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Thoen CW, Sæle M, Strandberg RB, Eide PH, Kinn LG. Patients' experiences of day surgery and recovery: A meta-ethnography. Nurs Open 2024; 11:e2055. [PMID: 38268268 PMCID: PMC10701296 DOI: 10.1002/nop2.2055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 10/10/2023] [Accepted: 11/19/2023] [Indexed: 01/26/2024] Open
Abstract
AIM To explore and synthesise findings from qualitative studies on adult patients' experiences of day surgery and the processes of recovery. BACKGROUND There has been a shift in the practice of elective surgery, from inpatient to ambulatory treatment. Accordingly, more patients are undergoing day surgery and expected to care for themselves at home. To our knowledge, an updated metasynthesis on patients' experiences of day surgery across diverse contexts and continents is lacking. DESIGN Meta-ethnography. METHODS MEDLINE, EMBASE and CINAHL were systematically searched for qualitative research in English published between 2006 and 2023. Noblit and Hare's meta-ethnographic approach guided the synthesis of findings from 12 qualitative studies, and the eMERGe Reporting Guidance was used in the writing of this article. RESULTS Four themes were revealed: (1) requests for tailored information, (2) challenges of recognising and understanding postoperative symptoms, (3) being dependent on continuous professional and personal support and (4) calling for individual adaptation. CONCLUSION Our meta-ethnography indicates there is a need to improve information provision to better prepare patients for the processes of day surgery and recovery and promote their self-care abilities. Our findings highlight the importance of ensuring adequate levels of individualised care and support throughout the treatment process. RELEVANCE TO CLINICAL PRACTICE To improve quality of care in day surgery practice, implementation of interventions to enhance information provision and promote self-care during recovery at home may be considered. Pre-admission appointments that incorporate provision of tailored information and assessment of the patients' individual needs of care and support, home conditions and access to assistance from family/friends can be recommended.
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Affiliation(s)
- Cathrine Ween Thoen
- Department of Health and Caring Sciences, Faculty of Health and Social SciencesWestern Norway University of Applied SciencesBergenNorway
| | - Monica Sæle
- Department of Health and Caring Sciences, Faculty of Health and Social SciencesWestern Norway University of Applied SciencesBergenNorway
| | - Ragnhild Bjarkøy Strandberg
- Department of Health and Caring Sciences, Faculty of Health and Social SciencesWestern Norway University of Applied SciencesBergenNorway
| | - Petrin Hege Eide
- Department of Health and Caring Sciences, Faculty of Health and Social SciencesWestern Norway University of Applied SciencesBergenNorway
| | - Liv Grethe Kinn
- Department of Welfare and Participation, Faculty of Health and Social SciencesWestern Norway University of Applied SciencesBergenNorway
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Mull HJ, Gellad ZF, Gupta RT, Valle JA, Makarov DV, Silverman T, Branch-Elliman W. Factors Associated With Emergency Department Visits and Hospital Admissions After Invasive Outpatient Procedures in the Veterans Health Administration. JAMA Surg 2019; 153:774-776. [PMID: 29801049 DOI: 10.1001/jamasurg.2018.0874] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Hillary J Mull
- Center for Healthcare Organization and Implementation Research, Veterans Affairs (VA) Boston Healthcare System, Boston, Massachusetts.,Department of Surgery, Boston University School of Medicine, Boston, Massachusetts
| | - Ziad F Gellad
- Center for Health Services Research in Primary Care, Durham VA Medical Center, Durham, North Carolina.,Division of Gastroenterology, Department of Medicine, Duke University, Durham, North Carolina
| | - Rajan T Gupta
- Durham VA Medical Center, Durham, North Carolina.,Department of Radiology, Duke University, Durham, North Carolina
| | - Javier A Valle
- Division of Cardiology, Department of Medicine, VA Eastern Colorado Health Care System, Denver, Colorado.,Department of Cardiology, University of Colorado School of Medicine, Aurora
| | - Danil V Makarov
- Department of Urology, New York University School of Medicine, New York.,Department of Urology, VA New York Harbor, New York
| | - Tyler Silverman
- Division of Podiatry, Department of Surgery, VA Boston Healthcare System, Boston, Massachusetts
| | - Westyn Branch-Elliman
