The Study of the Relationship Between Patient Status Indicators and Patient’s Care Time Using Multilevel Analysis

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<p> Background: Nursing activity should be evaluated from the viewpoint of the balance of “patient’s demand” and “nursing supply.” In this study, the relationship between nursing care time and the patient’s condition was investigated by Multilevel analysis.</p><p> Method: The patient’s condition is thought to reflect the “patient’s demand” and is classified into two groups, “human needs originated patient’s condition (HNOPC)” and “medical treatment originated patient’s condition (MTOPC).” Time-motion study data of nursing care were used as “nursing supply,” from an investigation conducted for 15 days in an acute-care and surgical ward of a university hospital in July 1999 and August 2000. At the same time, inpatient’s information on HNOPC and MTOPC were collected for all of the evaluated patients in the ward. Multilevel analysis was applied to examine which group of patient’s conditions would have more effect on patient’s care time. Furthermore, the number of “postoperative days” was employed as the predictor variable because it was an important factor that effected “patient’s demand” and “nursing supply” in the surgical ward. The model selection was done by Akaike’s Information Criteria (AIC).</p><p> Results and Discussions: The MTOPC group showed a stronger influence on patient’s care time than the HNOPC group. The most effective items were [impaired verbal communication] in HNOPC and [move-in] in MTOPC. The effect of “postoperative days” on the patient’s care time was not so large. The statistically significant coefficients of each model showed good agreement with clinical knowledge.</p>

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  • 医療情報学

    医療情報学 22 (5), 367-375, 2002

    一般社団法人 日本医療情報学会

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