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A Novel Mixed Methods Approach Combining Geospatial Mapping and Qualitative Inquiry to Identify Multilevel Policy Targets

The Focused Rapid Assessment Process (fRAP) Applied to Cancer Survivorship

Bibliographic Data

ID12811894
AuthorsAutumn Kieber-Emmons (0000-0002-9135-9099, University of South Florida, corresponding author), William L Miller (0000-0002-9957-1211, Lehigh Valley Health Network), Ellis Rubinstein (0000-0003-4299-021X, North Dakota State University), Jenna Howard (Johnson University), Jennifer Tsui (0000-0002-5616-9636, University of Southern California), Jennifer Rankin (American Academy of Family Physicians), Benjamin F Crabtree (0000-0003-2292-6835, Rutgers, the State University of New Jersey)
Year2021
Volume16
Issue2
Pages183-206
Publication date2021-01-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Mixed Methods Research (JOURNAL)
Journal identifiersISSN: 1558-6898 • E-ISSN: 1558-6901
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1558689820984273
PMID35603123
OpenAlexW3119175798
LanguageEN
Citations received7
References cited39

Multi-level perspectives across communities, medical systems and policy environments are needed, but few methods are available for health services researchers with limited resources. We developed a mixed method health policy approach, the focused Rapid Assessment Process (fRAP) , that is designed to uncover multi-level modifiable barriers and facilitators contributing to public health issues. We illustrate with a study applying fRAP to the issue of cancer survivorship care. Through this multi-level investigation we identified two major modifiable areas impacting high-quality cancer survivorship care: 1) the importance of cancer survivorship guidelines/data, 2) the need for improved oncology-primary care relationships. This article contributes to the mixed methods literature by coupling geospatial mapping to qualitative rapid assessment to efficiently identify policy change targets

Business · Cancer · Cancer survivorship · Geography · Geospatial analysis · Health care · Political science · Process (computing · Process management · Qualitative research · Sociology · Survivorship curve · Computer Science · Global Cancer Incidence and Screening · Health Systems, Economic Evaluations, Quality of Life · Medicine · Primary Care and Health Outcomes · Psychology

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Unique citing works7
Citations per year1,75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7
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