The use of census data for determining race and education as SES indicators: a validation study

The rapid shift to virtual mental health care: Examining psychotherapy disruption by rurality status

BACKGROUND

Given the low usage of virtual health care prior to the COVID-19 pandemic, it was unclear whether those living in rural locations would benefit from increased availability of virtual mental health care. The rapid transition to virtual services during the COVID-19 pandemic allowed for a unique opportunity to examine how the transition to virtual mental health care impacted psychotherapy disruption (i.e., 45+ days between appointments) among individuals living in rural locations compared with those living in nonrural locations.

METHODS

Electronic health record and insurance claims data were collected from three health care systems in the United States including rurality status and psychotherapy disruption. Psychotherapy disruption was measured before and after the COVID-19 pandemic onset.

RESULTS

Both the nonrural and rural cohorts had significant decreases in the rates of psychotherapy disruption from pre- to post-COVID-19 onset (32.5-16.0% and 44.7-24.8%, respectively, p < 0.001). The nonrural cohort had a greater reduction of in-person visits compared with the rural cohort (96.6-45.0 vs. 98.0-66.2%, respectively, p < 0.001). Among the rural cohort, those who were younger and those with lower education had greater reductions in psychotherapy disruption rates from pre- to post-COVID-19 onset. Several mental health disorders were associated with experiencing psychotherapy disruption.

CONCLUSIONS

Though the rapid transition to virtual mental health care decreased the rate of psychotherapy disruption for those living in rural locations, the reduction was less compared with nonrural locations. Other strategies are needed to improve psychotherapy disruption, especially among rural locations (i.e., telephone visits).

Methods for retrospectively improving race/ethnicity data quality: a scoping review

Improving race and ethnicity (hereafter, race/ethnicity) data quality is imperative to ensure underserved populations are represented in data sets used to identify health disparities and inform health care policy. We performed a scoping review of methods that retrospectively improve race/ethnicity classification in secondary data sets. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, searches were conducted in the MEDLINE, Embase, and Web of Science Core Collection databases in July 2022. A total of 2 441 abstracts were dually screened, 453 full-text articles were reviewed, and 120 articles were included. Study characteristics were extracted and described in a narrative analysis. Six main method types for improving race/ethnicity data were identified: expert review (n = 9; 8%), name lists (n = 27, 23%), name algorithms (n = 55, 46%), machine learning (n = 14, 12%), data linkage (n = 9, 8%), and other (n = 6, 5%). The main racial/ethnic groups targeted for classification were Asian (n = 56, 47%) and White (n = 51, 43%). Some form of validation evaluation was included in 86 articles (72%). We discuss the strengths and limitations of different method types and potential harms of identified methods. Innovative methods are needed to better identify racial/ethnic subgroups and further validation studies. Accurately collecting and reporting disaggregated data by race/ethnicity are critical to address the systematic missingness of relevant demographic data that can erroneously guide policymaking and hinder the effectiveness of health care practices and intervention.

The Health Plan Environment In California Contributed To Differential Use Of Telehealth During The COVID-19 Pandemic

The COVID-19 pandemic has led to substantial increases in the use of telehealth and virtual care in the US. Differential patient and provider access to technology and resources has raised concerns that existing health disparities may be extenuated by shifts to virtual care. We used data from one of the largest providers of employer-sponsored insurance, the California Public Employees' Retirement System, to examine potential disparities in the use of telehealth. We found that lower-income, non-White, and non-English-speaking people were more likely to use telehealth during the period we studied. These differences were driven by enrollment in a clinically and financially integrated care delivery system, Kaiser Permanente. Kaiser's use of telehealth was higher before and during the pandemic than that of other delivery models. Access to integrated care may be more important to the adoption of health technology than patient-level differences.

Understanding the social determinants of health and genetic factors contributing to the differences observed in COVID-19 incidence and mortality between underrepresented and other communities

COVID-19 has been a devastating disease, especially in underserved communities. Data has shown that Indigenous peoples, Latinx communities, and Black Americans have a 3.3, 2.4, and 2 times higher mortality rate than White communities, respectively, due to COVID-19. Therefore, in this paper, we sought to understand how Social Determinants of Health and genetic factors influence COVID-19 incidence, mortality rates, and complications by assessing existing literature. Studies showed that identifying with a racial/ethnic minority, being homeless, housing insecurity, lower household median income, and living in an area with decreased air quality were associated with higher incidence and mortality from COVID-19. Analyses of these studies also showed a lack of resources to collect patients' social determinants of health, revealing an urgent need to create databases with information on local support programs and operationalize the referral and tracking outcomes to address the health inequities for Black, Indigenous, and Latinx communities.

Geographic Barriers Affect Follow-Up Care in Head and Neck Cancer

OBJECTIVES/HYPOTHESIS

Follow-up care in head and neck cancers (HNC) is critical in managing patient health. However, social determinants of health (SDOH) can create difficulties in maintaining follow-up care. The study goal is to explore how SDOH impacts maintenance of HNC follow-up care appointments.

METHODS

A systematic retrospective chart review of 877 HNC patients diagnosed in the past 10 years a safety-net tertiary care hospital with systems to help reduce care disparities. Cohort groups were identified and compared against protocols for follow-up. Data were analyzed using analysis of variance, chi-square tests, Fisher's exact tests, two-sample t-tests, and simple linear regression.

RESULTS

The average length of follow-up time in months and average total number of follow-ups over 5 years were 32.96 (34.60) and 9.24 (7.87), respectively. There was no significant difference in follow-up care between United States (US) versus non-US born and English versus non-English speaking patients. Race/ethnicity, county median household income, insurance status, and county educational attainment were not associated with differences in follow-up. However, living a greater distance from the hospital was associated with lower follow-up length and less frequency in follow-up (P < .0001).

CONCLUSION

While income, primary language, country of birth, race/ethnicity, insurance status, and markers of educational attainment do not appear to impact HNC follow-up at our safety-net, tertiary care institution, and distance from hospital remains an important contributor to disparities in care. This study shows that many barriers to care can be addressed in a model that addresses SDOH, but there are barriers that still require additional systems and resources. Laryngoscope, 2021.

Health Risks and Chronic Health Conditions among Arab American and White Adults in Northern California

Objectives

To characterize the prevalence of chronic cardiovascular conditions and risk factors among Arab American adults stratified by sex and compare these with non-Hispanic Whites.

Design

Cross-sectional study using electronic health record data from visits between January 2015 and December 2016. Age-adjusted prevalence estimates were calculated for men and women and compared using generalized linear models.

Setting

Kaiser Permanente health plan in Northern California.

Participants

Non-Hispanic White (N=969,566) and Arab American (N=18,072) adult members.

Main Outcome Measures

Sex-stratified prevalence and prevalence ratios of diabetes, pre-diabetes, hypertension, and hyperlipidemia diagnosed by December 2016 and of obesity, ever smoking, and current smoking status.

