The effects of physician supply on the early detection of colorectal cancer

BACKGROUND: Policymakers question whether there is a relationship between the number and distribution of physicians and the outcomes for important health conditions. We hypothesized that increasing primary care physician supply would be related to earlier detection of colorectal cancer. METHODS: We identified incident cases of colorectal cancer occurring in Florida in 1994 (n = 8,933) from the state cancer registry. We then obtained measures of physician supply from the 1994 American Medical Association Physician Masterfile and examined the effects of physician supply (at the levels of county and ZIP code clusters) on the odds of late-stage diagnosis using multiple logistic regression. RESULTS: For each 10-percentile increase in primary care physician supply at the county level, the odds of late-stage diagnosis decreased by 5% (adjusted odds ratio [OR] = 0.95; 95% confidence interval [CI], 0.92 - 0.99; P = .007). For each 10-percentile increase in specialty physician supply, the odds of late-stage diagnosis increased by 5% (adjusted OR = 1.05; 95% CI, 1.02-1.09; P = .006). Within ZIP code clusters, each 10-percentile increase in the supply of general internists was associated with a 3% decrease in the odds of late-stage diagnosis (OR = 0.97; 95% CI, 0.95 - 0.99; P = .006), and among women, each 10-percentile increase in the supply of obstetrician/gynecologists was associated with a 5% increase in the odds of late-stage diagnosis (OR = 1.05; 95% CI, 1.01 - 1.08; P = .005). CONCLUSIONS: If the relationships observed were causal, then as many as 874 of the 5463 (16%) late-stage colorectal cancer diagnoses are attributable to the physician specialty supply found in Florida. These findings suggest that an appropriate balance of primary care and specialty physicians may be important in achieving optimal health outcomes.     

Quantifying the health benefits of primary care physician supply in the United States.

This analysis addresses the question, Would increasing the number of primary care physicians improve health outcomes in the United States? A search of the PubMed database for articles containing "primary care physician supply" or "primary care supply" in the title, published between 1985 and 2005, identified 17 studies, and 10 met all inclusion criteria. Results were reanalyzed to assess primary care effect size and the predicted effect on health outcomes of a one-unit increase in primary care physicians per 10,000 population. Primary care physician supply was associated with improved health outcomes, including all-cause, cancer, heart disease, stroke, and infant mortality; low birth weight; life expectancy; and self-rated health. This relationship held regardless of the year (1980-1995) or level of analysis (state, county, metropolitan statistical area (MSA), and non-MSA levels). Pooled results for all-cause mortality suggest that an increase of one primary care physician per 10,000 population was associated with an average mortality reduction of 5.3 percent, or 49 per 100,000 per year.     

Primary care, social inequalities and all-cause, heart disease and cancer mortality in US counties: a comparison between urban and non-urban areas

OBJECTIVE: The objective of this study was to test whether the association between primary care and income inequality on all-cause, heart disease and cancer mortality at county level differs in urban (Metropolitan Statistical Area-MSA) compared with non-urban (non-MSA) areas. STUDY DESIGN: The study consisted of a cross-sectional analysis of county-level data stratified by MSA and non-MSA areas in 1990. Dependent variables included age and sex-standardized (per 100,000) all-cause, heart disease and cancer mortality. Independent variables included primary care resources, income inequality, education levels, unemployment, racial/ethnic composition and income levels. METHODS: One-way analysis of variance and multivariate ordinary least squares regression were employed for each health outcome. RESULTS: Among non-MSA counties, those in the highest income inequality category experienced 11% higher all-cause mortality, 9% higher heart disease mortality, and 9% higher cancer mortality than counties in the lowest income inequality quartile, while controlling for other health determinants. Non-MSA counties with higher primary care experienced 2% lower all-cause mortality, 4% lower heart disease mortality, and 3% lower cancer mortality than non-MSA counties with lower primary care. MSA counties with median levels of income inequality experienced approximately 6% higher all-cause mortality, 7% higher heart disease mortality, and 7% higher cancer mortality than counties in the lowest income inequality quartile. MSA counties with low primary care (less than 75th percentile) had significantly lower levels of all-cause, heart disease and cancer mortality than those counties with high primary care. CONCLUSIONS: In non-MSA counties, increasing primary physician supply could be one way to address the health needs of rural populations. In MSA counties, the association between primary care and health outcomes appears to be more complex and is likely to require intervention that focuses on multiple fronts.     

