Economic analysis of surgical outcome monitoring using control charts: the SHEWHART cluster randomised trial.

IF 5.6 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES BMJ Quality & Safety Pub Date : 2024-04-24 DOI:10.1136/bmjqs-2022-015390
Sarah Skinner, Léa Pascal, Stéphanie Polazzi, François Chollet, Jean-Christophe Lifante, Antoine Duclos
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Abstract

Importance: Surgical complications represent a considerable proportion of hospital expenses. Therefore, interventions that improve surgical outcomes could reduce healthcare costs.

Objective: Evaluate the effects of implementing surgical outcome monitoring using control charts to reduce hospital bed-days within 30 days following surgery, and hospital costs reimbursed for this care by the insurer.

Design: National, parallel, cluster-randomised SHEWHART trial using a difference-in-difference approach.

Setting: 40 surgical departments from distinct hospitals across France.

Participants: 155 362 patients over the age of 18 years, who underwent hernia repair, cholecystectomy, appendectomy, bariatric, colorectal, hepatopancreatic or oesophageal and gastric surgery were included in analyses.

Intervention: After the baseline assessment period (2014-2015), hospitals were randomly allocated to the intervention or control groups. In 2017-2018, the 20 hospitals assigned to the intervention were provided quarterly with control charts for monitoring their surgical outcomes (inpatient death, intensive care stay, reoperation and severe complications). At each site, pairs, consisting of one surgeon and a collaborator (surgeon, anaesthesiologist or nurse), were trained to conduct control chart team meetings, display posters in operating rooms, maintain logbooks and design improvement plans.

Main outcomes: Number of hospital bed-days per patient within 30 days following surgery, including the index stay and any acute care readmissions related to the occurrence of major adverse events, and hospital costs reimbursed for this care per patient by the insurer.

Results: Postintervention, hospital bed-days per patient within 30 days following surgery decreased at an adjusted ratio of rate ratio (RRR) of 0.97 (95% CI 0.95 to 0.98; p<0.001), corresponding to a 3.3% reduction (95% CI 2.1% to 4.6%) for intervention hospitals versus control hospitals. Hospital costs reimbursed for this care per patient by the insurer significantly decreased at an adjusted ratio of cost ratio (RCR) of 0.99 (95% CI 0.98 to 1.00; p=0.01), corresponding to a 1.3% decrease (95% CI 0.0% to 2.6%). The consumption of a total of 8910 hospital bed-days (95% CI 5611 to 12 634 bed-days) and €2 615 524 (95% CI €32 366 to €5 405 528) was avoided in the intervention hospitals postintervention.

Conclusions: Using control charts paired with indicator feedback to surgical teams was associated with significant reductions in hospital bed-days within 30 days following surgery, and hospital costs reimbursed for this care by the insurer.

Trial registration number: NCT02569450.

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使用控制图监测手术结果的经济学分析:SHEWHART 分组随机试验。
重要性:手术并发症在住院费用中占有相当大的比例。因此,改善手术效果的干预措施可降低医疗成本:评估使用控制图实施手术效果监测的效果,以减少术后 30 天内的住院天数,以及保险公司为此报销的住院费用:设计:全国性、平行、分组随机SHEWHART试验,采用差异法:地点:法国各地不同医院的 40 个外科部门:155362 名 18 岁以上接受过疝修补术、胆囊切除术、阑尾切除术、减肥手术、结直肠手术、肝胰腺手术或食道和胃手术的患者纳入分析:基线评估期(2014-2015 年)结束后,医院被随机分配到干预组或对照组。2017-2018 年,每季度向被分配到干预组的 20 家医院提供对照表,以监测其手术结果(住院病人死亡、重症监护住院、再次手术和严重并发症)。在每个地点,由一名外科医生和一名合作者(外科医生、麻醉师或护士)组成的对子接受了培训,以召开控制图小组会议、在手术室张贴海报、保存日志和设计改进计划:主要结果:每位患者术后 30 天内的住院天数,包括指标住院天数和因发生重大不良事件而再次入院的急诊天数,以及保险公司为每位患者报销的住院费用:结果:干预后,每位患者术后 30 天内的住院天数减少了 0.97(95% CI 0.95 至 0.98;p):使用与指标反馈相匹配的控制图给手术团队,可显著减少术后30天内的住院天数,保险公司也会为此报销住院费用:NCT02569450。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Quality & Safety
BMJ Quality & Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
9.80
自引率
7.40%
发文量
104
审稿时长
4-8 weeks
期刊介绍: BMJ Quality & Safety (previously Quality & Safety in Health Care) is an international peer review publication providing research, opinions, debates and reviews for academics, clinicians and healthcare managers focused on the quality and safety of health care and the science of improvement. The journal receives approximately 1000 manuscripts a year and has an acceptance rate for original research of 12%. Time from submission to first decision averages 22 days and accepted articles are typically published online within 20 days. Its current impact factor is 3.281.
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