Results

Arab American men had a significantly higher prevalence of ever smoking (41.8 vs 40.8%), diabetes (17.3 vs 12.5%), and hyperlipidemia (40.8 vs 34.7%) than White men, but a significantly lower prevalence of obesity (34.4 vs 37.8%) and hypertension (30.5 vs 33.3%). Arab American women had a significantly higher prevalence of diabetes (11.1 vs 8.7%) and hyperlipidemia (31.5 vs 28.3%) than White women but significantly lower prevalence of obesity (31.0 vs 34.2%), ever smoking (24.8 vs 34.5%), and hypertension (25.8 vs 28.4%).

Conclusions

Hospital and health systems should intentionally collect data on Middle Eastern and North African ethnicity in electronic health records to identify and reduce the disparities this minority group faces.

Maternal cytomegalovirus immune status and hearing loss outcomes in congenital cytomegalovirus-infected offspring

Objectives

The purpose of this study is to determine the relationship between maternal primary and recurrent CMV infection during pregnancy, symptoms at birth in the newborn, and long term hearing loss through18 years of age.

Patients and methods

237 mother-infant pairs in the Houston, Texas area identified through maternal CMV IgG and IgM antibody serologic screening and newborn screening using urine CMV culture to identify congenital CMV infection were enrolled in the Houston Congenital CMV Longitudinal Study. Mothers were categorized as having primary or recurrent or unknown maternal CMV infections, and newborns were categorized at birth as having symptomatic or asymptomatic congenital CMV infection, or as uninfected controls. All three newborn groups were followed longitudinally with serial hearing evaluations up to 18 years of age. The relationship between type of maternal CMV infection, newborn classification, and the occurrence of hearing loss over time was determined through Kaplan-Meier survival analysis, life table analysis, and a simulated ascertainment of maternal infection type for the unknown categories.

Results

Of 77 newborns with symptomatic congenital CMV infection, 12 (16%) of mothers had a primary CMV infection during pregnancy; 4 (5%) had a non-primary infection, and the type of infection in 48 (79%) could not be determined and were classified as unknown type of maternal infection. Fifty Seven (74%) of the 77 symptomatic children had hearing loss by 18 years of age, including 9 of the 12 (75%) who were born to mothers with primary infection and 48 (79%) of the 61 with unknown type of maternal infection. Of the 109 newborns with asymptomatic congenital CMV infection, 51 (47%) were born to mothers with a primary CMV infection during pregnancy, 18 (17%) to mothers with a recurrent infection; and 40 (37%) had unknown type of infection. Of these 109 asymptomatic cases, 22 (20%) developed hearing loss, including 14 out of 51 (28%) of those born to mothers with primary infection, two out of the 18 (11%) born to mothers with recurrent infection, and 6 out of the 40 (15%) to mothers of unknown infection type. Of the 51 uninfected newborn controls, 10 (20%) of mothers had a primary CMV infection during pregnancy, 5 (10%) had a non-primary infection, 10 (20%) were never infected, and 26 (51%) were assigned unknown type of infection. Three controls (6%) developed hearing loss, with 1 being born to a mother with primary infection and 1 to a mother never infected with CMV.

Conclusions

Both primary and non-primary maternal CMV infections during pregnancy resulted in symptomatic and asymptomatic congenital CMV infection. Symptomatic congenital CMV infection was more likely to occur after primary maternal CMV infection. Sensorineural hearing loss occurred in children born to mothers with both primary and non-primary CMV infections, and in both asymptomatic and symptomatic congenital CMV infection, but was more common after maternal primary infection. Most, but not all, hearing loss in children with cCMV associated hearing loss was first detected within the first year of life.

Examining the role of socioeconomic status and temperament in the hair cortisol levels of infants

Socioeconomic status (SES) appears to be an important contextual factor in children's developmental outcomes, including their responses to stress. However, some children are more susceptible to its effects than others. Hair cortisol is a newer method of assessing the activity of the HPA axis, providing cumulative cortisol levels. The present article examined whether temperament (negative emotionality) moderates the association between an SES index and the hair cortisol concentration (HCC) of infants. Sixty infants from 6 to 15 months of age were recruited, of which 49 had sufficient hair for cortisol analysis. The SES index was calculated from the education levels of the mothers, family income, and a scale measuring the quality of the home environment. Negative emotionality was measured with the three sub-scales of the Infant Behavior Questionnaire (falling reactivity, distress to limitations, and fear). Among infants low in negative emotionality, there was no association between SES and cortisol. In contrast, among those high in negative emotionality, a significant association was obtained. These infants showed lower levels of HCC in lower-SES environments. The findings suggest that there are individual differences in reacting to the environment, and low levels of cortisol (not high) were found in susceptible infants in lower-SES families.

Demographic and Socioeconomic Factors Associated With Metastases at Presentation in HPV-Related Squamous Cell Carcinoma of the Head and Neck: An NCDB Analysis

PURPOSE

Human papillomavirus (HPV)-related squamous cell carcinomas of the head and neck (SCCHNs) tend to have a distinct prognosis. Socioeconomic and demographic factors associated with metastatic disease at presentation and diagnosis in patients with HPV-related SCCHN tumors were examined.

METHODS

The National Cancer Database (NCDB) was queried to assess patients with HPV-related oropharyngeal carcinomas (HPVOPCAs) and HPV-related nonoropharyngeal carcinomas (HPVNOPCAs) diagnosed between 2010 and 2014. Rate of metastases at presentation was analyzed using clinical M stage. Multivariable analysis was performed evaluating race, ethnicity, sex, age, facility location, facility type, insurance status, income, education, and tumor and nodal stage using logistic regression.

RESULTS

A total of 12,857 patients with HPVOPCA and 952 patients with HPVNOPCA were included. Private insurance was carried by 64% and 47% of patients with HPVOPCA and HPVNOPCA, respectively. HPVOPCA was located in the tonsil in 56% of patients. For both HPVOPCA and HPVNOPCA, there was no meaningful difference in distant metastasis at presentation based on facility type or location, sex, race, Hispanic ethnicity, or urban or rural location. For HPVOPCA, there were significantly lower odds of metastasis in privately insured patients compared with uninsured patients (odds ratio [OR], 0.37; 95% CI, 0.21 to 0.64; P < .001) and higher odds of metastasis for patients living in census tracts with the lowest rates of high school graduates compared with the highest rates (OR, 1.81; 95% CI, 1.02 to 3.19; P = .041) and for patients with higher tumor stage (OR, 3.67, 95% CI, 2.25 to 5.99; P < .001) and nodal stage (OR, 3.34; 95% CI, 2.11 to 5.29; P < .001). For HPVNOPCA, neither higher T or N stage nor any demographic features were found to be associated with metastasis at presentation.

