Carlos Cardenas

Assistant Professor

The University of Alabama
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Articles (14)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

PURPOSE Global access to radiotherapy (RT) is inequitable, with obstacles to implementing modern technologies in low- and middle- income countries (LMICs). The Radiation Planning Assistant (RPA) is a web-based automated RT planning software package intended to increase accessibility of high-quality RT planning. We surveyed LMIC RT providers to identify barriers and facilitators of future RPA deployment and uptake. METHODS RT providers underwent a pilot RPA teaching session in sub-Saharan Africa (Botswana, South Africa, and Tanzania) and Central America (Guatemala). Thirty providers (30 of 33, 90.9% response rate) participated in a postsession survey. RESULTS Respondents included physicians (n = 10, 33%), physicists (n = 9, 30%), dosimetrists (n = 8, 27%), residents/registrars (n = 1, 3.3%), radiation therapists (n = 1, 3.3%), and administrators (n = 1, 3.3%). Overall, 86.7% expressed interest in RPA; more respondents expected that RPA would be usable in 2 years (80%) compared with now (60%). Anticipated barriers were lack of reliable internet (80%), potential subscription fees (60%), and need for functionality in additional disease sites (48%). Expected facilitators included decreased workload (80%), decreased planning time (72%), and ability to treat more patients (64%). Forty-four percent anticipated that RPA would help transition from 2-dimensional to 3-dimensional techniques and 48% from 3-dimensional to intensity-modulated radiation treatment. Of a maximum acceptability/feasibility score of 60, physicians (45.6, standard deviation [SD] = 7.5) and dosimetrists (44.3, SD = 9.1) had lower scores than the mean for all respondents (48.3, SD = 7.7) although variation in scores by roles was not significantly different ( P = .21). CONCLUSION These data provide an early assessment and create an initial framework to identify stakeholder needs and establish priorities to address barriers and promote facilitators of RPA deployment and uptake across global sites, as well as to tailor to needs in LMICs.

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (13)

Skylar Gay

The University of Texas MD Anderson Cancer Center

UNITED STATES
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Laurence Court

Associate Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES
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Jack Phan

Physician/Associate Professor

MD Anderson Cancer Center

UNITED STATES
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Zohaib Iqbal

UAB Hospital

UNITED STATES
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Kunio Nakamura

Assistant Professor

Cleveland Clinic

UNITED STATES
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Beth M. Beadle

Stanford University

UNITED STATES
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Matthew Ning

The University of Texas MD Anderson Cancer Center

UNITED STATES
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Gerd Heilemann

Medical University of Vienna

AUSTRIA
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David Jaffray

Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES
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Thomas Purdie

Associate Professor

University of Toronto

CANADA
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Grace L. Smith

The University of Texas MD Anderson Cancer Center

UNITED STATES
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Abdallah Mohamed

Assistant Professor

Baylor College of Medicine

UNITED STATES
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Rex Cardan

The University of Alabama

UNITED STATES
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