Knowledge Discovery in Nursing Minimum Data Set Using Data Mining

Park, Myonghwa; Park, Jeong Sook; Kim, Chong Nam; Park, Kyung Min; Kwon, Young Sook

doi:10.4040/jkan.2006.36.4.652

Cited by 11 publications

(5 citation statements)

References 15 publications

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Section: Discussionmentioning

confidence: 99%

“…In the past, a few studies in the literature have analyzed the prevalence of NDs in large samples. However, these studies considered mixed samples from surgical and medical settings (D'Agostino et al, 2017; D'Agostino et al, 2019; Feng & Chang, 2015; Halloran & Kiley, 1987; O'Brien-Pallas et al, 2010; Park et al, 2006; Welton & Halloran, 2005). Other studies on this topic only considered specialized surgical settings (da Rocha et al, 2006; Ferreira et al, 2014; Flanagan & Jones, 2009; Moreira et al, 2013; Nunes do Nascimento et al, 2020), smaller samples, or unspecified SNTs (Tuncbilek & Senol Celik, 2016).…”

Section: Discussionmentioning

confidence: 99%

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Standardized Nursing Diagnoses in a Surgical Hospital Setting: A Retrospective Study Based on Electronic Health Data

et al. 2023

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Introduction In electronic health records (EHRs), standardized nursing terminologies (SNTs), such as nursing diagnoses (NDs), are needed to demonstrate the impact of nursing care on patient outcomes. Unfortunately, the use of NDs is not common in clinical practice, especially in surgical settings, and is rarely included in EHRs. Objective(s) The aim of the study was to describe the prevalence and trend of NDs in a hospital surgical setting by also analyzing the relationship between NDs and hospital outcomes. Methods A retrospective study was conducted. All adult inpatients consecutively admitted to one of the 15 surgical inpatient units of an Italian university hospital across 1 year were included. Data, including the Professional Assessment Instrument and the Hospital Discharge Register, were collected retrospectively from the hospital's EHRs. Results The sample included 5,027 surgical inpatients. There was a mean of 6.3 ± 4.3 NDs per patient. The average distribution of NDs showed a stable trend throughout the year. The most representative NANDA-I ND domain was safety/protection. The total number of NDs on admission was significantly higher for patient whose length of stay was longer. A statistically significant correlation was observed between the number of NDs on admission and the number of intra-hospital patient transfers. Additionally, the mean number of NDs on admission was higher for patients who were later transferred to an intensive care unit compared to those who were not transferred. Conclusion NDs represent the key to understanding the contribution of nurses in the surgical setting. NDs collected upon admission can represent a prognostic factor related to the hospital's key outcomes.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Standardized Nursing Diagnoses in a Surgical Hospital Setting: A Retrospective Study Based on Electronic Health Data

et al. 2023

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“…A shortage of solid knowledge exists regarding the prevalence and distribution of patient needs among clinical settings and diseases. Only a few studies have been based on large hospital databases that included nursing diagnostic data (Halloran & Kiley 1987, Rosenthal et al 1995, Welton & Halloran 2005, Park et al 2006, O'Brien-Pallas et al 2010, Feng & Chang 2015. Nonetheless, studies such as these are central to improving the knowledge on the epidemiology of NDs.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of nursing diagnoses as a measure of nursing complexity in a hospital setting

D’Agostino

Sanson

Cocchieri

et al. 2017

Journal of Advanced Nursing

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“…NMDS from other countries have also been used to answer comparable analysis questions, such as to illustrate the differences in patient populations and variations in nursing activities [ 34 ], to describe the frequency of intravenous medications [ 35 ], to support the implementation of measures regarding quality assurance and patient safety [ 36 ], or to describe the characteristics of hospitalized older patients with dementia [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

Implementation of the Austrian Nursing Minimum Data Set (NMDS-AT): A Feasibility Study

Ranegger

Hackl

Ammenwerth

2015

BMC Med Inform Decis Mak

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BackgroundAn Austrian Nursing Minimum Data Set (NMDS-AT) has been developed to describe the diversity of patient populations and variability of nursing care based on nursing diagnoses, nursing interventions, and nursing outcomes. The aim of this study is to test the feasibility of using this NMDS-AT by assessing the availability of data needed for the NMDS-AT in routine nursing documentation, and to assess its reliability and usefulness.MethodsData were collected in a general hospital from patient records of 20 patients representing 457 patient days. Availability of needed data was assessed by two raters in a chart review based on an NMDS-AT form. The interrater reliability (n = 20) and intrarater reliability (n = 5) was assessed using Cohen’s kappa coefficient and intraclass correlation coefficient (ICC). Usefulness was assessed by verifying whether typical analysis questions can be answered by the documented NMDS-AT data.ResultsIn the 20 patient records, thirteen nursing diagnoses, 50 nursing interventions, and five nursing outcomes occurred, representing 68 (58.6 %) of the overall 116 data elements of the NMDS-AT. The data were found at different data sources (e.g., electronic nursing record or paper-based fever chart) and in various forms (e.g., standardized or free text).The interrater reliability of the thirteen nursing diagnoses showed kappa values (percentage of agreement) ranging from 0.35 (85 %) to 1.00 (100 %). The 50 nursing interventions showed ICCs ranging from 0.03 to 1.00. All nursing outcomes showed an ICC of 1.00. The intrarater reliability showed 100 % agreement. Performing typical analysis questions showed that the extracted NMDS-AT data are able to answer questions of clinical management, of policy makers, and of nursing science.ConclusionsThe NMDS-AT was found to be feasible: needed data was available in the analysed patient records, data extraction showed good reliability, and typical analysis could be performed and showed interesting results. Before the NMDS-AT can be introduced in healthcare institutions, the following challenges need to be addressed: 1. improve the quality of nursing documentation; 2. reduce fragmentation of documentation; 3. use a standardized nursing classification system; and 4. establish mappings between nursing classification systems and the NMDS-AT.

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Knowledge Discovery in Nursing Minimum Data Set Using Data Mining

Abstract: This study demonstrated the utilization of data mining method through a large data set with standardized language format to identify the contribution of nursing care to patient's health.

Cited by 11 publications

References 15 publications

Standardized Nursing Diagnoses in a Surgical Hospital Setting: A Retrospective Study Based on Electronic Health Data

Standardized Nursing Diagnoses in a Surgical Hospital Setting: A Retrospective Study Based on Electronic Health Data

Prevalence of nursing diagnoses as a measure of nursing complexity in a hospital setting

Implementation of the Austrian Nursing Minimum Data Set (NMDS-AT): A Feasibility Study

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