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Journal articles on the topic 'Absenteeism'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Aniyan, Asha T. "Absenteeism and Factors Affecting Absenteeism." International Journal of Nursing & Midwifery Research 05, no. 01 (May 16, 2018): 27–31. http://dx.doi.org/10.24321/2455.9318.201807.

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2

Krishnaiah, Brunda N., Deepa L. Nanjundaswamy, Sujatha N. Kulkarni, Dinesh Peraje Vasu, Annarao G. Kulkarni, and Bhaskar Kurre. "Prevalence, Socio-cultural Restrictions and Determinants of School Absenteeism during Menstruation among Adolescent School Girls in Bangalore." Indian Journal of Community Health 35, no. 1 (March 31, 2023): 71–76. http://dx.doi.org/10.47203/ijch.2023.v35i01.013.

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Introduction: Menstrual-related problems are one of the most common problems among adolescent girls and might adversely affect their performance in academic and other activities of daily life. Aims & Objectives: 1. To determine the prevalence of school absenteeism among adolescent school girls during menstruation. 2. To assess the restrictions which are imposed on adolescent school girls during menstruation. 3. To evaluate the various factors associated with school absenteeism during menstruation. Methods: A study was conducted by carrying out a questionnaire and focus group discussion between October 2019-January 2020 in seven schools of Bangalore city after obtaining the assent and informed consent signed by their parents. Result: The mean age of the girls was 14.45 ± 1.71. The proportion of school absenteeism during menstruation was (30.25%). The majority (89.25%) of the students among the school absentees missed one day of school during menstruation. Among the school absentees, pain/discomfort was one of the main reasons for missing school, accounting for (69.42%). (46.25%) of the students were restricted from any kind of religious activities. Pain during menstruation, shame, fear of leakage, lack of toilet or water supply, lack of a place to dispose of sanitary pads and absence of a private place to manage periods were some factors that were associated with school absenteeism during menstruation. Conclusion: Considerably high school absenteeism among adolescent girls due to menstruation was noted in this study, highlighting the need for improved interventions that reach girls at a young age.

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3

Brborović, Hana, and Ognjen Brborović. "Patient safety culture shapes presenteeism and absenteeism: a cross-sectional study among Croatian healthcare workers." Archives of Industrial Hygiene and Toxicology 68, no. 3 (September 26, 2017): 185–89. http://dx.doi.org/10.1515/aiht-2017-68-2957.

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Abstract Healthcare workers have high rates of injuries and illnesses at the workplace, and both their absence from work due to illness (absenteeism) or working ill (presenteeism) can compromise patient safety and the quality of health care delivered. Following this premise, we wanted to determine whether presenteeism and absenteeism were associated with patient safety culture (PSC) and in what way. Our sample consisted of 595 Croatian healthcare workers (150 physicians and 445 nurses) who answered the short-form WHO Health and Work Performance Questionnaire and the Hospital Survey on Patient Safety Culture. The results have confirmed the association with both presenteeism and absenteeism in several PSC dimensions, but not as we expected based on the premise from which we started. Opposite to our expectations, lower job performance (as a measure of presenteeism) was associated with higher PSC instead of lower PSC. Absenteeism, in turn, was associated with lower PSC, just as we expected. These findings suggest that it is the PSC that shapes presenteeist and absenteeist behaviour and not the other way around. High PSC leads to presenteeism, and low PSC to absenteeism. We also believe that the presenteeism questionnaires should be adjusted to health care and better define what lower performance means both quantitatively and qualitatively in a hospital setting

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4

G, Santhoshkumar, Jayanthy S, and Velanganni R. "Employee Absenteeism." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 1426–30. http://dx.doi.org/10.5373/jardcs/v11/20192760.

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5

Rankis, Olaf, Paul S. Goodman, and Robert S. Atkin. "Absenteeism." Contemporary Sociology 15, no. 5 (September 1986): 762. http://dx.doi.org/10.2307/2071072.

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6

Higley, Robin Rae. "Absenteeism." Nursing Management (Springhouse) 19, Sup 6 (August 1988): 76???77. http://dx.doi.org/10.1097/00006247-198808000-00017.

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7

Miller, Donna S., and Virginia M. Norton. "Absenteeism." JONA: The Journal of Nursing Administration 16, no. 3 (March 1986): 38???42. http://dx.doi.org/10.1097/00005110-198603000-00008.

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8

Loos, Cynthia, and Diana Pallen. "Absenteeism." Nurse Educator 13, no. 6 (November 1988): 14–36. http://dx.doi.org/10.1097/00006223-198811000-00006.

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9

Wedderburn, Alexander. "Absenteeism." Journal of Economic Psychology 7, no. 1 (March 1986): 129–31. http://dx.doi.org/10.1016/0167-4870(86)90018-8.

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10

Ahsan M.K, Hussain S.H, Ali F. A, Ahmed S. S, and Ahmed S. A. "Absenteeism." JMMC 4, no. 2 (May 8, 2014): 44–46. http://dx.doi.org/10.62118/jmmc.v4i2.418.

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Objective: Absenteeism is a major problem which adversely affects the entire industrial economy and if absenteeism of the workers can be reduced, it will be of great importance to the success of an industry.In today's society, absenteeism significantly turns to a major problem and most of the organizations do not consider and pay attention to. Preferably it will be the right time that organizations may consider absenteeism as oneof the prominent & major problem and a predictor of turnover rates. This problem may affect the productivity, andthe morale of employees.As a result of absenteeism it may result in production losses; increase in labour cost and reduced efficiency ofoperation.Keywords: Absenteeism, Organization, Problem.

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11

Joseph Ayabei, Chirchir. "Exploring Factors Influencing Absenteeism and Academic Performance: A Study on Early Childhood and Primary Education (ECPE) Classes." IAA JOURNAL OF EDUCATION 10, no. 2 (February 23, 2024): 1–12. http://dx.doi.org/10.59298/iaaje/2024/102.1125.11.

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This study delves into the various factors influencing absenteeism and academic performance among children enrolled in Early Childhood and Primary Education (ECPE) classes. Data was collected through fieldwork in 2011, focusing on demographics, attitudes of parents and teachers towards ECPE classes, methods used for retention of learners, roles of teachers in children's performance, causes of absenteeism, and proposed solutions. The analysis revealed that poor teaching methods, inadequate structures, long distances to schools, weak administration, absenteeism of teachers, and harsh punishments contribute significantly to absenteeism among ECPE learners. These factors impact the academic performance of absentees, leading to subpar educational outcomes. Additionally, positive attitudes towards ECPE classes were found to correlate with better academic performance, emphasizing the importance of a conducive learning environment. Based on the findings, recommendations were made to address these challenges, including the elimination of harsh punishments, establishment of more schools to reduce travel distances, penalties for absent teachers, and the adoption of effective teaching methods. The study underscores the need for targeted interventions to improve attendance and enhance academic performance in ECPE classes. Keywords: Absenteeism, Academic performance, Early Childhood and Primary Education

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12

Yadav, Ramjeet Singh. "A Study of Relationship to Absentees and Score Using Machine Learning Method: A Case Study of Linear Regression Analysis." IARS' International Research Journal 12, no. 01 (February 28, 2022): 33–39. http://dx.doi.org/10.51611/iars.irj.v12i01.2022.186.

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Absenteeism from classrooms amongst students is an international problem that does not only affect Indian students. This research is focuses on absentees of student in class and score and has been carried out by using linear regression analysis. Linear regression analysis is one of excellent method of machine learning. The descriptive, student's t-test, Pearson correlation, and regression models were used in this study's statistical analysis. According to the results of this study, there are considerable variations between absentees and score (t-test=-4.06075, p < 0.05). The study also discovered that absenteeism from class had a negative link with the score (r = -0.6088) . To investigate the impact of class absentees on student score, a regression model was created. This study will benefit both the college administration and the students by raising awareness of the disadvantages of not attending classes.

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13

Odii, Aloysius, Obinna Onwujekwe, Eleanor Hutchinson, Prince Agwu, Charles Tochukwu Orjiakor, Pamela Ogbozor, Pallavi Roy, Martin McKee, and Dina Balabanova. "Absenteeism in primary health centres in Nigeria: leveraging power, politics and kinship." BMJ Global Health 7, no. 12 (December 2022): e010542. http://dx.doi.org/10.1136/bmjgh-2022-010542.

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BackgroundPrimary health centres (PHCs) in Nigeria suffer critical shortages of health workers, aggravated by chronic absenteeism that has been attributed to insufficient resources to govern the system and adequately meet their welfare needs. However, the political drivers of this phenomenon are rarely considered. We have asked how political power and networks influence absenteeism in the Nigerian health sector, information that can inform the development of holistic solutions.MethodsData were obtained from in-depth interviews with three health administrators, 30 health workers and 6 health facility committee chairmen in 15 PHCs in Enugu State, Nigeria. Our analysis explored how political configurations and the resulting distribution of power influence absenteeism in Nigeria’s health systems.ResultsWe found that health workers leverage social networks with powerful and politically connected individuals to be absent from duty and escape sanctions. This reflects the dominant political settlement. Thus, the formal governance structures that are meant to regulate the operations of the health system are weak, thereby allowing powerful individuals to exert influence using informal means. As a result, health managers do not confront absentees who have a relationship with political actors for fear of repercussions, including retaliation through informal pressure. In addition, we found that while health system structures cannot effectively handle widespread absenteeism, networks of local actors, when interested and involved, could address absenteeism by enabling health managers to call politically connected staff to order.ConclusionThe formal governance mechanisms to reduce absenteeism are insufficient, and building alliances (often informal) with local elites interested in improving service delivery locally may help to reduce interference by other powerful actors.

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14

Mikalachki, A., and Jeffrey Gandz. "Measuring Absenteeism." Relations industrielles 34, no. 3 (April 12, 2005): 516–45. http://dx.doi.org/10.7202/028989ar.

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The purpose of this paper is twofold: to provide a rationale for expending effort on measuring absenteeism and to unravel some of the complexities associated with the measurement and interpretation of absenteeism data.

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15

Lewis, Blaine. "Absenteeism Management." Journal of Ship Production 12, no. 03 (August 1, 1996): 194–97. http://dx.doi.org/10.5957/jsp.1996.12.3.194.

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The 1995 Ship Production Symposium theme of "Competitiveness" is very timely. Competitive forces for new shipbuilding work are fierce. Any factor affecting competitive advantage which is not pursued and wrestled into submission may be the one that causes a company to be defeated in the battle for survival. The factor which this paper will focus on is Absenteeism Management. The severity of the absenteeism problem for business in general is growing. In a tight market such as shipbuilding, absenteeism can be the difference that results in a company being unable to compete. Those who do not know the degree to which absenteeism affects business should pay close attention.

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16

Brooks, Peter M. "Academic absenteeism." Medical Journal of Australia 183, no. 11-12 (December 2005): 602. http://dx.doi.org/10.5694/j.1326-5377.2005.tb00049.x.

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17

Van Der Weyden, Martin B. "Academic absenteeism." Medical Journal of Australia 183, no. 7 (October 2005): 337. http://dx.doi.org/10.5694/j.1326-5377.2005.tb07075.x.

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18

Durand, V. Mark. "Employee Absenteeism." Journal of Organizational Behavior Management 7, no. 1-2 (September 30, 1985): 135–68. http://dx.doi.org/10.1300/j075v07n01_09.

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19

Carroll, H. C. M. "Pupil Absenteeism." School Psychology International 16, no. 3 (August 1995): 227–47. http://dx.doi.org/10.1177/0143034395163001.

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20

Morris, James H., J. Daniel Sherman, and Robert A. Snyder. "Prediction of Absenteeism from Attitudes, Prior Absenteeism, and Performance." Personnel Review 18, no. 1 (January 1989): 16–22. http://dx.doi.org/10.1108/00483488910133332.

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21

Islam, Khairul, and Tanweer J. Shapla. "Application of Discrete Regression Models for Analyzing K-8 Students Nonchronic Absenteeism in the United States." International Journal of Statistics and Probability 10, no. 4 (June 24, 2021): 127. http://dx.doi.org/10.5539/ijsp.v10n4p127.

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Absenteeism is a national crisis in the United States, and must be addressed adequately at the early stages or at its onset, to prevent consequential disaster and burden due to absenteeism. A pervasive and persuasive nonchronic absenteeism results in chronic absenteeism, and causes severe damage to students’ life, schools and societies. While a good number of articles address various issues relating to chronic absenteeism, no evidence of research exists investigating nonchronic absenteeism. The aim of this article is to investigate factors affecting nonchronic absenteeism in K-8 students in the United States by applying discrete regression models. Initially, we investigate K-8 students nonchronic absenteeism discrepancies due to socio-demographic and parental involvement factors via descriptive analysis and then employ Poisson and negative binomial regression models for exploring significant factors of K-8 nonchronic absenteeism. The findings of this study will be of great use to stakeholders in developing appropriate incentive measures for reducing nonchronic absenteeism early and thereby reducing chronic absenteeism.

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22

Birioukov, Anton. "Absent on Absenteeism: Academic Silence on Student Absenteeism in Canadian Education." Canadian Journal of Education/Revue canadienne de l'éducation 44, no. 3 (September 30, 2021): 718–31. http://dx.doi.org/10.53967/cje-rce.v44i3.4663.

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Despite mandatory school attendance policies, many students in Canada are frequently absent from school. Absenteeism is linked to numerous negative educational outcomes and is a growing educational issue internationally. This has lead universities in many countries to study the factors associated with absenteeism in order to reduce it. However, the Canadian educational discourse is largely absent on absenteeism. A review of faculty profiles revealed that no Canadian educational scholar investigates absenteeism as their primary area of research. The lack of empirical knowledge concerning student absenteeism is a contributing factor to the high levels of absenteeism evident in Canada. This article serves as a call to action for Canadian academics to research student absenteeism in order to alleviate the behaviour. Keywords: school attendance, student absenteeism, truancy, school refusal, school anxiety, school withdrawal

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23

Judge, Timothy A., Susan R. Rhodes, and Richard M. Steers. "Managing Employee Absenteeism." Industrial and Labor Relations Review 44, no. 3 (April 1991): 577. http://dx.doi.org/10.2307/2524179.

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24

Burton, Roberta. "Tackling staff absenteeism." Nursing Standard 7, no. 3 (October 7, 1992): 37–40. http://dx.doi.org/10.7748/ns.7.3.37.s44.

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25

Guinchard, Roland. "Absenteeism and phantasy." Journal of Managerial Psychology 13, no. 7 (November 1998): 485–97. http://dx.doi.org/10.1108/02683949810239259.

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26

Jacobsen, Kathleen, Linda Meeder, and Vicki R. Voskuil. "Chronic Student Absenteeism." NASN School Nurse 31, no. 3 (March 24, 2016): 178–85. http://dx.doi.org/10.1177/1942602x16638855.

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27

Nauer, Kim. "Battling chronic absenteeism." Phi Delta Kappan 98, no. 2 (September 26, 2016): 28–34. http://dx.doi.org/10.1177/0031721716671903.

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28

Ault, Richard, Robert Ekelund, John Jackson, Richard Saba, and David Saurman. "Smoking and absenteeism." Applied Economics 23, no. 1 (April 1991): 743–54. http://dx.doi.org/10.1080/00036849100000181.

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Ault, Richard W., Robert B. Ekelund, John D. Jackson, Richard S. Saba, and David S. Saurman. "Smoking and absenteeism." Applied Economics 23, no. 4 (April 1991): 743–54. http://dx.doi.org/10.1080/00036849108841031.

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30

Curran, Mary A., and Kent E. Curran. "Gambling Away Absenteeism." JONA: The Journal of Nursing Administration 17, no. 12 (December 1987): 28–31. http://dx.doi.org/10.1097/00005110-198712000-00007.

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Curran, Mary A., and Kent E. Curran. "Gambling Away Absenteeism." JONA: The Journal of Nursing Administration 17, no. 12 (December 1987): 28???31. http://dx.doi.org/10.1097/00005110-198712010-00007.

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32

Thekedam, Joseph Sebastian. "Managing Employee Absenteeism." Ushus - Journal of Business Management 9, no. 1 (January 10, 2010): 11–25. http://dx.doi.org/10.12725/ujbm.16.2.

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Employee absence rate, causes of employee absenteeism and the effects of employee absences on productivity are topics of discussion in many organizations. One reason is that high rates of employee absence may signal weak management and poor labor-management relations. A second reason is that reducing rates of employee absence may be an effective way to improve productivity. This paper reports the results of a study of employee absences in education, a large, labor-intensive industry. Employee absence in education is a serious problem which adversely affects the curriculum, discipline of the students and academic achievements of the students. In addition to economic loss, teacher absences induces students' absenteeism and causes damage to the school's reputation and it may even affect the school's general existence. This research paper tries to find out employee absenteeism rate, analyse the causes of employee absenteeism and design suitable programmes for encouraging better attendance of employees. Correlation analysis revealed that employee absenteeism was significantly related to demographic variables, cultural factors, personal characteristics of employees, community characteristics and organisational factors.

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33

Smith, Susan E., and W. Michael Reid. "Absenteeism Control Programs." AAOHN Journal 39, no. 6 (June 1991): 281–85. http://dx.doi.org/10.1177/216507999103900604.

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34

Taunton, Roma Lee, Sydney D. Krampitz, and Cynthia Q. Woods. "Absenteeism-Retention Links." JONA: The Journal of Nursing Administration 19, no. 6 (June 1989): 13???21. http://dx.doi.org/10.1097/00005110-198906010-00007.

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35

Coleman, Daniel F., and Norbert V. Schaefer. "Weather and Absenteeism." Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration 7, no. 4 (April 8, 2009): 35–42. http://dx.doi.org/10.1111/j.1936-4490.1990.tb00540.x.

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36

Weiss, Andrew. "Absenteeism and wages." Economics Letters 19, no. 3 (January 1985): 277–79. http://dx.doi.org/10.1016/0165-1765(85)90036-9.

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37

Ilić, Đurđijana. "Measuring absenteeism as a precondition of quality management of absenteeism." Trendovi u poslovanju 8, no. 1 (2020): 66–74. http://dx.doi.org/10.5937/trendpos2001066i.

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Hemant Joshi, Shrikant, V. Kuzhanthai Veerappan, Rushna Bano, and H. R. Rohith. "School Absenteeism In Children And Factors Associated With School Absenteeism." Research Journal of Medical Sciences 18, no. 6 (May 8, 2024): 325–29. http://dx.doi.org/10.36478/makrjms.2024.6.325.329.

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39

Ojha, Bhoj Raj. "Factors affecting employee absenteeism in Nepalese commercial banks." Management Dynamics 23, no. 1 (March 9, 2020): 105–24. http://dx.doi.org/10.3126/md.v23i1.35566.

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The impact of absenteeism on firms or even a nation’s economy is enormous, taking account of the costs associated with it. The major objective of the study is to analyze the relationship between job satisfaction, health status, family responsibilities, working condition, employee relation, occupational stress, and transportation problem and employee absenteeism of Nepalese commercial banks and to make suggestions to minimize the level of absenteeism of employees. However the specific objectives of this study are to analyze the perception of employees towards the absenteeism in Nepalese commercial banks, to determine factor affecting employee absenteeism in Nepalese commercial banks, to identify the reasons for absenteeism among employees in Nepalese commercial banks, to examine the relationship between job satisfaction, health status, family responsibilities, working condition, employee relation, occupational stress, transportation problem employee absenteeism in Nepalese commercial banks, to investigate the impact of job satisfaction, health status, family responsibilities, working condition, employee relation, occupational stress, transportation problem on employee absenteeism, to analyze the most important variable affecting employee absenteeism. The study found that job satisfaction is inversely related to absenteeism. The absent from a work situation that is sampling errors, scale inadequacies and the use of different measurement instruments. The psychological model that discusses this is the withdrawal model, which assumes that absenteeism represents individual withdrawal from dissatisfying working conditions. The study support in a negative association between absence and job satisfaction, especially satisfaction with the work itself. Medical-based understanding of absenteeism find support in research that links absenteeism with smoking, problem drinking, low back pain, and migraines Absence ascribed to medical causes is often still, at least in part, voluntary.

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40

Tsang, Tim K., Xiaotong Huang, Yiyang Guo, Eric H. Y. Lau, Benjamin J. Cowling, and Dennis K. M. Ip. "Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis." JMIR Public Health and Surveillance 9 (January 11, 2023): e41329. http://dx.doi.org/10.2196/41329.

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Background Influenza causes considerable disease burden each year, particularly in children. Monitoring school absenteeism has long been proposed as a surveillance tool of influenza activity in the community, but the practice of school absenteeism could be varying, and the potential of such usage remains unclear. Objective The aim of this paper is to determine the potential of monitoring school absenteeism as a surveillance tool of influenza. Methods We conducted a systematic review of the published literature on the relationship between school absenteeism and influenza activity in the community. We categorized the types of school absenteeism and influenza activity in the community to determine the correlation between these data streams. We also extracted this correlation with different lags in community surveillance to determine the potential of using school absenteeism as a leading indicator of influenza activity. Results Among the 35 identified studies, 22 (63%), 12 (34%), and 8 (23%) studies monitored all-cause, illness-specific, and influenza-like illness (ILI)–specific absents, respectively, and 16 (46%) used quantitative approaches and provided 33 estimates on the temporal correlation between school absenteeism and influenza activity in the community. The pooled estimate of correlation between school absenteeism and community surveillance without lag, with 1-week lag, and with 2-week lag were 0.44 (95% CI 0.34, 0.53), 0.29 (95% CI 0.15, 0.42), and 0.21 (95% CI 0.11, 0.31), respectively. The correlation between influenza activity in the community and ILI-specific absenteeism was higher than that between influenza activity in community all-cause absenteeism. Among the 19 studies that used qualitative approaches, 15 (79%) concluded that school absenteeism was in concordance with, coincided with, or was associated with community surveillance. Of the 35 identified studies, only 6 (17%) attempted to predict influenza activity in the community from school absenteeism surveillance. Conclusions There was a moderate correlation between school absenteeism and influenza activity in the community. The smaller correlation between school absenteeism and community surveillance with lag, compared to without lag, suggested that careful application was required to use school absenteeism as a leading indicator of influenza epidemics. ILI-specific absenteeism could monitor influenza activity more closely, but the required resource or school participation willingness may require careful consideration to weight against the associated costs. Further development is required to use and optimize the use of school absenteeism to predict influenza activity. In particular, the potential of using more advanced statistical models and validation of the predictions should be explored.

