This statistic depicts the average general health literacy in the European Union in 2015. The results indicate that 36 percent of the population demonstrated sufficient general health literacy, whereas it was found that the general health literacy of 35 percent of the population was problematic.

Recent burst references of health literacy (2015–2020).

This series of information sheets introduces health literacy, its relevance to public policy, and the ways it can be used to inform the promotion of good health, the prevention and management of communicable and noncommunicable diseases, and the reduction of health inequities. It provides information and links to further resources to assist organizations and governments to incorporate health literacy responses into practice, service delivery systems, and policy.

ABSTRACT Objectives: to report the user experience of the webQDA software in the support of qualitative data analysis about health literacy of older adults. Methods: quasi-experimental research developed from January 2014 to January 2015, with 118 older adults, all of whom were interviewed to assess the level of health literacy. Interviews were carried out before and after four educational interventions, according to Freire's method named Culture Circle. The interviews were transcribed and entered in the software, which highlighted the analytical categories. Results: the systems of sources, interpretative encoding and questioning of the data available in the software allowed the construction of three categories for the literacy levels and four categories for their dimensions. Final considerations: We concluded that the webQDA software enables the structured encoding of qualitative materials, ensuring faster and effective management of data with systematization and analytical transparency.

This is the underlying data for analysis in the paper entitled"Association of Women’s Literacy and Children’s Mortality Rate Among Countries in Southeast Asia 2015-2019"

BackgroundUp to 1.45 billion people currently suffer from soil transmitted helminth infection, with the largest burden occurring in Africa and Asia. Safe and cost effective deworming treatment exists, but there is a debate about mass distribution of this treatment in high prevalence settings. While the World Health Organization recommends mass administration of anthelmintic drugs for preschool and school-aged children in high (>20%) prevalence settings, and several long run follow up studies of an influential trial have suggested large benefits that persist over time, recent systematic reviews have called this recommendation into question.Methods and findingsThis paper analyzes the long-term impact of a cluster-randomized trial in eastern Uganda that provided mass deworming treatment to preschool aged children from 2000 to 2003 on the numeracy and literacy skills of children and young adults living in those villages in 2010-2015. This study uses numeracy and literacy data collected seven to twelve years after the end of the deworming trial in a randomly selected subset of communities from the original trial, by an education-focused survey that had no relationship to the deworming study. Building on an earlier working paper which used data from 2010 and 2011 survey rounds, this paper uses an additional four years of numeracy and literacy data (2012, 2013, 2014, and 2015). Aggregating data from all survey rounds, the difference between numeracy scores in treatment versus control communities is 0.07 standard deviations (SD) (95% CI -0.10, 0.24, p = 0.40), the difference in literacy scores is 0.05 SD (95% CI -0.16, 0.27, p = 0.62), and the difference in total scores is 0.07 SD (95% CI -0.11, 0.25, p = 0.44). There are significant differences in program impact by gender, with numeracy and literacy differentially positively affected for girls, and by age, with treatment effects larger for the primary school aged subsample. There are also significant treatment interactions for those living in households with more treatment-eligible children. There is no evidence of differential treatment effects on age at program eligibility or number of years of program eligibility.ConclusionsMass deworming of preschool aged children in high prevalence communities in Uganda resulted in no statistically significant gains in numeracy or literacy 7-12 years after program completion. Point estimates were positive but imprecise; the study lacked sufficient power to rule out substantial positive effects or more modest negative effects. However, there is suggestive evidence that deworming was relatively more beneficial for girls, primary school aged children, and children living in households with other treated children.Research approvalAs this analysis was conducted on secondary data which is publicly available, no research approval was sought or received. All individual records were anonymized by the data provider prior to public release.

