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Helen Meissner

Publications and source records attributed to Helen Meissner.

8 recordsLinked to original sources
PubMed2006

Cancer knowledge and disparities in the information age.

Increasing information flow often leads to widening gaps in knowledge between different socioeconomic status (SES) groups as higher SES groups are more likely to acquire this new information at a faster rate than lower SES groups. These gaps in knowledge may offer a partial but robust explanation for differential risk behaviors and health disparities between different social groups. Drawing on the Health Information National Trends Survey (HINTS 2003), a national survey of communication behaviors conducted by the National Cancer Institute (NCI), we examine the relationship between publicity and knowledge gaps on two cancer topics that received different levels of publicity: knowledge about tobacco and sun exposure and their respective links to cancer. Analyses of the HINTS 2003 data suggest that differential knowledge levels of causes of cancer between SES groups are one potential explanation of cancer disparities that have been extensively reported in the literature. It is evident that high income and high education are associated with awareness about causes of major cancers such as lung and skin, and may allow people to protect themselves and minimize their risks. The data also show that heavier media attention could attenuate the knowledge gaps though moderate publicity or lack of news coverage may actually widen them. Last, the findings in this article suggest that it is necessary to take into account the SES variation within different racial and ethnic groups rather than mask them by treating the groups as one.

Adult↗
PubMed2006

Correlates of repeat and recent mammography for women ages 45 to 75 in the 2002 to 2003 Health Information National Trends Survey (HINTS 2003).

BACKGROUND: Most national-level mammography data are for ever-had and most-recent screening. There are few national-level data on rates of repeat, on-schedule mammography, and on the prevalence and correlates of repeat mammography. It is also important to investigate the similarity of correlates for repeat and recent mammography. METHODS: Analyses were from data for women ages 45 to 75 in the 2002 to 2003 Health Information and National Trends Survey (HINTS 2003; N = 1,581). The two dependent variables were self-report of repeat mammography (two exams on schedule, based on an every-other-year interval) and recent mammography only (one mammogram within the past 2 years). RESULTS: The prevalence of recent mammography was 81.6% (95% confidence interval, 79.1-84.1) and for repeat mammography was 72.2% (95% confidence interval, 69.0-75.4). An access to care variable combining insurance coverage and regular source of care was the strongest sociodemographic correlate of both mammography indicators. Most other sociodemographic variables were not associated with mammography status. Five psychosocial/behavioral variables were associated with both mammography indicators (smoking status, attention to health information, knowledge of screening interval, worry about breast cancer, and recent mood status). Correlates were very similar for repeat and recent mammography. CONCLUSIONS: Although access to care had the strongest association with mammography, psychosocial and behavioral variables did better as a group than the sociodemographic variables. A standard set of such variables should be considered for all national surveys.

Aged↗
PubMed2004

Prevalence and correlates of repeat mammography among women aged 55-79 in the Year 2000 National Health Interview Survey.

BACKGROUND: Utilization of mammography has increased steadily since the early 1990s. It is now important to expand the attention given to obtaining repeat examination. This study examines the prevalence and cross-sectional correlates of repeat mammography, among women aged 55-79, using a 12-month (N = 3,502) and a 24-month interval (N = 3,491). METHODS: Data were from the Year 2000 Cancer Control Module of the National Health Interview Survey (NHIS-CCM). The NHIS-CCM asked about the most recent mammogram and the total number of mammograms over the prior 6 years. An algorithm estimated repeat mammography for the two intervals. RESULTS: Prevalence estimates were 49% for the 12-month interval, and 64.1% for the 24-month interval. Correlates of lower likelihood of repeat mammography for both indicators were: no regular source of care, having public or no health insurance, less than a college education, household income less than $45K, not being married, current or never smoking, age 65-79, and lower absolute risk of breast cancer (Gail Model score). CONCLUSIONS: A substantial percentage of women do not receive repeat mammography. The correlates of repeat mammography were similar to those often found for ever-had and recent mammography. There is probably some imprecision in the prevalence estimates due to the nature of NHIS-CCM questions. Issues pertinent to the definition of repeat examination are addressed.

Aged↗
PubMed2003

Cancer screening estimates for U.S. metropolitan areas.

