TY - JOUR
T1 - Understanding self-management behaviors in symptomatic adults with uncertain etiology using an illness perceptions framework
AU - Leos, Cristina
AU - Khan, Cynthia M.
AU - Rini, Christine
N1 - Funding Information:
This study was funded by the National Human Genome Research Institute of the National Institutes of Health under Award Number U01HG006487. Principal Investigators: James P. Evans, Jonathan S. Berg, Karen E. Weck, Kirk C. Wilhelmsen, and Gail E. Henderson.
Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - The self-management behaviors of individuals with medical conditions that have an unknown etiology have not been studied. This study assesses the relationship between illness perceptions and various illness self-management behaviors in patients undergoing clinical genomic sequencing to identify a genetic cause for their condition. Hierarchical linear regression, Poisson linear regression, and logistic regression were used to assess the effect of illness perceptions (i.e., perceived consequences, timeline, personal control, treatment control, identity, concern, understanding, emotional impact, and causal beliefs as measured by the Brief Illness Perceptions Questionnaire) on healthcare use, prescription medication use, and doctor recommended supplement use, respectively (n = 200). Analyses revealed that (1) illness identity beliefs were positively associated with healthcare use (β = 0.20, p = 0.04), (2) both treatment control beliefs (B = 0.03, p = 0.02) and genetic causal beliefs (B = 0.17, p = 0.049) were positively associated with prescription medication use, and (3) both timeline beliefs (OR 1.23, p = 0.02) and emotional impact (OR 1.20, p = 0.02) were positively associated with doctor recommended supplement use. These findings can be used to inform the development of guidelines for treating patients who are seeking a genetic diagnosis for their illness.
AB - The self-management behaviors of individuals with medical conditions that have an unknown etiology have not been studied. This study assesses the relationship between illness perceptions and various illness self-management behaviors in patients undergoing clinical genomic sequencing to identify a genetic cause for their condition. Hierarchical linear regression, Poisson linear regression, and logistic regression were used to assess the effect of illness perceptions (i.e., perceived consequences, timeline, personal control, treatment control, identity, concern, understanding, emotional impact, and causal beliefs as measured by the Brief Illness Perceptions Questionnaire) on healthcare use, prescription medication use, and doctor recommended supplement use, respectively (n = 200). Analyses revealed that (1) illness identity beliefs were positively associated with healthcare use (β = 0.20, p = 0.04), (2) both treatment control beliefs (B = 0.03, p = 0.02) and genetic causal beliefs (B = 0.17, p = 0.049) were positively associated with prescription medication use, and (3) both timeline beliefs (OR 1.23, p = 0.02) and emotional impact (OR 1.20, p = 0.02) were positively associated with doctor recommended supplement use. These findings can be used to inform the development of guidelines for treating patients who are seeking a genetic diagnosis for their illness.
KW - Genomic sequencing
KW - Healthcare utilization
KW - Illness perceptions
KW - Medication use
KW - Self-management
KW - Supplement use
UR - http://www.scopus.com/inward/record.url?scp=84961203179&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961203179&partnerID=8YFLogxK
U2 - 10.1007/s10865-015-9698-2
DO - 10.1007/s10865-015-9698-2
M3 - Article
C2 - 26646840
AN - SCOPUS:84961203179
SN - 0160-7715
VL - 39
SP - 310
EP - 319
JO - Journal of Behavioral Medicine
JF - Journal of Behavioral Medicine
IS - 2
ER -