IMplementing Predictive Analytics towards efficient COPD Treatments (IMPACT): protocol for a stepped-wedge cluster randomized impact study

被引:0
|
作者
Michaux, Kristina D. [1 ]
Metcalfe, Rebecca K. [1 ,2 ]
Burns, Paloma [3 ,4 ]
Conklin, Annalijn, I [1 ,2 ]
Hoens, Alison M. [2 ,5 ]
Smith, Daniel [5 ]
Struik, Laura [6 ]
Safari, Abdollah [1 ,7 ]
Sin, Don D. [3 ,4 ,8 ]
Sadatsafavi, Mohsen [1 ,8 ,9 ]
机构
[1] Univ British Columbia, Fac Pharmaceut Sci, Collaborat Outcomes Res & Evaluat CORE, Vancouver, BC V6T 1Z3, Canada
[2] St Pauls Hosp, Ctr Hlth Evaluat & Outcome Sci CHEOS, Vancouver, BC, Canada
[3] Univ British Columbia, Ctr Heart Lung Innovat, Vancouver, BC, Canada
[4] St Pauls Hosp, Vancouver, BC, Canada
[5] Univ British Columbia, Dept Phys Therapy, Vancouver, BC, Canada
[6] Univ British Columbia, Sch Nursing, Kelowna, BC, Canada
[7] Univ Tehran, Dept Math Stat & Comp Sci, Tehran, Iran
[8] Univ British Columbia, Dept Med, Div Respirol, Vancouver, BC, Canada
[9] Univ British Columbia, Ctr Clin Epidemiol & Evaluat, Vancouver, BC, Canada
基金
加拿大健康研究院;
关键词
Protocol; Chronic obstructive pulmonary disease; Clinical prediction models; Decision aid; Process of care; Prescription appropriateness; Sex and gender; OBSTRUCTIVE PULMONARY-DISEASE; SAMPLE-SIZE; POPULATION; EXACERBATIONS; GENDER; VALIDATION; MEDICINE; DESIGN; TRIALS; RISK;
D O I
10.1186/s41512-023-00140-6
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Personalized disease management informed by quantitative risk prediction has the potential to improve patient care and outcomes. The integration of risk prediction into clinical workflow should be informed by the experiences and preferences of stakeholders, and the impact of such integration should be evaluated in prospective comparative studies. The objectives of the IMplementing Predictive Analytics towards efficient chronic obstructive pulmonary disease (COPD) treatments (IMPACT) study are to integrate an exacerbation risk prediction tool into routine care and to determine its impact on prescription appropriateness (primary outcome), medication adherence, quality of life, exacerbation rates, and sex and gender disparities in COPD care (secondary outcomes).Introduction Personalized disease management informed by quantitative risk prediction has the potential to improve patient care and outcomes. The integration of risk prediction into clinical workflow should be informed by the experiences and preferences of stakeholders, and the impact of such integration should be evaluated in prospective comparative studies. The objectives of the IMplementing Predictive Analytics towards efficient chronic obstructive pulmonary disease (COPD) treatments (IMPACT) study are to integrate an exacerbation risk prediction tool into routine care and to determine its impact on prescription appropriateness (primary outcome), medication adherence, quality of life, exacerbation rates, and sex and gender disparities in COPD care (secondary outcomes).Methods IMPACT will be conducted in two phases. Phase 1 will include the systematic and user-centered development of two decision support tools: (1) a decision tool for pulmonologists called the ACCEPT decision intervention (ADI), which combines risk prediction from the previously developed Acute COPD Exacerbation Prediction Tool with treatment algorithms recommended by the Canadian Thoracic Society's COPD pharmacotherapy guidelines, and (2) an information pamphlet for COPD patients (patient tool), tailored to their prescribed medication, clinical needs, and lung function. In phase 2, we will conduct a stepped-wedge cluster randomized controlled trial in two outpatient respiratory clinics to evaluate the impact of the decision support tools on quality of care and patient outcomes. Clusters will be practicing pulmonologists (n >= 24), who will progressively switch to the intervention over 18 months. At the end of the study, a qualitative process evaluation will be carried out to determine the barriers and enablers of uptake of the tools.Discussion The IMPACT study coincides with a planned harmonization of electronic health record systems across tertiary care centers in British Columbia, Canada. The harmonization of these systems combined with IMPACT's implementation-oriented design and partnership with stakeholders will facilitate integration of the tools into routine care, if the results of the proposed study reveal positive association with improvement in the process and outcomes of clinical care. The process evaluation at the end of the trial will inform subsequent design iterations before largescale implementation.Trial registration NCT05309356.
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页数:15
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