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41

Michel, P., JF Dartigues, G. Duru, J. Moreau, R. Salamon, and P. Henry. "Incremental Absenteeism Due to Headaches in Migraine: Results from the Mig-Access French National Cohort." Cephalalgia 19, no. 5 (June 1999): 503–10. http://dx.doi.org/10.1046/j.1468-2982.1999.019005503.x.

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Objective To assess the costs of headache-related absenteeism of community-dwelling migraineurs, and to compare the amount of absenteeism between migraineurs aged 18 and older and age, sex, and occupation-matched nonheadache-prone subjects. Design Follow-up over a 3-month period. Samples 385 migraineurs and 313 nonheadache subjects representative of the setting. Methods Every day, the participants recorded the presence of headache, if any, and the work situation (unemployment, holiday, weekend, medical reason, nonmedical reason). Sickness-related absenteeism was the number of workdays missed or interrupted for medical reasons. Headache-related absenteeism was the sickness-related absenteeism during workdays with headaches. The annual headache-related absenteeism costs in France were extrapolated from these data in accordance with the mean income per occupational category. The incremental absenteeism and related costs were the difference between the two samples. Results Of working migraineurs, 20% had at least one period of absenteeism. During the 3 months, they missed or interrupted on average 1.4 days for medical reasons, 0.25 of which for headaches. Sickness-related absenteeism was statistically higher in migraineurs than in nonheadache-prone subjects. This difference was due to a higher absenteeism for comorbidity reasons, not for headache reasons, representing 20% of all sickness-related absenteeism. Migraineurs avoided sick leave for headache reasons. As an incremental total, 1.68 days or approximately 0.7% of the annual number of working days are lost on average per individual with migraine. The annual incremental headache-related absenteeism cost was 5.22 billions, i.e. 1,551 FF (US$240) per migraineur.

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42

Loprinzi, Paul D., and Emily Frith. "Accelerometer-Assessed Physical Activity and School Absenteeism Due to Illness or Injury Among Children and Adolescents: NHANES 2003 to 2006." American Journal of Health Promotion 32, no. 3 (December 22, 2016): 571–77. http://dx.doi.org/10.1177/0890117116684241.

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Introduction: To examine the association between objectively measured moderate to vigorous physical activity (MVPA) and total physical activity with school absenteeism due to illness or injury among children and adolescents. Design: Cross-sectional study. Setting: National Health and Nutrition Examination Survey 2003 to 2006. Participants: A total of 1249 children (aged 6-11 years) and 1747 adolescents (aged 12-17 years). Measures: School absenteeism was categorized as no/minimal school absenteeism (0-8 missed school days in the past 12 months), moderate absenteeism (9-17 missed days), or severe absenteeism (18+ missed days). Physical activity was objectively measured via accelerometry. Analysis: Multinomial logistic regression. Results: Children in the most active quartile had 89% reduced odds of severe absenteeism relative to the least active quartile (odds ratio [OR]: 0.11; 0.95% confidence interval [CI]: 0.02-0.48); results were similar for MVPA. For adolescents, those in the most active quartile for MVPA had a 41% reduced odds of having moderate (vs no/minimal) absenteeism (OR = 0.59; 95% CI: 0.35-0.99). For children, a multiplicative interaction effect of MVPA and poverty level on severe absenteeism was observed (OR = 0.98, P = .02). Conclusion: Higher levels of physical activity were associated with lower odds of severe school absenteeism. Such an observation is important, as school absenteeism strongly contributes to academic performance. Particular attention for promoting physical activity and closely monitoring school absenteeism among youth below the poverty level may be warranted.

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Maltezou, Helena C., Caterina Ledda, and Nikolaos V. Sipsas. "Absenteeism of Healthcare Personnel in the COVID-19 Era: A Systematic Review of the Literature and Implications for the Post-Pandemic Seasons." Healthcare 11, no. 22 (November 12, 2023): 2950. http://dx.doi.org/10.3390/healthcare11222950.

