Safety-net institutions buffer the impact of Medicaid managed care: a multi-method assessment in a rural state

OBJECTIVES: This project used a long-term, multi-method approach to study the impact of Medicaid managed care. METHODS: Survey techniques measured impacts on individuals, and ethnographic methods assessed effects on safety-net providers in New Mexico. RESULTS: After the first year of Medicaid managed care, uninsured adults reported less access and use (odds ratio [OR] = 0.46; 95% confidence interval [CI] = 0.34, 0.64) and worse barriers to care (OR = 6.60; 95% CI = 3.95, 11.54) than adults in other insurance categories. Medicaid children experienced greater access and use (OR = 2.11; 95% CI = 1.21, 3.72) and greater communication and satisfaction (OR = 3.64; 95% CI = 1.13, 12.54) than children in other insurance categories; uninsured children encountered greater barriers to care (OR = 6.29; 95% CI = 1.58, 42.21). There were no consistent changes in the major outcome variables over the period of transition to Medicaid managed care. Safety-net institutions experienced marked increases in workload and financial stress, especially in rural areas. Availability of mental health services declined sharply. Providers worked to buffer the impact of Medicaid managed care for patients. CONCLUSIONS: In its first year, Medicaid managed care exerted major effects on safety-net providers but relatively few measurable effects on individuals. This reform did not address the problems of the uninsured.     

Physician Assistants and Nurse Practitioners as a Usual Source of Care

ABSTRACT:  Purpose: To identify characteristics and outcomes of patients who use physician assistants and nurse practitioners (PA/NPs) as a usual source of care. Methods: Cross sectional analysis using the telephone and mail surveys of the Wisconsin Longitudinal Study (WLS), a prospective cohort study of Wisconsin high school graduates and selected siblings (n = 6,803). Findings: Individuals from metropolitan (OR = 0.40, 95% CI = 0.29-0.54) and micropolitan (OR = 0.65, 95% CI = 0.44-0.95) areas were less likely to utilize PA/NPs than participants from rural locations. Participants without insurance or with public insurance other than Medicare were more likely than those with private insurance to utilize PA/NPs (OR = 1.71, 95% CI = 1.02-2.86). Patients of PA/NPs were more likely to be women (OR = 1.77, 95% CI = 1.34-2.34), younger (OR = 0.95, 95% CI = 0.92-0.98) and have lower extroversion scores (OR = 0.81, 95% CI = 0.68-0.96). Participants utilizing PA/NPs reported lower perceived access (β=−0.22, 95% CI =−0.35-0.09) than those utilizing doctors. PA/NP utilization was associated with an increased likelihood of chiropractor visits (OR = 1.57, 95% CI = 1.15-2.15) and decreased likelihood of a complete health exams (OR = 0.74, 95% CI = 0.55-0.99) or mammograms (OR = 0.65, 95% CI = 0.45-0.93). There were no significant differences in self-rated health or difficulties/delays in receiving care. Conclusions: Populations served by PA/NPs and doctors differ demographically but not in complexity. Though perceived access to care was lower for patients of PA/NPs, there were few differences in utilization and no differences in difficulties/delays in care or outcomes. This suggests that PA/NPs are acting as primary care providers to underserved patients with a range of disease severity, findings which have important implications for policy, including clinician workforce and reimbursement issues.     

Variations in healthcare measures by insurance status for patients receiving ventilator support

