JMIR Publications

ABSTRACT

Background:

Background:

Advances in health have highlighted the need to implement technologies as a fundamental part of the diagnosis, treatment, and recovery of patients at risk or with health alterations. In this sense, the use of digital platforms has demonstrated its applicability in the identification of care needs.

Objective:

To describe the process of developing a mobile application to validate the nursing diagnosis: intolerance to activity in patients with acute myocardial

Methods:

We described the developing, and pilot testing a mobile system to support data collection for validating a nursing diagnosis. The system comprises a smartphone application designed to gather structured information from patients with acute coronary syndrome for the clinical validation of the nursing diagnosis of activity intolerance. The degree of agreement between the two evaluating nurses was evaluated with the Kappa index.

Results:

An application for the validation of nursing diagnosis was developed in three steps: Operationalization of nursing diagnosis, development of the application and pilot test. The pilot test yielded descriptive data (n=11) such as an average age of 63.2 ± 4.0 years, where 81.8% were men and 18.2% had incomplete primary schooling. The agreement between evaluators was about 80% in most of the defining characteristics. The most prevalent were exercise discomfort (90.9%), electrocardiogram abnormalities (9.1%), abnormal heart rate in response to exercise (20.0%), dyspnoea (27.3%), weakness (63.6%) and abnormal blood pressure in response to activity (10.0%).

Conclusions:

A mobile application was developed for implementation in the validation process of the activity intolerance-nursing diagnosis. Its use will guarantee not only an optimal data collection, minimizing errors to perform validation, but will also allow the identification of individual care needs.