Pdb63 Comparative Results on Effects of Types of Insurance and Payment Plans on Physicians' Cost Awareness During the Physician Visit Using the Namcs Survey in 1996 and 2005

Huttin, CC; Wong, Dorothy

doi:10.1016/s1098-3015(10)72307-x

Cited by 4 publications

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“…Usual formula for generation of random numbers use a uniform random generation, with originally distributed random variates over an interval (0,1). But in this formula for generation of random drug prices, the random generator for prices is modified to an interval (0,2), the 5% artificial random variation is selected as a first experiment and the formula is modified into a log form of the random variable (1). So, the formula used for generation of prices for this mixed logit model is the following: Log (2*runiform () +price+1).…”

Section: Description Of the Baseline Model On Mixed Logit And Modific...mentioning

confidence: 99%

“…However, the formula with the log form and the "runiform" command in it (b) lead to more statistically significant parameters than the first formula (a) used with the lnormal Stata command. The formula avoids negative numbers in the random variates and a price equals to zero in the dataset (it helps with the "no drug" alternative) (1).Additional series of random number functions may be needed in future steps of the model development, especially to investigate correlations issues between alternatives.…”

Section: Description Of the Baseline Model On Mixed Logit And Modific...mentioning

confidence: 99%

“…This paper continues the development of an economic model for medical markets, including physicians' choices models, with data on the US market; it provides a first series of results on a simulation approach, using a mixed logit model; the medical market case is the diabetic case. Data are extracted from a CDC physician survey, and models are run on an analytical database designed by Prof C Huttin and her coworkers, D Wong and S Atwood [1,2], under her company, Endepus research, Inc and during visits to Harvard University (especially for analysis of ICT Development of a Physicians' Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II diffusion [3]). A new specification test to address the property of Independence of Irrelevant Alternatives (IAA) at an individual level has been developed by Prof Hausman and his co-authors [4] for mixed logit choice models and a variant of the mixed logit model (Berry, Levinsohn et Pakes (BLP) model [5]).…”

Section: Introductionmentioning

confidence: 99%

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Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

2021

AHS

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Section: Description Of the Baseline Model On Mixed Logit And Modific...mentioning

confidence: 99%

Section: Description Of the Baseline Model On Mixed Logit And Modific...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

2021

AHS

View full text Add to dashboard Cite

show abstract

“…This paper continues the development of an economic model for medical markets, including physicians' choices models, with data on the US market; it provides a rst series of results on a simulation approach, using a mixed logit model; the medical market case is the diabetic case. Data are extracted from a CDC physician survey, and models are run on an analytical database designed by Prof C Huttin and her coworkers, D Wong and S Atwood [1,2], under her company, Endepusresearch, Inc and during visits to Harvard University (especially for analysis of ICT diffusion [3]). A new speci cation test to address the property of Independence of Irrelevant Alternatives (IAA) at an individual level has been developed by Prof Hausman and his co-authors [4] for mixed logit choice models and a variant of the mixed logit model (Berry, Levinsohn et Pakes (BLP) model [5]).…”

Section: Introductionmentioning

confidence: 99%

Development of a Physicians’ Choice Model Using Mixed Logit With Random Prices for Drugs Case Study on Diabetes Type II

Huttin¹,

Hausman²

2020

Preprint

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This paper presents a first experiment with random generator of drug prices and a first simulation on physicians’ treatment choices (case on pharmacotherapies) for diabetes type II care. It also aims to compare the effects of the price variables according to public versus private health plans on physicians’ choices (Medicare versus commercial Health Plans). The base line model used is a Mixed Logit model with Random Price variables. A series of experiments with random parameters generations is designed with various sequences and number of draws. The model is tested on a real analytical dataset, extracted from the CDC physician survey (National Ambulatory Care Survey, NAMCS), for patients with diabetes type II without complications, for previous predictive econometrics with ENDEPUSresearch, Inc. The model uses a first drug choice set with three alternatives: oral agents only, combined therapies, no drug. The choice models introduce qualitative dependent variables and complement the series of cumulative logistic models per disease. The matlab code for the new specification test on the Independence of Irrelevant Alternatives at individual level is modified to fit this type of medical applications; first runs compare main parameters of a full choice set versus reduced choice sets of alternatives. It is planned to design more experiments for extended choice sets and widespread applications, in order to lead to user friendly tools for medical systems. The collaboration with Professor Jerry Hausman on the US market will help with use of results and new ways to adjust the reliability on the selection of alternatives; it may provide additional guidance to the algorithms used by professionals and for health policies.

show abstract

Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

2021

AHS

View full text Add to dashboard Cite

Background: this paper presents a first experiment with random generator of drug prices and a first simulation on physicians’ treatment choices (case on pharmacotherapies) for diabetes type II care. It also aims to compare the effects of the price variables according to public versus private health plans on physicians’ choices (Medicare versus commercial Health Plans). Methods: the base line model used is a Mixed Logit model with Random Price variables. A series of experiments with random parameters generations is designed with various sequences and number of draws. The model is tested on a real analytical dataset, extracted from the CDC physician survey (National Ambulatory Care Survey, NAMCS), for patients with diabetes type II without complications, for previous predictive econometrics with ENDEPUS research, Inc. The model uses a first drug choice set with three alternatives: oral agents only, combined therapies, no drug. The choice models introduce qualitative dependent variables and complement the series of cumulative logistic models per disease. The matlab code for the new specification test on the Independence of Irrelevant Alternatives at individual level is modified to fit this type of medical applications. Results: a mixed logit model is run on Stata to estimate main coefficients associated with price variables and socio demographics of diabetic patients; these parameters are then imported into a modified matlab code, based on first experiments of random generators for price; runs compare main parameters of a full choice set versus reduced choice sets of alternatives. It is planned to design more experiments for extended choice sets and widespread applications, to lead to user friendly tools for medical systems. Conclusions: the collaboration with Professor Jerry Hausman on the US market will help with use of results and new ways to adjust the reliability of the selection of alternatives; it may provide additional guidance to the algorithms used by professionals and for health policies.

show abstract

Pdb63 Comparative Results on Effects of Types of Insurance and Payment Plans on Physicians' Cost Awareness During the Physician Visit Using the Namcs Survey in 1996 and 2005

Cited by 4 publications

References 0 publications

Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

Development of a Physicians’ Choice Model Using Mixed Logit With Random Prices for Drugs Case Study on Diabetes Type II

Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

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