Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating
Implications: This study highlights the potential of a combined preoperative pain rating questionnaire and anesthesiologist’s predictions to improve postcesarean pain management. By accounting for 27% of the variance in mean postcesarean pain with movement, this approach could enhance pain managemen...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Pain Research and Management |
| Online Access: | http://dx.doi.org/10.1155/prm/6903333 |
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| _version_ | 1849311203386458112 |
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| author | Unyime S. Ituk Sapna Ravindranath |
| author_facet | Unyime S. Ituk Sapna Ravindranath |
| author_sort | Unyime S. Ituk |
| collection | DOAJ |
| description | Implications: This study highlights the potential of a combined preoperative pain rating questionnaire and anesthesiologist’s predictions to improve postcesarean pain management. By accounting for 27% of the variance in mean postcesarean pain with movement, this approach could enhance pain management outcomes for CD patients. |
| format | Article |
| id | doaj-art-d4ee8a5804bb4956a21f91170f8e1c00 |
| institution | Kabale University |
| issn | 1918-1523 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Pain Research and Management |
| spelling | doaj-art-d4ee8a5804bb4956a21f91170f8e1c002025-08-20T03:53:28ZengWileyPain Research and Management1918-15232025-01-01202510.1155/prm/6903333Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer RatingUnyime S. Ituk0Sapna Ravindranath1Department of AnesthesiaDepartment of AnesthesiaImplications: This study highlights the potential of a combined preoperative pain rating questionnaire and anesthesiologist’s predictions to improve postcesarean pain management. By accounting for 27% of the variance in mean postcesarean pain with movement, this approach could enhance pain management outcomes for CD patients.http://dx.doi.org/10.1155/prm/6903333 |
| spellingShingle | Unyime S. Ituk Sapna Ravindranath Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating Pain Research and Management |
| title | Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating |
| title_full | Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating |
| title_fullStr | Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating |
| title_full_unstemmed | Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating |
| title_short | Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating |
| title_sort | predicting postcesarean pain a prospective cohort study using a 3 question questionnaire local anesthesia infiltration and observer rating |
| url | http://dx.doi.org/10.1155/prm/6903333 |
| work_keys_str_mv | AT unyimesituk predictingpostcesareanpainaprospectivecohortstudyusinga3questionquestionnairelocalanesthesiainfiltrationandobserverrating AT sapnaravindranath predictingpostcesareanpainaprospectivecohortstudyusinga3questionquestionnairelocalanesthesiainfiltrationandobserverrating |