Breast CarcinomaNCT02355262
CATCH-UP Intervention in Increasing Cancer Screening and Prevention Care in Uninsured Patients at Community Health Centers
An observational study of Breast Carcinoma and Cervical Carcinoma, run by OHSU Knight Cancer Institute at 1 site in United States.
Trial summary
This randomized research trial studies the Community-based Health Information Technology (HIT) Tools for Cancer Screening and Health Insurance Promotion (CATCH-UP) intervention in increasing cancer screening and prevention care in uninsured patients at community health centers. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Breast Carcinoma, Cervical Carcinoma, Colorectal Carcinoma
- What is being tested?
- Informational Intervention
- How many people
- 45 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Jul 2014to 30 Jun 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Patients with at least one encounter at a CHC in the OCHIN network since January 1, 2012
Who may be able to join
- Established patients at CHC sites
- Low-income
- Ethnically diverse populations with lower rates of cancer screening compared to national rates
- Uninsured patients
- Patients 18 to 64 years of age
- Clinics must be primary care sites, with greater than 1,000 adult patients in the past year, be located in a state that expanded Medicaid, and have implemented the OCHIN EHR prior to January 1, 2012
Who cannot join
None listed.
Trial locations and contacts
1 site in 1 country.
United States1 site
OHSU Knight Cancer Institute
Portland, Oregon, 97239
About this study
Official title: Community-Based HIT Tools for Cancer Screening and Health Insurance Promotion (CATCH-UP)
This randomized research trial studies the Community-based Health Information Technology (HIT) Tools for Cancer Screening and Health Insurance Promotion (CATCH-UP) intervention in increasing cancer screening and prevention care in uninsured patients at community health centers. The CATCH-UP intervention may contribute to increased rates of insurance coverage, leading to improved cancer screening and prevention rates in community health care settings, and general recommended preventive care.
Read the detailed description
PRIMARY OBJECTIVES:
- Evaluate the effect of the CATCH-UP intervention on up-to-date status of cancer screening and preventive care received by patients.
II. Evaluate the effect of the CATCH-UP intervention on patients? insurance coverage rates.
III. Evaluate the intervention implementation process, patient and community health center (CHC) staff acceptance and use of the CATCH-UP tools, and the patient-, provider-, and system-level factors associated with successful implementation and sustainability of the tools, using mixed methods.
OUTLINE: CHC clinics are randomized to 1 of 2 groups. We compare between groups and with a matched-comparison group.
GROUP I (INTERVENTION ARM 1): Participants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication at baseline.
GROUP II (INTERVENTION ARM 2): Participants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication. Participants also receive additional implementation support such as trainings, assistance with workflows, and practice facilitation.
Matched-comparison group: A clinic-level matched comparison group will be derived from the OCHIN membership by using propensity score matching techniques. Comparison group clinics will not participate actively in any study activities but, as part of their member business associate agreement with OCHIN, have already agreed to provide data through OCHIN for pre- and post-implementation analysis in the study.
- Conditions
- Breast Carcinoma, Cervical Carcinoma, Colorectal Carcinoma, Health Status Unknown, Human Papillomavirus Infection, Malignant Neoplasm
- Being tested
- Informational Intervention
- Keywords
- Insurance Coverage, Insurance Continuity
- Medical subject headings
- Breast Neoplasms, Uterine Cervical Neoplasms, Colorectal Neoplasms, Papillomavirus Infections, Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Informational InterventionOther
Receive CATCH-UP intervention
| Study group | Role | What they receive |
|---|---|---|
| Arm I (Independent Tool Implementation) | Participants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication at baseline. Receives: Other: Informational Intervention | |
| Arm II (Tool Implementation with Interactive Facilitation) | Participants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication. Participants also receive additional implementation support such as trainings, assistance with workflows, and practice facilitation. Receives: Other: Informational Intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Changes in the proportion of clinic patients who receive age- and gender-appropriate recommended cancer screening and preventive care (clinic-level)
Pre- and post-implementation differences in proportion of patients with insurance continuity will be calculated between implementation and control community health centers (?difference-in-differences? analysis). Generalized linear/non-linear mixed models will be used, which offer flexible regression modeling to accommodate different sources of correlations (serial and intra-clinic), categorical and continuous covariates, and fixed and time-dependent covariates.
