Differences in effectiveness and use of laparoscopic surgery in locally advanced colon cancer patients.

Patients with locally advanced colon cancer have worse outcomes. Guidelines of various organizations are conflicting about the use of laparoscopic colectomy (LC) in locally advanced colon cancer. We determined whether patient outcomes of LC and open colectomy (OC) for locally advanced (T4) colon cancer are comparable in all colon cancer patients, T4a versus T4b patients, obese versus non-obese patients, and tumors located in the ascending, descending, and transverse colon. We used data from the 2013-2015 American College of Surgeons' National Surgical Quality Improvement Program. Patients were diagnosed with nonmetastatic pT4 colon cancer, with or without obstruction, and underwent LC (n = 563) or OC (n = 807). We used a composite outcome score (mortality, readmission, re-operation, wound infection, bleeding transfusion, and prolonged postoperative ileus); length of stay; and length of operation. Patients undergoing LC exhibited a composite outcome score that was 9.5% lower (95% CI - 15.4; - 3.5) versus those undergoing OC. LC patients experienced a 11.3% reduction in postoperative ileus (95% CI - 16.0; - 6.5) and an average of 2 days shorter length of stay (95% CI - 2.9; - 1.0). Patients undergoing LC were in the operating room an average of 13.5 min longer (95% CI 1.5; 25.6). We found no evidence for treatment heterogeneity across subgroups (p > 0.05). Patients with locally advanced colon cancer who receive LC had better overall outcomes and shorter lengths of stay compared with OC patients. LC was equally effective in obese/nonobese patients, in T4a/T4b patients, and regardless of the location of the tumor.

Influence of built environment on quality of life changes in African-American patients with non-metastatic breast cancer.

Research links the built environment to health outcomes, but little is known about how this affects quality of life (QOL) of African American breast cancer patients, especially those residing in disadvantaged neighborhoods. Using latent trajectory models, we examined whether the built environment using Google Street View was associated with changes in QOL over a 2-year follow-up in 228 newly diagnosed African American breast cancer patients. We measured QOL using the RAND 36-Item Health Survey subscales. After adjusting for covariates, improvement in emotional well-being and pain over time was greater for women living on streets with low-quality (vs. high-quality) sidewalks.

Differences in Effectiveness and Use of Robotic Surgery in Patients Undergoing Minimally Invasive Colectomy.

BACKGROUND: We compared patient outcomes of robot-assisted surgery (RAS) and laparoscopic colectomy without robotic assistance for colon cancer or nonmalignant polyps, comparing all patients, obese versus nonobese patients, and male versus female patients. METHODS: We used the 2013-2015 American College of Surgeons National Surgical Quality Improvement Program data to examine a composite outcome score comprised of mortality, readmission, reoperation, wound infection, bleeding transfusion, and prolonged postoperative ileus. We used propensity scores to assess potential heterogeneous treatment effects of RAS by patient obesity and sex. RESULTS: In all, 17.1% of the 10,844 of patients received RAS. Males were slightly more likely to receive RAS. Obese patients were equally likely to receive RAS as nonobese patients. In comparison to nonRAS, RAS was associated with a 3.1% higher adverse composite outcome score. Mortality, reoperations, wound infections, sepsis, pulmonary embolisms, deep vein thrombosis, myocardial infarction, blood transfusions, and average length of hospitalization were similar in both groups. Conversion to open surgery was 10.1% lower in RAS versus nonRAS patients, but RAS patients were in the operating room an average of 52.4 min longer. We found no statistically significant differences (p > 0.05) by obesity status and gender. CONCLUSIONS: Worse patient outcomes and no differential improvement by sex or obesity suggest more cautious adoption of RAS.

Accelerated partial breast irradiation compared with whole breast radiation therapy: a breast cancer cohort study measuring change in radiation side-effects severity and quality of life.

