BACKGROUND: Less than one third of the 65 million Americans with hypertension have adequate blood pressure (BP) control. This study examined the effectiveness of 2 interventions for improving patient BP control. METHODS: This was a 2-level (primary care provider and patient) cluster randomized trial with 2-year follow-up occurring among patients with hypertension enrolled from a Veterans Affairs Medical Center primary care clinic. Primary care providers (n = 17) in the intervention received computer-generated decision support designed to improve guideline concordant medical therapy at each visit; control providers (n = 15) received a reminder at each visit. Patients received usual care or a bimonthly tailored nurse-delivered behavioral telephone intervention to improve hypertension treatment. The primary outcome was proportion of patients who achieved a BP <140/90 mm Hg (<130/85 for diabetic patients) over the 24-month intervention. RESULTS: Of the 816 eligible patients contacted, 190 refused and 38 were excluded. The 588 enrolled patients had a mean age of 63 years, 43% had adequate baseline BP control, and 482 (82%) completed the 24-month follow-up. There were no significant differences in amount of change in BP control in the 3 intervention groups as compared to the hypertension reminder control group. In secondary analyses, rates of BP control for all patients receiving the patient behavioral intervention (n = 294) improved from 40.1% to 54.4% at 24 months (P = .03); patients in the nonbehavioral intervention group improved from 38.2% to 43.9% (P = .38), but there was no between-group differences at the end of the study. CONCLUSION: The brief behavioral intervention showed improved outcomes over time, but there were not significant between group differences.

Objectives From 1994 to the year 2000 the government of Puerto Rico implemented a health care reform which included the mandatory enrollment of the entire Medicaid eligible population under Medicaid managed care (MMC) plans. This study assessed the effect of MMC on the use, initiation, utilization, and adequacy of prenatal care services over the reform period.

Methods Using the vital records of all infants born alive in Puerto Rico from the year 1995-2000, a series of bivariate and multivariate analyses were conducted to assess the effect of insurance status (traditional Medicaid, MMC, private insurance and uninsured) on prenatal care utilization patterns. In order to assess the potential influence of selection bias in generating the health insurance assignments, propensity scores (PS) were estimated and entered into the multivariate regressions.

Results MMC had a generally positive effect on the frequency and adequacy of prenatal care when compared with the experience of women covered by traditional Medicaid. However, the PS analyses suggested that self-selection may have generated part of the observed beneficial effects. Also, MMC reduced but did not eliminate the gap in the amount and adequacy of prenatal care received by pregnant women covered by Medicaid when compared to their counterparts covered by private insurance.

Conclusions The Puerto Rico Health Reform to implement MMC for pregnant women was associated with a general improvement in prenatal care utilization. However, continued progress will be necessary for women covered by Medicaid to reach prenatal care utilization levels experienced by privately insured women.

Nationally representative data on the quality of care for obese patients in US-ambulatory care settings are limited. We conducted a cross-sectional analysis of the 2005 and 2006 National Ambulatory Medical Care Survey (NAMCS). We examined obesity screening, diagnosis, and counseling during adult visits and associations with patient and provider characteristics. We also assessed performance on 15 previously published ambulatory quality indicators for obese vs. normal/overweight patients. Nearly 50% (95% confidence interval (CI): 46–54%) of visits lacked complete height and weight data needed to screen for obesity using BMI. Of visits by patients with clinical obesity (BMI ≥30.0 kg/m²), 70% (66–74%) were not diagnosed and 63% (59–68%) received no counseling for diet, exercise, or weight reduction. The percentage of visits not being screened (48%), diagnosed (66%), or counseled (54%) for obesity was also notably higher than expected even for patients with known obesity comorbidities. Performance (defined as the percentage of applicable visits receiving appropriate care) on the quality indicators was suboptimal overall. In particular, performance was no better than 50% for eight quality indicators, which are all related to the prevention and treatment of obesity comorbidities, e.g., coronary artery disease, hypertension, hyperlipidemia, asthma, and depression. Performance did not differ by weight status for any of the 15 quality indicators; however, poorer performance was consistently associated with lack of height and weight measurements. In conclusion, many opportunities are missed for obesity screening and diagnosis, as well as for the prevention and treatment of obesity comorbidities, in office-based practices across the United States, regardless of patient and provider characteristics.

Fuchs argues that health reform must encompass the Four Cs in order to succeed: coverage, cost control, coordinated care and choice. While details are certainly important, Fuchs writes, Congress and the Obama Administration must remember that "God is in the essentials." Without the essentials, no reform plan can succeed.

Background: Effective disaster preparedness requires coordination across multiple organizations. This article describes a detailed framework developed through the BioNet program to facilitate coordination of bioterrorism preparedness planning among military and civilian decision makers.

Methods: The authors and colleagues conducted a series of semistructured interviews with civilian and military decision makers from public health, emergency management, hazardous material response, law enforcement, and military health in the San Diego area. Decision makers used a software tool that simulated a hypothetical anthrax attack, which allowed them to assess the effects of a variety of response actions (eg, issuing warnings to the public, establishing prophylaxis distribution centers) on performance metrics. From these interviews, the authors characterized the information sources, technologies, plans, and communication channels that would be used for bioterrorism planning and responses. The authors used influence diagram notation to describe the key bioterrorism response decisions, the probabilistic factors affecting these decisions, and the response outcomes.

