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Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863952/ https://www.ncbi.nlm.nih.gov/pubmed/23598293 http://dx.doi.org/10.1016/j.pec.2013.03.012 |
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author | Kelly, Laura Jenkinson, Crispin Ziebland, Sue |
author_facet | Kelly, Laura Jenkinson, Crispin Ziebland, Sue |
author_sort | Kelly, Laura |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3863952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-38639522013-12-17 Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire Kelly, Laura Jenkinson, Crispin Ziebland, Sue Patient Educ Couns Article 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. Elsevier 2013-12 /pmc/articles/PMC3863952/ /pubmed/23598293 http://dx.doi.org/10.1016/j.pec.2013.03.012 Text en © 2013 Elsevier Ireland Ltd. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license |
spellingShingle | Article Kelly, Laura Jenkinson, Crispin Ziebland, Sue Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire |
title | Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire |
title_full | Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire |
title_fullStr | Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire |
title_full_unstemmed | Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire |
title_short | Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire |
title_sort | measuring the effects of online health information for patients: item generation for an e-health impact questionnaire |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863952/ https://www.ncbi.nlm.nih.gov/pubmed/23598293 http://dx.doi.org/10.1016/j.pec.2013.03.012 |
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