Potentially modifiable influences on cancer family history-taking among primary care physicians in Vermont and Massachusetts

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6067-6067
Author(s):  
B. S. Flynn ◽  
M. E. Wood ◽  
G. S. Dana ◽  
T. Ashikaga
Keyword(s):  
Primary Care ◽  
Family History ◽  
High Risk ◽  
Primary Care Physicians ◽  
Primary Care Providers ◽  
Outcome Variable ◽  
History Taking ◽  
Cancer Family ◽  
Cancer Family History

6067 Background. Taking a complete family history is key in identifying individuals at increased risk for cancer. The objectives of this study were to test hypothesized relationships between potentially modifiable factors and family history-taking by primary care physicians. Methods. Primary care physicians (family medicine, internal medicine, gynecology) were surveyed by mail in Vermont, urban and suburban Boston (n=880) using comprehensive rosters from employers or state-wide networks, with a response rate of 70%. Measures of family history-taking quality and factors that may influence this behavior were developed systematically and validated using factor analysis methods. The primary outcome variable was either extent of history-taking or age of cancer diagnoses. These dependent variables were regressed on scales measuring physician perceptions of the advantages and disadvantages of history-taking, confidence in taking cancer family histories, supportive resources, and knowledge of management for patients at high risk for breast and colon cancer; relevant factors controlled in these multiple regressions included type and location of practice. Results. Most physician perception factors hypothesized to influence quality of history taking were found to be significantly associated in the analysis. The strongest predictor of extent of family history-taking was perceived disadvantages of taking a cancer family history (p<.001). Reports of supportive resources ((p<.01); perceived advantages (p=.02); and confidence (p=.02) were also associated with this behavior. Gathering age of cancer diagnoses was significantly associated with perceived advantages, supportive resources and confidence (all p<.0001). Knowledge of high risk management was not associated with quality of family history-taking in either analysis. Conclusions. Potentially modifiable resource and perception factors were significantly associated with quality of family history in a large and diverse sample of primary care physicians. Improving family history quality for identification of high risk individuals among primary care providers will need to address multiple factors. No significant financial relationships to disclose.

scholarly journals Associations between cancer family history and esophageal cancer and precancerous lesions in high-risk areas of China

2022 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jiachen Zhou ◽  
Kexin Sun ◽  
Shaoming Wang ◽  
Ru Chen ◽  
Minjuan Li ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Family History ◽  
High Risk ◽  
Precancerous Lesions ◽  
Cancer Family ◽  
Cancer Family History ◽  
Risk Areas

Compliance, capacity, and quality in colonoscopy screening for CRC: A novel solution.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 357-357 ◽  
Author(s):  
S. C. Lloyd
Keyword(s):  
Primary Care ◽  
Training Program ◽  
Primary Care Physicians ◽  
African American Men ◽  
Primary Care Providers ◽  
Care Providers ◽  
Adenoma Detection ◽  
Before And After ◽  
Outstanding Quality

357 Background: CRC is predominately preventable with high quality colonoscopy screenings. Unfortunately, less than half of Americans are “up-to-date.” When referred by primary care providers, less than half complete the process. We proposed to include the primary care provider (PCP) in a novel training program to extend skills from sigmoidoscopy to full colonoscopy in a “mentored and monitored” model. We know that quality in colonoscopy can vary widely (ten fold within a single 12-man group). The protective benefits of colonoscopy reflect the thoroughness of the removal of polyps. Unfortunately, the ACS projections for 2010 predict an increase of 4,400 deaths from CRC over 2009, an 8% rise! Furthermore the death rate for African American men has RISEN 28% since 1960. We are loosing a battle for which we posses the tools to win. To achieve victory we must successfully address all three factors: compliance, capacity and quality. Methods: Thirty primary care physicians in two states (SC, FL) were recruited. We measured compliance rates within the practice before and after enrollment. We further evaluated quality of the colonoscopies as reflected in completion, yield and complications. Results: Compliance more than doubled (38% to 84%). As a compliance enhancement tool, the results were outstanding. The evaluation of quality then became of paramount importance. The gross completion rate was 98.3%, the adenoma detection rate (reflecting polyp yield) was 38%. In over 20,000 cases there were only 5 perforations, substantially below published rates. The quality was consistently at the level of experienced conscientious gastroenterologists. The details of the training program and the use of the “two-man” colonoscopy technique have been reviewed elsewhere (MEDICAL CARE, Aug 2010). Conclusions: If replicated nationally, this model has the potential for saving 25,000 lives annually. The participation of the patient's PCP is a powerful influence for improved compliance. The availability of an “expert” for mentoring and monitoring results in outstanding and consistent quality. The model has the potential to dramatically enhance compliance simultaneously increasing capacity while maintaining outstanding quality. No significant financial relationships to disclose.

Quality of cancer family history and referral for genetic counseling and testing among oncology practices: A pilot test of quality measures as part of the ASCO Quality Oncology Practice Initiative (QOPI).

2012 ◽  
Vol 30 (18_suppl) ◽  
pp. CRA1505-CRA1505 ◽  
Author(s):  
Marie Wood ◽  
Pamela Kadlubek ◽  
Karen H. Lu ◽  
Dana Wollins ◽  
Jeffrey N. Weitzel ◽  
...  
Keyword(s):  
Genetic Counseling ◽  
Genetic Testing ◽  
Family History ◽  
Pilot Testing ◽  
Cancer Family ◽  
Referral Rates ◽  
Cancer Family History ◽  
Counseling And Testing ◽  
Oncology Practice

CRA1505 Background: The cancer family history (CFH) is an important tool for identification of individuals for genetic counseling/testing (GC/GT). Prior studies demonstrate a low rate of family history documentation and low referral rates for genetic counseling and genetic testing. Methods: In 2011ASCO began pilot testing new measures in QOPI to evaluate the practice of family history taking and referral for genetic counseling/testing in patients with either breast cancer (BC) or colorectal cancer (CRC). The measures assessed the presence or absence of CFH in 1st/2nd degree relatives, age at cancer diagnosis, referral for GC/GT and outcomes of referral. Results: Between September and October 2011 272 practices pilot tested these measures and reported on 10,466 patients (BC 6569, CRC 3897). 77.4% of all charts reviewed documented presence or absence of CFH in 1st degree relatives (BC 81.2% (CI 80-82%), CRC 77.4% (CI 76-79%), p= <0.001) and 61.5% of charts documented presence or absence of CFH in 2nd degree relatives (BC 68.9% (CI 68-70%), CRC 57.3% (CI 56-59%) p=<0.001). Age at diagnosis was documented for all relatives with cancer in 30.7% of charts (BC 45.2% (CI 44-47%), CRC 35.4% (CI 34-37%) p=<0.001). Patients were referred for GC/GT in 22.1% of all charts reviewed (BC 29.1% (CI 28-30%), CRC 19.6% (CI, 18-21%) p=<0.001). Of patients with hereditary risk (defined by selected risk guidelines) 52.2% of BC and 26.4% CRC were referred for GC/GT. When genetic testing was performed by the practice consent was documented 77.7% of the time and discussion of results was documented 78.8% of the time. Conclusions: Appropriate referral for GC/GT requires a complete and accurate CFH. In this pilot testing of QOPI measures we identified a higher quality of CFH information than expected though with room for improvement. Significant differences were seen between BC and CRC charts with greater accuracy of CFH and higher referral rates among BC patients. To obtain improvement in the identification and management of patients at high risk, significant improvements are needed. Education is part of the answer.

Educating primary care physicians in the management of Alzheimer's disease: using practice guidelines to set quality benchmarks

2009 ◽  
Vol 21 (S1) ◽  
pp. S44-S52 ◽  
Author(s):  
Debra L. Cherry ◽  
Carol Hahn ◽  
Barbara G. Vickrey
Keyword(s):  
Alzheimer’S Disease ◽  
Primary Care ◽  
Alzheimer's Disease ◽  
Practice Guidelines ◽  
Primary Care Physicians ◽  
Care Management ◽  
Primary Care Providers ◽  
Dementia Care ◽  
Care Providers

ABSTRACTThis paper presents a strategy for training primary care physicians in the identification, diagnosis and management of Alzheimer's disease and related disorders. The strategy uses evidence-based practice guidelines to establish quality benchmarks and then provides training and other interventions to improve the quality of care received by these patients. The three projects described in this paper assumed that training of primary care physicians alone would not be sufficient to achieve the quality benchmarks derived from guidelines. The projects used creative training strategies supplemented by provider “tool kits”, provider checklists, educational detailing, and endorsement from organizational leadership to reinforce what the primary care providers learned in educational sessions. Each project also implemented a system of dementia care management to “wrap around” traditional primary care to ensure that quality benchmarks would be achieved. Outcomes of two completed studies support the premise that it is possible to improve quality of dementia care through physician education that occurs in association with a coordinated system of dementia care management and in collaboration with community agencies to access guideline-recommended social services.

scholarly journals Development of a prediction model to aid primary care physicians in early identification of women at high risk of developing endometriosis: cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e030346
Author(s):  
Nina Julie Verket ◽  
Ragnhild Sørum Falk ◽  
Erik Qvigstad ◽  
Tom Gunnar Tanbo ◽  
Leiv Sandvik
Keyword(s):  
Primary Care ◽  
Family History ◽  
High Risk ◽  
Prediction Model ◽  
Early Identification ◽  
Primary Care Physicians ◽  
Lasso Regression ◽  
Cross Sectional ◽  
Predictive Values ◽  
History Of

