48 An evidence-based approach to prescribing post-discharge opioids after laparotomy Article Swipe
Allison H. Kay
,
Rachel A. Levy
,
Nancy K. Hills
,
Allyson Jang
,
Alison McGough-Maduena
,
Natalia Dematteo
,
Melissa Mark
,
Stefanie Ueda
,
Lee-may Chen
,
Jocelyn Chapman
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/s2352-5789(23)00269-2
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/s2352-5789(23)00269-2
To develop and implement an evidence-based calculator to inform post-discharge opioid prescription size for gynecologic oncology patients after laparotomy. In 2021, open surgical gynecologic oncology patients were called 2–4 weeks after surgery to ask about their home opioid use and assess refill rates as well as satisfaction with their post-discharge opioid prescription size. This data was used to develop a predictive model for self-reported opioid use using two factors: 1) age of the patient, 2) oral morphine equivalents (OME) used by patients the day before hospital discharge. A 50% increase in the predictive model was incorporated in our final calculator to balance over- and under-prescription Our calculator was implemented on the inpatient service from 8/21/22 to present and patients were contacted 2–4 weeks after surgery to again assess their total opioid use at home, need for an opioid refill, and satisfaction with their post-discharge opioid prescription. "Pre-calc" and "post-calc" data are compared. Data from 95 pre-calc surveys were used for the development of our opioid prescription size calculator. 83 post-calc surveys have been conducted thus far. There were fewer pre-calc hysterectomies performed than post-calc (66% vs 81%, p=0.03) but there was no difference pre- to post-calc in bowel resections or adnexal procedures performed, nor was there a difference in hospital length of stay. Postoperative pain management with an epidural or transversus abdominis plane (TAP) block did not differ between the two cohorts. The median opioid prescription size decreased from 150 to 37.5 OME (p<0.01) and self-reported use of opioids at home decreased from 22.5 to 0 OME (p=0.04). Refill rate was 12.6% pre-calc and 12.0% post-calc (p=0.91). The surplus of opioids our patients reported having at home decreased from 1331 excess doses of 5mg oxycodone tabs per 100 patients, to 571 doses per 100 patients. Patient response that they received "too few" opioids post-discharge did not statistically differ from pre- to post-calc (12.6% vs 20.5%, p=0.16). Table 1. IPOD Calculator: recommended opioid prescription size at hospital discharge for patients after laparotomy Download : Download high-res image (163KB)Download : Download full-size image An evidence-based approach for prescribing opioids to patients after laparotomy decreased the surplus of opioids we introduced into our patients' communities without impacting refill rates or patient satisfaction.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/s2352-5789(23)00269-2
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386777087
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386777087Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/s2352-5789(23)00269-2Digital Object Identifier
- Title
-
48 An evidence-based approach to prescribing post-discharge opioids after laparotomyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-01Full publication date if available
- Authors
-
Allison H. Kay, Rachel A. Levy, Nancy K. Hills, Allyson Jang, Alison McGough-Maduena, Natalia Dematteo, Melissa Mark, Stefanie Ueda, Lee-may Chen, Jocelyn ChapmanList of authors in order
- Landing page
-
https://doi.org/10.1016/s2352-5789(23)00269-2Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/s2352-5789(23)00269-2Direct OA link when available
- Concepts
-
Medicine, Opioid, Medical prescription, Laparotomy, Calculator, Gynecologic oncology, Anesthesia, Emergency medicine, Internal medicine, Surgery, Nursing, Receptor, Computer science, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4386777087 |
|---|---|
| doi | https://doi.org/10.1016/s2352-5789(23)00269-2 |
| ids.doi | https://doi.org/10.1016/s2352-5789(23)00269-2 |
| ids.openalex | https://openalex.org/W4386777087 |
| fwci | 0.0 |
| type | article |
| title | 48 An evidence-based approach to prescribing post-discharge opioids after laparotomy |
| biblio.issue | |
| biblio.volume | 48 |
| biblio.last_page | S25 |
| biblio.first_page | S25 |
| topics[0].id | https://openalex.org/T11930 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9228000044822693 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2705 |