- Center for Healthcare Organization and Implementation Research, Veterans Affairs (VA) Boston Healthcare System, Boston, Massachusetts.,Department of Medicine, Section of Infectious Diseases, VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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Dasinger EA, Branch-Elliman W, Pizer SD, Abdulkerim H, Rosen AK, Charns MP, Hawn MT, Itani KMF, Mull HJ. Association between postoperative opioid use and outpatient surgical adverse events. Am J Surg 2019; 217:605-612. [PMID: 30639132 DOI: 10.1016/j.amjsurg.2018.12.068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 12/26/2018] [Accepted: 12/31/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Opioid-related adverse drug events are common following inpatient surgical procedures. Little is known about opioid prescribing after outpatient surgical procedures and if opioid use is associated with short term risks of outpatient surgical adverse events (AEs). METHODS VA Corporate Data Warehouse was used to identify opioid use within 48 h for FY2012-14 chart-reviewed cases from a larger VA study of AEs in outpatient surgeries. We estimated a multilevel logistic regression model to determine the effect of opioid exposure on risk of AEs between 2 and 30 days postoperatively. RESULTS Of the 1730 outpatient surgical cases, 628 (36%) had postoperative opioid use and 12% had an AE. Opioid use following outpatient surgery was not significantly associated with higher surgical AE rates after controlling for relevant covariates (OR = 1.1 95% CI 0.79-1.54). Only procedure RVUs were associated with higher odds of postoperative AEs. CONCLUSIONS Postoperative opioid use following outpatient surgery is not a significant driver of postoperative AEs.
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Affiliation(s)
- Elise A Dasinger
- VA Quality Scholars Program, Birmingham VA Medical Center, Birmingham, AL, United States.
| | - Westyn Branch-Elliman
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, United States; Department of Medicine, VA Boston Healthcare System, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Steven D Pizer
- Partnered Evidence-based Policy Resource Center (PEPReC), Department of Veterans Affairs, Boston, MA, United States; Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, United States
| | - Hassen Abdulkerim
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, United States
| | - Amy K Rosen
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, United States; Department of Surgery, Boston University School of Medicine, Boston, MA, United States
| | - Martin P Charns
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, United States; Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, United States
| | - Mary T Hawn
- Palo Alto VA Medical Center, Palo Alto, CA, United States; Stanford University School of Medicine, Stanford, CA, United States
| | - Kamal M F Itani
- Harvard Medical School, Boston, MA, United States; Department of Surgery, Boston University School of Medicine, Boston, MA, United States; Department of Surgery, VA Boston Healthcare System, Boston, MA, United States
| | - Hillary J Mull
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, United States; Department of Surgery, Boston University School of Medicine, Boston, MA, United States
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Mull HJ, Itani KMF, Pizer SD, Charns MP, Rivard PE, McIntosh N, Hawn MT, Rosen AK. Development of an Adverse Event Surveillance Model for Outpatient Surgery in the Veterans Health Administration. Health Serv Res 2018; 53:4507-4528. [PMID: 30151826 DOI: 10.1111/1475-6773.13037] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE Develop and validate a surveillance model to identify outpatient surgical adverse events (AEs) based on previously developed electronic triggers. DATA SOURCES Veterans Health Administration's Corporate Data Warehouse. STUDY DESIGN Six surgical AE triggers, including postoperative emergency room visits and hospitalizations, were applied to FY2012-2014 outpatient surgeries (n = 744,355). We randomly sampled trigger-flagged and unflagged cases for nurse chart review to document AEs and measured positive predictive value (PPV) for triggers. Next, we used chart review data to iteratively estimate multilevel logistic regression models to predict the probability of an AE, starting with the six triggers and adding in patient, procedure, and facility characteristics to improve model fit. We validated the final model by applying the coefficients to FY2015 outpatient surgery data (n = 256,690) and reviewing charts for cases at high and moderate probability of an AE. PRINCIPAL FINDINGS Of 1,730 FY2012-2014 reviewed surgeries, 350 had an AE (20 percent). The final surveillance model c-statistic was 0.81. In FY2015 surgeries with >0.8 predicted probability of an AE (n = 405, 0.15 percent), PPV was 85 percent; in surgeries with a 0.4-0.5 predicted probability of an AE, PPV was 38 percent. CONCLUSIONS The surveillance model performed well, accurately identifying outpatient surgeries with a high probability of an AE.
