Impact of patient socioeconomic status on physician profiles: a comparison of census-derived and individual measures

The impact of COVID-19 on racial and ethnic disparities in presentation with perforated appendicitis in children: A retrospective cohort study

Background

Children from racial and ethnic minority groups have higher prevalence of perforated appendicitis, and the COVID-19 pandemic worsened racial and ethnic health-related disparities. We hypothesized that the incidence of perforated appendicitis worsened for children from racial and ethnic minorities during the COVID-19 pandemic.

Methods

We performed a retrospective cohort study of the Pediatric Health Information System for children ages 2-18y undergoing appendectomy pre-pandemic (3/19/2019-3/18/2020) and intra-pandemic (3/19/2020-3/30/2021). The primary outcome was presentation with perforated appendicitis. Multivariable logistic regression with mixed effects estimated the likelihood of presentation with perforated appendicitis. Covariates included race, ethnicity, pandemic status, Child Opportunity Index, gender, insurance, age, and hospital region.

Results

Overall, 33,727 children underwent appendectomy: 16,048 (47.6 %) were Non-Hispanic White, 12,709 (37.7 %) were Hispanic, 2261 (6.7 %) were Non-Hispanic Black, 960 (2.8 %) were Asian, and 1749 (5.2 %) Other. Overall perforated appendicitis rates were unchanged during the pandemic (37.4 % intra-pandemic, 36.4 % pre-pandemic, p = 0.06). Hispanic children were more likely to present with perforated appendicitis intra-pandemic versus pre-pandemic (OR 1.18, 95%CI: 1.07, 1.13). Hispanic children had higher odds of perforated appendicitis versus Non-Hispanic White children pre-pandemic (OR 1.10, 95%CI: 1.00, 1.20) which increased intra-pandemic (OR 1.19, 95%CI: 1.09, 1.30). Publicly-insured children had increased odds of perforated appendicitis intra-pandemic versus pre-pandemic (OR 1.14, 95%CI: 1.03, 1.25), and had increased odds of perforated appendicitis versus privately-insured children (intra-pandemic OR 1.26, 95%CI: 1.16, 1.36; pre-pandemic OR 1.12, 95%CI: 1.04, 1.22).

Conclusions

During the COVID-19 pandemic, Hispanic and publicly-insured children were more likely to present with perforated appendicitis, suggesting that the pandemic exacerbated existing disparities in healthcare for children with appendicitis.

Key message

We found that Hispanic children and children with public insurance were more likely to present with perforated appendicitis during the COVID-19 pandemic. Public health efforts aimed at ameliorating racial and ethnic disparities created during the COVID-19 pandemic should consider increasing healthcare access for Hispanic children to address bias, racism, and systemic barriers that may prevent families from seeking care.

Utilization of Total Joint Arthroplasty by Rural-Urban Designation in Patients With Osteoarthritis in a Universal Coverage System

BACKGROUND

Utilization of total joint arthroplasty (TJA) is affected by differences linked to sex, race, and socioeconomic status; there is little information about how geographic variation contributes to these differences. We sought to determine whether discrepancies in TJA utilization exist in patients diagnosed with osteoarthritis (OA) based upon urban-rural designation in a universal coverage system.

METHODS

We conducted a cohort study using data from a US-integrated healthcare system (2015 to 2019). Patients aged ≥50 years who had a diagnosis of hip or knee OA were included. Total hip arthroplasty and total knee arthroplasty utilization (in respective OA cohorts) was evaluated by urban-rural designation (urban, mid, and rural). Incidence rate ratios (IRRs) for urban-rural regions were modeled using multivariable Poisson regressions.

RESULTS

The study cohort included 93,642 patients who have hip OA and 275,967 patients who had knee OA. In adjusted analysis, utilization of primary total hip arthroplasty was lower in patients living in urban areas (IRR = 0.87, 95% confidence interval = 0.81 to 0.94) compared to patients in rural regions. Similarly, total knee arthroplasty was used at a lower rate in urban areas (IRR = 0.88, 95% confidence interval = 0.82 to 0.95) compared with rural regions. We found no differences in the hip and knee groups within the mid-region.

CONCLUSIONS

In hip and knee OA patients enrolled in a universal coverage system, we found patients living in urban areas had lower TJA utilization compared to patients living in rural areas. Further research is needed to determine how patient location contributes to differences in elective TJA utilization.

LEVEL OF EVIDENCE

III.

Potentially More Out of Reach: Public Reporting Exacerbates Inequities in Home Health Access

Policy Points Public reporting is associated with both mitigating and exacerbating inequities in high-quality home health agency use for marginalized groups. Ensuring equitable access to home health requires taking a closer look at potentially inequitable policies to ensure that these policies are not inadvertently exacerbating disparities as home health public reporting potentially does. Targeted federal, state, and local interventions should focus on raising awareness about the five-star quality ratings among marginalized populations for whom inequities have been exacerbated.

CONTEXT

Literature suggests that public reporting of quality may have the unintended consequence of exacerbating disparities in access to high-quality, long-term care for older adults. The objective of this study is to evaluate the impact of the home health five-star ratings on changes in high-quality home health agency use by race, ethnicity, income status, and place-based factors.

METHODS

We use data from the Outcome and Assessment Information Set, Medicare Enrollment Files, Care Compare, and American Community Survey to estimate differential access to high-quality home health agencies between July 2014 and June 2017. To estimate the impact of the home health five-star rating introduction on the use of high-quality home health agencies, we use a longitudinal observational pretest-posttest design.

FINDINGS

After the introduction of the home health five-star ratings in 2016, we found that adjusted rates of high-quality home health agency use increased for all home health patients, except for Hispanic/Latine and Asian American/Pacific Islander patients. Additionally, we found that the disparity in high-quality home health agency use between low-income and higher-income home health patients was exacerbated after the introduction of the five-star quality ratings. We also observed that patients within predominantly Hispanic/Latine neighborhoods had a significant decrease in their use of high-quality home health agencies, whereas patients in predominantly White and integrated neighborhoods had a significant increase in high-quality home health agency use. Other neighborhoods experience a nonsignificant change in high-quality home health agency use.

CONCLUSIONS

Policymakers should be aware of the potential unintended consequences for implementing home health public reporting, specifically for Hispanic/Latine, Asian American/Pacific Islander, and low-income home health patients, as well as patients residing in predominantly Hispanic/Latine neighborhoods. Targeted interventions should focus on raising awareness around the five-star ratings.

Association Between Race/Ethnicity and Total Joint Arthroplasty Utilization in a Universally Insured Population

INTRODUCTION

Previous studies have documented racial and ethnic disparities in total joint arthroplasty (TJA) utilization in the United States. A potential mediator of healthcare disparities is unequal access to care, and studies have suggested that disparities may be ameliorated in systems of universal access. The purpose of this study was to assess whether racial/ethnic disparities in TJA utilization persist in a universally insured population of patients enrolled in a managed healthcare system.

METHODS

This retrospective cohort study used data from a US integrated healthcare system (2015 to 2019). Patients aged 50 years and older with a diagnosis of hip or knee osteoarthritis were included. The outcome of interest was utilization of primary total hip arthroplasty and/or total knee arthroplasty, and the exposure of interest was race/ethnicity. Incidence rate ratios (IRRs) were modeled using multivariable Poisson regression controlling for confounders.

RESULTS

There were 99,548 patients in the hip analysis and 290,324 in the knee analysis. Overall, 10.2% of the patients were Black, 20.5% were Hispanic, 9.6% were Asian, and 59.7% were White. In the multivariable analysis, utilization of primary total hip arthroplasty was significantly lower for all minority groups including Black (IRR, 0.55, 95% confidence interval [CI], 0.52-0.57, P < 0.0001), Hispanic (IRR, 0.63, 95% CI, 0.60-0.66, P < 0.0001), and Asian (IRR, 0.64, 95% CI, 0.61-0.68, P < 0.0001). Similarly, utilization of primary total knee arthroplasty was significantly lower for all minority groups including Black (IRR, 0.52, 95% CI, 0.49-0.54, P < 0.0001), Hispanic (IRR, 0.72, 95% CI, 0.70-0.75, P < 0.0001), and Asian (IRR, 0.60, 95% CI, 0.57-0.63, P < 0.0001) (all in comparison with White as reference).

CONCLUSIONS

In this study of TJA utilization in a universally insured population of patients enrolled in a managed healthcare system, disparities on the basis of race and ethnicity persisted. Additional research is required to determine the reasons for this finding and to identify interventions which could ameliorate these disparities.

A systematic review of reasons for and against asking patients about their socioeconomic contexts

Background

People’s social and economic circumstances are important determinants of their health, health experiences, healthcare access, and healthcare outcomes. However, patients’ socioeconomic circumstances are rarely asked about or documented in healthcare settings. We conducted a systematic review of published reasons for why patients’ socioeconomic contexts (including education, employment, occupation, housing, income, or wealth) should, or should not, be enquired about.

Methods

Systematic review of literature published up to and including 2016. A structured literature search using databases of medicine and nursing (pubmed, embase, global health), ethics (Ethicsweb), social sciences (Web of Science), and psychology (PsychINFO) was followed by a ‘snowball’ search. Eligible publications contained one or more reasons for: asking patients about socioeconomic circumstances; collecting patients’ socioeconomic information; ‘screening’ patients for adverse socioeconomic circumstances; or linking other sources of individual socioeconomic data to patients’ healthcare records. Two authors conducted the screening: the first screened all references, the second author screened a 20% sample with inter-rater reliability statistically confirmed. ‘Reason data’ was extracted from eligible publications by two authors, then analysed and organised.

Results

We identified 138 eligible publications. Most offered reasons for why patients’ should be asked about their socioeconomic circumstances. Reasons included potential improvements in: individual healthcare outcomes; healthcare service monitoring and provision; population health research and policies. Many authors also expressed concerns for improving equity in health. Eight publications suggested patients should not be asked about their socioeconomic circumstances, due to: potential harms; professional boundaries; and the information obtained being inaccurate or unnecessary.

Conclusions

This first summary of literature on the subject found many published reasons for why patients’ social and economic circumstances should be enquired about in healthcare settings. These reasons include potential benefits at the levels of individuals, health service provision, and population, as well as the potential to improve healthcare equity. Cautions and caveats include concerns about the clinician’s role in responding to patients’ social problems; the perceived importance of social health determinants compared with biomedical factors; the use of average population data from geographic areas to infer the socioeconomic experience of individuals. Actual evidence of outcomes is lacking: our review suggests hypotheses that can be tested in future research.

Increased risk of death and readmission after hospital discharge of critically ill patients in a developing country: a retrospective multicenter cohort study

PURPOSE

To describe long-term mortality and hospital readmissions of patients admitted to Brazilian intensive care units (ICU).

METHODS

Retrospective cohort study of adult patients admitted to Brazilian hospitals affiliated to the Public Healthcare System from 10 state capitals. ICU patients were paired to non-ICU patients by frequency matching (ratio 1:2), according to postal code and admission semester. Hospitalization records were linked through deterministic linkage to national mortality data. Primary outcome was mortality up to 1 year. Other outcomes were mortality and readmissions at 30 and 90 days and 3 years. Multiple Cox regressions were used adjusting for age, sex, cancer diagnosis, type of hospital, and surgical status.

RESULTS

We included 324,594 patients (108,302 ICU and 216,292 non-ICU). ICU patients had increased hospital length of stay [9 (5-17) vs. 3 (1-6) days, p < 0.001] and mortality (18.5 vs. 3.6%, p < 0.001) versus non-ICU patients. One year after discharge, ICU patients were more frequently readmitted to hospital (25.4 vs. 17.4%, p < 0.001) and to ICU (31.4 vs. 7.3%, p < 0.001) than controls. Mortality up to 1 year was also higher for ICU patients (14.3 vs. 3.9%, p < 0.001). A significant interaction between surgical status and mortality was found, with adjusted hazard ratios (HRs) up to 1 year of 2.7 [95% confidence interval (CI) 2.5-2.9] for surgical patients, and 3.4 (95%CI 3.3-3.5) for medical patients. The risk for death and readmission diminished over time up to 3 years.

CONCLUSIONS

In a public healthcare system of a developing country, ICU patients have excessive long-term mortality and frequent readmissions. The ICU burden tended to reduce over time after hospital discharge.

Massachusetts Health Reform's Effect on Hospitalizations with Substance Use Disorder-Related Diagnoses

OBJECTIVE

To examine whether Massachusetts (MA) health reform affected substance (alcohol or drug) use disorder (SUD)-related hospitalizations in acute care hospitals.

DATA/STUDY SETTING

2004-2010 MA inpatient discharge data.

DESIGN

Difference-in-differences analysis to identify pre- to postreform changes in age- and sex-standardized population-based rates of SUD-related medical and surgical hospitalizations, adjusting for secular trends.

DATA EXTRACTION METHODS

We identified 373,751 discharges where a SUD-related diagnosis was a primary or secondary discharge diagnosis.

FINDINGS

Adjusted for age and sex, the rates of drug use-related and alcohol use-related hospitalizations prereform were 7.21 and 8.87 (per 1,000 population), respectively, in high-uninsurance counties, and 8.58 and 9.63, respectively, in low-uninsurance counties. Both SUD-related rates increased after health reform in high- and low-uninsurance counties. Adjusting for secular trends in the high- and low-uninsurance counties, health reform was associated with no change in drug- or alcohol-related hospitalizations.

CONCLUSIONS

Massachusetts health reform was not associated with any changes in substance use disorder-related hospitalizations. Further research is needed to determine how to reduce substance use disorder-related hospitalizations, beyond expanding insurance coverage.

Socioeconomic Background and Commercial Health Plan Spending

BACKGROUND

Risk-adjustment algorithms typically incorporate demographic and clinical variables to equalize compensation to insurers for enrollees who vary in expected cost, but including information about enrollees' socioeconomic background is controversial.

METHODS

We studied 1 182 847 continuously insured 0 to 19-year-olds using 2008-2012 Blue Cross Blue Shield of Massachusetts and American Community Survey data. We characterized enrollees' socioeconomic background using the validated area-based socioeconomic measure and calculated annual plan payments using paid claims. We evaluated the relationship between annual plan payments and geocoded socioeconomic background using generalized estimating equations (γ distribution and log link). We expressed outcomes as the percentage difference in spending and utilization between enrollees with high and low socioeconomic backgrounds.

RESULTS

Geocoded socioeconomic background had a significant, positive association with annual plan payments after applying standard adjusters. Every 1 SD increase in socioeconomic background was associated with a 7.8% (95% confidence interval, 7.2% to 8.3%; P < .001) increase in spending. High socioeconomic background enrollees used higher-priced outpatient and pharmacy services more frequently than their counterparts from low socioeconomic backgrounds (eg, 25% more outpatient encounters annually; 8% higher price per encounter; P < .001), which outweighed greater emergency department spending among low socioeconomic background enrollees.

CONCLUSIONS

Higher socioeconomic background is associated with greater levels of pediatric health care spending in commercially insured children. Including socioeconomic information in risk-adjustment algorithms may address concerns about adverse selection from an economic perspective, but it would direct funds away from those caring for children and adolescents from lower socioeconomic backgrounds who are at greater risk of poor health.

Massachusetts Health Reform's Effect on Hospitals' Racial Mix of Patients and on Patients' Use of Safety-net Hospitals

BACKGROUND

Because of residential segregation and a lack of health insurance, minorities often receive care in different facilities than whites. Massachusetts (MA) health reform provided insurance to previously uninsured patients, which enabled them to potentially shift inpatient care to nonminority-serving or nonsafety-net hospitals.

OBJECTIVES

Examine whether MA health reform affected hospitals' racial mix of patients, and individual patients' use of safety-net hospitals.

RESEARCH DESIGN

Difference-in-differences analysis of 2004-2009 inpatient discharge data from MA, compared with New York (NY), and New Jersey (NJ), to identify postreform changes, adjusting for secular changes.

SUBJECTS

(1) Hospital-level analysis (discharges): 345 MA, NY, and NJ hospitals; (2) patient-level analysis (patients): 39,921 patients with ≥2 hospitalizations at a safety-net hospital in the prereform period.

MEASURES

Prereform to postreform changes in percentage of discharges that are minority (black and Hispanic) at minority-serving hospitals; adjusted odds of patient movement from safety-net hospitals (prereform) to nonsafety-net hospitals (postreform) by age group and state.

RESULTS

Treating NJ as the comparison state, MA reform was associated with an increase of 5.8% (95% CI, 1.4%-10.3%) in the percentage of minority discharges at MA minority-serving hospitals; with NY as the comparison state, the change was 2.1% (95% CI, -0.04% to 4.3%). Patient movement from safety-net to nonsafety-net hospitals was greater in MA than comparison states (difference-in-differences adjusted OR=1.3; 95% CI, 1.0-1.7; P=0.04).

CONCLUSIONS

Following MA health reform, the safety-net remains an important component of the health care system.

Obese older adults report high satisfaction and positive experiences with care

Background

Obese, older adults often have multiple chronic conditions resulting in multiple health care encounters. However, their satisfaction and experiences with care are not well understood. The objective of this study was to examine the independent impact of obesity on patient satisfaction and experiences with care in adults 65 years of age and older with Medigap insurance.

Methods

Surveys were mailed to 53,286 randomly chosen adults with an AARP® Medicare Supplement Insurance Plan insured by UnitedHealthcare Insurance Company (for New York residents, UnitedHealthcare Insurance Company of New York) in 10 states. Following adjustment for non-response bias, multivariate regression modeling was used to adjust for demographic, socioeconomic and health status differences to estimate the independent impact of weight on satisfaction and experiences with care. Outcome variables included four global and four composite measures of satisfaction and experiences with care.

Results

21.4% of the respondents were obese. Relative to normal weight, obesity was significantly associated with higher patient satisfaction and better experiences with care in seven of the eight ratings measured.

Conclusions

Obese individuals were more satisfied and had better experiences with care. Obese individuals had more office visits and discussions about nutrition, exercise and medical checks. This may have led to increased attentiveness to care, explaining the increase in satisfaction and better experiences with care. Given the high level of satisfaction and experiences with care in older, obese adults, opportunities exist for clinicians to address weight concerns in this population.

Longitudinal trajectory of sexual functioning after hematopoietic cell transplantation: impact of chronic graft-versus-host disease and total body irradiation

This prospective study described the trajectory of sexual well-being from before hematopoietic cell transplantation (HCT) to 3 years after in 131 allogeneic and 146 autologous HCT recipients using Derogatis Interview for Sexual Function and Derogatis Global Sexual Satisfaction Index. Sixty-one percent of men and 37% of women were sexually active pre-HCT; the prevalence declined to 51% (P = .01) in men and increased to 48% (P = .02) in women at 3 years post-HCT. After HCT, sexual satisfaction declined in both sexes (P < .001). All sexual function domains were worse in women compared with men (P ≤ .001). Orgasm (P = .002) and drive/relationship (P < .001) declined in men, but sexual cognition/fantasy (P = .01) and sexual behavior/experience (P = .01) improved in women. Older age negatively impacted sexual function post-HCT in both sexes (P < .01). Chronic graft-versus-host disease was associated with lower sexual cognition/fantasy (P = .003) and orgasm (P = .006) in men and sexual arousal (P = .05) and sexual satisfaction (P = .005) in women. All male sexual function domains declined after total body irradiation (P < .05). This study identifies vulnerable subpopulations that could benefit from interventional strategies to improve sexual well-being.

Impact of socioeconomic adjustment on physicians' relative cost of care

BACKGROUND

Ongoing efforts to profile physicians on their relative cost of care have been criticized because they do not account for differences in patients' socioeconomic status (SES). The importance of SES adjustment has not been explored in cost-profiling applications that measure costs using an episode of care framework.

OBJECTIVES

We assessed the relationship between SES and episode costs and the impact of adjusting for SES on physicians' relative cost rankings.

RESEARCH DESIGN

We analyzed claims submitted to 3 Massachusetts commercial health plans during calendar years 2004 and 2005. We grouped patients' care into episodes, attributed episodes to individual physicians, and standardized costs for price differences across plans. We accounted for differences in physicians' case mix using indicators for episode type and a patient's severity of illness. A patient's SES was measured using an index of 6 indicators based on the zip code in which the patient lived. We estimated each physician's case mix-adjusted average episode cost and percentile rankings with and without adjustment for SES.

RESULTS

Patients in the lowest SES quintile had $80 higher unadjusted episode costs, on average, than patients in the highest quintile. Nearly 70% of the variation in a physician's average episode cost was explained by case mix of their patients, whereas the contribution of SES was negligible. After adjustment for SES, only 1.1% of physicians changed relative cost rankings >2 percentiles.

CONCLUSIONS

Accounting for patients' SES has little impact on physicians' relative cost rankings within an episode cost framework.

Massachusetts reform and disparities in inpatient care utilization

BACKGROUND

The 2006 Massachusetts health reform substantially decreased uninsurance rates. Yet, little is known about the reform's impact on actual health care utilization among poor and minority populations, particularly for receipt of inpatient surgical procedures that are commonly initiated by outpatient physician referral.

METHODS

Using discharge data on Massachusetts hospitalizations for 21 months before and after health reform implementation (7/1/2006-12/31/2007), we identified all nonobstetrical major therapeutic procedures for patients aged 40 or older and for which ≥70% of hospitalizations were initiated by outpatient physician referral. Stratifying by race/ethnicity and patient residential zip code median (area) income, we estimated prereform and postreform procedure rates, and their changes, for those aged 40-64 (nonelderly), adjusting for secular changes unrelated to reform by comparing to corresponding procedure rate changes for those aged 70 years and above (elderly), whose coverage (Medicare) was not affected by reform.

RESULTS

Overall increases in procedure rates (among 17 procedures identified) between prereform and postreform periods were higher for nonelderly low area income (8%, P=0.04) and medium area income (8%, P<0.001) cohorts than for the high area income cohort (4%); and for Hispanics and blacks (23% and 21%, respectively; P<0.001) than for whites (7%). Adjusting for secular changes unrelated to reform, postreform increases in procedure utilization among nonelderly were: by area income, low=13% (95% confidence interval (CI)=[9%, 17%]), medium=15% (95% CI [6%, 24%]), and high=2% (95% CI [-3%, 8%]); and by race/ethnicity, Hispanics=22% (95% CI [5%, 38%]), blacks=5% (95% CI [-20%, 30%]), and whites=7% (95% CI [5%, 10%]).

CONCLUSIONS

Postreform use of major inpatient procedures increased more among nonelderly lower and medium area income populations, Hispanics, and whites, suggesting potential improvements in access to outpatient care for these vulnerable subpopulations.

The implications of using adjusted versus unadjusted methods to measure health care disparities at the practice level

Reducing disparities in care requires that health care providers identify populations at risk for suboptimal quality of care. Stratified analyses are often used to examine disparities (eg, by race or sex). However, stratified analyses can be misleading if the variables are confounded. The authors examined disparities in quality within a large ambulatory care practice using both unadjusted and adjusted methods for 18 measures. In unadjusted analyses, differences in quality were identified for 9 measures by race. However, in analyses adjusted simultaneously for race, sex, age, socioeconomic status, and chronic medical conditions, racial differences were apparent for only 4 measures. Women received lower quality care for 4 measures in both unadjusted and adjusted analyses. The pattern of observed disparities can differ significantly based on whether unadjusted or adjusted methods are applied. Health care organizations should consider the routine use of adjusted methods to measure disparities in order to better inform disparity reduction initiatives.

The influence of race/ethnicity and socioeconomic status on end-of-life care in the ICU

BACKGROUND

There is conflicting evidence about the influence of race/ethnicity on the use of intensive care at the end of life, and little is known about the influence of socioeconomic status.

METHODS

We examined patients who died in the ICU in 15 hospitals. Race/ethnicity was assessed as white and nonwhite. Socioeconomic status included patient education, health insurance, and income by zip code. To explore differences in end-of-life care, we examined the use of (1) advance directives, (2) life-sustaining therapies, (3) symptom management, (4) communication, and (5) support services.

RESULTS

Medical charts were abstracted for 3,138/3,400 patients of whom 2,479 (79%) were white and 659 (21%) were nonwhite (or Hispanic). In logistic regressions adjusted for patient demographics, socioeconomic factors, and site, nonwhite patients were less likely to have living wills (OR, 0.41; 95% CI, 0.32-0.54) and more likely to die with full support (OR, 1.59; 95% CI, 1.30-1.94). In documentation of family conferences, nonwhite patients were more likely to have documentation that prognosis was discussed (OR, 1.47; 95% CI, 1.21-1.77) and that physicians recommended withdrawal of life support (OR, 1.57; 95% CI, 1.11-2.21). Nonwhite patients also were more likely to have discord documented among family members or with clinicians (OR, 1.49; 95% CI, 1.04-2.15). Socioeconomic status did not modify these associations and was not a consistent predictor of end-of-life care.

CONCLUSIONS

We found numerous racial/ethnic differences in end-of-life care in the ICU that were not influenced by socioeconomic status. These differences could be due to treatment preferences, disparities, or both. Improving ICU end-of-life care for all patients and families will require a better understanding of these issues.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT00685893; URL: www.clinicaltrials.gov.

Multiple testing, cumulative radiation dose, and clinical indications in patients undergoing myocardial perfusion imaging

CONTEXT

Myocardial perfusion imaging (MPI) is the single medical test with the highest radiation burden to the US population. Although many patients undergoing MPI receive repeat MPI testing, or additional procedures involving ionizing radiation, no data are available characterizing their total longitudinal radiation burden and relating radiation burden with reasons for testing.

OBJECTIVES

To characterize procedure counts, cumulative estimated effective doses of radiation, and clinical indications for patients undergoing MPI.

DESIGN, SETTING, AND PATIENTS

A retrospective cohort study of 1097 consecutive patients undergoing index MPI during the first 100 days of 2006 (January 1-April 10) at Columbia University Medical Center, New York, New York, that evaluated all preceding medical imaging procedures involving ionizing radiation undergone beginning October 1988, and all subsequent procedures through June 2008, at the center.

MAIN OUTCOME MEASURES

Cumulative estimated effective dose of radiation, number of procedures involving radiation, and indications for testing.

RESULTS

Patients underwent a median of 15 (interquartile range [IQR], 6-32; mean, 23.9) procedures involving radiation exposure; of which 4 (IQR, 2-8; mean, 6.5) were high-dose procedures (≥3 mSv; ie, 1 year's background radiation), including 1 (IQR, 1-2; mean, 1.8) MPI study per patient. A total of 344 patients (31.4%) received cumulative estimated effective dose from all medical sources of more than 100 mSv. Multiple MPIs were performed in 424 patients (38.6%), for whom cumulative estimated effective dose was 121 mSv (IQR, 81-189; mean, 149 mSv). Men and white patients had higher cumulative estimated effective doses. More than 80% of initial and 90% of repeat MPI examinations were performed in patients with known cardiac disease or symptoms consistent with it.

CONCLUSION

In this institution, multiple testing with MPI was common and in many patients associated with high cumulative estimated doses of radiation.

Including socioeconomic status in coronary heart disease risk estimation

PURPOSE

Socioeconomic status (SES) predicts coronary heart disease independently of the Framingham risk-scoring factors included in cholesterol treatment guidelines, possibly resulting in undertreatment of lower SES persons. We examined whether hybrid SES measures (based on area measures of income and individual education) address this bias and derived an approach to incorporating SES information into treatment guidelines.

METHODS

The Atherosclerosis Risk in Communities study data (initiated in 1987 with a 10-year follow-up of 15,495 adults aged 45 to 64 years in 4 southern and midwestern communities) were used to assess the calibration bias of 4 Cox models predicting 10-year coronary heart disease risk: Framingham risk score alone, and Framingham risk score plus SES using an individual-based measure (income less than 150% federal poverty level or less then 12 years of schooling), and 2 hybrid SES measures substituting area-based income measures (block group or zip code median incomes of less than 25th national percentiles) for the individual income component. Revised cholesterol treatment thresholds based on SES risk were also derived.

RESULTS

Use of either the block group hybrid or individual-based SES measures eliminated the significant SES bias observed using Framingham risk score alone. Cholesterol treatment guideline thresholds of 10% and 20% coronary heart disease risk (based on the Framingham risk score) were reduced to 6% and 13% for those with low SES.

CONCLUSIONS

Using patient income based on block group and individual education minimizes the SES bias in Framingham risk scoring and suggests more aggressive cholesterol treatment thresholds for low-SES persons.

Evaluating options for measurement of neighborhood socioeconomic context: evidence from a myocardial infarction case-control study

We hypothesized that neighborhood socioeconomic context would be most strongly associated with risk of myocardial infarction (MI) for smaller "neighborhood" definitions. We used data on 487 non-fatal, incident MI cases and 1873 controls from a case-control study in Washington State. Census data on income, home ownership, and education were used to estimate socioeconomic context across four neighborhood definitions: 1 km buffer, block group, census tract, and ZIP code. No neighborhood definition led to consistently stronger associations with MI. Although we confirmed the association between neighborhood socioeconomic measures and risk of MI, we did not find these associations sensitive to neighborhood definition.

Racial disparities in asthma-related health outcomes in severe or difficult-to-treat asthma

BACKGROUND

The underlying reasons for racial disparities in asthma morbidity are not well understood. Multivariate epidemiologic studies evaluating the presence and extent of racial differences in a large cohort of adults with severe or difficult-to-treat asthma are lacking.

OBJECTIVE

To analyze an extensive array of clinical and patient-reported outcomes, using multivariate analysis with a sequential approach, to explain racial differences in asthma-related outcomes in one of the largest cohorts of difficult-to-treat asthmatic patients.

METHODS

Black and white patients (> or = 18-years-old at baseline) were included (n = 2,128). Differences between the 2 racial groups were assessed using several outcome measures at month 12. Assessments were adjusted for confounding variables using a sequence of statistical models.

RESULTS

Most patients were white (88.6%). Blacks were slightly younger, less educated, and more likely to live in urban areas than whites. Blacks were more likely to have severe asthma and to be treated with 3 or more long-term controllers. Poorer quality of life, more asthma control problems, and higher risk of emergency department visits were observed in blacks compared with whites; differences were not explained by adjustment for broad sets of confounding variables. Differences in asthma-related health outcomes remained statistically significant after adjusting for asthma severity.

CONCLUSIONS

Asthma is a serious health problem in blacks and is not explained by differences in demographics, severity, or other health conditions.

Short- and long-term mortality after an acute illness for elderly whites and blacks

OBJECTIVE

To estimate racial differences in mortality at 30 days and up to 2 years following a hospital admission for the elderly with common medical conditions.

DATA SOURCES

The Medicare Provider Analysis and Review File and the VA Patient Treatment File from 1998 to 2002 were used to extract patients 65 or older admitted with a principal diagnosis of acute myocardial infarction, stroke, hip fracture, gastrointestinal bleeding, congestive heart failure, or pneumonia.

STUDY DESIGN

A retrospective analysis of risk-adjusted mortality after hospital admission for blacks and whites by medical condition and in different hospital settings.

PRINCIPAL FINDINGS

Black Medicare patients had consistently lower adjusted 30-day mortality than white Medicare patients, but the initial survival advantage observed among blacks dissipated beyond 30 days and reversed by 2 years. For VA hospitalizations similar patterns were observed, but the initial survival advantage for blacks dissipated at a slower rate.

CONCLUSIONS

Racial disparities in health are more likely to be generated in the posthospital phase of the process of care delivery rather than during the hospital stay. The slower rate of increase in relative mortality among black VA patients suggests an integrated health care delivery system like the VA may attenuate racial disparities in health.

Increased all-cause, liver, and cardiac mortality among hepatitis C virus-seropositive blood donors

Hospital-based studies suggest that hepatitis C virus (HCV) infection causes frequent cirrhosis, hepatocellular carcinoma, and mortality, but epidemiologic studies have shown less morbidity and mortality. The authors performed a retrospective cohort study of 10,259 recombinant immunoblot assay-confirmed, HCV antibody-positive (HCV+), allogeneic blood donors from 1991 to 2002 and 10,259 HCV antibody-negative (HCV-) donors matched for year of donation, age, gender, and Zone Improvement Plan Code (ZIP Code). Vital status through 2003 was obtained from the US National Death Index, and hazard ratios with 95% confidence intervals were calculated by survival analysis. After a mean follow-up of 7.7 years, there were 601 (2.92%) deaths: 453 HCV+ and 148 HCV- (hazard ratio (HR) = 3.13, 95% confidence interval (CI): 2.60, 3.76). Excess mortality in the HCV+ group was greatest in liver-related (HR = 45.99, 95% CI: 11.32, 186.74), drug- or alcohol-related (HR = 10.81, 95% CI: 4.68, 24.96), and trauma/suicide (HR = 2.99, 95% CI: 2.05, 4.36) causes. There was also an unexpected increase in cardiovascular mortality among the HCV+ donors (HR = 2.21, 95% CI: 1.41, 3.46). HCV infection is associated with a significant, threefold increase in overall mortality among former blood donors, including significantly increased mortality from liver and cardiovascular causes. High rates of mortality from drug/alcohol and trauma/suicide causes are likely due to lifestyle factors and may be at least partially preventable.

Is thirty-day hospital mortality really lower for black veterans compared with white veterans?

OBJECTIVE

To examine the source of observed lower risk-adjusted mortality for blacks than whites within the Veterans Affairs (VA) system by accounting for hospital site where treated, potential under-reporting of black deaths, discretion on hospital admission, quality improvement efforts, and interactions by age group.

DATA SOURCES

Data are from the VA Patient Treatment File on 406,550 hospitalizations of veterans admitted with a principal diagnosis of acute myocardial infarction, stroke, hip fracture, gastrointestinal bleeding, congestive heart failure, or pneumonia between 1996 and 2002. Information on deaths was obtained from the VA Beneficiary Identification Record Locator System and the National Death Index.

STUDY DESIGN

This was a retrospective observational study of hospitalizations throughout the VA system nationally. The primary outcome studied was all-location mortality within 30 days of hospital admission. The key study variable was whether a patient was black or white.

PRINCIPAL FINDINGS

For each of the six study conditions, unadjusted 30-day mortality rates were significantly lower for blacks than for whites (p<.01). These results did not vary after adjusting for hospital site where treated, more complete ascertainment of deaths, and in comparing results for conditions for which hospital admission is discretionary versus non-discretionary. There were also no significant changes in the degree of difference by race in mortality by race following quality improvement efforts within VA. Risk-adjusted mortality was consistently lower for blacks than for whites only within the population of veterans over age 65.

CONCLUSIONS

Black veterans have significantly lower 30-day mortality than white veterans for six common, high severity conditions, but this is generally limited to veterans over age 65. This differential by age suggests that it is unlikely that lower 30-day mortality rates among blacks within VA are driven by treatment differences by race.

Differences among the elderly in the treatment costs of colorectal cancer: how important is race?

BACKGROUND

Medical expenditures adjusted for price differences are a barometer of total resources devoted to patient care and thus may reflect treatment differentials.

OBJECTIVE

We sought to estimate costs of the surgical and adjuvant treatment phases of colorectal cancer (CRC) care and cost differences by race (African American-white) and other patient characteristics.

METHODS

We used the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database for stage II-III rectal and stage III colon cancer cases diagnosed in 1992-1996 to track Medicare approved payments for fee-for-service beneficiaries 66 and older in surgical (within 3 months of diagnosis) and postsurgical phases (13 months after the surgical phase). Net costs adjusted for expected noncancer expenditures were estimated with generalized linear models using pooled CRC and non-CRC cohorts. Using model results, we projected adjusted net costs for different patient groups (eg, by race, age).

RESULTS

Total unstandardized CRC costs for African American recipients were $44,199, a statistically significant 15% higher than for white recipients ($38,378). Adjusting for covariates and expected non-CRC costs decreased the estimate for African American recipients to $34,588, a statistically insignificant $974 (2.9%) more than white recipients. Differential expenditures by age, urban-rural setting, region, and neighborhood median income were all much larger than differences by race, although only region was statistically significant.

CONCLUSIONS

African American CRC patients cost more than their white counterparts, but adjusted differences were nonsignificant and trivial. Several nonracial cost differences were considerably larger (but not all statistically significant), and suggest that future research pay more attention to these characteristics.

Can a publicly funded home care system successfully allocate service based on perceived need rather than socioeconomic status? A Canadian experience

The present quantitative study evaluates the degree to which socioeconomic status (SES), as opposed to perceived need, determines utilisation of publicly funded home care in Ontario, Canada. The Registered Persons Data Base of the Ontario Health Insurance Plan was used to identify the age, sex and place of residence for all Ontarians who had coverage for the complete calendar year 1998. Utilisation was characterised in two dimensions: (1) propensity - the probability that an individual received service, which was estimated using a multinomial logit equation; and (2) intensity - the amount of service received, conditional on receipt. Short- and long-term service intensity were modelled separately using ordinary least squares regression. Age, sex and co-morbidity were the best predictors (P < 0.0001) of whether or not an individual received publicly funded home care as well as how much care was received, with sicker individuals having increased utilisation. The propensity and intensity of service receipt increased with lower SES (P < 0.0001), and decreased with the proportion of recent immigrants in the region (P < 0.0001), after controlling for age, sex and co-morbidity. Although the allocation of publicly funded home care service was primarily based on perceived need rather than ability to pay, barriers to utilisation for those from areas with a high proportion of recent immigrants were identified. Future research is needed to assess whether the current mix and level of publicly funded resources are indeed sufficient to offset the added costs associated with the provision of high-quality home care.

Addressing racial and ethnic disparities in health care: using federal data to support local programs to eliminate disparities

To reduce racial and ethnic disparities in health care, managers, policy makers, and researchers need valid and reliable data on the race and ethnicity of individuals and populations. The federal government is one of the most important sources of such data. In this paper we review the strengths and weaknesses of federal data that pertain to racial and ethnic disparities in health care. We describe recent developments that are likely to influence how these data can be used in the future and discuss how local programs could make use of these data.

Use of geocoding and surname analysis to estimate race and ethnicity

OBJECTIVE

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

STUDY DESIGN

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

PRINCIPAL FINDINGS

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

CONCLUSIONS

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

Insurance, acculturation, and health service utilization among Korean-Americans

This study describes the pattern and predictors of ambulatory care utilization among Korean Americans (KAs) living in Los Angeles. Data were gathered via a mail survey. Analysis employed a two-part model: logit model for factors affecting any health care use and truncated negative binomial model for frequency of use given one visit. Use of ambulatory care among KAs was low (2.80 visits during prior 12 months), compared to their counterparts in South Korea and the U.S. population. Variables associated with higher utilization included old age, health needs, and health insurance. Income had a positive effect on health care utilization decisions among the uninsured. Acculturation appeared to be neither a strong nor consistent predictor of ambulatory care utilization among KAs. Of particular concern is the finding that KAs suffer from inadequate access to care due to lack of employment-based health insurance.

Is risk-adjustor selection more important than statistical approach for provider profiling? Asthma as an example

OBJECTIVES

To examine how the selections of different risk adjustors and statistical approaches affect the profiles of physician groups on patient satisfaction.

DATA SOURCES

Mailed patient surveys. Patients with asthma were selected randomly from each of 20 California physician groups between July 1998 and February 1999. A total of 2515 patients responded.

RESEARCH DESIGN

A cross-sectional study. Patient satisfaction with asthma care was the performance indicator for physician group profiling. Candidate variables for risk-adjustment model development included sociodemographic, clinical characteristics, and self-reported health status. Statistical strategies were the ratio of observed-to-expected rate (OE), fixed effects (FE), and the random effects (RE) approaches. Model performance was evaluated using indicators of discrimination (C-statistic) and calibration (Hosmer-Lemeshow chi2). Ranking impact of using different risk adjustors and statistical approaches was based on the changes in absolute ranking (AR) and quintile ranking (QR) of physician group performance and the weighted kappa for quintile ranking.

RESULTS

Variables that added significantly to the discriminative power of risk-adjustment models included sociodemographic (age, sex, prescription drug coverage), clinical (asthma severity), and health status (SF-36 PCS and MCS). Based on an acceptable goodness-of-fit (P > 0.1)and higher C-statistics, models adjusting for sociodemographic, clinical, and health status variables (Model S-C-H) using either the FE or RE approach were more favorable. However, the C-statistic (=0.68) was only fair for both models. The influence of risk-adjustor selection on change of performance ranking was more salient than choice of statistical strategy (AR: 50%-80% v. 20%-55%; QR: 10%-30% v. 0%-10%). Compared to the model adjusting for sociodemographic and clinical variables only and using OE approach, the Model S-C-H using RE approach resulted in 70% of groups changing in AR and 25% changing in QR (weighted kappa: 0.88). Compared to the Consumer Assessment of Health Plans model, the Model S-C-H using RE approach resulted in 65% of groups changing in AR and 20% changing in QR (weighted kappa: 0.88).

CONCLUSIONS

In comparing the performance of physician groups on patient satisfaction with asthma care, the use of sociodemographic, clinical, and health status variables maximized risk-adjustment model performance. Selection of risk adjustors had more influence on ranking profiles than choice of statistical strategies. Stakeholders employing provider profiling should pay careful attention to the selection of both variables and statistical approach used in risk-adjustment.

Making psychological theory useful for implementing evidence based practice: a consensus approach

BACKGROUND

Evidence-based guidelines are often not implemented effectively with the result that best health outcomes are not achieved. This may be due to a lack of theoretical understanding of the processes involved in changing the behaviour of healthcare professionals. This paper reports the development of a consensus on a theoretical framework that could be used in implementation research. The objectives were to identify an agreed set of key theoretical constructs for use in (1) studying the implementation of evidence based practice and (2) developing strategies for effective implementation, and to communicate these constructs to an interdisciplinary audience.

METHODS

Six phases of work were conducted to develop a consensus: (1) identifying theoretical constructs; (2) simplifying into construct domains; (3) evaluating the importance of the construct domains; (4) interdisciplinary evaluation; (5) validating the domain list; and (6) piloting interview questions. The contributors were a "psychological theory" group (n = 18), a "health services research" group (n = 13), and a "health psychology" group (n = 30).

RESULTS

Twelve domains were identified to explain behaviour change: (1) knowledge, (2) skills, (3) social/professional role and identity, (4) beliefs about capabilities, (5) beliefs about consequences, (6) motivation and goals, (7) memory, attention and decision processes, (8) environmental context and resources, (9) social influences, (10) emotion regulation, (11) behavioural regulation, and (12) nature of the behaviour.

CONCLUSIONS

A set of behaviour change domains agreed by a consensus of experts is available for use in implementation research. Applications of this domain list will enhance understanding of the behaviour change processes inherent in implementation of evidence-based practice and will also test the validity of these proposed domains.

Patient satisfaction profiling of individual physicians: impact of panel status

RATIONALE, AIMS AND OBJECTIVES

Evaluation of physician performance is increasingly based on patient satisfaction. However, few data are available regarding the extent to which individual physician profiles might be influenced by factors such as whether a physician's practice is open or closed. We evaluated whether panel status (whether or not a physician is accepting new patients) is associated with patient satisfaction with their primary care physician (PCP).

METHODS

Cross-sectional analysis of patient satisfaction surveys. Surveys were available for 1,750 patients cared for by 69 PCPs. Patient satisfaction with their PCP was determined based on a composite of six questions derived from the Medical Outcomes Study. We used Generalized Estimating Equations to adjust for physician level variation.

RESULTS

Patients of closed-panel physicians were more likely to rate their satisfaction with the provider as 'Excellent' or 'Very Good' compared to patients of open-panel physicians (78% vs. 69%, P <0.0001). After adjusting for satisfaction with the practice site, provider years in practice, managed care coverage, provider productivity, and patient race, the association between a closed panel and satisfaction remained significant (odds ratio 1.60, 95% confidence interval 1.10-2.31).

CONCLUSIONS

Individual physicians' patient satisfaction data are confounded by factors not likely to be adjusted for in available profiles. After adjusting for other variables, physicians with closed panels still had better patient satisfaction compared to physicians with open panels. Further research is necessary to determine if panel status might also confound patient satisfaction.

Explaining disparities in access to high-quality cardiac surgeons

BACKGROUND

Racial disparities in access to coronary artery bypass graft (CABG) surgery are well documented. Recent evidence shows that even when patients receive CABG surgery, racial minorities are more likely to be treated by lower quality providers.

METHODS

New York State (NYS) hospital discharge data for 1996 and 1997 for patients undergoing CABG surgery were combined with risk-adjusted mortality rates for cardiac surgeons calculated by the NYS Department of Health. Statistical analysis was performed to determine the relationship between patients' race and the quality of the surgeon performing the CABG, as measured by the surgeon's risk-adjusted mortality rate, after controlling for patient characteristics such as comorbidities and socioeconomic status; the hospital where the surgery was performed; and the number of surgeries the surgeon performed over a 3-year period.

RESULTS

African Americans and Asian/Pacific Islanders are treated by surgeons with higher risk-adjusted mortality rates compared with whites. This association does not appear to be a result of inadequate risk adjustment. It is explained to some degree by the hospital to which these patients are admitted, and to a lesser degree by (1) the education and income level in the patient's zipcode of residence and (2) being treated by a low-volume surgeon. After controlling for these factors, race continues to be associated with treatment by a surgeon with a higher risk-adjusted mortality rate.

CONCLUSIONS

Efforts to achieve the "Healthy People 2010" goals of eliminating health disparities should address not only access to care, but also access to high-quality care.

Barriers to eligibility and enrollment among older women in a clinical trial on osteoporosis: effects of ethnicity and SES

OBJECTIVES

The study examined whether ethnicity or socioeconomic status influenced a group's ability to meet eligibility criteria and willingness to enroll.

METHOD

The eligibility and enrollment status of 904 women aged 65 years and older who responded to recruitment efforts of an estrogen and osteoporosis clinical trial were analyzed.

RESULTS

Among women screened, 59% were White, 27% African Americans, and 14% Hispanics; average age was 75 years; 57.6% were eligible, of which 32% enrolled. High-income area residents were more likely to be eligible than low-income residents. African Americans were less likely to be eligible for medical reasons than non-African Americans. Eligible Hispanics were more likely to be enrolled than non-Hispanics. African Americans were equally willing to enroll as Whites. Minority residents of low-income areas were more likely to enroll than minority residents of high-income areas.

DISCUSSION

Recruitment efforts should address barriers to eligibility and barriers to willingness to enroll.

Adjusting for Patient Characteristics and Selection Effects in Assessment of Community Mental Health Centers

OBJECTIVE

The objective of this study was to determine the effect of patient socioeconomic characteristics and center selection of patients on measured performance of community mental health centers.

DATA SOURCE/STUDY SETTING

Data were taken from the administrative records of Indiana's public mental health system for 16,516 adults with severe, persistent mental illness treated in 30 community mental health centers. Center performance was compared using longitudinal information on patient functioning.

METHODS

A mixed random-effects model that is suitable for fitting data with a hierarchical structure was used to assess relative performance.

PRINCIPAL FINDINGS

Measured performance was found to depend significantly on patient education, income, marital status, race, ethnicity, and baseline health (P<0.05). Results also indicated centers that were more successful at maintaining patients in treatment were unfairly underranked by unadjusted performance scores.

CONCLUSIONS

Both the socioeconomic background of patients and patient selection by centers impact apparent performance in community mental health care. If observational data are used to evaluate community-based providers, analysts might need to account for both effects to ensure comparisons of relative performance are accurate.

On being new to an insurance plan: health care use associated with the first years in a health insurance plan

BACKGROUND

We wanted to compare health care utilization and costs in the first year of being in a health insurance plan with those of subsequent years.

METHODS

We used claims data from an independent practitioner association (IPA)-style managed care organization in the Rochester, NY, metropolitan area from 1996 through 1999. Cross-sectional and panel analyses of up to 4 years of claims data were conducted, involving 335,547 adult patients assigned to the panels of 687 primary care physicians (internists and family physicians). Multivariate analyses, adjusting for age, sex, case mix, and socioeconomic status derived from ZIP codes, examined the relationship between the first year of health insurance and Papanicolaou tests, mammograms in women older than 40 years, physician use, avoidable hospitalization, and expenditures.

RESULTS

After multivariate adjustment, the first year of insurance was associated with a higher risk of not getting a mammogram, a higher risk of avoidable hospitalization, greater likelihood of visiting a physician, and higher expenditures, especially for testing. There was no relationship, however, between Papanicolaou test compliance and year of enrollment.

CONCLUSIONS

The findings suggest there might be adverse clinical and financial implications associated with changing insurance.

Effects of patient and physician practice socioeconomic status on the health care of privately insured managed care patients

BACKGROUND

Previous research shows that patient socioeconomic status (SES) affects health care, but little is known about the relative effects of patient and physician practice SES among privately insured patients.

OBJECTIVE

To examine the effects of patient and physician practice SES on prevention, disease management, utilization, and cost expenditures.

DESIGN

Cross-sectional analyses of claims data.

SUBJECTS

Primary care physicians (568) and their adult managed care organization patients (437,743) in the Rochester, New York, area.

MEASURES

Pap smears, mammograms, glycohemoglobins, and eye examinations for diabetics, physician visits, referrals, hospitalizations, costs standardized expenditures (diagnostic testing, office visits, and total), patient zip code-based SES, and physician practice SES (mean SES of patients in practice).

RESULTS

After adjustment, lower SES patients had lower compliance with Pap smears, mammograms, and diabetic eye exams, and were less likely to have a referral or make any office visit, but were more likely to be hospitalized, and generated higher testing standardized expenditures. Lower physician practice SES was associated with lower adjusted Pap, mammogram, and glycohemoglobin compliance, lower office visit standardized expenditures, but higher diagnostic testing and total standardized expenditures. Patient SES effects were stronger for mammography, whereas physician practice SES effects were stronger for diagnostic testing costs. For the utilization indicators, the SES effects on utilization exhibited a linear gradient, whereas there was a threshold effect for costs.

CONCLUSIONS

Patient and practice SES are independently associated with care among privately insured patients. These effects are not confined to the poorest patients but span the entire socioeconomic spectrum. Interventions to address these disparities need to be broad-based, but should also address the needs of practices with predominantly lower SES patients.

The association between three different measures of health status and satisfaction among patients with diabetes

Studies suggest that health status influences patient satisfaction, but little work has examined the influence of different measures of health status on satisfaction. The authors examined whether the association between health status and satisfaction varied for different measures of health status among 2000 diabetic patients receiving care across 25 Veterans Affairs facilities. Health status was measured using (1) the diabetes-related components of the Total Illness Burden Index (DM TIBI), a measure of diabetes severity and comorbidities; (2) the Short Form 36 (SF-36) Physical Function Index (PFI10); and (3) the SF-36 general health perceptions question (SF-1). Satisfaction was measured both by a 5-item scale on satisfaction with patient-provider communication and by a single item on overall diabetes care satisfaction. In adjusted models, worse health on all three health status measures correlated with lower satisfaction, but the DM TIBI explained more of the variation in satisfaction than either the PFI10 or SF-1. Moreover, when the DM TIBI was added to the model containing PFI10, PFI10 was no longer significantly associated with satisfaction. In this diabetes population, health status appears to have a substantial impact on patient satisfaction, and this effect is considerably greater for diabetes severity than for physical functioning.

Whom should we profile? Examining diabetes care practice variation among primary care providers, provider groups, and health care facilities

OBJECTIVE

To evaluate the amount of variation in diabetes practice patterns at the primary care provider (PCP), provider group, and facility level, and to examine the reliability of diabetes care profiles constructed using electronic databases.

DATA SOURCES/STUDY SETTING

Clinical and administrative data obtained from the electronic information systems at all facilities in a Department of Veterans Affairs' (VA) integrated service network for a study period of October 1997 through September 1998.

STUDY DESIGN

This is a cohort study. The key variables of interest are different types of diabetes quality indicators, including measures of technical process, intermediate outcomes, and resource use.

DATA COLLECTION/EXTRACTION METHODS

A coordinated registry of patients with diabetes was constructed by integrating laboratory, pharmacy, utilization, and primary care provider data extracted from the local clinical information system used at all VA medical centers. The study sample consisted of 12,110 patients with diabetes, 258 PCPs, 42 provider groups, and 13 facilities.

PRINCIPAL FINDINGS

There were large differences in the amount of practice variation across levels of care and for different types of diabetes care indicators. The greatest amount of variance tended to be attributable to the facility level. For process measures, such as whether a hemoglobin A1c was measured, the facility and PCP effects were generally comparable. However, for three resource use measures the facility effect was at least six times the size of the PCP effect, and for inter-mediate outcome indicators, such as hyperlipidemia, facility effects ranged from two to sixty times the size of the PCP level effect. A somewhat larger PCP effect was found (5 percent of the variation) when we examined a "linked" process-outcome measure linking hyperlipidemia and treatment with statins). When the PCP effect is small (i.e., 2 percent), a panel of two hundred diabetes patients is needed to construct profiles with 80 percent reliability.

CONCLUSIONS

little of the variation in many currently measured diabetes care practices is attributable to PCPs and, unless panel sizes are large, PCP profiling will be inaccurate. If profiling is to improve quality, it may be best to focus on examining facility-level performance variations and on developing indicators that promote specific, high-priority clinical actions.

Effect of patient socioeconomic status on physician profiles for prevention, disease management, and diagnostic testing costs

BACKGROUND

Previous research shows patient socioeconomic status (SES) affects physician profiles for health status and satisfaction, but effects on other aspects of care are not known.

OBJECTIVE

To examine the effect of patient SES on physician profiles for preventive care, disease management, and diagnostic testing costs.

RESEARCH DESIGN

Cross-sectional analysis of a managed care claims data.

SUBJECTS

Five hundred sixty-eight physicians and 600,618 patients.

MEASURES

Patient age, gender, case-mix, and SES based on zip code, likelihood of having a Papanicolaou smear, mammogram, for diabetics having had a glycosylated hemoglobin, diabetic eye exam, and diagnostic testing costs.

RESULTS

For each performance indicator, except glycosylated hemoglobin, there was a statistically significant effect of adjusting for patient SES. For diabetic eye checks, mammograms and Papanicolaou tests respectively, 5%, 16%, and 21% of physicians who were outliers (in the top or bottom 5% of rankings) were no longer outliers after socioeconomic adjustment. For all performance measures the change in physician ranking was strongly correlated with the mean practice SES.

CONCLUSIONS

Patient SES, as measured by zip code, appreciably affects physician profiles for preventive care and diabetes management. Monitoring patient SES using patient zip codes could be used to target resources to improve outcomes for higher risk patients.

Where do children with complex chronic conditions die? Patterns in Washington State, 1980-1998

OBJECTIVE

Little is known about factors that influence whether children with chronic conditions die at home. We sought to test whether deaths attributable to underlying complex chronic conditions (CCCs) were increasingly occurring at home and to determine what features were associated with home deaths.

DESIGN

A retrospective case series was conducted of all deaths that occurred to children age 0 to 18 years in Washington state from 1980 to 1998 using death certificate data, augmented with 1990 US Census data regarding median household income by zip code in 1989, to determine the site of death.

RESULTS

Of the 31 455 deaths identified in infants, children, and adults younger than 25 years, 52% occurred in the hospital, 17.2% occurred at home, 8.5% occurred in the emergency department or during transportation, 0.4% occurred in nursing homes, and 21.7% occurred at other sites. Among children who died as a result of some form of CCC (excluding injury, sudden infant death syndrome, and non-CCC medical conditions), the percentage of cases younger than 1 year who died at home rose slightly from 7.8% in 1980 to 11.6% in 1998, whereas the percentage of older children and young adults who had a CCC and died at home rose substantially from 21% in 1980 to 43% in 1998. Children who had lived in more affluent neighborhoods were more likely to have died at home. Using leukemia-related deaths as a benchmark, deaths as a result of congenital, genetic, neuromuscular, and metabolic conditions and other forms of cancer all were more likely to have occurred at home. Significant variation in the likelihood of home death, not explained by the individual attributes of the cases, also existed across the 39 counties in Washington state.

CONCLUSIONS

Children who die with underlying CCCs increasingly do so at home. Age at death, specific condition, local area affluence, and the location of home all influence the likelihood of home death. These findings warrant additional study, as they have implications for how we envision pediatric palliative care, hospice, and other supportive services for the future.

Insurance and quality of care for children with acute asthma

BACKGROUND

Increasing attention has been paid to the role of insurance in determining quality and outcomes of care. Pressures to reduce health costs and to improve quality have prompted attempts by managed care organizations to decrease the use of the emergency department (ED) for acute asthma, but performance comparisons between insurance types remain rare.

METHODS

We used prospective data from the Multicenter Airway Research Collaboration on 965 children with acute asthma presenting to 36 EDs. We compared measures of quality of pre-ED care, acute severity, and short-term outcomes (length of stay, percent relapse, and percent with ongoing symptoms) across 4 different insurance categories: managed care, indemnity, Medicaid, and uninsured. We used multivariate regression to control for differences in education, estimated income, race/ethnicity, and chronic asthma severity and acute asthma characteristics.

RESULTS

Children with managed care and indemnity had similar demographic and asthma characteristics, but these children differed significantly from Medicaid and uninsured patients. Managed care and indemnity insured children had similar ratings on all 7 quality measures, with Medicaid and uninsured children ranking significantly lower on most measures, including (1) percent with primary care provider (PCP) (P <.001), (2) percent using ED as usual site of asthma care (P <.001), (3) percent using ED for prescriptions (P <.001), (4) percent with a ratio of >1 of ED visits to acute office visits within the past year (P =.003), and (5) percent visiting their PCP within the week prior to ED visit (P <.001). Children with managed care were more acutely ill than were indemnity, Medicaid, or uninsured children on presentation to the ED (pulmonary index of 4.6, 4.0, 4.2, and 3.9, respectively, P =.007). There were no significant differences in length of hospital stay, relapse, and ongoing exacerbation.

CONCLUSIONS

Our results indicate similar quality of care, greater severity of acute asthma, and no worse outcomes for children with managed care compared to children with indemnity insurance. We found uninsured children to have consistently poorer quality of care than insured patients.