Influencing Factors of Intention and Behavior of Patient Delay in Elderly Benign Prostatic Hyperplasia: a Descriptive Qualitative Study

Autor: Hao Zou, Dong-xu Jiang, Wan-yue Zhao, Hong-hong Jia, Ying-li Li, Jin-hong Yang, Lin-lin Zhang
Rok vydání: 2022
DOI: 10.21203/rs.3.rs-1155453/v1
Popis: Background: Most elderly patients with BPH have experienced patient delay. Based on the TPB, the aim of this study was to describe the influencing factors of BPH patients' intention and behavior of patient delay and to provide a reference for the development of a patient delay intention scale and personalized intervention.Methods: This descriptive qualitative study was carried out 4 months in 2021 in China. The participants were 20 patients with BPH ages 60 to 82 years old who experienced patient delay and were selected through purposive sampling method. The study was performed in a large general hospital and a community hospital. The data were collected via face-to-face semi-structured interviews.Results: The following themes were relevant to BPH patients with intention and behavior of patient delay: “Insufficient cognition of symptoms (low symptom alertness, symptom benign attribution)”, “Experience coping instead of going to a doctor”, “Negative attitude toward seeking medical care (Underestimation of the consequences of delayed medical treatment, Negative evaluation of early medical treatment)”, “The influence of others on decision-making for seeking medical care(People who approve or disapprove of going to a doctor, Do or do not follow the opinions of others)”, “Obstacles to seeking medical care(Factors from the patient, Factors from medical institutions)”Conclusion: The delay was longer in rural areas than in urban areas. BPH patients' intention and behavior of patient delay are the result of a combination of many factors. Therefore, it is recommended to develop a scale to evaluate the patient delay intention for BPH, and provide personalized interventions based on the scale to improve patient delay in elderly BPH patients
Databáze: OpenAIRE