CONCLUSION

This large retrospective analysis identifies likely modifiable risk factors for metastatic presentation in HPVOPCA. Educational interventions may result in modifications of these patterns.

Decreased cancer-independent life expectancy in the head and neck cancer population

BACKGROUND

Aside from cancer mortality, patients with head and neck cancer have increased mortality risk. Identifying patients with the greatest loss of cancer-independent life expectancy can guide comprehensive survivorship programs.

METHODS

Age-based survival data from the Surveillance, Epidemiology, and End Result (SEER) database for patients with head and neck cancer were censored for mortality from the index cancer. Life expectancy and years of life lost (YLL) referenced to the general population were calculated. Cox proportional regression models produced hazard ratios (HRs).

RESULTS

Cancer-independent life expectancy for patients with head and neck cancer is 6.5 years shorter than expected. The greatest hazard and impact of other-cause mortality was associated with black race (HR 1.23; YLL 8.55), stage IV (HR 1.60; YLL 7.92), Medicaid (HR 1.55; YLL 12.9), and previous marriage (HR 1.49; YLL 11.4).

CONCLUSION

Patients with head and neck cancer lives are foreshortened independent of their cancer diagnosis necessitating management of noncancer mortality to maximize overall survival.

Competing causes of death in the head and neck cancer population

PURPOSE/OBJECTIVES

The increasing survivorship of head and neck squamous cell carcinoma (HNSCC) comes with a risk of death from other causes, known as competing causes. The demographics of HNSCC are also evolving with increasing incidence of Human Papillomavirus (HPV) associated tumors. This study describes competing causes of death for the HNSCC population compared to the general population and identifies associated risk factors.

METHODS

Adult patients with first mucosal HNSCC (2004-2011) were identified from the Surveillance, Epidemiology and End Result database. Competing causes of death were compared to reference populations using proportion of deaths and Standardized Mortality Ratios (SMR). A multivariable competing risk survival analysis yielded subdistribution hazard ratios (HR) for competing mortality.

RESULTS

Of 64,598 HNSCC patients, 24,602 (38.1%) were deceased including 7142 deaths (29.0%) from competing causes. The most common were cardiovascular disease, lung cancer, and other cancers. All relative mortality rates were elevated, especially liver disease (SMR 38.7; 95% CI: 29.4-49.3), suicide (SMR 37.1; 95% CI: 26.1-48.6), and subsequent primary cancers (SMR 7.5; 95% CI: 6.78-8.32). Demographic and tumor factors independently increased risk of competing mortality, including age (HR per 5years 1.24; 95% CI: 1.22-1.25), sex (male HR 1.23; 95% CI: 1.16-1.32), race (Black HR 1.17; 95% CI: 1.09-1.26), insurance (uninsured HR 1.28; 95% CI: 1.09-1.50), and marital status (single HR 1.29; 95% CI: 1.21-1.37).

CONCLUSION

Nearly one in three HNSCC patients died from competing causes. When developing long term survivorship regimens for HNSCC patients, clinicians should be familiar with this population's specific risks.

Pathways of equality through education: impact of gender (in)equality and maternal education on exclusive breastfeeding among natives and migrants in Belgium

Even though breastfeeding is typically considered the preferred feeding method for infants worldwide, in Belgium, breastfeeding rates remain low across native and migrant groups while the underlying determinants are unclear. Furthermore, research examining contextual effects, especially regarding gender (in)equality and ideology, has not been conducted. We hypothesized that greater gender equality scores in the country of origin will result in higher breastfeeding chances. Because gender equality does not operate only at the contextual level but can be mediated through individual level resources, we hypothesized the following for maternal education: higher maternal education will be an important positive predictor for exclusive breastfeeding chances in Belgium, but its effects will differ over subsequent origin countries. Based on IKAROS data (GeÏntegreerd Kind Activiteiten en Regio Ondersteunings Systeem), we perform multilevel analyses on 27 936 newborns. Feeding method is indicated by exclusive breastfeeding 3 months after childbirth. We measure gender (in)equality using Global Gender Gap scores from the mother's origin country. Maternal education is a metric variable based on International Standard Classification of Education indicators. Results show that 3.6% of the variation in breastfeeding can be explained by differences between the migrant mother's country of origin. However, the effect of gender (in)equality appears to be non-significant. After adding maternal education, the effect for origin countries scoring low on gender equality turns significant. Maternal education on its own shows strong positive association with exclusive breastfeeding and, furthermore, has different effects for different origin countries. Possible explanations are discussed in-depth setting direction for further research regarding the different pathways gender (in)equality and maternal education affect breastfeeding. © 2016 John Wiley & Sons Ltd.

Healthcare satisfaction in older and younger patients with cancer

OBJECTIVE

Although older patients represent the most rapidly growing segment of the oncology population, clinical care is guided by very little data on patient-reported outcomes, particularly satisfaction with healthcare. Using a large cancer center registry, we sought to describe factors associated with satisfaction with care for older and younger oncology patients.

METHODS

Data were collected through the University of North Carolina Health Registry Cancer Survivorship Cohort. Satisfaction was measured with the Patient Satisfaction Questionnaire Short Form. Quality of life (QOL) measures included were the Promis Global short form and the Functional Assessment of Cancer Therapy General (FACT-G).

RESULTS

A total of 2385 patients were included. 460 (20%) were aged 70 and above (older group). Older patients reported significantly higher levels of satisfaction in domains of time spent with doctor (scores 3.84 versus 3.73 p=0.03) and financial aspects (scores 4.03 versus 3.44 p<0.001) compared to younger patients. In multivariable analysis, higher QOL scores and higher self-reported ECOG performance status were associated with higher satisfaction scores. African American race was associated with lower satisfaction scores in all age groups. QOL was more closely correlated with satisfaction in older patients compared to younger patients.

CONCLUSIONS

Older patients with cancer report higher levels of satisfaction with care, in part due to lesser financial burden of care. Better QOL is associated with satisfaction with care in older patients. Use of patient-reported outcomes such as patient satisfaction may help improve patient-centered geriatric oncology care.

Race and sex disparities in long-term survival of oral and oropharyngeal cancer in the United States

PURPOSE

To investigate the effect of race and sex on long-term survival of oral and oropharyngeal cancer.

METHODS

The Surveillance, Epidemiology and End Results database was queried for adult oral and oropharyngeal cancer patients with at least 25-year follow-up. Kaplan-Meier survival curves and cox proportional hazards model were used to identify differences.

RESULTS

Of the 22,162 patients identified, 70.3% were males. Only 8.9% were alive at 25 years post-diagnosis. Black males show the poorest overall and disease-specific survival rates (p < 0.001). After controlling for covariates, Blacks had a 40% higher hazard of mortality compared with Whites (HR 1.40, 95% CI 1.35-1.46), while females had a 9% reduction in mortality risk (HR 0.91, 95% CI 0.88-0.94).

