ABSTRACT
BACKGROUND: Postoperative infections contribute substantially to morbidity and mortality after congenital heart disease surgery and are often preventable. We sought to identify risk factors for postoperative infection and the impact on outcomes after congenital heart surgery, using data from the International Quality Improvement Collaborative for Congenital Heart Surgery in Developing World Countries. METHODS AND RESULTS: Pediatric cardiac surgical cases performed between 2010 and 2012 at 27 participating sites in 16 developing countries were included. Key variables were audited during site visits. Demographics, preoperative, procedural, surgical complexity, and outcome data were analyzed. Univariate and multivariable logistic regression were used to identify risk factors for infection, including bacterial sepsis and surgical site infection, and other clinical outcomes. Standardized infection ratios were computed to track progress over time. Of 14 545 cases, 793 (5.5%) had bacterial sepsis and 306 (2.1%) had surgical site infection. In-hospital mortality was significantly higher among cases with infection than among those without infection (16.7% versus 5.3%; P<0.001), as were postoperative ventilation duration (80 versus 14 hours; P<0.001) and intensive care unit stay (216 versus 68 hours; P<0.001). Younger age at surgery, higher surgical complexity, lower oxygen saturation, and major medical illness were independent risk factors for infection. The overall standardized infection ratio was 0.65 (95% confidence interval, 0.58-0.73) in 2011 and 0.59 (95% confidence interval, 0.54-0.64) in 2012, compared with that in 2010. CONCLUSIONS: Postoperative infections contribute to mortality and morbidity after congenital heart surgery. Younger, more complex patients are at particular risk. Quality improvement targeted at infection risk may reduce morbidity and mortality in the developing world.
Subject(s)
Cardiac Surgical Procedures/adverse effects , Cross Infection/epidemiology , Developing Countries , Heart Defects, Congenital/surgery , Quality Improvement , Quality Indicators, Health Care , Sepsis/epidemiology , Surgical Wound Infection/epidemiology , Adolescent , Cardiac Surgical Procedures/mortality , Child , Child, Preschool , Cross Infection/microbiology , Cross Infection/mortality , Cross Infection/therapy , Databases, Factual , Female , Heart Defects, Congenital/mortality , Hospital Mortality , Humans , Infant , Infant, Newborn , Logistic Models , Male , Medical Audit , Multivariate Analysis , Odds Ratio , Program Evaluation , Risk Factors , Sepsis/microbiology , Sepsis/mortality , Sepsis/therapy , Surgical Wound Infection/microbiology , Surgical Wound Infection/mortality , Surgical Wound Infection/therapy , Time Factors , Treatment OutcomeABSTRACT
OBJECTIVE: To study the psychometric properties of the Pediatric Inpatient Experience Survey (PIES), a mail and phone survey for parent reporting of family-centered aspects of inpatient care experiences. DESIGN: Two waves of cross-sectional survey data were collected by mail and phone in 2009 to design a measurement instrument with good psychometric characteristics. Additional cross-sectional data from a mail administration in 2011 confirmed the measurement domains. SETTING: Free-standing pediatric hospital in the northeastern USA. PARTICIPANTS: A convenience sample of English-speaking parents of hospitalized children, stratified by patient type (medical versus surgical) and previous stays at this hospital (yes versus no), constituted the instrument design phase. Four hundred and seventy-nine (63%) of those approached agreed to participate and were randomly assigned to mail or phone survey administration. Four hundred and one of these respondents completed the first wave of the survey and 354 respondents completed the second wave. A shortened instrument was mailed to parents randomly selected from patient discharge records. Data from 929 parents (response rate: 36.2%) were used for confirmatory analysis of the created measurement domains. MAIN OUTCOME MEASURES: The main outcome measures of this psychometric validation study were individual item performance, test-retest reliability, internal consistency, and construct validity. RESULTS: The resulting survey includes 61 items with 35 rating items with satisfactory test-retest reliability loading on eight domains. The factor structure was supported by Cronbach's alpha and confirmatory factor analysis. The survey supported construct validity in distinguishing between medical versus surgical and first time versus previous hospital stay groups known to differ with regard to satisfaction. Comparing mail and phone administrations, differences in scores were exacerbated in domain scores and showed the need for mode adjustment. CONCLUSION: PIES shows satisfactory test-retest reliability, internal consistency, and construct validity. A new domain measuring emotional connectedness to staff and the hospital is highly correlated with overall satisfaction.
