Zitat Yu F, Somerville D, King A. Exploring the impact of 12-hour shifts on nurse fatigue in intensive care units. Appl Nurs Res ANR. 2019;50:151191.CrossRefPubMed Yu F, Somerville D, King A. Exploring the impact of 12-hour shifts on nurse fatigue in intensive care units. Appl Nurs Res ANR. 2019;50:151191.CrossRefPubMed
8.
Zurück zum Zitat Griffiths P, Dall’Ora C, Simon M, Ball J, Lindqvist R, Rafferty A-M, et al. Nurses’ shift length and overtime working in 12 european countries: the association with perceived quality of care and patient safety. Med Care. 2014;52:975–81.CrossRefPubMedPubMedCentral Griffiths P, Dall’Ora C, Simon M, Ball J, Lindqvist R, Rafferty A-M, et al. Nurses’ shift length and overtime working in 12 european countries: the association with perceived quality of care and patient safety. Med Care. 2014;52:975–81.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Geiger-Brown J, Trinkoff AM. Is it time to pull the plug on 12-hour shifts?: part 1. The evidence. J Nurs Adm. 2010;40:100–2.CrossRefPubMed Geiger-Brown J, Trinkoff AM. Is it time to pull the plug on 12-hour shifts?: part 1. The evidence. J Nurs Adm. 2010;40:100–2.CrossRefPubMed
10.
Zurück zum Zitat Stone PW, Du Y, Cowell R, Amsterdam N, Helfrich TA, Linn RW, et al. Comparison of nurse, system and quality patient care outcomes in 8-hour and 12-hour shifts. Med Care. 2006;44:1099–106.CrossRefPubMed Stone PW, Du Y, Cowell R, Amsterdam N, Helfrich TA, Linn RW, et al. Comparison of nurse, system and quality patient care outcomes in 8-hour and 12-hour shifts. Med Care. 2006;44:1099–106.CrossRefPubMed
11.
Zurück zum Zitat Ose SO, Tjønnås MS, Kaspersen SL, Færevik H. One-year trial of 12-hour shifts in a non-intensive care unit and an intensive care unit in a public hospital: a qualitative study of 24 nurses’ experiences. BMJ Open. 2019;9:e024292.CrossRefPubMedPubMedCentral Ose SO, Tjønnås MS, Kaspersen SL, Færevik H. One-year trial of 12-hour shifts in a non-intensive care unit and an intensive care unit in a public hospital: a qualitative study of 24 nurses’ experiences. BMJ Open. 2019;9:e024292.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Cohen J, Venter WDF. The integration of occupational- and household-based chronic stress among south african women employed as public hospital nurses. PLoS ONE. 2020;15:e0231693.CrossRefPubMedPubMedCentral Cohen J, Venter WDF. The integration of occupational- and household-based chronic stress among south african women employed as public hospital nurses. PLoS ONE. 2020;15:e0231693.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Goong H, Xu L, Li C-Y. Effects of work-family-school role conflicts and role-related social support on burnout in registered nurses: a structural equation modelling approach. J Adv Nurs. 2016;72:2762–72.CrossRefPubMed Goong H, Xu L, Li C-Y. Effects of work-family-school role conflicts and role-related social support on burnout in registered nurses: a structural equation modelling approach. J Adv Nurs. 2016;72:2762–72.CrossRefPubMed
14.
Zurück zum Zitat Field N, Cohen T, Struelens MJ, Palm D, Cookson B, Glynn JR, et al. Strengthening the reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement. Lancet Infect Dis. 2014;14:341–52.CrossRefPubMed Field N, Cohen T, Struelens MJ, Palm D, Cookson B, Glynn JR, et al. Strengthening the reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement. Lancet Infect Dis. 2014;14:341–52.CrossRefPubMed
15.
Zurück zum Zitat Lucas G, Colson S, Boyer L, Inthavong K, Haller PH, Lancon C et al. Risk factors for burnout and depression in healthcare workers: the national AMADEUS study protocol. L’Encephale. 2021;S0013-7006(21)00159-7. Lucas G, Colson S, Boyer L, Inthavong K, Haller PH, Lancon C et al. Risk factors for burnout and depression in healthcare workers: the national AMADEUS study protocol. L’Encephale. 2021;S0013-7006(21)00159-7.
16.
Zurück zum Zitat Mollart L, Skinner VM, Newing C, Foureur M. Factors that may influence midwives work-related stress and burnout. Women Birth J Aust Coll Midwives. 2013;26:26–32.CrossRef Mollart L, Skinner VM, Newing C, Foureur M. Factors that may influence midwives work-related stress and burnout. Women Birth J Aust Coll Midwives. 2013;26:26–32.CrossRef
17.
Zurück zum Zitat Niedhammer I. Psychometric properties of the french version of the Karasek Job Content Questionnaire: a study of the scales of decision latitude, psychological demands, social support, and physical demands in the GAZEL cohort. Int Arch Occup Environ Health. 2002;75:129–44.CrossRefPubMed Niedhammer I. Psychometric properties of the french version of the Karasek Job Content Questionnaire: a study of the scales of decision latitude, psychological demands, social support, and physical demands in the GAZEL cohort. Int Arch Occup Environ Health. 2002;75:129–44.CrossRefPubMed
18.