PURPOSE: Radiotherapy (RT) after breast-conserving surgery for early-stage breast cancer patients has similar survival benefits with whole breast RT (WBRT) or accelerated partial breast irradiation (APBI). However, the impact of RT type and side-effects severity on change in quality of life (QOL) is unknown. We examined changes in RT side-effects severity and QOL by RT type. METHODS: We analyzed data from a cohort of 285 newly diagnosed early-stage breast cancer patients with tumor size ≤3.0 cm and lymph node-negative disease. Patients (93 [32.6%] stage 0; 49 [17.2%] non-white; mean age = 59.3 years) completed four interviews (6 weeks, 6, 12, and 24 months) after definitive surgical treatment. We measured severity of RT side effects, fatigue and skin irritation, using a 5-point scale (1 "not at all" to 5 "all the time") and measured QOL using the Functional Assessment of Cancer Therapy-Breast (FACT-B) and RAND 36-item Health Survey Vitality subscale. Repeated-measures analysis of covariance of each outcome controlled for demographic, clinical/treatment, and psychosocial factors. RESULTS: Patients initiated RT by 6 months (113 received APBI; 172 received WBRT) and completed RT by 12 months. Patients receiving WBRT (vs. APBI) reported greater increase in fatigue and skin irritation severity from 6-week to 6-month interviews (each P < 0.001). Improvement in neither total FACT-B nor Vitality differed significantly by RT type over 2-year follow-up. CONCLUSIONS: Findings suggest that early-stage breast cancer patients can benefit from less-severe, short-term side effects of APBI with no differential impact on QOL change within 2-year follow-up.

Explaining large mortality differences between adjacent counties: a cross-sectional study.

BACKGROUND: Extensive geographic variation in adverse health outcomes exists, but global measures ignore differences between adjacent geographic areas, which often have very different mortality rates. We describe a novel application of advanced spatial analysis to 1) examine the extent of differences in mortality rates between adjacent counties, 2) describe differences in risk factors between adjacent counties, and 3) determine if differences in risk factors account for the differences in mortality rates between adjacent counties. METHODS: We conducted a cross-sectional study in Missouri, USA with 2005-2009 age-adjusted all-cause mortality rate as the outcome and county-level explanatory variables from a 2007 population-based survey. We used a multi-level Gaussian model and a full Bayesian approach to analyze the difference in risk factors relative to the difference in mortality rates between adjacent counties. RESULTS: The average mean difference in the age-adjusted mortality rate between any two adjacent counties was -3.27 (standard deviation = 95.5) per 100,000 population (maximum = 258.80). Six variables were associated with mortality differences: inability to obtain medical care because of cost (ß = 2.6), hospital discharge rate (ß = 1.03), prevalence of fair/poor health (ß = 2.93), and hypertension (ß = 4.75) and poverty prevalence (ß = 6.08). CONCLUSIONS: Examining differences in mortality rates and associated risk factors between adjacent counties provides additional insight for future interventions to reduce geographic disparities.

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps.

Adverse neighborhood conditions play an important role beyond individual characteristics. There is increasing interest in identifying specific characteristics of the social and built environments adversely affecting health outcomes. Most research has assessed aspects of such exposures via self-reported instruments or census data. Potential threats in the local environment may be subject to short-term changes that can only be measured with more nimble technology. The advent of new technologies may offer new opportunities to obtain geospatial data about neighborhoods that may circumvent the limitations of traditional data sources. This overview describes the utility, validity and reliability of selected emerging technologies to measure neighborhood conditions for public health applications. It also describes next steps for future research and opportunities for interventions. The paper presents an overview of the literature on measurement of the built and social environment in public health (Google Street View, webcams, crowdsourcing, remote sensing, social media, unmanned aerial vehicles, and lifespace) and location-based interventions. Emerging technologies such as Google Street View, social media, drones, webcams, and crowdsourcing may serve as effective and inexpensive tools to measure the ever-changing environment. Georeferenced social media responses may help identify where to target intervention activities, but also to passively evaluate their effectiveness. Future studies should measure exposure across key time points during the life-course as part of the exposome paradigm and integrate various types of data sources to measure environmental contexts. By harnessing these technologies, public health research can not only monitor populations and the environment, but intervene using novel strategies to improve the public health.

The effect of education plus access on perceived fruit and vegetable consumption in a rural African American community intervention.

African Americans have an increased risk of cardiovascular disease partly due to low fruit and vegetable consumption. This article reports the results of an intervention to provide nutrition education and access to fruits and vegetables through community gardens to change dietary behaviors among African Americans in rural Missouri. Cross-sectional surveys evaluated the intervention effect on blood pressure, body mass index (BMI), and perceived fruit and vegetable consumption in this quasi-experimental study with a comparison group. Hypertension (OR = 0.52, 95% CI: 0.38-0.71) and BMI (OR = 0.73, 95% CI: 0.52-1.02) were lower in the intervention county at mid-intervention. Participation in nutrition education (OR = 2.67, 95% CI: 1.63-4.40) and access to fruits and vegetables from a community garden (OR = 1.95, 95% CI: 1.20-3.15) were independently associated with perceived fruit and vegetable consumption. The strongest effect on perceived fruit and vegetable consumption occurred with high participation in nutrition education and access to community gardens (OR = 2.18, 95% CI: 1.24-3.81). Those with access but without education had a reduced likelihood of consuming recommended servings of fruits and vegetables (OR = 0.57, 95% CI: 0.34-0.95). Education plus access interventions may be best at increasing consumption of fruits and vegetables in a rural African American population.

