scholarly journals Number of Unused Medications at the Time of Last Admission: A Prospective Observational Study in a Single Palliative Care Unit

2018 ◽  
Vol 35 (12) ◽  
pp. 1498-1504
Author(s):  
Takahito Omae ◽  
Nobuyuki Yotani ◽  
Akihiro Sakashita ◽  
Yoshiyuki Kizawa

Background: Unused medications (UM) are an important issue, with the waste associated with UM a burden to the health-care system. The aims of this study were to clarify the amount and costs of UM in patients with advanced cancer at the time of their last admission to a palliative care unit and to explore the factors contributing to the cost of UM and how patients dealt with UM. Methods: A prospective observational study was conducted in single palliative care unit. Unused medications were classified into 6 categories and the number and cost of UM by category calculated per patient. Patients were classified into 2 cost groups (high and low) based on the total cost of UM, and the number and cost of UM by category were compared between these 2 groups. Results: Of 194 consecutive hospitalized patients, data were analyzed for 90. The mean number and cost of UM per patient was 440 and US$301, respectively. Opioids accounted for 47% of the cost of UM. Comparing costs by UM category, the proportion of opioids (51% vs 21%; P < .0001) and oral anticancer drugs (14% vs 3%; P = .02) was higher in the high- than in the low-cost group. Conclusion: Based on the results of the present study, the estimated annual waste cost of UM for patients with cancer who died in Japan was approximately US$110 million. Interventions to educate patients regarding UM and to eliminate barriers to opioid use may help reduce the cost of UM, particularly opioids and anticancer drugs.

2014 ◽  
Vol 28 (10) ◽  
pp. 1239-1240 ◽  
Author(s):  
Iris Gutmanis ◽  
Joshua Shadd ◽  
Sarah Woolmore-Goodwin ◽  
Patricia Whitfield ◽  
Janette Byrne ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e024996 ◽  
Author(s):  
Nicola White ◽  
Priscilla Harries ◽  
Adam JL Harris ◽  
Victoria Vickerstaff ◽  
Philip Lodge ◽  
...  

ObjectivesTo identify a group of palliative care doctors who perform well on a prognostic test and to understand how they make their survival predictions.DesignProspective observational study and two cross-sectional online studies.SettingPhase I: an online prognostic test, developed from a prospective observational study of patients referred to palliative care. Phase II: an online judgement task consisting of 50 hypothetical vignettes.ParticipantsAll members of the Association of Palliative Medicine (APM) were eligible (n=~1100). 99 doctors completed the prognostic test and were included in the phase I analysis. The top 20% were invited to participate in phase II; 14/19 doctors completed the judgement task and were included in the phase II analysis.MeasuresPhase I: participants were asked to give a probability of death within 72 hours (0%–100%) for all 20 cases. Accuracy on the prognostic test was measured with the Brier score which was used to identify the ‘expert’ group (scale range: 0 (expert)–1 (non-expert)). Phase II: participants gave a probability of death within 72 hours (0%–100%). A mixed model regression analysis was completed using the percentage estimate as the outcome and the patient information included in the vignettes as the predictors.ResultsThe mean Brier score of all participants was 0.237 (95% CI 0.235 to 0.239). The mean Brier score of the ‘experts’ was 0.184 (95% CI 0.176 to 0.192). Six of the seven prognostic variables included in the hypothetical vignettes were significantly associated with clinician predictions of death. The Palliative Performance Score was identified as being the most influential in the doctors’ prognostic decision making (β=0.48, p<0.001).ConclusionsThis study identified six clinical signs and symptoms which influenced the judgement policies of palliative care doctors. These results may be used to teach novice doctors how to improve their prognostic skills.


2020 ◽  
Vol 60 (6) ◽  
pp. 1253-1259
Author(s):  
Amy A. Case ◽  
Michelle Walter ◽  
Megan Pailler ◽  
LuAnn Stevens ◽  
Eric Hansen

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