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1.
Pain Med ; 8(5): 433-7, 2007.
Artigo em Inglês | MEDLINE | ID: mdl-17661857

RESUMO

OBJECTIVE: In several high profile prosecutions of physicians for prescribing opioids, prosecutors claimed that the doctors should have known the individuals were feigning pain solely to obtain the prescriptions. This study was to determine how readily physicians can tell that patients lie. METHODS: A literature search was done for studies of standardized patients used to evaluate physicians' practices. Standardized patients are actors taught to mimic a patient with a specific illness. The papers were then reviewed for the frequency with which the physician correctly identified which office visits were by the standardized (lying) patients. RESULTS: Six studies of practicing physicians using standardized patients reported the frequency with which these actors were identified as the standardized patients. This occurred around 10% of the time. Some real patients were erroneously identified as the actors. CONCLUSION: Deception is difficult to detect. In the current legal climate surrounding prescribing opioids, accepting patients' reports of pain at face value can have significant legal consequences for the doctor. While doctors must make every reasonable effort to confirm the diagnosis and need for opioid therapy, allowance must be made for the fact that conscientious doctors can be deceived.


Assuntos
Analgésicos Opioides/uso terapêutico , Psicologia Criminal/legislação & jurisprudência , Simulação de Doença/diagnóstico , Transtornos Relacionados ao Uso de Opioides/diagnóstico , Medição da Dor/normas , Dor/tratamento farmacológico , Direito Penal/legislação & jurisprudência , Direito Penal/tendências , Erros de Diagnóstico/prevenção & controle , Prescrições de Medicamentos/normas , Prescrições de Medicamentos/estatística & dados numéricos , Humanos , Legislação de Medicamentos/normas , Legislação de Medicamentos/tendências , Simulação de Doença/prevenção & controle , Simulação de Doença/psicologia , Transtornos Relacionados ao Uso de Opioides/prevenção & controle , Transtornos Relacionados ao Uso de Opioides/psicologia , Dor/psicologia , Medição da Dor/psicologia , Relações Médico-Paciente/ética , Prática Profissional/ética , Prática Profissional/legislação & jurisprudência , Recusa em Tratar/legislação & jurisprudência , Recusa em Tratar/estatística & dados numéricos
2.
Pain Med ; 7(4): 353-7, 2006.
Artigo em Inglês | MEDLINE | ID: mdl-16898947

RESUMO

OBJECTIVE: Fear of government actions against physicians for prescribing opioids for their chronic pain patients is a cause for undertreatment of pain. This study was conducted to assess the risk of action by the federal Drug Enforcement Administration (DEA). METHODS: The DEA responded to a written request with a list of all DEA arrests in fiscal 2003. The Federal Register was reviewed for all revocations of DEA registrations for 2003 and 2004. RESULTS: There were 47 arrests in 2003 from among 963,385 doctors registered with the DEA and 56 revocations of registration seen in the 2003 and 2004 period. The reasons for these actions included loss of medical license, fraud, substance abuse by prescriber, sex in exchange for prescriptions, and prescribing without seeing patient. For the majority of cases, there was information to believe that a documented doctor-patient relationship with a chronic pain patient did not exist. CONCLUSION: When adequate documentation exists in the medical record, the risk of civil, criminal, or administrative action being taken by the DEA against a physician for prescribing opioids for a chronic pain patient is small.


Assuntos
Prescrições de Medicamentos/estatística & dados numéricos , Órgãos Governamentais , Entorpecentes/uso terapêutico , Dor/tratamento farmacológico , Médicos/estatística & dados numéricos , Má Conduta Profissional/estatística & dados numéricos , Medição de Risco/métodos , Crime/legislação & jurisprudência , Crime/estatística & dados numéricos , Uso de Medicamentos/estatística & dados numéricos , Disciplina no Trabalho/estatística & dados numéricos , Regulamentação Governamental , Humanos , Licenciamento em Medicina/estatística & dados numéricos , Imperícia/estatística & dados numéricos , Dor/epidemiologia , Fatores de Risco , Estados Unidos/epidemiologia
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