Impact of an algorithm-guided nurse intervention on the use of immunization opportunities

Article Abstract:

An algorithmic guide for nurses may help increase immunization rates in low-income children. The algorithm used a set of yes/no questions to guide nurses in determining whether to use a sick-child visit as an opportunity for immunization. Researchers compared immunization rates over a 5-month period at a clinic using the algorithm, the same clinic's rates the previous year, and a similar clinic's rates over the same time period that did not use the algorithm. Overall, 2,814 children made 5,464 sick-child visits. The clinic using the algorithm immunized more children at sick-child visits.

Children, Algorithms, Calendar, Immunization of children, Immunization

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Tuberculosis testing: physician attitudes and practice

Article Abstract:

Physicians may not be adhering to American Academy of Pediatrics (AAP) recommendations for tuberculosis screening in children. A survey of 762 pediatricians and family physicians revealed that three-quarters knew of the AAP recommendations. However, contrary to those recommendations, over half used a test not recommended by the AAP some of the time and 30% used it exclusively, and many physicians allowed parents to read the test reaction. Only 22% of respondents complied completely with AAP recommendations as to frequency of testing, type of test, and physician-read tests.

Physicians, Medical professions, Beliefs, opinions and attitudes

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Screening for tuberculosis infection in urban children

Article Abstract:

The American Academy of Pediatrics criteria for identifying children at high risk for tuberculosis (TB) appears to accurately identify a high-risk group. However, because infection is rare, screening high-risk children annually, as recommended, may not be cost effective. Researchers screened 401 children for TB who attended an urban well-child pediatric clinic. Eighty-five percent had one or more TB risk factors. Only 300 children returned for a reading of the skin test, of whom 1.3% tested positive for a cost $855 per child identified as positive.

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