Pegah Derakhshan1, Zahra Azadmanjir1,2, Khatereh Naghdi1, Roya Habibi Arejan1, Mahdi Safdarian1, Mohammad Reza Zarei1, Seyed Behzad Jazayeri1, Mahdi Sharif-Alhoseini1, Jalil Arab Kheradmand3, Abbas Amirjamshidi4, Zahra Ghodsi1, Morteza Faghih Jooybari5, Mahdi Mohammadzadeh6, Zahra Khazaeipour7, Shayan Abdollah Zadegan1, Aidin Abedi8, Gerard Oreilly9, Vanessa Noonan10, Edward C Benzel11, Alexander R Vaccaro12, Farideh Sadeghian13, Vafa Rahimi-Movaghar14,15. 1. Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran. 2. Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran. 3. Ahya Neuroscience Research Center, Tehran, Iran. 4. Department of Neurosurgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran. 5. Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran. 6. Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran. 7. Brain and Spinal Injuries Research Center (BASIR), Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran. 8. Department of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA. 9. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3800, Australia. 10. Rick Hansen Institute, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. 11. Department of Neurosurgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA. 12. Department of Orthopaedic Surgery, The Rothman Institute, Thomas Jefferson University, Philadelphia, PA, 19107, USA. 13. Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran. 14. Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran. v_rahimi@sina.tums.ac.ir. 15. Brain and Spinal Injuries Research Center (BASIR), Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran. v_rahimi@sina.tums.ac.ir.
Abstract
STUDY DESIGN: Descriptive study. OBJECTIVE: This study aimed to develop and evaluate a systematic arrangement for improvement and monitoring of data quality of the National Spinal Cord (and Column) Injury Registry of Iran (NSCIR-IR)-a multicenter hospital-based registry. SETTING: SCI community in Iran. METHODS: Quality assurance and quality control were the primary objectives in improving overall quality of data that were considered in designing a paper-based and computerized case report. To prevent incorrect data entry, we implemented several validation algorithms, including 70 semantic rules, 18 syntactic rules, seven temporal rules, and 13 rules for acceptable value range. Qualified and trained staff members were also employed to review and identify any defect, inaccuracy, or inconsistency in the data to improve data quality. A set of functions were implemented in the software to cross-validate, and feedback on data was provided by reviewers and registrars. RESULTS: Socio-demographic data items were 100% complete, except for national ID and education level, which were 97% and 92.3% complete, respectively. Completeness of admission data and emergency medical services data were 100% except for arrival and transfer time (99.4%) and oxygen saturation (48.9%). Evaluation of data received from two centers located in Tehran proved to be 100% accurate following validation by quality reviewers. All data was also found to be 100% consistent. CONCLUSIONS: This approach to quality assurance and consistency validation proved to be effective. Our solutions resulted in a significant decrease in the number of missing data.
STUDY DESIGN: Descriptive study. OBJECTIVE: This study aimed to develop and evaluate a systematic arrangement for improvement and monitoring of data quality of the National Spinal Cord (and Column) Injury Registry of Iran (NSCIR-IR)-a multicenter hospital-based registry. SETTING: SCI community in Iran. METHODS: Quality assurance and quality control were the primary objectives in improving overall quality of data that were considered in designing a paper-based and computerized case report. To prevent incorrect data entry, we implemented several validation algorithms, including 70 semantic rules, 18 syntactic rules, seven temporal rules, and 13 rules for acceptable value range. Qualified and trained staff members were also employed to review and identify any defect, inaccuracy, or inconsistency in the data to improve data quality. A set of functions were implemented in the software to cross-validate, and feedback on data was provided by reviewers and registrars. RESULTS: Socio-demographic data items were 100% complete, except for national ID and education level, which were 97% and 92.3% complete, respectively. Completeness of admission data and emergency medical services data were 100% except for arrival and transfer time (99.4%) and oxygen saturation (48.9%). Evaluation of data received from two centers located in Tehran proved to be 100% accurate following validation by quality reviewers. All data was also found to be 100% consistent. CONCLUSIONS: This approach to quality assurance and consistency validation proved to be effective. Our solutions resulted in a significant decrease in the number of missing data.
Authors: W Mphatswe; K S Mate; B Bennett; H Ngidi; J Reddy; P M Barker; N Rollins Journal: Bull World Health Organ Date: 2011-12-05 Impact factor: 9.408
Authors: Carlos Sáez; Oscar Zurriaga; Jordi Pérez-Panadés; Inma Melchor; Montserrat Robles; Juan M García-Gómez Journal: J Am Med Inform Assoc Date: 2016-04-23 Impact factor: 4.497
Authors: Quinn T Ostrom; Haley Gittleman; Carol Kruchko; David N Louis; Daniel J Brat; Mark R Gilbert; Valentina I Petkov; Jill S Barnholtz-Sloan Journal: J Neurooncol Date: 2016-07-14 Impact factor: 4.130