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Relationship between facility number of clinicians and prescribing intensity of psychotropic medications, opioids, and antibiotics in ambulatory practice
Promoting appropriate pharmacotherapy requires understanding the factors that influence how clinicians prescribe medications. While prior work has focused on patient and clinician factors, features of the organizational setting have received less attention, though identifying sources of variation in...
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Published in: | BMC health services research 2024-02, Vol.24 (1), p.217-8, Article 217 |
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description | Promoting appropriate pharmacotherapy requires understanding the factors that influence how clinicians prescribe medications. While prior work has focused on patient and clinician factors, features of the organizational setting have received less attention, though identifying sources of variation in prescribing may help identify opportunities to improve patient safety and outcomes.
To evaluate the relationship between the number of clinicians who prescribe medications in a facility and facility prescribing intensity of six individual medication classes by clinician specialty: benzodiazepines, antipsychotics, antiepileptics, and antidepressants by psychiatrists and antibiotics, opioids, antiepileptics, and antidepressants by primary care clinicians (PCPs).
We used 2017 Veterans Health Administration (VHA) administrative data.
We included patient-clinician dyads of older patients (> 55 years) with an outpatient encounter with a clinician in 2017. Patient-clinician data from 140 VHA facilities were included (n = 13,347,658). Analysis was repeated for years 2014 to 2016.
For each medication, facility prescribing intensity measures were calculated as clinician prescribing intensity averaged over all clinicians at each facility. Clinician prescribing intensity measures included percentage of each clinician's patients prescribed the medication and mean number of days supply per patient among all patients of each clinician.
As the number of prescribing clinicians in a facility increased, the intensity of prescribing decreased. Every increase of 10 facility clinicians was associated with a significant decline in prescribing intensity for both specialties for different medication classes: for psychiatrists, declines ranged from 6 to 11%, and for PCPs, from 2 to 3%. The pattern of more clinicians less prescribing was significant across all years.
Future work should explore the mechanisms that link the number of facility clinicians with prescribing intensity for benzodiazepines, antipsychotics, antiepileptics, antidepressants, antibiotics, and opioids. Facilities with fewer clinicians may need additional resources to avoid unwanted prescribing of potentially harmful or unnecessary medications. |
doi_str_mv | 10.1186/s12913-024-10613-z |
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To evaluate the relationship between the number of clinicians who prescribe medications in a facility and facility prescribing intensity of six individual medication classes by clinician specialty: benzodiazepines, antipsychotics, antiepileptics, and antidepressants by psychiatrists and antibiotics, opioids, antiepileptics, and antidepressants by primary care clinicians (PCPs).
We used 2017 Veterans Health Administration (VHA) administrative data.
We included patient-clinician dyads of older patients (> 55 years) with an outpatient encounter with a clinician in 2017. Patient-clinician data from 140 VHA facilities were included (n = 13,347,658). Analysis was repeated for years 2014 to 2016.
For each medication, facility prescribing intensity measures were calculated as clinician prescribing intensity averaged over all clinicians at each facility. Clinician prescribing intensity measures included percentage of each clinician's patients prescribed the medication and mean number of days supply per patient among all patients of each clinician.
As the number of prescribing clinicians in a facility increased, the intensity of prescribing decreased. Every increase of 10 facility clinicians was associated with a significant decline in prescribing intensity for both specialties for different medication classes: for psychiatrists, declines ranged from 6 to 11%, and for PCPs, from 2 to 3%. The pattern of more clinicians less prescribing was significant across all years.
Future work should explore the mechanisms that link the number of facility clinicians with prescribing intensity for benzodiazepines, antipsychotics, antiepileptics, antidepressants, antibiotics, and opioids. Facilities with fewer clinicians may need additional resources to avoid unwanted prescribing of potentially harmful or unnecessary medications.</description><identifier>ISSN: 1472-6963</identifier><identifier>EISSN: 1472-6963</identifier><identifier>DOI: 10.1186/s12913-024-10613-z</identifier><identifier>PMID: 38365679</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Antibiotics ; Antidepressants ; Antipsychotics ; Benzodiazepines ; Datasets ; Dosage and administration ; Forecasts and trends ; Influence ; Medical personnel ; Narcotics ; Number of clinicians ; Nursing homes ; Opioids ; Patients ; Physicians ; Prescribing intensity ; Prescription writing ; Primary care ; Psychiatrists ; Psychotropic drugs ; Psychotropics ; Statistical analysis ; Statistics ; Taxonomy</subject><ispartof>BMC health services research, 2024-02, Vol.24 (1), p.217-8, Article 217</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c459t-4c33760f7905f28c835d918923300c95cce6df6dfdfb17b4f3bd0e4fffbe8cf93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2956854804?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11688,25753,27924,27925,36060,36061,37012,37013,44363,44590</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38365679$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Hyungjin Myra</creatorcontrib><creatorcontrib>Strominger, Julie</creatorcontrib><creatorcontrib>Zivin, Kara</creatorcontrib><creatorcontrib>Van, Tony</creatorcontrib><creatorcontrib>Maust, Donovan T</creatorcontrib><title>Relationship between facility number of clinicians and prescribing intensity of psychotropic medications, opioids, and antibiotics in ambulatory practice</title><title>BMC health services research</title><addtitle>BMC Health Serv Res</addtitle><description>Promoting appropriate pharmacotherapy requires understanding the factors that influence how clinicians prescribe medications. While prior work has focused on patient and clinician factors, features of the organizational setting have received less attention, though identifying sources of variation in prescribing may help identify opportunities to improve patient safety and outcomes.
