DD-003 Assessment of indicators related to automated dispensing systems
BackgroundNew technologies have improved efficiency and safety of drug management in hospitals. From 2006 to 2009, six automated dispensing systems (ADS) (Pyxis) were implemented in five units at a tertiary hospital, and nurses were instructed on its use. The correct management of these systems is e...
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| Veröffentlicht in: | European journal of hospital pharmacy. Science and practice 2016-03, Vol.23 (Suppl 1), p.A105-A106 |
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| creator | de Palencia, MA Fernandez Rueda, MM Galindo Rivadeneyra, M Almanchel Otero, F Mendoza Molina, O Garcia de La Rubia Nieto, A |
| description | BackgroundNew technologies have improved efficiency and safety of drug management in hospitals. From 2006 to 2009, six automated dispensing systems (ADS) (Pyxis) were implemented in five units at a tertiary hospital, and nurses were instructed on its use. The correct management of these systems is essential for the proper performance and availability of drugs.PurposeTo assess indicators related to ADS, focused on discrepancies in stock.Material and methodsDuring 2013 and 2014, the number of dispensations (ND), inventories (NI) and resupplies (NR) in six ADS were collected using Web-Reporting software, as well as the number of discrepancies. Two indicators were defined and associated with ward dispensing mistakes:Inventory discrepancies (ID), percentage of the discrepancies detected during the inventory divided by NI. These are performed by nurses in each unit.Resupply discrepancies (RD), percentage of the discrepancies detected during the resupply divided by NR. These are corrected by pharmacy assistants.ResultsIn each of these five units, the following results were obtained:Emergency department:2013: ND: 84 529; NI: 1778; NR: 8816; ID: 54.2%; RD: 29.8%.2014: ND: 92 010; NI: 3378; NR: 9400; ID: 30.0%; RD: 28.1%.Postoperative care unit (two ADS):2013: ND: 52 824 and 30 071; NI: 2022 and 1546; NR: 7693 and 4931; ID: 50.1% and 34.7%; RD: 17.7% and 17.8%.2014: ND: 51 999 and 20 199; NI: 2774 and 1921; NR: 8089 and 3802; ID: 33.2% and 18.3%; RD: 17.3% and 16.2%.Pre-hospitalisation unit:2013: ND: 21 741; NI: 733; NR: 2323; ID: 49.4%; RD: 24.7%.2014: ND: 25 845; NI: 2568; NR: 2727; ID: 19.6%; RD: 23.7%.Short stay unit:2013: ND: 35 230; NI: 1262; NR: 3180; ID: 37.1%; RD: 21.6%.2014: ND: 34 521; NI: 1833; NR: 3235; ID: 18.3%; RD: 18.6%.Neonatal intensive care unit:2013: ND: 18 040; NI: 1112; NR: 2267; ID: 29.9%; RD: 29.9%.2014: ND: 17 548; NI: 1192; NR: 2370; ID: 14.4%; RD: 26.3%.ConclusionA high rate of discrepancies in the stock of medicines was found, with important differences among units. These indicators have shown the effectiveness of monitoring these processes. We need to establish a training programme for nurses to improve the management of ADS.No conflict of interest. |
| doi_str_mv | 10.1136/ejhpharm-2016-000875.238 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_bmj_p</sourceid><recordid>TN_cdi_proquest_journals_2552752184</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2552752184</sourcerecordid><originalsourceid>FETCH-LOGICAL-b1004-3dae1a788fa41a003b63edbfc33be29531820077104580aef15acb3fb91223e33</originalsourceid><addsrcrecordid>eNp9kE1PAjEQhhujiQT5D008L3Y67bZ7JOAHCYkXPTct25Ul7IdtOXDz4h_1l7iAevQ0M8kz82YeQiiwKQDmd3676Tc2NBlnkGeMMa3klKO-ICPOhMqKIheXf73Mr8kkxtoxiagLgcWILBeLYQ-_Pj5nMfoYG98m2lW0bst6bVMXIg1-Z5Mvaeqo3aeuOQ1lHXvfxrp9o_EQk2_iDbmq7C76yU8dk9eH-5f5U7Z6flzOZ6vMAWMiw9J6sErrygqwQ7TL0ZeuWiM6zwuJoDljSgETUjPrK5B27bByBXCOHnFMbs93-9C9731MZtvtQztEGi4lV5KDFv9RoLQQ-fA-DBSeKddsTR_qxoaDAWaOcs2vXHOUa85yzSAXvwG1Nm52</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1784469431</pqid></control><display><type>article</type><title>DD-003 