CONCLUSIONS

Overall and disease-specific survival is poor for oral and oropharyngeal cancer patients, and Black men fare worst. This illustrates the need for long-term cancer survival plans incorporating disparity effects in overall cancer outcomes.

Effect of web-based training for Department of Motor Vehicle staff on donor designation rates: results of a statewide randomized trial

On approach to addressing the continual shortage of organ donors is to encourage people to join a state donor registry. Joining the registry saves time and assures family members that organ donation is what their loved one would want. However, fewer than half of adults have taken this step. We tested a brief, web-based training program for department of motor vehicles (DMV) staff that educates them about organ and tissue donation and also models the correct way to interact with customers. The intervention was developed with extensive input and active participation from DMV staff. After a small-scale pilot test, all DMV offices across the state of West Virginia (WV) were randomized to receive the training or serve as a comparison group. The results showed that customers of DMV staff who had received the training were 7.5% more likely to register as organ donors. A conservative estimate is that this generates approximately 800 additional donor designations per month. An important aspect of web-based training is that once it has been deployed, it can continue to be used without incurring additional cost; the state of WV currently requires all new employees to complete the training program. This type of training can be adopted nationwide.

Impact of sociodemographic factors on the radiotherapeutic management of lung cancer: Results of a Quality Research in Radiation Oncology survey

PURPOSE

The objective of this study is to describe the impact of sociodemographic (SOC) factors on the management of lung cancer patients treated at radiation therapy facilities participating in the Quality Research in Radiation Oncology survey.

METHODS AND MATERIALS

A 2-stage stratified random sample of lung cancer patients treated in 2006 to 2007 at 45 facilities yielded 340 stage I-III non-small cell lung cancer (NSCLC) and 144 limited-stage small cell lung cancer (LS-SCLC) cases. Five SOC variables based on data from the 2000 US Census were analyzed for association with the following clinical factors: patients living in urban versus rural settings (U/R); median household income (AHI); % below poverty level (PPV); % unemployed (PUE); and % with college education (PCE).

RESULTS

The 340 NSCLC patients were stage I, 16%; stage II, 11%; stage III, 62%; stage unknown, 11%. Histologic subtypes were adenocarcinoma, 31.8%; squamous cell carcinoma, 35.3%; large cell carcinoma, 3.2%; and NSCLC NOS, 27.7%. The median age was 66 years. Median Karnofsky performance status (KPS) was 80. The 144 LS-SCLC had a median age of 63; 73 were male (50.7%). Median KPS was 80. Stereotactic body radiation therapy (SBRT) and modern imaging utilization was associated with treatment at facilities located in higher SOC regions. SBRT was employed in 46.8% stage I NSCLC patients treated in centers where %PUE was below median versus 14.8% in centers where %PUE was above median (P = .02). Four-dimensional computed tomography was utilized in 14.2% of patients treated in centers located in regions with %PPV below median versus 3.7% in centers located in regions with %PPV above median (P < .01). SCLC patients were more likely to receive all of their planned RT when treated at centers located in regions with lower PPV (95.0% vs 79.1%; P = .04).

CONCLUSIONS

SOC factors may impact use of modern treatment planning and delivery and multidisciplinary management of NSCLC and SCLC. These results may suggest an impact of these SOC factors on access to health care.

Does prevention of risk behaviour in primary care require a gender-specific approach? A cross-sectional study

BACKGROUND

In planning a prevention programme, it is important to know to what extent gender, risk behaviour and GP consultation need to be taken into account.

OBJECTIVE

To determine whether gender plays a role in the relation between risk behaviour and use of GP services.

METHODS

The data used in this study originate from the Second Dutch National Survey of General Practice of 2000-02. We used respondent interviews in three age groups: 555 respondents aged 18-22; 1005 respondents aged 45-49; and 536 respondents aged 70-74. We studied smoking, alcohol abuse, excessive alcohol intake, use of soft drugs, overweight and insufficient physical exercise in relation to use of primary care and gender.

RESULTS

Almost all risk behaviours were more prevalent in men. Of all studied risk behaviours, only smoking was related to yearly GP contact and consultation frequency in relation to gender. Smoking men consulted their GP significantly less frequently than non-smoking men, whereas in women, the opposite was the case.

CONCLUSIONS

Both rates of consultation and yearly contact were significantly lower in smoking men than in smoking women. Preventive actions by means of case-finding, therefore, are less attainable in men than in women. This outcome may create a double setback for Dutch men, as smoking is a major cause of lower life expectancy in men. Recent data show that under-representation of men among consulters in general practice and excess of smoking men still exist in the Netherlands. This confirms the actual relevance of our findings although these were obtained 10years ago.

Predictors of delayed-stage colorectal cancer: are we neglecting critical demographic information?

PURPOSE

We sought to distinguish roles of demographic variables and bowel segments as predictors of delayed versus early stage colorectal cancer in California.

METHODS

Demographic and anatomic variables for 66,806 colorectal cancers were extracted from the California Cancer Registry for 2004-2008 and analyzed using logistic regression as delayed versus early stage.

RESULTS

Odds ratios (OR) for binary stage categories comparing age <40 (OR=2.58; 95% CI=2.26-2.94), 40-49 (1.71; 95%=1.60-1.83) and 75+ (1.05; 1.02-1.09) relative to 50-74 years were computed. Compared with non-Hispanic whites, ORs for stage categories were: 1.05; 0.99-1.13 (non-Hispanic blacks), 1.08; 1.02-1.13 (Hispanics), and 1.05; 1.00-1.10 (Asian/others). Females had higher odds of delayed diagnosis (1.09; 1.06-1.13) than males. Descending ORs were measured for successively lower to highest socioeconomic status (SES) quintiles (OR 4:5=1.08; 1.03-1.14, OR 3:5=1.13; 1.08-1.19, OR 2:5=1.18; 1.12- 1.24, and OR 1:5=1.21; 1.14-1.28).

CONCLUSIONS

Younger and older than age 50-74; females; Hispanic ethnicity; bowel segment contrasts (right/left, proximal/distal, cecum plus appendix/distal), and lower SES were independent predictors of delayed diagnosis. Low SES was the most robust predictor of delayed diagnosis, independent of other covariates. Approximately 77% of delayed diagnoses were in non-Hispanic whites and Asian/others. These findings illustrate the value of a community SES index for targeting egalitarian colorectal cancer screening.

Perinatal winter conditions affect later reproductive performance in Romanian women: intra and intergenerational effects

OBJECTIVES

To compare epidemiological studies on Austrian and New Zealand women that report below average reproductive performance after birth in summer, with a similar study in Romanian women.