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Affiliation(s)
- Hillary J Mull
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA.,Department of Surgery, Boston University School of Medicine, Boston, MA
| | - Kamal M F Itani
- Department of Surgery, Boston University School of Medicine, Boston, MA.,Department of Surgery, VA Boston Healthcare System, Boston, MA.,Harvard Medical School, Boston, MA
| | - Steven D Pizer
- Department of Veterans Affairs, Partnered Evidence-based Policy Resource Center (PEPReC), Boston, MA.,Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA
| | - Martin P Charns
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA.,Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA
| | - Peter E Rivard
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA.,Healthcare Administration, Sawyer Business School Suffolk University, Boston, MA
| | | | - Mary T Hawn
- Palo Alto VA Medical Center, Palo Alto, CA.,Stanford University School of Medicine, Stanford, CA
| | - Amy K Rosen
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA.,Department of Surgery, Boston University School of Medicine, Boston, MA
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Mull HJ, Rosen AK, O'Brien WJ, McIntosh N, Legler A, Hawn MT, Itani KMF, Pizer SD. Factors Associated with Hospital Admission after Outpatient Surgery in the Veterans Health Administration. Health Serv Res 2018; 53:3855-3880. [PMID: 29363106 DOI: 10.1111/1475-6773.12826] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE To examine factors associated with 0- to 7-day admission after outpatient surgery in high-volume specialties: general surgery, orthopedics, urology, ear/nose/throat, and podiatry. STUDY DESIGN We calculated rates and assessed diagnosis codes for 0- to 7-day admission after outpatient surgery for Centers for Medicare and Medicaid Services (CMS) and Veterans Health Administration (VA) dually enrolled patients age 65 and older. We also estimated separate multilevel logistic regression models to compare patient, procedure, and facility characteristics associated with postoperative admission. DATA COLLECTION 2011-2013 surgical encounter data from the VA Corporate Data Warehouse; geographic data from the Area Health Resources File; CMS enrollment and hospital admission data. PRINCIPAL FINDINGS Among 63,585 outpatient surgeries in 124 facilities, 0- to 7-day admission rates ranged from 5 percent (podiatry) to 28 percent (urology); nearly 66 percent of the admissions occurred on the day of surgery. Only 97 admissions were detected in the CMS data (1 percent). Surgical complications were diagnosed in 4 percent of admissions. Procedure complexity, measured by relative value units or anesthesia risk score, was associated with admission across all specialties. CONCLUSION As many as 20 percent of VA outpatient surgeries result in an admission. Complex procedures are more likely to be followed by admission, but more evidence is required to determine how many of these reflect potential safety or quality problems.
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Affiliation(s)
- Hillary J Mull
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA.,Department of Surgery, Boston University School of Medicine, Boston, MA
| | - Amy K Rosen
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA.,Department of Surgery, Boston University School of Medicine, Boston, MA
| | - William J O'Brien
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA
| | | | - Aaron Legler
- Department of Veterans Affairs, Partnered Evidence-based Policy Resource Center (PEPReC), Boston, MA
| | - Mary T Hawn
- Palo Alto VA Medical Center, Palo Alto, CA.,Stanford University School of Medicine, Stanford, CA
| | - Kamal M F Itani
- Department of Surgery, Boston University School of Medicine, Boston, MA.,Department of Surgery, VA Boston Healthcare System, Boston, MA.,Harvard Medical School, Boston, MA
| | - Steven D Pizer
- Department of Veterans Affairs, Partnered Evidence-based Policy Resource Center (PEPReC), Boston, MA.,Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA
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