| topics[0].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[0].display_name | Cardiac, Anesthesia and Surgical Outcomes |
| is_xpac | False |
| apc_list.value | 650 |
| apc_list.currency | USD |
| apc_list.value_usd | 650 |
| apc_paid.value | 650 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 650 |
| concepts[0].id | https://openalex.org/C71924100 |
| concepts[0].level | 0 |
| concepts[0].score | 0.9299372434616089 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[0].display_name | Medicine |
| concepts[1].id | https://openalex.org/C2781063702 |
| concepts[1].level | 3 |
| concepts[1].score | 0.7008088231086731 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q427523 |
| concepts[1].display_name | Opioid |
| concepts[2].id | https://openalex.org/C2426938 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6907557249069214 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q3355478 |
| concepts[2].display_name | Medical prescription |
| concepts[3].id | https://openalex.org/C2780778865 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5856198668479919 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1130374 |
| concepts[3].display_name | Laparotomy |
| concepts[4].id | https://openalex.org/C2776836400 |
| concepts[4].level | 2 |
| concepts[4].score | 0.427801251411438 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q31087 |
| concepts[4].display_name | Calculator |
| concepts[5].id | https://openalex.org/C2780435969 |
| concepts[5].level | 2 |
| concepts[5].score | 0.41469770669937134 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5625186 |
| concepts[5].display_name | Gynecologic oncology |
| concepts[6].id | https://openalex.org/C42219234 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3942934274673462 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q131130 |
| concepts[6].display_name | Anesthesia |
| concepts[7].id | https://openalex.org/C194828623 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3850221335887909 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2861470 |
| concepts[7].display_name | Emergency medicine |
| concepts[8].id | https://openalex.org/C126322002 |
| concepts[8].level | 1 |
| concepts[8].score | 0.30140623450279236 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[8].display_name | Internal medicine |
| concepts[9].id | https://openalex.org/C141071460 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2888031601905823 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q40821 |
| concepts[9].display_name | Surgery |
| concepts[10].id | https://openalex.org/C159110408 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0947367250919342 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q121176 |
| concepts[10].display_name | Nursing |
| concepts[11].id | https://openalex.org/C170493617 |
| concepts[11].level | 2 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q208467 |
| concepts[11].display_name | Receptor |
| concepts[12].id | https://openalex.org/C41008148 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[12].display_name | Computer science |
| concepts[13].id | https://openalex.org/C111919701 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[13].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/medicine |
| keywords[0].score | 0.9299372434616089 |
| keywords[0].display_name | Medicine |
| keywords[1].id | https://openalex.org/keywords/opioid |
| keywords[1].score | 0.7008088231086731 |
| keywords[1].display_name | Opioid |
| keywords[2].id | https://openalex.org/keywords/medical-prescription |
| keywords[2].score | 0.6907557249069214 |
| keywords[2].display_name | Medical prescription |
| keywords[3].id | https://openalex.org/keywords/laparotomy |
| keywords[3].score | 0.5856198668479919 |
| keywords[3].display_name | Laparotomy |
| keywords[4].id | https://openalex.org/keywords/calculator |
| keywords[4].score | 0.427801251411438 |
| keywords[4].display_name | Calculator |
| keywords[5].id | https://openalex.org/keywords/gynecologic-oncology |
| keywords[5].score | 0.41469770669937134 |
| keywords[5].display_name | Gynecologic oncology |
| keywords[6].id | https://openalex.org/keywords/anesthesia |
| keywords[6].score | 0.3942934274673462 |
| keywords[6].display_name | Anesthesia |
| keywords[7].id | https://openalex.org/keywords/emergency-medicine |
| keywords[7].score | 0.3850221335887909 |
| keywords[7].display_name | Emergency medicine |
| keywords[8].id | https://openalex.org/keywords/internal-medicine |
| keywords[8].score | 0.30140623450279236 |
| keywords[8].display_name | Internal medicine |
| keywords[9].id | https://openalex.org/keywords/surgery |
