National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedSoffin EM, Gibbons MM, Wick EC
Evidence review conducted for the Agency for Healthcare Research and Quality Safety Program for I
This evidence review was conducted as part of AHRQ’s Safety Program for Improving Surgical Care and Recovery. An evidence review of interventions was conducted to create an enhanced recovery after surgery (ERAS) protocol for anesthesiology for hip fracture repair surgery. The researchers identified anesthesiology components of care and evaluated them across the perioperative continuum. They created ERAS protocols for the preoperative, intraoperative, and postoperative phases.
AHRQ-funded; 233201500020I.
Citation: Soffin EM, Gibbons MM, Wick EC .
Evidence review conducted for the Agency for Healthcare Research and Quality Safety Program for I
Anesth Analg 2019 Jun;128(6):1107-17. doi: 10.1213/ane.0000000000003925..
Keywords: Evidence-Based Practice, Patient-Centered Outcomes Research, Surgery, Orthopedics, Quality Improvement, Quality of Care, Outcomes, Care Management
Childers CP, Dworsky JQ, Maggard-Gibbons M
The contemporary appendectomy for acute uncomplicated appendicitis in adults.
Epidemiologic data related to the surgical management of appendicitis are out of date. In this study, the authors contemplated the role of nonoperative therapy in uncomplicated appendicitis and developed a contemporary profile of the risks and benefits of operative appendectomy by merging the 2016 National Surgical Quality Improvement Program essential and appendectomy-targeted participant use files.
AHRQ-funded; HS025079.
Citation: Childers CP, Dworsky JQ, Maggard-Gibbons M .
The contemporary appendectomy for acute uncomplicated appendicitis in adults.
Surgery 2019 Mar;165(3):593-601. doi: 10.1016/j.surg.2018.09.009..
Keywords: Care Management, Quality Improvement, Surgery, Treatments
Parthipan A, Banerjee I, Humphreys K
Predicting inadequate postoperative pain management in depressed patients: a machine learning approach.
Researchers employed a machine-learning approach to identify patients who were prescribed a combination of selective serotonin reuptake inhibitors (SSRIs) and prodrug opioids in order to examine the effect of this combination on postoperative pain control. They identified patients who received surgery over a 9-year period by using EHR data from an academic medical center, then developed and validated natural language processing (NLP) algorithms to extract depression-related information from both structured and unstructured data elements. The machine-learning algorithm accurately predicted the increase or decrease of the discharge, 3-week, and 8-week follow-up pain scores when compared to the pre-operative pain score; pre-operative pain, surgery type, and opioid tolerance were the strongest predictors of postoperative pain control. The researchers conclude that their study results provide the first direct clinical evidence that the known ability of SSRIs to inhibit prodrug opioid effectiveness is associated with worse pain control among depressed patients. They suggest that prescribers might choose direct acting opioids such as oxycodone or morphine for depressed patients on SSRIs instead of prodrug opioids.
AHRQ-funded; HS024096.
Citation: Parthipan A, Banerjee I, Humphreys K .
Predicting inadequate postoperative pain management in depressed patients: a machine learning approach.
PLoS One 2019 Feb 6;14(2):e0210575. doi: 10.1371/journal.pone.0210575..
Keywords: Care Management, Depression, Medication, Opioids, Pain, Surgery