Breast Carcinoma, Cervical Carcinoma, Colorectal Carcinoma, Health Status Unknown, Human Papillomavirus Infection, Malignant Neoplasm
Conditions
Keywords
Insurance Coverage, Insurance Continuity
Brief 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. 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: I. 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.
Interventions
OTHERInformational Intervention
Receive CATCH-UP intervention
Sponsors
Kaiser Permanente
National Cancer Institute (NCI)
Oregon Community Health Information Network
Oregon Health and Science University
OHSU Knight Cancer Institute
Study design
Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* 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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Changes in the proportion of clinic patients who receive age- and gender-appropriate recommended cancer screening and preventive care (clinic-level) | 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 | 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) | 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. |
Countries
United States
Outcome results
None listed