Biomedical subjects

Marlene Miller

Publications and source records attributed to Marlene Miller.

4 recordsLinked to original sources

PubMed2006

A web-based tool for the Comprehensive Unit-based Safety Program (CUSP).

BACKGROUND: An organization's ability to change is driven by its culture, which in turn has a significant impact on safety. The six-step Comprehensive Unit-Based Safety Program (CUSP) is intended to improve local culture and safety. A Web-based project management tool for CUSP was developed and then pilot tested at two hospitals. HOW ECUSP WORKS: Once a patient safety concern is identified (step 3), a unit-level interdisciplinary safety committee determines issue criticality and starts up the projects (step 4), which are managed using project management tools within eCUSP (step 5). On a project's completion, the results are disseminated through a shared story (step 6). CASE STUDIES: OSF St. Joseph's Medical Center-The Medical Birthing Center (Bloomington, Illinois), identified 11 safety issues, implemented 11 projects, and created 9 shared stories--including one for its Armband Project. The Johns Hopkins Hospital (Baltimore) Medical Progressive Care (MPC4) Unit identified 5 safety issues and implemented 4 ongoing projects, including the intravenous (IV) Tubing Compliance Project. DISCUSSION: The eCUSP tool's success depends on an organizational commitment to creating a culture of safety.

Health Facilities↗

PubMed2006

How will we know patients are safer? An organization-wide approach to measuring and improving safety.

OBJECTIVE: Our institution, like many, is struggling to develop measures that answer the question, How do we know we are safer? Our objectives are to present a framework to evaluate performance in patient safety and describe how we applied this model in intensive care units. DESIGN: We focus on measures of safety rather than broader measures of quality. The measures will allow health care organizations to evaluate whether they are safer now than in the past by answering the following questions: How often do we harm patients? How often do patients receive the appropriate interventions? How do we know we learned from defects? How well have we created a culture of safety? The first two measures are rate based, whereas the latter two are qualitative. To improve care within institutions, caregivers must be engaged, must participate in the selection and development of measures, and must receive feedback regarding their performance. The following attributes should be considered when evaluating potential safety measures: Measures must be important to the organization, must be valid (represent what they intend to measure), must be reliable (produce similar results when used repeatedly), must be feasible (affordable to collect data), must be usable for the people expected to employ the data to improve safety, and must have universal applicability within the entire institution. SETTING: Health care institutions. RESULTS: Health care currently lacks a robust safety score card. We developed four aggregate measures of patient safety and present how we applied them to intensive care units in an academic medical center. The same measures are being applied to nearly 200 intensive care units as part of ongoing collaborative projects. The measures include how often do we harm patients, how often do we do what we should (i.e., use evidence-based medicine), how do we know we learned from mistakes, and how well do we improve culture. Measures collected by different departments can then be aggregated to provide a hospital level safety score card. CONCLUSION: The science of measuring patient safety is immature. This article is a starting point for developing feasible and scientifically sound approaches to measure safety within an institution. Institutions will need to find a balance between measures that are scientifically sound, affordable, usable, and easily applied across the institution.

Forecasting↗

PubMed2005

Potential medication dosing errors in outpatient pediatrics.

OBJECTIVE: To determine the prevalence of potential dosing errors of medication dispensed to children for 22 common medications. STUDY DESIGN: Using automated pharmacy data from 3 health maintenance organizations (HMOs), we randomly selected up to 120 children with a new dispensing prescription for each drug of interest, giving 1933 study subjects. Errors were defined as potential overdoses or potential underdoses. Error rate in 2 HMOs that use paper prescriptions was compared with 1 HMO that uses an electronic prescription writer. RESULTS: Approximately 15% of children were dispensed a medication with a potential dosing error: 8% were potential overdoses and 7% were potential underdoses. Among children weighing <35 kg, only 67% of doses were dispensed within recommended dosing ranges, and more than 1% were dispensed at more than twice the recommended maximum dose. Analgesics were most likely to be potentially overdosed (15%), whereas antiepileptics were most likely potentially underdosed (20%). Potential error rates were not lower at the site with an electronic prescription writer. CONCLUSIONS: Potential medication dosing errors occur frequently in outpatient pediatrics. Studies on the clinical impact of these potential errors and effective error prevention strategies are needed.

Adolescent↗

PubMed2004

How can clinicians measure safety and quality in acute care?

The demand for high quality care is increasing and warranted. Evidence suggests that the quality of care in hospitals can be improved. The greatest opportunity to improve outcomes for patients over the next quarter century will probably come not from discovering new treatments but from learning how to deliver existing effective therapies. To improve, caregivers need to know what to do, how they are doing, and be able to improve the processes of care. The ability to monitor performance, though challenging in healthcare, is essential to improving quality of care. We present a practical method to assess and learn from routine practice. Methods to evaluate performance from industrial engineering can be broadly applied to efforts to improve the quality of healthcare. One method that may help to provide caregivers frequent feedback is time series data--ie, results are graphically correlated with time. Broad use of these tools might lead to the necessary improvements in quality of care.

Critical Care↗