Aim: The aim of the study was to conduct content validation of selected NANDA International diagnoses for an Interdisciplinary Intensive Care Unit (IICU), and to identify the degree of diagnostic significance of their selected defining characteristics and relevant or risk factors. Design: Descriptive study. Methods: The set of NANDA International diagnoses and selected characteristics for validation was compiled using the following methods: 1) Content analysis of a form for planning nursing care at the IICU, Nový Jičín Hospital; 2) Literature search and selection of diagnoses from the studies found; and 3) Consensus between two experts. Subsequently, 32 nursing diagnoses with 100 defining characteristics, 72 related factors and 73 risk factors were included in the study (i.e., a total of 245 characteristic signs). The sample of clinical experts conducting the validation consisted of 17 general nurses from the participating department. Fehring's Diagnostic Content Validation (DCV) tool was used. Results: Total DCV score > 0.6 was identified in 16 nursing diagnoses, while values below 0.6 were calculated for the same number of validated diagnoses. The number of major characteristics of diagnoses (DCV ≥ 0.80) was 28. The number of minor characteristics (DCV 0.79-0.51) was 176, while 41 nursing characteristics of nursing diagnoses were considered diagnostically insignificant (DCV < 0.5). Conclusion: On the basis of the validation study results, 16 nursing NANDA International diagnoses with 102 valid diagnostic characteristics were recommended for nursing diagnostics in lucid adult patients at the IICU, Nový Jičín Hospital.

Background: Sleep disorders are very frequent among all intensive care unit patients, and disturbed sleep quality has clear and straightforward negative consequences for patients' recovery and level of distress. To promote sleep, nurses must have instruments for observing and evaluating patients' sleep. Objective: The objective of the research was to determine the internal consistency of the Richards-Campbell Sleep Questionnaire (RCSQ) and to compare the selected relationships between the variables (gender, age, type of admission) in the Czech clinical environment of the intensive care unit. Design: Cross-sectional study. Methods: The RCSQ has been translated according to the translation and cultural adaptation manual. The quality of sleep was assessed using the Czech version of the RCSQ. The sample consisted of 105 patients hospitalised in an interdisciplinary intensive care unit. The quality of sleep was measured using a visual analogue scale (0-100). Results: The internal consistency (Cronbach's α) of the Czech version of the RCSQ is 0.89. The average RCSQ score in the sample was 53.2 (SD 20.1). Return to sleep was the lowest rated item at 51 (SD 24.2), while sleep quality was the highest rated item at 55.6 (SD 26.4). There was no statistically significant relationship (p < 0.05) between sleep quality and selected variables: age (F = 0.1; p = 0.736), gender (F = 0; p = 0.929), type of admission (F = 1.8; p = 0.183). Conclusions:The study demonstrates that the Czech version of the RCSQ is rated as a reliable tool and can be used to subjectively assess sleep quality in critically ill patients. The association between sleep quality and selected variables has not been statistically proven and its perception is very individual. Original research article Reliabilita české verze Richards-Campbell Sleep dotazníku SouhrnCíl: Cílem výzkumu bylo určit míru vnitřní konzistence Richards-Campbell Sleep Questionnaire (RCSQ) a porovnat vytipované vztahy mezi proměnnými (pohlaví, věk, druh přijetí) v českém klinickém prostředí jednotky intenzivní péče. Design: průřezová studie. Metodika: RCSQ byl přeložen podle manuálu pro překlad a kulturní adaptaci. Hodnocení kvality spánku bylo zjišťováno pomocí české verze RCSQ. Soubor tvořilo 105 pacientů hospitalizovaných na mezioborové jednotce intenzivní péče. Hodnocení kvality spánku bylo měřeno pomocí vizuální analogové škály (0-100). Výsledky: Průměrné skóre RCSQ v souboru bylo 53.2 (SD 20.1). Nejníže hodnocenou položkou bylo opětovné usínání po probuzení -51 (SD 24.2), naopak nejlépe hodnocenou položkou byla kvalita spánku -55.6 (SD 26.4). Vnitřní konzistence (Cronbachova α) české verze RCSQ je 0.89. Nebyl potvrzen statisticky signifikantní vztah (p < 0.05) mezi kvalitou spánku a vytipovanými proměnnými: věk (F = 0.1, p = 0.736), pohlaví (F = 0, p = 0.929), druh přijetí (F = 1.8, p = 0.183). Závěr: Studie demonstruje, že RCSQ v české verzi je hodnocen jako spolehlivý nástroj a může být používán k subjektivnímu hodnocení kvality spánku u kriticky nemocných. Asociace mezi kvalitou sp...

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Aim: To summarize relevant information on the creation and validation of the Quality of Nursing Diagnoses, Interventions and Outcomes (Q-DIO) assessment instrument. Design: A literature review. Methods: To search for studies, the first two steps of a standard evidence-based healthcare approach were used: 1) formulation of a search question and 2) structured documented search including assessment of the relevance of abstracts and full text of studies to the search question and inclusion criteria. In relevant studies, the level of evidence was evaluated using the Joanna Briggs Institute categories. Results: Out of 212 results of two-step search in scholarly databases and grey literature sources, only three literature resources were relevant. The newly developed Q-DIO instrument was assessed by its authors using content and face validation (100% consensus of experts and 88.25% agreement), intrarater (r = 0.98; p < 0.0001; κ = 0.95; p < 0.0001) and interrater reliability (r = 0.99; p < 0.0001, κ = 0.95; p < 0.0001) and internal consistency of the concepts of the instrument (Cα = 0.83; Cα = 0.98; Cα = 0.90; Cα = 0.99). Item analysis was carried out to determine both difficulty and discriminative validity of the items. Conclusion: Q-DIO was by the authors marked as valid assessment instrument by its authors. However, since the assessed instrument items are formulated without identifying currently valid NNN nomenclature terminology, they should be specified prior to a particular assessment of the quality of nursing documentation.

Aim. 1. Implement repeated validation of three NANDA International nursing diagnoses before and after their experimental classification in daily nursing practice at an intensive care unit for adults, at a medium-sized hospital. 2. Identify statistically significant differences in Diagnostic Content Validation (DCV) values between the two validations.Material and methods. Fehring’s DCV model was used for validation of NANDA International diagnoses. The sample of assessors consisted of 33 experts in the first stage and of 31 experts in the second stage, the experts were in both cases ICU nurses. Nursing diagnoses were experimentally applied in practice for 3 months. The data were processed using descriptive statistics, Wilcoxon matched pairs test and paired t-test.Results. Total DCV scores of diagnoses after the first validation: Impaired gas exchange 00030 with DCV 0.67; Risk for disuse syndrome 00040 with DCV 0.69 and Risk for aspiration 00039 with DCV 0.73. The DCV values after the second validation were as follows: 0.63; 0.64 and 0.78 respectively.Conclusions. Nursing diagnoses: Impaired gas exchange 00030, Risk for disuse syndrome 00040 and Risk for aspiration 00039 are valid for nursing diagnostics of adult lucid postoperative intensive care unit patients at a medium-sized hospital.