Electronic health record identification of prediabetes and an assessment of unmet counselling needs.

RATIONALE, AIMS AND OBJECTIVES: Large clinical trials demonstrate that lifestyle modification can prevent or delay the onset of diabetes in those with prediabetes. However, recent National Health and Nutrition Survey data suggest that prediabetes often goes unrecognized, and the majority of prediabetic individuals do not report having received lifestyle advice from physicians. We explored whether electronic health record (EHR) query of glucose measurements can identify prediabetic patients, and we estimated rates of prediabetic lifestyle counselling in a large, urban, primary care practice. METHODS: Electronic search identified patients with plasma glucose levels of 100 to 199 mg dL(-1) between 1 June 2007 and 1 June 2009, excluding those with diabetes or diabetic medications/supplies. From these 5366 patients, 100 randomly selected patients underwent classification into provisional categories based on available EHR data: likely prediabetes, likely diabetes, glucose abnormality in the setting of acute illness, or normal glucose metabolism. In those likely to have prediabetes, we assessed lifestyle modification counselling. RESULTS: Fifty-eight per cent (95% CI 48% to 68%) of patients sampled were likely to have prediabetes. Fourteen per cent of those sampled were likely to have diabetes. Thirty-one per cent of prediabetics (95% CI 22% to 42%) had documented lifestyle counselling. Counselled patients had a significantly higher baseline mean body mass index compared to those not counselled (34.1 versus 29.9, P = 0.037). CONCLUSIONS: EHR query using glucose measurements can identify prediabetic patients and those requiring further glucose metabolism evaluation, including those with undiagnosed diabetes. Future research should investigate EHR-based, population-level interventions to facilitate prediabetes recognition and counselling.

Changes in disparities following the implementation of a health information technology-supported quality improvement initiative.

BACKGROUND: Health information technology (HIT)-supported quality improvement initiatives have been shown to increase ambulatory care quality for several chronic conditions and preventive services, but it is not known whether these types of initiatives reduce disparities. OBJECTIVES: To examine the effects of a multifaceted, HIT-supported quality improvement initiative on disparities in ambulatory care. DESIGN: Time series models were used to assess changes in racial disparities in performance between white and black patients for 17 measures of chronic disease and preventive care from February 2008 through February 2010, the first 2 years after implementation of a HIT-supported, provider-directed quality improvement initiative. PATIENTS: Black and white adults receiving care in an academic general internal medicine practice in Chicago. INTERVENTIONS: The quality improvement initiative used provider-directed point-of-care clinical decision support tools and quality feedback to target improvement in process of care and intermediate outcome measures for coronary heart disease, heart failure, hypertension, and diabetes as well as receipt of several preventive services. MAIN MEASURES: Modeled rate of change in performance, stratified by race and modeled rate of change in disparities for 17 ambulatory care quality measures KEY RESULTS: Quality of care improved for 14 of 17 measures among white patients and 10 of 17 measures among black patients. Quality improved for both white and black patients for five of eight process of care measures, four of five preventive services, but none of the four intermediate outcome measures. Of the seven measures with racial disparities at baseline, disparities declined for two, remained stable for four, and increased for one measure after implementation of the quality improvement initiative. CONCLUSIONS: Generalized and provider-directed quality improvement initiatives can decrease racial disparities for some chronic disease and preventive care measures, but achieving equity in areas with persistent disparities will require more targeted, patient-directed, and systems-oriented strategies.

Effects of standardized outreach for patients refusing preventive services: a quasiexperimental quality improvement study.

OBJECTIVE: To determine the effect of standardized outreach on the receipt of preventive services for patients whose physicians record that the patient refused the service. STUDY DESIGN: Prospective observational study of a quality improvement intervention using a nonrandomly assigned comparator group. METHODS: Patients from a large internal medicine practice with recorded refusals to preventive services were included. A nonclinician care manager mailed plain-language educational brochures, attempted telephone contact, and provided logistical assistance. The primary patient outcome was the time from refusal to first receipt of a refused service (colorectal cancer screening, breast cancer screening [mammography], cervical cancer screening, osteoporosis screening [bone density testing], or pneumococcal vaccination). We compared the time to completion of refused sevices during the period when outreach was performed (February 8, 2008, to November 25, 2008 [outreach cohort]), and during a subsequent period when refusals were recorded but no outreach was performed (November 26, 2008, to December 1, 2009 [nonintervention cohort]), using Cox proportional hazards regression models adjusted for patient characteristics. We recorded the time spent performing outreach. RESULTS: In total, 407 patients refused 520 preventive services in the outreach cohort, and 378 patients refused 510 services in the nonintervention cohort. After 6 months of follow-up, 6.1% of the outreach cohort and 4.8% of the nonintervention cohort had received a refused service (adjusted hazard ratio, 1.3; 95% confidence interval, 0.7-2.5). The care manager spent 214 hours performing the outreach. CONCLUSIONS: Standardized educational outreach was not a promising strategy for improving preventive services use among patients who have refused services recommended by their physician. The amount of time required to perform the outreach was substantial.

