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Journal article

Measuring the effects of online health information for patients: item generation for an e-health impact questionnaire.

Abstract:
OBJECTIVE: The internet is a valuable resource for accessing health information and support. We are developing an instrument to assess the effects of websites with experiential and factual health information. This study aimed to inform an item pool for the proposed questionnaire. METHODS: Items were informed through a review of relevant literature and secondary qualitative analysis of 99 narrative interviews relating to patient and carer experiences of health. Statements relating to identified themes were re-cast as questionnaire items and shown for review to an expert panel. Cognitive debrief interviews (n=21) were used to assess items for face and content validity. RESULTS: Eighty-two generic items were identified following secondary qualitative analysis and expert review. Cognitive interviewing confirmed the questionnaire instructions, 62 items and the response options were acceptable to patients and carers. CONCLUSION: Using a clear conceptual basis to inform item generation, 62 items have been identified as suitable to undergo further psychometric testing. PRACTICE IMPLICATIONS: The final questionnaire will initially be used in a randomized controlled trial examining the effects of online patient's experiences. This will inform recommendations on the best way to present patients' experiences within health information websites.
Publication status:
Published

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Publisher copy:
10.1016/j.pec.2013.03.012

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Population Health
Role:
Author


Journal:
Patient education and counseling More from this journal
Volume:
93
Issue:
3
Pages:
433-438
Publication date:
2013-12-01
DOI:
EISSN:
1873-5134
ISSN:
0738-3991


Language:
English
Keywords:
Pubs id:
pubs:395958
UUID:
uuid:f54f3579-4b53-4015-a27a-797403304dce
Local pid:
pubs:395958
Source identifiers:
395958
Deposit date:
2013-11-16
ARK identifier:

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