FACTORS SHAPING RURAL HOSPITAL MANAGED CARE STRATEGIES
FACTORS SHAPING RURAL HOSPITAL MANAGED CARE STRATEGIES
批准号:
2718630
负责人:
ASTRID KNOTT
金额:
$3.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-08-01 至 1998-09-30
中文摘要
这项研究分析了管理型医疗的流行率
中西部两个州的乡村医院感染。自托管以来
护理在大多数农村地区是一个相对较新的现象,其
农村的发展不同于城市的发展,
这项研究为当前农村卫生保健提供了洞察力
环境和正在进行的变化影响了很大一部分地区
人口。
这项研究将确定环境和组织因素,
不同类型管理的乡村医疗机构敬业度预测
护理安排。因此,一个主要的焦点是战略定位。
由迈尔斯和斯诺的战略类型(迈尔斯)衡量的医院
和斯诺,1978)。
数据是通过对乡村医院首席执行官的调查收集的
爱荷华州和内布拉斯加州的警察。该调查包含以下信息
医院服务领域的特点、管理性护理活动
以及医院的战略定位。
因变量是从事特定工作的可能性
管理型医疗保健战略。三组不同的因变量是
使用:与管理保健组织的合同安排,当前
由医院发展管理型护理组织,以及所有权
管理型医疗组织。
受访者和非受访者将使用卡方检验进行比较。
数据分析采用Logistic回归分析。独立模特将
对每个不同的因变量运行。
英文摘要
This study provides an analysis of the prevalence of managed care
contracting by rural hospitals in two Midwestern states. Since managed
care is a relatively new phenomenon in most rural areas and its
development in rural areas differs from the development in urban areas,
this study provides insights into the current rural health care
environment and the ongoing changes affecting a substantial part of the
population.
The study will identify environmental and organizational factors that
predict the engagement of rural hospitals in different types of managed
care arrangements. A major focus thereby is the strategic orientation
of the hospital as measured by Miles and Snow's strategic types (Miles
and Snow, 1978).
Data were collected through a survey of rural hospital chief executive
officers in Iowa and Nebraska. The survey contains information on
characteristics of the hospital service area, managed care activities
of the hospital, and the strategic orientation of the hospital.
The dependent variable is the likelihood of engaging in a specific
managed care strategy. Three different sets of dependent variables are
used: contractual arrangements with managed care organizations, current
development of managed care organizations by the hospital, and ownership
of managed care organizations.
Respondents and nonrespondents will be compared using Chi-square tests.
Logistic regression is used to analyze the data. Independent models will
be run for each of the different dependent variables.
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