Exploring Health Literacy in Individuals with Alcohol Addiction: A Mixed Methods Clinical Study

The Relationship Between a Healthy People 2030 Health Literacy-Related Objective (HC/HIT02) and Cancer Prevention and Screening Behaviors

Healthy People 2030 highlights the importance of both personal and organizational health literacy (HL) to improving population health. Yet, most research focuses on personal-level HL or fails to study the effect of both types of HL on health behavior. This study explored the relationships between organizational HL (Healthy People 2030 objective: decrease the proportion of adults who report poor communication with their health care provider), personal-level HL, and cancer prevention and screening behaviors. Data were collected using Qualtrics Panel. Participants who indicated they had a non-emergency room provider visit in the last 12 months were included in the analyses. Participants (n=549, Mean age = 41.44 years, SD = 15.91; 51.9% female; 54.3% White, 28.8% Hispanic/Latino/a/x) completed measures of personal and organizational HL and reported on their cancer prevention (e.g., cigarette smoking) and screening (e.g., mammogram) behaviors. Hierarchical linear and logistic regressions predicting cancer prevention and screening behaviors, respectively, from organizational HL, personal HL, and demographic covariates, were estimated. Regarding the results, higher organizational HL was related to higher fruit and vegetables consumption and physical activity after accounting for personal-level HL and demographic covariates. Higher personal-level HL was related to lower physical activity, binge-drinking, and cigarette smoking, and higher odds of pap smear screening, prostate-specific antigen testing, and completing all eligible screenings after accounting for organizational-level HL and demographic covariates. The findings support that personal-level and organizational HL may be differentially important to improving cancer prevention and screening behaviors. Policies that address improving both personal-level and organizational-level HL are needed.

The Relation of Social-ecological Factors and Health Literacy to Medical Students' Alcohol Use Behavior in Hubei Province, China

BACKGROUND

Health literacy (HL) plays a crucial role in the adolescent's behavior. Inadequate HL can contribute to engaging in risky alcohol consumption, but little is known about this relationship among medical students. We aimed to investigate the relationship between HL and alcohol use among Chinese medical students. Study Design: A cross-sectional design.

METHODS

This research was conducted on 1146 medical students in Hubei province, China. The data were collected using a web-based online questionnaire. Multiple logistic regression was applied to investigate factors related to alcohol use.

RESULTS

Approximately 45.3% of medical students were drinkers, about 11.5% were hazardous drinkers, and 33.8% were low-risk drinkers; furthermore, about 49.3% of them reported lower levels of HL. In both the low-risk and hazardous drinking groups, the subjects who had low levels of all six dimensions of HL were more likely to use alcohol after adjusting for other covariates, including cognitive skill (adjORfor low-risk=3.50; 95% CI: 2.41, 5.07, adjORhazardous=2.07; 95% CI: 1.22, 3.51), access skill (adjORfor low-risk=2.11; 95% CI: 1.46, 3.05, adjORhazardous=2.40; 95% CI: 1.37, 4.19), communication skill (adjORfor low-risk=1.72; 95% CI: 1.20, 2.47, adjORhazardous=2.21; 95% CI: 1.22, 4.00), self-management skill (adjORfor low-risk=1.73; 95% CI: 1.15, 2.59, adjORhazardous=4.01; 95% CI: 1.91, 8.44), media skill (adjORfor low-risk=1.50; 95% CI: 1.01, 2.23, adjORhazardous=4.68; 95% CI: 2.15, 10.17), and decision skill (adjORfor low-risk=2.12; 95% CI: 1.49, 3.00, adjORhazardous=2.25; 95% CI: 1.35, 3.74).

CONCLUSION

Inadequate HL plays an important role in increasing alcohol use. Thus, prevention and intervention strategies should be based on improving medical students' HL.

Testing a Digital Health App for Patients With Alcohol-Associated Liver Disease: Mixed Methods Usability Study

BACKGROUND

Alcohol-associated liver disease (ALD) is increasingly common and associated with serious and costly health consequences. Cessation of drinking can improve ALD morbidity and mortality; however, support for cessation is not routinely offered to those diagnosed with ALD, and continued drinking or resumption of drinking after diagnosis is common. Mobile health (mHealth) has the potential to offer convenient and scalable support for alcohol cessation to those diagnosed with ALD, but mHealth interventions for alcohol cessation have not been designed for or evaluated in a population with ALD.

OBJECTIVE

This study aims to understand how individuals with ALD would perceive and use an mHealth tool for alcohol cessation and to gather their perspectives on potential refinements to the tool that would allow it to better meet their needs.

METHODS

We interviewed 11 individuals who attended clinic visits related to their ALD to elicit their needs related to support for alcohol cessation and views on how mHealth could be applied. After completing initial interviews (pre), participants were provided with access to an mHealth app designed for alcohol cessation, which they used for 1 month. Afterward, they were interviewed again (post) to give feedback on their experiences, including aspects of the app that met their needs and potential refinements. We applied a mixed methods approach, including a qualitative analysis to identify major themes from the interview transcripts and descriptive analyses of use of the app over 1 month.

