Developing a drug-cost model for a capitated patient population in an integrated health care system

Petitta, Antonio; Patel, Rosalie P.; Zarowitz, Barbara J.

doi:10.1093/ajhp/59.2.143

Cited by 2 publications

(4 citation statements)

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“…This phenomenon is demonstrated in other studies 13,22,23,24. Similarly, the effect of insurance schemes on drug costs has been published in the United States 16. Regarding to vehicle types, injuries due to bus accidents had less costs in contrast to motorcycle accidents.…”

Section: Discussionsupporting

confidence: 64%

“…Second, the parameters in the model are specific to the population studied. In different population characteristics, different variables may be more predictive of drug costs than the ones tested in this study 16. In addition, it is essential to note that the variation of cost among organizations is based on price variances (prices of resources used), efficiency variances (resource use behavior), and volume variances (output production) 30…”

Section: Discussionmentioning

confidence: 95%

“…Then, the summation of the costs was exponentiated, resulting in the cost in anti-log form. This method was applied elsewhere 16. This cost was adjusted by multiplying with the smearing factor followed by the inflation rate.…”

Section: Resultsmentioning

confidence: 99%

“…This would result in a more accurate budget planning than that of forecasting based on only the mean statistic. This technique has been applied elsewhere 16,29…”

Section: Discussionmentioning

confidence: 99%

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A drug cost model for injuries due to road traffic accidents

Riewpaiboon

Piyauthakit

Srijariya

et al. 2008

Pharmacy Practice (Internet)

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ObjectiveThis study aimed to develop a drug cost model for injuries due to road traffic accidents for patients receiving treatment at a regional hospital in Thailand.MethodsThe study was designed as a retrospective, descriptive analysis. The cases were all from road traffic accidents receiving treatment at a public regional hospital in the fiscal year 2004.ResultsThree thousand seven hundred and twenty-three road accident patients were included in the study. The mean drug cost per case was USD18.20 (SD=73.49, median=2.36). The fitted drug cost model had an adjusted R2 of 0.449. The positive significant predictor variables of drug costs were prolonged length of stay, age over 30 years old, male, Universal Health Coverage Scheme, time of accident during 18:00-24:00 o’clock, and motorcycle comparing to bus. To forecast the drug budget for 2006, there were two approaches identified, the mean drug cost and the predicted average drug cost. The predicted average drug cost was calculated based on the forecasted values of statistically significant (p<0.05) predictor variables included in the fitted model; predicted total drug cost was USD44,334. Alternatively, based on the mean cost, predicted total drug cost in 2006 was USD63,408. This was 43% higher than the figure based on the predicted cost approach.ConclusionsThe planned budget of drug cost based on the mean cost and predicted average cost were meaningfully different. The application of a predicted average cost model could result in a more accurate budget planning than that of a mean statistic approach.

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Section: Discussionsupporting

confidence: 64%

Section: Discussionmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 99%

“…This would result in a more accurate budget planning than that of forecasting based on only the mean statistic. This technique has been applied elsewhere 16,29…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

A drug cost model for injuries due to road traffic accidents

Riewpaiboon

Piyauthakit

Srijariya

et al. 2008

Pharmacy Practice (Internet)

View full text Add to dashboard Cite

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Predicting Treatment Cost for Bacterial Diarrhoea at a Regional Hospital in Thailand

Riewpaiboon

Intraprakan

Phoungkatesunthorn

2009

J Health Popul Nutr

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The aim of this study was to estimate the treatment cost and formulate a cost-function for bacterial diarrhoea among patients in a Thai regional hospital. This study was an incidence-based cost-of-illness analysis from a hospital perspective, employing a micro-costing approach. It covered new episodes of both outpatients and inpatients who were diagnosed to have bacterial diarrhoea (ICD-10 code A00-A05) and who received treatment during 1 October 2000-31 July 2003. Retrospective data were collected from medical records of the hospital. The study covered 384 episodes, and the mean age of patients was 24 years. The average treatment costs (at 2002 prices; US$ 1=approximately 40 Thai baht) were US$ 11.29, 76.78, and 44.72 per outpatient episode, inpatient episode, and outpatient/inpatient combined episode respectively. Furthermore, the positive significant predictor variables were: inpatient care, other Salmonella-associated infections, shigellosis, other bacterial intestinal infections, and the health insurance scheme. The fitted model was able to predict greater than 80% of the treatment cost. The estimation of simulated patients demonstrated a wide range of costs, from US$ 10 per episode to US$ 163 per episode. Overall, hospital administrators can apply these results in cost-containment interventions.

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Developing a drug-cost model for a capitated patient population in an integrated health care system

Cited by 2 publications

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A drug cost model for injuries due to road traffic accidents

A drug cost model for injuries due to road traffic accidents

Predicting Treatment Cost for Bacterial Diarrhoea at a Regional Hospital in Thailand

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