GAMBARAN KESESUAIAN DIAGNOSIS KEPERAWATAN PASIEN DENGAN PRIORITAS 1 BERDASARKAN STANDAR DIAGNOSIS KEPERAWATAN INDONESIA DI INSTALASI GAWAT DARURAT

Background : When there is a discrepancy in the enforcement of nursing diagnoses
based on the patient's clinical findings, it will have a negative impact on the patient,
which will result in worsening health conditions and financial losses, while for
nurses it will have an impact on malpractice law, therefore enforcement of the
correct diagnosis is important. In addition, the finding that there is still enforcement
of nursing diagnoses that are not in accordance with the SDKI is also the basis for
the formulation of the problem in this study.
Objective: The purpose of this study is to find out the picture of the suitability of
patient nursing diagnosis with priority 1 based on SDKI in the emergency room.
Methods: This study is an analytical descriptive design using a cross-sectional
approach, purposive sampling technique on 35 nursing diagnosis samples. Data
collection tools using observation sheets with data analysis using univariate
analysis. The variables measured were data clustering, the amount of diagnostic
validation data, risk factors/causes and priority of nursing diagnostic problems.
Results: The highest age of nurses was early adulthood 27 (77.14%), the most
education was D3 Nursing 25 (71.43%) nurses, the highest career path PK III was
31 (88.57%) nurses, all nurses had never participated in SDKI training, the number
of clustered nursing diagnosis data that was in accordance with SDKI was 32
(91.43%) samples, the number of nursing diagnosis validation data that was in
accordance with SDKI was 11 (31.43%) samples, the number of frequency of risk
factors/causes that were in accordance with SDKI was 26 (74.29%) samples, the
number of priority frequencies of nursing diagnosis problems that are in
accordance with SDKI is 25 (71.43%) samples.
Suggestion: Nurses maintain and improve the quality of nursing diagnosis
enforcement and its documentation. For the next researcher, they should use the
mix method.