Precision Patient Navigation to Improve Rates of Follow-up Colonoscopy, An Individual Randomized Effectiveness Trial Article Swipe
Gloria D. Coronado
,
Andreea M. Rawlings
,
Amanda F. Petrik
,
Matthew Slaughter
,
Eric S. Johnson
,
Peggy A. Hannon
,
Allison Cole
,
Thuy Vu
,
Rajasekhara R. Mummadi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1158/1055-9965.epi-20-1793
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1158/1055-9965.epi-20-1793
Background: Colorectal cancer screening by annual fecal immunochemical test (FIT) with follow-up on abnormal results is a cost-effective strategy to reduce colorectal cancer incidence and mortality. Unfortunately, many patients with abnormal results do not complete a follow-up colonoscopy. We tested whether navigation targeted to patients who are unlikely to complete the procedure may improve adherence and long-term outcomes. Methods: Study participants were patients at a large, integrated health system (Kaiser Permanente Northwest) who were ages 50 to 75 and were due for a follow-up colonoscopy after a recent abnormal FIT result. Probability of adherence to follow-up was estimated at baseline using a predictive risk model. Patients whose probability was 70% or lower were randomized to receive patient navigation or usual care, with randomization stratified by probability category (<50%, 50% < 60%, 60% < 65%, 65% d 70%). We compared colonoscopy completion within 6 months between the navigation and usual care groups using Cox proportional hazards regression. Results: Participants (n = 415; 200 assigned to patient navigation, 215 to usual care) had a mean age of 62 years, 54% were female, and 87% were non-Hispanic white. By 6 months, 76% of the patient navigation group had completed a colonoscopy, compared with 65% of the usual care group (HR = 1.35; 95% confidence interval, 1.07–1.72; log-rank P value = 0.027). Conclusions: In this randomized trial, patient navigation led to improvements in follow-up colonoscopy adherence. Impact: More research is needed to assess the value of precision-directed navigation programs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1158/1055-9965.epi-20-1793
- OA Status
- hybrid
- Cited By
- 23
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3203054423
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3203054423Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1158/1055-9965.epi-20-1793Digital Object Identifier
- Title
-
Precision Patient Navigation to Improve Rates of Follow-up Colonoscopy, An Individual Randomized Effectiveness TrialWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-28Full publication date if available
- Authors
-
Gloria D. Coronado, Andreea M. Rawlings, Amanda F. Petrik, Matthew Slaughter, Eric S. Johnson, Peggy A. Hannon, Allison Cole, Thuy Vu, Rajasekhara R. MummadiList of authors in order
- Landing page
-
https://doi.org/10.1158/1055-9965.epi-20-1793Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1158/1055-9965.epi-20-1793Direct OA link when available
- Concepts
-
Colonoscopy, Medicine, Randomized controlled trial, Randomization, Colorectal cancer, Confidence interval, Proportional hazards model, Internal medicine, CancerTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 6, 2023: 5, 2022: 4Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.colorectal | 22 |
| abstract_inverted_index.completion | 141 |
| abstract_inverted_index.confidence | 211 |
| abstract_inverted_index.integrated | 67 |
| abstract_inverted_index.mortality. | 26 |
| abstract_inverted_index.navigation | 42, 118, 147, 193, 225, 244 |
| abstract_inverted_index.predictive | 103 |
| abstract_inverted_index.randomized | 114, 222 |
| abstract_inverted_index.stratified | 124 |
| abstract_inverted_index.Background: | 1 |
| abstract_inverted_index.Probability | 92 |
| abstract_inverted_index.colonoscopy | 85, 140, 231 |
| abstract_inverted_index.navigation, | 166 |
| abstract_inverted_index.probability | 108, 126 |
| abstract_inverted_index.regression. | 156 |
| abstract_inverted_index.1.07–1.72; | 213 |
| abstract_inverted_index.Conclusions: | 219 |
| abstract_inverted_index.Participants | 158 |
| abstract_inverted_index.colonoscopy, | 198 |
| abstract_inverted_index.colonoscopy. | 38 |
| abstract_inverted_index.improvements | 228 |
| abstract_inverted_index.non-Hispanic | 184 |
| abstract_inverted_index.participants | 61 |
| abstract_inverted_index.proportional | 154 |
| abstract_inverted_index.(&lt;50%, | 128 |
| abstract_inverted_index.randomization | 123 |
| abstract_inverted_index.Unfortunately, | 27 |
| abstract_inverted_index.cost-effective | 18 |
| abstract_inverted_index.immunochemical | 8 |
| abstract_inverted_index.precision-directed | 243 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5084956002 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I4210114677 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.84524801 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |