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Author(s):  
Takahiro Ushida ◽  
Mizuka Yokoyama ◽  
Kazuhito Shiosakai ◽  
Kengo Saito ◽  
Shigehisa Ibe ◽  
...  

Author(s):  
Daisuke Kikuchi ◽  
Misato Ito ◽  
Misaki Tokunaga ◽  
Kota Sasaki ◽  
Ryosuke Miura ◽  
...  

2020 ◽  
Vol 11 (4) ◽  
pp. 5121-5133
Author(s):  
Shaik Faizan Ali ◽  
Mahaveer Singh ◽  
Birendra Shrivastava ◽  
Konda Ravi Kumar

The main of our study is to determine the prescription pattern and perform cost analysis of the patients who were visiting the cardiology department of the hospital. Anti hypertensive drugs has vast classification and most of the studies suggest that cardiovascular events are one among the most leading contributor to global patients in regards to mortality and morbidity. Cardiovascular events are also considered as silent killer because its symptoms are unpredictable. should be prescribed properly. So we have undergone a prospective observational study which shows mean age of 60.13 + 9.22. We found that there is much difference in gender for exposure of cardiovascular events. We observed dual therapy was effective in management for . We found total average of direct medical cost was Rs.5641.12 and indirect medical cost was Rs.677.27. The patients prescription was and documented to know the level of and compliance with guidelines. The economic burden experienced by the patients were to know the rational use of drugs and to lay a way for further research related to economics.


Pain Medicine ◽  
2020 ◽  
Author(s):  
David R Axon ◽  
Marion Slack ◽  
Leila Barraza ◽  
Jeannie K Lee ◽  
Terri Warholak

Abstract Objective To compare health care expenditures between older US adults (≥50 years) with pain who were prescribed opioid medications and those who were not. Design Cross-sectional. Setting Community-based adults in the 2015 Medical Expenditure Panel Survey (MEPS). Subjects Nationally representative sample of US adults alive for the calendar year, aged 50 years or older, who reported having pain in the past four weeks. Methods Older US adults (≥50 years) with pain in the 2015 MEPS data were identified. The key independent variable was opioid prescription status (prescribed opioid vs not prescribed opioid). Hierarchical linear regression models assessed health care expenditures (inpatient, outpatient, office-based, emergency room, prescription medications, other, and total) in US dollars for opioid prescription status from a community-dwelling US population perspective, adjusting for covariates. Results The 2015 study cohort provided a national estimate of 50,898,592 noninstitutionalized US adults aged ≥50 years with pain in the past four weeks (prescribed opioid N = 16,757,516 [32.9%], not prescribed opioid N = 34,141,076 [67.1%]). After adjusting for covariates, individuals prescribed an opioid had 61% greater outpatient (β = 0.477, P < 0.0001), 69% greater office-based (β = 0.524, P < 0.0001), 14% greater emergency room (β = 0.131, P = 0.0045), 63% greater prescription medication (β = 0.486, P < 0.0001), 29% greater other (β = 0.251, P = 0.0002), and 105% greater total (β = 0.718, P < 0.0001) health care expenditures. There was no difference in opioid prescription status for inpatient expenditures (P > 0.05). Conclusions This study raises awareness of the economic impact associated with opioid use among US older adults with pain. Future research should investigate these variables in greater depth, over longer time periods, and in additional populations.


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