To evaluate the relationship between the number of clinicians who prescribe medications in a facility and facility prescribing intensity of six individual medication classes by clinician specialty: benzodiazepines, antipsychotics, antiepileptics, and antidepressants by psychiatrists and antibiotics, opioids, antiepileptics, and antidepressants by primary care clinicians (PCPs).
We used 2017 Veterans Health Administration (VHA) administrative data.
We included patient-clinician dyads of older patients (> 55 years) with an outpatient encounter with a clinician in 2017. Patient-clinician data from 140 VHA facilities were included (n = 13,347,658). Analysis was repeated for years 2014 to 2016.
For each medication, facility prescribing intensity measures were calculated as clinician prescribing intensity averaged over all clinicians at each facility. Clinician prescribing intensity measures included percentage of each clinician's patients prescribed the medication and mean number of days supply per patient among all patients of each clinician.
As the number of prescribing clinicians in a facility increased, the intensity of prescribing decreased. Every increase of 10 facility clinicians was associated with a significant decline in prescribing intensity for both specialties for different medication classes: for psychiatrists, declines ranged from 6 to 11%, and for PCPs, from 2 to 3%. The pattern of more clinicians less prescribing was significant across all years.
Future work should explore the mechanisms that link the number of facility clinicians with prescribing intensity for benzodiazepines, antipsychotics, antiepileptics, antidepressants, antibiotics, and opioids. Facilities with fewer clinicians may need additional resources to avoid unwanted prescribing of potentially harmful or unnecessary medications.</description><subject>Antibiotics</subject><subject>Antidepressants</subject><subject>Antipsychotics</subject><subject>Benzodiazepines</subject><subject>Datasets</subject><subject>Dosage and administration</subject><subject>Forecasts and trends</subject><subject>Influence</subject><subject>Medical personnel</subject><subject>Narcotics</subject><subject>Number of clinicians</subject><subject>Nursing homes</subject><subject>Opioids</subject><subject>Patients</subject><subject>Physicians</subject><subject>Prescribing intensity</subject><subject>Prescription writing</subject><subject>Primary care</subject><subject>Psychiatrists</subject><subject>Psychotropic drugs</subject><subject>Psychotropics</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Taxonomy</subject><issn>1472-6963</issn><issn>1472-6963</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUstq3TAQNaWlSdP-QBdF0E0WdaqXbWkZQh-BQKG0ayGPpRtdbMmVbMLNn_RvMzc3TR8UCWkYzjma0Zyqes3oGWOqfV8Y10zUlMua0Raj2yfVMZMdr1vdiqd_xEfVi1K2lLJO8e55dSSUaJu208fVz69utEtIsVyHmfRuuXEuEm8hjGHZkbhOvcskeQJjiAGCjYXYOJA5uwI59CFuSIiLi2UPR9xcdnCdlpzmAGRyQ4CD_DuCmRQGDPZ8GxckpyVAQT6xU79iHSnvUNkCpt3L6pm3Y3GvHu6T6vvHD98uPtdXXz5dXpxf1SAbvdQShOha6jtNG88VKNEMminNhaAUdAPg2sHjHnzPul560Q_USe997xR4LU6qy4PukOzWzDlMNu9MssHcJ1LeGJuxoNEZKxqgDe-UlyAxVkyrTlHRc-G91QK1Tg9ac04_VlcWM4UCbhxtdGkthmuuuJRaMIS-_Qe6TWuO2CmimlY1UlH5G7Wx-H6IHn_Wwl7UnOMsFRd4IursPyhcg5sCpOh8wPxfBH4gQE6lZOcf-2bU7L1lDt4y6C1z7y1zi6Q3DxWvPQ72kfLLTOIOWUPMQw</recordid><startdate>20240216</startdate><enddate>20240216</enddate><creator>Kim, Hyungjin Myra</creator><creator>Strominger, Julie</creator><creator>Zivin, Kara</creator><creator>Van, Tony</creator><creator>Maust, Donovan T</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20240216</creationdate><title>Relationship between facility number of clinicians and prescribing intensity of psychotropic medications, opioids, and antibiotics in ambulatory practice</title><author>Kim, Hyungjin Myra ; Strominger, Julie ; Zivin, Kara ; Van, Tony ; Maust, Donovan T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-4c33760f7905f28c835d918923300c95cce6df6dfdfb17b4f3bd0e4fffbe8cf93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Antibiotics</topic><topic>Antidepressants</topic><topic>Antipsychotics</topic><topic>Benzodiazepines</topic><topic>Datasets</topic><topic>Dosage and administration</topic><topic>Forecasts and trends</topic><topic>Influence</topic><topic>Medical personnel</topic><topic>Narcotics</topic><topic>Number of clinicians</topic><topic>Nursing