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. 2016 Nov 30;7(4):1107-1119.
doi: 10.4338/ACI-2016-07-RA-0119.

Metrics for Electronic-Nursing-Record-Based Narratives: cross-sectional analysis

Kidong Kim, Suyeon Jeong, Kyogu Lee, Hyeoun-Ae Park, Yul Ha Min, Joo Yun Lee, Yekyung Kim, Sooyoung Yoo, Gippeum Doh, Soyeon Ahn  1
Affiliations

Metrics for Electronic-Nursing-Record-Based Narratives: cross-sectional analysis

Kidong Kim et al. Appl Clin Inform. .

Abstract

Objectives: We aimed to determine the characteristics of quantitative metrics for nursing narratives documented in electronic nursing records and their association with hospital admission traits and diagnoses in a large data set not limited to specific patient events or hypotheses.

Methods: We collected 135,406,873 electronic, structured coded nursing narratives from 231,494 hospital admissions of patients discharged between 2008 and 2012 at a tertiary teaching institution that routinely uses an electronic health records system. The standardized number of nursing narratives (i.e., the total number of nursing narratives divided by the length of the hospital stay) was suggested to integrate the frequency and quantity of nursing documentation.

Results: The standardized number of nursing narratives was higher for patients aged ≥ 70 years (median = 30.2 narratives/day, interquartile range [IQR] = 24.0-39.4 narratives/day), long (≥ 8 days) hospital stays (median = 34.6 narratives/day, IQR = 27.2-43.5 narratives/day), and hospital deaths (median = 59.1 narratives/day, IQR = 47.0-74.8 narratives/day). The standardized number of narratives was higher in "pregnancy, childbirth, and puerperium" (median = 46.5, IQR = 39.0-54.7) and "diseases of the circulatory system" admissions (median = 35.7, IQR = 29.0-43.4).

Conclusions: Diverse hospital admissions can be consistently described with nursing-document-derived metrics for similar hospital admissions and diagnoses. Some areas of hospital admissions may have consistently increasing volumes of nursing documentation across years. Usability of electronic nursing document metrics for evaluating healthcare requires multiple aspects of hospital admissions to be considered.

Keywords: Electronic health records; narrative analysis; narrative evaluation; nursing informatics; nursing records.

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Figures

Fig. 1
Fig. 1
Standardized number of nursing records across various hospital admission characteristics (The dots in the figure represent the proportions of each group except Age groups). Median and interquartile range were displayed.
Fig. 2
Fig. 2
Uniqueness of nursing narratives according to length of stay
See this image and copyright information in PMC

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