The marginal value of pre-visit paper reminders when added to a multifaceted electronic health record based quality improvement system.

OBJECTIVE: We have reported that implementation of an electronic health record (EHR) based quality improvement system that included point-of-care electronic reminders accelerated improvement in performance for multiple measures of chronic disease care and preventive care during a 1-year period. This study examined whether providing pre-visit paper quality reminders could further improve performance, especially for physicians whose performance had not improved much during the first year. DESIGN: Time-series analysis at a large internal medicine practice using a commercial EHR. All patients eligible for each measure were included (range approximately 100-7500). MEASUREMENTS: The proportion of eligible patients in the practice who satisfied each of 15 quality measures after removing those with exceptions from the denominator. To analyze changes in performance for individual physicians, two composite measures were used: prescribing seven essential medications and completion of five preventive services. RESULTS: During the year after implementing pre-encounter reminders, performance continued to improve for eight measures, remained stable for four, and declined for three. Physicians with the worst performance at the start of the pre-encounter reminders showed little absolute improvement over the next year, and most remained below the median performance for physicians in the practice. CONCLUSIONS: Paper pre-encounter reminders did not appear to improve performance beyond electronic point-of-care reminders in the EHR alone. Lagging performance is likely not due to providers' EHR workflow alone, and trying to step backwards and use paper reminders in addition to point-of-care reminders in the EHR may not be an effective strategy for engaging slow adopters.

Disparities in enrollment and use of an electronic patient portal.

BACKGROUND: With emphasis on the meaningful use of electronic health records, patient portals are likely to become increasingly important. Little is known about patient enrollment in, and use of, patient portals after explicit invitation from providers. OBJECTIVES: To examine enrollment in, and use of, an electronic patient portal by race/ethnicity, gender and age. DESIGN: Observational, cross sectional study. PARTICIPANTS: Patients with attending physicians seen at one urban, academic primary care practice between May 2008 and October 2009 who received electronic orders inviting their participation in an electronic patient portal. MAIN MEASURES: (a) Enrollment in the patient portal, (b) Solicitation of provider advice among enrollees, (c) Requests for medication refills among enrollees. KEY RESULTS: Overall, 69% of 7,088 patients enrolled in the patient portal. All minority patients were significantly less likely to enroll than whites: 55% blacks, 64% Latinos and 66% Asians compared with 74% whites (chi-square p < 0.05 for all pairwise comparisons). These disparities persisted in adjusted analyses, although differences for Asians were no longer significant. In addition, the oldest patients were less likely to enroll than the youngest (adjusted OR 0.79, 95% CI 0.65-0.97). Although there were no racial/ethnic disparities in use of the patient portal among enrollees, we found differences by age and gender. The youngest patients were significantly less likely to solicit provider advice or request medication refills than any other age group in unadjusted and adjusted analyses. Similarly, male patients were less likely to solicit provider advice than women in all analyses. CONCLUSION: Large racial/ethnic disparities were seen in enrollment in our patient portal. Among enrollees, use of the portal was similar by race/ethnicity, but not by age or gender. Future efforts to expand use of the patient portal need to address potential mechanisms for these disparities to ensure this technology is accessible to diverse patient populations.

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.

Pulsating bead-based assay.

In recent years, there has been a growing interest in using porous microbeads such as agarose beads as solid supports to bind target molecules from complex fluid samples. Porous beads have large surface area to volume ratios and high receptor concentrations, and they facilitate relatively high sensitivity detection and multiplexing. Unfortunately, to take full advantage of the porous beads' attributes, long incubation times are needed due to the relatively slow mass transfer of target molecules from the exterior solution into the beads' interior. To accelerate the mass transfer process, we propose a novel assay in which functionalized porous beads are periodically compressed and expanded. Preliminary experiments were carried out to compare the performance of the pulsating beads with that of conventional, nonpulsating beads. These experiments indicate that the pulsating beads significantly accelerate binding rates with minimal increase in nonspecific binding. Thus, pulsing has the potential of significantly reducing assay time.