Zurück zum Zitat Niedhammer I, Chastang JF, Gendrey L, David S, Degioanni S. [Psychometric properties of the french version of Karasek’s “Job Content Questionnaire” and its scales measuring psychological pressures, decisional latitude and social support: the results of the SUMER]. Sante Publique Vandoeuvre–Nancy Fr. 2006;18:413–27.CrossRef Niedhammer I, Chastang JF, Gendrey L, David S, Degioanni S. [Psychometric properties of the french version of Karasek’s “Job Content Questionnaire” and its scales measuring psychological pressures, decisional latitude and social support: the results of the SUMER]. Sante Publique Vandoeuvre–Nancy Fr. 2006;18:413–27.CrossRef
19.
Zurück zum Zitat Theorell T, Perski A, Akerstedt T, Sigala F, Ahlberg-Hultén G, Svensson J, et al. Changes in job strain in relation to changes in physiological state. A longitudinal study. Scand J Work Environ Health. 1988;14:189–96.CrossRefPubMed Theorell T, Perski A, Akerstedt T, Sigala F, Ahlberg-Hultén G, Svensson J, et al. Changes in job strain in relation to changes in physiological state. A longitudinal study. Scand J Work Environ Health. 1988;14:189–96.CrossRefPubMed
20.
Zurück zum Zitat Kawakami N, Kobayashi F, Araki S, Haratani T, Furui H. Assessment of job stress dimensions based on the job demands- control model of employees of telecommunication and electric power companies in Japan: reliability and validity of the japanese version of the Job Content Questionnaire. Int J Behav Med. 1995;2:358–75.CrossRefPubMed Kawakami N, Kobayashi F, Araki S, Haratani T, Furui H. Assessment of job stress dimensions based on the job demands- control model of employees of telecommunication and electric power companies in Japan: reliability and validity of the japanese version of the Job Content Questionnaire. Int J Behav Med. 1995;2:358–75.CrossRefPubMed
21.
22.
Zurück zum Zitat Langevin. Maslach Burnout Inventory (MBI) - Article de revue - INRS. 2012. Langevin. Maslach Burnout Inventory (MBI) - Article de revue - INRS. 2012.
23.
Zurück zum Zitat Ogbuabor D, Ghasi N, Eneh R. Nurses’ perceptions of quality of work life in private hospitals in Enugu, Nigeria: a qualitative study. AIMS Public Health. 2022;9:718–33.CrossRefPubMedPubMedCentral Ogbuabor D, Ghasi N, Eneh R. Nurses’ perceptions of quality of work life in private hospitals in Enugu, Nigeria: a qualitative study. AIMS Public Health. 2022;9:718–33.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Zakaria N, Zakaria NH, Bin Abdul Rassip MNA, Lee KY. Burnout and coping strategies among nurses in Malaysia: a national-level cross-sectional study. BMJ Open. 2022;12:e064687.CrossRefPubMedPubMedCentral Zakaria N, Zakaria NH, Bin Abdul Rassip MNA, Lee KY. Burnout and coping strategies among nurses in Malaysia: a national-level cross-sectional study. BMJ Open. 2022;12:e064687.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Chou L-P, Tsai C-C, Li C-Y, Hu SC. Prevalence of cardiovascular health and its relationship with job strain: a cross-sectional study in taiwanese medical employees. BMJ Open. 2016;6:e010467.CrossRefPubMedPubMedCentral Chou L-P, Tsai C-C, Li C-Y, Hu SC. Prevalence of cardiovascular health and its relationship with job strain: a cross-sectional study in taiwanese medical employees. BMJ Open. 2016;6:e010467.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Crabtree-Nelson S, DeYoung PM, Vincent NJ, Myers TP, Czerwinskyj J. Compassion fatigue, compassion satisfaction, and burnout: a study of nurses in a large Texas health-care system. J Nurs Scholarsh Off Publ Sigma Theta Tau Int Honor Soc Nurs. 2022;54:720–7. Crabtree-Nelson S, DeYoung PM, Vincent NJ, Myers TP, Czerwinskyj J. Compassion fatigue, compassion satisfaction, and burnout: a study of nurses in a large Texas health-care system. J Nurs Scholarsh Off Publ Sigma Theta Tau Int Honor Soc Nurs. 2022;54:720–7.
28.
