4.6 Article

A mixed-mode approach to data collection: combining web and paper questionnaires to examine nurses' attitudes to mental illness

期刊

JOURNAL OF ADVANCED NURSING
卷 66, 期 7, 页码 1623-1632

出版社

WILEY
DOI: 10.1111/j.1365-2648.2010.05357.x

关键词

Community Attitudes towards the Mentally Ill scale; mental illness; mixed-mode approach; nurses; paper questionnaires; web questionnaires

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资金

  1. European Commission [FI-06-B-F-PP-160701]

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Title. A mixed-mode approach to data collection: combining web and paper questionnaires to examine nurses' attitudes to mental illness. Aim. This paper is a report an evaluation of the use of a sequential mixed-mode approach to data collection in a study of attitudes to mental illness and people with mental health problems held by Registered Nurses working in adult acute inpatient and psychiatric intensive care settings. Background. The use of electronic tools for data collection is becoming increasingly common in nursing research. Currently there is a lack of reports of the use of mixed-mode designs featuring both web and paper questionnaires. The efficacy of this approach remains unclear. Method. Web and paper versions of a questionnaire including the Community Attitudes towards the Mentally Ill scale were distributed in 2007 to all 148 Registered Nurses working in acute care settings in an English mental healthcare organization. Results. The mixed-mode design was successful in increasing overall response rate. Data collection mode was indicative of statistically significantly different response rates, but had no impact on differences in nurses' socio-demographic characteristics or attitudes to mental illness. The use of email reminders had a positive impact on the web questionnaire return rate. Conclusion. Future nursing studies could benefit from a mixed-mode study design to attain increased response rates and reduce non-response bias, although further research should be undertaken with larger groups of nurses to verify consistently the absence of mode effect on study outcomes.

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