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1.
J Am Coll Radiol ; 2022 Oct 19.
Article in English | MEDLINE | ID: covidwho-2243362

ABSTRACT

OBJECTIVE: The purpose of this project was to describe the results of this multi-institutional quality improvement (QI) program conducted in a virtual format. METHODS: Developed at Stanford in 2016, the Realizing Improvement through Team Empowerment (RITE) program utilizes a team-based, project-based improvement approach to QI. The program was planned to be replicated at two other institutions through respective onsite programs, but was converted to a multi-institutional virtual format in 2020 in response to the COVID-19 pandemic. The virtual program began in July 2020 and ended in December 2020. The two institutions participated jointly in the cohort, with ten 2-hour training sessions every two weeks for a total of 18 weeks. Project progress was monitored using a predetermined project progress scale by the program manager, who provided more direct project support as needed. RESULTS: The cohort consisted of six teams (37 participants) from two institutions. Each team completed a QI project in subjects including MRI, US, CT, DR and ACR certification. All projects reached levels of between 3.0 (initial test cycles begun with evidence of modest improvement) and 4.0 (performance data meeting goal and statistical process control criteria for improvement), and met graduation criteria for program completion. DISCUSSION: We found the structured problem-solving method, along with timely focused QI education materials via a virtual platform, to be effective in simultaneously facilitating improvement projects from multiple institutions. The combination of two institutions fostered encouragement and shared learning across institutions.

2.
Learn Health Syst ; 6(4): e10335, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1999889

ABSTRACT

Introduction: Many healthcare delivery systems have developed clinician-led quality improvement (QI) initiatives but fewer have also developed in-house evaluation units. Engagement between the two entities creates unique opportunities. Stanford Medicine funded a collaboration between their Improvement Capability Development Program (ICDP), which coordinates and incentivizes clinician-led QI efforts, and the Evaluation Sciences Unit (ESU), a multidisciplinary group of embedded researchers with expertise in implementation and evaluation sciences. Aim: To describe the ICDP-ESU partnership and report key learnings from the first 2 y of operation September 2019 to August 2021. Methods: Department-level physician and operational QI leaders were offered an ESU consultation to workshop design, methods, and overall scope of their annual QI projects. A steering committee of high-level stakeholders from operational, clinical, and research perspectives subsequently selected three projects for in-depth partnered evaluation with the ESU based on evaluability, importance to the health system, and broader relevance. Selected project teams met regularly with the ESU to develop mixed methods evaluations informed by relevant implementation science frameworks, while aligning the evaluation approach with the clinical teams' QI goals. Results: Sixty and 62 ICDP projects were initiated during the 2 cycles, respectively, across 18 departments, of which ESU consulted with 15 (83%). Within each annual cycle, evaluators made actionable, summative findings rapidly available to partners to inform ongoing improvement. Other reported benefits of the partnership included rapid adaptation to COVID-19 needs, expanded clinician evaluation skills, external knowledge dissemination through scholarship, and health system-wide knowledge exchange. Ongoing considerations for improving the collaboration included the need for multi-year support to enable nimble response to dynamic health system needs and timely data access. Conclusion: Presence of embedded evaluation partners in the enterprise-wide QI program supported identification of analogous endeavors (eg, telemedicine adoption) and cross-cutting lessons across QI efforts, clinician capacity building, and knowledge dissemination through scholarship.

3.
J Am Coll Radiol ; 18(3 Pt A): 380-387, 2021 03.
Article in English | MEDLINE | ID: covidwho-917326

ABSTRACT

PURPOSE: To determine the effect of coronavirus disease 2019 (COVID-19) on CT volumes in the United States during and after the first wave of the pandemic. METHODS: CT volumes from 2,398 US radiology practices participating in the ACR Dose Index Registry from January 1, 2020, to September 30, 2020, were analyzed. Data were compared to projected CT volumes using 2019 normative data and analyzed with respect to time since government orders, population-normalized positive COVID-19 tests, and attributed deaths. Data were stratified by state population density, unemployment status, and race. RESULTS: There were 16,198,830 CT examinations (2,398 practices). Volume nadir occurred an average of 32 days after each state-of-emergency declaration and 12 days after each stay-at-home order. At nadir, the projected volume loss was 38,043 CTs per day (of 71,626 CTs per day; 53% reduction). Over the entire study period, there were 3,689,874 fewer CT examinations performed than predicted (of 18,947,969; 19% reduction). There was less reduction in states with smaller population density (15% [169,378 of 1,142,247; quartile 1] versus 21% [1,894,152 of 9,140,689; quartile 4]) and less reduction in states with a lower insured unemployed proportion (13% [279,331 of 2,071,251; quartile 1] versus 23% [1,753,521 of 7,496,443; quartile 4]). By September 30, CT volume had returned to 84% (59,856 of 71,321) of predicted; recovery of CT volume occurred as positive COVID-19 tests rose and deaths were in decline. CONCLUSION: COVID-19 substantially reduced US CT volume, reflecting delayed and deferred care, especially in states with greater unemployment. Partial volume recovery occurred despite rising positive COVID-19 tests.


Subject(s)
COVID-19/epidemiology , Radiology Department, Hospital/statistics & numerical data , Tomography, X-Ray Computed/statistics & numerical data , Workload/statistics & numerical data , Humans , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , SARS-CoV-2 , United States/epidemiology
4.
J Am Coll Radiol ; 17(7): 855-864, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-628858

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has reduced radiology volumes across the country as providers have decreased elective care to minimize the spread of infection and free up health care delivery system capacity. After the stay-at-home order was issued in our county, imaging volumes at our institution decreased to approximately 46% of baseline volumes, similar to the experience of other radiology practices. Given the substantial differences in severity and timing of the disease in different geographic regions, estimating resumption of radiology volumes will be one of the next major challenges for radiology practices. We hypothesize that there are six major variables that will likely predict radiology volumes: (1) severity of disease in the local region, including potential subsequent "waves" of infection; (2) lifting of government social distancing restrictions; (3) patient concern regarding risk of leaving home and entering imaging facilities; (4) management of pent-up demand for imaging delayed during the acute phase of the pandemic, including institutional capacity; (5) impact of the economic downturn on health insurance and ability to pay for imaging; and (6) radiology practice profile reflecting amount of elective imaging performed, including type of patients seen by the radiology practice such as emergency, inpatient, outpatient mix and subspecialty types. We encourage radiology practice leaders to use these and other relevant variables to plan for the coming weeks and to work collaboratively with local health system and governmental leaders to help ensure that needed patient care is restored as quickly as the environment will safely permit.


Subject(s)
Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Practice Management, Medical/organization & administration , Radiology Department, Hospital/organization & administration , Workload , Betacoronavirus , COVID-19 , Coronavirus Infections/prevention & control , Cross Infection/prevention & control , Disease Outbreaks/prevention & control , Humans , Infection Control/methods , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , SARS-CoV-2 , United States/epidemiology
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