Strong opioid prescription in cancer patients in their final year of life: A population-based analysis using a Taiwanese health insurance database

2018 ◽  
Vol 14 (5) ◽  
pp. e498-e504
Author(s):  
Yu-Lin Lin ◽  
Ruey Kuen Hsieh ◽  
Chao-Hsiun Tang
Keyword(s):  
Health Insurance ◽  
Cancer Patients ◽  
Population Based ◽  
Opioid Prescription ◽  
Strong Opioid ◽  
Health Insurance Database ◽  
Insurance Database

Difference in strong opioid prescription among different cancer and care providers in advanced cancer patients in Taiwan: Analysis using national health insurance database.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 55-55
Author(s):  
Ruey Kuen Hsieh ◽  
Yu-Lin Lin ◽  
Chao-Hsiun Tang
Keyword(s):  
Health Insurance ◽  
Cancer Patients ◽  
Advanced Cancer ◽  
National Health Insurance ◽  
National Health ◽  
Care Providers ◽  
Advanced Cancer Patients ◽  
Opioid Prescription ◽  
Strong Opioid ◽  
Strong Opioids

55 Background: Pain assessment and management had been adopted as an important criteria in hospital accreditation in Taiwan. National health insurance database may help to determine factors influencing patterns of strong opioid use in advanced cancer patients in their final 12 months of life. Methods: Cancer patients who died from cancer during 2008-2011 were included in the analysis. Data in prescription of strong opioids during their last 12 months of life were collected and analyzed using National Health Insurance Research Database (NHIRD). Patient’s characteristics, such as cancer types, birthdate and gender, as well as information on the provider’s characteristics, such as specialty, gender and age of the physician, the ownership and level of accreditation of the hospital, and the level of urbanization of the hospital where it is located, were also retrieved and included as the controlled variables in the analysis. Results: Of the 162,679 cancer deaths, 57,578 were prescribed strong opioids in their last year of life (35.4 percent). Strong opioid prescription steadily decreased with the corresponding increase in patient age. Besides there are difference in different cancer types. Association with prescription prevalence has also been noted among physician characteristics such as subspecialty, gender and age, as well among hospital characteristics, such as public vs private and accreditation level. Conclusions: There are significant difference in strong opioids prescription among different care providers for advanced cancer patients. Information from this study can guide further efforts in improving supportive care and education for advanced cancer care providers.

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