METHODS

We examined the association between birth month and offspring count analyzing census data from Romania obtained from IPUMS International (Population and Housing Census of Romania, year 2002), totaling 411,270 women aged older than 45 years. We investigated whether socio-economic status affected this association, and whether intergenerational effects exist for mother's birth month in relation to their daughter's offspring number.

RESULTS

The time series of mean offspring count per birth month has a highly significant period of 12 months. Contrary to our expectations, average offspring count is highest in women born in June and lowest in those born in December, with a strong coincidence between negative peak values of residuals of mean offspring count per birth month and corresponding monthly means of ambient temperature in Romania. The association between winter birth and lower offspring number is significant in poorly educated women only. For mothers born in winter there is also an association with a lower daughters' offspring count.

CONCLUSIONS

Conflicting results exist between Romania and Austria/New Zealand, and may be most easily explained by women's different exposure to winter conditions in these countries.

Why reduced-form regression models of health effects versus exposures should not replace QRA: livestock production and infant mortality as an example

Do pollution emissions from livestock operations increase infant mortality rate (IMR)? A recent regression analysis of changes in IMR against changes in aggregate "animal units" (a weighted sum of cattle, pig, and poultry numbers) over time, for counties throughout the United States, suggested the provocative conclusion that they do: "[A] doubling of production leads to a 7.4% increase in infant mortality." Yet, we find that regressing IMR changes against changes in specific components of "animal units" (cattle, pigs, and broilers) at the state level reveals statistically significant negative associations between changes in livestock production (especially, cattle production) and changes in IMR. We conclude that statistical associations between livestock variables and IMR variables are very sensitive to modeling choices (e.g., selection of explanatory variables, and use of specific animal types vs. aggregate "animal units). Such associations, whether positive or negative, do not warrant causal interpretation. We suggest that standard methods of quantitative risk assessment (QRA), including emissions release (source) models, fate and transport modeling, exposure assessment, and dose-response modeling, really are important-and indeed, perhaps, essential-for drawing valid causal inferences about health effects of exposures to guide sound, well-informed public health risk management policy. Reduced-form regression models, which skip most or all of these steps, can only quantify statistical associations (which may be due to model specification, variable selection, residual confounding, or other noncausal factors). Sound risk management requires the extra work needed to identify and model valid causal relations.

A population-based study of age inequalities in access to palliative care among cancer patients

BACKGROUND

Inequalities in access to palliative care programs (PCP) by age have been shown to exist in Canada and elsewhere. Few studies have been able to provide greater insight by simultaneously adjusting for multiple demographic, health service, and socio-cultural indicators.

OBJECTIVE

To re-examine the relationship between age and registration to specialized community-based PCP programs among cancer patients and identify the multiple indicators contributing to these inequalities.

METHODS

This retrospective, population-based study was a secondary data analysis of linked individual level information extracted from 6 administrative health databases and contextual (neighborhood level) data from provincial and census information. Subjects included all adults who died due to cancer between 1998 and 2003 living within 2 District Health Authorities in the province of Nova Scotia, Canada. The relationship between registration in a PCP and age was examined using hierarchical nonlinear regression modeling techniques. Identification of potential patient and ecologic contributing indicators was guided by Andersen's conceptual model of health service utilization.

RESULTS

Overall, 66% of 7511 subjects were registered with a PCP. Older subjects were significantly less likely than those <65 years of age to be registered with a PCP, in particular those aged 85 years and older (adjusted odds ratio: 0.4; 95% confidence interval: 0.3-0.5). Distance to the closest cancer center had a major impact on registration.

CONCLUSIONS

Age continues to be a significant predictor of PCP registration in Nova Scotia even after controlling for the confounding effects of many new demographic, health service, and ecologic indicators.

Spatial cluster analysis of early stage breast cancer: a method for public health practice using cancer registry data

OBJECTIVES

Cancer registries are increasingly mapping residences of patients at time of diagnosis, however, an accepted protocol for spatial analysis of these data is lacking. We undertook a public health practice-research partnership to develop a strategy for detecting spatial clusters of early stage breast cancer using registry data.

METHODS

Spatial patterns of early stage breast cancer throughout Michigan were analyzed comparing several scales of spatial support, and different clustering algorithms.

RESULTS

Analyses relying on point data identified spatial clusters not detected using data aggregated into census block groups, census tracts, or legislative districts. Further, using point data, Cuzick-Edwards' nearest neighbor test identified clusters not detected by the SaTScan spatial scan statistic. Regression and simulation analyses lent credibility to these findings.

CONCLUSIONS

In these cluster analyses of early stage breast cancer in Michigan, spatial analyses of point data are more sensitive than analyses relying on data aggregated into polygons, and the Cuzick-Edwards' test is more sensitive than the SaTScan spatial scan statistic, with acceptable Type I error. Cuzick-Edwards' test also enables presentation of results in a manner easily communicated to public health practitioners. The approach outlined here should help cancer registries conduct and communicate results of geographic analyses.

Racial variation in the incidence, care, and outcomes of severe sepsis: analysis of population, patient, and hospital characteristics

RATIONALE

Higher rates of sepsis have been reported in minorities.

OBJECTIVES

To explore racial differences in the incidence and associated case fatality of severe sepsis, accounting for clinical, social, health care service delivery, and geographic characteristics.

METHODS

Retrospective population-based cohort study using hospital discharge and U.S. Census data for all persons (n = 71,102,655) living in 68 hospital referral regions in six states.

MEASUREMENTS AND MAIN RESULTS

Age-, sex- and race-standardized severe sepsis incidence and inpatient case fatality rates, adjusted incidence rate ratios, and adjusted intensive care unit (ICU) admission and case fatality rate differences. Of 8,938,111 nonfederal hospitalizations, 282,292 had severe sepsis. Overall, blacks had the highest age- and sex-standardized population-based incidence (6.08/1,000 vs. 4.06/1,000 for Hispanics and 3.58/1,000 for whites) and ICU case fatality (32.1 vs. 30.4% for Hispanics and 29.3% for whites, P < 0.0001). Adjusting for differences in poverty in their region of residence, blacks still had a higher population-based incidence of severe sepsis (adjusted rate ratio, 1.44 [95% CI, 1.42-1.46]) than whites, but Hispanics had a lower incidence (adjusted rate ratio, 0.91 [0.90-0.92]). Among patients with severe sepsis admitted to the ICU, adjustments for clinical characteristics and the treating hospital fully explained blacks' higher ICU case fatality.

CONCLUSIONS

Higher adjusted black incidence and the lower Hispanic incidence may reflect residual confounding, or it could signal biologic differences in susceptibility. Focused interventions to improve processes and outcomes of care at the hospitals that disproportionately treat blacks could narrow disparities in overall mortality from severe sepsis.

