The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics
We present two new findings based on annual antipsychotic US prescribing data from IMS Health on 2867 psychiatrists who wrote 50 or more prescriptions in 2007. First, many of these psychiatrists have prescription patterns that are statistically significantly different than random draws from national...
Gespeichert in:
Veröffentlicht in: | Journal of health economics 2015-03, Vol.40, p.26-39 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 39 |
---|---|
container_issue | |
container_start_page | 26 |
container_title | Journal of health economics |
container_volume | 40 |
creator | Berndt, Ernst R. Gibbons, Robert S. Kolotilin, Anton Taub, Anna Levine |
description | We present two new findings based on annual antipsychotic US prescribing data from IMS Health on 2867 psychiatrists who wrote 50 or more prescriptions in 2007. First, many of these psychiatrists have prescription patterns that are statistically significantly different than random draws from national market shares for prescriptions by psychiatrists. For example, many have prescription patterns that are significantly more concentrated than such draws. Second, among psychiatrists who are the most concentrated, different prescribers often concentrate on distinct drugs. Motivated by these two findings, we then construct a model of physician learning-by-doing that fits these facts and generates two further predictions: both concentration (on one or a few drugs) and deviation (from the prescription patterns of others) should be smaller for high-volume physicians. We find empirical support for these predictions. Furthermore, our model outperforms an alternative theory concerning detailing by pharmaceutical representatives. |
doi_str_mv | 10.1016/j.jhealeco.2014.11.003 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1770309053</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0167629614001404</els_id><sourcerecordid>1770309053</sourcerecordid><originalsourceid>FETCH-LOGICAL-c460t-70f7395ead237b55a65635489c0819c71c735d81364d0c0e06ed308b861e8a083</originalsourceid><addsrcrecordid>eNqFkU1r3DAQhkVpabZp_0IQ9NKL3dHK-uqpJfQLAr2kZyFL41hm19pK3oX995XZpIdeootAPO9oZh5Cbhi0DJj8OLXTiG6HPrVbYF3LWAvAX5AN08o0THbyJdlUUDVya-QVeVPKBPUIbl6Tq60QSvCu2xB7PyIdccGcHnDGuJxpGqhPs8d5yW7BQA8Zi8-xj_MD7XF0p5jyJ1pzKZ-pmwPFUwxYA3TIaV9flngoZz-mJfrylrwa3K7gu8f7mvz-9vX-9kdz9-v7z9svd43vJCyNgkFxI9CFLVe9EE4KyUWnjQfNjFfMKy6CZlx2ATwgSAwcdK8lQ-1A82vy4VL3kNOfI5bF7mPxuNu5GdOxWKYUcDB1_udRKaXRRoOp6Pv_0Ckd81wHWSnFZO1npeSF8jmVknGwhxz3Lp8tA7vaspN9smVXW5YxW23V4M1j-WO_x_Av9qSnAp8vANbVnSJmW3xcVx1iRr_YkOJzf_wFwuOoTA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1667163649</pqid></control><display><type>article</type><title>The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics</title><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Berndt, Ernst R. ; Gibbons, Robert S. ; Kolotilin, Anton ; Taub, Anna Levine</creator><creatorcontrib>Berndt, Ernst R. ; Gibbons, Robert S. ; Kolotilin, Anton ; Taub, Anna Levine</creatorcontrib><description>We present two new findings based on annual antipsychotic US prescribing data from IMS Health on 2867 psychiatrists who wrote 50 or more prescriptions in 2007. First, many of these psychiatrists have prescription patterns that are statistically significantly different than random draws from national market shares for prescriptions by psychiatrists. For example, many have prescription patterns that are significantly more concentrated than such draws. Second, among psychiatrists who are the most concentrated, different prescribers often concentrate on distinct drugs. Motivated by these two findings, we then construct a model of physician learning-by-doing that fits these facts and generates two further predictions: both concentration (on one or a few drugs) and deviation (from the prescription patterns of others) should be smaller for high-volume physicians. We find empirical support for these predictions. Furthermore, our model outperforms an alternative theory concerning detailing by pharmaceutical representatives.</description><identifier>ISSN: 0167-6296</identifier><identifier>EISSN: 1879-1646</identifier><identifier>DOI: 10.1016/j.jhealeco.2014.11.003</identifier><identifier>PMID: 25575344</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adult ; Antipsychotic Agents - therapeutic use ; Antipsychotic prescriptions ; Deviation ; Drugs ; Economics ; Female ; Health ; Health administration ; Heterogeneity ; Humans ; Male ; Market shares ; Markets ; Mathematical models ; Middle Aged ; Models, Theoretical ; Organizational learning ; Pharmaceutical concentration ; Physician learning ; Physicians ; Practice Patterns, Physicians' - statistics & numerical data ; Prescriptions ; Psychiatrists ; Psychiatry - statistics & numerical data ; Psychotropic drugs ; Schizophrenia - drug therapy ; Studies ; United States</subject><ispartof>Journal of health economics, 2015-03, Vol.40, p.26-39</ispartof><rights>2014 Elsevier B.V.</rights><rights>Copyright © 2014 Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Mar 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-70f7395ead237b55a65635489c0819c71c735d81364d0c0e06ed308b861e8a083</citedby><cites>FETCH-LOGICAL-c460t-70f7395ead237b55a65635489c0819c71c735d81364d0c0e06ed308b861e8a083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167629614001404$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,30976,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25575344$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Berndt, Ernst R.</creatorcontrib><creatorcontrib>Gibbons, Robert S.</creatorcontrib><creatorcontrib>Kolotilin, Anton</creatorcontrib><creatorcontrib>Taub, Anna Levine</creatorcontrib><title>The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics</title><title>Journal of health economics</title><addtitle>J Health Econ</addtitle><description>We present two new findings based on annual antipsychotic US prescribing data from IMS Health on 2867 psychiatrists who wrote 50 or more prescriptions in 2007. First, many of these psychiatrists have prescription patterns that are statistically significantly different than random draws from national market shares for prescriptions by psychiatrists. For example, many have prescription patterns that are significantly more concentrated than such draws. Second, among psychiatrists who are the most concentrated, different prescribers often concentrate on distinct drugs. Motivated by these two findings, we then construct a model of physician learning-by-doing that fits these facts and generates two further predictions: both concentration (on one or a few drugs) and deviation (from the prescription patterns of others) should be smaller for high-volume physicians. We find empirical support for these predictions. Furthermore, our model outperforms an alternative theory concerning detailing by pharmaceutical representatives.</description><subject>Adult</subject><subject>Antipsychotic Agents - therapeutic use</subject><subject>Antipsychotic prescriptions</subject><subject>Deviation</subject><subject>Drugs</subject><subject>Economics</subject><subject>Female</subject><subject>Health</subject><subject>Health administration</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Male</subject><subject>Market shares</subject><subject>Markets</subject><subject>Mathematical models</subject><subject>Middle Aged</subject><subject>Models, Theoretical</subject><subject>Organizational learning</subject><subject>Pharmaceutical concentration</subject><subject>Physician learning</subject><subject>Physicians</subject><subject>Practice Patterns, Physicians' - statistics & numerical data</subject><subject>Prescriptions</subject><subject>Psychiatrists</subject><subject>Psychiatry - statistics & numerical data</subject><subject>Psychotropic drugs</subject><subject>Schizophrenia - drug therapy</subject><subject>Studies</subject><subject>United States</subject><issn>0167-6296</issn><issn>1879-1646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkU1r3DAQhkVpabZp_0IQ9NKL3dHK-uqpJfQLAr2kZyFL41hm19pK3oX995XZpIdeootAPO9oZh5Cbhi0DJj8OLXTiG6HPrVbYF3LWAvAX5AN08o0THbyJdlUUDVya-QVeVPKBPUIbl6Tq60QSvCu2xB7PyIdccGcHnDGuJxpGqhPs8d5yW7BQA8Zi8-xj_MD7XF0p5jyJ1pzKZ-pmwPFUwxYA3TIaV9flngoZz-mJfrylrwa3K7gu8f7mvz-9vX-9kdz9-v7z9svd43vJCyNgkFxI9CFLVe9EE4KyUWnjQfNjFfMKy6CZlx2ATwgSAwcdK8lQ-1A82vy4VL3kNOfI5bF7mPxuNu5GdOxWKYUcDB1_udRKaXRRoOp6Pv_0Ckd81wHWSnFZO1npeSF8jmVknGwhxz3Lp8tA7vaspN9smVXW5YxW23V4M1j-WO_x_Av9qSnAp8vANbVnSJmW3xcVx1iRr_YkOJzf_wFwuOoTA</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Berndt, Ernst R.</creator><creator>Gibbons, Robert S.