| keywords[9].score | 0.2888031601905823 |
| keywords[9].display_name | Surgery |
| keywords[10].id | https://openalex.org/keywords/nursing |
| keywords[10].score | 0.0947367250919342 |
| keywords[10].display_name | Nursing |
| language | en |
| locations[0].id | doi:10.1016/s2352-5789(23)00269-2 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764639750 |
| locations[0].source.issn | 2352-5789 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2352-5789 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Gynecologic Oncology Reports |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Gynecologic Oncology Reports |
| locations[0].landing_page_url | https://doi.org/10.1016/s2352-5789(23)00269-2 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5065804822 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4220-3992 |
| authorships[0].author.display_name | Allison H. Kay |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[0].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[0].institutions[0].id | https://openalex.org/I180670191 |
| authorships[0].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of California, San Francisco |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Allison H. Kay |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of California, San Francisco |
| authorships[1].author.id | https://openalex.org/A5067674844 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Rachel A. Levy |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[1].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[1].institutions[0].id | https://openalex.org/I180670191 |
| authorships[1].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of California, San Francisco |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Rachel Levy |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of California, San Francisco |
| authorships[2].author.id | https://openalex.org/A5000095034 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1041-8182 |
| authorships[2].author.display_name | Nancy K. Hills |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[2].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[2].institutions[0].id | https://openalex.org/I180670191 |
| authorships[2].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of California, San Francisco |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Nancy K. Hills |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of California, San Francisco |
| authorships[3].author.id | https://openalex.org/A5013946628 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1890-3454 |
| authorships[3].author.display_name | Allyson Jang |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[3].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[3].institutions[0].id | https://openalex.org/I180670191 |
| authorships[3].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of California, San Francisco |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Allyson Jang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of California, San Francisco |
| authorships[4].author.id | https://openalex.org/A5006512793 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Alison McGough-Maduena |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[4].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[4].institutions[0].id | https://openalex.org/I180670191 |
| authorships[4].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | University of California, San Francisco |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Alison McGough-Maduena |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | University of California, San Francisco |
| authorships[5].author.id | https://openalex.org/A5092879271 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Natalia Dematteo |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[5].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[5].institutions[0].id | https://openalex.org/I180670191 |
| authorships[5].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | University of California, San Francisco |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Natalia Dematteo |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | University of California, San Francisco |
| authorships[6].author.id | https://openalex.org/A5022149730 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-5588-2683 |
| authorships[6].author.display_name | Melissa Mark |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[6].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[6].institutions[0].id | https://openalex.org/I180670191 |