National Health Service Corps Staffing and the Growth of the Local Rural Non-NHSC Primary Care Physician Workforce

CONTEXT: Beyond providing temporary staffing, National Health Service Corps (NHSC) clinicians are believed by some observers to contribute to the long-term growth of the non-NHSC physician workforce of the communities where they serve; others worry that NHSC clinicians compete with and impede the supply of other local physicians. PURPOSE: To assess long-term changes in the non-NHSC primary care physician workforce of rural underserved counties that have received NHSC staffing support relative to workforce changes in underserved counties without NHSC support. METHODS: Using data from the American Medical Association and NHSC, we compared changes from 1981 to 2001 in non-NHSC primary care physician to population ratios in 2 subsets of rural whole-county health professional shortage areas: (1) 141 counties staffed by NHSC physicians, nurse practitioners, and/or physician assistants during the early 1980s and for many of the years since and (2) all 142 rural health professional shortage area counties that had no NHSC clinicians from 1979 through 2001. FINDINGS: From 1981 to 2001, counties staffed by NHSC clinicians experienced a mean increase of 1.4 non-NHSC primary care physicians per 10,000 population, compared to a smaller, 0.57 mean increase in counties without NHSC clinicians. The finding of greater non-NHSC primary care physician to population mean ratio increase in NHSC-supported counties remained significant after adjusting for baseline county demographics and health care resources (P < .001). The estimated number of "extra" non-NHSC physicians in NHSC-supported counties in 2001 attributable to the NHSC was 294 additional physicians for the 141 supported counties, or 2 extra physicians, on average, for each NHSC-supported county. Over the 20 years, more NHSC-supported counties saw their non-NHSC primary care workforces grow to more than 1 physician per 3,500 persons, but no more NHSC-supported than nonsupported counties lost their health professional shortage area designations. CONCLUSIONS: These data suggest that the NHSC contributed positively to the non-NHSC primary care physician workforce in the rural underserved counties where its clinicians worked during the 1980s and 1990s.     

Access to Spanish-speaking physicians in California: supply, insurance, or both

BACKGROUND: National studies report patients with limited English proficiency (LEP) have difficulty finding bilingual physicians; however, it is unclear whether this situation is primarily a result of an inadequate supply of bilingual physicians or a lack of the insurance coverage necessary to gain access to bilingual physicians. In California, 12% of urban residents are Spanish-speaking with some limited proficiency in English. The majority of these residents (67%) are uninsured or on Medicaid. METHODS: In 2001, we performed a mailed survey of a probability sample of primary care and specialist physicians practicing in California. We received 1364 completed questionnaires from 2240 eligible physicians (61%). Physicians were asked about their demographics, practice characteristics, whether they were fluent in Spanish, and whether they had Medicaid or uninsured patients in their practice. RESULTS: Twenty-six percent of primary care and 22% of specialist physicians in the 13 urban study counties reported that they were fluent in Spanish. This represented 146 primary care and 66 specialist physicians who spoke Spanish for every 100,000 Spanish-speaking LEP residents. In contrast to the general population, there were only 48 Spanish-speaking primary care and 29 specialist physician equivalents available for every 100,000 Spanish-speaking LEP patients on Medicaid and even fewer (34 primary care and 4 specialist) Spanish-speaking physician equivalents for every 100,000 Spanish-speaking physician equivalents for uninsured Spanish-speaking LEP patients. CONCLUSION: Although the supply of Spanish-speaking physicians in California is relatively high, the insurance status of LEP Spanish-speaking patients limits their access to the physicians. Addressing health insurance-related barriers to care for those on Medicaid and the uninsured is critical to improving health care for Spanish-speaking LEP patients.     