Measured: Baseline to up to 6 years
Changes in the proportion of clinic patients with insurance continuity
Pre- and post-implementation differences in proportion of patients with insurance continuity will be calculated between implementation and control community health centers (?difference-in-differences? analysis). Generalized linear/non-linear mixed models will be used, which offer flexible regression modeling to accommodate different sources of correlations (serial and intra-clinic), categorical and continuous covariates, and fixed and time-dependent covariates. Serial and intra-clinic correlations will be modeled as random effects.
Measured: Baseline to up to 6 years
Total number of months uninsured (total gap months)
The Community-based Health Information Technology (HIT) Tools for Cancer Screening and Health Insurance Promotion tool?s impact on total number of months uninsured (total gap months) will be evaluated. The distribution of total gap months will be examined before selecting a specific model to use for the analysis. Analytic models will be refined through an iterative process, guided by the hypotheses and preliminary analyses.
Measured: Up to 6 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Feb 2015 (estimated)
- Study start1 Jul 2014
- Primary completion30 Jun 2020
- Study completion30 Jun 2020
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Breast CarcinomaStudies of the same condition, open and under way.
- More trials run by OHSU Knight Cancer InstituteThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Ecologic or community
- Time perspective
- Prospective
- Enrolment
- 45 participants (actual)
Sponsor and investigators
- Lead sponsor
- OHSU Knight Cancer Institute
- Sponsor type
- University, hospital or other
- Collaborators
- Kaiser Permanente, National Cancer Institute (NCI), Oregon Community Health Information Network, Oregon Health and Science University
- Responsible party
- Principal investigator, Jennifer Devoe, MD, OHSU Knight Cancer Institute
- Investigators
- Jennifer DeVoe, Principal investigator, OHSU Knight Cancer Institute
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02355262
- Sponsor's protocol ID
- IRB00009862
- Other IDs
- NCI-2014-02326, CR00024554, 5219, MR00042926, MR00044877, IRB00009862, R01CA181452
- Status last verified
- Aug 2020
- First submitted
- 23 Jan 2015
- Last updated
- 19 Aug 2020
- Results posted
- No
Publications
Hoopes MJ, Angier H, Gold R, Bailey SR, Huguet N, Marino M, DeVoe JE. Utilization of Community Health Centers in Medicaid Expansion and Nonexpansion States, 2013-2014. J Ambul Care Manage. 2016 Oct-Dec;39(4):290-8. doi: 10.1097/JAC.0000000000000123.
PubMed 26765808Hatch B, Tillotson C, Angier H, Marino M, Hoopes M, Huguet N, DeVoe J. Using the electronic health record for assessment of health insurance in community health centers. J Am Med Inform Assoc. 2016 Sep;23(5):984-90. doi: 10.1093/jamia/ocv179. Epub 2016 Jan 23.
PubMed 26911812DeVoe JE, Tillotson CJ, Marino M, O'Malley J, Angier H, Wallace LS, Gold R. Trends in Type of Health Insurance Coverage for US Children and Their Parents, 1998-2011. Acad Pediatr. 2016 Mar;16(2):192-9. doi: 10.1016/j.acap.2015.06.009. Epub 2015 Aug 18.
PubMed 26297668DeVoe JE, Huguet N, Likumahuwa-Ackman S, Angier H, Nelson C, Marino M, Cohen D, Sumic A, Hoopes M, Harding RL, Dearing M, Gold R. Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial. Implement Sci. 2015 Aug 25;10:123. doi: 10.1186/s13012-015-0311-4.