| authorships[6].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | University of California, San Francisco |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Melissa Mark |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | University of California, San Francisco |
| authorships[7].author.id | https://openalex.org/A5015446946 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-4359-0966 |
| authorships[7].author.display_name | Stefanie Ueda |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[7].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[7].institutions[0].id | https://openalex.org/I180670191 |
| authorships[7].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | University of California, San Francisco |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Stefanie Ueda |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | University of California, San Francisco |
| authorships[8].author.id | https://openalex.org/A5002391153 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-3370-0161 |
| authorships[8].author.display_name | Lee-may Chen |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[8].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[8].institutions[0].id | https://openalex.org/I180670191 |
| authorships[8].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | University of California, San Francisco |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Lee-may Chen |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | University of California, San Francisco |
| authorships[9].author.id | https://openalex.org/A5024450914 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-4260-3016 |
| authorships[9].author.display_name | Jocelyn Chapman |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I180670191 |
| authorships[9].affiliations[0].raw_affiliation_string | University of California, San Francisco |
| authorships[9].institutions[0].id | https://openalex.org/I180670191 |
| authorships[9].institutions[0].ror | https://ror.org/043mz5j54 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I180670191 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | University of California, San Francisco |
| authorships[9].author_position | last |
| authorships[9].raw_author_name | Jocelyn Chapman |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | University of California, San Francisco |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/s2352-5789(23)00269-2 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | 48 An evidence-based approach to prescribing post-discharge opioids after laparotomy |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11930 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9228000044822693 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2705 |
| primary_topic.subfield.display_name | Cardiology and Cardiovascular Medicine |
| primary_topic.display_name | Cardiac, Anesthesia and Surgical Outcomes |
| related_works | https://openalex.org/W2475866497, https://openalex.org/W1490606327, https://openalex.org/W2797548350, https://openalex.org/W2362078318, https://openalex.org/W220219137, https://openalex.org/W2561023381, https://openalex.org/W4231071852, https://openalex.org/W2316752057, https://openalex.org/W2348714797, https://openalex.org/W2594519706 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1016/s2352-5789(23)00269-2 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764639750 |
| best_oa_location.source.issn | 2352-5789 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2352-5789 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Gynecologic Oncology Reports |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Gynecologic Oncology Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1016/s2352-5789(23)00269-2 |
| primary_location.id | doi:10.1016/s2352-5789(23)00269-2 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764639750 |
| primary_location.source.issn | 2352-5789 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2352-5789 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Gynecologic Oncology Reports |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Gynecologic Oncology Reports |
| primary_location.landing_page_url | https://doi.org/10.1016/s2352-5789(23)00269-2 |
| publication_date | 2023-08-01 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.0 | 255 |
| abstract_inverted_index.: | 332, 337 |
| abstract_inverted_index.A | 87 |
| abstract_inverted_index.a | 59, 206 |
| abstract_inverted_index.1) | 69 |
| abstract_inverted_index.1. | 317 |
| abstract_inverted_index.2) | 74 |
| abstract_inverted_index.83 | 168 |