OBJECTIVE: To examine differences in healthcare delivery by expected health insurance status for hospitalized patients in diagnosis-related group (DRG) 475, respiratory system diagnoses requiring intubation and continuous ventilator support. DESIGN: A survey, derived from the Healthcare Cost and Utilization Project interstate database, of the care delivered to 21,149 adult patients in DRG 475 and hospitalized in one of 718 acute-care hospitals in nine states. Multivariate analysis was performed, controlling for demographic and hospital factors. RESULTS: Patients insured by health maintenance organizations (HMOs) had significantly lower rates of inpatient mortality (odds ratio [OR], 0.84; 95% confidence interval [CI95], 0.73-0.96), 14.3 more procedures performed (CI95, 11.5-17.2), 7.0% shorter hospitalizations (CI95, 12.5-1.6), and 5.2% higher charges (CI95, 0.4-10.0) than those with traditional private insurance. In addition, patients insured by Medicaid had 3.5% more procedures performed (CI95, 1.6-5.4), 10.4% longer lengths of hospitalization (CI95, 6.7-14.0), and 13.8% higher charges (CI95, 10.6-17.0) than those with traditional private insurance. Finally, the uninsured had significantly lower rates of inpatient mortality (OR, 0.87; CI95, 0.77-0.99), 8.5% more procedures performed (CI95, 6.0-11.1), 16.5% shorter hospitalizations (CI95, 21.5-11.6), and 13.4% lower charges (CI95, 17.8-9.0) than those with traditional private insurance. CONCLUSION: Variations in healthcare measures by insurance status for this DRG emphasize the importance of more careful analyses of insurance categories as a determinant of healthcare access and outcomes. Expected insurance status was an independent predictor of cost. Private insurance and HMO populations differed significantly in outcome and cannot be considered equivalent.     

Generational Status,Health Insurance,and Public Benefit Participation Among Low-Income Latino Children

The objectives of this study were to (1) measure health insurance coverage and continuity across generational subgroups of Latino children, and (2) determine if participation in public benefit programs is associated with increased health insurance coverage and continuity. We analyzed data on 25,388 children income-eligible for public insurance from the 2003 to 2004 National Survey of Children’s Health and stratified Latinos by generational status. First- and second-generation Latino children were more likely to be uninsured (58 and 19%, respectively) than third-generation children (9.5%). Second-generation Latino children were similarly likely to be currently insured by public insurance as third-generation children (61 and 62%, respectively), but less likely to have private insurance (19 and 29%, respectively). Second-generation Latino children were slightly more likely than third-generation children to have discontinuous insurance during the year (19 and 15%, respectively). Compared with children in families where English was the primary home language, children in families where English was not the primary home language had higher odds of being uninsured versus having continuous insurance coverage (OR: 2.19; 95% CI [1.33–3.62]). Among second-generation Latino children, participation in the Food Stamp (OR 0.26; 95% CI [0.14–0.48]) or Women, Infants, and Children (OR 0.40; 95% CI [0.25–0.66]) programs was associated with reduced odds of being uninsured. Insurance disparities are concentrated among first- and second-generation Latino children. For second-generation Latino children, connection to other public benefit programs may promote enrollment in public insurance.     

Children’s Receipt of Health Care Services and Family Health Insurance Patterns

PURPOSE Insured children in the United States have better access to health care services; less is known about how parental coverage affects children’s access to care. We examined the association between parent-child health insurance coverage patterns and children’s access to health care and preventive counseling services.METHODS We conducted secondary analyses of nationally representative, cross-sectional, pooled 2002–2006 data from children (n = 43,509), aged 2 to 17 years, in households responding to the Medical Expenditure Panel Survey (MEPS). We assessed 9 outcome measures pertaining to children’s unmet health care and preventive counseling needs.RESULTS Cross-sectionally, among US children (aged 2 to 17 years) living with at least 1 parent, 73.6% were insured with insured parents, 8.0% were uninsured with uninsured parents, and the remaining 18.4% had discordant family insurance coverage patterns. In multivariable analyses, insured children with uninsured parents had higher odds of an insurance coverage gap (odds ratio [OR] = 2.45; 95% confidence interval [CI], 2.02–2.97), no usual source of care (OR = 1.31; 95% CI, 1.10–1.56), unmet health care needs (OR = 1.11; 95% CI, 1.01–1.22), and having never received at least 1 preventive counseling service (OR = 1.20; 95% CI, 1.04–1.39) when compared with insured children with insured parents. Insured children with mixed parental insurance coverage had similar vulnerabilities.CONCLUSIONS Uninsured children had the highest rates of unmet needs overall, with fewer differences based on parental insurance status. For insured children, having uninsured parents was associated with higher odds of going without necessary services when compared with having insured parents.     