PubMed 26652866Angier H, Hoopes M, Gold R, Bailey SR, Cottrell EK, Heintzman J, Marino M, DeVoe JE. An early look at rates of uninsured safety net clinic visits after the Affordable Care Act. Ann Fam Med. 2015 Jan-Feb;13(1):10-6. doi: 10.1370/afm.1741.
PubMed 25583886Heintzman J, Marino M, Hoopes M, Bailey SR, Gold R, O'Malley J, Angier H, Nelson C, Cottrell E, Devoe J. Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data? J Am Med Inform Assoc. 2015 Jul;22(4):909-13. doi: 10.1093/jamia/ocv033. Epub 2015 Apr 17.
PubMed 25888586DeVoe JE, Angier H, Burdick T, Gold R. Health information technology: an untapped resource to help keep patients insured. Ann Fam Med. 2014 Nov-Dec;12(6):568-72. doi: 10.1370/afm.1721.
PubMed 25384821Gold R, Burdick T, Angier H, Wallace L, Nelson C, Likumahuwa-Ackman S, Sumic A, DeVoe JE. Improve Synergy Between Health Information Exchange and Electronic Health Records to Increase Rates of Continuously Insured Patients. EGEMS (Wash DC). 2015 Aug 6;3(1):1158. doi: 10.13063/2327-9214.1158. eCollection 2015.
PubMed 26355818Huguet N, Hoopes MJ, Angier H, Marino M, Holderness H, DeVoe JE. Medicaid Expansion Produces Long-Term Impact on Insurance Coverage Rates in Community Health Centers. J Prim Care Community Health. 2017 Oct;8(4):206-212. doi: 10.1177/2150131917709403. Epub 2017 May 17.
PubMed 28513249Huguet N, Valenzuela S, Marino M, Moreno L, Hatch B, Baron A, Cohen DJ, DeVoe JE. Effectiveness of an insurance enrollment support tool on insurance rates and cancer prevention in community health centers: a quasi-experimental study. BMC Health Serv Res. 2021 Oct 30;21(1):1186. doi: 10.1186/s12913-021-07195-5.
PubMed 34717616Hatch B, Tillotson C, Huguet N, Marino M, Baron A, Nelson J, Sumic A, Cohen D, E DeVoe J. Implementation and adoption of a health insurance support tool in the electronic health record: a mixed methods analysis within a randomized trial. BMC Health Serv Res. 2020 May 15;20(1):428. doi: 10.1186/s12913-020-05317-z.
PubMed 32414376
Study at a glance
From the registry record, last updated by the sponsor on 19 Aug 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Community-Based HIT Tools for Cancer Screening and Health Insurance Promotion (CATCH-UP)
- ClinicalTrials.gov ID
- NCT02355262
- Acronym / sponsor ID
- IRB00009862
- Conditions
- Breast Carcinoma, Cervical Carcinoma, Colorectal Carcinoma, Health Status Unknown, Human Papillomavirus Infection, Malignant Neoplasm
- Keywords
- Insurance Coverage, Insurance Continuity
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 45 participants (actual)
- Lead sponsor
- OHSU Knight Cancer InstituteUniversity, hospital or other
- Collaborators
- Kaiser Permanente, National Cancer Institute (NCI), Oregon Community Health Information Network, Oregon Health and Science University
- Study start
- 1 Jul 2014 (actual)
- Primary completion
- 30 Jun 2020 (actual)
- Study completion
- 30 Jun 2020 (actual)
- First posted
- 4 Feb 2015 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This randomized research trial studies the Community-based Health Information Technology (HIT) Tools for Cancer Screening and Health Insurance Promotion (CATCH-UP) intervention in increasing cancer screening and prevention care in uninsured patients at community health centers. The CATCH-UP intervention may contribute to increased rates of insurance coverage, leading to improved cancer screening and prevention rates in community health care settings, and general recommended preventive care.
Detailed description
PRIMARY OBJECTIVES:
- Evaluate the effect of the CATCH-UP intervention on up-to-date status of cancer screening and preventive care received by patients.
