The 2009 H1N1 Influenza Vaccination Campaign Summary of a Workshop Series (2010) / Chapter Skim
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7 Data Collection, Monitoring, Evaluation, and Use
7 Data Collection, Monitoring, Evaluation, and Use
Pages 63-72
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From page 63... ...
Several participants noted that data collection is always secondary to the on-the-ground provision of care. During the 2009 H1N1 pandemic, "In terms of vaccination, we were not really there to collect data," explained Megan Davies, state epidemiologist in North Carolina.
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From page 64... ...
The information was shared through AIM and ASTHO so states could learn what other states were doing. Although it was clear that data collection requirements should not become a burden to the public health and healthcare provider community, workshop participants also discussed how the absence of certain kinds of data had a negative impact on the vaccination campaign.
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From page 65... ...
Many data collection methods were used, including electronic data collection via batch downloads, direct interfaces, data entry, and paper and pen. Some of the data collection models used by state, city, and county public health authorities are described below.
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From page 66... ...
This was the first time that Boston Public Health had fully used electronic data collection for a public health emergency response, and they found it to be a success. The data collected included the patient's name, address, phone number, age, and gender; clinic location; date; medication information; and relevant information regarding a second dose, as applicable.
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From page 67... ...
In states that did require reporting through registries, if electronic data transfer was not available, the states had to rely on manual data entry, which was arduous and costly, especially if healthcare providers saw no direct benefit to entering the information. Furthermore, training new practitioners on data collection for a registry takes time and resources, which could strain already busy private practices.
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From page 68... ...
Training for healthcare providers was held via web-based conferencing. Cathy Slemp, acting state health officer and director of the Division of Threat Preparedness for the Bureau of Public Health in the West Virginia Department of Health and Human Resources, said the system provided a reasonably good picture of where vaccine was and who was getting vaccinated and was a useful tool for identifying counties that had weaknesses in reporting and using that information to investigate whether that area was encountering particular challenges with the vaccination program.
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From page 69... ...
The key to working with private healthcare providers, he noted, is to work with electronic medical record systems and try to establish real-time, bilateral transfer of data. Data Collection Challenges Cross-Jurisdictional Variability The information management systems showed a high level of variability in tracking administration of vaccine across state and local public health systems.
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From page 70... ...
Furthermore, these alternative systems also created additional staffing demands because the data had to be entered and integrated into the primary data collection system. Staffing for Data Entry Many participants noted that data collection required significant staff time and associated costs in public health departments, pharmacies, private practices, and other locations used to administer vaccine.
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From page 71... ...
These suggestions are compiled here as part of the factual summary of the workshops and should not be construed as reflecting consensus or endorsement by the workshops, the Preparedness Forum, or The National Academies. They are as follows: • Develop technologies that facilitate real-time data collection and reporting to improve situational awareness and guide program implementation during a public health emergency.
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From page 72... ...
Some information may be critical to the mis sion and associated data should be collected in all types of events, but other information may be able to be prioritized ac cording to severity of incident and availability of resources. • Establish data collection forms for use in everyday practice that can also be used during public health emergencies.
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