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Effectiveness of measures to prevent needlestick injuries among ...

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3 Descriptive epidemiology <strong>of</strong> NSI<br />

by taking greater care during use and disposal <strong>of</strong> sharps, improved design <strong>of</strong><br />

sharp equipment, and placement <strong>of</strong> disposal units in closer proximity <strong>to</strong> work<br />

areas.<br />

Comparison <strong>of</strong> international rates <strong>of</strong> NSI is facilitated by the use <strong>of</strong> similarly formatted<br />

reports, but methodological differences persist. For example, the data elements in-<br />

cluded in each country’s reports were not identical, and the documentation accompa-<br />

nying the reports was inadequate, e.g. failing <strong>to</strong> provide definitions or <strong>to</strong> specify<br />

underlying assumptions. It is clear that different time frames were reported for various<br />

countries participating in NSI surveillance and that the respective health systems are<br />

not identical, but the data may lack comparability in other, less obvious ways. Fac<strong>to</strong>rs<br />

likely <strong>to</strong> differ internationally include the completeness and overall quality <strong>of</strong> the sur-<br />

veillance systems. Within individual hospitals, there is likely <strong>to</strong> be underreporting <strong>of</strong><br />

NSI events, and the degree <strong>of</strong> underreporting could be differential by both occupation<br />

and country. None <strong>of</strong> the surveillance data identified for this report included quality<br />

audits. In addition, surveillance data describing NSI <strong>among</strong> HCW employed in non-<br />

hospital settings (outpatient care, in-home care, emergency care, etc.) are currently<br />

not tracked, so any national estimate <strong>of</strong> overall risk <strong>to</strong> HCW must be multiplied by an<br />

unknown, but possibly large, fac<strong>to</strong>r.<br />

As shown in the tables summarizing international data, surveillance systems typically<br />

describe rates <strong>of</strong> NSI per 100 occupied hospital beds, as proportions <strong>of</strong> employees by<br />

occupational category, and as proportions <strong>of</strong> events attributable <strong>to</strong> various types <strong>of</strong><br />

devices or procedures. These calculations might not provide the most accurate risk es-<br />

timates. Because many hospitals employ contract workers, and part-time employment<br />

or significant overtime (e. g. <strong>among</strong> medical interns) are also common, the use <strong>of</strong><br />

actual duty hours would account for work load and more accurately reflect time at risk.<br />

Number <strong>of</strong> full-time equivalent employees (FTE) overall and in each occupational<br />

category would <strong>of</strong>fer a better approximation <strong>of</strong> risk compared <strong>to</strong> either occupied<br />

hospital beds or <strong>to</strong>tal numbers <strong>of</strong> employees, and might result in a re-ordering <strong>of</strong><br />

the apparent risks <strong>among</strong> occupational groups. For example, data from Luhti et al.<br />

showed a similar number <strong>of</strong> NSI <strong>among</strong> nurses and physicians overall (78 and 76 per<br />

month, respectively). When the annualized rate <strong>of</strong> NSI by occupation was calculated,<br />

Report „Needlestick <strong>injuries</strong>“ 28

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