上海交通大学学报（医学版）

上海交通大学学报（医学版）

• 论著（公共卫生） • 上一篇    下一篇

人口统计学变量对医务员工职业价值观影响规律分析

蒋丽娟1,2，袁青2，顾伟敏2，阮伟3，袁蕙芸4   

  1. 上海交通大学 1.公共卫生学院， 上海 200025； 2.医学院附属瑞金医院北院，上海 201801； 3.医学院附属仁济医院南院护理部， 上海 200127； 4.医学院附属仁济医院宣传部， 上海 200127
  • 出版日期:2015-11-28 发布日期:2016-01-13
  • 通讯作者: 袁蕙芸, 电子信箱: yuanhuiyun@hotmail.com。
  • 作者简介:蒋丽娟(1980—)， 女， 助理研究员， 学士; 电子信箱: jfiorin@163.com。
  • 基金资助:

    上海市卫生和计划生育委员会科研项目(20134276)

Analysis of influence rules of demographic variables towards occupational value of medical staff

JIANG Li-juan1,2, YUAN Qing2, GU Wei-min2, RUAN Wei3, YUAN Hui-yun4   

  1. 1.School of Public Health, Shanghai Jiao Tong University，Shanghai 200025, China; 2.Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai 201801, China; 3.Department of Nursing, Renji Hospital South Campus, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; 4.Department of Publicity, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
  • Online:2015-11-28 Published:2016-01-13
  • Supported by:

    Scientific Research Foundation of Shanghai Municipal Commission of Health and Family Planning, 20134276

PDF (PC)

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摘要：

目的  了解医务员工职业价值观现状，分析人口统计学变量对职业价值观影响规律。方法  参考工作价值观量表(WVI)，结合我国医务员工特点，自制测评量表对上海市某家新建三级医院516名员工进行调查，并对其职业价值观与人口统计学变量关系，包括性别、年龄、岗位、职称、教育程度及婚姻状况进行独立样本t检验或单因素方差分析。结果  性别、教育程度及婚姻状况与医务员工职业价值观差异无统计学意义(P>0.05)；年龄、岗位及职称与医务员工职业价值观差异有统计学意义(P<0.05)。结论  人口统计学变量对医务员工职业价值观有一定程度影响，满足不同背景医务员工的需求，能保持工作积极性、提高工作绩效、提升医疗服务品质。

关键词: 职业价值观, 医务员工, 人口统计学变量

Abstract:

Objective  To investigate the current status of occupational value of medical staff and analyze the influence rules of demographic variables towards the occupational value. Methods  Questionnaire was designed according to the work value inventory (WVI) and characteristics of Chinese medical staff. Then 516 staff of a new tertiary grade A hospital in Shanghai were surveyed. The independent sample t test or univariate variance analysis was performed to determine the correlations between the occupational value and demographic variables, including gender, age, position, title, education level, and marital status. Results  The differences of occupational value of medical staff with different genders, education levels, and marital statuses were not statistically significant (P>0.05), but the differences of occupational value of medical staff with different ages, positions, and titles were statistically significant (P<0.05). Conclusion  Demographic variables have certain influence on the occupational value of medical staff. To satisfy the needs of medical staff with different background can maintain the work enthusiasm, improve the work performance, and enhance the quality of medical service.

Key words: occupational values, medical staff, demographic variables