Comparison of Computerized Prescription Support Systems in COVID-19 Patients: INTERCheck and Drug-PIN
The coronavirus disease 19 (COVID-19) infection requires major efforts in healthcare systems, due to the high risk of mortality, particularly in subjects with significant comorbidity (≥ 2 pathologies) and polypharmacy (≥ 5 drugs). The treatment of COVID-19 needs a careful evaluation, to reduce the r...
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| Veröffentlicht in: | SN comprehensive clinical medicine 2022, Vol.4 (1), p.3-3, Article 3 |
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| creator | Martocchia, Antonio Bruscia, Clara Conforti, Giulia Falangone, Francesca Marini, Valentina Pennica, Alfredo Pezzuto, Aldo March, Massimiliano Rocchietti Sentimentale, Alberto Spuntarelli, Valerio Tafaro, Laura Ricci, Alberto Simmaco, Maurizio Sesti, Giorgio Preissner, Robert Martelletti, Paolo |
| description | The coronavirus disease 19 (COVID-19) infection requires major efforts in healthcare systems, due to the high risk of mortality, particularly in subjects with significant comorbidity (≥ 2 pathologies) and polypharmacy (≥ 5 drugs). The treatment of COVID-19 needs a careful evaluation, to reduce the risk of potentially adverse drug reactions. The aim of the study was to examine the use of computerized prescription support in the management and treatment of the COVID-19 infection. We evaluated n.33 patients (51% females) admitted to the west COVID Low-Medium Intensity of Care of Sant’Andrea Hospital during the period March–April 2020 and n.42 subjects (50% females) admitted to the Internal Medicine ward (as control group), by INTERCheck® and Drug-PIN®. The comorbidity (n. pathologies), polypharmacy (n. drugs), and total INTERCheck score in COVID-19 patients and controls were, respectively (mean ± standard deviation): 5.8 ± 3.8, 7.9 ± 4.5, and 9.2 ± 7.1 and 6.8 ± 2.6, 8.0 ± 2.6, and 4.9 ± 3.8 (statistically significant for comorbidity
p
|
| doi_str_mv | 10.1007/s42399-021-01079-9 |
| format | Article |
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p
< 0.01 and INTERCheck score
p
< 0.01). The correlation between the scores obtained by the INTERCheck and Drug-PIN software was statistically significant, either at admission (
p
< 0.0000001) or during hospitalization (
p
< 0.00000001). Both the computerized prescription support systems, INTERCheck® and Drug-PIN®, are useful to better characterize the patients and to ameliorate the drugs prescriptions in COVID-19 infection, with particular attention to the elderly population.</description><identifier>ISSN: 2523-8973</identifier><identifier>EISSN: 2523-8973</identifier><identifier>DOI: 10.1007/s42399-021-01079-9</identifier><identifier>PMID: 34977463</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Brief Communication ; Medicine ; Medicine & Public Health ; Topical Collection on COVID-19</subject><ispartof>SN comprehensive clinical medicine, 2022, Vol.4 (1), p.3-3, Article 3</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2919-5b038dbbb69a531a680a7304b849817765296ca5fa36147f44a8b7ffb38566fa3</citedby><cites>FETCH-LOGICAL-c2919-5b038dbbb69a531a680a7304b849817765296ca5fa36147f44a8b7ffb38566fa3</cites><orcidid>0000-0002-6201-5377</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s42399-021-01079-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s42399-021-01079-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,4024,27923,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34977463$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Martocchia, Antonio</creatorcontrib><creatorcontrib>Bruscia, Clara</creatorcontrib><creatorcontrib>Conforti, Giulia</creatorcontrib><creatorcontrib>Falangone, Francesca</creatorcontrib><creatorcontrib>Marini, Valentina</creatorcontrib><creatorcontrib>Pennica, Alfredo</creatorcontrib><creatorcontrib>Pezzuto, Aldo</creatorcontrib><creatorcontrib>March, Massimiliano