National report on healthcare utilization and mortality in patients with hepatitis A infection in the United States.

OBJECTIVES: Predictors of negative outcomes related to hepatitis A virus (HAV) need to be studied at a national level. STUDY DESIGN AND METHODS: A retrospective analysis using the Nationwide Inpatient Sample (2002-2013) and Nationwide Readmission Database (2010-2014) was performed to evaluate the outcomes of hospitalized patients with HAV. The Nationwide Inpatient Sample and the Nationwide Readmission Database included a varying number of states during the studied time and reflect the range of implementation dates of the HAV vaccines. Multivariable analyses were fit to determine predictors of outcomes. RESULTS: A total of 13,514 patients were admitted with HAV during the studied time. Thirty-day and 90-day readmission rates were 11.4% and 15%, respectively. Predictors of readmission, longer length of stay, and mortality included patients aged >60 years ([odds ratio [OR]: 1.02; 95% confidence interval [CI]: 1.001-1.03], [OR: 1.15; CI: 1.07-1.24], [OR: 4.06; 95% CI: 1.47-11.16], respectively), Medicare insurance ([OR:3.63; 95% CI: 2.18-6.03], [OR: 1.26; 95% CI: 1.17-1.37], [OR: 2.67; 95% CI: 1.18-6.04], respectively), and cirrhosis ([OR: 1.83; 95% CI: 1.05-3.21], [OR: 1.33; 95% CI: 1.20-1.47], [OR: 2.83; 95% CI: 1.14-7.05], respectively). Predictors of higher cost of admission included patients aged >60 years (OR: 1.32, 95% CI: 1.19-1.46), Hispanic (OR: 1.14; 95% CI: 1.05-1.24), Medicare insurance (OR: 1.22; 95% CI: 1.10-1.35), Medicaid insurance (OR: 1.10; 95% CI: 1.02-1.20), and cirrhosis (OR: 1.28; 95% CI: 1.11-1.46). CONCLUSIONS: Patients at increased healthcare utilization and mortality should be prioritized for HAV vaccination.

Malaria prevention in The Gambia: patterns of expenditure and determinants of demand at the household level.

OBJECTIVE: To provide a better understanding of (1) the amounts households in The Gambia spend on a wide variety of malaria prevention measures, (2) how expenditure fluctuates throughout the year and (3) the main determinants of expenditure. METHODS: A random sample of 1700 households from the Farafenni region were interviewed about their expenditure on malaria prevention over the past 2 weeks. Interviews were staggered over 12 months. Expenditure was measured for bed nets, treating and repairing bed nets, aerosols, coils, indoor spraying, smoke and other prevention strategies such as drinking herbs and cleaning the outside environment. Results Expenditure on bed nets, including treatment and repair, constituted only 10% of total expenditure on malaria prevention. Every fortnight, households spent an average of 8.40 Dalasis (D) on coils, 4.20 D on indoor sprays, 3.09 D on smoke and 3.06 D on aerosols, together making up 81% of total fortnightly expenditure. Of the 442 households that did not own a bed net, 68% said it was because they could not afford one. Every 2 months, the same households spent an average of US 5 dollars, the equivalent to the cost of an insecticide treated bed net, on other forms of prevention. Total expenditure was 42% higher during the wet season than for the rest of the year. For every month of the year, coils were the dominant form of prevention expenditure. Wealth, age, occupation of household head, location of residence and month of the year were significant determinants of prevention expenditure. CONCLUSIONS: Households in The Gambia spend considerable amounts on a range of malaria prevention products and activities throughout the year. Bed nets represent a relatively small proportion of this expenditure even though they are perceived to be the most efficient and effective method of malaria control. A more concerted effort is needed to develop appropriate targeting strategies to encourage bed net use especially for children <5 years of age. Equal emphasis should be given to addressing barriers to purchasing nets such as their relative high upfront cost.

Using diaries to collect data in resource-poor settings: questions on design and implementation.

Diaries, as a tool for data collection, have been around for some time. Lessons shared to date come from disparate settings and there remains a degree of ambiguity regarding the value of diaries, particularly in resource-poor settings where populations are often illiterate and highly mobile. We recently designed a pictorial diary for the collection of data on household consumption and expenditure in Tanzania and The Gambia. A random sample of 361 diary keepers in The Gambia and 308 in Tanzania maintained diaries for a period of 12 months. The aim of this paper is to share some of the lessons learnt in developing and applying this instrument. It is structured around a series of questions about diaries that we found relatively few answers to when we first embarked on this study. These questions include: how should a diary be designed? How long should a diary be maintained? When should entries be recorded? Who should keep the diary? The motive behind this paper is simple: to provide future researchers who are contemplating using diaries in resource-poor settings with some practical information that may guide them through this process.