INTRODUCTION:

Absenteeism is referred to herein as failure of employees to report for work when they are scheduled to work. Employees who away from work on recognized holidays, vacations, approved leaves of absence, or leaves of absence allowed for under the collective agreement provisions would not be included. Absenteeism is one of the major problems facing our organization today.

The work environment of nursing professionals is unhealthy, both in material and psychological aspects and, being subject to poor work conditions, the maintenance of their health is impaired. Stated headline figures range from 0.8% in Italy to 7.7% in Norway. Given the reporting differences noted above, this range may exaggerate differences.¹

STATEMENT OF THE PROBLEM:

“A Study to Assess the Sickness absenteeism among Staff Nurses engaging in Long Nursing Shift at SMVMCH at Puducherry”.

OBJECTIVES:

● To assess the sickness absenteeism among staff nurse engaging in long nursing shift.

● To associate the sickness absenteeism among staff nurses in long nursing shift with their selected demographic variables.

MATERIALS AND METHODS:

The present study was conducted to assess the Sickness Absenteeism among Staff Nurses engaging in Long Nursing Shift. The study design was descriptive research design with quantitative research approach. A total of 60 nurses who met the inclusion criteria were selected by using purposive sampling technique. Setting of the study was conducted in SMVMCH (Sri Manakula Vinayagar Nursing College). The researcher first introduced himself to the staff nurses and developed a rapport communication with them. After the selection of samples the data was collected with the prepared tools.

Description of the tool:

Part I:

Demographic variables consisting of age, gender, religion, area of residence, educational status, occupation, marital status, income, number of years working, type of family, which shift you like to find more difficulty, does your job match with your qualification, if the employee attending the daily duty on time.

Part II:

Self prepared likert scale for sickness absenteeism, the scale consist of 18 questions based on 4 point likert scale and total score was 72.

Table –1: Frequency and percentage wise distribution of the assessment of the sickness absenteeism among staff nurse engaging in long nursing shift at SMVMCH (N=60)

Sickness Absenteeism	Frequency (N)	Percentage (%)
Frequent	0	0
Periodical	20	33.3
Occasional	40	66.7

Frequency and percentage wise distribution of the assessment of the sickness absenteeism among staff nurse engaging in long nursing shift at SMVMC. Majority (40) of the sickness absenteeism among staff nurses engaging in long nursing shift were occasional (66.7%), periodical in 20 (33.3%) and none (0%) were frequently absent.

Figure-1: Sickness absenteeism among staff nurses engaging in long nursing shift at SMVMC.

DISCUSSION:

The study was conducted to assess the sickness absenteeism among staff nurses engaging in long nursing shift at SMVMCH, at Puducherry A total number of 60 staff nurses were selected for this study. The study was conducted using a structured questionnaire for assessed the sickness absenteeism among staff nurses.

The first objective to assess the sickness absenteeism among staff nurse engaging in long nursing shift:

Table 1: shows Frequency and percentage wise distribution of the assessment of the sickness absenteeism among staff nurse engaging in long nursing shift at SMVMCH. Majority of the sickness absenteeism among staff nurse engaging in long nursing shift had occasional in 40(66.7%), periodical in 20(33.3%) and frequent in 0(0%).

Canberra (2017), et.al. Australian Bureau of Statistics. National Health Survey Coverage: Employed persons aged from 15 years and over from all states and territories. Around 15000 dwellings and 19000 people, Dwellings selected at random using a multistage area frame. Face-to-face interview, Data refer to the number of work days lost due to illness/injury in the 2 weeks prior the interview, Total lost days have been multiplied by 23 (to allow for annual leave and public holidays) and divided by an estimate of the size of the labour force to derive days lost/person/year.[2]

The Second objective to associate the sickness absenteeism among staff nurses engaging in long nursing shift with their selected demographic variable:

In this reveals that association between the effectiveness of the assessment of the sickness absenteeism among staff nurse engaging in long nursing shift at SMVMC with their demographic variables.

It was statistically found that the marital status, income and type of family has significant association at the level of p< 0.05. It was statistically found that the age, religion. Area of residing, educational status,, income, number of years working in nursing ,which shift you like to find more difficulty, does your job match with your qualification and if the employee attending the daily duty on time has significant association at the level of p< 0.001.

SUMMARY AND CONCLUSION:

The present study was conducted to assess the sickness absenteeism among staff nurses engaging in long nursing shift at SMVMCH, at Puducherry. The descriptive research design was selected. A total of 60 patients who met the inclusion criteria were selected from the SMVMCH at Puducherry by using purposive sampling technique. The researcher first introduced himself to the staff nurses and developed a rapport communication with them. After the selection of samples the data was collected with the prepared tools.

CONCLUSION:

Part I:

demographic variables consisting of age, gender, religion, area of residence, educational status, occupation, marital status, income, number of years working, type of family, which shift you like to find more difficulty, does your job match with your qualification, if the employee attending the daily duty on time.

Part II:

Assessment of in this study the self prepared likert scale for sickness absenteeism, the scale consist of 18 questionnaire in basis of 4 point likert scale and total score was 72.

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4. Australian Bureau of Staistics (2011b) Census Dictionary Australia 2011. Vol. 2016.

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NET REFERENCE:

1. https://www.idf.org/sites/default/files/IDF%20T2DM%Guideline.pdf

2. http://apps.who.int/iris/bitstream/10665/204871/1/9789241565257_eng.pdf

3. https://doi.org/10.1002/edn.247

4. www.journals.plos.org

5. onlinelibrary.wiley.com

6. https://pdfs.semanticscholar.org

Received on 19.04.2022 Modified on 05.05.2022

Int. J. of Advances in Nur. Management. 2022; 10(4):326-328.

DOI: 10.52711/2454-2652.2022.00073