[논문]의료과오를 줄이기 위한 효율적인 병원서비스운영에 대한 실증적 연구

이돈희; 최강화

[국내논문] 의료과오를 줄이기 위한 효율적인 병원서비스운영에 대한 실증적 연구
An Empirical Study on the Efficient Hospital Service Operation Management for the Reduction of Medical Errors 원문보기

品質經營學會誌 = Journal of Korean society for quality management, v.38 no.4, 2010년, pp.491 - 503

Abstract ▼ AI-Helper

This paper presents a research model, which identifies a relationship between medical error reduction, efficiency of organizational systems, and employee satisfaction with organizational support. The proposed model was tested through hypotheses, based on data collected from 210 respondents from the medical staff of large -sized (i.e., more than 500 beds) residential hospitals in cities of South Korea. The results of the study showed that medical error reduction is associated with corrective system and employee satisfaction with organizational support. Therefore, it is very important that organizations improve their employees' satisfaction by providing sufficient support (e.g., information support and sharing, work guide book, etc.) for their work. In addition, in organizational systems, the corrective system has positive relationship with medical error reduction. In terms of corrective procedures, leaders or managers can make improvements by providing and supporting a friendly work environment where errors may be reported without blame and discussed in order to be corrected.

주제어

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문제 정의

This study focuses on the relationship between medical error reduction, organizational systems, and employee satisfaction with organizational support. This study proposes a research model to reduce medical errors based on previous studies.
2007, Leape 1997, Chung and Lee 2005). This study showed that medical error reduction is associated with employee satisfaction with organizational support. This seems reasonable in that the various efforts to reduce medical errors are related to the activities of medical manpower.

가설 설정

There are some limitations of the study. First, this study assumed that organizational systems used in each hospital are basically the same. Second, the survey data used in this study were collected from large sized residential hospitals in cities of South Korea.
H1: The preventive system will positively affect medical error reduction.
H2: The corrective system will positively affect medical error reduction.
H3: Effective communication will positively af fect medical error reduction.
H4: A supportive work environment will posi tively affect the medical error reduction.

제안 방법

A survey questionnaire was developed to collect data in large-sized (i.e., more than 500 beds) resi-dential hospitals in cities of South Korea and to test the proposed model. An initial questionnaire was tested in a pilot survey; we sent it to three departments in one of the hospitals in South Korea.
Efforts to reduce medical errors in the health care system have continued through the world in hospitals and related institutions. Our study proposed a research model to describe how organizational systems and employee satisfaction with organizational support influence medical error reduction in hospitals. This model was tested using four hypotheses and data from 210 respondents from large sized residential hospitals in cities of South Korea.
In selecting a rotation strategy for factory analysis, Varimax rotation was used as most variables used in the current study were from previous studies and the factors were correlated with one another. Overall, the loadings of the items for the five factors pro-vided support for the constructs as formulated.
The questionnaire utilized 5-point Likert scales to collect measures for the main constructs. Scales to measure each of the constructs were developed based on the scales of prior studies as much as possible.
This study focuses on the relationship between medical error reduction, organizational systems, and employee satisfaction with organizational support. This study proposes a research model to reduce medical errors based on previous studies. Survey data are collected and analyzed from hospital employees.

대상 데이터

, more than 500 beds) resi-dential hospitals in cities of South Korea and to test the proposed model. An initial questionnaire was tested in a pilot survey; we sent it to three departments in one of the hospitals in South Korea. In the pilot survey, we reduced the number of mea surement items of the organizational system (e.
First, this study assumed that organizational systems used in each hospital are basically the same. Second, the survey data used in this study were collected from large sized residential hospitals in cities of South Korea. Nevertheless, this empirical study provides evidence between medical error reduction and employee satisfaction with organizational support including organizational systems.
Our study proposed a research model to describe how organizational systems and employee satisfaction with organizational support influence medical error reduction in hospitals. This model was tested using four hypotheses and data from 210 respondents from large sized residential hospitals in cities of South Korea.

데이터처리

Linear regression analysis was used to test the hypotheses of the model using the SPSS 15.0. Three major assumptions (normality, linearity, and multicollinearity) of multiple regression were tested: As shown in Table 4, the tolerance value for each independent variable is ranged from .

이론/모형

On the other hand, knowledge-related benefit variables include an increased understand ing of errors and increased awareness of errors. In this study, the measurement items of medical error reduction outcomes are developed based on the measurements of Stock et al., (2007).

성능/효과

8 billion and resulted in 238,337 potentially preventable deaths during 2004 through 2006. Interestin gly, the report indicated that those patients treated at the top performing hospitals had, on average, a 43 percent lower chance of experiencing one or more medical errors as compared to the poorest-performing hospitals.
Second, in organizational systems, the corrective system has a positive relationship with medical error reduction, but preventive system showed no significant relationship in the study. However, the preventive and corrective systems of profess ional practice reduce medical errors and improve quality of care (Leape, 1997; Bates et al.
0. Three major assumptions (normality, linearity, and multicollinearity) of multiple regression were tested: As shown in Table 4, the tolerance value for each independent variable is ranged from .691 to .725 ,which is not less than .10 (recommend) there fore, the model has not violated the multicollinea rity assumption). This is also supported by the VIF value, which is from 1.

후속연구

8 point on the x axis. This may be a cause for concern and may need to be investigated further. That being said, there are no extreme values from the plot above to cause an extreme concern.

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저자의 다른 논문 :

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