دورية أكاديمية

Error Detection in Outpatients' Age Data Using Demographic Techniques.

التفاصيل البيبلوغرافية
العنوان: Error Detection in Outpatients' Age Data Using Demographic Techniques.
المؤلفون: Bello, Yusuf
المصدر: International Journal of Pure & Applied Sciences & Technology; May2012, Vol. 10 Issue 1, p27-36, 10p
مصطلحات موضوعية: POPULATION pyramid, OUTPATIENT services in hospitals, SOCIODEMOGRAPHIC factors, BIOMETRY
مصطلحات جغرافية: KATSINA (Nigeria), NIGERIA
مستخلص: Age is an important variable in epidemiological study and an invariable part of community base-study reports. Demographic data are usually classified by age and sex, where errors in age reporting are more frequent than errors in sex reporting. This research paper is purposely prepared to evaluate the accuracy of age reporting by the outpatients in General Hospital Dutsin-ma, Katsina state, Nigeria, in January 2012 using demographic techniques. The techniques include Whipple's index which indicates the extent to which age data show systematic heaping on particular ages such as those ending with '0' and '5', Myer's blended index that measures the extend of digit preference for all the digits and age-sex accuracy index that determine the accuracy of age reporting. The result of the work has shown very rough age data reporting for both male and female outpatients. For the Myer's index, about 86 percent of male outpatients and 88 percent of female outpatients reported their ages with incorrect final digits. The most preferred final digits are '5' and '0', while the most avoided final digit by both sexes is '1'. Similarly, the Whipple's index has also qualified the data as very rough by identifying a considerable heaping at ages ending with '5' and '0'. Furthermore, the calculated age-sex accuracy index is 156.8 that qualified the age data highly inaccurate according to the United Nations scaling. The inaccuracy is more critical in female age data since the sum of the absolute deviation of the female age ratio from the unity (100) is almost twice that for male age ratio. Both sexes' age data have fluctuations at the higher ages, although that for female age data is more noticeable. The evaluation of the outpatients' age data using the demographic techniques has finally qualified the data inaccurate as the results of systematic age heaping and digit preference. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index