Title |
Clinical audit for occupational therapy intervention for children with autism spectrum disorder: sampling steps and sample size calculation
|
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Published in |
BMC Research Notes, June 2015
|
DOI | 10.1186/s13104-015-1247-0 |
Pubmed ID | |
Authors |
Scott Weeks, Alvin Atlas |
Abstract |
A priori sample size calculations are used to determine the adequate sample size to estimate the prevalence of the target population with good precision. However, published audits rarely report a priori calculations for their sample size. This article discusses a process in health services delivery mapping to generate a comprehensive sampling frame, which was used to calculate an a priori sample size for a targeted clinical record audit. We describe how we approached methodological and definitional issues in the following steps: (1) target population definition, (2) sampling frame construction, and (3) a priori sample size calculation. We recommend this process for clinicians, researchers, or policy makers when detailed information on a reference population is unavailable. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 11 | 31% |
Student > Bachelor | 7 | 19% |
Student > Ph. D. Student | 6 | 17% |
Lecturer | 2 | 6% |
Librarian | 2 | 6% |
Other | 5 | 14% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 7 | 19% |
Engineering | 3 | 8% |
Neuroscience | 3 | 8% |
Agricultural and Biological Sciences | 2 | 6% |
Other | 7 | 19% |
Unknown | 5 | 14% |