Study Results
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View full resultsBasic Information
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COMPLETED
NA
35953 participants
INTERVENTIONAL
2018-08-01
2021-02-28
Brief Summary
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This project will engage a rural population with substantial healthcare disparities and gaps in the receipt of primary and secondary cancer prevention. Results will advance dissemination and implementation research methods that can reduce health disparities and improve healthcare for millions in medically under-served areas.
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Detailed Description
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With 10 clinics, 95 PCPs, and 51,000 potentially eligible patients per study arm, this study will formally test the hypothesis that Groups 1 and 2 are superior to Group 3 over an 12-month follow-up period with respect to: (a) significantly higher rates of appropriate screening for breast, cervix, and colorectal cancer, as defined by the United States Preventive Services Task Force; and (b) significantly higher rates of human papillomavirus (HPV) vaccination in males and females aged 11-26 years. Secondary analysis will evaluate the impact of the intervention on lung cancer screening. The investigators further posit that Groups 1 and 2 will have higher short-term health care costs but better long-term cost-effectiveness than Group 3. The Consolidated Framework for Implementation Research (CFIR) and Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) conceptual frameworks will be used to guide implementation planning, organization, conduct, and impact evaluation of the intervention in a large rural healthcare system.
This project will engage a rural population with substantial healthcare disparities and gaps in the receipt of primary and secondary cancer prevention. Results will advance dissemination and implementation research methods that can reduce health disparities and improve healthcare for millions in medically under-served areas.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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CP-CDS
The CP-CDS group will receive a point of care clinical decision support tool called cancer prevention wizard (CP Wizard) that is integrated into the EHR. The CP Wizard provides evidenced- based recommendations to the provider and patient related to overdue cancer prevention screening services.
CP-CDS
The cancer prevention wizard is a point of care clinical decision support system designed to identify patients that are due for preventative cancer services and provides evidenced-based recommendations to the patient and provider.
CP-CDS + SDMT
The CP-CDS + SDMT group will receive a point of care clinical decision support tool called cancer prevention wizard (CP Wizard) that is integrated into the EHR. The CP Wizard provides evidenced- based recommendations to the provider and patient related to overdue cancer prevention screening services. The CP-CDS + SDMT arm also provides shared decision making tools to patient and provider at the time of the visit.
CP-CDS
The cancer prevention wizard is a point of care clinical decision support system designed to identify patients that are due for preventative cancer services and provides evidenced-based recommendations to the patient and provider.
Usual Care
The usual care group will have no access to the CP-CDS, or the CP-CDS + SDMT.
No interventions assigned to this group
Interventions
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CP-CDS
The cancer prevention wizard is a point of care clinical decision support system designed to identify patients that are due for preventative cancer services and provides evidenced-based recommendations to the patient and provider.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* pcp practice at randomized clinic
Exclusion Criteria
* hospice care or cancer chemotherapy
* Alzheimer's disease codes
* major cardiovascular event in 12 months prior to index date
18 Years
80 Years
ALL
Yes
Sponsors
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HealthPartners Institute
OTHER
Responsible Party
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Principal Investigators
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Thomas E Elliott, MD
Role: PRINCIPAL_INVESTIGATOR
HealthPartners Institute
Locations
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Essentia Health
Duluth, Minnesota, United States
Countries
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References
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Elliott TE, O'Connor PJ, Asche SE, Saman DM, Dehmer SP, Ekstrom HL, Allen CI, Bianco JA, Chrenka EA, Freitag LA, Harry ML, Truitt AR, Sperl-Hillen JM. Design and rationale of an intervention to improve cancer prevention using clinical decision support and shared decision making: A clinic-randomized trial. Contemp Clin Trials. 2021 Mar;102:106271. doi: 10.1016/j.cct.2021.106271. Epub 2021 Jan 24.
Harry ML, Chrenka EA, Freitag LA, Saman DM, Allen CI, Asche SE, Truitt AR, Ekstrom HL, O'Connor PJ, Sperl-Hillen JAM, Ziegenfuss JY, Elliott TE. Primary care clinicians' opinions before and after implementation of cancer screening and prevention clinical decision support in a clinic cluster-randomized control trial: a survey research study. BMC Health Serv Res. 2022 Jan 6;22(1):38. doi: 10.1186/s12913-021-07421-0.
Saman DM, Harry ML, Freitag LA, Allen CI, O'Connor PJ, Sperl-Hillen JM, Bianco JA, Truitt AR, Ekstrom HL, Elliott TE. Patient Perceptions of Using Clinical Decision Support for Cancer Screening and Prevention: "I wouldn't have thought about getting screened without it.". J Patient Cent Res Rev. 2021 Oct 18;8(4):297-306. doi: 10.17294/2330-0698.1863. eCollection 2021 Fall.
Saman DM, Chrenka EA, Harry ML, Allen CI, Freitag LA, Asche SE, Truitt AR, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Ziegenfuss JY, Elliott TE. The impact of personalized clinical decision support on primary care patients' views of cancer prevention and screening: a cross-sectional survey. BMC Health Serv Res. 2021 Jun 21;21(1):592. doi: 10.1186/s12913-021-06551-9.
Harry ML, Saman DM, Truitt AR, Allen CI, Walton KM, O'Connor PJ, Ekstrom HL, Sperl-Hillen JM, Bianco JA, Elliott TE. Pre-implementation adaptation of primary care cancer prevention clinical decision support in a predominantly rural healthcare system. BMC Med Inform Decis Mak. 2020 Jun 23;20(1):117. doi: 10.1186/s12911-020-01136-8.
Saman DM, Walton KM, Harry ML, Asche SE, Truitt AR, Henzler-Buckingham HA, Allen CI, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Ziegenfuss JY, Bianco JA, Elliott TE. Understanding primary care providers' perceptions of cancer prevention and screening in a predominantly rural healthcare system in the upper Midwest. BMC Health Serv Res. 2019 Dec 30;19(1):1019. doi: 10.1186/s12913-019-4872-9.
Harry ML, Truitt AR, Saman DM, Henzler-Buckingham HA, Allen CI, Walton KM, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Bianco JA, Elliott TE. Barriers and facilitators to implementing cancer prevention clinical decision support in primary care: a qualitative study. BMC Health Serv Res. 2019 Jul 31;19(1):534. doi: 10.1186/s12913-019-4326-4.
Harry ML, Asche SE, Freitag LA, Sperl-Hillen JM, Saman DM, Ekstrom HL, Chrenka EA, Truitt AR, Allen CI, O'Connor PJ, Dehmer SP, Bianco JA, Elliott TE. Human Papillomavirus vaccination clinical decision support for young adults in an upper midwestern healthcare system: a clinic cluster-randomized control trial. Hum Vaccin Immunother. 2022 Dec 31;18(1):2040933. doi: 10.1080/21645515.2022.2040933. Epub 2022 Mar 18.
Elliott TE, Asche SE, O'Connor PJ, Dehmer SP, Ekstrom HL, Truitt AR, Chrenka EA, Harry ML, Saman DM, Allen CI, Bianco JA, Freitag LA, Sperl-Hillen JM. Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial. Med Decis Making. 2022 Aug;42(6):808-821. doi: 10.1177/0272989X221082083. Epub 2022 Feb 25.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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15-010
Identifier Type: -
Identifier Source: org_study_id
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