Pharmacist-Led Interventions for Colorectal Cancer Prevention: A Systematic Review
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Study Selection
2.3. Inclusion Criteria
2.4. Outcomes
2.5. Data Extraction and Risk of Bias Assessment
3. Results
3.1. Search Results
3.2. Study Characteristics
3.3. Study Population Characteristics
3.4. Study Design Characteristics
3.5. Study Findings
4. Discussion
4.1. Emerging Patterns
4.2. Comparison with Other Cancer Prevention Programs
4.3. Lifestyle Interventions
4.4. Strengths and Limitations
4.5. Practical Implications
4.6. Policy Recommendations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Study Reference | Full Title | Study Location | Funding Sources | Number of Participants | Study Design | Study Duration | Follow-Up Period |
|---|---|---|---|---|---|---|---|
| Jairoun et al. (2024) [29] | Community pharmacist-led point-of-care CRC screening program: Early detection of CRC in high-risk patients | United Arab Emirates | No funding reported | 401 | Prospective pre–post | 10 months | No |
| Moore et al. (2023) [30] | Assessing the effects of pharmacist-provided education on CRC screening and access to a stool-based DNA test | United States of America | American Pharmacists Association Foundation (incentive grant) | 42 | Prospective Pre–post | 4 months | No |
| Holle et al. (2020) [31] | Pharmacist-led intervention in a CRC screening initiative | United States of America | UCHC-UConn Storrs Seed Grant Funding in Cancer Control program; FIT kits were donated by Polymedco (Seattle, WA) | 16 | Prospective pre–post | Not clearly specified | Up to 45 days (two telephone follow-ups), follow-up survey of CRC knowledge and program satisfaction |
| Sriram et al. (2016) [32] | A model for assessment and referral of clients with bowel symptoms in community pharmacies | Australia | Jodi Lee Foundation PhD scholarship | 164 (84 Usual practice; 80 JLT) | Prospective pre–post | 11 months | 4+ weeks post-visit, telephone follow-up |
| Question | Jairoun et al. (2024) [29] | Moore et al. (2023) [30] | Holle et al. (2020) [31] | Sriram et al. (2016) [32] |
|---|---|---|---|---|
| 1. Was the study question or objective clearly stated? | yes | yes | yes | yes |
| 2. Were eligibility/selection criteria for the study population prespecified and clearly described? | yes | yes | yes | yes |
| 3. Were the participants in the study representative of those who would be eligible for the test/service/intervention in the general or clinical population of interest? | yes | no | no | yes |
| 4. Were all eligible participants that met the prespecified entry criteria enrolled? | CD | no | no | CD |
| 5. Was the sample size sufficiently large to provide confidence in the findings? | no | no | no | yes |
| 6. Was the test/service/intervention clearly described and delivered consistently across the study population? | CD | yes | yes | yes |
| 7. Were the outcome measures prespecified, clearly defined, valid, reliable, and assessed consistently across all study participants? | no | yes | yes | yes |
| 8. Were the people assessing the outcomes blinded to the participants’ exposures/interventions? | no | no | no | no |
| 9. Was the loss to follow-up after baseline 20% or less? Were those lost to follow-up accounted for in the analysis? | NA | CD | no | yes |
| 10. Did the statistical methods examine changes in outcome measures from before to after the intervention? Were statistical tests done that provided p values for the pre-to-post changes? | no | yes | yes | yes |
| 11. Were outcome measures of interest taken multiple times before the intervention and multiple times after the intervention (i.e., did they use an interrupted time-series design)? | no | no | no | no |
| 12. If the intervention was conducted at a group level (e.g., a whole hospital, a community, etc.) did the statistical analysis take into account the use of individual-level data to determine effects at the group level? | no | NA | NA | CD |
| Quality rating | poor | fair | fair | good |
Study Reference | Age | Sex | Health Status | Comorbidities | Socioeconomic Factors |
|---|---|---|---|---|---|
| Jairoun et al. (2024) [29] | Mean: 66.6 ± 11.3 | Male: 39.9%, Female: 60.1% | Obesity and overweight in those with high risk of CRC | Type 2 diabetes (85%), inflammatory bowel disease (10.5%) | Not stated |
| Moore et al. (2023) [30] | Median: 59 (range: 52–62.5) | Male: 51.2%, Female: 48.8% | Chronic disease management program (diabetes and cardiovascular diseases) | Type 1/2 diabetes, hypertension, dyslipidemia, ASCVD | Most had ≤college education |
| Holle et al. (2020) [31] | 45+ | Female: 56.2%, Male: 43.8% | No active disease in those with risk of CRC according to the National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology | Not reported | Socioeconomically disadvantaged population: 68.75% unemployed and 62.5% without college education |
| Sriram et al. (2016) [32] | 18+ | Female: 71%, Male: 29% | Participants with bowel symptoms suggestive of carcinoma | Not reported | Diverse socioeconomic population |
