OBJECTIVE: To determine if patient gender and race affect decisions about pain management.
DESIGN, SETTING, AND PARTICIPANTS:Experimental design using medical vignettes to evaluate treatment decisions. A convenience sample of 111 primary care physicians (61 men, 50 women) in the Northeast was asked to treat 3 hypothetical patients with pain (kidney stone, back pain) or a control condition (sinusitis). Symptom presentation and severity were held constant, but patient gender and race were varied.
MEASUREMENTS AND MAIN RESULTS:The maximum permitted doses of narcotic analgesics (hydrocodone) prescribed at initial and return visits were calculated by multiplying mg per pill         number of pills per day         number of days         number of refills. No overall differences with respect to patient gender or race were found in decisions to treat or in the maximum permitted doses. However, for renal colic, male physicians prescribed higher doses of hydrocodone to white versus black patients (426 mg vs 238 mg), while female physicians prescribed higher doses to blacks (335 mg vs 161 mg; F 1,85 = 9.65, P = .003). This pattern was repeated for persistent kidney stone pain. For persistent back pain, male physicians prescribed higher doses of hydrocodone to males versus females (406 mg vs 201 mg), but female physicians prescribed higher doses to females (327 mg vs 163 mg; F 1,28 = 5.50, P = .03).CONCLUSION: When treating pain, gender and racial differences were evident only when the role of physician gender was examined, suggesting that male and female physicians may react differently to gender and/or racial cues.
This study is an investigation of the existence and potential causes of systematic differences between patients and physicians in their assessments of the intensity of patients' pain. In an emergency department in France, patients (N=200) and their physicians (N=48) rated the patients' pain using a visual analog scale, both on arrival and at discharge. Results showed, in confirmation of previous studies, that physicians gave significantly lower ratings than did patients of the patients' pain both on arrival (mean difference -1.33, standard error (SE)=0.17, on a scale of 0-10, P<0.001) and at exit (-1.38, SE=0.15, P<0.001). The extent of 'miscalibration' was greater with expert than novice physicians and depended on interactions among physician gender, patient gender, and the obviousness of the cause of pain. Thus physicians' pain ratings may have been affected by non-medical factors.
Physicians' diagnoses of acute otitis media (AOM) and their treatment choices were investigated using judgment and decision-making analyses. Thirty-two pediatricians in the Albany, New York, area provided probability judgments of the presence of AOM and made treatment decisions for 32 patient vignettes, each described in terms of historical and examination variables. Their probability judgments were well predicted by linear combinations of the patient variables (R2s ranged from 0.76 to 0.97). Information about the observed condition of the eardrum proved to be most critical to the physicians' diagnoses. They demonstrated good levels of agreement on diagnoses. They varied, however, in their tendencies to treat with amoxicillin rather than another antibiotic. Case vagueness was related to the rate of antibiotic treatment. The rate of antibiotic treatment was higher for vague than for non-vague cases when the mean judged probability of AOM was low. In combination, the findings highlight the importance of performing and interpreting ear examinations and the role that consistent training may have in improving management of AOM.
Regret over failing to diagnose aggressive prostate cancer is associated with a policy of ordering PSAs. This regret appears to be culturally sensitive.
The objective of this study was to ascertain how patients judge the acceptability of physicians' communication of bad news. Two hundred forty-five adults, who had in the past received bad medical news, indicated the acceptability of physicians' conduct in 48 vignettes of giving bad news to patients. Vignettes were all combinations of five factors: level of bad news (infection with hepatitis C, cirrhosis of the liver, or liver cancer); request or not to the patient to come with spouse or partner; attempt or not by the physician to find out the patient's expectations about the test results; presence or absence of emotional supportiveness; and provision or not of complete and understandable information. In addition, nine physicians rated the same vignettes. Quality of information and emotional supportiveness explained more than 95% of the variance in patients' acceptability judgments, while the degree of badness of the news had no impact. In addition, for patients, low emotional supportiveness could not be fully compensated by high quality of information, nor the inverse. Physicians, in contrast, responded as if such compensations were possible. Physicians must appreciate that patients expect high levels of both empathy and information quality, no matter how bad the news.
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