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[Influence of socio-professional factors on absenteeism of hospital personnel].

The goal of this work is to analyze the different reasons of absenteeism in hospital and to identify the socioprofessional characteristics of absentees, what would permit to guide a strategy on modes and content of a preventive action. The adopted methodology is a retrospective descriptive investigation carrying on absenteeism of the personnel working in academic hospital Farhat Hached of Sousse (Tunisia) during 1997. So, on the 1433 salaried employees, 1028 (71.7%), left once or more for different reasons. The global absenteeism rate is 4.03% and the mean absence by agent is equal to 14.7 days. Among the absences motives, illness predominate extensively with 55% of the whole. Maternity and postnatal leave constitute 30%, 8% for "Industrial accidents" of work stops. Whatever is the reason, we observes more absent women than absent men. This survey shows the importance of socioprofessional factors in genesis of absenteeism and, to reduce the problem, the necessity to improve conditions of work, moreover in his ergonomic, social and psychological aspects.

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Analysis of absenteeism in industry.

There are many nonmedical factors that contribute to employee absenteeism in industry. An employee's total life situation or total environment may be a causative factor in excessive "sick absenteeism." In many instances the cure for "abnormal" sickness absenteeism is within the province of supervisory personnel, who should look upon abuse of sick leave benefits among employees as morale problems and as evidence of possible maladjustment to the demands of the job or the industry. There are, however, many problems in mental and physical health affecting absence rates in which preventive psychiatry and medicine can make greater contributions. Even truancy and malingering may sometimes be conditions requiring professional medical care. The role of a private physician in determining and certifying the true state of a patient's health is a most important one economically to industry and the community. The total problem of absenteeism for sickness, as it exists in industry today, points up the need for the most effective cooperation and communication possible between industrial and private physicians. Since no more than 25 per cent of the total work force is employed in industries having in-plant medical programs, the burden of responsibility for the control of absenteeism for sickness rests mainly with private practitioners.

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Influenza vaccination: incidence of symptoms and resulting absenteeism in hospital employees.

A convenience sample of hospital workers, those receiving influenza vaccine and those not receiving vaccine, were asked to complete questionnaires delineating the occurrence of symptoms (e.g., fever, headache, extreme tiredness, dry cough, sore throat, runny nose, stuffy nose, muscle aches) and absenteeism in the 7-day period post-vaccination if vaccinated. Those unvaccinated completed the questionnaire in a self-selected 7 consecutive day period during the study conducted from November 2004 to February 2005. Those receiving either Fluzone or FluMist reported significantly fewer symptoms and related absenteeism than the unvaccinated group (p < .05). Administration of influenza vaccine did not result in higher rates of post-vaccination symptoms as compared to an unvaccinated group. Further, vaccinated employees did not experience higher absenteeism rates as a result of receiving either influenza vaccine. However, for those reporting absenteeism as a result of symptoms, mean absenteeism days were highest in the FluMist group (4.5 days) compared to the unvaccinated group (2.1 days) and the Fluzone group (1.9 days).

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[Absenteeism as an indicator of health status of patients with long-term and frequent diseases]].

Results of the feasibility analysis of using sickness absenteeism as a measure of worker health condition, especially in long (above 30 days p.a.) and often (above 3 cases p.a.) ailing workers have been reported. Information on health condition of 5197 random-selected textile industry workers and their sickness absenteeism over one year period served as teh basis of the study. Sensitivity, specificity, negative and positive predictive value of the sickness absenteeism due to most frequently diagnosed illnesses in the investigated population were employed. Sickness absenteeism has proved to be a specific, but not very sensitive health condition measure. In the groups of long and frequently ailing persons, sickness absenteeism has proved to be the more sensitive but less specific measure than in the whole investigated group. Among the frequently ailing group, the percentage of persons absent because of digestive system diseases, circulatory system diseases and back diseases satisfactorily approximates the percentage of the chronically sick.

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Absenteeism-retention links.

Absenteeism and its relationship to retention was explored using Price and Mueller's 1981 model of turnover. Data were obtained from 71 hospital professionals by two questionnaires comprised of established instruments. Absenteeism data then were collected for six months. An empirical model of absenteeism is proposed that demonstrates the linking variables with retention and also reflects complex associations of intent to stay with turnover and absenteeism. Recommendations for reduction of absenteeism are included.

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Medically-related absenteeism: random or motivated behavior?

The present study examined alternative measures of absence proneness related to organizationally-defined measures of absenteeism. A typical distinction among various types of absences is to separate medically-related absences from other types, since medically-related absences are believed to reflect random or unsystematic causes of behavior rather than voluntary choice behavior of the employee. The present study defined absence proneness as the degree to which individuals repeat their behavior. Three years of absence data for a sample of employees from one company were examined to discover the degree of absence proneness present in organizationally-defined forms of medically-related and voluntary absenteeism. In addition, a survey was administered to the sample to measure employee perceptions of work and non-work-related factors which were believed to be motivational determinants of absenteeism. A multiple discriminant analysis was developed in an attempt to classify employees to a survey designed to measure motivational determinants of absenteeism. The classification results supported the view that medically-related absenteeism has motivational determinants related to employee work and non-work preferences. Implications for management are discussed.

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Computerized attendance surveillance to reduce absenteeism.

Computerized data on absenteeism were used as a basis for employee counseling and disciplinary action, and the effect of this program on absenteeism was assessed. In the pharmacy department of an 1100-bed tertiary-care hospital, a microcomputer program provides weekly print-outs of number of occurrences of absence, reason for absence, and total hours absent for each employee. When an employee is within 10 absent hours or one occurrence of exceeding departmental absenteeism standards, these data are used in informal counseling. If absenteeism standards are exceeded, oral or written warning is given within one week after the violation. Absenteeism among pharmacists and technicians was compared for a 90-day period after implementation of this program and the same period during the year before implementation. The computerized attendance-surveillance program was associated with decreases in the mean number of absence occurrences for both pharmacists and technicians, fewer warnings issued to each group, and an increase in the mean number of hours worked.

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The effects of unsatisfactory working conditions on the epidemiology of unauthorised absenteeism in an old textile factory in Isfahan, Iran.

Comparison of unauthorised absenteeism rates were made between two large textile factories in Isfahan, Iran. The working conditions in the study factory were rather unsatisfactory, unlike the control factory. Comparison showed significantly higher rates for the study factory: the average annual duration per person was 7 days in the study factory versus 2.5 days in the control factory, and lost time percentage was 2.4% in the former versus 0.84% in the control. Inception rate of persons was 0.73 versus 0.48, and point prevalence rates 0.002 versus 0.001, whilst period prevalence rates were 0.016 versus 0.011 for the study and control factories respectively. Examination of the study factory data was made to determine any possible relationship between unauthorised absenteeism rates and age and length of employment. It was found that higher unauthorised rates were found amongst the younger workers, 100% for those age 19 and under, versus 59.6% for those age 50 and over. 9.16% of workers employed for 1--4 years took such leave against 70.14% of those employed for 10 or more years. Only 18.8% of all workers took certified sickness absenteeism and the rate increased with age. It was suggested that worker dissatisfaction toward unsatisfactory working conditions may be expressed in terms of unauthorised absenteeism. In view of the widespread consequences of such absenteeism, it is recommonded that closer attention be paid to improve the quality of working life.

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[Work absenteeism in a mining company: trends in 1985-1988].

The magnitude of medical and non medical absenteeism among male workers performing rotative shifts in a high altitude mining company was studied. There was a general rate of absenteeism of 8.8 absent days per 100 labor days, which means that 31.8% of the total labor force was absent every month. Absenteeism due to medical causes correspond to a mean of 85% of total lost days during the four years of the study. Common diseases (digestive, respiratory, and osteo-muscular diseases, traumatisms and poisonings) give account 84.3% of these lost days. Among these, respiratory diseases had the higher prevalence and traumatisms and osteo-muscular diseases the higher severity (with values over 10 days off). The production areas and people working in shifts had the higher prevalences of medical absenteeism. The numbers of days off for medical causes almost doubled during the four year period and in 1988 represented 14% of all the salaries paid during the year. This increasing tendency was associated with a massive entrance to private health systems. It is concluded that the problem of medical absenteeism in this company is complex and growing and its attenuation requires preventive measures.

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The relationship of depression treatment quality indicators to employee absenteeism.

Although employers commonly review administrative database indicators to assess depression treatment quality, they do not know whether these indicators predict relevant outcomes like absenteeism. In 230 employed patients in five health plans, we tested how administrative database-derived indicators for antidepressant medication and psychotherapy provided during the first 6 months of a new depression treatment episode predicted patient-reported absenteeism change over 12 months. The medication indicator was not significantly associated with absenteeism change over 12 months (p = .64); however, the psychotherapy indicator was significantly associated with an average 26.1% improvement in absenteeism over 12 months (p < .05). If subsequent studies confirm the results we report, quality monitoring initiatives interested in employer-relevant indicators of depression treatment quality should examine administrative database indicators of psychotherapy.

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Absenteeism and labelling in hypertensive subjects. Prevention of an adverse impact in those at high risk.

In this work-site population, the illness absenteeism of 259 hypertensive subjects was studied in the year after they were screened and labelled. Absenteeism due to illness increased more in 48 patients who were unaware of their hypertension (newly labelled) than in the 211 subjects who were aware. Among the newly labelled subjects, only the young subjects and those with "pure" systolic hypertension experienced increased absenteeism; the older subjects with diastolic hypertension did not. The newly labelled subjects who received active follow-up and treatment with antihypertensive medication had only minimal increases in absenteeism. In contrast, those who received active follow-up without medication, and those who received only episodic follow-up had significantly greater increases. Vigorous efforts are warranted to insure active follow-up and treatment for hypertensive subjects after their condition has been labelled. Caution should be exercised in labelling, however, if no antihypertensive treatment is initiated.

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School absenteeism in children with asthma in a Los Angeles inner city school.

OBJECTIVE: To investigate the pattern of school absenteeism in asthmatic children within a Los Angeles inner city school. STUDY DESIGN: Five hundred twenty-eight students of predominant Hispanic ethnicity, from a Los Angeles inner city school were divided into 3 groups: known asthma, high probability of asthma, and low probability of asthma using a previously validated instrument. Attendance records of these students were analyzed to determine total and respiratory absences over a year. School records were compared to the corresponding answers on 513 surveys to determine the accuracy of parental responses in regard to their children's absenteeism. RESULTS: Children with known asthma missed on average 2 more days of school than children with low probability of asthma and high probability of asthma. This was only significant in the younger age groups. Survey responses were found to have a 45.6% agreement with school attendance records. Underestimation occurred more often when school-recorded absentee rates were highest. Overestimation occurred more by parents of children with known asthma or a high probability of asthma. CONCLUSION: In a Los Angeles inner city population, younger children with known asthma miss more days of school than those with no asthma. Survey-reported absenteeism is less accurate than school attendance records.

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Insomniac complaints interfere with quality of life but not with absenteeism: respective role of depressive and organic comorbidity.

BACKGROUND AND PURPOSE: Insomnia is common and associated with poor health status and quality of life. We designed a study to evaluate the impact of insomniac complaints with and without comorbidity on health status and absenteeism. PATIENTS AND METHODS: This is a cross-sectional study performed within a 1-year follow up study on a prospective cohort of French employees. Insomniac subjects (n=986) were compared to control subjects (n=584). Insomniacs suffering from self-reported depressive feelings and behavioral and organic sleep complaints were excluded. RESULTS: Subjects with insomniac complaints (whether with mood or behavioral and organic sleep complaints or not) reported poorer quality of life and had a higher absenteeism rate than controls (9.6+/-31 versus 5.8+/-19 days, P<0.01). A logistic regression model adjusting for depressive and behavioral and organic sleep complaints showed that insomniac complaints were no longer predictive of absenteeism. CONCLUSIONS: Insomniac complaints are strongly associated with deterioration in quality of life but not necessarily with higher absenteeism.

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[Work absenteeism of the nursing personnel of Valencia hospitals].

A survey was carried out on a sample of 973 nurses from hospitals in the Valencian Region. The objective was to study work absenteeism due to health reasons depending on socio-demographic factors, work organization and self perception of health status. Information was collected by means of a self-administered questionnaire. Duration and frequency of absenteeism was analysed over the previous twelve months. A 34.4% of female nurses and 35.4% of male nurses reported at least one episode, with an average length of 21 and 26 days respectively. There is a relation between absenteeism and self-perception of health status. We did not find man/woman differences with regards to absenteeism.

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Absenteeism and productivity among mental health employees.

We examined archival data to test the hypothesis that absenteeism is inversely related to work productivity among mental health employees at a Veterans Affairs Medical Center outpatient clinic. Results provided partial support for this hypothesis in that there was an inverse correlation between one measure of productivity and the percentage of sick and family care leave taken on Mondays and Fridays (r=.54). No significant relationship between work productivity and total sick and/or family care leave was found, although there was a trend in that direction (r=.34). These data suggest that mental health clinicians who use high levels of sick and/or family care leave are not necessarily unproductive workers. However, high percentages of absenteeism on Mondays and Fridays may represent a red flag for identifying under-performing clinicians. Examination of absenteeism patterns may prove useful for administrators. Management policy strategies to reduce absenteeism are suggested.

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Employee drug use, demographic characteristics, work reactions, and absenteeism.

Employees in a large work organization participated in an investigation of relationships between drug use and absenteeism and tardiness. Specifically, the study investigated the extent to which both self-reported and urine-screened drug use accounted for variance in several types of absenteeism, as well as tardiness, above and beyond that accounted for by demographic and work reaction variables. The results showed that employee drug use accounted for additional statistically significant variance in overall absenteeism and in absenteeism due to injuries and suspensions, as well as days tardy. Implications of these findings for organizational drug testing are discussed.

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Household exposure factors, asthma, and school absenteeism in a predominantly Hispanic community.

The Passaic Asthma Reduction Effort (PARE) used an asthma symptom and household exposure factor questionnaire to screen 4634 elementary school children over a 4-year period in Passaic, New Jersey. During the first year, an additional 240 preschool children were also screened. Overall, 16% of the school children were reported by their parents to have been diagnosed with asthma. In all, 30% of responding families claimed to have at least one family member diagnosed with asthma and this was five times more likely if the target child had asthma. Exposures consistently associated with childhood asthma diagnosis included environmental tobacco smoke (ETS), presence of dampness/mold, roaches, and furry pets in the home. Diagnosis of asthma was primarily associated with all six symptoms used in the PARE questionnaire, and secondarily with environmental factors. Puerto Rican and black children had the highest asthma prevalence (26% and 33%), while Mexican children had the lowest (7%). Use of medications and school absenteeism among asthmatic children were associated with wheeze and night cough, but not with any specific environmental exposure. Increased school absenteeism by children undiagnosed with asthma was associated with ETS and dampness/mold in the home. Differences in asthma diagnosis and absenteeism in response to environmental factors were found across ethnic subgroups. Getting asthmatic children on medical management protocols and providing families with education about environmental risk reduction should aid in reducing morbidity in this ethnically complex population. Such coordinated efforts offer the promise of reducing school absenteeism.

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Effects of smog on absenteeism in forestry workers.

Absenteeism among 161 Dutch forestry workers was investigated in a cohort study. The rate of taking sick leave was related to the concentrations of sulfate and ozone in ambient air, the air temperature, and the relative humidity. The incidence of absenteeism was treated as a Poisson process, with the size of population at risk as the offset factor and with the environmental monitoring data as hazard factors. There appeared to be some overdispersion; therefore, in a second analysis the incidence of absenteeism was also treated as a negative binomial outcome. With the exception of a separate overdispersion parameter in the negative binomial approach, both methods yielded approximately the same results. Although no significant association was found between absence rate and the measured ambient-air-quality data, there appeared to be a time lag of 3 d between a peak in temperature and 1 d in absenteeism.

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