Zurück zum Zitat Niu A, Li P, Duan P, Ding L, Xu S, Yang Y, et al. Professional quality of life in nurses on the frontline against COVID-19. J Nurs Manag. 2022;30:1115–24.CrossRefPubMedPubMedCentral Niu A, Li P, Duan P, Ding L, Xu S, Yang Y, et al. Professional quality of life in nurses on the frontline against COVID-19. J Nurs Manag. 2022;30:1115–24.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Teo I, Chay J, Cheung YB, Sung SC, Tewani KG, Yeo LF, et al. Healthcare worker stress, anxiety and burnout during the COVID-19 pandemic in Singapore: a 6-month multi-centre prospective study. PLoS ONE. 2021;16:e0258866.CrossRefPubMedPubMedCentral Teo I, Chay J, Cheung YB, Sung SC, Tewani KG, Yeo LF, et al. Healthcare worker stress, anxiety and burnout during the COVID-19 pandemic in Singapore: a 6-month multi-centre prospective study. PLoS ONE. 2021;16:e0258866.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Peters V, Houkes I, de Rijk AE, Bohle PL, Engels JA, Nijhuis FJN. Which resources moderate the effects of demanding work schedules on nurses working in residential elder care? A longitudinal study. Int J Nurs Stud. 2016;58:31–46.CrossRefPubMed Peters V, Houkes I, de Rijk AE, Bohle PL, Engels JA, Nijhuis FJN. Which resources moderate the effects of demanding work schedules on nurses working in residential elder care? A longitudinal study. Int J Nurs Stud. 2016;58:31–46.CrossRefPubMed
31.
Zurück zum Zitat Ruotsalainen JH, Verbeek JH, Mariné A, Serra C. Preventing occupational stress in healthcare workers. Cochrane Database Syst Rev. 2015;2015:CD002892.PubMedPubMedCentral Ruotsalainen JH, Verbeek JH, Mariné A, Serra C. Preventing occupational stress in healthcare workers. Cochrane Database Syst Rev. 2015;2015:CD002892.PubMedPubMedCentral
32.
Zurück zum Zitat Wong K, Chan AHS, Ngan SC. The effect of long working hours and overtime on Occupational Health: a Meta-analysis of evidence from 1998 to 2018. Int J Environ Res Public Health. 2019;16:2102.CrossRefPubMedPubMedCentral Wong K, Chan AHS, Ngan SC. The effect of long working hours and overtime on Occupational Health: a Meta-analysis of evidence from 1998 to 2018. Int J Environ Res Public Health. 2019;16:2102.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Catoire S, Nourredine M, Lefebvre S, Couraud S, Gronfier C, Rey R, et al. Tobacco-induced sleep disturbances: a systematic review and meta-analysis. Sleep Med Rev. 2021;60:101544.CrossRefPubMed Catoire S, Nourredine M, Lefebvre S, Couraud S, Gronfier C, Rey R, et al. Tobacco-induced sleep disturbances: a systematic review and meta-analysis. Sleep Med Rev. 2021;60:101544.CrossRefPubMed
35.
Zurück zum Zitat Fond G, Trouve M, Andrieu-Haller C, Sunhary de Verville P-L, Boyer L. Barriers in psychiatrists’ mind to active smoking cessation promotion in severe psychiatric disorders. L’Encephale. 2021;:S0013-7006(21)00234-7. Fond G, Trouve M, Andrieu-Haller C, Sunhary de Verville P-L, Boyer L. Barriers in psychiatrists’ mind to active smoking cessation promotion in severe psychiatric disorders. L’Encephale. 2021;:S0013-7006(21)00234-7.
36.
Zurück zum Zitat Huddlestone L, Shoesmith E, Pervin J, Lorencatto F, Watson J, Ratschen E. A systematic review of Mental Health Professionals, Patients, and Carers’ perceived barriers and enablers to supporting Smoking Cessation in Mental Health Settings. Nicotine Tob Res Off J Soc Res Nicotine Tob. 2022;24:945–54.CrossRef Huddlestone L, Shoesmith E, Pervin J, Lorencatto F, Watson J, Ratschen E. A systematic review of Mental Health Professionals, Patients, and Carers’ perceived barriers and enablers to supporting Smoking Cessation in Mental Health Settings. Nicotine Tob Res Off J Soc Res Nicotine Tob. 2022;24:945–54.CrossRef
37.
Zurück zum Zitat Amini F, Moosavi SM, Rafaiee R, Nadi Ghara A, Babakhanian M. Chronotype patterns associated with job satisfaction of shift working healthcare providers. Chronobiol Int. 2021;38:526–33.CrossRefPubMed Amini F, Moosavi SM, Rafaiee R, Nadi Ghara A, Babakhanian M. Chronotype patterns associated with job satisfaction of shift working healthcare providers. Chronobiol Int. 2021;38:526–33.CrossRefPubMed
38.
Zurück zum Zitat Directive. 2003/88/EC of the European Parliament and of the Council of 4 November 2003 concerning certain aspects of the organisation of working time. 2003. Directive. 2003/88/EC of the European Parliament and of the Council of 4 November 2003 concerning certain aspects of the organisation of working time. 2003.
Metadaten
Titel
Health-promoting work schedules among nurses and nurse assistants in France: results from nationwide AMADEUS survey
verfasst von
Guillaume Fond
Guillaume Lucas
Laurent Boyer
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2023
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-023-01403-9