homes</topic><topic>Opioids</topic><topic>Patients</topic><topic>Physicians</topic><topic>Prescribing intensity</topic><topic>Prescription writing</topic><topic>Primary care</topic><topic>Psychiatrists</topic><topic>Psychotropic drugs</topic><topic>Psychotropics</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Taxonomy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Hyungjin Myra</creatorcontrib><creatorcontrib>Strominger, Julie</creatorcontrib><creatorcontrib>Zivin, Kara</creatorcontrib><creatorcontrib>Van, Tony</creatorcontrib><creatorcontrib>Maust, Donovan T</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Health Management Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Directory of Open Access Journals</collection><jtitle>BMC health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Hyungjin Myra</au><au>Strominger, Julie</au><au>Zivin, Kara</au><au>Van, Tony</au><au>Maust, Donovan T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between facility number of clinicians and prescribing intensity of psychotropic medications, opioids, and antibiotics in ambulatory practice</atitle><jtitle>BMC health services research</jtitle><addtitle>BMC Health Serv Res</addtitle><date>2024-02-16</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>217</spage><epage>8</epage><pages>217-8</pages><artnum>217</artnum><issn>1472-6963</issn><eissn>1472-6963</eissn><abstract>Promoting appropriate pharmacotherapy requires understanding the factors that influence how clinicians prescribe medications. While prior work has focused on patient and clinician factors, features of the organizational setting have received less attention, though identifying sources of variation in prescribing may help identify opportunities to improve patient safety and outcomes.
To evaluate the relationship between the number of clinicians who prescribe medications in a facility and facility prescribing intensity of six individual medication classes by clinician specialty: benzodiazepines, antipsychotics, antiepileptics, and antidepressants by psychiatrists and antibiotics, opioids, antiepileptics, and antidepressants by primary care clinicians (PCPs).
We used 2017 Veterans Health Administration (VHA) administrative data.
We included patient-clinician dyads of older patients (> 55 years) with an outpatient encounter with a clinician in 2017. Patient-clinician data from 140 VHA facilities were included (n = 13,347,658). Analysis was repeated for years 2014 to 2016.
For each medication, facility prescribing intensity measures were calculated as clinician prescribing intensity averaged over all clinicians at each facility. Clinician prescribing intensity measures included percentage of each clinician's patients prescribed the medication and mean number of days supply per patient among all patients of each clinician.
As the number of prescribing clinicians in a facility increased, the intensity of prescribing decreased. Every increase of 10 facility clinicians was associated with a significant decline in prescribing intensity for both specialties for different medication classes: for psychiatrists, declines ranged from 6 to 11%, and for PCPs, from 2 to 3%. The pattern of more clinicians less prescribing was significant across all years.
Future work should explore the mechanisms that link the number of facility clinicians with prescribing intensity for benzodiazepines, antipsychotics, antiepileptics, antidepressants, antibiotics, and opioids. Facilities with fewer clinicians may need additional resources to avoid unwanted prescribing of potentially harmful or unnecessary medications.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38365679</pmid><doi>10.1186/s12913-024-10613-z</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Antibiotics Antidepressants Antipsychotics Benzodiazepines Datasets Dosage and administration Forecasts and trends Influence Medical personnel Narcotics Number of clinicians Nursing homes Opioids Patients Physicians Prescribing intensity Prescription writing Primary care Psychiatrists Psychotropic drugs Psychotropics Statistical analysis Statistics Taxonomy |
title | Relationship between facility number of clinicians and prescribing intensity of psychotropic medications, opioids, and antibiotics in ambulatory practice |
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