The utility of Google Trends data to examine interest in cancer screening.

OBJECTIVES: We examined the utility of January 2004 to April 2014 Google Trends data from information searches for cancer screenings and preparations as a complement to population screening data, which are traditionally estimated through costly population-level surveys. SETTING: State-level data across the USA. PARTICIPANTS: Persons who searched for terms related to cancer screening using Google, and persons who participated in the Behavioral Risk Factor Surveillance System (BRFSS). PRIMARY AND SECONDARY OUTCOME MEASURES: (1) State-level Google Trends data, providing relative search volume (RSV) data scaled to the highest search proportion per week (RSV100) for search terms over time since 2004 and across different geographical locations. (2) RSV of new screening tests, free/low-cost screening for breast and colorectal cancer, and new preparations for colonoscopy (Prepopik). (3) State-level breast, cervical, colorectal and prostate cancer screening rates. RESULTS: Correlations between Google Trends and BRFSS data ranged from 0.55 for ever having had a colonoscopy to 0.14 for having a Pap smear within the past 3 years. Free/low-cost mammography and colonoscopy showed higher RSV during their respective cancer awareness months. RSV for Miralax remained stable, while interest in Prepopik increased over time. RSV for lung cancer screening, virtual colonoscopy and three-dimensional mammography was low. CONCLUSIONS: Google Trends data provides enormous scientific possibilities, but are not a suitable substitute for, but may complement, traditional data collection and analysis about cancer screening and related interests.

Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.

PURPOSE: To develop a prognostic model to predict 30-day mortality following colorectal cancer (CRC) surgery using the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked data and to assess whether race/ethnicity, neighborhood, and hospital characteristics influence model performance. METHODS: We included patients aged 66 years and older from the linked 2000-2005 SEER-Medicare database. Outcome included 30-day mortality, both in-hospital and following discharge. Potential prognostic factors included tumor, treatment, sociodemographic, hospital, and neighborhood characteristics (census-tract-poverty rate). We performed a multilevel logistic regression analysis to account for nesting of CRC patients within hospitals. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) for discrimination and the Hosmer-Lemeshow goodness-of-fit test for calibration. RESULTS: In a model that included all prognostic factors, important predictors of 30-day mortality included age at diagnosis, cancer stage, and mode of presentation. Race/ethnicity, census-tract-poverty rate, and hospital characteristics were independently associated with 30-day mortality, but they did not influence model performance. Our SEER-Medicare model achieved moderate discrimination (AUC = 0.76), despite suboptimal calibration. CONCLUSIONS: We developed a prognostic model that included tumor, treatment, sociodemographic, hospital, and neighborhood predictors. Race/ethnicity, neighborhood, and hospital characteristics did not improve model performance compared with previously developed models.

Hospital and geographic variability in two colorectal cancer surgery outcomes: complications and mortality after complications.

BACKGROUND: The purpose of this study was to describe hospital and geographic variation in 30-day risk of surgical complications and death among colorectal cancer (CRC) patients and the extent to which patient-, hospital-, and census-tract-level characteristics increased risk of these outcomes. METHODS: We included patients at least 66 years old with first primary stage I-III CRC from the 2000-2005 National Cancer Institute's Surveillance, Epidemiology, and End Results data linked with 1999-2005 Medicare claims. A multilevel, cross-classified logistic model was used to account for nesting of patients within hospitals and within residential census tracts. Outcomes were risk of complications and death after a complication within 30 days of surgery. RESULTS: Data were analyzed for 35,946 patients undergoing surgery at 1,222 hospitals and residing in 12,187 census tracts; 27.2 % of patients developed complications, and of these 13.4 % died. Risk-adjusted variability in complications across hospitals and census tracts was similar. Variability in mortality was larger than variability in complications, across hospitals and across census tracts. Specific characteristics increased risk of complications (e.g., census-tract-poverty rate, emergency surgery, and being African-American). No hospital characteristics increased complication risk. Specific characteristics increased risk of death (e.g. census-tract-poverty rate, being diagnosed with colon (versus rectal) cancer, and emergency surgery), while hospitals with at least 500 beds showed reduced death risk. CONCLUSIONS: Large, unexplained variations exist in mortality after surgical complications in CRC across hospitals and geographic areas. The potential exists for quality improvement efforts targeted at the hospital and/or census-tract levels to prevent complications and augment hospitals' ability to reduce mortality risk.

