Using Human Factors and Systems Engineering to Evaluate Readmission after Complex Surgery

被引:29
作者
Acher, Alexandra W. [1 ,6 ]
LeCaire, Tamara J. [1 ,3 ]
Hundt, Ann Schoofs [4 ]
Greenberg, Caprice C. [1 ,3 ,4 ,5 ]
Carayon, Pascale [4 ,5 ]
Kind, Amy J. [2 ,6 ]
Weber, Sharon M. [1 ,3 ,6 ]
机构
[1] Univ Wisconsin, Sch Med & Publ Hlth, Dept Surg, Surg Outcomes Res Program, Madison, WI 53792 USA
[2] Univ Wisconsin, Sch Med & Publ Hlth, Dept Med, Madison, WI 53792 USA
[3] Univ Wisconsin, Sch Med & Publ Hlth, Dept Surg, Madison, WI 53792 USA
[4] Univ Wisconsin, Ctr Qual & Prod Improvement, Madison, WI 53792 USA
[5] Univ Wisconsin, Dept Ind & Syst Engn, Coll Engn, Madison, WI 53792 USA
[6] William S Middleton Mem Vet Adm Med Ctr, Madison, WI USA
基金
美国医疗保健研究与质量局; 美国国家卫生研究院;
关键词
POSTOPERATIVE COGNITIVE DYSFUNCTION; 30-DAY HOSPITAL READMISSIONS; HEALTH-CARE PROFESSIONALS; INFORMED-CONSENT; RISK-FACTORS; DELIRIUM; QUALITY; PATIENT; PANCREATICODUODENECTOMY; REHOSPITALIZATION;
D O I
10.1016/j.jamcollsurg.2015.06.014
中图分类号
R61 [外科手术学];
学科分类号
摘要
BACKGROUND: Our objective was to use a human factors and systems engineering approach to understand contributors to surgical readmissions from a patient and provider perspective. Previous studies on readmission have neglected the patient perspective. To address this gap and to better inform intervention design, we evaluated how transitions of care relate to and influence readmission from the patient and clinician perspective using the Systems Engineering Initiative for Patient Safety (SEIPS) model. STUDY DESIGN: Patients readmitted within 30 days of discharge after complex abdominal surgery were interviewed. A focus group of inpatient clinician providers was conducted. Questions were guided by the SEIPS framework and content was analyzed. Data were collected concurrently from the medical record for a mixed-methods approach. RESULTS: Readmission occurred a median of 8 days (range 1 to 25 days) after discharge. All patients had follow-up scheduled with their surgeon, but readmission occurred before this in 72% of patients. Primary readmission diagnoses included infection, gastrointestinal complications, and dehydration. Patients (n = 18) and clinician providers (n = 6) identified a number of factors during the transition of care that may have contributed to readmission, including poor patient and caregiver understanding; inadequate discharge preparation for home care; insufficient educational process and materials, negatively affected by electronic health record design; and inadequate care team communication. CONCLUSIONS: This is the first study to use a human factors and systems engineering approach to evaluate the impact of the quality of the transition of care and its influence on readmission from the patient and clinician perspective. Important targets for future interventions include enhancing the discharge process, improving education materials, and increasing care team coordination, with the overarching theme that improved patient and caregiver understanding and engagement are essential to decrease readmission and postdischarge health care use. (C) 2015 by the American College of Surgeons
引用
收藏
页码:810 / 820
页数:11
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