Colon cancer screening in the ambulatory setting

BACKGROUND: Despite evidence of decreased mortality, recommendations for colon cancer screening have not been widely implemented by physicians. The objective of this study was to determine patient and clinician factors associated with screening for colon cancer. METHODS: A retrospective review of computerized medical records from primary care practices in an academic medical center was performed. Patients comprised men and women aged 50-74 with at least one visit between July 1, 1995 and June 30, 1997. Measurements included Fecal occult blood testing in the past 1 or 2 years, sigmoidoscopy in the previous 5 or 10 years, or colonoscopy in the past 10 years. RESULTS: A total of 6,039 patients were included in the analysis. Fecal occult blood testing had been performed in 44% of patients and sigmoidoscopy in 26%. Fifty-three percent of patients had undergone some type of colon cancer screening. In multivariate analysis, patient factors predictive of fecal occult blood testing included age (odds ratio (OR) per 5 years 1.05; 95% confidence interval 1.04, 1.06), Asian ethnicity (OR 1.23; 1.08, 1.41), number of visits during the study period (OR 1.05; 1.04, 1.06), recency of the last visit (OR 1.03; 1.02, 1.04), and having private insurance (OR 1.65; 1.04, 2.62). Predictors of sigmoidoscopy were similar except that patients with a family history of colon cancer and those with managed care insurance were also more likely to undergo sigmoidoscopy. Patients of nurse practitioners were less likely to receive fecal occult blood testing than were patients of physicians (OR 0.78; 0.65, 0.93). Patients of residents were less likely to undergo sigmoidoscopy than were patients of faculty (OR 0.79; 0.66, 0.94). CONCLUSIONS: Among patients seen in primary care practices, rates of colon cancer screening remain low, especially in patients who are younger, who have been seen less frequently, who are uninsured, or who do not have managed care insurance. Future research should explore these differences and should focus on increasing screening in all patient groups, especially in those who are underscreened.     

Early influenza vaccination rates decline in children during the COVID-19 pandemic

BackgroundThis investigation sought to determine whether early season rates of pediatric influenza vaccination changed in a season when there was a concurrent COVID-19 pandemic.MethodsThis study used cohort and cross sectional data from an academic primary care division in Southcentral Pennsylvania that serves approximately 17,500 patients across 4 practice sites. Early season (prior to November 1) vaccination rates in 2018, 2019 and 2020 were recorded for children, age 6 months to 17 years. To explore the impact of COVID-19 on vaccination, we fit a model with a logit link (estimated via generalized estimating equations to account for clustering by patient over time) on calendar year, adjusted for race, ethnicity, age, and insurance type. We examined interaction effects of demographic covariates with calendar year.ResultsEarly vaccination rates were lower in 2020 (29.7%) compared with 2018 and 2019 (34.2% and 33.3%). After adjusting for covariates and accounting for clustering over time, the odds of early vaccination in 2020 were 19% lower compared to 2018 (OR 0.81, 95% CI: 0.78–0.85). In 2020, children with private insurance were more likely to receive early vaccination than in 2018 (OR 1.51, 95% CI: 1.04–1.15), whereas children with public insurance were less likely to receive early vaccination in 2020 than in 2018 (OR 0.62, 95% CI: 1.38–1.65).ConclusionsEarly influenza vaccination rates declined in a year with a concurrent COVID-19 pandemic. Modeling that accounts for individual trends and demographic variables identified specific populations with lower odds of early vaccination in 2020. Additional research is needed to investigate whether the COVID-19 pandemic impacted parental intent to obtain the influenza vaccine, or introduced barriers to healthcare access.     

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.     

Tobacco cessation counseling among underserved patients: a report from CaReNet

OBJECTIVES: The purpose of our study was to determine the frequency of smoking cessation counseling in relation to insurance status in a practice-based research network. STUDY DESIGN: We administered a modified National Ambulatory Medical Care Survey (NAMCS), with an additional payment category to identify uninsured patients, quarterly to 100 random patients at each practice site for 1 year. POPULATION: The study population included the patients at the 7 practices within the Colorado Research Network (CaReNet), associated with the Department of Family Medicine, University of Colorado Health Science Center. OUTCOMES MEASURED: We measured the prevalence of smoking and the frequency of cessation counseling. RESULTS: Of 2773 visits analyzed, 1443 were made by adults who were either was uninsured (39%), had Medicaid (22%), or had private or a health maintenance organization insurance (private/HMO; 40%). Smoking prevalence was significantly greater in uninsured patients (30%) and Medicaid patients (31%), compared with private/HMO patients (22%) (P =.008). However, those smokers with private/HMO insurance were more likely to receive tobacco counseling (50%) than Medicaid (41%) and uninsured (25%) patients (P <.001). After controlling for potential confounders, this difference remained significant. CONCLUSIONS: Although smoking is more common among Medicaid and uninsured patients, these smokers are less likely to receive counseling. Possible explanations for this disparity include lack of access to cessation interventions or lower quality of care for underserved patients. This finding may have implications for achieving national public health goals on smoking cessation.     

