Objective: To study when and how an urgent public health message about a boil-water order reached an urban population after the Massachusetts water main break. Methods: In-person surveys were conducted in waiting areas of clinics and emergency departments at a large urban safety net hospital within 1 week of the event. Results: Of 533 respondents, 97% were aware of the order; 34% of those who lived in affected cities or towns were potentially exposed to contaminated water. Among those who were aware, 98% took action. Respondents first received the message through word of mouth (33%), television (25%), cellular telephone calls (20%), landline calls (10%), and other modes of communication (12%). In multivariate analyses, foreign-born respondents and those who lived outside the city of Boston had a higher risk of exposure to contaminated water. New modes (eg, cellular telephones) were used more commonly by females and younger individuals (ages 18 to 34). Individuals who did not speak English at home were more likely to receive the message through their personal networks. Conclusions: Given the increasing prevalence of cellular telephone use, public officials should encourage residents to register landline and cellular telephone for emergency alerts and must develop creative ways to reach immigrants and non-English-speaking groups quickly via personal networks. (Disaster Med Public Health Preparedness. 2011;5:235-241)

Abstract

In an era of limited healthcare budgets, mathematical models can be useful tools to identify cost-effective programs and to support policymakers in informed decision making. This paper reports results of our work carried out over several years with the Asian Liver Center at Stanford University, a nonprofit outreach and advocacy organization that is an international leader in the fight against hepatitis B and liver cancer. Hepatitis B is a vaccine-preventable viral disease that, if untreated, can lead to death from cirrhosis and liver cancer. Infection with hepatitis B is a major public health problem, particularly in Asian populations. We used new combinations of decision analysis and Markov models to analyze the cost-effectiveness of several interventions to combat hepatitis B in the United States and China. The results of our OR-based analyses have helped change United States public health policy on hepatitis B screening for millions of people and have helped encourage policymakers in China to enact legislation to provide free catch-up vaccination for hundreds of millions of children. These policies are an important step in eliminating health disparities, reducing discrimination, and ensuring that millions of people who need it can now receive hepatitis B vaccination or lifesaving treatment.

We calculated the incremental cost per quit of a telephone care intervention versus usual care using the provider's perspective. The study population was 819 smokers at five US Veterans Affairs (VA) primary care clinics. They enrolled in the clinical trial between June 2001 and December 2002. After 12 months the participants were assessed for short- and long-term abstinence over the previous six months. VA records were used to extract the cost of VA services over 12 months, and the cost of care purchased by the VA from others. Intervention costs were derived through micro-costing. On average, the intervention cost $142 per person, excluding medications. The average cost of all VA-funded medical care during the study period was $8959 in the telephone-care arm and $7939 in the usual care arm (P = 0.37). Under a standard intent-to-treat analysis the average cost per quit was $11,408 and thus the intervention was cost-effective by conventional standards.