1982
DOI: 10.2105/ajph.72.9.1022
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A model for dental workload measurement.

Abstract: The primary purpose of the study was to develop a model that would provide an efficient and standardized approach to workload reporting in a nonfee (HMO-like) dental care system. The model was also designed to predict the dental personnel resource

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Cited by 8 publications
(7 citation statements)
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“…An observation study with a video-based analysis [21] would help to clarify why dentists who used Pd in this study spent more time on each task. Also a paper-based task analysis [22] or actual time measurements on patient visits [23] could give more interesting information on the variability of working time in dental work tasks.…”
Section: Discussionmentioning
confidence: 99%
“…An observation study with a video-based analysis [21] would help to clarify why dentists who used Pd in this study spent more time on each task. Also a paper-based task analysis [22] or actual time measurements on patient visits [23] could give more interesting information on the variability of working time in dental work tasks.…”
Section: Discussionmentioning
confidence: 99%
“…ReVUs were developed to normalize equivalencies for each clinical procedure performed by predoctoral dental students across the clinics of dental schools. The ReVU had its origins in the dental workload measurement model pioneered by Parker et al, in which those investigators standardized the approach to workload reporting in a non‐fee dental care system 7 . The result was a set of 264 task/procedure‐driven codes that corresponded to the broad scope of dental practice.…”
mentioning
confidence: 99%
“…Dental claims and self‐report data have been previously used as single‐method data sources in productivity and time studies to estimate workload requirements and efficiencies in service delivery (5, 6). Frequency distribution of dental services and procedures are routinely collected from surveys of dental professionals, but self‐report is subject to both over‐ and under‐reporting (7–9) and has not been compared with any other data source.…”
mentioning
confidence: 99%