Impact of a Generalizable Reminder System on Colorectal Cancer Screening in Diverse Primary Care Practices
A Report From the Prompting and Reminding at Encounters for Prevention Project
Bibliographic Data
| ID | 9098947 |
|---|---|
| Authors | Donald E Nease (0000-0001-8323-3720, University of Michigan, corresponding author), Mack T Ruffin (0000-0001-8336-478X, University of Michigan, corresponding author), Michael S Klinkman (0000-0003-4182-1676, University of Michigan, corresponding author), Masahito Jimbo (0000-0002-2596-1065, Day Family Medicine, corresponding author), Thomas M Braun (Cancer Research And Biostatistics), Jennifer M Underwood (University of Michigan) |
| Year | 2008 |
| Volume | 46 |
| Issue | 9 |
| Pages | S68-S73 |
| Publication date | 2008-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e31817c60d7 |
| PMID | 18725836 |
| OpenAlex | W2022294606 |
| Language | EN |
| Citations received | 4 |
| References cited | 17 |
BACKGROUND: Computerized reminder systems (CRS) show promise for increasing preventive services such as colorectal cancer (CRC) screening. However, prior research has not evaluated a generalizable CRS across diverse, community primary care practices. We evaluated whether a generalizable CRS, ClinfoTracker, could improve screening rates for CRC in diverse primary care practices. METHODS: The study was a prospective trial to evaluate ClinfoTracker using historical control data in 12 Great Lakes Research In Practice Network community-based, primary care practices distributed from Southeast to Upper Peninsula Michigan. Our outcome measures were pre- and post-study practice-level CRC screening rates among patients seen during the 9-month study period. Ability to maintain the CRS was measured by days of reminder printing. Field notes were used to examine each practice's cohesion and technology capabilities. RESULTS: All but one practice increased their CRC screening rates, ranging from 3.3% to 16.8% improvement. t tests adjusted for within practice correlation showed improvement in screening rates across all 12 practices, from 41.7% to 50.9%, P = 0.002. Technology capabilities impacted printing days (74% for high technology vs. 45% for low technology practices, P = 0.01), and cohesion demonstrated an impact trend for screening (15.3% rate change for high cohesion vs. 7.9% for low cohesion practices). CONCLUSIONS: Implementing a generalizable CRS in diverse primary care practices yielded significant improvements in CRC screening rates. Technology capabilities are important in maintaining the system, but practice cohesion may have a greater influence on screening rates. This work has important implications for practices implementing reminder systems
Best practice · Cancer · Cohesion (chemistry) · Colorectal cancer · Family medicine · Political science · Primary care · Colorectal Cancer Screening and Detection · Electronic Health Records Systems · Global Cancer Incidence and Screening · Medicine · Nursing
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,22 |
| Citation span | 2008 - 2025 (18) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |