Transparency in health care: leading the way.

A one-day conference sponsored by Dartmouth-Hitchcock Medical Center focused on external transparency (sharing data outside an organization) also featured discussion of internal transparency (sharing data inside an organization).

Publicly reporting comprehensive quality and cost data: a health care system's transparency initiative.

BACKGROUND: Transparency in health care, including the public reporting of health care results, is an expanding and unstoppable phenomenon. Health care systems have an opportunity to: (1) be proactive and accountable for the care they provide, (2) help patients learn more about their condition as a supplement to understanding the performance measures, and (3) use public reporting to foster process of care and outcome improvement initiatives. An overview is provided of the first 22 months of a transparency initiative at Dartmouth-Hitchcock Medical Center (DHMC). LAUNCHING THE TRANSPARENCY INITIATIVE: An interdisciplinary operations group works with the various clinical programs--both providers and patients--to identify what quality and cost measures are most desired by patients and what measures are the focus of the clinical program's internal measurement and reporting processes. The measures are presented on the DHMC Web site, with access to additional resources, such as clinical decision aids. DISCUSSION: A variety of factors are important to the transparency initiative--senior leaders' perceptions, risk management issues, resources required for the design and maintenance of the initiative, and developing both methodological protocols and technical systems.

Using patient-reported outcomes in routine practice: three novel use cases and implications.

Patient-reported outcomes (PROs) can show how patients perceive their illness burden over time. Active use of PROs by clinicians at the point of service can help illuminate the patients' longitudinal changes in outcomes, thereby advancing shared decision making, patient engagement, and self-care. This article offers principles and lessons learned from using PROs and provides 3 case studies to demonstrate how to overcome the challenges in using PROs in routine clinical practice to improve outcomes. These cases demonstrate that it is possible to embed patient-generated data into the flow of care and to track outcomes for improvement and research.

Hospital utilization for ambulatory care sensitive conditions: health outcome disparities associated with race and ethnicity.

Our study examines associations between race and ethnicity and hospitalization for ambulatory care sensitive (ACS) conditions for working age adults, and for individuals age 65 or older. We use ACS hospitalization as an outcome indicator to evaluate access to primary care. The prevalence of ACS conditions in the population, including those not hospitalized, and the occurrence of ACS and non-ACS hospitalization, are estimated using nationally representative data from the 1997 US Medical Expenditure Panel Survey. We calculate population-based relative rates of ACS hospitalization using the 1997 Nationwide Inpatient Sample, a large sample of United States' community hospitals, and the US Census. We investigate the sensitivity of these relative rates to the inclusion of conditions for which hospitalization varies notably across areas, and adjust the rates for both underlying hospitalization patterns for non-ACS conditions, and for disease prevalence in the population groups studied. The analyses consistently show that African Americans and Hispanics have significantly higher rates of ACS hospitalization than non-Hispanic whites. This result applies to women and men, and both age groups studied. These higher rates persist after adjusting for disease prevalence and non-ACS admission rates, and for the inclusion of high variation conditions.

Potentially avoidable maternity complications: an indicator of access to prenatal and primary care during pregnancy.

OBJECTIVE: We identified Potentially Avoidable Maternity Complications (PAMCs). Used with hospital discharge data, PAMCs may indicate lack of prenatal care access. METHODS: A research team of two obstetrician/gynecologists and three health services researchers developed the PAMC indicator, which was verified by external review. AIM 1 used the National Maternal and Infant Health Survey, with prenatal care information and 8,661 pregnancy hospitalizations, to examine associations between prenatal care, risk factors, and PAMCs. AIM 2 used the 1997 Nationwide Inpatient Sample (NIS), with 895,259 pregnancy-related hospitalizations, to examine PAMC risks for groups likely to have prenatal care access problems. RESULTS: In AIM 1, adequate prenatal care reduced PAMC risks by 57% (p < .01). Compared to nonsmokers, the odds of a PAMC for smokers were 86% higher (p < .01). Cocaine use increased PAMC risk notably (odds ratio 3.35, p < .0001). In the multivariate analyses of AIM 2, African Americans, the uninsured, and Medicaid beneficiaries had high PAMC risks (all p < .0001). CONCLUSIONS: Findings suggest adequate prenatal care may reduce PAMC risks. Results for groups with less prenatal care access were consistent with previous research using less refined indicators, such as low birth weight. PAMCs improve on earlier measures, and readily permit adjustments for mothers' ages and comorbidities.