Stress at Work and Infectious Risk in Patients and Caregivers
NCT ID: NCT03532321
Last Updated: 2018-05-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
750 participants
OBSERVATIONAL
2018-03-05
2020-03-01
Brief Summary
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This research aims to develop an interdisciplinary approach to link two phenomena that are often studied independently while they are closely intertwined: working conditions and infectious risk in hospitals departments. Their main objective is to study the relationship between stress and caregiver fatigue at the work, organizational determinants and infectious risk for patients (healthcare-associated infections: HAIs) and for caregivers (blood exposure accidents: BEAs). The secondary objective is to analyze how the individual characteristics of the staff, the characteristics of their employment, and the overall organization in the hospital departments where they work interact to explain their physical and psychological state of health, on the one hand, and their behavior face to work (absenteeism, turnover and hand hygiene) on the other hand. The ultimate goal of this research is to be able to propose organizational strategies aimed at both reducing the probability of occurrence of healthcare-associated infections and preventing occupational risks for caregivers.
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Detailed Description
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It will be conducted in 5 volunteer hospitals, with 7 to 8 hospital departments selected at random in each center and meeting eligibility inclusion criteria. The envisaged recruitment is approximately 20 staff per hospital department, enabling a total of about 150 staff to be included per center, totaling 750 surveyed caregivers.
The five voluntary centers will designate at least one local correspondent or referent among the hygiene team, the human resources (HR) department and the department of medical information system (DMI). The hygiene referent is the privileged correspondent. He will be part of the scientific committee and will help the investigators in the organization of the study within the hospital departments that will be drawn to participate. The HR and DMI referents are appointed to facilitate the collection of anonymous and aggregated data from the HR and PMSI databases planned for the study.
After obtaining regulatory authorizations, the eligible hospital departments of each hospital center will be drawn at random. Prior to the draw, hygiene referents of each hospital will prepare a list with all eligible hospital departments. Hospital departments will be selected using simple random sampling without replacement as follows in each list, the services will be numbered from 1 to n and 8 numbers between 1 and n will be chosen randomly using a computer. It will have a total of 5 lists (one list per hospital center) and 8 randomly selected numbers per list for a total of 40 randomly selected services. Similarly, visit days and survey start schedules will be drawn at random for the passage of an epidemiologist investigator recruited by the coordinating team. Two survey dates, between one Monday and one Friday of each week, and one survey start schedule, will be drawn at random for each work shift in every participating hospital department, during the entire inclusion period. Information meetings with the staff of the selected participating hospital departments and the communication by display will be organized by the investigators. A 15-day period will be left between the last information meeting held in the service and the closest date drawn for the start of the inclusion visits.
Based on a prospective data collection and using a qualitative-quantitative approach this study will provide some elements to better understand the complex relationship between the work organization, the stress and the caregiver fatigue, and infectious risk in the hospital departments (for patients and caregivers). This is an approach that relies on a conceptual model with several hypotheses to test. The conceptual diagram envisaged in our study has been based on the James Reason's model of accident causation. Indeed, it considers a multi-level interrelation of many factors ranging from organizational climate root causes to infectious risk. This equally includes contributory factors related to caregivers themselves, the care team, work environment as well as immediate causes related to care practices. Thus, for example, the infectious risk such as blood exposure accidents (for caregivers) or healthcare-associated infections (for patients) could be explained by several relationships between a wide range of factors: behavioral changes in care workers such as a decreased adherence with infection control measures as hand hygiene, stress and fatigue of caregivers, an excessive workload, a high nurse turnover or their absenteeism, the work schedules, as well as, by individual factors such as, the work experience, age, and the organizational climate as root causes.
In this research the following factors will be taken into account:
* at the organizational level: the type and size of hospital departments (in number of beds and in number of caregivers), the hourly organization of the staff, the number of caregivers by professional category for each shift in 24h;
* at the hospital department level: nurse absenteeism and turnover rates, safety culture, healthcare-associated infections rates, the rate of blood exposure accidents among caregivers, hand hygiene compliance rates;
* at the level of caregivers: age, sex, personal situation, number of young children, occupation, the position held, work experience, work schedules, stress and fatigue levels, blood exposure accidents, excessive work-related commitment, the social support from coworkers and from supervisors, current state of health, absences due to health reasons including absences due to accidents at work or for work-related illness, etc.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Caregivers
Caregivers in the participating hospital departments : medical (doctors, midwives) and paramedical (nurses' aides, registered nurses, specialized nurses and head nurses) staff, working in hospital departments drawn at random among five volunteer hospital centers in Paris, and who will be present at the time of investigator's passage, at a date drawn at random during the inclusion phase.
NA : non interventional study
NA : non interventional study
Interventions
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NA : non interventional study
NA : non interventional study
Eligibility Criteria
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Inclusion Criteria
\- acute-care departments among medicine (including geriatrics and pediatrics), surgery, gynecology, obstetrics, intensive care, having at least 30 caregivers (medical and paramedical staff) working for the department.
* departments having low care activity such as the long-term care, follow-up care, and rehabilitation, psychiatric departments
* hospitals departments for which a closure or restructuring is in progress or planned within 15 months of the start of the investigation.
\- statutory and contractual caregivers (nursing assistants, registered nurses, doctors or midwives) working at least at 0.5 full-time-equivalent who will be present at the time of inclusion visit, and having expressed their non-opposition to participate in the study.
* all interim (temporary) caregivers, medical students or interns or residents, as likely to change the hospital department during the investigation;
* caregivers (medical or paramedical) whose departure is planned within 15 months of the start of the survey (e.g. pregnant women, caregivers whose retirement is imminent, caregivers waiting for reassignment).
18 Years
ALL
Yes
Sponsors
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National Conservatory of Arts and Crafts (Cnam) of Paris
UNKNOWN
Assistance Publique - Hôpitaux de Paris
OTHER
Responsible Party
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Principal Investigators
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Pascal ASTAGNEAU, MD-PhD
Role: PRINCIPAL_INVESTIGATOR
CPias Ile-de-France (AP-HP)
Locations
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Assistance publique - Hôpitaux de Paris
Paris, , France
Countries
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Central Contacts
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Facility Contacts
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Pascal ASTAGNEAU, MD, PhD
Role: primary
Other Identifiers
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NI16020J
Identifier Type: -
Identifier Source: org_study_id
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