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International Nursing

Intervention Linkages for Inpatients in Gynecology Department Nursing Units
Min Ji Yang,1 and Hye Young Kim2
1Chonbuk National University Hospital, Jeonju, Korea.
2College of Nursing · Research Institute of Nursing Science, Chonbuk National University, Jeonju, Korea.
Corresponding author: Kim, Hye Young. College of Nursing, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju 54896, Korea. Tel: +82-63-270-4618, Fax: +82-63-270-3127, Email: tcellkim@jbnu.ac.kr

Received May 25, 2016; Revised July 14, 2016; Accepted August 02, 2016.

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract
Purpose
The aim of this study was to identify the nursing diagnosis-outcome-intervention (NANDA-NOC-NIC) linkages for gynecology inpatients shown in their electronic nursing records.

Methods
This retrospective and descriptive research was conducted in two steps and based on the 287 electronic nursing records for 253 patients. First, nursing diagnoses, outcomes and interventions were collected. To identify major nursing diagnoses, a comparison was done with the top 10 nursing diagnoses from this research and with previous research selected using a content validity index developed by a team of professionals. Second, nursing outcomes and interventions that were associated with major nursing diagnoses were identified.

Results
Nineteen nursing diagnoses, 12 nursing outcomes, and 40 nursing interventions were collected. The top 5 major nursing diagnoses were identified and 7 nursing outcomes and 18 nursing interventions associated with these diagnoses were checked.

Conclusion
The identified NANDA-NOC-NIC linkages can contribute to improving nursing practice and will help in the establishment of standardized nursing care.

Keywords: Nursing process; Gynecology department; Inpatient

Tables
Table 1
Demographic Characteristics of Patients Nursing Record in Gynecology Department Nursing Unit
Variables Categories n (%) M±SD Range
Age (year) 20~29 39 (13.6) 44.99±13.55 20~84
30~39 58 (20.2)
40~49 106 (36.9)
50~59 39 (13.6)
≥60 45 (15.7)
Marriage status Married 235 (81.9)
Non-married 38 (13.2)
Others 14 (4.9)
Occupation Yes 155 (54.0)
No 132 (46.0)
Education ≥Middle school 61 (21.2)
High school 121 (42.2)
≤College 105 (36.6)
Religion Yes 145 (50.5)
No 142 (49.5)
Length of stay in hospital (day) 6.42±3.65 3~41
Medical diagnosis Uterine myoma 90 (31.4)
Cancer (cervix, ovary, endometrium) 51 (17.8)
Ovarian cyst 29 (10.1)
Adxetal tumor 19 (6.6)
Uterine prolapse 16 (5.6)
Ectopic pregnancy 15 (5.3)
Inflammatory disease 15 (5.3)
Endometrioma 15 (5.3)
Adenomyosis 13 (4.5)
Others 24 (8.1)
Type of surgery (n=212) Hysterectomy 80 (27.9)
Myomectomy 40 (14.0)
Cystectomy 33 (11.5)
Adnexectomy 15 (5.2)
Colporrhaphy 14 (4.9)
Salpingectomy 13 (4.5)
Polypectomy 10 (3.5)
Oophorectomy 2 (0.7)
Others 5 (1.7)
Table 2
Nursing Diagnosis Used in Gynecology Department Nursing Unit
Domains Classes Nursing diagnosis n (%) Rank
Comfort Physical comfort Acute pain† 2,168 (53.2) 1
Nausea 2 (0.0) 16
Safety/protection Infection Risk for infection† 1,114 (27.3) 2
Physical injury Risk for injury† 11 (0.3) 9
Risk for falls 7 (0.2) 11
Risk for bleeding 6 (0.2) 12
Impaired skin integrity 5 (0.1) 13
Risk for vascular trauma 2 (0.0) 16
Thermoregulation Hyperthermia† 24 (0.6) 6
Perception/cognition Cognition Deficient of knowledge† 595 (14.6) 3
Nutrition Hydration Risk for imbalanced fluid volume† 40 (1.0) 5
Deficit fluid volume† 19 (0.5) 7
Ingestion Imbalanced nutrition : less than body requirements 2 (0.0) 16
Elimination and exchange Urinary function Urinary retention† 52 (1.3) 4
Impaired urinary elimination† 14 (0.3) 8
Function urinary incontinence 1 (0.0) 19
Gastrointestinal function Constipation† 8 (0.2) 10
Diarrhea 4 (0.1) 15
Activity/rest Cardiovascular/pulmonary responses Ineffective breathing pattern 5 (0.1) 13
†The ten most nursing diagnoses.