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.
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
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 | |
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)
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 |
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*
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 |
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.
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.
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