2012
DOI: 10.5210/ojphi.v4i2.4198
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Quality and integration of public health information systems: A systematic review focused on immunization and vital records systems

Abstract: Objectives:Public health professionals rely on quantitative data for the daily practice of public health as well as organizational decision making and planning. However, several factors work against effective data sharing among public health agencies in the US. This review characterizes the reported barriers and enablers of effective use of public health IS from an informatics perspective.Methods:A systematic review of the English language literature for 2005 to 2011 followed the Preferred Reporting Items for … Show more

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Cited by 7 publications
(8 citation statements)
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“…Public health agencies often struggle with issues of data integration, data quality, and effective data exchange with other public health agencies and health-care organizations, which are potential barriers to uptake. 35,39 Our study also shows that staffing, financial, and geographic factors are also highly correlated with differential uptake of various informatics programs. Although geography is not modifiable from an LHD's perspective, greater focus on training existing staff members and leveraging existing clinical systems and demand for direct services to support the work of public health are modifiable behaviors.…”
Section: Refmentioning
confidence: 53%
“…Public health agencies often struggle with issues of data integration, data quality, and effective data exchange with other public health agencies and health-care organizations, which are potential barriers to uptake. 35,39 Our study also shows that staffing, financial, and geographic factors are also highly correlated with differential uptake of various informatics programs. Although geography is not modifiable from an LHD's perspective, greater focus on training existing staff members and leveraging existing clinical systems and demand for direct services to support the work of public health are modifiable behaviors.…”
Section: Refmentioning
confidence: 53%
“…Our small sample may not be nationally representative of the experiences of practitioners, where IS and data quality issues may be common [6,7,12]. We also acknowledge that or perspective on data sharing is limited; we have no data from the SHA perspective.…”
Section: Discussionmentioning
confidence: 99%
“…Organizational size is well understood as a key variable associated with many health care practices and outcomes. Similarly, the challenge posed by increasing the number of data sources to integrate, or system distribution (Hasselbring 2000), may increase the likelihood of a data sharing gap (Vest, Kirk, and Issel 2012).…”
Section: Conceptual Frameworkmentioning
confidence: 99%