Nursing diagnoses focused on universal self-care requisites

Queirós, Carmen; Silva, Maria Antónia; Cruz, Inês; Cardoso, Alexandrina; Morais, Ernesto

http://hdl.handle.net/10400.26/37666

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Abstract(s)

Aims: (1) To identify and analyse diagnoses documented by nurses in Portugal within the scope of universal self-care requisites; (2) to determine the main problems with nursing diagnoses syntaxes for semantic interoperability purposes; and (3) to suggest unified nursing diagnoses syntaxes within the scope of universal self-care requisites. Background/Introduction: Ageing societies and the increase in chronic diseases have led to significant concern regarding individuals’ dependence to ensure self-care. ICNP is widely used by Portuguese nurses in electronic health records for documentation of nursing diagnoses and interventions. Methods: A qualitative study using inductive content analysis and focus group: 1. nursing e-documentation content analysis and 2. focus group to explore implicit criteria or insights from content analysis results. Results: From a corpus of analysis with 1793 nursing diagnoses, 432 nursing diagnoses centred on universal self-care requisites emerged from the content analysis. One hundred ten nursing diagnoses resulted from the application of new encoding criteria that emerged after a focus group meeting. Conclusion: Results reveal that nursing diagnoses related to universal self-care requisites can emphasize the impairment or potentialities of the individuals performing self-care. It also shows a lack of consensus on nominating the nursing diagnoses of people with a deficit in universal self-care requisites, resulting in different diagnoses to express the same needs. Implications for nursing practice: Representation of most relevant nursing diagnoses within the scope of universal self-care requisites. Implications for health policy: Incorporating standardized language into electronic health records is not enough for improving quality and continuity of care and semantic interoperability achievement. Electronic health records need to work with a nursing ontology in the backend to meet these requirements.