Aim The aim of this study was to identify factors that indicate quality in telephone nursing. Design An integrative literature review. Method A literature search was performed in October 2018, in the PubMed, CINAHL, Cochrane Library, Academic Search, PsycINFO, Scopus and Web of Science databases. A total of 30 included were included and data that corresponded to the study's aim were extracted and categorized along the three areas of quality as described by Donabedian (Milbank Quarterly, 83, 691), namely structure, process and outcome. Results The analysis revealed ten factors indicating quality in telephone nursing (TN): availability and simplicity of the service, sustainable working conditions, specialist education and TN experience, healthcare resources and organization, good communication, person‐centredness, competence, correct and safe care, efficiency and satisfaction. TN services need to target all ten factors to ensure that the care given is of high quality and able to meet today's requirements for the service.

Receiving self-care advice rather than referral to a general practitioner influences patient satisfaction negatively. Feeling reassured after consultation is strongly related to satisfaction, which in turn has been found to increase the likelihood of engaging in self-care behaviour.

The needs of nursing care may persist despite the absence of medical needs. The encounter between the nurse and care-seeker is a unique possibility for reassurance and confidence that a minor illness is self-limiting in its nature, and self-care interventions provide relief and comfort.

Background: Understanding and interpreting the complexity of agitation in people with dementia is challenging. Objective: To explore whether a sensor measuring electrodermal activity (EDA) can improve the identification of agitation in individuals with dementia. Methods: Nine individuals with dementia wore a sensor that measured EDA. During the same time, assistant nurses annotated the observed behavior of the person with dementia. A binary logistic regression model was applied to assess the relationship between the sensor and the assistant nurses’ structured observations of agitation. Results: The sensor values correlated with the assistant nurses’ observations both at the time of the observation and 1 and 2 h prior to the observation. Conclusion: A sensor measuring EDA can support early detection of agitation in persons with dementia.

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