Unmet psychosocial needs of Pennsylvanians with cancer: 1986–2005

BACKGROUND

The purpose of the current study was to identify unmet psychosocial needs of cancer survivors, understand the distribution of needs across subgroups, and compare unmet needs in 2005 with those identified by Houts et al. in 1986.

METHODS

Using a sequential mixed methods design, qualitative interviews were conducted with 32 cancer survivors or family members to identify the psychosocial needs of people from the time of cancer diagnosis through survivorship. These data were used to modify a needs assessment that was mailed to a stratified random sample of survivors obtained from the Pennsylvania Cancer Registry.

RESULTS

A total of 614 survivors returned usable questionnaires. Nearly two-thirds of respondents reported experiencing at least 1 unmet psychosocial need, particularly emotional, physical, and treatment-related needs. It is likely that unmet needs in insurance, employment, information, and home care increased during the 20-year interval between surveys. Demographics associated with increased unmet need included later stage of disease at the time of diagnosis, younger age, more comorbidities, and lower income.

CONCLUSIONS

Unmet psychosocial need remains high despite 20 years of effort to address psychosocial issues. This may be due to a mismatch between needs and services. Unmet need may be related to access issues, a lack of awareness of resources, "new" needs that have arisen in a changing healthcare climate, and patient preferences for types of service. Cancer treatment staff should be especially alert for psychosocial problems in younger individuals with an additional illness burden.

Racial differences in clinical progression among Medicare recipients after treatment for localized prostate cancer (United States)

OBJECTIVE

Prostate cancer recurrence impacts patient quality of life and risk of prostate-cancer specific death following definitive treatment. We investigate differences in disease-free survival among white, black, Hispanic, and Asian patients in a large, population-based database.

METHODS

Merged Surveillance, Epidemiology, and End Results Program (SEER) and Medicare files provided data on 23,353 white patients, 2,814 black patients, 480 Hispanic patients, and 566 Asian patients diagnosed at age 65-84 years with clinically localized prostate cancer between 1986 and 1996 in five SEER sites. Patients were followed through 1998. Racial differences in disease-free survival were assessed using Kaplan-Meier survival curves and Cox regression models.

RESULTS

The 75th percentile disease-free survival time for black patients was 13 months less than that for white patients (95% confidence interval [CI]: 6.2-19.8 months), 29.7 months less than that for Hispanic patients (95% CI: 4.4-55.0 months), and 39.1 months less than that for Asian patients (95% CI: 12.1-66.1 months). In multivariate analysis, black race predicted shorter disease-free survival among surgery patients, but not among radiation patients.

CONCLUSIONS

Black patients experienced shorter disease-free survival compared to white, Hispanic, and Asian patients, and the disease-free survival of white, Hispanic, and Asian patients were not statistically different. Earlier recurrence of prostate cancer may help explain black patients' increased risk of mortality from prostate cancer.

Use of geocoding and surname analysis to estimate race and ethnicity

OBJECTIVE

To review two indirect methods, geocoding and surname analysis, for estimating race/ethnicity as a means for health plans to assess disparities in care.

STUDY DESIGN

Review of published articles and unpublished data on the use of geocoding and surname analyses.

PRINCIPAL FINDINGS

Few published studies have evaluated use of geocoding to estimate racial and ethnic characteristics of a patient population or to assess disparities in health care. Three of four studies showed similar estimates of the proportion of blacks and one showed nearly identical estimates of racial disparities, regardless of whether indirect or more direct measures (e.g., death certificate or CMS data) were used. However, accuracy depended on racial segregation levels in the population and region assessed and geocoding was unreliable for identifying Hispanics and Asians/Pacific Islanders. Similarly, several studies suggest surname analyses produces reasonable estimates of whether an enrollee is Hispanic or Asian/Pacific Islander and can identify disparities in care. However, accuracy depends on the concentrations of Asians or Hispanics in areas assessed. It is less accurate for women and more acculturated and higher SES persons due intermarriage, name changes, and adoption. Surname analysis is not accurate for identifying African Americans. Recent unpublished analyses suggest plans can successfully use a combined geocoding/surname analyses approach to identify disparities in care in most regions. Refinements based on Bayesian methods may make geocoding/surname analyses appropriate for use in areas where the accuracy is currently poor, but validation of these preliminary results is needed.

CONCLUSIONS

Geocoding and surname analysis show promise for estimating racial/ethnic health plan composition of enrollees when direct data on major racial and ethnic groups are lacking. These data can be used to assess disparities in care, pending availability of self-reported race/ethnicity data.

Use of geocoding in managed care settings to identify quality disparities

Tracking quality-of-care measures is essential for improving care, particularly for vulnerable populations. Although managed care plans routinely track quality measures, few examine whether their performance differs by enrollee race/ethnicity or socioeconomic status (SES), in part because plans do not collect that information. We show that plans can begin examining and targeting potential disparities using indirect measures of enrollee race/ethnicity and SES based on geocoding. Using such measures, we demonstrate disparities within both Medicare+Choice and commercial plans on Health Plan Employer Data and Information Set (HEDIS) measures of diabetes and cardiovascular care, including instances in which race/ethnicity and SES have distinct effects.

The relations between symptoms, somatic and psychiatric conditions, life satisfaction and perceived health. A primary care based study

BACKGROUND

In spite of the fact that self-rated health is such an important factor, little is known about the aetiological background to poor perceived health and also less is known about the impact of life satisfaction on health in a primary care practice population. The aim of this study was to evaluate the effect of socio-demographic characteristics, lifestyle factors, symptoms, somatic and psychiatric conditions as well as health status measures and life satisfaction on perceived health in a multi-ethnic Swedish health practice population.

METHODS

Four-hundred and seventy adult patients, who visited the Jordbro Health Care Centre District (JHC), Haninge Municipality, participated in this study. A general questionnaire with questions about socio-demographic characteristics, lifestyle, health status and chronic disease were used. In addition to that, the Primary Care Evaluation of Mental Disorders (PRIME-MD) was used. Furthermore, physical examinations were conducted. Unconditional logistic regression in successive models was used, adjusted for socio-demographic variables and other confounders.

RESULTS

Life satisfaction is the strongest predictor of poor perceived health in addition to country of birth, number of symptoms and depression. Being born in Sweden or other Nordic countries were related to lower OR as compared to those born outside Europe. The OR for non-depressed vs. depressed was 0.29 (0.17-0.48) and for non-symptomatic vs. symptomatic (1-3 symptoms) 0.25 (0.46-0.48). The OR and 95% CI for low satisfaction with life was 15.40 (5.28-44.97) in comparison to those who are satisfied with life.

CONCLUSION

Country of birth, depression, number of symptoms and life satisfaction are factors related significantly and independently to perceived health. Life satisfaction is the strongest predictor of perceived poor health.

Is trust a predictor of having a dental home?

BACKGROUND

Developing a better understanding of sociodemographic variables that predict having a dental home may aid in reducing the disparities in oral health among minorities in the United States.

