Source of health insurance and immunization rates: Findings from the 1996 Texas immunization survey

This study was a further investigation of the 1996 Texas Immunization Survey conducted by the Associateship for Disease Control and Prevention of the Texas Department of Health. The 1996 survey was conducted through 4,599 completed telephone interviews of families with a child between the ages of 3–35 months concerning the immunization status of Texas children. The present study determined differences in immunization rates for children aged 3–35 months for the last shot in the immunization series that should be completed before 2 years of age, a total of four shots, both overall and for different health insurance groups. Life tables were used to determine the percentage and distribution over time of completed vaccination rates for each shot. Emphasis was placed on the proportion of children that were immunized at the end of the recommended range of the immunization schedule, and at 2 years of age. Univariate and multivariate analysis was also performed in order to ascertain which risk factors predict whether or not a child will be immunized. RESULTS: Between 80–90% were immunized for the last shot of Hepatitis B; Measles, Mumps, and Rubella; and Polio at 2 years of age. Approximately 2/3 of the sample was immunized for Diphtheria, Pertussis, and Tetanus. Most of the children were immunized by the end of the recommended range of the immunization schedule except for Measles, Mumps, and Rubella. Children of parents with private indemnity insurance were significantly more likely to have received two of the four shots; children of uninsured parents were significantly less likely to have received three of the four shots. In multivariate analysis, maternal education was the only variable that consistently predicted immunization status for the different shots. Results indicate that a substantial gap exists for immunization rates between children with private insurance and uninsured children, despite recent policy changes to provide immunizations free of charge. Health care providers should pay extra attention to the poor and uninsured to make sure that all children receive timely immunizations. ^

Towards an SMS-based Social Network for Health Workers in Rural Areas in Myanmar

Seventy percent of the population in Myanmar lives in rural areas. Although health workers are adequately trained, they are overburdened due to understaffing and insufficient supplies. Literature confirms that information and communication technologies can extend the reach of healthcare. In this paper, we present an SMS-based social network that aims to help health workers to interact with other medical professionals through topic-based message delivery. Topics describe interests of users and the content of message. A message is delivered by matching message content with user interests. Users describe topics as ICD- 10 codes, a comprehensive medical taxonomy. In this ICD-10 coded SMS, a set of prearranged codes provides a common language for users to send structured information that fits inside an SMS.

Personality, risky health behavior, and perceived susceptibility to health risks

We examined the relations between personality (Five-Factor Model), risky health behaviours, and perceptions of susceptibility to health risks among 683 university students. The hypothesis was that personality would affect perceptions of susceptibility to health risks in two ways: directly, irrespective of risky health behaviours, and indirectly, through the effects of personality on risky health behaviours. The students were surveyed about smoking, being drunk, drunk driving, risky sexual behaviour, and perceptions of susceptibility to related health risks. In path-analytical models we found the expected direct and indirect effects. The personality dimensions of Agreeableness and Conscientiousness had negative direct effects on perceptions of susceptibility as well as negative indirect effects through risky health behaviours. Neuroticism was the only personality dimension to show positive direct effects on perceptions of susceptibility as well as negative indirect effects.