Smoking and depression are related, and mood management interventions included in smoking cessation interventions can increase smoking abstinence rates. Could a mood management intervention embedded in an Internet-based smoking cessation intervention prevent major depressive episodes? Spanish- and English-speaking smokers (N = 17,430) from 191 countries were randomized to one of four online self-help intervention conditions (two with mood management). We analyzed preventive effects among those participants without a major depressive episode at baseline. The mood management intervention did not reduce the incidence of major depressive episodes in the following 12 months. However, we found a mood management by depression risk interaction (OR = 1.77, p = .004), such that high-risk participants who received the mood management intervention had an increased occurrence of major depressive episodes (32.8% vs. 26.6%), but not low-risk participants (11.6% vs. 10.8%). Further research on whether mood management interventions may have deleterious effects on subsets of smokers appears warranted.

Objective

To estimate the long-term and short-term effects on cigarette demand in Argentina based on changes in cigarette price and income per person >14 years old.

Method

Public data from the Ministry of Economics and Production were analysed based on monthly time series data between 1994 and 2010. The econometric analysis used cigarette consumption per person >14 years of age as the dependent variable and the real income per person >14 years old and the real average price of cigarettes as independent variables. Empirical analyses were done to verify the order of integration of the variables, to test for cointegration to capture the long-term effects and to capture the short-term dynamics of the variables.

Results

The demand for cigarettes in Argentina was affected by changes in real income and the real average price of cigarettes. The long-term income elasticity was equal to 0.43, while the own-price elasticity was equal to -0.31, indicating a 10% increase in the growth of real income led to an increase in cigarette consumption of 4.3% and a 10% increase in the price produced a fall of 3.1% in cigarette consumption. The vector error correction model estimated that the short-term income elasticity was 0.25 and the short-term own-price elasticity of cigarette demand was -0.15. A simulation exercise showed that increasing the price of cigarettes by 110% would maximise revenues and result in a potentially large decrease in total cigarette consumption.

Conclusion

Econometric analyses of cigarette consumption and their relationship with cigarette price and income can provide valuable information for developing cigarette price policy.

The purpose of this study was to identify dimensions of elder mistreatment in Chinese and Korean immigrant communities and to increase sociocultural understanding of such mistreatment by elucidating the complexities of abuse embedded in unique social and cultural contexts. In-depth interviews were conducted with 20 local professionals working primarily in Asian elderly advocacy, and six focus group discussions were conducted involving 60 community members in the San Francisco Bay area. Five dimensions of elder mistreatment were identified: psychological abuse, neglect by a trusted person, financial exploitation, physical abuse, and sexual abuse. In general, fewer Korean community member participants reported having observed physical or financial abuse than Chinese groups, but they reported greater knowledge of situations involving psychological abuse, neglect by a trusted person, and sexual abuse. The contexts of cultural influences and immigration and acculturation were salient themes that shaped participants' subjective perceptions and beliefs about elder abuse and hence help-seeking behaviors.

Background

Twenty-five million people in the United States have limited English proficiency (LEP); this growing and aging population experiences worse outcomes when hospitalized. Federal requirements that hospitals provide language access services are very challenging to implement in the fast-paced, 24-hour hospital environment.

Objective

To determine if increasing access to professional interpreters improves hospital outcomes for older patients with LEP.

Design

Natural experiment on a medicine floor of an academic hospital.

Participants

Patients age 50 years or above discharged between January 15, 2007 and January 15, 2010.

Exposure

Dual-handset interpreter telephone at every bedside July 15, 2008 to Mar 14, 2009.

Outcome measures

Thirty-day readmission, length of stay, estimated hospital expenditures.

