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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 DisplayedByrnes ME, Brown CS, De Roo A
Elective surgical delays due to COVID-19: the patient lived experience.
This study looked at the effects of the COVID-19 pandemic on scheduling of elective cardiac and vascular surgery. The authors interviewed 47 individuals who experienced a postponement of surgery due to coronavirus. Patients described 3 key issues around their postponement: 1) surgery as part of a “return to normal”; 2) postponement took a toll on their physical health and mental wellbeing; and 3) many patients in their study said they would “rather die from a heart attack” than be exposed to the coronavirus.
AHRQ-funded; HS000053.
Citation: Byrnes ME, Brown CS, De Roo A .
Elective surgical delays due to COVID-19: the patient lived experience.
Med Care 2021 Apr;59(4):288-94. doi: 10.1097/mlr.0000000000001503..
Keywords: COVID-19, Surgery, Public Health, Patient Experience, Infectious Diseases
Byrnes ME, Varlamos CJ, Rivard SJ
"You're used to being the one that can fix things…": a qualitative snapshot of colorectal surgeons during COVID-19.
This viewpoint article reflects the narratives of 58 colorectal surgeons who engaged in an in-depth qualitative interview during the COVID-19 shutdown of elective surgeries. The goal for reporting these findings is to offer a snapshot of surgeon perspectives on the delays of elective surgeries and to give voice to surgeons who were unable to perform most or all their duties as a surgeon.
AHRQ-funded; HS025365; HS000053.
Citation: Byrnes ME, Varlamos CJ, Rivard SJ .
"You're used to being the one that can fix things…": a qualitative snapshot of colorectal surgeons during COVID-19.
Dis Colon Rectum 2020 Dec;63(12):1575-78. doi: 10.1097/dcr.0000000000001818..
Keywords: Surgery, Provider: Physician, Provider, COVID-19, Public Health, Infectious Diseases
Baker AW, Nehls N, Ilies I
Use of optimised dual statistical process control charts for early detection of surgical site infection outbreaks.
This study analyzed the use of optimized dual statistical process control (SPC) charts to predict surgical site infection (SSI) outbreaks. The researchers retrospectively applied an optimized pair of moving average (MA) SPC charts to all 30 SSI outbreaks previously identified and investigated from 2007 to 2015 in the Duke Infection Control Outreach Network (DICON), which is a network of more than 50 community hospitals. The dual MA SPC chart approach detected all 30 outbreaks at a median of 16 months prior to traditional surveillance detection.
AHRQ-funded; HS23821.
Citation: Baker AW, Nehls N, Ilies I .
Use of optimised dual statistical process control charts for early detection of surgical site infection outbreaks.
BMJ Qual Saf 2020 Jun;29(6):517-20. doi: 10.1136/bmjqs-2019-010586..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Patient Safety, Hospitals, Public Health, Infectious Diseases