RESULTS

First, we found that a diagnosis of ALD is perceived as a motivator to quit drinking but that patients had difficulty processing the overwhelming amount of information about ALD they received and finding resources for cessation of alcohol use. Second, we found that the app was perceived as usable and useful for supporting drinking recovery, with patients responding favorably to the self-tracking and motivational components of the app. Finally, patients identified areas in which the app could be adapted to meet the needs of patients with ALD, such as providing information on the medical implications of an ALD diagnosis and how to care for their liver as well as connecting individuals with ALD to one another via a peer-to-peer support forum. Rates of app use were high and sustained across the entire study, with participants using the app a little more than half the days during the study on average and with 100% (11/11) of participants logging in each week.

CONCLUSIONS

Our results highlight the need for convenient access to resources for alcohol cessation after ALD diagnosis and support the potential of an mHealth approach to integrate recovery support into care for ALD. Our findings also highlight the ways the alcohol cessation app should be modified to address ALD-specific concerns.

Post-treatment Outcomes and Changes in Health Literacy of People Discharged from Specialist Substance Use Disorder Treatment Services

Health literacy comprises an individual’s ability to adequately access, understand and utilise health information, enabling effective navigation of the healthcare system. Low health literacy is a problem for people living with substance use disorders (SUDs). This study aims to examine whether health literacy changes for people discharged from specialist SUD treatment services. Two hundred thirty-one people recruited from residential SUD treatment services across New South Wales, Australia, completed a questionnaire upon entry into the service and again at 6 months post-treatment. Treatment outcomes were also measured. Three health literacy profiles were identified: lowest (n = 52, 22.5%), moderate (n = 111, 48.1%) and highest health literacy (n = 68, 29.4%). Lowest and moderate profiles showed improved health literacy at 6 months. However, the lowest profile still had significantly lower health literacy, quality of life and higher levels of psychological distress compared with participants in the highest profile at 6 months. People within the lowest health literacy profile improved, although they continued to experience lower health literacy and some poorer treatment outcomes. Health literacy interventions tailored for people within lowest health literacy profiles should be implemented and assessed for effectiveness within specialist SUD treatment services.

Young Adults and Sick Leave Length of Mental Illnesses

Objectives

The objective was to explore whether a sick leave length related to mental morbidity differs across different occupational categories.

Methods

In the analysis, registry of sick leaves was analyzed. Provided analysis is focused on the length of sick leaves related to mental diseases caused by substance use or other factors. Dependent variable is the sick leave length, and the independent variables are the categories of disease and occupation. Kruskal–Wallis test, Shapiro–Wilk test, and Brown–Forsythe (B–F) are used.

Results

There are differences in mental sick leave lengths caused by substance use or other factors. In the case of mental illnesses attributable to drugs, differences in the sick leave duration among different working groups were not found. Considering mental disorders caused by other factors, there are differences in the sick leave duration among different working groups.

Conclusions

There is no evidence of longer sick leave in people diagnosed with mental disorder related to substance use. Differences in occupational categories do not relate to sick leave length.

Sustainable Health and Wellbeing in the European Union

Background

Altogether, 17 Sustainable Development Goals (SDGs) are an urgent call for action to end poverty, protect the planet, and ensure prosperity for all. Goal 3 is crucial in terms of good health and wellbeing. The main aim of this study is to analyze and evaluate differences among indicators of SDG 3: Sustainable health and wellbeing in the EU countries.

Methods

The status and development of the EU Member States regarding their successes or failures in terms of Goal 3 were subjected to analysis. Altogether, 11 indicators were used to rank the EU countries using the TOPSIS and ranking methods. The ranks were assigned to the countries in two periods. The first period is related to the time from 2010 till 2014, and the second period from 2015 till 2019.

Results

The EU countries achieved a positive development in 10 of 11 indicators that monitor the achievement of the EU in terms of Goal 3. The only variable that changed negatively was the obesity rate. Positivity was observed in the decline of the standardized preventable and treatable mortality, which declined from 317.3 in the first period to 295 in the second period; the drop of the population weighted annual mean concentration of fine particulate PM2.5, from 16.4 to 13.6 μg/m³, and also in the increase of the share of people with good or very good perceived health, which was combined with a decrease of the self-reported unmet need for medical examination and care. The best-rated country in terms of SDG 3 was, in both periods, Sweden, while the worst-rated was Latvia.

Conclusions

Governments and institutions in the EU can intervene to increase the accessibility and quality of the health care system, but every citizen should try to do their best to reduce some of the risk factors, such as smoking or obesity, to try living healthier and to help to achieve higher ambitions in terms of sustainable health and wellbeing.