Purpose: To analyze the impact of an online training intervention on primary healthcare professionals in Tenerife (Canary Islands, Spain), evaluating the perceived knowledge about prevention and control of SARS-CoV-2 infection using the NOC outcome "Knowledge: Infection management" [1842]. Methods: Quasi-experimental design with prepost analysis of 12 indicators. The participants were the 705 primary healthcare professionals, both healthcare professionals and nonhealthcare professionals, who completed the online training program prepared and implemented by nurses in the teaching and research fields between May and July 2020.The change in the perceived level of knowledge before and after, as well as other associations between this knowledge and the other variables included in the study, were confirmed. Findings:The results of the study describe significant differences in the change between pre-and posttraining for all indicators included in the comparison. Conclusions: This research shows the effectiveness of an online training program, appropriate for the need for social distancing required by the pandemic, in improving the knowledge of primary healthcare professionals about prevention and control of COVID-19. It also describes a new context for the use of the Nursing Outcomes Classification (NOC) through a training program organized and led by nurses.Implications for nursing practice: Our results suggest that the NOC classification is useful for assessing perceived knowledge about prevention and control of SARS-CoV-2 infection in the community among primary healthcare professionals. This study also provides evidence of the effectiveness of a nurse-led, nurse-designed online training intervention.To this end, the outcome criterion "Knowledge: Infection management" [1842] was used

PURPOSETo determine the psychometric properties of the CoNOCidiet‐Diabetes, a new instrument based on nursing outcome “Knowledge: prescribed diet.”METHODSMethodological design. The participant were 359 patients diagnosed with diabetes visiting 27 primary healthcare centers in Spain. Reliability (internal consistency and test‐retest), validity (convergent criterion validity, concurrent content validity and known‐groups validity), and sensitivity to change was tested.FINDINGSCoNOCidiet‐Diabetes has shown evidence of acceptable psychometric properties as instrument but some items should be revised.CONCLUSIONSThis research provides a new instrument developed to specifically measure dietary knowledge in individuals with diabetes.IMPLICATIONSFor nursing practice: The literalness of the CoNOCidiet‐Diabetes with the nursing outcome “Knowledge: prescribed diet” facilitate its measurement using the patient's statements.

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Purpose To assess the association between vulnerable populations and nursing care needs, using NANDA‐I diagnostics, in the population of the Canary Islands, Spain. Methods Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA‐I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow‐up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the “ICE index” to calculate the expected associations. Findings The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self‐management (33.8%) and Risk‐prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio‐economically disadvantaged social class. Conclusions : The cross‐mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA‐I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain). Implications for nursing practice From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.