Epidemiology and neuropsychiatric manifestations of Young Onset Parkinson's Disease in the United States.

BACKGROUND: To determine the demographic distribution of Young Onset Parkinson's Disease (YOPD) in the United States and to quantify the burden of neuropsychiatric disease manifestations. METHODS: Cross sectional study of 3,459,986 disabled Americans, aged 30-54, who were receiving Medicare benefits in the year 2005. We calculated race and sex distributions of YOPD and used logistic regression to compare the likelihood of common and uncommon psychiatric disorders between beneficiaries with YOPD and the general disability beneficiary population, adjusting for race, age, and sex. RESULTS: We identified 14,354 Medicare beneficiaries with YOPD (prevalence = 414.9 per 100,000 disabled Americans). White men comprised the majority of cases (48.9%), followed by White women (34.7%), Black men (6.8%), Black women (5.0%), Hispanic men (2.4%), and Hispanic women (1.2%). Asian men (0.6%) and Asian women (0.4%) were the least common race-sex pairs with a YOPD diagnosis in this population (chi square, p < 0.001). Compared to the general population of medically disabled Americans, those with YOPD were more likely to receive medical care for depression (OR: 1.89, 1.83-1.95), dementia (OR: 7.73, 7.38-8.09), substance abuse/dependence (OR: 3.00, 2.99-3.01), and were more likely to be hospitalized for psychosis (OR: 3.36, 3.19-3.53), personality/impulse control disorders (OR: 4.56, 3.28-6.34), and psychosocial dysfunction (OR: 3.85, 2.89-5.14). CONCLUSIONS: Young Onset Parkinson's Disease is most common among white males in our study population. Psychiatric illness, addiction, and cognitive impairment are more common in YOPD than in the general population of disabled Medicare beneficiaries. These may be key disabling factors in YOPD.

Quality of life over time in women diagnosed with ductal carcinoma in situ, early-stage invasive breast cancer, and age-matched controls.

Little is known about quality-of-life (QOL) differences over time between incident ductal carcinoma in situ (DCIS) and early-stage invasive breast cancer (EIBC) cases as compared with same-aged women without breast cancer (controls). We prospectively recruited and interviewed 1,096 women [16.8% DCIS, 33.3% EIBC (25.7% Stage I; and 7.6% Stage IIA), 49.9% controls; mean age 58; 23.7% non-white] at mean 6.7 weeks (T1), and 6.2 (T2), 12.3 (T3), and 24.4 months (T4) after surgery (patients) or screening mammogram (controls). We tested two hypotheses: (1) DCIS patients would report lower levels of QOL compared with controls but would report similar QOL compared with EIBC patients at baseline; and (2) DCIS patients' QOL would improve during 2-year follow-up and approach levels similar to that of controls faster than EIBC patients. We tested hypothesis 1 using separate general linear regression models for each of the eight subscales on the RAND 36-item Health Survey, controlling for variables associated with at least one subscale at T1. Both DCIS and EIBC patients reported lower QOL at T1 than controls on all subscales (each P<0.05). We tested hypothesis 2 using generalized estimating equations to examine change in each QOL subscale over time across the three diagnostic groups adjusting for covariates. By T3, physical functioning, role limitations due to physical problems, energy/fatigue, and general health each differed significantly by diagnostic group at P<0.05, because of larger differences between EIBC patients and controls; but DCIS patients no longer differed significantly from controls on any of the QOL subscales. At T4, EIBC patients still reported worse physical functioning (P=0.0001) and general health (P=0.0017) than controls, possibly because of lingering treatment effects. DCIS patients' QOL was similar to that of controls two years after diagnosis, but some aspects of EIBC patients' QOL remained lower.

Neurologist care in Parkinson disease: a utilization, outcomes, and survival study.