Ten to Men: The Australian Longitudinal Study on Male Health was commissioned by the Department of Health and Aged Care following the 2010 National Male Health Policy, and currently serves the National Men’s Health Strategy 2020-2030. This is Australia’s first national longitudinal study that focuses exclusively on male health and wellbeing. The cohort was recruited using a stratified, multi-stage & cluster sampling design to select males aged 10–55 years. Recruitment of eligible participants and Wave 1 of the data collection occurred between October 2013 and July 2014, resulting in a reconciled sample size of 16,021. The survey content was structured around six key research domains relevant to male health: wellbeing and mental health, use of health services, health-related behaviours, health status, health knowledge and social determinants. Wave 2 of the data collection occurred between November 2015 and May 2016. The sample size for Wave 2 was 11,936. The Wave 2 questionnaires largely retained Wave 1 items to obtain repeat longitudinal measures. New items added included additional questions on relationships, mental health, health literacy, help-seeking and resilience. Release 2.1 comprised of updated Wave 1 and Wave 2 datasets. These datasets have undergone changes to previous releases, including the renaming of variables, confidentialisation and other modifications. Release 2.1 offers General Release and Restricted Release. Wave 3 of the data collection occurred between July 2020 and February 2021. The sample size for Wave 3 was 7,919. The Wave 3 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on gambling, use of e-cigarettes, illicit drug use, gender identity, generalised anxiety, relationship quality, individual income, COVID-19 impact and natural disaster impact. Release 3.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Wave 4 of the data collection occurred between August 2022 and December 2022. The sample size for Wave 4 was 7,050. The Wave 4 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on health conditions, masculinity, fathering ethnicity, gender & sexuality, intimidate partner violence, and injuries. Release 4.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Release 4.0.1 is the most recent data release and offers updates to all waves of the General Release and Restricted Release datasets as explained in Change Log Registry.

This dataset contains detailed and disaggregated information on demographic and socio-economic characteristics of the country’s population and households at village, district and provincial level. Those thematic information are general demographic characteristics, migration, literacy and education, health and disabilities, ethnicity and religion, economic activities, poverty and inequality, and living conditions. The 4th Population and Housing Census (PHC) 2015 was conducted from March 1-7, 2015 according to Prime Ministerial Decree No.89/PM, dated September 11, 2013. The PHC has been conducted in the country every 10 years since 1985.

Ten to Men: The Australian Longitudinal Study on Male Health was commissioned by the Commonwealth Department of Health in 2011 in response to the 2010 National Male Health Policy. This is Australia’s first national longitudinal study that focuses exclusively on male health and wellbeing. The cohort was recruited using a stratified, multi-stage & cluster sampling design to select males aged 10–55 years. Recruitment of eligible participants and Wave 1 of the data collection occurred between October 2013 and July 2014, resulting in a reconciled sample size of 16,021. The survey content was structured around six key research domains relevant to male health: wellbeing and mental health, use of health services, health-related behaviours, health status, health knowledge and social determinants. Wave 2 of the data collection occurred between November 2015 and May 2016. The sample size for Wave 2 was 11,936. The Wave 2 questionnaires largely retained Wave 1 items to obtain repeat longitudinal measures. New items added included additional questions on relationships, mental health, health literacy, help-seeking and resilience. Release 2.1 comprised of updated Wave 1 and Wave 2 datasets. These datasets have undergone changes to previous releases, including the renaming of variables, confidentialisation and other modifications. Release 2.1 offers General Release and Restricted Release. Wave 3 of the data collection occurred between July 2020 and February 2021. The sample size for Wave 3 was 7,919. The Wave 3 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on gambling, use of e-cigarettes, illicit drug use, gender identity, generalised anxiety, relationship quality, individual income, COVID-19 impact and natural disaster impact. Release 3.0 is the most recent data release and offers General Release and Restricted Release and linked MBS and PBS datasets.

In 2011/2012, key adult competencies were assessed in 24 countries (including Germany) as a part of the OECD Programme for the International Assessment of Adult Competencies (PIAAC). The German PIAAC Longitudinal Project (PIAAC-L) follows up the German PIAAC sample with three additional waves of data collection (in 2014, 2015, and 2016), each with a somewhat different focus. The PIAAC-L questionnaires are largely based on core instruments from the German Socio-Economic Panel (SOEP), but sometimes include parts of the PIAAC background questionnaire and various additional questions and modules on the respondent’s background adopted from other surveys as well as a number of new questions. In addition, assessment instruments from PIAAC and NEPS (National Educational Panel Study) measuring key competencies are implemented. The objective of the PIAAC-L project is to significantly expand the German PIAAC database by adding a longitudinal dimension and by enriching the depth and breadth of information available on the German PIAAC respondents. This approach extends the analytical potential of the German PIAAC data and allows a myriad of additional research questions to be addressed. PIAAC-L is a collaborative effort undertaken by GESIS – Leibniz Institute for the Social Sciences (lead) together with the German Institute for Economic Research (DIW Berlin) and the Leibniz Institute for Educational Trajectories (LIfBi).

