Open AccessStudy of adaptation pattern and related parameters among newly joined nursing staff of Acharya Vinoba Bhave rural hospital
Author(s) -
Vishal Kamble,
Rupali Naik,
Vandana Gudhe
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns2.5035
Subject(s) - adaptation (eye) , nursing , nursing staff , scale (ratio) , psychology , descriptive statistics , descriptive research , medicine , sociology , social science , statistics , physics , mathematics , quantum mechanics , neuroscience
Adaptation is a mechanism marked by uncertainty and multi-dimensionality, with two actors, both the employee and the company, deciding the success of it. The correctly applied adaptation mechanism should allow the staffs gets to know organisation that its different ways-it is priorities, construction, laws, methods, prevalent behaviours, concepts of the motivational method-to achieve this result. The nature of duties and goals relevant to working in a given job should also be defined, presented to more workers with whom the recently employed worker will collaborate in the following or familiarise the staff with the working procedures utilized in the company to execute tasks. This study aims to identify the adaptation and its related parameters in newly joined Nursing staff of AVBR Hospital. This will be a descriptive study that includes newly joined Nursing staff at AVBRH, Wardha. Total 100 nursing staff will be assessed using ‘adaptation scale’ in personal interviews. Statistical analysis will be done by descriptive and inferential statistics with the help of SPSS 17.0 software. Scores for Adaptation Scales of newly joined nursing staff will be obtained. The adaptation scores and its related parameters in newly joined Nursing staff can dictate the future hiring policies and strategies.