II. Evaluate the effect of the CATCH-UP intervention on patients? insurance coverage rates.
III. Evaluate the intervention implementation process, patient and community health center (CHC) staff acceptance and use of the CATCH-UP tools, and the patient-, provider-, and system-level factors associated with successful implementation and sustainability of the tools, using mixed methods.
OUTLINE: CHC clinics are randomized to 1 of 2 groups. We compare between groups and with a matched-comparison group.
GROUP I (INTERVENTION ARM 1): Participants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication at baseline.
GROUP II (INTERVENTION ARM 2): Participants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication. Participants also receive additional implementation support such as trainings, assistance with workflows, and practice facilitation.
Matched-comparison group: A clinic-level matched comparison group will be derived from the OCHIN membership by using propensity score matching techniques. Comparison group clinics will not participate actively in any study activities but, as part of their member business associate agreement with OCHIN, have already agreed to provide data through OCHIN for pre- and post-implementation analysis in the study.
Study design
- Observational model
- Ecologic or community
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Arm I (Independent Tool Implementation) | – | Other: Informational InterventionParticipants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication at baseline. |
| Arm II (Tool Implementation with Interactive Facilitation) | – | Other: Informational InterventionParticipants receive CATCH-UP tools which include a panel management/data aggregator system that identifies patients who may be eligible for public coverage but are not yet insured, or who are nearing coverage expiration, coupled with automated patient outreach and communication. Participants also receive additional implementation support such as trainings, assistance with workflows, and practice facilitation. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Patients with at least one encounter at a CHC in the OCHIN network since January 1, 2012
Key inclusion criteria (6 listed)
- Established patients at CHC sites
- Low-income
- Ethnically diverse populations with lower rates of cancer screening compared to national rates
- Uninsured patients
- Patients 18 to 64 years of age
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Informational InterventionReceive CATCH-UP intervention | Other | Arm I (Independent Tool Implementation), Arm II (Tool Implementation with Interactive Facilitation) |
Primary outcome
Changes in the proportion of clinic patients who receive age- and gender-appropriate recommended cancer screening and preventive care (clinic-level)
Time frame: Baseline to up to 6 years
Pre- and post-implementation differences in proportion of patients with insurance continuity will be calculated between implementation and control community health centers (?difference-in-differences? analysis). Generalized linear/non-linear mixed models will be used, which offer flexible regression modeling to accommodate different sources of correlations (serial and intra-clinic), categorical and continuous covariates, and fixed and time-dependent covariates.
Changes in the proportion of clinic patients with insurance continuity
Time frame: Baseline to up to 6 years
Pre- and post-implementation differences in proportion of patients with insurance continuity will be calculated between implementation and control community health centers (?difference-in-differences? analysis). Generalized linear/non-linear mixed models will be used, which offer flexible regression modeling to accommodate different sources of correlations (serial and intra-clinic), categorical and continuous covariates, and fixed and time-dependent covariates. Serial and intra-clinic correlations will be modeled as random effects.
Total number of months uninsured (total gap months)
Time frame: Up to 6 years
The Community-based Health Information Technology (HIT) Tools for Cancer Screening and Health Insurance Promotion tool?s impact on total number of months uninsured (total gap months) will be evaluated. The distribution of total gap months will be examined before selecting a specific model to use for the analysis. Analytic models will be refined through an iterative process, guided by the hypotheses and preliminary analyses.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Aug 2020.
- Background: PubMed 26765808Hoopes MJ, Angier H, Gold R, Bailey SR, Huguet N, Marino M, DeVoe JE. Utilization of Community Health Centers in Medicaid Expansion and Nonexpansion States, 2013-2014. J Ambul Care Manage. 2016 Oct-Dec;39(4):290-8. doi: 10.1097/JAC.0000000000000123.
