Patient preferences for the design of a pharmacy-based colorectal cancer screening program Article Swipe
Alison T. Brenner
,
Austin R. Waters
,
Mary Wangen
,
Catherine L. Rohweder
,
Olufeyisayo O. Odebunmi
,
Macary Weck Marciniak
,
Renée M. Ferrari
,
Stephanie B. Wheeler
,
Parth D. Shah
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s10552-023-01687-x
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s10552-023-01687-x
Purpose To assess preferences for design of a pharmacy-based colorectal cancer (CRC) screening program (PharmFIT™) among screening-eligible adults in the United States (US) and explore the impact of rurality on pharmacy use patterns (e.g., pharmacy type, prescription pick-up preference, service quality rating). Methods We conducted a national online survey of non-institutionalized US adults through panels managed by Qualtrics, a survey research company. A total of 1,045 adults (response rate 62%) completed the survey between March and April 2021. Sampling quotas matched respondents to the 2010 US Census and oversampled rural residents. We assessed pharmacy use patterns by rurality and design preferences for learning about PharmFIT™; receiving a FIT kit from a pharmacy; and completing and returning the FIT kit. Results Pharmacy use patterns varied, with some notable differences across rurality. Rural respondents used local, independently owned pharmacies more than non-rural respondents (20.4%, 6.3%, p < 0.001) and rated pharmacy service quality higher than non-rural respondents. Non-rural respondents preferred digital communication to learn about PharmFIT™ (36% vs 47%; p < 0.001) as well as digital FIT counseling (41% vs 49%; p = 0.02) more frequently than rural participants. Preferences for receiving and returning FITs were associated with pharmacy use patterns: respondents who pick up prescriptions in-person preferred to get their FIT (OR 7.7; 5.3–11.2) and return it in-person at the pharmacy (OR 1.7; 1.1–2.4). Conclusion Pharmacies are highly accessible and could be useful for expanding access to CRC screening services. Local context and pharmacy use patterns should be considered in the design and implementation of PharmFIT™.
Related Topics
Concepts
Medicine
Colorectal cancer
Pharmacy
Epidemiology
Family medicine
Public health
Colorectal cancer screening
Oncology
Internal medicine
Cancer
Nursing
Colonoscopy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10552-023-01687-x
- https://link.springer.com/content/pdf/10.1007/s10552-023-01687-x.pdf
- OA Status
- hybrid
- Cited By
- 10
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366352925
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4366352925Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s10552-023-01687-xDigital Object Identifier
- Title
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Patient preferences for the design of a pharmacy-based colorectal cancer screening programWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-19Full publication date if available
- Authors
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Alison T. Brenner, Austin R. Waters, Mary Wangen, Catherine L. Rohweder, Olufeyisayo O. Odebunmi, Macary Weck Marciniak, Renée M. Ferrari, Stephanie B. Wheeler, Parth D. ShahList of authors in order
- Landing page
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https://doi.org/10.1007/s10552-023-01687-xPublisher landing page
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https://link.springer.com/content/pdf/10.1007/s10552-023-01687-x.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s10552-023-01687-x.pdfDirect OA link when available
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Medicine, Colorectal cancer, Pharmacy, Epidemiology, Family medicine, Public health, Colorectal cancer screening, Oncology, Internal medicine, Cancer, Nursing, ColonoscopyTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 2, 2024: 3, 2023: 5Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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