The German PIAAC 2012 respondents that had given their consent to being re-contacted for a potential follow-up survey (anchor persons) form the starting point for PIAAC-L. In order to obtain further information on the context of these anchor persons, the PIAAC-L approach additionally includes household members ages 18+ as well as the administration of a comprehensive household questionnaire (in waves 1 and 3).

The 2014 data collection (wave 1) implemented core SOEP questionnaires (for persons and households). For the 2015 data collection (wave 2), we developed an extensive background questionnaire (including items from PIAAC, NEPS, SOEP, as well as a number of other surveys). This questionnaire, followed by an assessment of literacy and numeracy using PIAAC and NEPS measurement instruments, was administered to anchor persons and their partners – if the latter lived in the same household as the anchor. As in wave 1, the 2016 data collection once again collected interviews from all adults living in the anchor person’s household using core SOEP questionnaires; the SOEP person questionnaire was extended to include new questions and modules (for example on adult education). In wave 3, respondents were also administered the SOEP short cognitive performance tasks. In addition, cognitive items from a Number Series Study carried out by the German Institute for International Educational Research (DIPF) were included as an add-on module.

Data Collection 2014 Core SOEP questionnaires were implemented in the 2014 data collection. The household questionnaire includes the following topics: - Living situation, conditions and costs - Household income and benefits, wealth - Children and other household members

The person questionnaire includes questions on: - Background information, family, and childhood - Biographical calendar - Formal education (general and vocational education), continuing professional education - Work status, situation and history - Income and benefits - Health, attitudes, personality, opinions, satisfaction - Time use and leisure activities

Data Collection 2015 In 2015 respondents were administered first a CAPI questionnaire and then a cognitive assessment using PIAAC instruments and NEPS instruments. The person questionnaire encompasses questions from several surveys (e.g., PIAAC 2012, SOEP, NEPS, AES, or PISA) and includes the following topics: - General, vocational and professional education - Current status and employment, income - Skills used at work - Computer skill use - Mother tongue(s) and knowledge of foreign languages - Self-assessment of numeracy and literacy - Health, leisure, friends - Family and relationships - Background information (e.g., parents, citizenship) - Satisfaction

The cognitive assessment implemented the following instruments: - PIAAC Literacy - PIAAC Numeracy - NEPS Reading Speed - NEPS Reading - NEPS Mathematics As in PIAAC 2012, the PIAAC assessment items were administered per default computer-based, but a paper-based version was available for respondents who could or...

This thesis was informed by using three existing datasets. The main dataset (RAFiP) was collected as part of a randomised controlled trial conducted in Ghana in 2015 and 2016. Baseline data was collected on 1,441 respondents while endline data was collected on 1,415 respondents. This data covered sections on demographic information, financial literacy, household consumption, asset accumulation, financial inclusion, health expenditure and others. The other two datasets are the sixth and seventh rounds of the Ghana Living Standards Survey (GLSS) that was collected by the Ghana Statistical Service. GLSS6, which was collected in 2012/13, sampled 16,772 households while GLSS7 (collected in 2016/17) had a sample size of 14,009 households. The GLSS surveys cover sections on demography, housing conditions, employment, education, water and sanitation, health, access to financial institutions and insurance services, remittance and household assets, poverty, disability, migration, agriculture, non-farm activities and governance, among others.

The number of TB, HIV and TB/HIV patients reported in Ethiopia, 2015–2017.

Baseline means for endline analytical sample, by study arm.

Socio-demographic characteristics of participants in the qualitative interviews.

Estimated intent-to-treat effects on primary outcomes at endline, by study arm.

Estimated intent-to-treat effects on secondary outcomes summary measures at endline, by study arm.