Results: The authors present an overview of the response framework and provide a detailed assessment of two key phases of the decision-making process:

1. pre-event planning and investment and
   
2. incident characterization and initial responsive measures.
   

The framework enables planners to articulate current conditions; identify gaps in existing policies, technologies, information resources, and relationships with other response organizations; and explore the implications of potential system enhancements.

Conclusions: Use of this framework could help decision makers execute a locally coordinated response by identifying the critical cues of a potential bioterrorism event, the information needed to make effective response decisions, and the potential effects of various decision alternatives. Key words: bioterrorism, decision making, organization and administration, regional health planning

OBJECTIVE: To assess and compare alternative approaches of measuring preference-based health-related quality of life (HRQoL) in treatment-experienced HIV patients and evaluate their association with health status and clinical variables. DESIGN: Cross-sectional study.

SETTING: Twenty-eight Veterans Affairs hospitals in the United States, 13 hospitals in Canada, and 8 hospitals in the United Kingdom.

PATIENTS: Three hundred sixty-eight treatment-experienced HIV-infected patients enrolled in the Options in Management with Antiretrovirals randomized trial.

MEASUREMENTS: Baseline sociodemographic and clinical indicators and baseline HRQoL using the Medical Outcome Study HIV Health Survey (MOS-HIV), the EQ-5D, the EQ-5D visual analog scale (EQ-5D VAS), the Health Utilities Index Mark 3 (HUI3), and standard gamble (SG) and time trade-off (TTO) techniques. RESULTS: The mean (SD) baseline HRQoL scores were as follows: MOS-HIV physical health summary score 41.70 (11.16), MOS-HIV mental health summary score 44.76 (11.38), EQ-5D 0.77 (0.19), HUI3 0.59 (0.32), EQ-5D VAS 65.94 (21.71), SG 0.75 (0.29), and TTO 0.80 (0.31). Correlations between MOS-HIV summary scores and EQ-5D, EQ-5D VAS, and HUI3 ranged from 0.60 to 0.70; the correlation between EQ-5D and HUI3 was 0.73; and the correlation between SG and TTO was 0.43. Preference-based HRQoL scores were related to physical, mental, social, and overall health as measured by MOS-HIV. Concomitant medication use, CD4 cell count, and HIV viral load were related to some instruments' scores.

CONCLUSIONS: On average, preference-based HRQoL for treatment-experienced HIV patients was decreased relative to national norms but also highly variable. Health status and clinical variables were related to HRQoL.

BACKGROUND: Attention-deficit/hyperactivity disorder, the most common childhood behavioral condition, is one that pediatricians think they should identify and treat/manage. OBJECTIVE: Our goals were to explore the relationships between pediatricians' self-reports of their practice behaviors concerning usually inquiring about and treating/managing attention-deficit/hyperactivity disorder and (1) attitudes regarding perceived responsibility for attention-deficit/hyperactivity disorder and (2) personal and practice characteristics. METHODS: We analyzed data from the 59th Periodic Survey of the American Academy of Pediatrics for the 447 respondents who practice exclusively in general pediatrics. Bivariate and logistic regression analyses were used to identify attitudes and personal and practice characteristics associated with usually identifying and treating/managing attention-deficit/hyperactivity disorder. RESULTS: A total of 67% reported that they usually inquire about and 65% reported that they usually treat/manage attention-deficit/hyperactivity disorder. Factors positively associated with usually inquiring about attention-deficit/hyperactivity disorder in adjusted multivariable analyses include perceived high prevalence among current patients, attendance at a lecture/conference on child mental health in the past 2 years, having patients who are assigned or can select a specific pediatrician, practicing in suburban communities, practicing for > or =10 years, and being female. Pediatricians' attitudes about responsibility for identification of attention-deficit/hyperactivity disorder were not associated with usually inquiring about attention-deficit/hyperactivity disorder in either unadjusted or adjusted analyses. Attitudes about treating/managing attention-deficit/hyperactivity disorder were significantly associated with usually treating/managing attention-deficit/hyperactivity disorder in unadjusted and adjusted analyses. Those who perceived that pediatricians should be responsible for treating/managing had almost 12 times the odds of reporting treating/managing attention-deficit/hyperactivity disorder, whereas those who believe physicians should refer had threefold decreased odds of treating/managing. Other physician/practice characteristics significantly associated with the odds of usually treating/managing attention-deficit/hyperactivity disorder include belief that attention-deficit/hyperactivity disorder is very prevalent among current patients, seeing patients who are assigned or can select a specific pediatrician, and practice location. CONCLUSIONS: Taking responsibility for treating attention-deficit/hyperactivity disorder and practice characteristics seem to be important correlates of pediatrician self-reported behavior toward caring for children with attention-deficit/hyperactivity disorder.