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Health Expectations
Article . 2022 . Peer-reviewed
License: CC BY
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Article . 2022
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Health Expectations
Article . 2022
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Development and psychometric testing of the patient participation in bedside handover survey

Authors: Georgia Tobiano; Andrea P. Marshall; Therese Gardiner; Kim Jenkinson; Margaret Shapiro; Michael Ireland;

Development and psychometric testing of the patient participation in bedside handover survey

Abstract

AbstractIntroductionWhen handover is conducted at the patient's bedside, active patient participation can be encouraged, which may improve the safety and quality of care. There is a need for valid and reliable tools to measure patient perceptions of participation in bedside handover, to ensure the rising number of implementation and improvement efforts are consistently and effectively evaluated. The aim of this study is to systematically develop and evaluate the psychometric properties of a self‐report survey to measure patients' perceptions of participation in bedside handover.MethodsIn Phase 1, our team developed a conceptual framework and item pool (n = 130). In Phase 2, content validity was assessed with four health consumers, four nurses and four researchers. Next, 10 current hospital inpatients tested the survey for end‐user satisfaction. In Phase 3, 326 inpatients completed the survey, allowing exploratory factor analysis, reliability analyses and convergent/divergent validity analyses to occur.ResultsPhase 1 and 2 resulted in a 42‐item survey. In Phase 3, 321 surveys were available for analysis. Exploratory factor analysis revealed a three‐factor solution, with 24 items, which matched our conceptual framework. The three factors were: ‘Conditions for patient participation in bedside handover’, ‘Level of patient participation in bedside handover’ and ‘Evaluation of patient participation in bedside handover’. There was strong evidence for factor reliability and validity. Additionally, the correlation between factors was strong.ConclusionThis study furthers our conceptual understanding by showing that nurse facilitating behaviours are a strong precursor for patient participation and perceived handover outcomes, justifying the need for nursing training. A robust survey has been developed to measure patient perceptions of participation in bedside handover, which can effectively evaluate this approach to care. Engaging consumers and nurses as research team members was invaluable in ensuring that the survey is acceptable for end‐users.Patient or Public ContributionA health consumer and nurse partnered as members of the research team from study inception to dissemination.

Country
Australia
Keywords

psychometrics, Medicine (General), Psychometrics, 610, bedside handover, Environmental & Occupational Health, nurse–patient relations, R5-920, Surveys and Questionnaires, 616, Health services and systems, Humans, patient‐centred care, Public health, Science & Technology, Patient Handoff, Reproducibility of Results, Public, patient handoff, Health Care Sciences & Services, patient-centred care, surveys and questionnaires, Health Policy & Services, patient participation, Public aspects of medicine, RA1-1270, Patient Participation, Life Sciences & Biomedicine, Regular Articles

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold