Effectiveness of a multifaceted quality improvement intervention to improve patient outcomes after total hip and knee arthroplasty: a registry nested cluster randomised controlled trial

被引:12
作者
van Schie, Peter [1 ,2 ]
van Bodegom-Vos, Leti [2 ]
Zijdeman, Tristan M. [2 ]
Nelissen, Rob G. H. H. [1 ]
van de Mheen, Perla J. [2 ]
机构
[1] Leiden Univ, Med Ctr, Orthopaed, NL-2333 ZA Leiden, Zuid Holland, Netherlands
[2] Leiden Univ, Med Ctr, Med Decis Making, Biomed Data Sci, Leiden, Zuid Holland, Netherlands
关键词
INTENSIVE-CARE UNITS; IMPACT;
D O I
10.1136/bmjqs-2021-014472
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective To assess the effectiveness of a prospective multifaceted quality improvement intervention on patient outcomes after total hip and knee arthroplasty (THA and TKA). Design Cluster randomised controlled trial nested in a national registry. From 1 January 2018 to 31 May 2020 routinely submitted registry data on revision and patient characteristics were used, supplemented with hospital data on readmission, complications and length of stay (LOS) for all patients. Setting 20 orthopaedic departments across hospitals performing THA and TKA in The Netherlands. Participants 32 923 patients underwent THA and TKA, in 10 intervention and 10 control hospitals (usual care). Intervention The intervention period lasted 8 months and consisted of the following components: (1) monthly updated feedback on 1-year revision, 30-day readmission, 30-day complications, long (upper quartile) LOS and these four indicators combined in a composite outcome; (2) interactive education; (3) an action toolbox including evidence-based quality improvement initiatives (QIIs) to facilitate improvement of above indicators; and (4) bimonthly surveys to report on QII undertaken. Main outcome measures The primary outcome was textbook outcome (TO), an all-or-none composite representing the best outcome on all performance indicators (ie, the absence of revision, readmissions, complications and long LOS).The individual indicators were analysed as secondary outcomes. Changes in outcomes from preintervention to intervention period were compared between intervention versus control hospitals, adjusted for case-mix and clustering of patients within hospitals using random effect binary logistic regression models. The same analyses were conducted for intervention hospitals that did and did not introduce QII. Results 16,314 patients were analysed in intervention hospitals (12,475 before and 3,839 during intervention) versus 16,609 in control hospitals (12,853 versus 3,756). After the intervention period, the absolute probability to achieve TO increased by 432% (95% confidence interval (CI) 4.30-4.34) more in intervention than control hospitals, corresponding to 21.6 (95%CI 21.5-21.8), i.e., 22 patients treated in intervention hospitals to achieve one additional patient with TO. Intervention hospitals had a larger increase in patients achieving TO (ratio of adjusted odds ratios 1.24, 95%CI 1.05-1.48) than control hospitals, a larger reduction in patients with long LOS (0.74, 95%CI 0.61-0.90) but also a larger increase in patients with reported 30-day complications (1.34, 95% CI 1.00-1.78). Intervention hospitals that introduced QII increased more in TO (1.32, 95% CI 1.10-1.57) than control hospitals, with no effect shown for hospitals not introducing QII (0.93, 95% CI 0.67-1.30). Conclusion The multifaceted QI intervention including monthly feedback, education, and a toolbox to facilitate QII effectively improved patients achieving TO. The effect size was associated with the introduction of (evidence-based) QII, considered as the causal link to achieve better patient outcomes.
引用
收藏
页码:34 / 46
页数:13
相关论文
共 45 条
[1]  
[Anonymous], 2008, Norwegian Patient Register
[2]   Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model [J].
Austin, Peter C. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2010, 63 (01) :2-6
[3]   A comparison of outcomes in osteoarthritis patients undergoing total hip and knee replacement surgery [J].
Bachmeier, CJM ;
March, LM ;
Cross, MJ ;
Lapsley, HM ;
Tribe, KL ;
Courtenay, BG ;
Brooks, PM .
OSTEOARTHRITIS AND CARTILAGE, 2001, 9 (02) :137-146
[4]   The problem with composite indicators [J].
Barclay, Matthew ;
Dixon-Woods, Mary ;
Lyratzopoulos, Georgios .
BMJ QUALITY & SAFETY, 2019, 28 (04) :338-344
[5]   Variation in Hospital-Level Risk-Standardized Complication Rates Following Elective Primary Total Hip and Knee Arthroplasty [J].
Bozic, Kevin J. ;
Grosso, Laura M. ;
Lin, Zhenqiu ;
Parzynski, Craig S. ;
Suter, Lisa G. ;
Krumholz, Harlan M. ;
Lieberman, Jay R. ;
Berry, Daniel J. ;
Bucholz, Robert ;
Han, Lein ;
Rapp, Michael T. ;
Bernheim, Susannah ;
Drye, Elizabeth E. .
JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME, 2014, 96A (08) :640-647
[6]   Practice Feedback Interventions: 15 Suggestions for Optimizing Effectiveness [J].
Brehaut, Jamie C. ;
Colquhoun, Heather L. ;
Eva, Kevin W. ;
Carroll, Kelly ;
Sales, Anne ;
Michie, Susan ;
Ivers, Noah ;
Grimshaw, Jeremy M. .
ANNALS OF INTERNAL MEDICINE, 2016, 164 (06) :435-+
[7]   Optimising impact and sustainability: a qualitative process evaluation of a complex intervention targeted at compassionate care [J].
Bridges, Jackie ;
May, Carl ;
Fuller, Alison ;
Griffiths, Peter ;
Wigley, Wendy ;
Gould, Lisa ;
Barker, Hannah ;
Libberton, Paula .
BMJ QUALITY & SAFETY, 2017, 26 (12) :970-977
[8]   Sustaining quality improvement efforts: emerging principles and practice [J].
Burke, Robert E. ;
Marang-van de Mheen, Perla J. .
BMJ QUALITY & SAFETY, 2021, 30 (11) :848-852
[9]  
ClinicalTrial.gov, IMPROVING QUALITY BA
[10]  
Danish Hip Arthroplasty Register (DHAR), 2020, Annual report