Author/year | Outcome measures | Significant improvement + 1/02/0a 3 | RAND QI-MQCS score | QI methods | QI focus |
---|---|---|---|---|---|
Dziuban et al., (1994) [39] | Risk adjusted mortality | 0a | 12 | Benchmarking | Hospital-specific and physician-specific results published annually in cardiac surgery. |
Adams et al., (1998) [43] | Ambulation/locomotion | 0 | 10 | No clear QI method | Implementation of and outcome-based quality improvement concept including two outcome reports. |
Bathing | 0 | ||||
Management of oral medications | 0 | ||||
Pain | 0 | ||||
Dyspnoea | 0 | ||||
Halpin et al., (2004) [40] | Postoperative Atrial fibrillation | 0a | 11 | Benchmarking | Implementation of a new guideline based on insights into outcomes, literature and roundtable discussion. An Outcome Center was formed and a multidisciplinary Performance Improvement Committee. |
Operative mortality | 0 | ||||
Cardiac arrest | 0 | ||||
Reoperation for bleeding | 0 | ||||
Pneumonia | 0 | ||||
Deep sternal infection | 0 | ||||
Permanent stroke | 0 | ||||
Transient stroke | 0 | ||||
Prolonged ventilation | 0 | ||||
Length of stay | 0 | ||||
Moller et al., (2005) [38] | Overall operative Mortality | 0a | 7 | Benchmarking | Developed a centralized data acquisition and analysis method (through the creation of the network paediatric Cardiac Care Consortium). A uniform diagnostic and procedure classification system was created. Differences in patient populations cared for at the cardiac centres were compared. |
Thomas et al., (2007) [24] | HgbA1c | 0 | 13 | IT application as feedback tool | Registry-generated audit, feedback and patient reminder targeted at residents. |
LDL cholesterol | 0 | ||||
Blood pressure | 0 | ||||
Peterson et al., (2008) [27] | Mean systolic blood pressure | + | 10 | IT application as feedback tool | Multicomponent intervention: implementation of an electronic diabetes registry, visit reminders, and patient-specific physician alerts. |
HbA1c | + | ||||
Mean LDL | + | ||||
Carlhed et al., (2009) [42] | Mortality | + | 12 | Collaborative Care Model | Multidisciplinary teams consisted of critical care unit nurses and cardiologists were assigned at each of the 19 volunteering hospitals. 19 teams of 4 to 5 persons met at 4 (group A) or 2 (group B) training sessions during which education by QI experts was provided, using the Breakthrough Series curricula. |
Readmission rate | + | ||||
Bleeding complication | + | ||||
Jakobsen et al., (2009) [33] | 1-year survival | + | 5 | Benchmarking | Indicators (staging, surgical procedures, complications and survival) have been registered in 5007 patients who underwent surgery. Each year the results have been audited locally, regionally and nationally and improvements have been proposed, implemented, monitored and evaluated by the audit-plenary. |
2-year survival | + | ||||
5-year survival | 0 | ||||
30-day mortality | 0a | ||||
Kraynack et al., (2009) [35] | FEV1 | 0a | 12 | Learning and Leadership Collaborative | A QI process is described from the initial team-building phase, through the assessment of care processes, standardization of care, and developing a culture of continuous improvement aiming to improve pulmonary function of the paediatric patients. |
MacLean et al., (2009) [25] | Blood pressure | 0 | 10 | The Chronic Care Model | Providing decision support and patient decision support in diabetes care delivery. |
BMI | 0 | ||||
SF-12 Physical | 0a | ||||
SF-12 Mental Quality of life | 0 | ||||
Exercise habit | + | Â | |||
Toh et al., (2009) [30] | Poor HbA1c (9% and above) | 0a | 11 | IT application as feedback tool | Chronic disease management system with patient reminders based on registry data. |
Good LDL-control below 2.6 mmol/L | 0a |  | |||
Baty et al., (2010) [29] | % with HbA1c < 7% | + | 10 | No clear QI method | Implementing a comprehensive system-based disease management process including a diabetes registry and quality reports. |
% with HbA1c < 9% | + | ||||
%with LDL < 100 | + | ||||
Beaulieau et al., (2010) [41] | Mortality | 0a | 7 | Benchmarking IT application as feedback tool | Implementing a method for linking administrative and registry data to track quality improvement initiatives through dashboards. |
Infusion rate | 0a | ||||
Bricker et al., (2010) [28] | A1C | 0a | 9 | Collaborative Care Model | Implementing the Chronic Care Model through regional care learning collaborative with focus on team-based care, patient-centred care coordination, delivery of evidence-based care, patient self-management, use of a patient registry system and culturally and linguistically competent care. |
Blood pressure | 0a | ||||
LDL Cholesterol levels | 0a | ||||
Bauer et al. (2011) [44] | Depression improved in acute phase (PHQ-9 score) | + | 12 | Collaborative Care Model | Implementing a collaborative care model including a web-based disease registry, care management to support treatment and organized psychiatric consultation. |
A1C testing | 0 | 10 | Plan-do-check-act (PDCA) | Realizing continuous quality improvement through benchmarking in cystic fibrosis care. | |
Stern et al., (2011) [36] | FEV1 > 80 < 18 | 0a | |||
FEV1 > 80 > 18 | 0a | ||||
BMI > 19 | 0a | ||||
WH > 90 | 0a | ||||
Jakobsen et al., (2013) [34] | 1-year survival | + | 5 | Benchmarking | Indicators were established, validated, and monitored. 40,000 patients have been included in the database. Results were reported periodically and submitted to realize auditing on an annual basis. |
2-year survival | + | ||||
5-year survival | + | ||||
Siracusaet al., (2014) [37] | Median FEV1 | 0a | 13 | Plan-do-check-act (PDCA) The Chronic Care Model | Several improvement interventions implemented between 2001 and 2007 with focus on patient and family engagement in CF care, improve access and use of data, individualized scheduling, improving vaccination rates, infection control aiway clearance, standardization of care processes, and forming and QI team. |
Median body mass index (BMI) | 0a | ||||
Peterson et al., (2015) [26] | Systolic blood pressure | 0a | 13 | Plan-do-check-act (PDCA) Collaborative Care Model | The effect of 23 diabetes teams joining a quality collaborative on patient outcomes. |
HbA1c | 0a | ||||
LDL | 0a | ||||
Han et al. (2016) [31] | Hospitalization with ambulatory care-sensitive conditions | + | 7 | No clear QI method | Using clinical registry data to identify patients who should receive reminders for preventive/follow-up care and send reminders to those patients. Generate a list of patients by condition to use for quality improvement. |
ED visits | + | ||||
Lail et al., (2017) [32] | Disease remission | 0a | 13 | The Chronic Care Model | Eighteen condition teams implemented interventions varying from: establishing pre-visit planning (PVP), identifying the target populations, selecting and measuring outcomes and supporting processes, building and implementing care coordination, and assessing and addressing self-management support. The teams were free to choose the interventions that they thought would work best. |
Disease control | 0a | ||||
Quality of life | 0a | ||||
Symptom management | 0a |