A membrane-based, high-efficiency, microfluidic debubbler.

In many lab-on-chip applications, it is necessary to remove bubbles from the flow stream. Existing bubble removal strategies have various drawbacks such as low degassing efficiency, long degassing time, large dead volumes, sensitivity to surfactants, and the need for an external vacuum or pressure source. We report on a novel, simple, robust, passive, nozzle-type, membrane-based debubbler that can be readily incorporated into microfluidic devices for rapid degassing. The debubbler is particularly suitable to operate with microfluidic systems made with plastic. The debubbler consists of a hydrophobic, porous membrane that resembles a normally closed valve, which is forced open by the working fluid's pressure. To illustrate the operation of the debubbler, we describe its use in the context of a chip containing a bead array for immunoassays. Our debubbler was able to completely filter gas bubbles out of a segmented flow at rates up to 60 µl s(-1) mm(-2) of membrane area.

Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system.

BACKGROUND: Electronic health record (EHR) systems have the potential to revolutionize quality improvement (QI) methods by enhancing quality measurement and integrating multiple proven QI strategies. OBJECTIVES: To implement and evaluate a multifaceted QI intervention using EHR tools to improve quality measurement (including capture of contraindications and patient refusals), make point-of-care reminders more accurate, and provide more valid and responsive clinician feedback (including lists of patients not receiving essential medications) for 16 chronic disease and preventive service measures. DESIGN: Time series analysis at a large internal medicine practice using a commercial EHR. SUBJECTS: All adult patients eligible for each measure (range approximately 100-7500). MEASURES: The proportion of eligible patients who satisfied each measure after removing those with exceptions from the denominator. RESULTS: During the year before the intervention, performance improved significantly for 8 measures. During the year after the intervention, performance improved significantly for 14 measures. For 9 measures, the primary outcome improved more rapidly during the intervention year than during the previous year (P < 0.001 for 8 measures, P = 0.02 for 1). Four other measures improved at rates that were not significantly different from the previous year. Improvements resulted from increases in patients receiving the service, documentation of exceptions, or a combination of both. For 5 drug-prescribing measures, more than half of physicians achieved 100% performance. CONCLUSIONS: Implementation of a multifaceted QI intervention using EHR tools to improve quality measurement and the accuracy and timeliness of clinician feedback improved performance and/or accelerated the rate of improvement for multiple measures simultaneously.

Frequency of inappropriate medical exceptions to quality measures.

BACKGROUND: Quality improvement programs that allow physicians to document medical reasons for deviating from guidelines preserve clinicians' judgment while enabling them to strive for high performance. However, physician misconceptions or gaming potentially limit programs. OBJECTIVE: To implement computerized decision support with mechanisms to document medical exceptions to quality measures and to perform peer review of exceptions and provide feedback when appropriate. DESIGN: Observational study. SETTING: Large internal medicine practice. PARTICIPANTS: Patients eligible for 1 or more quality measures. MEASUREMENTS: A peer-review panel judged medical exceptions to 16 chronic disease and prevention quality measures as appropriate, inappropriate, or of uncertain appropriateness. Medical records were reviewed after feedback was given to determine whether care changed. RESULTS: Physicians recorded 650 standardized medical exceptions during 7 months. The reporting tool was used without any medical reason 36 times (5.5%). Of the remaining 614 exceptions, 93.6% were medically appropriate, 3.1% were inappropriate, and 3.3% were of uncertain appropriateness. Frequencies of inappropriate exceptions were 7 (6.9%) for coronary heart disease, 0 (0%) for heart failure, 10 (10.8%) for diabetes, and 2 (0.6%) for preventive services. After physicians received direct feedback about inappropriate exceptions, 8 of 19 (42%) changed management. The peer-review process took less than 5 minutes per case, but for each change in clinical care, 65 reviews were required. LIMITATION: The findings could differ at other sites or if financial incentives were in place. CONCLUSION: Physician-recorded medical exceptions were correct most of the time. Peer review of medical exceptions can identify myths and misconceptions, but the process needs to be more efficient to be sustainable. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Microfluidic, bead-based assay: Theory and experiments.

Microbeads are frequently used as a solid support for biomolecules such as proteins and nucleic acids in heterogeneous microfluidic assays. However, relatively few studies investigate the binding kinetics on modified bead surfaces in a microfluidics context. In this study, a customized hot embossing technique is used to stamp microwells in a thin plastic substrate where streptavidin-coated agarose beads are selectively placed and subsequently immobilized within a conduit. Biotinylated quantum dots are used as a label to monitor target analyte binding to the bead's surface. Three-dimensional finite element simulations are carried out to model the binding kinetics on the bead's surface. The model accounts for surface exclusion effects resulting from a single quantum dot occluding multiple receptor sites. The theoretical predictions are compared and favorably agree with experimental observations. The theoretical simulations provide a useful tool to predict how varying parameters affect microbead reaction kinetics and sensor performance. This study enhances our understanding of bead-based microfluidic assays and provides a design tool for developers of point-of-care, lab-on-chip devices for medical diagnosis, food and water quality inspection, and environmental monitoring.

Finger-actuated, self-contained immunoassay cassettes.

The building blocks for an inexpensive, disposable, luminescence-based microfluidic immunoassay cassette are described, and their integration in a point-of-care diagnostic system is demonstrated. Fluid motion in the cassette is driven by depressing finger-actuated pouches. All reagents needed for the immunoassay can be stored in the cassette in liquid form. Prior to use, the cassette consists of two separate parts. A top storage component contains pouches, sealed storage chambers, a metering chamber, and needle seats. The bottom processing component contains connection needles, a mixing chamber, and a detection chamber with immobilized proteins. Subsequent to sample introduction, the storage and processing components are mated. The needles form hydraulic connections between the two parts and, in some cases, close valves. The pouches are then actuated sequentially to induce flow of various reagents and facilitate process operations. The cassette is compatible with different detection modalities. Both a cassette with immunochromatographic-based detection and a cassette with microbead-based detection were constructed and evaluated. The immunochromatographic cassette was used to detect antibodies to HIV in saliva samples. The bead-based cassette was used to detect the proinflammatory chemokine IL-8. The experimental data demonstrates good repeatability and reasonable sensitivity.

Association between prior experiences of discrimination and patients' attitudes towards health care providers collecting information about race and ethnicity.

BACKGROUND: Previously, we reported a high level of comfort among Californians for collecting race/ethnicity information by health care providers (HCPs). However, minorities were less comfortable providing race/ethnicity information and were more worried than non-Hispanic whites about the potential misuse of this information. OBJECTIVE: To determine if perceived experiences of discrimination (both in general and in medical care) were associated with comfort providing race/ethnicity information, and conversely, to worry about providing the information. DESIGN AND PARTICIPANTS: Telephone survey of 480 Californians, including 101 whites, 98 Asians, 173 Hispanics, 82 blacks, and 26 multiracial individuals. MEASUREMENTS: Comfort level giving HCPs information about race/ethnicity (measured on a 1-10 scale, with text anchors of "very uncomfortable" at 1 and "very comfortable" at 10), worry that the information could be used to discriminate against patients, and worry that the information could be used to find undocumented immigrants. Worry was measured using a four-point Likert scale- not worried at all, a little worried, somewhat worried, and very worried. Respondents were also asked about perceived discrimination in general and perceived discrimination in medical care. RESULTS: Compared to whites, Hispanics (Beta-coefficient (BC) = -1.16, SE = 0.51) and Mandarin/Cantonese-speaking Asians (BC = -1.40, SE = 0.65) reported significantly less comfort giving HCPs information about their race/ethnicity, while blacks (BC = 0.70, SE = 0.16), Hispanics (BC = 0.91, SE = 0.18), and multiracial individuals (BC = 0.63, SE = 0.24) were significantly more worried that race/ethnicity information could be used to discriminate against them. Adjusting for perceived experiences of discrimination in general and in medical care partially explained the higher discomfort and worry among minorities. CONCLUSIONS: Perceived experiences of discrimination are associated with greater discomfort and worry about providing race/ethnicity data. Health care institutions should consider how they can address the public's concerns about possible misuses of data.

Improving hypertension quality measurement using electronic health records.

