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3.
Pediatrics ; 123 Suppl 2: S80-4, 2009 Jan.
Article in English | MEDLINE | ID: mdl-19088234

ABSTRACT

OBJECTIVE: The purpose of this study was to examine the adoption of health information technology by children's hospitals and to document barriers and priorities as they relate to health information technology adoption. METHODS: Primary data of interest were obtained through the use of a survey instrument distributed to the chief information officers of 199 children's hospitals in the United States. Data were collected on current and future use of a variety of clinical health information technology and telemedicine applications, organizational priorities, barriers to use of health information technology, and hospital and chief information officer characteristics. RESULTS: Among the 109 responding hospitals (55%), common clinical applications included clinical scheduling (86.2%), transcription (85.3%), and pharmacy (81.9%) and laboratory (80.7%) information. Electronic health records (48.6%), computerized order entry (40.4%), and clinical decision support systems (35.8%) were less common. The most common barriers to health information technology adoption were vendors' inability to deliver products or services to satisfaction (85.4%), lack of staffing resources (82.3%), and difficulty in achieving end-user acceptance (80.2%). The most frequent priority for hospitals was to implement technology to reduce medical errors or to promote safety (72.5%). CONCLUSION: This first national look at health information technology use by children's hospitals demonstrates the progress in health information technology adoption, current barriers, and priorities for these institutions. In addition, the findings can serve as important benchmarks for future study in this area.


Subject(s)
Child Health Services/statistics & numerical data , Hospital Information Systems/statistics & numerical data , Hospitals, Pediatric , Medical Informatics/statistics & numerical data , Child , Child Health Services/trends , Forecasting , Health Personnel , Hospital Bed Capacity , Humans , Medical Informatics/trends , Surveys and Questionnaires , Telemedicine/statistics & numerical data , Telemedicine/trends , United States
4.
J Healthc Qual ; 30(5): 4-11, 2008.
Article in English | MEDLINE | ID: mdl-18831471

ABSTRACT

The need for measures of the quality of healthcare provided to children and adolescents is well documented. However, children have been underrepresented in national healthcare quality measurement and reporting efforts. The Pediatric Data Quality Systems (Pedi-QS) Collaborative is addressing this gap. Two consensus measure sets and an assessment of nursing-sensitive indicators in pediatric care have been produced through the collaborative. The framework and measure set development process are described. Lessons learned from applying the process are summarized, and future directions are suggested. Voluntary collaborative efforts are vital for advancing children's measures, and national support and funding are also needed.


Subject(s)
Bias , Child Care/standards , Cooperative Behavior , Quality Assurance, Health Care/standards , Adolescent , Child , Humans , Models, Organizational , Pediatrics/standards , Quality Assurance, Health Care/classification , Quality Assurance, Health Care/organization & administration , United States
5.
Pediatr Clin North Am ; 53(6): 1231-51, 2006 Dec.
Article in English | MEDLINE | ID: mdl-17126693

ABSTRACT

In December 2004, the Institute for Healthcare Improvement launched a campaign to save 100,000 lives by implementing evidence-based interventions in six areas, five of which are relevant to children. Working collaboratively, the Child Health Corporation of America, National Associate of Children's Hospitals and Related Institutions, and National Initiative for Children's Health Care Quality provided a series of Web-enabled seminars on how the campaign initiatives might be adapted for pediatric settings. Ventilator-associated pneumonia (VAP) is an example of how interventions based on evidence in adult settings may need to be tailored in pediatric settings. The authors describe how assessing and implementing parts of the VAP bundle led to reduction in VAP in two children's hospitals.


Subject(s)
Health Promotion/organization & administration , Pneumonia, Ventilator-Associated/diagnosis , Pneumonia, Ventilator-Associated/prevention & control , Practice Guidelines as Topic , Adolescent , Adult , Child , Humans , Pneumonia, Ventilator-Associated/etiology
6.
Pediatrics ; 115(1): 135-45, 2005 Jan.
Article in English | MEDLINE | ID: mdl-15579669

ABSTRACT

OBJECTIVES: Patient safety indicators (PSIs) were developed by the Agency for Healthcare Research and Quality. Our objectives were (1) to apply these algorithms to the National Association of Children's Hospitals and Related Institutions (NACHRI) Aggregate Case Mix Comparative Database for 1999-2002, (2) to establish mean rates for each of the PSI events in children's hospitals, (3) to investigate the inadequacies of PSIs in relation to pediatric diagnoses, and (4) to express the data in such a way that children's hospitals could use the PSIs determined to be appropriate for pediatric use for comparison with their own data. In addition, we wanted to use the data to set priorities for ongoing clinical investigations and to propose interventions if the indicators demonstrated preventable errors. METHODS: The Agency for Healthcare Research and Quality PSI algorithms (version 2.1, revision 1) were applied to children's hospital administrative data (1.92 million discharges) from the NACHRI Aggregate Case Mix Comparative Database for 1999-2002. Rates were measured for the following events: complications of anesthesia, death in low-mortality diagnosis-related groups (DRGs), decubitus ulcer, failure to rescue (ie, death resulting from a complication, rather than the primary diagnosis), foreign body left in during a procedure, iatrogenic pneumothorax, infection attributable to medical care (ie, infections related to surgery or device placement), postoperative hemorrhage or hematoma, postoperative pulmonary embolism or venous thrombosis, postoperative wound dehiscence, and accidental puncture/laceration. RESULTS: Across the 4 years of data, the mean risk-adjusted rates of PSI events ranged from 0.01% (0.1 event per 1000 discharges) for a foreign body left in during a procedure to 14.0% (140 events per 1000 discharges) for failure to rescue. Review of International Classification of Diseases, Ninth Revision, Clinical Modification codes associated with each PSI category showed that the failure to rescue and death in low-mortality DRG indicators involved very complex cases and did not predict preventable events in the majority of cases. The PSI for infection attributable to medical care appeared to be accurate the majority of the time. Incident risk-adjusted rates of infections attributable to medical care averaged 0.35% (3.5 events per 1000 discharges) and varied up to fivefold from the lowest rate to the highest rate. The highest rates were up to 1.8 times the average. CONCLUSIONS: PSIs derived from administrative data are indicators of patient safety concerns and can be relevant as screening tools for children's hospitals; however, cases identified by these indicators do not always represent preventable events. Some, such as a foreign body left in during a procedure, iatrogenic pneumothorax, infection attributable to medical care, decubitus ulcer, and venous thrombosis, seem to be appropriate for pediatric care and may be directly amenable to system changes. Evidence-based practices regarding those particular indicators that have been reported in the adult literature need to be investigated in the pediatric population. In their present form, 2 of the indicators, namely, failure to rescue and death in low-mortality DRGs, are inaccurate for the pediatric population, do not represent preventable errors in the majority of pediatric cases, and should not be used to estimate quality of care or preventable deaths in children's hospitals. The PSIs can assist institutions in prioritizing chart review-based investigations; if clusters of validated events emerge in reviews, then improvement activities can be initiated. Large aggregate databases, such as the NACHRI Case Mix Database, can help establish mean rates of potential pediatric events, giving children's hospitals a context within which to examine their own data.


Subject(s)
Hospitals, Pediatric/statistics & numerical data , Iatrogenic Disease/epidemiology , Medical Errors/statistics & numerical data , Quality Indicators, Health Care , Algorithms , Anesthesia/adverse effects , Cross Infection/epidemiology , Databases, Factual , Diagnosis-Related Groups , Health Services Research , Hospitals, Pediatric/standards , Humans , Safety Management , Software , United States , United States Agency for Healthcare Research and Quality
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