Results

Of 8077 discharges, 1963 were for LEP, and 6114 for English proficient patients. There was a significant decrease in observed 30-day readmission rates for the LEP group during the 8-month intervention period compared with 18 months preintervention (17.8% vs. 13.4%); at the same time English proficient readmission rates increased (16.7% vs. 19.7%); results remained significant in adjusted analyses. This improved readmission outcome for the LEP group was not maintained during the subsequent postintervention period when the telephones became less accessible. There was no significant intervention impact on length of stay in either unadjusted or adjusted analyses. After accounting for interpreter services costs, the estimated 119 readmissions averted during the intervention period were associated with estimated monthly hospital expenditure savings of $161,404.

Conclusions

Comprehensive language access represents an important, high value service that all medical centers should provide to achieve equitable, quality healthcare for vulnerable LEP populations.

The National Institute on Minority Health and Health Disparities (NIMHD) has developed a framework to guide and orient research into health disparities and minority health. The framework depicts different domains of influence (such as biological and behavioral) and different levels of influence (such as individual and interpersonal). Here, influenced by the "One Health" approach, we propose adding two new levels of influence - interspecies and planetary - to this framework to reflect the interconnected nature of human, animal, and environmental health. Extending the framework in this way will help researchers to create new avenues of inquiry and encourage multidisciplinary collaborations. We then use the One Health approach to discuss how the COVID-19 pandemic has exacerbated health disparities, and show how the expanded framework can be applied to research into health disparities related to antimicrobial resistance and obesity.

Worldwide automated Internet health interventions have the potential to greatly reduce health disparities. High attrition from automated Internet interventions is ubiquitous, and presents a challenge in the evaluation of their effectiveness. Our objective was to evaluate variables hypothesized to be related to attrition, by modeling predictors of attrition in a secondary data analysis of two cohorts of an international, dual language (English and Spanish) Internet smoking cessation intervention. The two cohorts were identical except for the approach to follow-up (FU): one cohort employed only fully automated FU (n = 16 430), while the other cohort also used 'live' contact conditional upon initial non-response (n = 1000). Attrition rates were 48.1 and 10.8% for the automated FU and live FU cohorts, respectively. Significant attrition predictors in the automated FU cohort included higher levels of nicotine dependency, lower education, lower quitting confidence and receiving more contact emails. Participants' younger age was the sole predictor of attrition in the live FU cohort. While research on large-scale deployment of Internet interventions is at an early stage, this study demonstrates that differences in attrition from trials on this scale are (i) systematic and predictable and (ii) can largely be eliminated by live FU efforts. In fully automated trials, targeting the predictors we identify may reduce attrition, a necessary precursor to effective behavioral Internet interventions that can be accessed globally.

Background

Standardized means to identify patients likely to benefit from language assistance are needed.

Objective

To evaluate the accuracy of the U.S. Census English proficiency question (Census-LEP) in predicting patients' ability to communicate effectively in English.

Design

We investigated the sensitivity and specificity of the Census-LEP alone or in combination with a question on preferred language for medical care for predicting patient-reported ability to discuss symptoms and understand physician recommendations in English.

Participants

Three hundred and two patients > 18 who spoke Spanish and/or English recruited from a cardiology clinic and an inpatient general medical-surgical ward in 2004-2005.

Results

One hundred ninety-eight (66%) participants reported speaking English less than "very well" and 166 (55%) less than "well"; 157 (52%) preferred receiving their medical care in Spanish. Overall, 135 (45%) were able to discuss symptoms and 143 (48%) to understand physician recommendations in English. The Census-LEP with a high-threshold (less than "very well") had the highest sensitivity for predicting effective communication (100% Discuss; 98.7% Understand), but the lowest specificity (72.6% Discuss; 67.1% Understand). The composite measure of Census-LEP and preferred language for medical care provided a significant increase in specificity (91.9% Discuss; 83.9% Understand), with only a marginal decrease in sensitivity (99.4% Discuss; 96.7% Understand).

Conclusions

Using the Census-LEP item with a high-threshold of less than "very well" as a screening question, followed by a language preference for medical care question, is recommended for inclusive and accurate identification of patients likely to benefit from language assistance.