METHODS

The authors used data from a telephone survey of 1,005 randomly selected low-income residents (403 men, 602 women) aged 18 or older in two Florida counties--Miami-Dade and Duval--to examine the sociodemographic characteristics of people who reported having a regular dentist.

RESULTS

Bivariate analyses showed that respondents' levels of trust in physicians and dentists were strongly associated with having a dental home. After adjusting for other variables in a multiple logistic regression model, the authors found that respondents with a moderate level of trust in physicians and dentists were 52 percent less likely (odds ratio, or OR, = 0.48; 95 percent confidence interval, or CI, 0.26 to 0.89) and those with low trust were 54 percent less likely (OR = 0.46; 95 percent CI, 0.28 to 0.75) than those with high trust to have a regular dentist. Race/ethnicity, sex, age, education level and employment status remained significant correlates of having a regular dentist in the multivariate model.

CONCLUSIONS

The results of this study suggest that efforts to reduce disparities in access to dental care and establish dental homes should include programs to increase patients' trust in dental professionals.

CLINICAL IMPLICATIONS

While policy-makers consider ways to improve access to dental care, dental professionals should work at the community level to increase the level of trust of the community in the dental health provider.

Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer

The use of spatially referenced data in cancer studies is gaining in prominence, fueled by the development and availability of spatial analytic tools and the broadening recognition of the linkages between geography and health. We provide an overview of some of the unique characteristics of spatial data, followed by an account of the major types and sources of data used in the spatial analysis of cancer, including data from cancer registries, population data, health surveys, environmental data, and remote sensing data. We cite numerous examples of recent studies that have used these data, with a focus on etiological research.

eHealth Technology and Internet Resources

Disparities in accessing health information exist for various vulnerable populations. Reviewing access issues for those seeking and/or needing health information suggests that there are many factors that may inhibit access. These include a wide diversity in the education, background, and needs of those seeking information, and the distribution of information among many disciplines and information sources. The most needy among this group may require extensive, multispecialty healthcare and may have particular problems with access, treatment adherence, and working within the healthcare system.

Screening mammography performance and cancer detection among black women and white women in community practice

BACKGROUND

Despite improvement in mammography screening attendance, black women continue to have poorer prognosis at diagnosis than white woman. Data from the Carolina Mammography Registry were used to evaluate whether there may be differences in mammography performance or detected cancers when comparing black women with white women who are screened by mammography.

METHODS

Prospectively collected data from community-based mammography facilities on 468,484 screening mammograms (79,397 in black women and 389,087 in white women) were included for study. Mammograms were linked to a pathology data base for identification of cancers. Sensitivity, specificity, positive predictive value, and cancer detection rates were compared between black women and white women. Logistic regression methods were used to control for covariates associated with performance characteristics. Differences in cancer characteristics were compared between black women and white women using chi-square statistics.

RESULTS

Screening mammography performance results for black women compared with white women were as follows: sensitivity, odds ratio (OR) = 1.07 (95% confidence interval [95% CI], 0.83-1.39); specificity, OR = 1.02 (95% CI, 0.98-1.06); and positive predictive value, OR = 1.07 (95% CI, 0.94-1.23). Among women with no previous screening, black women had a larger proportion of invasive tumors that measured > or = 2 cm (38% vs. 26%; P = 0.04). The cancer detection rate was highest among black women who reported symptoms at screening (13.9 per 1000 black women vs. 7.9 per 1000 white women). Invasive cancers in black women were poorer grade (P = 0.001), and more often had negative estrogen receptor status and progesterone receptor status (P < 0.001).

CONCLUSIONS

Overall, screening mammography performed equally well in black women and white women controlling for age, breast density, and time since previous mammogram. Black women who reported symptoms had larger and higher grade tumors compared with white women. Educational efforts need to be strengthened to encourage black women to react sooner to symptoms, so that the tumors detected will be smaller and black women will have a better prognosis when they appear for mammography.

Ovarian cancer: changes in patterns at diagnosis and relative survival over the last three decades

OBJECTIVE

The purpose of this study was to examine patterns of diagnosis and relative survival in women who had a diagnosis of primary invasive epithelial ovarian cancer (EOC) from 1973 to 1997, with follow-up through the end of 1999.

STUDY DESIGN

From the population-based Surveillance, Epidemiology and End Results (SEER) Program, 32,845 women diagnosed between 1973 and 1997 were used for analysis. The study population was divided in three cohorts based on year of diagnosis and the cohorts were compared with respect to variables of interest by using chi(2) tests and relative survival analysis by the life table method.

RESULTS

There was an increase in the proportions of minorities diagnosed with EOC, of women 60 years or older at diagnosis, and of women undergoing surgery over time. Survival continuously improved over time, although older patients (60 years or older) and African Americans continued to have the poorest survival.

CONCLUSION

Over time, relative survival of women who had primary invasive EOC diagnosed improved.

Relative survival rates and patterns of diagnosis analyzed by time period for individuals with primary malignant brain tumor, 1973-1997

OBJECT

The purpose of this study was to examine patterns of diagnosis and relative survival rates in individuals in whom a primary malignant brain tumor was diagnosed between 1973 and 1997; follow-up review of these patients continued through the end of 1999.

METHODS

The study population was composed of 21,493 patients with primary malignant brain tumors that were diagnosed between 1973 and 1997. Data on these patients were obtained from the population-based Surveillance, Epidemiology, and End Results Program. The study population was divided into three cohorts based on the year of diagnosis, and these groups were compared with respect to variables of interest by performing chi-square tests and relative survival analysis with the life table method. Over time, there were consistently more men, more Caucasians, more patients undergoing surgery, and more individuals 70 years and older who received the diagnosis of primary malignant brain tumor. An examination of proportions of individuals with astrocytoma, other; oligodendroglioma, other; and oligodendroglioma Grade III showed significant temporal changes with frontal and temporal lobe tumors occurring most often. The diagnosis was obtained at an earlier age in African-American than in Caucasian patients. Caucasians had higher proportions of glioblastoma multiforme (GBM), which was associated with decreased survival times, and of oligodendroglioma, other, whereas African Americans had higher proportions of astrocytoma, other; ependymoma Grade II or III; and medulloblastoma, all of which were associated with increased survival times. The relative survival case demonstrated a continuous improvement over time, although older patients, those who underwent biopsy only, and those with GBMs continue to have the poorest survival times. The relative survival rates of African Americans consistently were similar or worse than those of Caucasians when the groups were stratified by prognostic factors.

CONCLUSIONS

Over time, the relative survival rate of individuals with primary malignant brain tumor has improved and differences in survival are seen by examining the race of the patients.

