Validation of a New Telenursing Questionnaire: Testing the Test

Julio Emilio Marco-Franco, Margarida Reis-Santos, Isabel Barrachina-Martínez, Silvia González- de-Julián and Ramón Camaño-Puig
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Julio Emilio Marco-Franco: Faculty of Nursing and Podiatry, Valencia University, 46010 Valencia, Spain
Margarida Reis-Santos: Center for Health Technology and Services Research, Nursing School of Porto, Abel Salazar Biomedical Sciences Institute, University of Porto, 4200-072 Porto, Portugal
Isabel Barrachina-Martínez: Research Centre for Economics Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
Silvia González- de-Julián: Research Centre for Economics Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
Ramón Camaño-Puig: Faculty of Nursing and Podiatry, Valencia University, 46010 Valencia, Spain

Mathematics, 2022, vol. 10, issue 14, 1-13

Abstract: Background: Existing surveys on telenursing refer to specific areas of nursing after the implementation of a programme, but telenursing in general has not been fully evaluated from a prospective approach. Aim: Design and statistical validation of a telenursing questionnaire. Methods: A new questionnaire was designed with 18 paired (to avoid leading) questions (Likert-5) plus three dichotomous questions (randomly ordered, inspired by existing validated tests) to analyse the dimensions of: acceptance, usefulness and appropriateness of telenursing from the nursing point of view (7 min test). The questionnaire was validated by classical tests and item response tests (Rasch) using six computer-generated databases with different response profiles (tendency to be positioned against, neutral and positioned in favour) with two degrees of agreement between each pair of responses for each option. Results: Classical testing: Cronbach’s alphas (from 0.8 to 0.95), Kaiser–Meyer–Olkin (KMO) (0.93 to 0.95) and a significant p < 0.0001 for Bartlett’s test of sphericity were obtained. Rasch analysis: Reliability coefficients (0.94). Warm’s mean weighted likelihood estimates (0.94). Extreme infit-t and outfit-t values (+1.61 to −1.98). Conclusions: Both the classical test and the Rasch approaches confirm the usefulness of the new test for assessing nurses’ positioning in relation to telenursing.

Keywords: telenursing; assessment instrument; Rasch model; joint maximum likelihood estimation; questionnaire; survey; e-nursing; digital nursing (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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