Online Program

Using provisional vital statistics for collaborative learning: A state-based learning model for improving sudden unexplained infant death

Monday, November 2, 2015

Sabrina Selk, Doctorate of Science, Department of Applied Research and Evaluation, NICHQ, Boston, MA
Ashley Hirai, PhD, Maternal and Child Health Bureau, HRSA/DHHS, Rockville, MD
Lauren Smith, MD, MPH, NICHQ, Boston, MA
Background: Given that sudden unexplained infant death (SUID) is the leading cause of infant death in the US between 1 month and 1 year of life, improving safe sleep practices is among the strategies of the Infant Mortality Collaborative Innovation and Improvement Network (IM CoIIN)--a national effort to help states share and apply evidence-based and innovative strategies to improve infant mortality. The IM CoIIN utilizes quarterly, provisional vital statistics to track SUID for real-time feedback on programmatic efforts. However, many states experience challenges in reporting provisional statistics.

Methods: To identify effective strategies to improve use of provisional statistics, state epidemiologists representing between 27 and 29 states, were surveyed on their ability to report provisional statistics, challenges, and strategies to overcoming reported barriers.

Results: Four major challenges were identified by states, including lack of resources as well as data quality, data sharing, and technical issues. Each challenge was paired with strategies states had used to overcome these barriers.  For example, states with few resources used SSDI funding, shared personnel between departments of health and vital registrar offices, or built interdepartmental relationships to overcome this challenge. For data quality, such as pending SUID cases, states used combined approaches such as using SUID investigation forms from the CDC, looking at number of pending cases (R99), and setting minimum thresholds for completeness.

Conclusion: Despite challenges, states are sharing best practices to continue to improve their ability to use provisional vital statistics for real-time monitoring of efforts to promote safe sleep practices and reduce SUID.

Learning Areas:

Other professions or practice related to public health
Public health or related laws, regulations, standards, or guidelines
Public health or related organizational policy, standards, or other guidelines

Learning Objectives:
Name the common challenges states face in their efforts to use provisional vital statistics to track sudden unexpected infant deaths (SUID). Describe effective strategies that states are using to overcome barriers to their ability to report provisional vital statistics on SUID in their state.

Keyword(s): Data Collection and Surveillance, Infant Mortality

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am the Senior Analyst of the project described with training in both quality improvement methodology as well epidemiology. I was involved both in the survey of participants as well as the analysis of the results of the survey, and drafted the guide that is presented as the supplement to the abstract. I am a doctoral level epidemiologist with background in the areas of quality improvement and maternal, infant and child health.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.