Hierarchy of the main factors predicting the decision to go to the doctor in a general population sample : a factorial survey design
Edo Izquierdo, Sílvia (Universitat Autònoma de Barcelona. Departament de Psicologia Bàsica, Evolutiva i de l'Educació)
Martínez Blanquet, Luis Javier (Universidad Autónoma de San Luis Potosí (Mèxic))
Rovira Faixa, Tatiana (Universitat Autònoma de Barcelona. Departament de Psicologia Bàsica, Evolutiva i de l'Educació)

Data:	2020
Resum:	Objective: To obtain a hierarchy of the main factors that predict the decision to go to the doctor when symptoms are not yet linked to a specific disease. Method: 64 representative vignettes, combinations of nine factors, were presented to 168 adults between 28-60 years of age. Results: Multilevel multiple regression models were used to rank the main factors predicting urgency to see a doctor in order of importance: the interference of symptoms in daily activities (B = −1. 29; p < . 001), fear (B = −0. 96; p < . 001), pain (B = −0. 90; p < . 001), access to medical care (B = −0. 64; p < . 001) and confidence in the doctor (B = −0. 27; <. 05). Moreover, gender (B = 0. 56; p < . 05) and educational level (B =−0. 31; p < . 05) explained part of the interindividual variation in the daily symptoms' interference. Conclusion: When a specific disease has not yet been diagnosed, daily symptoms' interference is the factor that most strongly increases the urgency to visit a doctor, especially among men and among people with a higher level of education. Practice implications: To reduce delay, generic health prevention campaigns should place more emphasis on possible interference in daily activities than on the meaning of symptoms for health.
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Going to the doctor ; Patient delay ; Time to presentation ; Factorial survey ; Multilevel design
Publicat a:	Patient Education and Counseling, Vol. 103 Núm. 7 (2020) , p. 1407-1414, ISSN 1873-5134

DOI: 10.1016/j.pec.2020.02.004

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