[{"innerBlocks":[],"name":"core\/freeform","postId":541,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"Vanderbilt University Medical Center researchers are developing a clinical decision support tool to help avoid over- and under-prescribing of opioids for women undergoing cesarean section. Nearly a third of U.S. women will have a cesarean section during childbirth. However, opioid prescriptions for these new mothers often are either insufficient to meet their pain needs or amount to overkill.Under a five-year grant from the National Institute on Drug Abuse, VUMC will collect data to identify factors associated with minimal or maximal opioid use that the tool will then leverage to predict individualized opioid needs based on patients\u2019 clinical, demographic and behavioral characteristics.According to Sarah Osmundson, MD, assistant professor of obstetrics and gynecology, opioid prescribing for women who have had a cesarean section is often based on prescriber habits rather than patient needs, with many prescribers sending women home with a 30-tablet prescription\u2014regardless of their pain.\u201cThe goal of a clinical support tool is to do that work for the providers,\u201d says Osmundson. \u201cIt\u2019s not feasible for a provider to count previous usage when they have 10 patients to see in one morning, so that\u2019s when they default back to 30 tablets.\u201d

VUMC-CROP.jpg<\/bsp-image>Under the three-part study, data will be collected on how many opioids patients are using a Bluetooth-enabled cap that records each time a tablet is removed from a prescription bottle.As part of the study\u2019s third and final phase, the decision support tool will be evaluated against standard practices in a randomized clinical trial.\u201cI think some physicians have their own standard they\u2019re used to prescribing or they tend to repeat what they learned in residency or from their superiors,\u201d adds Osmundson. \u201cWe do a lot of prescribing that\u2019s based on even or round numbers, like tens and fives. I think few physicians look at how much a patient has used in the hospital to make a decision.\u201d Ultimately, researchers contend that the clinical decision support tool will be integrated into VUMC\u2019s Epic electronic health record to help prescribers optimize opioid prescriptions\u2014by providing a recommended number of tablets\u2014so they are tailored to individual needs.","saveContent":"Vanderbilt University Medical Center researchers are developing a clinical decision support tool to help avoid over- and under-prescribing of opioids for women undergoing cesarean section. Nearly a third of U.S. women will have a cesarean section during childbirth. However, opioid prescriptions for these new mothers often are either insufficient to meet their pain needs or amount to overkill.Under a five-year grant from the National Institute on Drug Abuse, VUMC will collect data to identify factors associated with minimal or maximal opioid use that the tool will then leverage to predict individualized opioid needs based on patients\u2019 clinical, demographic and behavioral characteristics.According to Sarah Osmundson, MD, assistant professor of obstetrics and gynecology, opioid prescribing for women who have had a cesarean section is often based on prescriber habits rather than patient needs, with many prescribers sending women home with a 30-tablet prescription\u2014regardless of their pain.\u201cThe goal of a clinical support tool is to do that work for the providers,\u201d says Osmundson. \u201cIt\u2019s not feasible for a provider to count previous usage when they have 10 patients to see in one morning, so that\u2019s when they default back to 30 tablets.\u201d

VUMC testing tool that predicts opioid needs after cesarean section

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