Assessment of indicators related to automated dispensing systems</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>de Palencia, MA Fernandez ; Rueda, MM Galindo ; Rivadeneyra, M Almanchel ; Otero, F Mendoza ; Molina, O Garcia ; de La Rubia Nieto, A</creator><creatorcontrib>de Palencia, MA Fernandez ; Rueda, MM Galindo ; Rivadeneyra, M Almanchel ; Otero, F Mendoza ; Molina, O Garcia ; de La Rubia Nieto, A</creatorcontrib><description>BackgroundNew technologies have improved efficiency and safety of drug management in hospitals. From 2006 to 2009, six automated dispensing systems (ADS) (Pyxis) were implemented in five units at a tertiary hospital, and nurses were instructed on its use. The correct management of these systems is essential for the proper performance and availability of drugs.PurposeTo assess indicators related to ADS, focused on discrepancies in stock.Material and methodsDuring 2013 and 2014, the number of dispensations (ND), inventories (NI) and resupplies (NR) in six ADS were collected using Web-Reporting software, as well as the number of discrepancies. Two indicators were defined and associated with ward dispensing mistakes:Inventory discrepancies (ID), percentage of the discrepancies detected during the inventory divided by NI. These are performed by nurses in each unit.Resupply discrepancies (RD), percentage of the discrepancies detected during the resupply divided by NR. These are corrected by pharmacy assistants.ResultsIn each of these five units, the following results were obtained:Emergency department:2013: ND: 84 529; NI: 1778; NR: 8816; ID: 54.2%; RD: 29.8%.2014: ND: 92 010; NI: 3378; NR: 9400; ID: 30.0%; RD: 28.1%.Postoperative care unit (two ADS):2013: ND: 52 824 and 30 071; NI: 2022 and 1546; NR: 7693 and 4931; ID: 50.1% and 34.7%; RD: 17.7% and 17.8%.2014: ND: 51 999 and 20 199; NI: 2774 and 1921; NR: 8089 and 3802; ID: 33.2% and 18.3%; RD: 17.3% and 16.2%.Pre-hospitalisation unit:2013: ND: 21 741; NI: 733; NR: 2323; ID: 49.4%; RD: 24.7%.2014: ND: 25 845; NI: 2568; NR: 2727; ID: 19.6%; RD: 23.7%.Short stay unit:2013: ND: 35 230; NI: 1262; NR: 3180; ID: 37.1%; RD: 21.6%.2014: ND: 34 521; NI: 1833; NR: 3235; ID: 18.3%; RD: 18.6%.Neonatal intensive care unit:2013: ND: 18 040; NI: 1112; NR: 2267; ID: 29.9%; RD: 29.9%.2014: ND: 17 548; NI: 1192; NR: 2370; ID: 14.4%; RD: 26.3%.ConclusionA high rate of discrepancies in the stock of medicines was found, with important differences among units. These indicators have shown the effectiveness of monitoring these processes. We need to establish a training programme for nurses to improve the management of ADS.No conflict of interest.</description><identifier>ISSN: 2047-9956</identifier><identifier>EISSN: 2047-9964</identifier><identifier>DOI: 10.1136/ejhpharm-2016-000875.238</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><subject>Automation ; Nurses</subject><ispartof>European journal of hospital pharmacy. Science and practice, 2016-03, Vol.23 (Suppl 1), p.A105-A106</ispartof><rights>2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2016 (c) 2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>2016 2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>de Palencia, MA Fernandez</creatorcontrib><creatorcontrib>Rueda, MM Galindo</creatorcontrib><creatorcontrib>Rivadeneyra, M Almanchel</creatorcontrib><creatorcontrib>Otero, F Mendoza</creatorcontrib><creatorcontrib>Molina, O Garcia</creatorcontrib><creatorcontrib>de La Rubia Nieto, A</creatorcontrib><title>DD-003 Assessment