| abstract_inverted_index.95 | 154 |
| abstract_inverted_index.An | 341 |
| abstract_inverted_index.In | 19 |
| abstract_inverted_index.To | 0 |
| abstract_inverted_index.an | 4, 136, 217 |
| abstract_inverted_index.as | 43, 45 |
| abstract_inverted_index.at | 132, 249, 275, 324 |
| abstract_inverted_index.by | 80 |
| abstract_inverted_index.in | 90, 96, 196, 208 |
| abstract_inverted_index.no | 191 |
| abstract_inverted_index.of | 71, 162, 211, 247, 269, 282, 354 |
| abstract_inverted_index.on | 109 |
| abstract_inverted_index.or | 199, 219, 366 |
| abstract_inverted_index.to | 7, 32, 57, 100, 115, 125, 194, 240, 254, 289, 310, 347 |
| abstract_inverted_index.vs | 185, 313 |
| abstract_inverted_index.we | 356 |
| abstract_inverted_index.100 | 287, 293 |
| abstract_inverted_index.150 | 239 |
| abstract_inverted_index.50% | 88 |
| abstract_inverted_index.571 | 290 |
| abstract_inverted_index.5mg | 283 |
| abstract_inverted_index.OME | 242, 256 |
| abstract_inverted_index.Our | 105 |
| abstract_inverted_index.The | 232, 267 |
| abstract_inverted_index.age | 70 |
| abstract_inverted_index.and | 2, 39, 103, 117, 139, 147, 244, 263 |
| abstract_inverted_index.are | 150 |
| abstract_inverted_index.ask | 33 |
| abstract_inverted_index.but | 188 |
| abstract_inverted_index.day | 83 |
| abstract_inverted_index.did | 225, 304 |
| abstract_inverted_index.for | 13, 62, 135, 159, 327, 344 |
| abstract_inverted_index.nor | 203 |
| abstract_inverted_index.not | 226, 305 |
| abstract_inverted_index.our | 97, 163, 271, 359 |
| abstract_inverted_index.per | 286, 292 |
| abstract_inverted_index.the | 72, 82, 91, 110, 160, 229, 352 |
| abstract_inverted_index.two | 67, 230 |
| abstract_inverted_index.use | 38, 65, 131, 246 |
| abstract_inverted_index.was | 55, 94, 107, 190, 204, 260 |
| abstract_inverted_index."too | 300 |
| abstract_inverted_index.(66% | 184 |
| abstract_inverted_index.1331 | 279 |
| abstract_inverted_index.22.5 | 253 |
| abstract_inverted_index.37.5 | 241 |
| abstract_inverted_index.81%, | 186 |
| abstract_inverted_index.Data | 152 |
| abstract_inverted_index.IPOD | 318 |
| abstract_inverted_index.This | 53 |
| abstract_inverted_index.been | 172 |
| abstract_inverted_index.data | 54, 149 |
| abstract_inverted_index.far. | 175 |
| abstract_inverted_index.few" | 301 |
| abstract_inverted_index.from | 113, 153, 238, 252, 278, 308 |
| abstract_inverted_index.have | 171 |
| abstract_inverted_index.home | 36, 250, 276 |
| abstract_inverted_index.into | 358 |
| abstract_inverted_index.need | 134 |
| abstract_inverted_index.open | 21 |
| abstract_inverted_index.oral | 75 |
| abstract_inverted_index.pain | 214 |
| abstract_inverted_index.pre- | 193, 309 |
| abstract_inverted_index.rate | 259 |
| abstract_inverted_index.size | 12, 166, 236, 323 |
| abstract_inverted_index.tabs | 285 |
| abstract_inverted_index.than | 182 |
| abstract_inverted_index.that | 297 |
| abstract_inverted_index.they | 298 |
| abstract_inverted_index.thus | 174 |
| abstract_inverted_index.used | 56, 79, 158 |
| abstract_inverted_index.well | 44 |
| abstract_inverted_index.were | 26, 119, 157, 177 |
| abstract_inverted_index.with | 47, 141, 216 |
| abstract_inverted_index.(OME) | 78 |
| abstract_inverted_index.(TAP) | 223 |
| abstract_inverted_index.12.0% | 264 |
| abstract_inverted_index.12.6% | 261 |
| abstract_inverted_index.2021, | 20 |
| abstract_inverted_index.2–4 | 28, 121 |
| abstract_inverted_index.Table | 316 |
| abstract_inverted_index.There | 176 |
| abstract_inverted_index.about | 34 |
| abstract_inverted_index.after | 17, 30, 123, 329, 349 |
| abstract_inverted_index.again | 126 |
| abstract_inverted_index.block | 224 |
| abstract_inverted_index.bowel | 197 |
| abstract_inverted_index.doses | 281, 291 |
| abstract_inverted_index.fewer | 178 |
| abstract_inverted_index.final | 98 |
| abstract_inverted_index.home, | 133 |
| abstract_inverted_index.image | 335, 340 |
| abstract_inverted_index.model | 61, 93 |
| abstract_inverted_index.over- | 102 |
| abstract_inverted_index.plane | 222 |
| abstract_inverted_index.rates | 42, 365 |
| abstract_inverted_index.size. | 52 |
| abstract_inverted_index.stay. | 212 |
| abstract_inverted_index.their | 35, 48, 128, 142 |
| abstract_inverted_index.there | 189, 205 |
| abstract_inverted_index.total | 129 |
| abstract_inverted_index.using | 66 |
| abstract_inverted_index.weeks | 29, 122 |
| abstract_inverted_index.(12.6% | 312 |
| abstract_inverted_index.20.5%, | 314 |
| abstract_inverted_index.Refill | 258 |
| abstract_inverted_index.assess | 40, 127 |
| abstract_inverted_index.before | 84 |
| abstract_inverted_index.called | 27 |
