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1.
J Health Care Poor Underserved ; 26(2): 377-90, 2015 May.
Article in English | MEDLINE | ID: mdl-25913336

ABSTRACT

BACKGROUND: This study was conducted to validate use of electronic health record (EHR) data for measuring colorectal cancer (CRC) screening rates at community health centers (CHCs). METHODS: Electronic health records were queried to assess screening via colonoscopy, flexible sigmoidoscopy, or fecal occult blood testing (FOBT) in 2011. RESULTS: Multiple iterations were required to maximize query accuracy. Manual chart reviews, stratified by screening modality, confirmed query results for 112 of 113 (99.1%) reviewed colonoscopies, 110 of 110 (100%) reviewed FOBTs, and 111 of 120 (92.5%) unscreened patients. At participating CHCs, CRC screening rates ranged from 9.7% to 67.2% (median, 30.6%). Adherence to annual FOBT ranged from 3.3% to 59.0% (median, 18.6%). Most screening was done by colonoscopy. CONCLUSIONS: Colorectal cancer screening varies substantially across CHCs. Electronic health record data can validly measure CRC screening, but repeated assessments of programming accuracy are required. Community health centers may need support to measure quality using EHR data and increase screening.


Subject(s)
Colorectal Neoplasms/diagnosis , Community Health Centers/statistics & numerical data , Early Detection of Cancer/statistics & numerical data , Electronic Health Records/statistics & numerical data , Adolescent , Adult , Aged , Colonoscopy/statistics & numerical data , Community Health Centers/organization & administration , Cross-Sectional Studies , Humans , Middle Aged , Sigmoidoscopy/statistics & numerical data , United States , Young Adult
2.
Prev Med Rep ; 2: 886-91, 2015.
Article in English | MEDLINE | ID: mdl-26844165

ABSTRACT

OBJECTIVE: Colorectal cancer (CRC) screening rates remain lower among some racial/ethnic groups and individuals with low income or educational attainment who are often cared for within community health centers (CHCs). We surveyed clinicians in a network of CHCs to understand their attitudes, practice patterns, and perceived barriers to CRC screening. METHODS: A clinician survey was conducted in 2013 within the Community Health Applied Research Network (CHARN). RESULTS: 180 clinicians completed the survey (47.9% response rate). Participants had an average of 11.5 (SD: 9.8) years in practice, 62% were female, and 57% were physicians. The majority of respondents somewhat agreed (30.2%) or strongly agreed (57.5%) that colonoscopy was the best screening test. However, only 15.8% of respondents strongly agreed and 32.2% somewhat agreed that colonoscopy was readily available for their patients. Fecal immunochemical testing (FIT), a type of fecal occult blood test (FOBT), was viewed less favorably; 24.6% rated FIT as very effective. CONCLUSIONS: Although there are no data showing that screening colonoscopy is superior to FIT, CHC clinicians believe colonoscopy is the best CRC screening test for their patients, despite the high prevalence of financial barriers to colonoscopy. These attitudes could be due to lack of knowledge about the evidence supporting long-term benefits of fecal occult blood testing (FOBT), lack of awareness about the improved test characteristics of FIT compared to older guaiac-based FOBT, or the absence of systems to ensure adherence to regular FOBT screening. Interventions to improve CRC screening at CHCs must address clinicians' negative attitudes towards FIT.

3.
Ann Fam Med ; 5(3): 224-32, 2007.
Article in English | MEDLINE | ID: mdl-17548850

ABSTRACT

PURPOSE: Adolescent mothers are at risk for rapidly becoming pregnant again and for depression, school dropout, and poor parenting. We evaluated the impact of a community-based home-visiting program on these outcomes and on linking the adolescents with primary care. METHODS: Pregnant adolescents aged 12 to 18 years, predominantly with low incomes and of African American race, were recruited from urban prenatal care sites and randomly assigned to home visiting or usual care. Trained home visitors, recruited from local communities, were paired with each adolescent and provided services through the child's second birthday. They delivered a parenting curriculum, encouraged contraceptive use, connected the teen with primary care, and promoted school continuation. Research assistants collected data via structured interviews at baseline and at 1 and 2 years of follow-up using validated instruments to measure parenting (Adult-Adolescent Parenting Inventory) and depression (Center for Epidemiologic Studies Depression). School status and repeat pregnancy were self-reported. We measured program impact over time with intention-to-treat analyses using generalized estimating equations (GEE). RESULTS: Of 122 eligible pregnant adolescents, 84 consented, completed baseline assessments, and were randomized to a home-visited group (n = 44) or a control group (n = 40). Eighty-three percent completed year 1 or year 2 follow-up assessments, or both. With GEE, controlling for baseline differences, follow-up parenting scores for home-visited teens were 5.5 points higher than those for control teens (95% confidence interval, 0.5-10.4 points; P = .03) and their adjusted odds of school continuation were 3.5 times greater (95% confidence interval, 1.1-11.8; P <.05). The program did not have any impact on repeat pregnancy, depression, or linkage with primary care. CONCLUSIONS: This community-based home-visiting program improved adolescent mothers' parenting attitudes and school continuation, but it did not reduce their odds of repeat pregnancy or depression or achieve coordination with primary care. Coordinated care may require explicit mechanisms to promote communication between the community program and primary care.


Subject(s)
Adolescent Health Services , Community Health Services , House Calls , Parenting , Pregnancy in Adolescence/psychology , Primary Health Care , Adolescent , Black or African American/psychology , Attitude , Child , Depressive Disorder/prevention & control , Female , Follow-Up Studies , Humans , Pregnancy , Pregnancy in Adolescence/ethnology , Program Evaluation , Socioeconomic Factors
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