Existential, Relatedness and Growth Needs that Determine Turnover Intention of Rural CHC Doctors in Tamil Nadu: Structural Equation Model

IF 1 Q4 HEALTH POLICY & SERVICES
J. Shanmugapriya, Seema Mehta, Tanjul Saxena
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Abstract

This article explores the motivational needs of doctors to retain in the rural areas by reducing their turnover intention. The study investigates the effect of Existential, Relatedness, and Growth (ERG) dimensions on turnover intention of Community Health Centre (CHC) doctors when they are placed in rural and remote areas of Tamil Nadu. This article discovered and examined the link between ERG needs and turnover intention. The study is based on a cross-sectional analytic study design, wherein primary data were gathered using a structured questionnaire on a five-point Likert scale from 318 doctors and processed through descriptive statistics and structural equation modelling using Smart PLS 3. The element of ‘growth needs’ within the ERG framework has been identified as the most significant predictor of rural CHC doctors’ intention to leave their positions. Therefore, policymakers should focus on developing strategies related to this aspect to retain doctors in rural areas. Additionally, researchers and public health practitioners can employ validated ERG instruments to analyse doctors’ motivation for choosing rural postings in India.
泰米尔纳德邦农村CHC医生离职意愿的存在性、相关性和成长需求:结构方程模型
本文通过降低医生离职意愿,探讨了医生留在农村的动机需求。本研究调查了存在、关联和成长(ERG)维度对泰米尔纳德邦农村和偏远地区社区卫生中心(CHC)医生离职意向的影响。本文发现并检验了ERG需求与离职倾向之间的联系。本研究基于横断面分析研究设计,其中318名医生使用五点李克特量表的结构化问卷收集主要数据,并使用Smart PLS 3通过描述性统计和结构方程建模进行处理。ERG框架内的“成长需求”元素已被确定为农村CHC医生离职意向的最重要预测因子。因此,政策制定者应重点制定这方面的相关战略,以留住农村地区的医生。此外,研究人员和公共卫生从业人员可以使用经过验证的ERG工具来分析医生选择在印度农村工作的动机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Health Management
Journal of Health Management HEALTH POLICY & SERVICES-
CiteScore
3.40
自引率
0.00%
发文量
84
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