PubMed Health⌕ Search

PubMed · 1397812

Policy recommendations for pharmaceutical representative-resident interactions.

Abstract

Based on our review of existing written policies regarding pharmaceutical representative-resident interactions, we believe that residencies should develop more comprehensive policies. We present six topic areas that programs should address in formulating policies: 1) policy tone, 2) traffic control, 3) samples, 4) gifts, 5) screening of educational and promotional materials and events, and 6) honoraria, research funding, and other monetary exchanges.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G L Brotzman, D H Mark. 1992. Policy recommendations for pharmaceutical representative-resident interactions.. https://pubmed.ncbi.nlm.nih.gov/1397812/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