The Impact of Standardized Decision Support on Syndromic Surveillance in Alberta | Zendy

Laura Rivera | Zendy; Faiza Habib | Zendy; Li Ye | Zendy; Rita K. Biel | Zendy; Rachel Savage | Zendy; Natasha S. Crowcroft | Zendy; Laura C. Rosella | Zendy; Shelly Bolotin | Zendy; David R. Strong | Zendy; Christopher Sikora | Zendy; Ian Johnson | Zendy

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The Impact of Standardized Decision Support on Syndromic Surveillance in Alberta

Author(s) -

Laura Rivera,

Faiza Habib,

Li Ye,

Rita K. Biel,

Rachel Savage,

Natasha S. Crowcroft,

Laura C. Rosella,

Shelly Bolotin,

David R. Strong,

Christopher Sikora,

Ian Johnson

Publication year - 2016

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v8i1.6447

Subject(s) - medicine , outbreak , public health , intervention (counseling) , protocol (science) , public health surveillance , absenteeism , decision support system , family medicine , environmental health , medical emergency , nursing , alternative medicine , data mining , computer science , psychology , pathology , social psychology

This study examined the impact of standardized decision supports to improve school absenteeism surveillance. Two public health zones in Alberta, Canada, participated. The intervention zone received additional alerts and applied a standard response protocol. The control zone continued with their usual practice. During the study period, the intervention zone received 246 alerts, detected 19 outbreaks and reported 39 instances of public health action. The control zone reported 20 alerts, detected 16 outbreaks and no additional actions. The intervention required additional staff time. The findings suggest that using standardized decision supports results in better surveillance but only when resources were provided.

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