OBJECTIVES: To provide estimates of breast, cervical, and colorectal cancer screening for metropolitan areas in the United States. METHODS: Behavioral Risk Factor Surveillance System (BRFSS) data from 1997 to 1999 were reweighted and analyzed for 69 U.S. metropolitan areas for the receipt of a Papanicolaou (Pap) test (ages > or =18 years); mammography (ages > or =40 years); fecal occult blood testing and sigmoidoscopy (ages > or =50 years). Stratified analyses by demographics were performed for 25 metropolitan areas with populations of > or =1.5 million. RESULTS: Metropolitan estimates ranged from 64.6% to 82.0% for mammography and from 77.2% to 91.7% for Pap tests. There was much greater variability in estimates for colorectal cancer screening, with a 3.6-fold difference in the range of estimates for fecal occult blood testing (9.9% to 35.2%) and a 2.5-fold difference for sigmoidoscopy (17.3% to 43.3%). In the 25 largest areas, prevalence of cancer screening was generally lower for persons with a high school education or less and for those without health insurance. Compared with women aged 50 to 64 years, mammography estimates were lower for women aged 40 to 49 years in 13 of the 25 metropolitan areas. Pap testing was less common among women aged > or =65 years, and colorectal cancer screening was less common for persons aged 50 to 64 years. CONCLUSIONS: Estimates of cancer screening varied substantially across metropolitan areas. Increased efforts to improve cancer screening are needed in many urban areas, especially for colorectal cancer screening. The BRFSS is a useful, inexpensive, and timely resource for providing metropolitan-area cancer screening estimates and may be used in the future to guide local or county-level screening efforts.

Adult↗
PubMed2002

Predicting patterns of mammography use: a geographic perspective on national needs for intervention research.

OBJECTIVE: To introduce a methodology for planning preventive health service research that takes into account geographic context. DATA SOURCES: National Health Interview Survey (NHIS) self-reports of mammography within the past two years, 1987, and 1993-94. Area Resource File (ARF), 1990. Database of mammography intervention research studies conducted from 1984 to 1994. DESIGN: Bayesian hierarchical modeling describes mammography as a function of county-level socioeconomic data and explicitly estimates the geographic variation unexplained by the county-level data. This model produces county use estimates (both NHIS-sampled and unsampled), which are aggregated for entire states. The locations of intervention research studies are examined in light of the statewide mammography utilization estimates. DATA EXTRACTION: Individual level NHIS data were merged with county-level data from the ARF. PRINCIPAL FINDINGS: State maps reveal the estimated distribution of mammography utilization and intervention research. Eighteen states with low mammography use reported no intervention research activity. County-level occupation and education were important predictors for younger women in 1993-94. In 1987, they were not predictive for any demographic group. CONCLUSIONS: Opportunities exist to improve the planning of future intervention research by considering geographic context. Modeling results suggest that the choice of predictors be tailored to both the population and the time period under study when planning interventions.

Black or African American↗
PubMedDate not supplied

Clinical breast examination: practical recommendations for optimizing performance and reporting.

Clinical breast examination (CBE) seeks to detect breast abnormalities or evaluate patient reports of symptoms to find palpable breast cancers at an earlier stage of progression. Treatment options for earlier-stage cancers are generally more numerous, include less toxic alternatives, and are usually more effective than treatments for later-stage cancers. For average-risk women aged 40 and younger, earlier detection of palpable tumors identified by CBE can lead to earlier therapy. After age 40, when mammography is recommended, CBE is regarded as an adjunct to mammography. Recent debate, however, has questioned the contributions of CBE to the detection of breast cancer in asymptomatic women and particularly to improved survival and reduced mortality rates. Clinicians remain widely divided about the level of evidence supporting CBE and their confidence in the examination. Yet, CBE is practiced extensively in the United States and continues to be recommended by many leading health organizations. It is in this context that this report provides a brief review of evidence for CBE's role in the earlier detection of breast cancer, highlights current practice issues, and presents recommendations that, when implemented, could contribute to greater standardization of the practice and reporting of CBE. These recommendations may also lead to improved evidence of the nature and extent of CBE's contribution to the earlier detection of breast cancer.

Breast Diseases↗