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Derin ven trombozu olan hastalara verilen hastabakıcılık hizmetlerinin yönetimine ilişkin bir çoklu test yaklaşımı

A new multiple test approach for nursing care administration of deep vein thrombosis patients

Journal Name:

  • İstanbul Üniversitesi İşletme Fakültesi Dergisi

Publication Year:

  • 2011

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In nursing care administration, it is critical to evaluate the risk assessment ability of the nurses for patients at different risk status. For an investigation carried out in the Jobst Vascular Institute at The Toledo Hospital, the nurse risk evaluation necessitates the analysis of risk assessment data for prophylaxis of deep venous thrombosis when comparing nurse risk assessment scores with master scores simultaneously at different risk categories. While conventional statistical methods fail to make any conclusion from the data, we construct a new stepwise confidence procedure that strongly controls the family-wise error rate and successfully detects the difference between the nurse score and the Master score. Compared with existing statistical methods, the new bivariate method is more powerful than the Bonferroni procedure and the Holm's step-down algorithm for this data set. It is also more robust than the Hochberg's step-up approach (which relies on an un-checkable assumption of positive dependence among test statistics to strongly control the family-wise error rate). In the data analysis of patients with deep vein thrombosis, the new method successfully detects the difference between the master risk assessment score and the nurse score, while the conventional statistical methods are unable to make any conclusive statement. The new statistical method is applicable to other fields of administration research simultaneously comparing management performances of two different groups under different scenarios.
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Abstract (Original Language): 
Hastabakıcılık yönetiminde, hemsirelerin farklı risk düzeylerindeki hastaların tasıdıkları riski degerleme becerileri önem arz etmektedir. Toledo Hastanesi Jobst Damar Enstitüsü’nde yürütülen bir arastırma, farklı risk kategorileri için hemsirelerin ve uzmanların risk degerleme puanlarını es zamanlı olarak karsılastırabilmek üzere derin ven trombozunun önlenmesi ile ilgili risk degerleme verilerinin analizini gerektirmistir. Geleneksel istatistik teknikler verilerden herhangi bir sonuç çıkarmada basarısız olurken, yapılandırdıgımız yeni asamalı güven yöntemi alfa hatasını güçlü bir biçimde kontrol altında tutmakta ve hemsireler ile uzmanların puanları arasındaki farkı basarı ile saptamaktadır. Mevcut istatistik teknikler ile kıyaslandıgında, bu yeni iki degiskenli yöntemin, söz konusu veri seti için Bonferroni ve Holm’un basamaklı isleme algoritmasından daha güçlü oldugunu belirtebiliriz. Aynı zamanda Hochberg'in artıs yaklasımından (ki bu yaklasım asamalı hata oranını sıkı kontrol altında tutma amacıyla test istatistikleri arasında sınanamaz bir pozitif bagımlılık varsayımına dayanmaktadır.) da daha saglamdır. Derin ven trombozu olan hastaların verilerinin analizinde, geleneksel istatistik teknikler nihai bir yorum saglayamazken, bu yeni teknik hemsire ve uzman risk degerleme puanları arasındaki farkı basarıyla tayin etmektedir. Önerilen yeni teknik, es zamanlı olarak farklı kosullar altında iki farklı grubun yönetim performanslarını kıyaslamaya yönelik yönetim arastırmalarının diger alanlarına da uyarlanabilir niteliktedir.
FULL TEXT (PDF): 
PDF icon arastirmax-derin-ven-trombozu-olan-hastalara-verilen-hastabakicilik-hizmetlerinin-yonetimine-iliskin-bir-coklu-test-yaklasimi.pdf
  • 1
22-34
  • English

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