OBJECTIVE: To investigate the utilization of neurologist providers in the treatment of patients with Parkinson disease (PD) in the United States and determine whether neurologist treatment is associated with improved clinical outcomes. METHODS: This was a retrospective observational cohort study of Medicare beneficiaries with PD in the year 2002. Multilevel logistic regression was used to determine which patient characteristics predicted neurologist care between 2002 and 2005 and compare the age, race, sex, and comorbidity-adjusted annual risk of skilled nursing facility placement and hip fracture between neurologist- and primary care physician-treated patients with PD. Cox proportional hazards models were used to determine the adjusted 6-year risk of death using incident PD cases, stratified by physician specialty. RESULTS: More than 138,000 incident PD cases were identified. Only 58% of patients with PD received neurologist care between 2002 and 2005. Race and sex were significant demographic predictors of neurologist treatment: women (odds ratio [OR] 0.78, 95% confidence interval [CI] 0.76-0.80) and nonwhites (OR 0.83, 95% CI 0.79-0.87) were less likely to be treated by a neurologist. Neurologist-treated patients were less likely to be placed in a skilled nursing facility (OR 0.79, 95% CI 0.77-0.82) and had a lower risk of hip fracture (OR 0.86, 95% CI 0.80-0.92) in logistic regression models that included demographic, clinical, and socioeconomic covariates. Neurologist-treated patients also had a lower adjusted likelihood of death (hazard ratio 0.78, 95% CI 0.77-0.79). CONCLUSIONS: Women and minorities with PD obtain specialist care less often than white men. Neurologist care of patients with PD may be associated with improved selected clinical outcomes and greater survival.

Reliability of health-related quality-of-life indicators in cancer survivors from a population-based sample, 2005, BRFSS.

OBJECTIVE: The current emphasis in cancer survivorship research, which includes health-related quality of life (HRQoL), drives the need to monitor the nation's cancer burden. Routine, ongoing public health surveillance tools, such as the Behavioral Risk Factor Surveillance System (BRFSS), may be relevant for this purpose. STUDY DESIGN: A subsample of the 2005 Missouri BRFSS was used to estimate test-retest reliability of HRQoL questions among persons who did and did not report a personal cancer history. METHODS: Retest interviews were conducted by telephone 14-21 days after the initial data collection (n=540, 67% response rate). Reliability was estimated overall and by cancer history using intraclass correlation coefficients (ICCs) and kappa statistics. RESULTS: The majority of retest respondents were White, female and married, with 13% reporting a history of cancer. Overall, point estimates of the reliability coefficients ranged from moderate to excellent (kappa=0.57-0.75). There were no statistically significant differences in test-retest reliability between persons with and without a history of cancer, except for self-reported pain (ICC=0.59 and ICC=0.78, respectively). CONCLUSIONS: In general, BRFSS questions appear to have adequate reliability for monitoring HRQoL in this community-dwelling population, regardless of cancer history.

Rural-urban differences in radiation therapy for ductal carcinoma in-situ of the breast.

PURPOSE: Rural women in the United States are at a documented disadvantage with regard to breast cancer detection, diagnosis, and treatment and generally do not receive state-of-the-art therapy. The objective of the study was to determine if, and to what extent, rural women were less likely to receive radiation therapy (XRT) following breast conserving surgery (BCS) for ductal carcinoma in-situ (DCIS). METHODS: Our analyses were based on 1991-1996 data provided by the Surveillance, Epidemiology, and End Results (SEER) Program. Only women who were diagnosed with their first primary, microscopically confirmed DCIS breast cancer were included. BCS and XRT were defined according to SEER definitions. Multiple logistic regression was used in the analysis. RESULTS: During this time period, 6,988 women were treated with BCS for DCIS, 50.1% of whom received XRT. In multivariate analysis, rural women in general (OR = 0.58) and younger women (<65) in particular (OR = 0.38) were less likely to receive XRT. Local availability of XRT was not associated with receipt among younger women, while older women without this availability were less likely to receive XRT (OR = 0.48). CONCLUSIONS: Barriers to XRT following BCS for DCIS may be different between younger and older rural women relative to their urban counterparts.

Improving survival of vulnerable infants increases neonatal intensive care unit nosocomial infection rate.

OBJECTIVE: To determine the factors associated with an increasing rate of nosocomial infections in infants with very low birth weights. METHODS: Retrospective review of clinical and nosocomial infection databases for all infants with birth weights of 1500 g or less admitted to an academic neonatal intensive care unit between January 1, 1991, and December 31, 1997 (N = 1184). Two study periods were compared: 1991-1995 and 1996-1997. RESULTS: Among the 1085 infants who survived beyond 48 hours, the proportion who developed nosocomial infections increased from 22% to 31% (P =.001) and the infection rate increased from 0.5 to 0.8 per 100 patient-days (P<.001) during the period from 1996 to 1997. In that same period, the median duration of indwelling vascular access increased from 10 to 16 days (P<.001), and the median duration of mechanical ventilation increased from 7 to 12 days (P<.001). Although the device-specific rate of bloodstream or respiratory infections did not change, the increase in infections was directly attributable to the increasing proportion of infants who required these devices. In both study periods, the peak incidence of initial infection occurred between 10 and 20 days of age. For the entire sample, proportional hazard models identified birth weight, duration of vascular access, and postnatal corticosteroid exposure as significant contributors to the risk of infection. CONCLUSIONS: The increasing number of technology-dependent infants was the primary determinant in the increase of nosocomial infections. Because these infections occur in a small proportion of infants, understanding the host factors that contribute to this vulnerability is necessary to decrease nosocomial infections in neonatal intensive care units.

Early indicators of the effect of a breast cancer screening program for low-income women.

The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) was developed to increase screening among low-income women who are uninsured or underinsured. This study reports early indicators of the effectiveness of this breast screening program in Iowa. Using data from the Census Bureau and the Iowa Behavioral Risk Factor Surveillance System, we found that racial and ethnic minorities aged 50 to 64 more likely were screened by the NBCCEDP than were their counterparts. Data collected by the Iowa BCCEDP showed a breast cancer detection rate (7.1 per 1,000 women screened) that was at least three times higher than its historical comparison, an indication of the lead time of the screened over the nonscreened population. Predictive values positive (referral and biopsy) and stage distribution were typically higher than for the national program but lower than in other countries. In conclusion, a breast cancer screening program among low-income women can be implemented successfully, judged by early indicators of program effectiveness.

Ambulatory care for traumatic brain injuries in the US, 1995-1997.

The burden of mild traumatic brain injury (TBI) is not well understood at the national level, but hospitalization rates show a decline over time. This paper describes ambulatory care for TBI patients at physician offices, hospital outpatient departments, and emergency departments (EDs) in comparison with non-TBI visits for the US during 1995-1997. An estimated 1.4 million visits for TBI were made each year for an average annual rate of 5.4/1,000 population. A decline in annual visit rate was noted during 1995-1997. Visit rates were higher for those aged 0 -14 and 75 and older. Falls (44%) and motor vehicles (28%) were the primary injury causes. Rural-urban differences were found, also in comparison with non-TBI. In 23% of visits to EDs, a CT scan was ordered or performed and in 33%, a mental status exam was conducted. Further investigations are warranted to describe ambulatory care for TBI in more detail, particularly in light of a decline in hospitalization rates.

Factors associated with adequacy of diagnostic workup after abnormal breast cancer screening results.

BACKGROUND: Women with certain characteristics, such as those residing in rural areas, are less likely screened for breast cancer. To enhance detection of early breast cancer, it is imperative that all women who have abnormal screening results receive appropriate diagnostic procedures. This study reports differences in receipt of diagnostic services following abnormal screening results. METHODS: Screening and diagnostic data were collected as part of a breast and cervical cancer early detection program aimed at reaching women of lower socioeconomic status. Women with completed diagnostic information after having abnormal screening results were included. We based adequacy of diagnostic services on guidelines from the Society for Surgical Oncology, The Commission on Cancer of the American College of Surgeons, and the Centers for Disease Control and Prevention. Several factors were assessed for their association with adequacy of diagnostic follow-up: income, age, race, education, health insurance status, rural-urban residence, reported breast lump, family history of breast cancer, and clinical beast examination or mammogram results. RESULTS: Overall, 14.1% of the 351 abnormal findings were considered inadequately followed up based on the algorithm used. Eighty percent involved an abnormal finding on a clinical breast examination regardless of the mammogram results. Rural women, those with abnormal clinical breast examination findings but normal or equivocal findings on mammograms, and those who self-discovered a mass were less likely to receive adequate follow-up than were their counterparts in multivariate analysis. Rural women were less likely to receive a biopsy or fine-needle aspiration, although it was indicated. One facility accounted for most of the inadequate follow-up screenings among urban women. CONCLUSIONS: Women who have specific demographic and clinical characteristics were less likely to have received adequate diagnostic services. Breast cancers could have been missed initially as a result of inappropriate follow-up. Further investigation of the clinical scenarios using chart reviews is warranted.