CATCH-UP Intervention in Increasing Cancer Screening and Prevention Care in Uninsured Patients at Community Health Centers
17 de agosto de 2020 atualizado por: Jennifer Devoe, MD, OHSU Knight Cancer Institute
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.
Visão geral do estudo
Status
Concluído
Condições
Intervenção / Tratamento
Descrição detalhada
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.
Tipo de estudo
Observacional
Inscrição (Real)
45
Contactos e Locais
Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.
Locais de estudo
-
-
Oregon
-
Portland, Oregon, Estados Unidos, 97239
- OHSU Knight Cancer Institute
-
-
Critérios de participação
Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.
Critérios de elegibilidade
Idades elegíveis para estudo
18 anos e mais velhos (Adulto, Adulto mais velho)
Aceita Voluntários Saudáveis
Sim
Gêneros Elegíveis para o Estudo
Tudo
Método de amostragem
Amostra Não Probabilística
População do estudo
Patients with at least one encounter at a CHC in the OCHIN network since January 1, 2012
Descrição
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
Plano de estudo
Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.
Como o estudo é projetado?
Detalhes do projeto
Coortes e Intervenções
Grupo / Coorte |
Intervenção / Tratamento |
|---|---|
|
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.
|
Receive CATCH-UP 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.
|
Receive CATCH-UP intervention
|
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Changes in the proportion of clinic patients who receive age- and gender-appropriate recommended cancer screening and preventive care (clinic-level)
Prazo: 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.
|
Baseline to up to 6 years
|
|
Changes in the proportion of clinic patients with insurance continuity
Prazo: 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.
|
Baseline to up to 6 years
|
|
Total number of months uninsured (total gap months)
Prazo: 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.
|
Up to 6 years
|
Colaboradores e Investigadores
É aqui que você encontrará pessoas e organizações envolvidas com este estudo.
Patrocinador
Colaboradores
Investigadores
- Investigador principal: Jennifer DeVoe, OHSU Knight Cancer Institute
Publicações e links úteis
A pessoa responsável por inserir informações sobre o estudo fornece voluntariamente essas publicações. Estes podem ser sobre qualquer coisa relacionada ao estudo.
Publicações Gerais
- 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.
- Hatch 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.
- DeVoe 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.
- DeVoe 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.
- Angier 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.
- Heintzman 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.
- DeVoe 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.
- Gold 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.
- Huguet 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.
- Huguet 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. Erratum In: BMC Health Serv Res. 2022 May 2;22(1):587.
- Hatch 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.
Datas de registro do estudo
Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.
Datas Principais do Estudo
Início do estudo (Real)
1 de julho de 2014
Conclusão Primária (Real)
30 de junho de 2020
Conclusão do estudo (Real)
30 de junho de 2020
Datas de inscrição no estudo
Enviado pela primeira vez
23 de janeiro de 2015
Enviado pela primeira vez que atendeu aos critérios de CQ
3 de fevereiro de 2015
Primeira postagem (Estimativa)
4 de fevereiro de 2015
Atualizações de registro de estudo
Última Atualização Postada (Real)
19 de agosto de 2020
Última atualização enviada que atendeu aos critérios de controle de qualidade
17 de agosto de 2020
Última verificação
1 de agosto de 2020
Mais Informações
Termos relacionados a este estudo
Palavras-chave
Termos MeSH relevantes adicionais
- Doenças do aparelho digestivo
- Doenças de pele
- Doenças Virais
- Infecções
- Neoplasias por Tipo Histológico
- Neoplasias por local
- Neoplasias Glandulares e Epiteliais
- Neoplasias gastrointestinais
- Neoplasias do Aparelho Digestivo
- Doenças Gastrointestinais
- Doenças da mama
- Doenças do cólon
- Doenças Intestinais
- Infecções por vírus de DNA
- Neoplasias Intestinais
- Doenças retais
- Infecções por Vírus Tumorais
- Neoplasias
- Neoplasias da Mama
- Carcinoma
- Neoplasias Colorretais
- Infecções por Papilomavírus
Outros números de identificação do estudo
- IRB00009862 (Outro identificador: OHSU Knight Cancer Institute)
- NCI-2014-02326 (Identificador de registro: CTRP (Clinical Trial Reporting Program))
- CR00024554
- 5219
- MR00042926
- MR00044877
- R01CA181452 (Concessão/Contrato do NIH dos EUA)
Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .
Ensaios clínicos em Informational Intervention
-
University of TurkuDesconhecidoSaudável | Comportamento de saúdeFinlândia
-
Henry Ford Health SystemBlue Cross Blue Shield of Michigan FoundationConcluído
-
Munich Municipal HospitalTechnical University of Munich; University of RegensburgDesconhecidoInfarto CerebralAlemanha
-
Northwestern UniversityEmory UniversityAtivo, não recrutandoAfasia Progressiva Primária | Esgotamento do cuidadorEstados Unidos
-
Rhode Island HospitalEunice Kennedy Shriver National Institute of Child Health and Human Development...ConcluídoCyberbullyingEstados Unidos
-
University of VirginiaConcluídoLesão da medula espinal | Úlceras de pressãoEstados Unidos
-
Charles G. ProberStanford University; Heidelberg University; University of Stellenbosch; University...ConcluídoAleitamento Materno Exclusivo | Práticas de alimentação infantilÁfrica do Sul
-
Brigham and Women's HospitalUniversity of Colorado, DenverConcluídoDiabetes Mellitus GestacionalEstados Unidos
-
University of Alabama, TuscaloosaNational Institute of Nursing Research (NINR)ConcluídoDor | Cuidado paliativo | Distúrbios da Retenção Cognitiva | Outra doença crônicaEstados Unidos
-
VA Office of Research and DevelopmentConcluídoTranstornos de Estresse Pós-TraumáticoEstados Unidos