BACKGROUND: Simple hypertension outcome measures may not indicate which patients receive poor care. This could be problematic as incentives increase. OBJECTIVE: Compare measured quality using simple outcome measures to more sophisticated measures utilizing data available within an electronic health record. DESIGN: Cross-sectional study. SUBJECTS: A total of 5905 hypertensive adults with 3 or more clinic visits between July 1, 2005 and December 31, 2006 at an internal medicine clinic. MEASURES: We measured simple control as the proportion of diagnosed hypertension patients with their last blood pressure below goal (<140/90 mm Hg or <130/80 if diabetic). We compared this to sequentially more complex measures. RESULTS: Among nondiabetic patients, baseline measurement of control was 58.1% [95% confidence interval (CI), 56.5-59.6]. Counting patients as having adequate care whose last or mean blood pressure was at or below goal raised performance to 75.4%. Accounting for patients prescribed aggressive treatment raised it to 82.5%. Accounting for low diastolic blood pressure raised it to 83.6%. Including patients with undiagnosed hypertension lowered it to 80.5%. For diabetes patients, baseline measurement of control was 29.9% (95% CI, 27.6-32.3) and changed to 46.4%, 72.8%, 76.7%, and 73.6%, respectively. CONCLUSIONS: It is possible to use electronic health record data to devise hypertension measures that may better reflect who has actionable uncontrolled blood pressure, do not penalize clinicians treating resistant hypertension patients, reduce the encouragement of potentially unsafe practices, and identify patients possibly receiving poor care with no hypertension diagnosis. This could improve the detection of true quality problems and remove incentives to over treat or stop caring for patients with resistant hypertension.

Four concepts of health in America: results of national surveys.

Our objective was to determine how large, random samples of Americans define health. Two questions were used to ascertain concepts of health: Are you healthy? and How do you know? (What does health mean to you?) These questions were added to omnibus telephone surveys conducted with two random samples of adults from the 48 contiguous United States: one in 1995 (N = 1,000); the other in 2002 (N = 1,011). The surveys also collected demographic data. This study focuses on cases with complete data (N = 950 in 1995, N = 967 in 2002). In both survey samples, more than 92% of respondents reported that they were healthy. Four distinct conceptions of health emerged from responses to the "how do you know" question: physical, psychosocial, capacity, and control. While prevalence varied with survey year as well as respondent age and education, these four concepts were evident in both 1995 and 2002. There are four robust concepts of health in America. Ongoing attention to these concepts may enhance efforts to communicate about and improve health.

A highly specific algorithm for identifying asthma cases and controls for genome-wide association studies.

Our aim was to identify asthmatic patients as cases, and healthy patients as controls, for genome-wide association studies (GWAS), using readily available data from electronic medical records. For GWAS, high specificity is required to accurately identify genotype-phenotype correlations. We developed two algorithms using a combination of diagnoses, medications, and smoking history. By applying stringent criteria for source and specificity of the data we achieved a 95% positive predictive value and 96% negative predictive value for identification of asthma cases and controls compared against clinician review. We achieved a high specificity but at the loss of approximately 24% of the initial number of potential asthma cases we found. However, by standardizing and applying our algorithm across multiple sites, the high number of cases needed for a GWAS could be achieved.

Patients with worse mental health report more physical limitations after adjustment for physical performance.

OBJECTIVE: To determine whether mental health scores are associated with self-reported physical limitations after adjustment for physical performance. Patient-reported physical limitations are widely used to assess health status or the impact of disease. However, patients' mental health may influence their reports of their physical limitations. METHODS: Mental health and physical limitations were measured using the SF-36v2 mental health and physical functioning subscales in a cross-sectional study of 1024 participants. Physical performance was measured using tests of strength, endurance, dexterity, and flexibility. Multivariable linear regression was performed to examine the relationship between self-reported mental health and physical limitations adjusting for age, gender, race/ethnicity, education, body mass index, and measured physical performance. RESULTS: The score distributions for mental health and physical functioning were similar to that of the United States population in this age range. In unadjusted analyses, every 10-point decline in mental health scores was associated with a 4.8-point decline in physical functioning scores (95% Confidence Interval (CI) = -4.2 to -5.3; p < .001). After adjusting for covariables including measured physical performance, every 10-point decline in mental health scores was associated with a 3.0-point decline in physical functioning scores (95% CI = -2.5 to -3.6; p < .001). CONCLUSIONS: People with poor mental health scores seem to report more physical limitations than would be expected based on physical performance. When comparing self-reported physical limitations between groups, it is important to consider differences in mental health.

Effect of a hospitalist-care coordinator team on a nonteaching hospitalist service.

BACKGROUND: Although many hospitalists work with clinical coordinators, few studies have evaluated their impact. OBJECTIVE: The purpose of the study was to evaluate the impact of a hospitalist-care coordinator team on hospitalist work experience, patient satisfaction, and hospital efficiency. DESIGN AND PARTICIPANTS: During each of 12 weeks, hospitalists on a nonteaching hospitalist service were randomly assigned to work with a hospitalist care coordinator (HCC) or to work independently. MEASUREMENTS: Each week hospitalists completed a survey to assess their satisfaction and perceived work efficiency. Patient satisfaction with hospital discharge was assessed by telephone interviews. Hospital efficiency was analyzed with multivariate linear regression using log-transformed length of stay (LOS) and cost as dependent variables. RESULTS: The 356 patients cared for by hospitalist-HCC teams were similar to 337 patients cared for by control hospitalists. Twenty-eight of 31 hospitalists (90%) who worked with an HCC responded that the HCC improved their efficiency and job satisfaction. Seventy-one of 196 eligible patients (36%) completed the postdischarge interview. The mean ratings of overall satisfaction with hospital discharge on a scale of 10 were similarly high in both groups (8.57 vs. 8.37; P = .94). In multivariate regression analyses, LOS was 0.28 days shorter and cost was $585.62 lower for patients cared for by hospitalist-HCC teams; however, these results were not statistically significant (P = .17 and .15, respectively). CONCLUSIONS: Hospitalists working in a team approach with an HCC reported improved efficiency and job satisfaction compared with hospitalists working independently. These findings are important in light of growing concerns about hospitalist workload and job satisfaction.

Health literacy, cognitive abilities, and mortality among elderly persons.

BACKGROUND: Low health literacy and low cognitive abilities both predict mortality, but no study has jointly examined these relationships. METHODS: We conducted a prospective cohort study of 3,260 community-dwelling adults age 65 and older. Participants were interviewed in 1997 and administered the Short Test of Functional Health Literacy in Adults and the Mini Mental Status Examination. Mortality was determined using the National Death Index through 2003. MEASUREMENTS AND MAIN RESULTS: In multivariate models with only literacy (not cognition), the adjusted hazard ratio was 1.50 (95% confidence of interval [CI] 1.24-1.81) for inadequate versus adequate literacy. In multivariate models without literacy, delayed recall of 3 items and the ability to serial subtract numbers were associated with higher mortality (e.g., adjusted hazard ratios [AHR] 1.74 [95% CI 1.30-2.34] for recall of zero versus 3 items, and 1.32 [95% CI 1.09-1.60] for 0-2 vs 5 correct subtractions). In multivariate analysis with both literacy and cognition, the AHRs for the cognition items were similar, but the AHR for inadequate literacy decreased to 1.27 (95% CI 1.03 - 1.57). CONCLUSIONS: Both health literacy and cognitive abilities independently predict mortality. Interventions to improve patient knowledge and self-management skills should consider both the reading level and cognitive demands of the materials.

Attitudes toward health care providers, collecting information about patients' race, ethnicity, and language.

BACKGROUND: Experts recommend that health care providers (HCPs) collect patients' race/ethnicity and language, but we know little about public attitudes towards this. OBJECTIVES: To determine attitudes towards HCPs collecting race/ethnicity and language data. PARTICIPANTS: A telephone survey was held with 563 Californians, including 105 whites, 97 blacks, 199 Hispanics (162 Spanish-speaking), 129 Asians (73 Chinese-speaking), and 33 multiracial individuals. MEASURES: Attitudes towards HCPs asking patients their race/ethnicity and preferred language, concerns about providing their own information, reactions to statements explaining the rationale for data collection, and attitudes towards possible policies. RESULTS: Most (87.8%) somewhat or strongly agreed that HCPs should collect race/ethnicity information and use this to monitor disparities, and 73.6% supported state legislation requiring this. Support for collection of patients' preferred language was even higher. However, 17.2% were uncomfortable (score 1-4 on 10-point scale) reporting their own race/ethnicity, and 46.3% of participants were somewhat or very worried that providing information could be used to discriminate against them. In addition, 35.9% of Hispanics were uncomfortable reporting their English proficiency. All statements explaining the rationale for data collection modestly increased participants' comfort level; the statement that this would be used for staff training increased comfort the most. CONCLUSIONS: Although most surveyed believe that HCPs should collect information about race/ethnicity and language, many feel uncomfortable giving this information and worry it could be misused. Statements explaining the rationale for collecting data may assuage concerns, but community engagement and legislation to prevent misuse may be needed to gain more widespread trust and comfort.