- Background: PubMed 26911812Hatch B, Tillotson C, Angier H, Marino M, Hoopes M, Huguet N, DeVoe J. Using the electronic health record for assessment of health insurance in community health centers. J Am Med Inform Assoc. 2016 Sep;23(5):984-90. doi: 10.1093/jamia/ocv179. Epub 2016 Jan 23.
- Background: PubMed 26297668DeVoe JE, Tillotson CJ, Marino M, O'Malley J, Angier H, Wallace LS, Gold R. Trends in Type of Health Insurance Coverage for US Children and Their Parents, 1998-2011. Acad Pediatr. 2016 Mar;16(2):192-9. doi: 10.1016/j.acap.2015.06.009. Epub 2015 Aug 18.
- Background: PubMed 26652866DeVoe JE, Huguet N, Likumahuwa-Ackman S, Angier H, Nelson C, Marino M, Cohen D, Sumic A, Hoopes M, Harding RL, Dearing M, Gold R. Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial. Implement Sci. 2015 Aug 25;10:123. doi: 10.1186/s13012-015-0311-4.
- Background: PubMed 25583886Angier H, Hoopes M, Gold R, Bailey SR, Cottrell EK, Heintzman J, Marino M, DeVoe JE. An early look at rates of uninsured safety net clinic visits after the Affordable Care Act. Ann Fam Med. 2015 Jan-Feb;13(1):10-6. doi: 10.1370/afm.1741.
- Background: PubMed 25888586Heintzman J, Marino M, Hoopes M, Bailey SR, Gold R, O'Malley J, Angier H, Nelson C, Cottrell E, Devoe J. Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data? J Am Med Inform Assoc. 2015 Jul;22(4):909-13. doi: 10.1093/jamia/ocv033. Epub 2015 Apr 17.
- Background: PubMed 25384821DeVoe JE, Angier H, Burdick T, Gold R. Health information technology: an untapped resource to help keep patients insured. Ann Fam Med. 2014 Nov-Dec;12(6):568-72. doi: 10.1370/afm.1721.
- Background: PubMed 26355818Gold R, Burdick T, Angier H, Wallace L, Nelson C, Likumahuwa-Ackman S, Sumic A, DeVoe JE. Improve Synergy Between Health Information Exchange and Electronic Health Records to Increase Rates of Continuously Insured Patients. EGEMS (Wash DC). 2015 Aug 6;3(1):1158. doi: 10.13063/2327-9214.1158. eCollection 2015.
- Background: PubMed 28513249Huguet N, Hoopes MJ, Angier H, Marino M, Holderness H, DeVoe JE. Medicaid Expansion Produces Long-Term Impact on Insurance Coverage Rates in Community Health Centers. J Prim Care Community Health. 2017 Oct;8(4):206-212. doi: 10.1177/2150131917709403. Epub 2017 May 17.
- Derived from this study: PubMed 34717616Huguet N, Valenzuela S, Marino M, Moreno L, Hatch B, Baron A, Cohen DJ, DeVoe JE. Effectiveness of an insurance enrollment support tool on insurance rates and cancer prevention in community health centers: a quasi-experimental study. BMC Health Serv Res. 2021 Oct 30;21(1):1186. doi: 10.1186/s12913-021-07195-5.
- Derived from this study: PubMed 32414376Hatch B, Tillotson C, Huguet N, Marino M, Baron A, Nelson J, Sumic A, Cohen D, E DeVoe J. Implementation and adoption of a health insurance support tool in the electronic health record: a mixed methods analysis within a randomized trial. BMC Health Serv Res. 2020 May 15;20(1):428. doi: 10.1186/s12913-020-05317-z.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jennifer DeVoe principal investigator
OHSU Knight Cancer Institute
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Breast Carcinoma and Cervical Carcinoma, run by OHSU Knight Cancer Institute at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 19 Aug 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Changes in the proportion of clinic patients who receive age- and gender-appropriate recommended cancer screening and preventive care (clinic-level) (time frame: Baseline to up to 6 years). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02355262, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Aug 2020.