| Study Reference | Study Purpose | Outcomes Measured | Assessment Tools | Participant Resources | Training for Pharmacists | Details on Pharmacies | Study Findings |
|---|---|---|---|---|---|---|---|
| Jairoun et al. (2024) [29] | FOBT kit distribution, identification of individuals at increased risk | FIT completion and CRC prevalence | FIT, demographic and baseline characteristic questionnaire, and reminder phone calls or text messages twice a month | Face-to-face counseling, communication materials regarding appropriate prevention strategies and risk of CRC | Not reported | Six chain and independent community pharmacies | Statistically significant association between increased prevalence of CRC and age, inflammatory bowel disease, and diabetes mellitus 2. Decreased prevalence of CRC among aspirin users. No data on FIT kit return rates. |
| Moore et al. (2023) [30] | Provision of patient education, FOBT kit distribution | Knowledge score, perception of risk of developing colon cancer, and test completion | 16-item pre/post questionnaire targeting demographics, knowledge about CRC, screening intentions and barriers, stool-based DNA test, GP referrals, and CRC status evaluation tool | Questionnaire and verbal dispensation and written materials about CRC risk factors, symptoms, and prevention | Education offered by the primary researcher about questionnaire administration, risk factors for CRC, screening initiation, prevention, stool-based DNA test insurance coverage, and effectiveness | Regional grocery store chain of pharmacies involved in the pharmacist-led chronic disease state management program | Significant increase in knowledge scores. The three most common reported barriers to completing CRC screening were identified (cost of screening, not being concerned with colon cancer, and lack of follow-up from a physician). A total of 42 participants completed the questionnaires and 17% of participants underwent screening during the study. |
| Holle et al. (2020) [31] | FIT distribution, provision of patient education | FIT completion and CRC knowledge improvement (CRC risk factors, tests, symptoms, screening options) | FIT, CRC risk score calculation, knowledge pre/post questionnaire, and two follow-up call reminders | Written instructions on sample collection and return and face-to-face counseling on proper use of FIT and risk reduction mechanisms | Practice-based certificate program—online didactic learning + in-person training about CRC screening methods, statistics, risk factors, and communication skills for speaking with patients and motivational techniques | UConn Health Colon Cancer Prevention Program and UConn School of Pharmacy, in collaboration with major independent chain pharmacies in underserved metropolitan areas | After approaching 312 people, 16 participants enrolled in the study, with 8 participants agreeing to complete FIT. There was one positive FIT, but the follow-up colonoscopy for that patient was negative. In the baseline CRC knowledge survey, 16 participants answered an average of 2.6 questions incorrectly. Follow-up (n = 4) results were similar. |
| Sriram et al. (2016) [32] | Facilitation of referrals to physicians | GP referral rate, GP visit rate, and diagnosis outcome | JLT questionnaire compared vs. usual practice, post-trial staff survey conducted on the usability of JLT, and recommendations for future | No resources reported; consultations with pharmacists about symptoms, medications used, and referrals were offered | Training session on the research protocol and instructions on the recruitment and study documentation | 21 community pharmacies | A total of 80 participants were observed for 20 weeks; 50 of them (63%) were identified by the JLT for GP referral, but pharmacists confirmed only 30 (38%), often due to GP awareness of symptoms or medication side effects. Intervention Phase versus the Usual Practice Phase referral rates were 38% vs. 20%. |
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Share and Cite
Majsniarova, Z.; Minarikova, D.; Minarik, P.; Fazekas, T.; Sremanakova, J. Pharmacist-Led Interventions for Colorectal Cancer Prevention: A Systematic Review. Curr. Oncol. 2026, 33, 177. https://doi.org/10.3390/curroncol33030177
Majsniarova Z, Minarikova D, Minarik P, Fazekas T, Sremanakova J. Pharmacist-Led Interventions for Colorectal Cancer Prevention: A Systematic Review. Current Oncology. 2026; 33(3):177. https://doi.org/10.3390/curroncol33030177
Chicago/Turabian StyleMajsniarova, Zuzana, Daniela Minarikova, Peter Minarik, Tomas Fazekas, and Jana Sremanakova. 2026. "Pharmacist-Led Interventions for Colorectal Cancer Prevention: A Systematic Review" Current Oncology 33, no. 3: 177. https://doi.org/10.3390/curroncol33030177
APA StyleMajsniarova, Z., Minarikova, D., Minarik, P., Fazekas, T., & Sremanakova, J. (2026). Pharmacist-Led Interventions for Colorectal Cancer Prevention: A Systematic Review. Current Oncology, 33(3), 177. https://doi.org/10.3390/curroncol33030177

