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    VALIDITY AND RELIABILITY OF NURSING INTERVENTION CLASSIFICATION: SELF-CARE ASSISTANCE ON PATIENTS WITH STROKE

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    Background: Nursing intervention is part of nursing process. The accurateness of intervention needs to be explored through an effort to measure validity and reliability of the intervention. Objectives: This study aimed to investigate the validity and reliability of four Nursing Intervention Classifications (NICs) of Self-Care Assistance (SCA) on patients with stroke. Methods: Validity measurement involved 4 experts, while reliability involved 7 samples for each NIC. Validity was analyzed using content validity index (I-CVI and S-CVI), while reliability was analyzed using kappa and percent agreement. Results: Sixteen activities of NICs (I-CVI score less than 0.78) were eliminated and two activities considered not applicable. The results of reliability were above 0.85 kappa value with 85% of percent agreement. Conclusion: Elimination of not valid activities increased reliability

    Su Jok Therapy for Managing Chest Pain During COVID-19 Pandemic Period: A Case Report

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    The Covid-19 pandemic has led people who were non-COVID-19 patient to avoid hospital admission and to seek help from alternative medicine. The aim of this report is to describe the management of chest pain at home using Su Jok therapy. Case report: A male 47 of years old complained of chest pain with difficulty breathing and asked for help from the researcher who was a nurse as well as Su Jok therapist. His sclera profile was recorded for analysis (sclerology analysis). Su Jok therapy was applied directly by the researcher on daily basis. Researcher also monitored his condition progress through checking pain point on his hands and also from his sclera profile. After two weeks, the symptoms subsided and the eye’s profile of sclera shows healing progress. Conclusion: The case study shows that Su Jok therapy may become an alternative therapy for managing chest pain

    Komunikasi keperawatan: dasar-dasar komunikasi bagi perawat

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    xii, 160 hlm. : ilus. ; tab. ; 21 cm

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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