Racial differences in survival after diagnosis with primary malignant brain tumor

BACKGROUND

Previous studies have shown that the overall incidence of primary malignant brain tumor is greatest in Caucasians, although survival is better in African Americans. The objective of this study was to examine racial differences in survival after diagnosis with primary malignant brain tumor in a population-based sample of patients while adjusting for prognostic variables that differ by race.

METHODS

The authors analyzed 21,493 patients (20,493 Caucasians and 1000 African Americans) who were diagnosed with primary malignant brain tumors from 1973 to 1997 (with follow-up through 1999) from the population-based Surveillance, Epidemiology, and End Results (SEER) Program. Chi-square tests were used to determine statistical significance of prognostic variables and race (using two-sided P values). Kaplan-Meier and Cox proportional hazards models were used to assess survival differences by race.

RESULTS

The univariable model for race showed no survival difference by race. The multivariable model demonstrated that African American patients were at a 13% increased risk of death from any cause compared with Caucasian patients. The racial difference was explained further by an interaction between race and surgery type in which there was an increased risk of death for African American patients who underwent subtotal resections or surgery not otherwise specified compared with Caucasian patients who underwent the same procedures.

CONCLUSIONS

There was a significant difference in the risk of death due to any cause for Caucasian patients and African American patients who were diagnosed with first primary brain tumors.

Barriers to self-monitoring of blood glucose among adults with diabetes in an HMO: a cross sectional study

BACKGROUND

Recent studies suggest that patients at greatest risk for diabetes complications are least likely to self-monitor blood glucose. However, these studies rely on self-reports of monitoring, an unreliable measure of actual behavior. The purpose of the current study was to examine the relationship between patient characteristics and self-monitoring in a large health maintenance organization (HMO) using test strips as objective measures of self-monitoring practice.

METHODS

This cross-sectional study included 4,565 continuously enrolled adult managed care patients in eastern Massachusetts with diabetes. Any self-monitoring was defined as filling at least one prescription for self-monitoring test strips during the study period (10/1/92-9/30/93). Regular SMBG among test strip users was defined as testing an average of once per day for those using insulin and every other day for those using oral sulfonylureas only. Measures of health status, demographic data, and neighborhood socioeconomic status were obtained from automated medical records and 1990 census tract data.

RESULTS

In multivariate analyses, lower neighborhood socioeconomic status, older age, fewer HbA1c tests, and fewer physician visits were associated with lower rates of self-monitoring. Obesity and fewer comorbidities were also associated with lower rates of self-monitoring among insulin-managed patients, while black race and high glycemic level (HbA1c>10) were associated with less frequent monitoring. For patients taking oral sulfonylureas, higher dose of diabetes medications was associated with initiation of self-monitoring and HbA1c lab testing was associated with more frequent testing.

CONCLUSIONS

Managed care organizations may face the greatest challenges in changing the self-monitoring behavior of patients at greatest risk for poor health outcomes (i.e., the elderly, minorities, and people living in low socioeconomic status neighborhoods).

Neighborhood environment, racial position, and risk of police-reported domestic violence: a contextual analysis

OBJECTIVES

The purpose of this study was to examine the contribution of neighborhood socioeconomic conditions to risk of police-reported domestic violence in relation to victim's race. Data on race came from police forms legally mandated for the reporting of domestic violence and sexual assault.

METHODS

Using 1990 U.S. census block group data and data for the years 1996-1998 from Rhode Island's domestic violence surveillance system, the authors generated annual and relative risk of police-reported domestic violence and estimates of trends stratified by age, race (black, Hispanic, or white), and neighborhood measures of socioeconomic conditions. Race-specific linear regression models were constructed with average annual risk of police-reported domestic violence as the dependent variable.

RESULTS

Across all levels of neighborhood poverty (< 5% to 100% of residents living below the federal poverty level), the risk of police-reported domestic violence was higher for Hispanic and black women than for white women. Results from the linear regression models varied by race. For black women, living in a census block group in which fewer than 10% of adults ages > or = 25 years were college-educated contributed independently to risk of police-reported domestic violence. Block group measures of relative poverty (> or = 20% of residents living below 200% of the poverty line) and unemployment (> or = 10% of adults ages > or = 16 years in the labor force but unemployed) did not add to this excess. For Hispanic women, three neighborhood-level measures were significant: percentage of residents living in relative poverty, percentage of residents without college degrees, and percentage of households monolingual in Spanish. A higher degree of linguistic isolation, as defined by the percentage of monolingual Spanish households, decreased risk among the most isolated block groups for Hispanic women. For white women, neighborhood-level measures of poverty, unemployment, and education were significant determinants of police-reported domestic violence.

CONCLUSION

When data on neighborhood conditions at the block group level and their interaction with individual racial position are linked to population-based surveillance systems, domestic violence intervention and prevention efforts can be improved.

Patient demographic and socioeconomic characteristics in the SEER-Medicare database applications and limitations

Users of the linked SEER-Medicare database commonly perform analyses that focus on the complex interactions among patient characteristics, cancer treatments, and outcomes. The authors review the source and scope of the patient-specific data elements, with a focus on three domains--demographic characteristics, socioeconomic characteristics, and survival status. They offer some concrete recommendations regarding the use of these data elements. In particular, they describe analyses that provide an estimate of the accuracy of the sex and age variables, and raise some cautionary notes about race and ethnicity variables. The authors describe the available measures of socioeconomic status, and recommend, with some caveats, the use of median income measures as a proxy for socioeconomic status. Finally, they describe the available data on date of death, and explain why confidence in these measures is justified.

Ethnic differences in survival among women with ovarian carcinoma

BACKGROUND

Ovarian carcinoma is the leading cause of death among all female reproductive malignancies. There are substantial differences in age-adjusted incidence rates and survival rates between Caucasian women and African-American women. The objective of this study was to examine ethnic differences in survival after ovarian carcinoma in a population-based sample of women.

METHODS

Thirteen thousand eighty-three patients (12285 Caucasian women and 798 African-American women) who were diagnosed with primary ovarian carcinoma from the population-based Surveillance, Epidemiology, and End Results (SEER) Program were used for analysis. Odds ratios were used to estimate the association between prognostic variables and ethnicity. Chi-square tests were used to determine the statistical significance of these associations (using two-sided P values). Univariable and multivariable Cox proportional hazards models were used to assess survival differences.

RESULTS

African-American women were significantly younger at the time of diagnosis, were more likely to be single, and were less likely to undergo site specific surgery compared with Caucasian women. In addition, the crude median survival for African-American women was nearly 1 year less than for Caucasian women (22 months vs. 32 months, respectively; P < 0.0001). African-American women were at a 30% increased risk of death from any cause when adjusting for all other prognostic variables that differed between the two ethnic groups.

CONCLUSIONS

African-American women who are diagnosed with ovarian carcinoma are at a significant increased risk of death from any cause compared with Caucasian women who are diagnosed with ovarian carcinoma.