More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions

OBJECTIVE: To conduct an empirical test of the relationship between physician supply and hospitalization for ambulatory care sensitive conditions (ACSH). DATA SOURCES/STUDY SETTING: A data set of county ACSH rates compiled by the Safety Net Monitoring Initiative of the Agency for Healthcare Research and Quality (AHRQ). The analytical data set consists of 642 urban counties and 306 rural counties. We supplemented the AHRQ data with data from the Area Resource File and the Environmental Protection Agency. STUDY DESIGN: Ordinary least squares regression estimated ACSH predictors. Physician supply, the independent variable of interest in this analysis, was measured as a continuous variable (MDs/100,000). Urban and rural areas were modeled separately. Separate models were estimated for ages 0-17, 18-39, and 40-64. DATA EXTRACTION METHODS: Data were limited to 20 states having more than 50 percent of counties with nonmissing data. PRINCIPAL FINDINGS: In the urban models for ages 0-17, standardized estimates indicate that, among the measured covariates in our model, physician supply has the largest negative adjusted relationship with ACSH (p<.0001). For ages 18-39 and 40-64, physician supply has the second largest negative adjusted relationship with ACSH (p<.0001, both age groups). Physician supply was not associated with ACSH in rural areas. CONCLUSIONS: Physician supply is positively associated with the overall performance of the primary health care system in a large sample of urban counties of the United States.     

Relationship of infant mortality to the availability of obstetrical care in Indiana.

BACKGROUND. Projects that are currently under way in Indiana to improve access to obstetrical care have not addressed the availability of these services in nonmetropolitan areas. This study was designed to identify all physicians who were providing obstetrical services in every county throughout the state to determine if there is a correlation between the availability of these services and the infant mortality rate in nonmetropolitan counties. METHODS. A state-wide physician profile maintained by the Indiana Academy of Family Physicians was cross-referenced with a telephone survey of all hospitals in the state to identify those physicians providing obstetrical services within each county in Indiana. The number of physicians in each county was then compared with the number of births per year by mothers from that county to determine whether nonmetropolitan counties had sufficient physicians to provide obstetrical services. Finally, these findings were compared with the most recent infant mortality rate for each nonmetropolitan county. RESULTS. A total of 610 family physicians, 311 obstetricians, and 75 general practitioners were providing obstetrical care in Indiana. There were 10 counties that did not have a physician who delivered babies practicing in that county. Thirty-two counties had more women who needed obstetrical care than the current number of physicians could serve. There was a negative correlation between physician availability and infant mortality in Indiana's nonmetropolitan counties (r = -.38; P less than .02). CONCLUSIONS. Access to care for pregnant patients is a major problem in rural Indiana and hampers Indiana's ability to reduce its current infant mortality rate.     

2018年重庆市结直肠肛门癌疾病负担分析

目的 了解重庆市结直肠肛门癌疾病负担现状及特征,为开展结直肠肛门癌防治提供建议。 方法 收集分析2018年重庆市32个区县结直肠肛门癌个案资料(ICD-10:C18-C21),采用SPSS 25.0 统计分析发病率、死亡率、标化发病率与标化死亡率、伤残调整寿命年(disability-adjusted life years, DALYs)、早死所致的寿命损失年(years of life lost,YLLs)、残疾所致寿命年损失(years lived with disability,YLDs)等指标。不同地区与性别间发病率、死亡率的比较采用χ²检验。 结果 2018年重庆市结直肠肛门癌发病率与标化发病率分别为30.38/10万与19.17/10万,男性发病率(36.18/10万)高于女性(24.49/10万),差异有统计学意义(χ²=17.32,P<0.001)。城市发病率(32.97/10万)高于农村(29.24/10万),差异有统计学意义(χ²=5.09,P=0.024)。结直肠肛门癌死亡率与标化死亡率为13.84/10万与8.12/10万,死亡率男性(16.83/10万)高于女性(10.81/10万),差异有统计学意义(χ²=13.22,P<0.001),城市与农村死亡率差异无统计学意义(χ²=3.34,P=0.067)。结直肠肛门癌DALYs率为3.37人年/1 000,其中YLLs率与YLDs率分别为3.01人年/1 000与0.36人年/1 000。 结论 重庆市结直肠肛门癌发病率与疾病负担高于全国平均水平,应重视结直肠肛门癌的防治,提高结直肠肛门癌的早诊早治水平。     

Are There Enough Doctors in My Rural Community? Perceptions of the Local Physician Supply