</creator><creator>Kolotilin, Anton</creator><creator>Taub, Anna Levine</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7T2</scope><scope>8BJ</scope><scope>C1K</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20150301</creationdate><title>The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics</title><author>Berndt, Ernst R. ; Gibbons, Robert S. ; Kolotilin, Anton ; Taub, Anna Levine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-70f7395ead237b55a65635489c0819c71c735d81364d0c0e06ed308b861e8a083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Antipsychotic Agents - therapeutic use</topic><topic>Antipsychotic prescriptions</topic><topic>Deviation</topic><topic>Drugs</topic><topic>Economics</topic><topic>Female</topic><topic>Health</topic><topic>Health administration</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Male</topic><topic>Market shares</topic><topic>Markets</topic><topic>Mathematical models</topic><topic>Middle Aged</topic><topic>Models, Theoretical</topic><topic>Organizational learning</topic><topic>Pharmaceutical concentration</topic><topic>Physician learning</topic><topic>Physicians</topic><topic>Practice Patterns, Physicians' - statistics & numerical data</topic><topic>Prescriptions</topic><topic>Psychiatrists</topic><topic>Psychiatry - statistics & numerical data</topic><topic>Psychotropic drugs</topic><topic>Schizophrenia - drug therapy</topic><topic>Studies</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berndt, Ernst R.</creatorcontrib><creatorcontrib>Gibbons, Robert S.</creatorcontrib><creatorcontrib>Kolotilin, Anton</creatorcontrib><creatorcontrib>Taub, Anna Levine</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of health economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berndt, Ernst R.</au><au>Gibbons, Robert S.</au><au>Kolotilin, Anton</au><au>Taub, Anna Levine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics</atitle><jtitle>Journal of health economics</jtitle><addtitle>J Health Econ</addtitle><date>2015-03-01</date><risdate>2015</risdate><volume>40</volume><spage>26</spage><epage>39</epage><pages>26-39</pages><issn>0167-6296</issn><eissn>1879-1646</eissn><abstract>We present two new findings based on annual antipsychotic US prescribing data from IMS Health on 2867 psychiatrists who wrote 50 or more prescriptions in 2007. First, many of these psychiatrists have prescription patterns that are statistically significantly different than random draws from national market shares for prescriptions by psychiatrists. For example, many have prescription patterns that are significantly more concentrated than such draws. Second, among psychiatrists who are the most concentrated, different prescribers often concentrate on distinct drugs. Motivated by these two findings, we then construct a model of physician learning-by-doing that fits these facts and generates two further predictions: both concentration (on one or a few drugs) and deviation (from the prescription patterns of others) should be smaller for high-volume physicians. We find empirical support for these predictions. Furthermore, our model outperforms an alternative theory concerning detailing by pharmaceutical representatives.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>25575344</pmid><doi>10.1016/j.jhealeco.2014.11.003</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0167-6296 |
ispartof | Journal of health economics, 2015-03, Vol.40, p.26-39 |
issn | 0167-6296 1879-1646 |
language | eng |
recordid | cdi_proquest_miscellaneous_1770309053 |
source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Elsevier ScienceDirect Journals Complete |
subjects | Adult Antipsychotic Agents - therapeutic use Antipsychotic prescriptions Deviation Drugs Economics Female Health Health administration Heterogeneity Humans Male Market shares Markets Mathematical models Middle Aged Models, Theoretical Organizational learning Pharmaceutical concentration Physician learning Physicians Practice Patterns, Physicians' - statistics & numerical data Prescriptions Psychiatrists Psychiatry - statistics & numerical data Psychotropic drugs Schizophrenia - drug therapy Studies United States |
title | The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T20%3A08%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20heterogeneity%20of%20concentrated%20prescribing%20behavior:%20Theory%20and%20evidence%20from%20antipsychotics&rft.jtitle=Journal%20of%20health%20economics&rft.au=Berndt,%20Ernst%20R.&rft.date=2015-03-01&rft.volume=40&rft.spage=26&rft.epage=39&rft.pages=26-39&rft.issn=0167-6296&rft.eissn=1879-1646&rft_id=info:doi/10.1016/j.jhealeco.2014.11.003&rft_dat=%3Cproquest_cross%3E1770309053%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1667163649&rft_id=info:pmid/25575344&rft_els_id=S0167629614001404&rfr_iscdi=true |