ObjectivesTo identify predictors of disease among a few factors commonly associated with endometriosis and if successful, to combine these to develop a prediction model to aid primary care physicians in early identification of women at high risk of developing endometriosis.DesignCross-sectional anonymous postal questionnaire study.SettingWomen aged 18–45 years recruited from the Norwegian Endometriosis Association and a random sample of women residing in Oslo, Norway.Participants157 women with and 156 women without endometriosis.Main outcome measuresLogistic and least absolute shrinkage and selection operator (LASSO) regression analyses were performed with endometriosis as dependent variable. Predictors were identified and combined to develop a prediction model. The predictive ability of the model was evaluated by calculating the area under the receiver operating characteristic curve (AUC) and positive predictive values (PPVs) and negative predictive values (NPVs). To take into account the likelihood of skewed representativeness of the patient sample towards high symptom burden, we considered the hypothetical prevalences of endometriosis in the general population 0.1%, 0.5%, 1% and 2%.ResultsThe predictors absenteeism from school due to dysmenorrhea and family history of endometriosis demonstrated the strongest association with disease. The model based on logistic regression (AUC 0.83) included these two predictors only, while the model based on LASSO regression (AUC 0.85) included two more: severe dysmenorrhea in adolescence and use of painkillers due to dysmenorrhea in adolescence. For the prevalences 0.1%, 0.5%, 1% and 2%, both models ascertained endometriosis with PPV equal to 2.0%, 9.4%, 17.2% and 29.6%, respectively. NPV was at least 98% for all values considered.ConclusionsExternal validation is needed before model implementation. Meanwhile, endometriosis should be considered a differential diagnosis in women with frequent absenteeism from school or work due to painful menstruations and positive family history of endometriosis.

scholarly journals 3142 U.S. Counties with High Opioid-Overdose Mortality and Low Capacity to Deliver Medications for Opioid Use Disorder: an Observational Study

2019 ◽  
Vol 3 (s1) ◽  
pp. 129-129
Author(s):  
Rebecca Haffajee ◽  
Lewei Allison Lin ◽  
Amy S.B. Bohnert ◽  
Jason E. Goldstick
Keyword(s):  
Primary Care ◽  
High Risk ◽  
Extended Release ◽  
Primary Care Providers ◽  
Outcome Variable ◽  
Opioid Overdose ◽  
Care Providers ◽  
Overdose Death ◽  
South Central ◽  
Rural Counties

OBJECTIVES/SPECIFIC AIMS: To identify characteristics of counties with persistently high opioid-overdose rates and low capacity to deliver medications for OUD (MOUD). METHODS/STUDY POPULATION: Setting: County-level opioid-overdose death data, 2013-2016, and 2017 publicly-available treatment provider data for MOUD: buprenorphine-waivered providers, opioid treatment programs (OTPs), and extended-release naltrexone providers. Participants: Populations in 3,142 U.S. counties. 24,851 buprenorphine-waivered providers; 1,517 OTPs; and 5,222 extended-release naltrexone providers. Measurements: The outcome variable, “opioid high-risk county”, was a binary indicator of high (above average) opioid-overdose rates with low (below median) MOUD availability rates. We used spatial logistic regression models to determine correlates of being a high-risk county. RESULTS/ANTICIPATED RESULTS: 46.4% of all counties, and 71.2% of rural counties, lacked a publicly-available MOUD provider in 2017. In adjusted models, rural counties had 53% greater odds of being high-risk than urban counties. Counties in the East South Central, West South Central, and South Atlantic divisions had over twice the odds of being high-risk than counties in the West North Central division. Primary care provider density, greater traversability, and a higher proportion of the population under age 25 were all protective against a county being opioid high-risk. DISCUSSION/SIGNIFICANCE OF IMPACT: Counties with both low MOUD provider availability and high opioid-overdose death rates are significantly more likely to be rural, have less primary care providers per capita, and in the southern regions. Strategies to increase MOUD must account for these factors.

scholarly journals The current state of cancer family history collection tools in primary care: a systematic review

2009 ◽  
Vol 11 (7) ◽  
pp. 495-506 ◽  
Author(s):  
Nadeem Qureshi ◽  
June C Carroll ◽  
Brenda Wilson ◽  
Pasqualina Santaguida ◽  
Judith Allanson ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Family History ◽  
Cancer Family ◽  
Cancer Family History ◽  
Current State
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