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B. Mittman (2004)
Creating the Evidence Base for Quality Improvement CollaborativesAnnals of Internal Medicine, 140
S. Bose, E. Oliveras, W. Newcomer, Edson (2001)
How Can Self-Assessment Improve the Quality of Healthcare?
Anja Braend, Sarah Gran, Jan Frich, M. Lindbaek (2010)
Medical students’ clinical performance in general practice – Triangulating assessments from patients, teachers and studentsMedical Teacher, 32
Loes Schouten, M. Hulscher, J. Everdingen, R. Huijsman, R. Grol (2008)
Evidence for the impact of quality improvement collaboratives: systematic reviewBMJ : British Medical Journal, 336
M. Conroy, Nicola Majchrzak, Caroline Silverman, Yuchiao Chang, S. Regan, L. Schneider, N. Rigotti (2005)
Measuring provider adherence to tobacco treatment guidelines: a comparison of electronic medical record review, patient survey, and provider survey.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 7 Suppl 1
N. Falchikov, D. Boud (1989)
Student Self-Assessment in Higher Education: A Meta-AnalysisReview of Educational Research, 59
L. Vos, M. Dückers, C. Wagner, G. Merode (2010)
Applying the quality improvement collaborative method to process redesign: a multiple case studyImplementation Science : IS, 5
A. Viera, J. Garrett (2005)
Understanding interobserver agreement: the kappa statistic.Family medicine, 37 5
T. Houston, T. Wall, Lisa Willet, G. Heudebert, J. Allison (2009)
Can Residents Accurately Abstract Their Own Charts?Academic Medicine, 84
C. Demko, K. Victoroff, S. Wotman (2008)
Concordance of chart and billing data with direct observation in dental practice.Community dentistry and oral epidemiology, 36 5
Michael Harris, J. Schaubroeck (1988)
A meta-analysis of self-supervisor, self-peer, and peer-supervisor ratings.Personnel Psychology, 41
O. John, R. Robins (1994)
Accuracy and bias in self-perception: individual differences in self-enhancement and the role of narcissism.Journal of personality and social psychology, 66 1
J. Hermida, María Robalino (2002)
Increasing compliance with maternal and child care quality standards in Ecuador.International journal for quality in health care : journal of the International Society for Quality in Health Care, 14 Suppl 1
E. Kelley, A. Kelley, C. Simpara, O. Sidibé, M. Makinen (2003)
The impact of self-assessment on provider performance in Mali.The International journal of health planning and management, 18 1
M. Lu, C. Ma (2002)
Consistency in performance evaluation reports and medical records.The journal of mental health policy and economics, 5 4
Y. Tsugawa, Y. Tokuda, S. Ohbu, T. Okubo, R. Cruess, S. Cruess, S. Ohde, Sadamu Okada, N. Hayashida, T. Fukui (2009)
Professionalism Mini‐Evaluation Exercise for medical residents in Japan: a pilot studyMedical Education, 43
ObjectivesHealth care quality improvement (QI) efforts commonly use self-assessment to measure compliance with quality standards. This study investigates the validity of self-assessment of quality indicators.DesignCross sectional.SettingA maternal and newborn care improvement collaborative intervention conducted in health facilities in Ecuador in 2005.ParticipantsFour external evaluators were trained in abstracting medical records to calculate six indicators reflecting compliance with treatment standards.InterventionsAbout 30 medical records per month were examined at 12 participating health facilities for a total of 1875 records. The same records had already been reviewed by QI teams at these facilities (self-assessment).Main Outcome MeasuresOverall compliance, agreement (using the Kappa statistic), sensitivity and specificity were analyzed. We also examined patterns of disagreement and the effect of facility characteristics on levels of agreement.ResultsExternal evaluators reported compliance of 69–90%, while self-assessors reported 71–92%, with raw agreement of 71–95% and Kappa statistics ranging from fair to almost perfect agreement. Considering external evaluators as the gold standard, sensitivity of self-assessment ranged from 90 to 99% and specificity from 48 to 86%. Simpler indicators had fewer disagreements. When disagreements occurred between self-assessment and external valuators, the former tended to report more positive findings in five of six indicators, but this tendency was not of a magnitude to change program actions. Team leadership, understanding of the tools and facility size had no overall impact on the level of agreement.ConclusionsWhen compared with external evaluation (gold standard), self-assessment was found to be sufficiently valid for tracking QI team performance. Sensitivity was generally higher than specificity. Simplifying indicators may improve validity.
International Journal for Quality in Health Care – Oxford University Press
Published: Dec 12, 2011
Keywords: quality measurement audit quality indicators statistical methods reproductive health hospital care general medicine
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