Literature DB >> 29710234

Association of Postoperative Readmissions With Surgical Quality Using a Delphi Consensus Process to Identify Relevant Diagnosis Codes.

Hillary J Mull1,2, Laura A Graham3,4, Melanie S Morris3,4, Amy K Rosen1,2, Joshua S Richman3,4, Jeffery Whittle5,6, Edith Burns5,6, Todd H Wagner7,8, Laurel A Copeland9,10,11, Tyler Wahl3,4, Caroline Jones3,4, Robert H Hollis3,4, Kamal M F Itani1,2,12, Mary T Hawn7,8.   

Abstract

Importance: Postoperative readmission data are used to measure hospital performance, yet the extent to which these readmissions reflect surgical quality is unknown. Objective: To establish expert consensus on whether reasons for postoperative readmission are associated with the quality of surgery in the index admission. Design, Setting, and Participants: In a modified Delphi process, a panel of 14 experts in medical and surgical readmissions comprising physicians and nonphysicians from Veterans Affairs (VA) and private-sector institutions reviewed 30-day postoperative readmissions from fiscal years 2008 through 2014 associated with inpatient surgical procedures performed at a VA medical center between October 1, 2007, and September 30, 2014. The consensus process was conducted from January through May 2017. Reasons for readmission were grouped into categories based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Panelists were given the proportion of readmissions coded by each reason and median (interquartile range) days to readmission. They answered the question, "Does the readmission reason reflect possible surgical quality of care problems in the index admission?" on a scale of 1 (never related) to 5 (directly related) in 3 rounds of consensus building. The consensus process was completed in May 2017 and data were analyzed in June 2017. Main Outcomes and Measures: Consensus on proportion of ICD-9-coded readmission reasons that reflected quality of surgical procedure.
Results: In 3 Delphi rounds, the 14 panelists achieved consensus on 50 reasons for readmission; 12 panelists also completed group telephone calls between rounds 1 and 2. Readmissions with diagnoses of infection, sepsis, pneumonia, hemorrhage/hematoma, anemia, ostomy complications, acute renal failure, fluid/electrolyte disorders, or venous thromboembolism were considered associated with surgical quality and accounted for 25 521 of 39 664 readmissions (64% of readmissions; 7.5% of 340 858 index surgical procedures). The proportion of readmissions considered to be not associated with surgical quality varied by procedure, ranging from to 21% (613 of 2331) of readmissions after lower-extremity amputations to 47% (745 of 1598) of readmissions after cholecystectomy. Conclusions and Relevance: One-third of postoperative readmissions are unlikely to reflect problems with surgical quality. Future studies should test whether restricting readmissions to those with specific ICD-9 codes might yield a more useful quality measure.

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Year:  2018        PMID: 29710234      PMCID: PMC6142960          DOI: 10.1001/jamasurg.2018.0592

Source DB:  PubMed          Journal:  JAMA Surg        ISSN: 2168-6254            Impact factor:   14.766


  18 in total

1.  Can administrative data be used to compare postoperative complication rates across hospitals?

Authors:  Patrick S Romano; Benjamin K Chan; Michael E Schembri; Julie A Rainwater
Journal:  Med Care       Date:  2002-10       Impact factor: 2.983

2.  Measuring readmissions after surgery: do different methods tell the same story?

Authors:  Qi Chen; Hillary J Mull; Amy K Rosen; Ann M Borzecki; Corey Pilver; Kamal M F Itani
Journal:  Am J Surg       Date:  2015-10-01       Impact factor: 2.565

3.  How slow is too slow? Correlation of operative time to complications: an analysis from the Tennessee Surgical Quality Collaborative.

Authors:  Brian J Daley; William Cecil; P Chris Clarke; Joseph B Cofer; Oscar D Guillamondegui
Journal:  J Am Coll Surg       Date:  2015-01-09       Impact factor: 6.113

4.  Medical and surgical readmissions in the Veterans Health Administration: what proportion are related to the index hospitalization?

