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Validation of a New Telenursing Questionnaire: Testing the Test

Author

Listed:
  • Julio Emilio Marco-Franco

    (Faculty of Nursing and Podiatry, Valencia University, 46010 Valencia, Spain
    Research Centre for Economics Engineering, Universitat Politècnica de València, 46022 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)

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.

Suggested Citation

  • Julio Emilio Marco-Franco & Margarida Reis-Santos & Isabel Barrachina-Martínez & Silvia González-de-Julián & Ramón Camaño-Puig, 2022. "Validation of a New Telenursing Questionnaire: Testing the Test," Mathematics, MDPI, vol. 10(14), pages 1-13, July.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2463-:d:863315
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