Development and preliminarily validation of the Complementary Medicine Disclosure Index.

McIntyre, E; Foley, H; Diezel, H; Harnett, J; Adams, J; Sibritt, D; Steel, A

Development and preliminarily validation of the Complementary Medicine Disclosure Index.

McIntyre, E

Foley, H Diezel, H Harnett, J Adams, J

Sibritt, D Steel, A

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Patient education and counseling, 2020, 103, (6), pp. 1237-1244
Issue Date:: 2020-06

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Field	Value	Language
dc.contributor.author	McIntyre, E https://orcid.org/0000-0002-3970-9979
dc.contributor.author	Foley, H
dc.contributor.author	Diezel, H
dc.contributor.author	Harnett, J
dc.contributor.author	Adams, J https://orcid.org/0000-0002-9901-5717
dc.contributor.author	Sibritt, D
dc.contributor.author	Steel, A https://orcid.org/0000-0001-6643-9444
dc.date.accessioned	2020-08-10T06:20:55Z
dc.date.available	2020-01-16
dc.date.available	2020-08-10T06:20:55Z
dc.date.issued	2020-06
dc.identifier.citation	Patient education and counseling, 2020, 103, (6), pp. 1237-1244
dc.identifier.issn	0738-3991
dc.identifier.issn	1873-5134
dc.identifier.uri	http://hdl.handle.net/10453/142049
dc.description.abstract	OBJECTIVE:Non-disclosure of complementary medicine (CM) use to doctors is associated with health risks. No standardised, validated instrument exists to measure reasons for CM use disclosure behaviour to doctors in clinical research or practice. This study aims to develop and validate an index that measures the relative importance of reasons for CM disclosure and non-disclosure. METHODS:Using data from the Complementary Alternative Medicine Use Health Literacy Disclosure Study (N = 2019), we developed a CM Disclosure Index (CMDI) using a formative measurement approach. The adequacy of the measurement models was assessed by conducting variance-based structural equation modelling using partial least squares to analyse multicollinearity, significance and relevance of the formative indicators to their relative primary constructs. RESULTS:The CMDI consists of two second-order measurement models, each with three sub-domains, and demonstrated acceptable construct validity indicating the index is a useful measure to identify the reasons for CM use disclosure behaviour. CONCLUSION:The CMDI provides a preliminary tool to measure the relative importance of the reasons for CM use disclosure and non-disclosure to doctors. PRACTICE IMPLICATIONS:Understanding patients' reasons for disclosure and non-disclosure can assist in developing targeted interventions to both patients and practitioners to facilitate effective patient-practitioner communication and improve patient safety.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Patient education and counseling
dc.relation.isbasedon	10.1016/j.pec.2020.01.008
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences
dc.subject.classification	Public Health
dc.title	Development and preliminarily validation of the Complementary Medicine Disclosure Index.
dc.type	Journal Article
utslib.citation.volume	103
utslib.location.activity	Ireland
utslib.for	11 Medical and Health Sciences
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-08-10T06:20:44Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	103
utslib.citation.issue	6

Abstract:

OBJECTIVE:Non-disclosure of complementary medicine (CM) use to doctors is associated with health risks. No standardised, validated instrument exists to measure reasons for CM use disclosure behaviour to doctors in clinical research or practice. This study aims to develop and validate an index that measures the relative importance of reasons for CM disclosure and non-disclosure. METHODS:Using data from the Complementary Alternative Medicine Use Health Literacy Disclosure Study (N = 2019), we developed a CM Disclosure Index (CMDI) using a formative measurement approach. The adequacy of the measurement models was assessed by conducting variance-based structural equation modelling using partial least squares to analyse multicollinearity, significance and relevance of the formative indicators to their relative primary constructs. RESULTS:The CMDI consists of two second-order measurement models, each with three sub-domains, and demonstrated acceptable construct validity indicating the index is a useful measure to identify the reasons for CM use disclosure behaviour. CONCLUSION:The CMDI provides a preliminary tool to measure the relative importance of the reasons for CM use disclosure and non-disclosure to doctors. PRACTICE IMPLICATIONS:Understanding patients' reasons for disclosure and non-disclosure can assist in developing targeted interventions to both patients and practitioners to facilitate effective patient-practitioner communication and improve patient safety.

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http://hdl.handle.net/10453/142049