Authors:  Amy K Rosen; Qi Chen; Marlena H Shin; William O'Brien; Michael Shwartz; Hillary J Mull; Marisa Cevasco; Ann M Borzecki
Journal:  Med Care       Date:  2014-03       Impact factor: 2.983

5.  Health policy update: rethinking hospital readmission as a surgical quality measure.

Authors:  Micah E Girotti; Terry Shih; Justin B Dimick
Journal:  JAMA Surg       Date:  2014-08       Impact factor: 14.766

6.  Postoperative 30-day Readmission: Time to Focus on What Happens Outside the Hospital.

Authors:  Melanie S Morris; Laura A Graham; Joshua S Richman; Robert H Hollis; Caroline E Jones; Tyler Wahl; Kamal M F Itani; Hillary J Mull; Amy K Rosen; Laurel Copeland; Edith Burns; Gordon Telford; Jeffery Whittle; Mark Wilson; Sara J Knight; Mary T Hawn
Journal:  Ann Surg       Date:  2016-10       Impact factor: 12.969

7.  Do Acute Myocardial Infarction and Heart Failure Readmissions Flagged as Potentially Preventable by the 3M Potentially Preventable Readmissions Software Have More Process-of-Care Problems?

Authors:  Ann M Borzecki; Qi Chen; Hillary J Mull; Michael Shwartz; Deepak L Bhatt; Amresh Hanchate; Amy K Rosen
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-09-06

8.  What is the value of adding Medicare data in estimating VA hospital readmission rates?

Authors:  William J O'Brien; Qi Chen; Hillary J Mull; Michael Shwartz; Ann M Borzecki; Amresh Hanchate; Amy K Rosen
Journal:  Health Serv Res       Date:  2014-07-15       Impact factor: 3.402

9.  The relationship between timing of surgical complications and hospital readmission.

Authors:  Melanie S Morris; Rhiannon J Deierhoi; Joshua S Richman; Laura K Altom; Mary T Hawn
Journal:  JAMA Surg       Date:  2014-04       Impact factor: 14.766

10.  Hospital readmission by method of data collection.

Authors:  Elizabeth M Hechenbleikner; Martin A Makary; Daniel V Samarov; Jennifer L Bennett; Susan L Gearhart; Jonathan E Efron; Elizabeth C Wick
Journal:  J Am Coll Surg       Date:  2013-04-11       Impact factor: 6.113

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  5 in total

1.  Definitions for Loss of Domain: An International Delphi Consensus of Expert Surgeons.

Authors:  Samuel G Parker; Steve Halligan; Mike K Liang; Filip E Muysoms; Gina L Adrales; Adam Boutall; Andrew C de Beaux; Ulrich A Dietz; Celia M Divino; Mary T Hawn; Todd B Heniford; Joon P Hong; Nabeel Ibrahim; Kamal M F Itani; Lars N Jorgensen; Agneta Montgomery; Salvador Morales-Conde; Yohann Renard; David L Sanders; Neil J Smart; Jared J Torkington; Alastair C J Windsor
Journal:  World J Surg       Date:  2020-04       Impact factor: 3.352

2.  Failure to Thrive Following Cytoreduction and Hyperthermic Intraperitoneal Chemotherapy: Causes and Consequences.

Authors:  Caroline J Rieser; Jurgis Alvikas; Heather Phelos; Lauren B Hall; Amer H Zureikat; Andrew Lee; Melanie Ongchin; Matthew P Holtzman; James F Pingpank; David L Bartlett; M Haroon A Choudry
Journal:  Ann Surg Oncol       Date:  2022-01-06       Impact factor: 5.344

3.  Association of Frailty and Postoperative Complications With Unplanned Readmissions After Elective Outpatient Surgery.

Authors:  Kara A Rothenberg; Jordan R Stern; Elizabeth L George; Amber W Trickey; Arden M Morris; Daniel E Hall; Jason M Johanning; Mary T Hawn; Shipra Arya
Journal:  JAMA Netw Open       Date:  2019-05-03

4.  Predischarge Prediction of Readmission After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy: Derivation and Validation of a Risk Prediction Score.

Authors:  Caroline J Rieser; Lauren B Hall; Eliza Kang; Amer H Zureikat; Matthew P Holtzman; James F Pingpank; David L Bartlett; M Haroon A Choudry
Journal:  Ann Surg Oncol       Date:  2021-01-23       Impact factor: 5.344

5.  Psychosocial Determinants of Readmission After Surgery.

Authors:  Laura A Graham; Mary T Hawn; Elise A Dasinger; Samantha J Baker; Brad S Oriel; Tyler S Wahl; Joshua S Richman; Laurel A Copeland; Kamal M F Itani; Edith A Burns; Jeffrey Whittle; Melanie S Morris
Journal:  Med Care       Date:  2021-10-01       Impact factor: 3.178

  5 in total

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