Rocchietti</creatorcontrib><creatorcontrib>Sentimentale, Alberto</creatorcontrib><creatorcontrib>Spuntarelli, Valerio</creatorcontrib><creatorcontrib>Tafaro, Laura</creatorcontrib><creatorcontrib>Ricci, Alberto</creatorcontrib><creatorcontrib>Simmaco, Maurizio</creatorcontrib><creatorcontrib>Sesti, Giorgio</creatorcontrib><creatorcontrib>Preissner, Robert</creatorcontrib><creatorcontrib>Martelletti, Paolo</creatorcontrib><title>Comparison of Computerized Prescription Support Systems in COVID-19 Patients: INTERCheck and Drug-PIN</title><title>SN comprehensive clinical medicine</title><addtitle>SN Compr. Clin. Med</addtitle><addtitle>SN Compr Clin Med</addtitle><description>The coronavirus disease 19 (COVID-19) infection requires major efforts in healthcare systems, due to the high risk of mortality, particularly in subjects with significant comorbidity (≥ 2 pathologies) and polypharmacy (≥ 5 drugs). The treatment of COVID-19 needs a careful evaluation, to reduce the risk of potentially adverse drug reactions. The aim of the study was to examine the use of computerized prescription support in the management and treatment of the COVID-19 infection. We evaluated n.33 patients (51% females) admitted to the west COVID Low-Medium Intensity of Care of Sant’Andrea Hospital during the period March–April 2020 and n.42 subjects (50% females) admitted to the Internal Medicine ward (as control group), by INTERCheck® and Drug-PIN®. The comorbidity (n. pathologies), polypharmacy (n. drugs), and total INTERCheck score in COVID-19 patients and controls were, respectively (mean ± standard deviation): 5.8 ± 3.8, 7.9 ± 4.5, and 9.2 ± 7.1 and 6.8 ± 2.6, 8.0 ± 2.6, and 4.9 ± 3.8 (statistically significant for comorbidity
p
< 0.01 and INTERCheck score
p
< 0.01). The correlation between the scores obtained by the INTERCheck and Drug-PIN software was statistically significant, either at admission (
p
< 0.0000001) or during hospitalization (
p
< 0.00000001). Both the computerized prescription support systems, INTERCheck® and Drug-PIN®, are useful to better characterize the patients and to ameliorate the drugs prescriptions in COVID-19 infection, with particular attention to the elderly population.</description><subject>Brief Communication</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Topical Collection on COVID-19</subject><issn>2523-8973</issn><issn>2523-8973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kUtP3DAUhS1UxKCBP8ACedmNi9-Ou6hUBWhHQjDitbWcjDNjOolTO0Ga_npMBxBsWPlxvnvu1T0AHBH8jWCsThKnTGuEKUGYYKWR3gH7VFCGCq3Yl3f3CThM6QHjjHIusNoDE8a1UlyyfeDK0PY2-hQ6GBr4_BoHF_0_t4Dz6FIdfT_4LN6MfR_iAG82aXBtgr6D5dX97BQRDed28K4b0nc4u7w9uy5Xrv4DbbeAp3Fcovns8gDsNnad3OHLOQV352e35W90cfVrVv68QDXVRCNRYVYsqqqS2gpGrCywVQzzquC6IEpJQbWsrWgsk4SrhnNbVKppKlYIKfPvFPzY-vZj1bpFnYeKdm366FsbNyZYbz4qnV-ZZXg0hSJYM5INvr4YxPB3dGkwrU-1W69t58KYDJVEUo2FkBmlW7SOIaXomrc2BJvniMw2IpP3bv5HZHQuOn4_4FvJayAZYFsgZalbumgewhi7vLTPbJ8Aoteb3Q</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Martocchia, Antonio</creator><creator>Bruscia, Clara</creator><creator>Conforti, Giulia</creator><creator>Falangone, Francesca</creator><creator>Marini, Valentina</creator><creator>Pennica, Alfredo</creator><creator>Pezzuto, Aldo</creator><creator>March, Massimiliano Rocchietti</creator><creator>Sentimentale, Alberto</creator><creator>Spuntarelli, Valerio</creator><creator>Tafaro, Laura</creator><creator>Ricci, Alberto</creator><creator>Simmaco, Maurizio</creator><creator>Sesti, Giorgio</creator><creator>Preissner, Robert</creator><creator>Martelletti, Paolo</creator><general>Springer International Publishing</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6201-5377</orcidid></search><sort><creationdate>2022</creationdate><title>Comparison of Computerized Prescription Support Systems in COVID-19 Patients: INTERCheck and Drug-PIN</title><author>Martocchia, Antonio ; Bruscia, Clara ; Conforti, Giulia ; Falangone, Francesca ; Marini, Valentina ; Pennica, Alfredo ; Pezzuto, Aldo ; March, Massimiliano Rocchietti ; Sentimentale, Alberto ; Spuntarelli, Valerio ; Tafaro, Laura ; Ricci, Alberto ; Simmaco, Maurizio ; Sesti, Giorgio ; Preissner, Robert ; Martelletti, Paolo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2919-5b038dbbb69a531a680a7304b849817765296ca5fa36147f44a8b7ffb38566fa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brief Communication</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Topical Collection on COVID-19</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martocchia, Antonio</creatorcontrib><creatorcontrib>Bruscia, Clara</creatorcontrib><creatorcontrib>Conforti, Giulia</creatorcontrib><creatorcontrib>Falangone, Francesca</creatorcontrib><creatorcontrib>Marini, Valentina</creatorcontrib><creatorcontrib>Pennica, Alfredo</creatorcontrib><creatorcontrib>Pezzuto, Aldo</creatorcontrib><creatorcontrib>March, Massimiliano Rocchietti</creatorcontrib><creatorcontrib>Sentimentale, Alberto</creatorcontrib><creatorcontrib>Spuntarelli, Valerio</creatorcontrib><creatorcontrib>Tafaro, Laura</creatorcontrib><creatorcontrib>Ricci, Alberto</creatorcontrib><creatorcontrib>Simmaco, Maurizio</creatorcontrib><creatorcontrib>Sesti, Giorgio</creatorcontrib><creatorcontrib>Preissner, Robert</creatorcontrib><creatorcontrib>Martelletti, Paolo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>SN comprehensive clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martocchia, Antonio</au><au>Bruscia, Clara</au><au>Conforti, Giulia</au><au>Falangone, Francesca</au><au>Marini, Valentina</au><au>Pennica, Alfredo</au><au>Pezzuto, Aldo</au><au>March, Massimiliano Rocchietti</au><au>Sentimentale, Alberto</au><au>Spuntarelli, Valerio</au><au>Tafaro, Laura</au><au>Ricci, Alberto</au><au>Simmaco, Maurizio</au><au>Sesti, Giorgio</au><au>Preissner, Robert</au><au>Martelletti, Paolo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of Computerized Prescription Support Systems in COVID-19 Patients: INTERCheck and Drug-PIN</atitle><jtitle>SN comprehensive clinical medicine</jtitle><stitle>SN Compr. Clin. Med</stitle><addtitle>SN Compr Clin Med</addtitle><date>2022</date><risdate>2022</risdate><volume>4</volume><issue>1</issue><spage>3</spage><epage>3</epage><pages>3-3</pages><artnum>3</artnum><issn>2523-8973</issn><eissn>2523-8973</eissn><abstract>The coronavirus disease 19 (COVID-19) infection requires major efforts in healthcare systems, due to the high risk of mortality, particularly in subjects with significant comorbidity (≥ 2 pathologies) and polypharmacy (≥ 5 drugs). The treatment of COVID-19 needs a careful evaluation, to reduce the risk of potentially adverse drug reactions. The aim of the study was to examine the use of computerized prescription support in the management and treatment of the COVID-19 infection. We evaluated n.33 patients (51% females) admitted to the west COVID Low-Medium Intensity of Care of Sant’Andrea Hospital during the period March–April 2020 and n.42 subjects (50% females) admitted to the Internal Medicine ward (as control group), by INTERCheck® and Drug-PIN®. The comorbidity (n. pathologies), polypharmacy (n. drugs), and total INTERCheck score in COVID-19 patients and controls were, respectively (mean ± standard deviation): 5.8 ± 3.8, 7.9 ± 4.5, and 9.2 ± 7.1 and 6.8 ± 2.6, 8.0 ± 2.6, and 4.9 ± 3.8 (statistically significant for comorbidity
p
< 0.01 and INTERCheck score
p
< 0.01). The correlation between the scores obtained by the INTERCheck and Drug-PIN software was statistically significant, either at admission (
p
< 0.0000001) or during hospitalization (
p
< 0.00000001). Both the computerized prescription support systems, INTERCheck® and Drug-PIN®, are useful to better characterize the patients and to ameliorate the drugs prescriptions in COVID-19 infection, with particular attention to the elderly population.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>34977463</pmid><doi>10.1007/s42399-021-01079-9</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-6201-5377</orcidid><oa>free_for_read</oa></addata></record> |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Brief Communication Medicine Medicine & Public Health Topical Collection on COVID-19 |
| title | Comparison of Computerized Prescription Support Systems in COVID-19 Patients: INTERCheck and Drug-PIN |
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