ABSTRACT:  Purpose: To assess whether people in the rural Southeast perceive that there is an adequate number of physicians in their communities, assess how these perceptions relate to county physician-to-population (PtP) ratios, and identify other factors associated with the perception that there are enough local physicians. Methods: Adults (n = 4,879) from 150 rural counties in eight southeastern states responded through a telephone survey. Agreement or disagreement with the statement "I feel there are enough doctors in my community" constituted the principal outcome. Weighted chi-square analysis and a generalized estimating equation (GEE) assessed the strength of association between perceptions of an adequate physician workforce and county PtP ratios, individual characteristics, attitudes about and experiences with medical care, and other county characteristics. Findings: Forty-nine percent of respondents agreed there were enough doctors in their communities, 46% did not agree, and 5% were undecided. Respondents of counties with higher PtP ratios were only somewhat more likely to agree that there were enough local doctors (Pearson's correlation coefficient = 0.09, P < .001). Multivariate analyses revealed that perceiving that there were enough local physicians was more common among men, those 65 and older, whites, and those with lower regard for physician care. Perceptions that the local physician supply was inadequate were more common for those who had longer travel distances, problems with affordability, and little confidence in their physicians. Perceptions of physician shortages were more common in counties with higher poverty rates. Conclusions: County PtP ratios only partially account for rural perceptions that there are or are not enough local physicians. Perceptions of an adequate local physician workforce are also related to how much people value physicians' care and whether they face other barriers to care.     

Effects of physician supply on early detection of breast cancer

BACKGROUND: There are few studies examining the effects of physician supply on health-related outcomes. We hypothesized that increasing physician supply and, in particular, increasing primary care supply would be related to earlier detection of breast cancer. METHODS: Information on incident cases of breast cancer occurring in Florida in 1994 (n = 11,740) was collected from the state cancer registry. Measures of physician supply were obtained from the 1994 AMA Physician Masterfile. The effects of physician supply on the odds of late-stage diagnosis were examined using multiple logistic regression. RESULTS: There was no relation between overall physician supply and stage of breast cancer of diagnosis. Each 10th percentile increase in primary care physician supply, however, resulted in a 4% increase in the odds of early-stage diagnosis (adjusted odds ratio = 1.04, 95% confidence interval = 1.01-1.06). CONCLUSIONS: The supply of primary care physicians was significantly associated with earlier stage of breast cancer at diagnosis. This study suggests that an appropriate balance of primary care and specialty physician supply might be an important predictor of health outcomes.     

Regional differences in infant immunization against hepatitis B: did intervention work?

OBJECTIVE: The impact of a community intervention to establish hospital nursery policies for universal newborn immunization against hepatitis B was determined by comparing primary care physician immunization practices in two counties, one intervention and one control. METHODS: Surveys were mailed to 855 physicians in 1994; 322 of 533 respondents were eligible, with 155 from San Francisco (SF), the intervention county, and 167 from Sacramento (SAC), the control county. Adoption of universal hepatitis B immunization was defined as immunizing more than 90% of infants seen in 1993. RESULTS: Although similar proportions of physicians agreed, 79% in SF and 72% in SAC, 64% of SF physicians and 40% of SAC physicians adopted universal infant immunization (P < 0.0001). Universal immunization was greater for pediatricians than for family physicians (OR = 2.00, 95% CI 1.66-2.41) but less for physicians who perceived their patients population to be at low risk for hepatitis B compared to those who did not (OR = 0.60, 95% CI 0.45-0.79). While 94% of physicians in both counties indicated their willingness to provide the second and third doses of the hepatitis B vaccine if the first dose had been administered in the newborn nursery, 64% of SF in contrast to 30% of SAC physicians reported routine nursery administration of the vaccine (P < 0.0001). CONCLUSIONS: Primary care physician adoption of universal hepatitis B infant immunization and routine nursery administration of the first dose of the vaccine were both greater in San Francisco than in Sacramento, suggesting impact of a community intervention to increase hepatitis B immunization rates.     

Chronic cardiovascular disease mortality in mountaintop mining areas of central Appalachian states

Purpose: To determine if chronic cardiovascular disease (CVD) mortality rates are higher among residents of mountaintop mining (MTM) areas compared to mining and nonmining areas, and to examine the association between greater levels of MTM surface mining and CVD mortality. Methods: Age‐adjusted chronic CVD mortality rates from 1999 to 2006 for counties in 4 Appalachian states where MTM occurs (N = 404) were linked with county coal mining data. Three groups of counties were compared: MTM, coal mining but not MTM, and nonmining. Covariates included smoking rate, rural‐urban status, percent male population, primary care physician supply, obesity rate, diabetes rate, poverty rate, race/ethnicity rates, high school and college education rates, and Appalachian county. Linear regression analyses examined the association of mortality rates with mining in MTM areas and non‐MTM areas and the association of mortality with quantity of surface coal mined in MTM areas. Findings: Prior to covariate adjustment, chronic CVD mortality rates were significantly higher in both mining areas compared to nonmining areas and significantly highest in MTM areas. After adjustment, mortality rates in MTM areas remained significantly higher and increased as a function of greater levels of surface mining. Higher obesity and poverty rates and lower college education rates also significantly predicted CVD mortality overall and in rural counties. Conclusions: MTM activity is significantly associated with elevated chronic CVD mortality rates. Future research is necessary to examine the socioeconomic and environmental impacts of MTM on health to reduce health disparities in rural coal mining areas.     

Increasing incidence and mortality related to liver cancer in Australia: time to turn the tide

Objective : Assess national and jurisdictional incidence and mortality trends for primary liver cancer in Australia. Methods : Analysis of Australian Cancer Incidence and Mortality data published in 2017 by the AIHW. Age‐standardised rates (ASR) for 1982 to 2014/2015. Piecewise linear regression was used to assess temporal trends. For the purposes of comparison, data were also extracted for all cancers with greater burdens of disease (lung, colorectal, breast, prostate, pancreatic, and brain cancers and melanoma of the skin). Results : Since 1982, the average annual percentage change (AAPC) for ASR incidence of liver cancer was 4.858% (95%CI 4.558–5.563). This marked a 306% increase from 1.822/100,000 persons (95%CI 1.586–2.058) in 1982 to 7.396/100,000 persons (95%CI 7.069–7.723) in 2014. AAPC for ASR mortality was 3.013% (95%CI 2.448–3.521): an increase of 184% from 2.323/100,000 persons (95%CI 2.052–2.594) in 1982 to 6.593/100,000 (95%CI 6.290–6.896) in 2015. ASR incidence and mortality were highest in the NT (12.607/100,000 persons), VIC (8.229/100,000) and NSW (7.798/100,000). In comparison to the other selected cancers, higher AAPC for both incidence and mortality of liver cancer were observed. Conclusion : Incidence and mortality associated with liver cancer have increased substantially in the past three decades, in contrast to the improved outcomes observed for many other cancers. Jurisdictional incidence rates reflect higher prevalence of hepatitis B and C. Implications for public health : In the context of Australian cancer prevention and care programs, liver cancer is an outlier. Strategies to mitigate risk factors and improve surveillance of liver health for at‐risk groups are urgently required.     

Effects of community characteristics on young physicians' decisions regarding rural practice

The supply of physicians has increased rapidly during the past decade. To examine the impact of this expanding supply on the geographic distribution of physicians in rural areas, we examined the location patterns of 1974-78 medical school graduates practicing in 1983 in rural areas. Of 2,112 rural counties, 58 percent gained at least one 1974-78 graduate; 31 percent of the least populous rural counties gained physicians; and 92 percent of most populous counties gained physicians. When Health Manpower Shortage Areas were examined separately, it was found that only 45 percent of the HMSAs that consisted of an entire county gained a young physician compared with 61 percent of non-HMSA counties. Characteristics of counties that gained a young physician were compared with characteristics of counties that did not attract a young physician. Results of the multivariate analysis indicated that the probability that a county would attract a young physician is positively related to population, the supply of physicians, the proportion of white collar employment, and the presence of a college. Higher levels of farm population are associated with a lower probability that a county would attract a young physician. These findings suggest that diffusion of young physicians into rural areas is occurring as the supply of physicians increases. However, young physicians are attracted to communities with particular characteristics. Those counties with fewer attractive characteristics may continue to have difficulty gaining physicians to serve their communities.     

Mortality impact of an integrated community cardiovascular health program

BACKGROUND: Preventing cardiovascular disease through community interventions makes theoretical sense but has been difficult to demonstrate. We set out to determine whether a community cardiovascular health program had an impact on mortality. DESIGN: Program evaluation plus ecologic observational analysis of program encounters and mortality rates with external comparisons. SETTING: Franklin County and two comparison counties in rural Maine. PARTICIPANTS: Program encountered >50% of regional adults, broadly distributed by site, gender, and age.Interventions: From 1974 to 1994, a community program, integrated with primary medical care and staffed by professional nurses, provided education, screening, counseling, referral, tracking, and follow-up for cardiovascular risk factors. MAIN OUTCOME MEASURES: Age-adjusted mortality rates (total, heart, coronary, cerebrovascular, cancer) for three counties and Maine, plus annual program encounters. RESULTS: Relative to Maine, the Franklin heart disease death rate was 0.97 at baseline (1960-1969; 95% confidence interval, 0.91 to 1.03), 0.91 during the program (0.85 to 0.97), 0.83 during the 11 years of program growth (0.78 to 0.88), but 1.0 during the 10 years of decreasing encounters. Franklin's total death rate was 1.01 at baseline, 0.95 during the program (0.92 to 0.98), and 0.90 during program growth (0.86 to 0. 94). Results were similar for coronary disease, stroke, and cancer. Relative death rates did not fall in either comparison county. Nurse-client encounters totaled 120,280 over 21 years. Relative to Maine, heart disease death rates correlated inversely with program encounters (r = -0.53) but not with unemployment or physician supply. CONCLUSIONS: Integrated with primary medical care, a comprehensive, nurse-mediated community cardiovascular health program in rural Maine has been associated with significant time-dependent and dose-dependent reductions in cardiovascular and total mortality.     

Do Physicians Always Flee from HMOs? New Results Using Dynamic Panel Estimation Methods

OBJECTIVE: To assess the impact of changes in relative health maintenance organization (HMO) penetration on changes in the physician-to-population ratio in California counties when changes in the economic conditions in California counties relative to the U.S. average are taken into account. DATA SOURCES: Data on physicians who practiced in California at any time from 1988 to 1998 were obtained from the AMA Masterfile. The analysis was restricted to active, patient care physicians, excluding medical residents. Data on other covariates in the model were obtained from the Bureau of Economic Analysis, InterStudy, the Area Resource File, and the California state government. Data were merged using county FIPS codes. STUDY DESIGN: Changes in the physician-to-population ratio in California counties include the effects of both intrastate migration and interstate migration. A reduced-form model was estimated using the Arellano-Bond dynamic panel estimator. Economic conditions in California relative to the U.S. were measured as the ratio of county-level real per capita income to national-level real per capita income. Relative HMO penetration in California was measured as the ratio of county-level HMO penetration to HMO penetration in the U.S. relative HMO penetration was instrumented using five identifying variables to address potential endogeneity. Omitted-variable bias was controlled for by first differencing the model. The model also incorporated eight other covariates that may be associated with the demand for physicians: the percentage of the population enrolled in Medicaid, beds in short-term hospitals per 100,000 population, the percentage of the population that is black, the percentage of the population that is Hispanic, the percentage of the population that is Asian, the percentage of the population that is below age 18, the percentage of the population that is aged 65 and older, and the percentage of the population that are new legal immigrants in a given year. All of the above variables were lagged one period. The lagged physician-to-population ratio was also included to control for the supply of physicians. Separate equations were estimated for primary care physicians and specialist physicians. PRINCIPAL FINDINGS: Changes in lagged relative HMO penetration are negatively associated with changes in specialist physicians per 100,000 population. However, this effect of HMO penetration is attenuated and at times reversed in areas where the magnitude of the difference in relative economic conditions is sufficiently large. We did not find any statistically significant effects for primary care physicians. CONCLUSIONS: Consistent with prior studies, we find that changes in physician supply are associated with changes in relative HMO penetration. Relative economic conditions are an important moderator of the effect of changes in relative HMO penetration on physician migration.     

Effects of health insurance and race on colorectal cancer treatments and outcomes

OBJECTIVES: We hypothesized that health insurance payer and race might influence the care and outcomes of patients with colorectal cancer. METHODS: We examined treatments received for all incident cases of colorectal cancer occurring in Florida in 1994 (n = 9551), using state tumor registry data. We also estimated the adjusted risk of death (through 1997), using proportional hazards regression analysis controlling for other predictors of mortality. RESULTS: Treatments received by patients varied considerably according to their insurance payer. Among non-Medicare patients, those in the following groups had higher adjusted risks of death relative to commercial fee-for-service insurance: commercial HMO (risk ratio [RR] = 1.40; 95% confidence interval [CI] = 1.18, 1.67; P = .0001), Medicaid (RR = 1.44; 95% CI = 1.06, 1.97; P = .02), and uninsured (RR = 1.41; 95% CI = 1.12, 1.77; P = .003). Non-Hispanic African Americans had higher mortality rates (RR = 1.18; 95% CI = 1.01, 1.37; P = .04) than non-Hispanic Whites. CONCLUSIONS: Patients with colorectal cancer who were uninsured or insured by Medicaid or commercial HMOs had higher mortality rates than patients with commercial fee-for-service insurance. Mortality was also higher among non-Hispanic African American patients.     

Peer Reviewed: Physician Visits and Colorectal Cancer Testing Among Medicare Enrollees in North Carolina and South Carolina, 2005

Introduction

Many Medicare enrollees do not receive colorectal cancer tests at recommended intervals despite having Medicare screening coverage. Little is known about the physician visits of Medicare enrollees who are untested. Our study objective was to evaluate physician visits of enrollees who lack appropriate testing to identify opportunities to increase colorectal cancer testing.

Methods

We used North Carolina and South Carolina Medicare data to compare type and frequency of physician visits for Medicare enrollees with and without a colorectal cancer test in 2005. Type of physician visit was defined by the physician specialty as primary care, mixed specialty (more than 1 specialty, 1 of which was primary care), and nonprimary care. We used multivariate modeling to assess the influence of type and frequency of physician visits on colorectal cancer testing.

Results

Approximately half (46.5%) of enrollees lacked appropriate colorectal cancer testing. Among the untested group, 19.8% had no physician visits in 2005. Enrollees with primary care visits were more likely to be tested than those without a primary care visit. Many enrollees who had primary care visits remained untested. Enrollees with visits to all physician types had a greater likelihood of having colorectal cancer testing.

Conclusions

We identified 3 categories of Medicare enrollees without appropriate colorectal cancer testing: those with no visits, those who see primary care physicians only, and those with multiple visits to physicians with primary and nonprimary care specialties. Different strategies are needed for each category to increase colorectal cancer testing in the Medicare population.     

White infant mortality in Appalachian states, 1976-1980 and 1996-2000: changing patterns and persistent disparities

Purpose: Appalachian counties have historically had elevated infant mortality rates. Changes in infant mortality disparities over time in Appalachia are not well‐understood. This study explores spatial inequalities in white infant mortality rates over time in the 13 Appalachian states, comparing counties in Appalachia with non‐Appalachian counties. Methods: Data are analyzed for 1,100 counties in 13 Appalachian states that include 420 counties designated as Appalachian by the Appalachian Regional Commission. Area Resource File data for 1976‐1980 and 1996‐2000 provide county‐ and city‐level infant mortality rates, poverty rates, rural‐urban continuum codes, and numbers of physicians per 1,000 residents. Multiple regression analyses evaluate whether Appalachian counties are significantly associated with elevated white infant mortality in each time period, accounting for covariates. Findings: White infant mortality rates decreased substantially in all sub‐regions over the last 2 decades; however, disparities in infant mortality did not diminish in Appalachian counties compared to non‐Appalachian counties. After accounting for poverty, rural/urban status, and health care resources, Appalachian counties were significantly associated with comparatively higher infant mortality during the late 1970s but not in the late 1990s. At the more recent time point, higher poverty rates, residence in more rural areas, and lower physician density were associated with greater infant mortality risk. Conclusion: Appalachian counties continue to experience relatively elevated infant mortality rates. Poverty and rurality remain important dimensions of health service need in Appalachia.