Social disadvantage: its impact on the use of Medicare services related to diabetes in NSW

OBJECTIVE: To use Medicare data to examine the impact of social disadvantage on the use of health services related to diabetes. METHOD: Information on number of diabetic individuals and number of services for select Medicare item codes were retrieved by New South Wales postcodes using a Health Insurance Commission data file. The postcodes were graded into quintiles of social disadvantage. RESULTS: People at most social disadvantage were significantly less likely to be under the care of a general practitioner (adjusted OR 0.41; 95% CI 0.40-0.41) or consultant physician (adjusted OR 0.50; 95% CI 0.48-0.53), despite this group having the highest prevalence of diabetes. The difference in attendance to other specialists was less marked but nevertheless significant (adjusted OR 0.71; 95% CI 0.68-0.75). Once under a doctor's care, patients at most disadvantage were slightly more likely to undergo HbA1c or microalbuminuria estimation (adjusted OR 1.04; 95% CI 1.00-1.10 and adjusted OR 1.22; 95% CI 1.12-1.33, respectively) but were less likely to undergo lipid or HDL cholesterol estimation (adjusted OR 0.81; 95% CI 0.48-0.53 and adjusted OR 0.85; 95% CI 0.79-0.90, respectively). CONCLUSION: While access to medical care is decreased for people at most social disadvantage, once under a doctor's care they receive a level of monitoring that is relatively equal to that provided to people less disadvantaged. IMPLICATION: Strategies are required to ensure equal access to medical services for all persons with diabetes, especially for persons who are at most social and medical disadvantage.     

Social disadvantage: Its impact on the use of Medicare services related to diabetes in NSW

Objective: To use Medicare data to examine the impact of social disadvantage on the use of health services related to diabetes.
Method: Information on number of diabetic individuals and number of services for select Medicare item codes were retrieved by New South Wales postcodes using a Health Insurance Commission data file. The postcodes were graded into quintiles of social disadvantage.
Results: People at most social disadvantage were significantly less likely to be under the care of a general practitioner (adjusted OR 0.41; 95% CI 0.40–0.41) or consultant physician (adjusted OR 0.50; 95% CI 0.48–0.53), despite this group having the highest prevalence of diabetes. The difference in attendance to other specialists was less marked but nevertheless significant (adjusted OR 0.71; 95% CI 0.68–0.75). Once under a doctor's care, patients at most disadvantage were slightly more likely to undergo HbA1c or microalbuminuria estimation (adjusted OR 1.04; 95% CI 1.00–1.10 and adjusted OR 1.22; 95% CI 1.12–1.33, respectively) but were less likely to undergo lipid or HDL cholesterol estimation (adjusted OR 0.81; 95% CI 0.48–0.53 and adjusted OR 0.85; 95% CI 0.79–0.90, respectively).
Conclusion: While access to medical care is decreased for people at most social disadvantage, once under a doctor's care they receive a level of monitoring that is relatively equal to that provided to people less disadvantaged.
Implication: Strategies are required to ensure equal access to medical services for all persons with diabetes, especially for persons who are at most social and medical disadvantage.     

Disparity of risk-adjusted inpatient outcomes among African American and white patients hospitalized with community-acquired pneumonia

The objectives of this study were to examine the associations between inpatient pneumonia outcomes, health care factors, and sociodemographics with an emphasis on race. African American and white patients from the 2008 National Hospital Discharge Survey who were admitted to nonprofit and for-profit hospitals with a principal diagnosis of pneumonia were sampled (n=1924). Three outcomes were measured: length of hospital stay, discharge to home, and deceased at discharge. Length of hospital stay was measured with negative binomial regression including incidence rate ratios (IRRs), while the remaining 2 outcomes were measured with logistic regression including odds ratios (ORs). Patients with longer hospital stays relative to peers were likely older (IRR=1.01, 95% confidence interval [CI]=1.01-1.01, P<0.001) and African American (IRR=1.19, 95% CI=1.10-1.30, P<0.001), but had fewer comorbidities (IRR=0.97, 95% CI=0.94-0.99, P=0.016). Patients were less likely to be discharged to home if they were older (OR=0.96, 95% CI=0.95-0.96, P<0.001), African American (OR=0.68, 95% CI=0.52-0.90, P=0.006), and had government insurance (OR=0.59, 95% CI=0.44-0.79, P<0.001). Patients deceased at discharge were more likely to be older (OR=1.03, 95% CI=1.01-1.05, P=0.001), African American (OR=1.97, 95% CI=1.10-3.53, P=0.023), and to have fewer comorbidities (OR=0.71, 95% CI=0.57-0.88, P=0.002). African Americans with pneumonia experience inequitable inpatient pneumonia-related outcomes relative to whites. Hospital interventions addressing equity are needed.     

Healthcare Providers’ Satisfaction with a State Children’s Health Insurance Program (SCHIP)

Purpose This study’s purpose was to understand how experiences with and perceptions of the health care plan characteristics influence provider satisfaction with a State Children’s Health Insurance Program (SCHIP). Methods Physicians and other health care providers participating in one program (ALL Kids) were mailed a survey (n = 500). Pediatricians were the most likely to return the survey. We used frequencies, chi-square and logistic regression analysis to explore relationships. Results The odds of being less satisfied with the program among providers who perceived that reimbursement in the ALL Kids program was less compared to private insurance were almost 7 times (OR = 6.81; 95% CI = (1.88–24.73)) greater than for those who perceived that reimbursement was more or the same in ALL Kids. Likewise, respondents who perceived that All Kids families were less likely than families with private insurance to return for follow-up visits were less satisfied with ALL Kids (OR = 17.42; 95% CI = (1.85–164.70)). Conclusions The stigma of SCHIP may be less than that often associated with Medicaid; however, this investigation should be considered with others that have identified barriers for provider’s participation. This study indicates that provider satisfaction is related to their perceptions of SCHIP policies and families, though it does not tell us what factors might contribute to this perception, such as, previous experience with public insurance (Medicaid) and publicly insured patients. Increasing reimbursement rates may not address perceptions that affect provider views of publicly-supported health plans and the participating families.     

Insurance or a regular physician: which is the most powerful predictor of health care?

OBJECTIVES: This study compared the relative effects on access to health care of relationship with a regular physician and insurance status. METHODS: The subjects were 1952 nonretired, non-Medicare patients aged 18 to 64 years who presented with 1 of 6 chief complaints to 5 academic hospital emergency departments in Boston and Cambridge, Mass, during a 1-month study period in 1995. Access to care was evaluated by 3 measures: delay in seeking care for the current complaint, no physician visit in the previous year, and no emergency department visit in the previous year. RESULTS: After clinical and socioeconomic characteristics were controlled, lacking a regular physician was a stronger, more consistent predictor than insurance status of delay in seeking care (odds ratio [OR] = 1.6, 95% confidence interval [CI] = 1.2, 2.1), no physician visit [OR] = 4.5%, 95% CI = 3.3, 6.1), and no emergency department visit (OR = 1.8, 95% CI = 1.4, 2.4). For patients with a regular physician, access was no different between the uninsured and the privately insured. For privately insured patients, those with no regular physician had worse access than those with a regular physician. CONCLUSIONS: Among patients presenting to emergency departments, relationship with a regular physician is a stronger predictor than insurance status of access to care.     

The association between health insurance coverage and diabetes care; data from the 2000 Behavioral Risk Factor Surveillance System

OBJECTIVE: To describe the association between type of health insurance coverage and the quality of care provided to individuals with diabetes in the United States. DATA SOURCE: The 2000 Behavioral Risk Factor Surveillance System. STUDY DESIGN: Our study cohort included individuals who reported a diagnosis of diabetes (n=11,647). We performed bivariate and multivariate logistic regression analyses by age greater or less than 65 years to examine the association of health insurance coverage with diabetes-specific quality of care measures, controlling for the effects of race/ethnicity, annual income, gender, education, and insulin use. PRINCIPAL FINDINGS: Most individuals with diabetes are covered by private insurance (39 percent) or Medicare (44 percent). Among persons under the age of 65 years, 11 percent were uninsured. The uninsured were more likely to be African American or Hispanic and report low incomes. The uninsured were less likely to report annual dilated eye exams, foot examinations, or hemoglobin A1c (HbA1c) tests and less likely to perform daily blood glucose monitoring than those with private health insurance. We found few differences in quality indicators between Medicare, Medicaid, or the Department of Veterans Affairs (VA) as compared with private insurance coverage. Persons who received care through the VA were more likely to report taking a diabetes education class and HbA1c testing than those covered by private insurance. CONCLUSIONS: Uninsured adults with diabetes are predominantly minority and low income and receive fewer preventive services than individuals with health insurance. Among the insured, different types of health insurance coverage appear to provide similar levels of care, except for higher rates of diabetes education and HbA1c testing at the VA.     

The influence of payer mix on electronic health record adoption by physicians

BACKGROUND: Numerous studies have examined the relationship between physician practice characteristics and electronic health record (EHR) adoption. Little is known about how payer mix influences physicians' decisions to implement EHR systems. PURPOSE: This study examines how different proportions of Medicare, Medicaid, and privately insured patients in physicians' practices influence EHR adoption. METHODOLOGY: Data from a large-scale survey of physician's use of information technologies in Florida were analyzed. Physicians were categorized based on their responses to questions regarding the proportion of patients in their practice that use Medicare, Medicaid, or private insurance products. The binary dependent variable of interest was EHR adoption among physicians. Adjusted odds ratios (ORs) were computed using logistic regression modeling techniques. The model examined the effect of changes in each payer type on EHR adoption, controlling for various practice characteristics. FINDINGS: Physicians with the highest percentage of Medicaid patients in their practices were significantly less likely to indicate using an EHR system when compared with those in the low-volume Medicaid group (OR = 0.690; 95% confidence interval [CI] = 0.50-0.95). No differences in EHR adoption were detected among physicians in the low, median, and high Medicare volume classifications. Among the private payer classifications, physicians whose practices were in the median group indicated significantly greater EHR use than those with relatively low levels of privately insured patients (OR = 1.62; 95% CI = 1.16-2.27). Those in the high-volume private payer group were also more likely than the low-volume group to have an EHR system, but this trend did not reach statistical significance (OR = 1.44; 95% CI = 0.96-2.16). PRACTICE IMPLICATIONS: Governmental insurance programs are either not influencing or negatively influencing EHR adoption among physicians in Florida. Given the quality and cost benefits associated with EHR use (particularly for health care payers), policymakers should consider strategies to incentivize or reward EHR adoption among doctors who care for Medicare and Medicaid patients.     

Internet use for prediagnosis symptom appraisal by colorectal cancer patients

Background. This study explored the characteristics of colorectal cancer (CRC) patients who accessed Internet-based health information as part of their symptom appraisal process prior to consulting a health care provider. Method. Newly diagnosed CRC patients who experienced symptoms prior to diagnosis were interviewed. Brief COPE was used to measure patient coping. Logistic and linear regressions were used to assess Internet use and appraisal delay. Results. Twenty-five percent of the sample (61/242) consulted the Internet prior to visiting a health care provider. Internet use was associated with having private health insurance (odds ratio [OR] = 2.55; 95% confidence interval [CI] = 1.20-5.43) and experiencing elimination symptoms (OR = 1.43; 95% CI = 1.14-1.80) and was marginally associated with age (OR = 0.96; 95% CI = 0.93-0.99). Internet use was not related to delayed medical care seeking. Conclusion. Internet use did not influence decisions to seek medical care. The Internet provided a preliminary information resource for individuals who experienced embarrassing CRC symptoms, had private health insurance, and were younger.     

Use of preventive care by the working poor in the United States

OBJECTIVE: Examine the association between poverty and preventive care use among older working adults. METHOD: Cross-sectional analysis of the pooled 1996, 1998 and 2000 waves of the Health and Retirement Study, a nationally representative sample of older community-dwelling adults, studying self-reported use of cervical, breast, and prostate cancer screening, as well as serum cholesterol screening and influenza vaccination. Adults with incomes within 200% of the federal poverty level were defined as poor. RESULTS: Among 10,088 older working adults, overall preventive care use ranged from 38% (influenza vaccination) to 76% (breast cancer screening). In unadjusted analyses, the working poor were significantly less likely to receive preventive care. After adjustment for insurance coverage, education, and other socio-demographic characteristics, the working poor remained significantly less likely to receive breast cancer (RR 0.92, 95% CI, 0.86-0.96), prostate cancer (RR 0.89, 95% CI, 0.81-0.97), and cholesterol screening (RR 0.91, 95% CI, 0.86-0.96) than the working non-poor, but were not significantly less likely to receive cervical cancer screening (RR 0.96, 95% CI, 0.90-1.01) or influenza vaccination (RR 0.92, 95% CI, 0.84-1.01). CONCLUSION: The older working poor are at modestly increased risk for not receiving preventive care.     

The impact of fee-for-service and managed care insurance on access to cardiac care in Maryland

Cardiovascular disease is one of the leading causes of death in the United States. The treatment of acute myocardial infarction (AMI) provides a useful model for studying the impact of fee-for-service and HMO insurance on access to cardiac care. Prior studies provide evidence in support of a disparity in access to cardiac care by insurance type, but no other study has examined the impact of insurance type in a regulated hospital industry. This study is unique because it explores the impact of a regulatory approach that is supplemented by the workings of a competitive market on access to cardiac care for AMI patients. After controlling for age, sex, and race, it was observed that HMO AMI patients were less likely to receive cardiac catheterizations (OR = 0.827 at the 95 percent confidence level) and CABG surgery (OR = 0.852 at 95 percent confidence level) when compared to FFS AMI patients. HMO AMI patients were slightly more likely to receive a PTCA cardiac procedure (OR = 1.067 at the 95 percent confidence level) than FFS AMI patients.     

Telephone screening for hazardous drinking among injured patients seen in acute care clinics: feasibility study

AIMS: We evaluated the effectiveness of telephoning injured patients after discharge, compared with contacting them in the clinic during the acute care visit, for screening for hazardous drinking and eliciting willingness to participate in a lifestyle intervention trial. METHODS: We conducted a quasi-randomized controlled trial among acutely injured adult patients in trauma and acute care clinics, assigning telephone and clinic screening strategies systematically by week. During telephone weeks, we mailed study information to patients identified from computerized records, then telephoned them. During clinic weeks, researchers recruited patients awaiting care. We screened for hazardous drinking using the AUDIT-C (Alcohol Use Disorders Identification Test-C). We examined the proportion of all injured adult patients who were screened, the proportion of screened patients with hazardous drinking (AUDIT-C score >or=4), and the proportion willing to participate in a (hypothetical) lifestyle intervention trial. Differences were analysed with non-linear mixed models using generalized estimating equations, controlling for age, sex, and facility. Levers and barriers to screening were explored through structured interviews with research staff. RESULTS: We enrolled 29% (469/1,609) of all injured adult patients and 76% of injured patients contacted and found to be eligible. Of screened patients, 23.1% screened positive for hazardous drinking. Telephone and clinic contact were equally effective for screening patients (OR = 1.05; 95% CI = 0.59-1.87), identifying hazardous drinking (OR=0.97; 95% CI = 0.54-1.74), and eliciting willingness to participate in an intervention trial (OR=1.49; 95% CI = 0.97-2.30). Clinic site modified results: telephone was more effective than clinic contact for screening urban patients (OR=1.99; 95% CI = 1.36-2.93), but less effective for screening suburban patients (OR = 0.70; 95% CI = 0.69-0.71). Barriers to clinic screening included lack of clinic staff support, time constraints, and difficulty recruiting elderly or acutely distressed patients. Barriers to telephone screening included erroneous contact information and failure to answer the telephone. CONCLUSIONS: Telephone screening is a feasible and efficient method for screening moderately injured adult patients for hazardous drinking, but characteristics of the clinical site (including personnel) influence its effectiveness. Trauma and acute care clinics are likely to be fruitful sites for identification of patients with hazardous drinking, whether for enrollment into brief intervention trials or treatment programmes.