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This systematic review aimed to assess COVID-19-associated absenteeism among healthcare personnel (HCP). PubMed was searched on 4 February 2023. Inclusion criteria were the presentation of original data on COVID-19-associated absenteeism among HCP. Exclusion criteria were absenteeism associated with burnout, mental health illness, post-COVID syndrome, or child-care. Nineteen articles were identified; fifteen concerned almost exclusively the first pandemic year. Hospitals accounted for most data. There was heterogeneity across studies in terms of presentation of absenteeism data. Before COVID-19 vaccines became available, COVID-19 was a major driver of HCP absenteeism with excess costs, while the mean duration of absenteeism ranged from 5.82 to 33 days per episode of absence. Determinant factors of absenteeism rates were department of employment, high-risk exposure, age, profession, and work experience of HCP, suspected COVID-19, SARS-CoV-2 testing, SARS-CoV-2 positivity, and return-to-work strategy. Two studies demonstrated that COVID-19 vaccination significantly reduced the burden of absenteeism. Routine testing of asymptomatic HCP and use of personal protective equipment also significantly ameliorated absenteeism. In conclusion, COVID-19 has been a major driver of HCP absenteeism. Research is needed to assess how COVID-19 will impact HCP in the next years, considering the new SARS-CoV-2 variants, the co-circulation of other respiratory viruses, and the newer COVID-19 vaccines. Networks are needed to survey morbidity and absenteeism among HCP in real-time and guide vaccination policies.

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Marzec, Mary L., Andrew Scibelli, and Dee Edington. "Impact of changes in medical condition burden index and stress on absenteeism among employees of a US utility company." International Journal of Workplace Health Management 8, no. 1 (March 9, 2015): 15–33. http://dx.doi.org/10.1108/ijwhm-09-2013-0035.

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Purpose – The purpose of this paper is to investigate the impact of changes of medical condition burden index (MCBI) and stress on absenteeism and discuss implications for policy/program design. Design/methodology/approach – Sample: US utility employees that participated in Health Risk Appraisals (HRA) during 2009 and 2010 (n=3,711). Methods: the MCBI was created by summing number of medical conditions. Absenteeism was measured from administrative records. Change in MCBI and stress and impact on absenteeism was assessed according to incremental change, by low/high categorizations, and by using multivariate regression. Findings – Incrementally, greater changes in MCBI or stress generally resulted in corresponding absenteeism change. For both MCBI and stress, high categories were associated with greater absenteeism compared to those in low categories. Those remaining in the low MCBI category decreased absenteeism (−0.10 days/year; p=0.01). Changes from low to high MCBI resulted in increased absenteeism (+0.12 days/year; p=0.04. Changes in stress from low to high or from high to low categories resulted in concurrent changes in absenteeism (+0.21 days/year; p=0.04 and −0.31 days/year; p=0.01, respectively). Regression analyses indicated the interaction between stress and MCBI as a significant contributor to absenteeism change. Research limitations/implications – Conclusions: MCBI, stress and their interaction appear to be direct determinants of absenteeism. Companies should consider both physical and emotional health simultaneously in program interventions in order to reduce absenteeism. Originality/value – Unlike most studies illustrating cross-sectional relationships, this study shows how changes in stress and medical conditions relate to changes in absenteeism. The interaction between MCBI and stress in this context is also a novel addition.

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Rowlands, Stella, Josephine Holman, and Karen Blades. "An Absenteeism Survey of Clerical Workers in Medical Record Departments." Australian Medical Record Journal 19, no. 2 (June 1989): 63–70. http://dx.doi.org/10.1177/183335838901900206.

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A survey of the patterns of absenteeism among clerical staff working in twenty-seven medical record departments in New South Wales and the Australian Capital Territory revealed that there was not a significant relationship between the bed size of the hospital (the organisation) and absenteeism, or between the medical record department (the work unit) and absenteeism. Absenteeism was defined as a day of sick leave without a medical certificate. Absenteeism was spread throughout the weekdays, and 56 percent of workers had at least one absent day during the period. Age and type of work were not associated with absenteeism, but males had a significantly higher rate than females (p < 0.001). The authors suggest that exchange theory rather than work unit size may better explain absenteeism. (AMRJ 1989, 19(1), 63–70).

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Ahsan M.K, Hussain S.H, Ali F. A, Ahmed S. S, and Ahmed S. A. "A case study of Administration Department, A Leading Healthcare Medical Education Institution in Karachi, Pakistan." JMMC 4, no. 2 (May 8, 2014): 32–34. http://dx.doi.org/10.62118/jmmc.v4i2.340.