| abstract_inverted_index.differ | 227, 307 |
| abstract_inverted_index.excess | 280 |
| abstract_inverted_index.having | 274 |
| abstract_inverted_index.inform | 8 |
| abstract_inverted_index.length | 210 |
| abstract_inverted_index.median | 233 |
| abstract_inverted_index.opioid | 10, 37, 50, 64, 130, 137, 144, 164, 234, 321 |
| abstract_inverted_index.refill | 41, 364 |
| abstract_inverted_index.8/21/22 | 114 |
| abstract_inverted_index.Patient | 295 |
| abstract_inverted_index.adnexal | 200 |
| abstract_inverted_index.balance | 101 |
| abstract_inverted_index.between | 228 |
| abstract_inverted_index.develop | 1, 58 |
| abstract_inverted_index.opioids | 248, 270, 302, 346, 355 |
| abstract_inverted_index.p=0.03) | 187 |
| abstract_inverted_index.patient | 367 |
| abstract_inverted_index.present | 116 |
| abstract_inverted_index.refill, | 138 |
| abstract_inverted_index.service | 112 |
| abstract_inverted_index.surgery | 31, 124 |
| abstract_inverted_index.surplus | 268, 353 |
| abstract_inverted_index.surveys | 156, 170 |
| abstract_inverted_index.without | 362 |
| abstract_inverted_index.(p<0.01) | 243 |
| abstract_inverted_index.Download | 331, 333, 338 |
| abstract_inverted_index.approach | 343 |
| abstract_inverted_index.cohorts. | 231 |
| abstract_inverted_index.epidural | 218 |
| abstract_inverted_index.factors: | 68 |
| abstract_inverted_index.high-res | 334 |
| abstract_inverted_index.hospital | 85, 209, 325 |
| abstract_inverted_index.increase | 89 |
| abstract_inverted_index.morphine | 76 |
| abstract_inverted_index.oncology | 15, 24 |
| abstract_inverted_index.p=0.16). | 315 |
| abstract_inverted_index.patient, | 73 |
| abstract_inverted_index.patients | 16, 25, 81, 118, 272, 328, 348 |
| abstract_inverted_index.pre-calc | 155, 179, 262 |
| abstract_inverted_index.received | 299 |
| abstract_inverted_index.reported | 273 |
| abstract_inverted_index.response | 296 |
| abstract_inverted_index.surgical | 22 |
| abstract_inverted_index.(p=0.04). | 257 |
| abstract_inverted_index.(p=0.91). | 266 |
| abstract_inverted_index.abdominis | 221 |
| abstract_inverted_index.compared. | 151 |
| abstract_inverted_index.conducted | 173 |
| abstract_inverted_index.contacted | 120 |
| abstract_inverted_index.decreased | 237, 251, 277, 351 |
| abstract_inverted_index.discharge | 326 |
| abstract_inverted_index.full-size | 339 |
| abstract_inverted_index.impacting | 363 |
| abstract_inverted_index.implement | 3 |
| abstract_inverted_index.inpatient | 111 |
| abstract_inverted_index.oxycodone | 284 |
| abstract_inverted_index.patients' | 360 |
| abstract_inverted_index.patients, | 288 |
| abstract_inverted_index.patients. | 294 |
| abstract_inverted_index.performed | 181 |
| abstract_inverted_index.post-calc | 169, 183, 195, 265, 311 |
| abstract_inverted_index."Pre-calc" | 146 |
| abstract_inverted_index.calculator | 6, 99, 106 |
| abstract_inverted_index.difference | 192, 207 |
| abstract_inverted_index.discharge. | 86 |
| abstract_inverted_index.introduced | 357 |
| abstract_inverted_index.laparotomy | 330, 350 |
| abstract_inverted_index.management | 215 |
| abstract_inverted_index.performed, | 202 |
| abstract_inverted_index.predictive | 60, 92 |
| abstract_inverted_index.procedures | 201 |
| abstract_inverted_index.resections | 198 |
| abstract_inverted_index."post-calc" | 148 |
| abstract_inverted_index.Calculator: | 319 |
| abstract_inverted_index.calculator. | 167 |
| abstract_inverted_index.communities | 361 |
| abstract_inverted_index.development | 161 |
| abstract_inverted_index.equivalents | 77 |
| abstract_inverted_index.gynecologic | 14, 23 |
| abstract_inverted_index.implemented | 108 |
| abstract_inverted_index.laparotomy. | 18 |
| abstract_inverted_index.prescribing | 345 |
| abstract_inverted_index.recommended | 320 |
| abstract_inverted_index.transversus | 220 |
| abstract_inverted_index.incorporated | 95 |
| abstract_inverted_index.prescription | 11, 51, 165, 235, 322 |
| abstract_inverted_index.satisfaction | 46, 140 |
| abstract_inverted_index.Postoperative | 213 |
| abstract_inverted_index.prescription. | 145 |
| abstract_inverted_index.satisfaction. | 368 |
| abstract_inverted_index.self-reported | 63, 245 |
| abstract_inverted_index.statistically | 306 |
| abstract_inverted_index.evidence-based | 5, 342 |
| abstract_inverted_index.hysterectomies | 180 |
| abstract_inverted_index.post-discharge | 9, 49, 143, 303 |
| abstract_inverted_index.(163KB)Download | 336 |
| abstract_inverted_index.under-prescription | 104 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.26465681 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |