OBJECTIVES: With >6 million hospital stays, costing almost $50 billion annually, hospitalized children represent an important population for which most inpatient quality indicators are not applicable. Our aim was to develop indicators using inpatient administrative data to assess aspects of the quality of inpatient pediatric care and access to quality outpatient care.

METHODS: We adapted the Agency for Healthcare Research and Quality quality indicators, a publicly available set of measurement tools refined previously by our team, for a pediatric population. We systematically reviewed the literature for evidence regarding coding and construct validity specific to children. We then convened 4 expert panels to review and discuss the evidence and asked them to rate each indicator through a 2-stage modified Delphi process. From the 2000 and 2003 Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project Kids' Inpatient Database, we generated national estimates for provider level indicators and for area level indicators.

RESULTS: Panelists recommended 18 indicators for inclusion in the pediatric quality indicator set based on overall usefulness for quality improvement efforts. The indicators included 13 hospital-level indicators, including 11 based on complications, 1 based on mortality, and 1 based on volume, as well as 5 area-level potentially preventable hospitalization indicators. National rates for all 18 of the indicators varied minimally between years. Rates in high-risk strata are notably higher than in the overall groups: in 2003 the decubitus ulcer pediatric quality indicator rate was 3.12 per 1000, whereas patients with limited mobility experienced a rate of 22.83. Trends in rates by age varied across pediatric quality indicators: short-term complications of diabetes increased with age, whereas admissions for gastroenteritis decreased with age.

CONCLUSIONS: Tracking potentially preventable complications and hospitalizations has the potential to help prioritize quality improvement efforts at both local and national levels, although additional validation research is needed to confirm the accuracy of coding.

For the well-insured, obtaining health care in the United States is like dining in a sumptuous restaurant that has menus without prices. A price-free menu encourages diners to ignore cost when making their selections. Similarly, well-insured patients usually don't know the prices of medical services at the time they receive them. Even for common procedures, few hospitals list their charges, much less the accompanying professional fees and the out-of-pocket costs; these are only revealed weeks or months later, when the explanation of benefits statement arrives. Without prices, motivated patients cannot "shop around" for lower-cost providers of care—and even patients who knew the price could not easily learn whether the care represents good value.

High-quality medical care requires implementing evidence-based best practices, with continued monitoring to improve performance. Implementation science is beginning to identify approaches to developing, implementing, and evaluating quality improvement strategies across health care systems that lead to good outcomes for patients. Health information technology has much to contribute to quality improvement for hypertension, particularly as part of multidimensional strategies for improved care. Clinical reminders closely aligned with organizational commitment to quality improvement may be one component of a successful strategy for improving blood pressure control. The ATHENA-Hypertension (Assessment and Treatment of Hypertension: Evidence-based Automation) system is an example of more complex clinical decision support. It is feasible to implement and deploy innovative health information technologies for clinical decision support with features such as clinical data visualizations and evidence to support specific recommendations. Further study is needed to determine the optimal contexts for such systems and their impact on patient outcomes.

The aim of the study was to determine if a pediatric intensive care unit (PICU) daily patient goal sheet would improve communication between health care providers and decrease length of stay (LOS).

MATERIALS AND METHODS: We evaluated a daily patient goal sheet's impact on questionnaire-based measures of effectiveness of communication, nurses' knowledge of physicians in charge, and on LOS in the PICU.

RESULTS: Four hundred nineteen questionnaires were completed by nurses and physicians before goal sheet implementation and 387 after implementation. Nurses and physicians perceived an improved understanding of patient care goals (P < .001), reported increased comfort in explaining patient care goals to parents (P < .001), and listed a higher number of patient care goals after goal sheet implementation (P < .01). Nurses identified the patient's attending physician and fellow with increased accuracy after goal sheet implementation (P < .001). Median PICU LOS was unchanged; however, mean LOS trended toward a reduction after goal sheet implementation (4.1 vs 3.7 days, P = .36). Seventy-six percent of respondents found the goal sheets helpful.

CONCLUSIONS: Using a PICU daily patient goal sheet can improve communication between health care providers, help nurses identify the in-charge physicians, and be helpful for patient care. By explicitly documenting patient care goals, there is enhanced clarity of patient care plans between health care providers.

Background: Timeliness is an important dimension of quality of care for patients with lung cancer.

Methods: We reviewed the records of consecutive patients in whom non-small cell lung cancer (NSCLC) had been diagnosed between January 1, 2002, and December 31, 2003, at the Veterans Affairs Palo Alto Health Care System. We used multivariable statistical methods to identify independent predictors of timely care and examined the effect of timeliness on survival.

Results: We identified 129 veterans with NSCLC (mean age, 67 years; 98% men; 83% white), most of whom had adenocarcinoma (51%) or squamous cell carcinoma (30%). A minority of patients (18%) presented with a solitary pulmonary nodule (SPN). The median time from the initial suspicion of cancer to treatment was 84 days (interquartile range, 38 to 153 days). Independent predictors of treatment within 84 days included hospitalization within 7 days (odds ratio [OR], 8.2; 95% confidence interval [CI], 2.9 to 23), tumor size of > 3.0 cm (OR, 4.8; 95% CI, 1.8 to 12.4), the presence of additional chest radiographic abnormalities (OR, 3.0; 95% CI, 1.1 to 8.5), and the presence of one or more symptoms suggesting metastasis (OR, 2.6; 95% CI, 1.1 to 6.2). More timely care was not associated with better survival time (adjusted hazard ratio, 1.6; 95% CI, 1.3 to 1.9). However, in patients with SPNs, there was a trend toward better survival time when the time to treatment was < 84 days.

Conclusions: The time to treatment for patients with NSCLC was often longer than recommended. Patients with larger tumors, symptoms, and other chest radiographic abnormalities receive more timely care. In patients with malignant SPNs, survival may be better when treatment is initiated promptly.