of indicators related to automated dispensing systems</title><title>European journal of hospital pharmacy. Science and practice</title><description>BackgroundNew technologies have improved efficiency and safety of drug management in hospitals. From 2006 to 2009, six automated dispensing systems (ADS) (Pyxis) were implemented in five units at a tertiary hospital, and nurses were instructed on its use. The correct management of these systems is essential for the proper performance and availability of drugs.PurposeTo assess indicators related to ADS, focused on discrepancies in stock.Material and methodsDuring 2013 and 2014, the number of dispensations (ND), inventories (NI) and resupplies (NR) in six ADS were collected using Web-Reporting software, as well as the number of discrepancies. Two indicators were defined and associated with ward dispensing mistakes:Inventory discrepancies (ID), percentage of the discrepancies detected during the inventory divided by NI. These are performed by nurses in each unit.Resupply discrepancies (RD), percentage of the discrepancies detected during the resupply divided by NR. These are corrected by pharmacy assistants.ResultsIn each of these five units, the following results were obtained:Emergency department:2013: ND: 84 529; NI: 1778; NR: 8816; ID: 54.2%; RD: 29.8%.2014: ND: 92 010; NI: 3378; NR: 9400; ID: 30.0%; RD: 28.1%.Postoperative care unit (two ADS):2013: ND: 52 824 and 30 071; NI: 2022 and 1546; NR: 7693 and 4931; ID: 50.1% and 34.7%; RD: 17.7% and 17.8%.2014: ND: 51 999 and 20 199; NI: 2774 and 1921; NR: 8089 and 3802; ID: 33.2% and 18.3%; RD: 17.3% and 16.2%.Pre-hospitalisation unit:2013: ND: 21 741; NI: 733; NR: 2323; ID: 49.4%; RD: 24.7%.2014: ND: 25 845; NI: 2568; NR: 2727; ID: 19.6%; RD: 23.7%.Short stay unit:2013: ND: 35 230; NI: 1262; NR: 3180; ID: 37.1%; RD: 21.6%.2014: ND: 34 521; NI: 1833; NR: 3235; ID: 18.3%; RD: 18.6%.Neonatal intensive care unit:2013: ND: 18 040; NI: 1112; NR: 2267; ID: 29.9%; RD: 29.9%.2014: ND: 17 548; NI: 1192; NR: 2370; ID: 14.4%; RD: 26.3%.ConclusionA high rate of discrepancies in the stock of medicines was found, with important differences among units. These indicators have shown the effectiveness of monitoring these processes. We need to establish a training programme for nurses to improve the management of ADS.No conflict of interest.</description><subject>Automation</subject><subject>Nurses</subject><issn>2047-9956</issn><issn>2047-9964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1PAjEQhhujiQT5D008L3Y67bZ7JOAHCYkXPTct25Ul7IdtOXDz4h_1l7iAevQ0M8kz82YeQiiwKQDmd3676Tc2NBlnkGeMMa3klKO-ICPOhMqKIheXf73Mr8kkxtoxiagLgcWILBeLYQ-_Pj5nMfoYG98m2lW0bst6bVMXIg1-Z5Mvaeqo3aeuOQ1lHXvfxrp9o_EQk2_iDbmq7C76yU8dk9eH-5f5U7Z6flzOZ6vMAWMiw9J6sErrygqwQ7TL0ZeuWiM6zwuJoDljSgETUjPrK5B27bByBXCOHnFMbs93-9C9731MZtvtQztEGi4lV5KDFv9RoLQQ-fA-DBSeKddsTR_qxoaDAWaOcs2vXHOUa85yzSAXvwG1Nm52</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>de Palencia, MA Fernandez</creator><creator>Rueda, MM Galindo</creator><creator>Rivadeneyra, M Almanchel</creator><creator>Otero, F Mendoza</creator><creator>Molina, O Garcia</creator><creator>de La Rubia Nieto, A</creator><general>BMJ Publishing Group LTD</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>201603</creationdate><title>DD-003 Assessment of indicators related to automated dispensing systems</title><author>de Palencia, MA Fernandez ; Rueda, MM Galindo ; Rivadeneyra, M Almanchel ; Otero, F Mendoza ; Molina, O Garcia ; de La Rubia Nieto, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1004-3dae1a788fa41a003b63edbfc33be29531820077104580aef15acb3fb91223e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Automation</topic><topic>Nurses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Palencia, MA