Toward an alternate model of uncertainty management : managing cancer prevention information

With rising cancer incidence and cancer mortality rates, cancer preventive screening is the recommended health prevention measure. However, global adoption rates remained sluggish. Past evidence showed that cancer screening avoidance is attributed to demographics, psychosocial barriers, and physical...

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Main Author: Lam, Jocelin Yingfen
Other Authors: May Oo Lwin
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/104231
http://hdl.handle.net/10220/50223
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1042312020-10-28T08:29:23Z Toward an alternate model of uncertainty management : managing cancer prevention information Lam, Jocelin Yingfen May Oo Lwin Wee Kim Wee School of Communication and Information Social sciences::Communication::Communication theories and models With rising cancer incidence and cancer mortality rates, cancer preventive screening is the recommended health prevention measure. However, global adoption rates remained sluggish. Past evidence showed that cancer screening avoidance is attributed to demographics, psychosocial barriers, and physical environmental factors, and lacked an adequate theoretical framework. The uncertainty management theory (UMT) provides the needed conceptual framework to explaining the avoidance phenomenon. UMT, however, has not been fully developed as there uncertainty constructs that are not quantitatively measured. The objective of this thesis is to (1) identify the sources of uncertainty, (2) establish a scale that operationally defines the sources of uncertainty, and (3) determine the predictive power of HUS on information avoidance and cancer screening intentions. The HUS consists of 19 items that addresses uncertainty with five dimensions. The scale was developed and validated through three phases of study, starting with interviews, items development, validation through EFA (n=81), CFA (n=371) and predictive validation. Five typologies, medical, financial, self-efficacy uncertainty, interpersonal relationship ramification, and social support availability emerged from the qualitative analysis and were quantitatively validated. Medical, financial, and self-efficacy uncertainties measure informational ambiguity on medical recommendations, risk, financial, and doubt in self ability to cope with the possibility of cancer occurrence. Interpersonal relationship ramification and social support availability measures perceived threat cancer occurrence has on treasured relationships and evaluation of the availability of social support. Survey results showed that medical uncertainty and interpersonal relationship ramification positively predicted information avoidance. Self-efficacy uncertainty negatively and social support availability positively predicted cancer screening intentions. Theoretical and practical implications are discussed. Master of Communication Studies 2019-10-23T00:38:42Z 2019-12-06T21:28:41Z 2019-10-23T00:38:42Z 2019-12-06T21:28:41Z 2019 Thesis Lam, J. Y. (2019). Toward an alternate model of uncertainty management : managing cancer prevention information. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/104231 http://hdl.handle.net/10220/50223 10.32657/10356/104231 en 86 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Communication::Communication theories and models
spellingShingle Social sciences::Communication::Communication theories and models
Lam, Jocelin Yingfen
Toward an alternate model of uncertainty management : managing cancer prevention information
description With rising cancer incidence and cancer mortality rates, cancer preventive screening is the recommended health prevention measure. However, global adoption rates remained sluggish. Past evidence showed that cancer screening avoidance is attributed to demographics, psychosocial barriers, and physical environmental factors, and lacked an adequate theoretical framework. The uncertainty management theory (UMT) provides the needed conceptual framework to explaining the avoidance phenomenon. UMT, however, has not been fully developed as there uncertainty constructs that are not quantitatively measured. The objective of this thesis is to (1) identify the sources of uncertainty, (2) establish a scale that operationally defines the sources of uncertainty, and (3) determine the predictive power of HUS on information avoidance and cancer screening intentions. The HUS consists of 19 items that addresses uncertainty with five dimensions. The scale was developed and validated through three phases of study, starting with interviews, items development, validation through EFA (n=81), CFA (n=371) and predictive validation. Five typologies, medical, financial, self-efficacy uncertainty, interpersonal relationship ramification, and social support availability emerged from the qualitative analysis and were quantitatively validated. Medical, financial, and self-efficacy uncertainties measure informational ambiguity on medical recommendations, risk, financial, and doubt in self ability to cope with the possibility of cancer occurrence. Interpersonal relationship ramification and social support availability measures perceived threat cancer occurrence has on treasured relationships and evaluation of the availability of social support. Survey results showed that medical uncertainty and interpersonal relationship ramification positively predicted information avoidance. Self-efficacy uncertainty negatively and social support availability positively predicted cancer screening intentions. Theoretical and practical implications are discussed.
author2 May Oo Lwin
author_facet May Oo Lwin
Lam, Jocelin Yingfen
format Theses and Dissertations
author Lam, Jocelin Yingfen
author_sort Lam, Jocelin Yingfen
title Toward an alternate model of uncertainty management : managing cancer prevention information
title_short Toward an alternate model of uncertainty management : managing cancer prevention information
title_full Toward an alternate model of uncertainty management : managing cancer prevention information
title_fullStr Toward an alternate model of uncertainty management : managing cancer prevention information
title_full_unstemmed Toward an alternate model of uncertainty management : managing cancer prevention information
title_sort toward an alternate model of uncertainty management : managing cancer prevention information
publishDate 2019
url https://hdl.handle.net/10356/104231
http://hdl.handle.net/10220/50223
_version_ 1683493265817468928