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Objective: Absenteeism is a major problem which adversely affects the entire industrial economy and if absenteeism of the workers can be reduced, it will be of great importance to the success of an industry.In today's society, absenteeism significantly turns to a major problem and most of the organizations do not consider and pay attention to. Preferably it will be the right time that organizations may consider absenteeism as oneof the prominent & major problem and a predictor of turnover rates. This problem may affect the productivity, andthe morale of employees.As a result of absenteeism it may result in production losses; increase in labour cost and reduced efficiency ofoperation.Keywords: Absenteeism, Organization, Problem.

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Kocakülâh, Mehmet C., Timothy G. Bryan, and Stevie Lynch. "Effects of Absenteeism on Company Productivity, Efficiency, and Profitability." Business and Economic Research 8, no. 1 (January 2, 2018): 115. http://dx.doi.org/10.5296/ber.v8i1.12395.

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As the age of the 9 to 5 workday comes to close and employment situations become more and more complex with the rise of ever-growing technology, employers are experiencing ever-increasing costs of absenteeism. The purpose of this research paper is to answer the general question of how absenteeism affects a company’s productivity, efficiency, and profitability. We seek to assist a company in understanding what absenteeism is, how to determine whether or not an absenteeism problem exists in the company, and how to recognize and eliminate issues related to absenteeism. Specific causes of absenteeism will be discussed, along with respective solutions that some companies are using to deal with these issues. We will conclude with a consideration of how companies can implement specific, company-wide policies and organizational culture to attempt to combat absenteeism in the workplace.

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Furue, Akiko, Arisa Harada, Seiichiro Tateishi, and Masako Nagata. "P-590 SICKNESS-RELATED ABSENTEEISM AND PSYCHOLOGICAL DISTRESS AMONG PATIENTS WITH PHYSICAL DISEASE AFTER RETURN-TO-WORK: A CROSS SECTIONAL STUDY IN JAPANESE HOSPITAL." Occupational Medicine 74, Supplement_1 (July 1, 2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.1413.

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Abstract Introduction The association between sickness-related absenteeism and psychological distress were reported; however, its association among patients with physical disease after return-to-work (RTW) remains unclear. This study aimed to assess the association between sickness-related absenteeism and psychological distress in physical disease patients after RTW. Methods This cross-sectional study analyzed self-administered questionnaires from patients visiting a Japanese hospital between August 2021 and March 2022. The study included 168 employed individuals who reported RTW during the survey. Logistic regression was used to analyze the association between sickness-related absenteeism and psychological distress in physical disease patients after RTW. Results Of the 168 participants (mean age: 50.4 years, 41.1% male, 48.2% Neoplasms), 54.8% reported experiencing sickness-related absenteeism after RTW. After adjusting for age and gender, sickness-related absenteeism was significantly associated with psychological distress in physical disease patients after RTW (odds ratio: 2.19, 95% confidence interval: 1.02-4.70). Discussion Sickness-related absenteeism was associated with psychological distress in physical disease patients after RTW. Absenteeism can lead to a reduction in patients’ income and loss of workforce for companies, imposing a burden on both workers and employers. It remains unclear whether sickness-related absenteeism leads to psychological distress or vice versa. In both cases, psychological support benefits for patients experiencing sickness-related absenteeism after RTW. Conclusion Patients with physical disease after RTW need support to receive treatment while continuing to work. In particular, psychological support benefits for patients with sickness-related absenteeism.

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Boro, Pallvi. "Preventing School Absenteeism during Menstruation." Indian Journal of Youth & Adolescent Health 09, no. 03 (November 23, 2022): 3–6. http://dx.doi.org/10.24321/2349.2880.202210.

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Kala'lembang, Adriani, and Mufidatul Islamiyah. "Aplikasi Pengolahan Presensi Perkuliahan Dengan Metode Prototype di STMIK Asia Malang." Jurnal Ilmiah Teknologi Informasi Asia 12, no. 2 (October 23, 2018): 147. http://dx.doi.org/10.32815/jitika.v12i2.196.

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Absenteeism system by using present technology can be applied in processing the absenteeism of the student of STMIK Asia Malang, where student absenteeism recap used in STMIK Asia Malang at the moment is carried out conventionally. The negative effects of absenteeism recapitulation conventionally are vulnerable to students who like to absent and entrusted the absence to someone. It is because the lecturer sometimes cannot oversee directly the presence of students in large numbers. Therefore a system is designed in order that student absenteeism processing in STMIK Asia Malang can be more effective. System design used in this journal is using prototype method. The results of this system are able to process data on the system and able to do absenteeism data recording.

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