Fernandez</creatorcontrib><creatorcontrib>Rueda, MM Galindo</creatorcontrib><creatorcontrib>Rivadeneyra, M Almanchel</creatorcontrib><creatorcontrib>Otero, F Mendoza</creatorcontrib><creatorcontrib>Molina, O Garcia</creatorcontrib><creatorcontrib>de La Rubia Nieto, A</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (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><jtitle>European journal of hospital pharmacy. Science and practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Palencia, MA Fernandez</au><au>Rueda, MM Galindo</au><au>Rivadeneyra, M Almanchel</au><au>Otero, F Mendoza</au><au>Molina, O Garcia</au><au>de La Rubia Nieto, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DD-003 Assessment of indicators related to automated dispensing systems</atitle><jtitle>European journal of hospital pharmacy. Science and practice</jtitle><date>2016-03</date><risdate>2016</risdate><volume>23</volume><issue>Suppl 1</issue><spage>A105</spage><epage>A106</epage><pages>A105-A106</pages><issn>2047-9956</issn><eissn>2047-9964</eissn><abstract>BackgroundNew technologies have improved efficiency and safety of drug management in hospitals. From 2006 to 2009, six automated dispensing systems (ADS) (Pyxis) were implemented in five units at a tertiary hospital, and nurses were instructed on its use. The correct management of these systems is essential for the proper performance and availability of drugs.PurposeTo assess indicators related to ADS, focused on discrepancies in stock.Material and methodsDuring 2013 and 2014, the number of dispensations (ND), inventories (NI) and resupplies (NR) in six ADS were collected using Web-Reporting software, as well as the number of discrepancies. Two indicators were defined and associated with ward dispensing mistakes:Inventory discrepancies (ID), percentage of the discrepancies detected during the inventory divided by NI. These are performed by nurses in each unit.Resupply discrepancies (RD), percentage of the discrepancies detected during the resupply divided by NR. These are corrected by pharmacy assistants.ResultsIn each of these five units, the following results were obtained:Emergency department:2013: ND: 84 529; NI: 1778; NR: 8816; ID: 54.2%; RD: 29.8%.2014: ND: 92 010; NI: 3378; NR: 9400; ID: 30.0%; RD: 28.1%.Postoperative care unit (two ADS):2013: ND: 52 824 and 30 071; NI: 2022 and 1546; NR: 7693 and 4931; ID: 50.1% and 34.7%; RD: 17.7% and 17.8%.2014: ND: 51 999 and 20 199; NI: 2774 and 1921; NR: 8089 and 3802; ID: 33.2% and 18.3%; RD: 17.3% and 16.2%.Pre-hospitalisation unit:2013: ND: 21 741; NI: 733; NR: 2323; ID: 49.4%; RD: 24.7%.2014: ND: 25 845; NI: 2568; NR: 2727; ID: 19.6%; RD: 23.7%.Short stay unit:2013: ND: 35 230; NI: 1262; NR: 3180; ID: 37.1%; RD: 21.6%.2014: ND: 34 521; NI: 1833; NR: 3235; ID: 18.3%; RD: 18.6%.Neonatal intensive care unit:2013: ND: 18 040; NI: 1112; NR: 2267; ID: 29.9%; RD: 29.9%.2014: ND: 17 548; NI: 1192; NR: 2370; ID: 14.4%; RD: 26.3%.ConclusionA high rate of discrepancies in the stock of medicines was found, with important differences among units. These indicators have shown the effectiveness of monitoring these processes. We need to establish a training programme for nurses to improve the management of ADS.No conflict of interest.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/ejhpharm-2016-000875.238</doi></addata></record> |
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| subjects | Automation Nurses |
| title | DD-003 Assessment of indicators related to automated dispensing systems |
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