ABSTRACT
PURPOSE OF REVIEW: There is a growing awareness of the importance of cultural competency in pediatrics. The authors review the most recent studies that examine the impact of cultural competency on general pediatric care, explore cultural beliefs and practices affecting clinical care, and describe culturally sensitive interventions designed to address racial/ethnic health disparities. RECENT FINDINGS: The beneficial effects of cultural competency embrace health outcomes, quality of care, and patient satisfaction, while failure to consider language and culture can have serious adverse consequences for clinical care, including patient safety and healthcare access. A five-component model of cultural competency has been developed, and a growing literature details an array of normative cultural values, folk illnesses, parent beliefs/practices, and provider behaviors that can have a profound impact on pediatric care. Culturally sensitive interventions are being developed to lessen racial/ethnic health disparities. SUMMARY: A goal for the pediatrician is to provide culturally competent healthcare by using trained medical interpreters with limited English-proficient families, being familiar with normative cultural values that affect the healthcare of commonly encountered racial/ethnic groups, and asking about folk illness beliefs and ethnomedical treatments.
Subject(s)
Cultural Competency , Delivery of Health Care/standards , Pediatrics/standards , Attitude of Health Personnel , Cultural Competency/psychology , Culture , Humans , Language , Practice Guidelines as Topic , United StatesABSTRACT
OBJECTIVE: To determine baseline levels of medication errors and their root causes so as to highlight areas of potential process improvements and serve as a ruler against which to measure future improvements. DESIGN: A prospective pharmacist intervention study determining errors in 1014 medication orders at Baylor University Medical Center. Only errors in the process of medication ordering were documented; errors in drug administration were not considered. Root causes of errors were examined. RESULTS: The baseline medication error rate was 111.4 per 1000 orders (n = 1014). Most common were dosing errors (43.4 per 1000 orders), followed by frequency errors (19.7 per 1000 orders) and unavailable drug errors (12.8 per 1000 orders). Of the 113 total errors found, 52 (46%) had a transcription-based cause, i.e., an error in inputting the handwritten physician order into a computer system. System- or process-related root causes (such as duplicate orders or lack of crossover from one information system to another) accounted for 35.4% of the errors, and prescribing based causes (such as wrong dosage or nonformulary drugs) accounted for 18.6% of errors. CONCLUSIONS: Implementing a computerized physician order entry (CPOE) system would eliminate order-entry transcription-based errors. Its ability to resolve system/process-based and prescribing-based root causes of error is not as clear. Furthermore, the modification of processes due to implementation of CPOE could lead to new types of errors. Present processes must be redesigned according to evidence-based medicine, and future processes must be anticipated as technological changes occur. Such efforts-rather than outright reliance on technology--are more likely to lead to an error-free environment after CPOE is implemented.