| Literature DB >> 35299848 |
Julio C Quispe Mamani1, Yessica Quilca Soto2, Dominga A Calcina Álvarez3, Cristóbal R Yapuchura Saico1, Nelly J Ulloa Gallardo4, Santotomas L Aguilar Pinto5, Betsy Quispe Quispe2, Nelly B Quispe Maquera2, Balbina E Cutipa Quilca6.
Abstract
Objective: The objective of the research was to determine which socioeconomic factors are the ones that most influence the moral hazard in the behavior of the doctors of the Comprehensive Health Insurance in the province of San Román and to identify the attitude of the doctor to a gift and its influence in moral hazard.Entities:
Keywords: health; health insurance; moral hazard; physician behavior; risk
Mesh:
Year: 2022 PMID: 35299848 PMCID: PMC8923345 DOI: 10.3389/fpubh.2021.799708
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Operationalization of model variables.
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| Dependent variable | Moral hazard in the behavior of doctors | RM | Does the respondent believe that there is moral hazard in the behavior of doctors? | Dichotomous |
| Independent variables | Salary | W | Average monthly salary of the doctor | Continuous and quantitative |
| Work experience | EL | Years of work experience | Continuous and quantitative | |
| Bad reputation of the doctor | Rep | Does the respondent believe that the doctor's negative reputation influences moral hazard? | Dichotomous | |
| Social pressure toward doctors | PS | Does the respondent believe that social pressure influences committing moral hazard? | Dichotomous | |
| Medical ethics | EM | Does the respondent put into practice the principles of medical ethics? | Dichotomous | |
| Negative behavioral attitude of the doctor | AC | For the respondent, what would be their way of acting or behavioral attitude to a gift or bribe? | Dichotomous |
Figure 1Relationship between moral hazard and bad reputation of the doctor.
Figure 2Relationship between moral hazard and social pressure.
Figure 3Relationship between moral hazard and negative behavioral attitude.
Estimation of the binomial probit model.
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| Wald chi2(6) | = | 218.63 | ||||
| Prob > chi2 | = | 0.0000 | ||||
| Log pseudolikelihood = −8.4899521 | Pseudo R2 | = | 0.6129 | |||
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| Salary (W) | 0.7717021 | 0.6205392 | 1.24 | 0.214 | −0.4445325 | 1.987937 |
| Work experience (EL) | 0.3626199 | 0.4140363 | 0.88 | 0.381 | −0.4488763 | 1.174116 |
| Bad reputation of the doctor (Rep) | 6.987361 | 1.045874 | 6.68 | 0.000 | 4.937485 | 9.037237 |
| Social pressure toward doctors (PS) | −7.707817 | 1.568871 | −4.91 | 0.000 | −10.78275 | −4.632887 |
| Medical ethics (EM) | −2.191015 | 0.8429538 | −2.60 | 0.009 | −3.843174 | −0.5388562 |
| Negative behavioral attitude of the doctor (AC) | 8.690894 | 1.631523 | 5.33 | 0.000 | 5.493167 | 11.88862 |
| Constant | −7.996764 | 1.762656 | −4.54 | 0.000 | −11.45151 | −4.542022 |
Marginal effects.
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| Salary (W) | 0.0059509 | 0.00591 | 1.01 | 0.314 | −0.005628 | 0.017529 | 1.78125 |
| Work experience (EL) | 0.0027963 | 0.00378 | 0.74 | 0.460 | −0.004614 | 0.010206 | 2.15625 |
| Bad reputation of the doctor (Rep) | 0.2657349 | 0.13222 | 2.01 | 0.044 | −0.006597 | 0.524872 | 0.6875 |
| Social pressure toward doctors (PS) | −0.9776822 | 0.03891 | −25.13 | 0.000 | −1.05395 | −0.901415 | 0.625 |
| Medical ethics (EM) | −0.0656182 | 0.05273 | −1.24 | 0.213 | −0.168966 | 0.03773 | 0.59375 |
| Negative behavioral attitude of the doctor (AC) | 0.9377471 | 0.07427 | 12.63 | 0.000 | 0.792174 | 1.08332 | 0.5 |
Marginal effects after Probit y = Pr (RM) (predict) = 0.00248236.