The routine and the traumatic in prenatal genetic diagnosis: does clinical information inform patient decision-making?

2005 ◽  
Vol 56 (3) ◽  
pp. 302-312 ◽  
Author(s):  
Linda M. Hunt ◽  
Katherine B. de Voogd ◽  
Heide Castañeda
Keyword(s):  
Decision Making ◽  
Genetic Diagnosis ◽  
Clinical Information ◽  
Patient Decision Making ◽  
Prenatal Genetic Diagnosis ◽  
Patient Decision

Review of patient decision-making factors and attitudes regarding preimplantation genetic diagnosis

2018 ◽  
Vol 94 (1) ◽  
pp. 22-42 ◽  
Author(s):  
M.C. Genoff Garzon ◽  
L.R. Rubin ◽  
M. Lobel ◽  
J. Stelling ◽  
L.M. Pastore
Keyword(s):  
Decision Making ◽  
Preimplantation Genetic Diagnosis ◽  
Genetic Diagnosis ◽  
Patient Decision Making ◽  
Patient Decision ◽  
Decision Making Factors

An economic theory of patient decision-making

2005 ◽  
Vol 2 (3) ◽  
pp. 153-164 ◽  
Author(s):  
Douglas O. Stewart ◽  
Joseph P. DeMarco
Keyword(s):  
Decision Making ◽  
Economic Theory ◽  
Patient Decision Making ◽  
Patient Decision

scholarly journals 181. I FOUND IT MOST CONFUSING, I DIDN’T KNOW WHAT TO BELIEVE: EXPLORING PATIENT DECISION MAKING AROUND GOUT AND DIET

Rheumatology ◽  
2017 ◽  
Vol 56 (suppl_2) ◽  
Author(s):  
Jennifer Liddle ◽  
Jane C. Richardson ◽  
Christian D. Mallen ◽  
Samantha L. Hider ◽  
Priyanka Chandratre ◽  
...  
Keyword(s):  
Decision Making ◽  
Patient Decision Making ◽  
Patient Decision

scholarly journals An Epistemic Network Analysis of Patient Decision-Making Regarding Choice of Therapy

2021 ◽  
Author(s):  
Szilvia Zörgő ◽  
Gjalt - Jorn Ygram Peters ◽  
Csajbók-Veres Krisztina ◽  
Anna Jeney ◽  
Andrew Ruis
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Methodological Approach ◽  
Critical Factor ◽  
Structured Interviews ◽  
Pull Factors ◽  
Push Factors ◽  
Patient Decision Making ◽  
Patient Decision ◽  
Choice Of Therapy

Background: Patient decision-making concerning therapy choice has been thoroughly investigated in the Push/Pull framework: factors pushing the patient away from biomedicine and those pulling them towards Complementary and Alternative Medicine (CAM). Others have examined lay etiology as a potential factor in CAM use.Methods: We conducted semi-structured interviews with patients employing only biomedicine and those using CAM. The coded and segmented data was quantified and modelled using epistemic network analysis (ENA) to explore what effects push/pull factors and etiology had on the decision-making processes.Results: There was a marked difference between our two subsamples concerning push factors: although both groups exhibited similar scaled relative code frequencies, the CAM network models were more interconnected, indicating that CAM users expressed dissatisfaction with a wider array of phenomena. Among pull factors, a preference for natural therapies accounted for differences between groups but did not retain a strong connection to rejecting conventional treatments. Etiology, particularly adherence to vitalism, was also a critical factor in both choice of therapy and rejection of biomedical treatments.Conclusions: Push factors had a crucial influence on decision-making, not as individual entities, but as a constellation of experienced phenomena. Belief in vitalism affects the patient’s explanatory model of illness, changing the interpretation of other etiological factors and illness itself. Scrutinizing individual push/pull factors or etiology does not explain therapeutic choices; it is from their interplay that decisions arise. Our unified, qualitative-and-quantitative methodological approach offers novel insight into decision-making by displaying connections among codes within patient narratives.

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