Analysis of the relationship between unregistered employment and occupational accidents in Turkey.

BACKGROUND: Occupational accidents are anticipated to decline when unregistered employment declines because of more regulated working conditions, inspections, and opportunities for legal protection. In the study, the accuracy of this presumption was examined. OBJECTIVE: This study aims to examine how to protective legal regulations generate a relationship between occupational accidents and informal employment such as the Occupational Health and Safety Law in Turkey. METHODS: In the research, which was structured within the framework of the quantitative method, various levels of relationship chains were created between informal employment and occupational accidents using correlation and slope calculations. The official data set was created using secondary data from the Turkish Statistical Institute and the Social Security Institution. RESULTS: It has been determined that the low positive correlation (r = 0.166) between unregistered employment and occupational accidents in 2008-2012 (pre-legislation period) in Turkey changed to the medium-negative direction (r=-0.602) in 2013-2020 (legislation period). While the assumption that unregistered employment would decrease in the first period was confirmed, the hypothesis was falsified by the increase in occupational accidents despite the decrease in informality in the second period. CONCLUSION: This study is unique because it shows that in a developing country where unregistered employment is high, the protective regulations for work accidents do not reflect a decrease in the number of work accidents in the short and medium term.

Valuating the efficiency of social security and healthcare in OECD countries from a sustainable development.

Under the goal of sustainable development, coping with the increase in social security and healthcare expenses caused by population aging is becoming increasingly important, but it is rare in the literature to evaluate the impact of social security efficiency on healthcare efficiency. This research uses the dynamic SBM two-stage model to observe the efficiencies of social security and healthcare in OECD countries. There are two findings as follows. First, the higher social security efficiency is, the better is the healthcare efficiency of countries with lower per capita GDP. Second, higher social security efficiency of National Health Service (NHS) countries denote better healthcare efficiency. When the financial source of the social security system is taxation, then it is more likely to bring higher efficiency to healthcare.

The Case for Universal Long-Term Care.

Long-term care (LTC) is one of the most pressing public policy challenges today. Implementing policies to meet the population's demands becomes relevant in many countries, particularly in a context of rapid population aging. Both the technical complexities and the financial burden of implementing LTC policies discourage policy makers' actions in this area. In this environment, targeted policies arise as a solution to reduce the cost of implementing LTC policies. This article presents several arguments in favor of implementing universal-vs targeted-LTC initiatives. Arguments are divided into general arguments against targeting public policies, using categories proposed by Amartya Sen, and LTC-specific arguments, based on the concept of LTC as social security. Information shows that despite the financial arguments in favor of targeted policies, in the case of LTC, its costs may overcome the benefits. These results provide important lessons for policy makers, particularly regarding the design of (universal) LTC policies, warning that the allegedly simple solution of targeting benefits needs to be revisited, and replaced for policies that could balance universalism and resource constraints. This message is particularly important today for countries that face the challenge of increasing LTC needs and tighter resource constraints.

Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis.

Economic determinants are important for population health, but actionable evidence of how policies can utilise these pathways remains scarce. This study employs a microsimulation framework to evaluate the effects of taxation and social security policies on population mental health. The UK economic crisis caused by the COVID-19 pandemic provides an informative context involving an economic shock accompanied by one of the strongest discretionary fiscal responses amongst OECD countries. The analytical setup involves a dynamic, stochastic, discrete-time microsimulation model (SimPaths) projecting changes in psychological distress given predicted economic outcomes from a static tax-benefit microsimulation model (UKMOD) based on different policy scenarios. We contrast projections of psychological distress for the working-age population from 2017 to 2025 given the observed policy environment against a counterfactual scenario where pre-crisis policies remained in place. Levels of psychological distress and potential cases of common mental disorders (CMDs) were assessed with the 12-item General Health Questionnaire (GHQ-12). The UK policy response to the economic crisis is estimated to have prevented a substantial fall (over 12 percentage points, %pt) in the employment rate in 2020 and 2021. In 2020, projected psychological distress increased substantially (CMD prevalence increase >10%pt) under both the observed and the counterfactual policy scenarios. Through economic pathways, the policy response is estimated to have prevented a further 3.4%pt [95%UI 2.8%pt, 4.0%pt] increase in the prevalence of CMDs, approximately 1.2 million cases. Beyond 2021, as employment levels rapidly recovered, psychological distress returned to the pre-pandemic trend. Sustained preventative effects on poverty are estimated, with projected levels 2.1%pt [95%UI 1.8%pt, 2.5%pt] lower in 2025 than in the absence of the observed policy response. The study shows that policies protecting employment during an economic crisis are effective in preventing short-term mental health losses and have lasting effects on poverty levels. This preventative effect has substantial public health benefits.

Drug Prescription Indicators in Outpatient Services in Social Security Organization Facilities in Iran.

OBJECTIVES: The aim of this study was to estimate drug prescription indicators in outpatient services provided at Iran Social Security Organization (SSO) healthcare facilities. METHODS: Data on all prescribed drugs for outpatient visits from 2017 to 2018 were extracted from the SSO database. The data were categorized into 4 main subgroups: patient characteristics, provider characteristics, service characteristics, and type of healthcare facility. Logistic regression models were used to detect risk factors for inappropriate drug prescriptions. SPSS and IBM Modeler software were utilized for data analysis. RESULTS: In 2017, approximately 150 981 752 drug items were issued to outpatients referred to SSO healthcare facilities in Iran. The average number of drug items per outpatient prescription was estimated at 3.33. The proportion of prescriptions that included an injection was 17.5%, and the rate of prescriptions that included an antibiotic was 37.5%. Factors such as patient sex and age, provider specialty, type of facility, and time of outpatient visit were associated with the risk of inappropriate prescriptions. CONCLUSIONS: In this study, all drug prescription criteria exceeded the recommended limits set by the World Health Organization. To improve the current prescription patterns throughout the country, it would be beneficial to provide providers with monthly and annual reports and to consider implementing some prescription policies for physicians.

The mortality experience of disabled persons in the United States during the COVID-19 pandemic.

New data from the Social Security Administration suggest there were 260 000 excess deaths in the United States among current or former disability beneficiaries during the first 22 months of the COVID-19 pandemic. These beneficiaries accounted for 26% of all excess deaths in the United States during this period. The pattern of deaths among disabled beneficiaries corresponds closely to known milestones in the pandemic's history. Disabled beneficiaries in New York, particularly those residing in institutions, had extremely elevated mortality with the onset of the pandemic in the spring of 2020. Across all regions in the United States, mortality among disability beneficiaries increased sharply with the onset of the winter of 2020-2021 and with the emergence of the Delta and Omicron variants in 2021. Elevated mortality was observed for persons with intellectual, mental, and physical impairments. Future public information campaigns about vaccines and other measures may be more successful if they include specific efforts to directly target disability beneficiaries. In addition, clinical trials and other research should consider including disabled persons as specific study groups as the severity of their underlying health impairments is likely comparable to that of persons of advanced age.

[Additional qualification "Social medicine" for physicians]. / Zusatzbezeichnung "Sozialmedizin" für Ärztinnen und Ärzte.

Social medicine is the medical field that specializes in relationships between health, disease, and society. The goal of social medical care should be to enable functioning and participation in all areas of life as much as possible. Social medicine can be understood as a bridge between individual health care and public health and to other medical specialties. Expertise in social medicine is also helpful for dermatology and in daily clinical practice. This article presents the specialization "social medicine" in Germany.

[Factors associated with caregiver burden in primary caregivers of older adults with type2 diabetes]. / Factores asociados a la sobrecarga del cuidador en cuidadores primarios de personas adultas mayores con diabetes tipo2.

OBJECTIVE: To characterize the profile of the informal primary caregiver (IPC) of adult patients with type2 diabetes (T2D) and the possible factors associated with caregiver collapse (CC). DESIGN: Observational, descriptive, cross-sectional and analytical study. SITE: Ambulatory Care Medical Unit. PARTICIPANTS: Mexican CPIs of adult patients with T2D. MAIN MEASUREMENTS: Data were collected through a prolective design using the Zarit scale and a structured survey on sociodemographic factors. A descriptive statistical analysis and univariate and multivariate logistic regression models were performed. RESULTS: The CPI profile is assumed by: women, people aged 36-58, daughters, people with a secondary and high school educational level, married, Catholic, with income <8,900 Mexican pesos, own home, inhabited by a maximum of 5 inhabitants, with support networks, who have dedicated >5years to the care of their patient, without training and with chronic diseases. The risk factors that increase the risk of CC are: being a woman (OR=11.03; 95%CI: 1.49-81.95), having a history of more than 5years of having assumed the role of caregiver (OR=2, 65; 95%CI: 1.07-6.55), living in one's own house (OR=3.03; 95%CI: 1.04-8.82), with 6 or more inhabitants (OR=2.41; 95%CI: 1.08-5.38). The support of other family members and/or friends was associated as a protective factor (OR=0.15; 95%CI: 0.07-0.33). CONCLUSIONS: Prevention programs are required to avoid CC and complications, as well as interventions to improve the quality of life of the CPI and patients in care, incorporating strategies to generate and/or increase their family and social support networks.

Trapped in vicious cycles: unraveling the health experiences and needs of adults living with socioeconomic insecurity.

BACKGROUND: This study explores the role of health in daily life and needs of Dutch adults (aged 25-49) experiencing one or more forms of socioeconomic insecurity stemming from their financial, housing, or employment situations. METHODS: 28 in-depth, semi-structured interviews were conducted in the Netherlands between October 2022 and February 2023. The interview guide included questions on participants' socioeconomic situation, the role of health in their daily lives, their health-related and broader needs. Data was interpreted using inductive reflexive thematic analysis. An advisory board consisting of adults with lived experiences of socioeconomic insecurity were consulted at multiple stages of the study (recruitment, interview guide, interpretation of results). RESULTS: Housing insecurity was widely experienced by participants. When asked about their financial situation, most participants expressed having no issues getting by, but later on, described vigorous efforts to minimize expenses. Participants' narratives revealed four key themes in relation to the role of health in daily life and associated needs. Firstly, socioeconomic insecurity led to diminished control over life, which led to the disruption of routines. Secondly, experiencing socioeconomic insecurity compelled participants to prioritize stress reduction and mental health improvement through calming yet potentially damaging coping mechanisms. Thirdly, those who experienced little opportunity for improvement in their already long-lasting socioeconomic insecurity shared a sense of stagnation in life, which co-occurred with stagnation in unhealthy routines and diminished well-being. Fourthly, participants expressed the need for someone to speak with. This support may help participants regain control over their lives, identify opportunities for more socioeconomic security, and focus on increased health and well-being. CONCLUSIONS: This study sheds light on the challenges individuals face in dealing with socioeconomic insecurity, how it may affect their health, and their needs. Gaining perspective for improved socioeconomic security and having accessible professional support tailored to self-identified needs could have health-promoting effects for individuals living with socioeconomic insecurity. It is recommended to integrate professional support and assistance regarding social security into health policies and interventions. In future research, measures of financial strain should be adjusted to include the effort needed to get by.

Inequalities in women's health insurance coverage before and after the implementation of universal health insurance in Indonesia.

Indonesia implemented a National Social Security System (Jaminan Kesehatan Nasional, JKN) in 2014. To examine the changes in the magnitude of socioeconomic inequity in women's health insurance coverage among those of reproductive age, we conducted a repeated cross-sectional study design using data from the Indonesia Demographic and Health Surveys conducted in 2012 and 2017, before and after the implementation of JKN. Results showed that while the JKN program helped to increase health insurance coverage among Indonesian women of childbearing age, low education level and household wealth status were associated with an increase in inequalities in health insurance coverage. The findings highlight the need to sustain coverage for citizens and to extend the JKN program to informal workers to reduce health coverage disparities. Further research is required to explore the mechanisms responsible for health coverage inequality based on socioeconomic indicators.

Tailored vocational rehabilitation for people with a work disability pension in The Netherlands; an in-depth data analysis of the content and outcomes of vocational rehabilitation trajectories of the Social Security Institute.

PURPOSE: People with a work disability pension receive vocational rehabilitation (VR) services from the Dutch Social Security Institute (SSI) in order to facilitate return-to-work (RTW). The SSI offers tailored VR existing of two trajectories (aimed at getting fit for work or aimed at returning to work). The purpose of this study is to describe the current practice of VR. This includes a description of client characteristics, RTW barriers and the intensity, duration, content and the outcomes of the offered trajectories. MATERIALS AND METHODS: We analyzed data from 197 clients that were randomly selected from clients who attended a VR trajectory between 1 January t 2017 and 31 December 2018. Data were obtained from the SSI registration databases and client files. RESULTS: Both VR trajectories at the SSI have a different aim, but in practice the content of the VR interventions often overlaps. Around half of both trajectories reached their goal. Reasons for unsuccessful trajectories were that the client did not find work or barriers were more complex than initially assessed. CONCLUSIONS: The SSI delivers tailored VR to the specific needs of the client, however substantiations for why a certain VR intervention is offered are limited. Guidelines are needed to support professionals.

This study shows the usual practice of vocational rehabilitation by the Dutch Social Security Institute for all clients with a work disability pension who attended between January 2017 and January 2019.The rationale why a certain vocational rehabilitation intervention is offered by vocational rehabilitation professionals is often unclear or missing.This missing rationale may lead to unwanted practice variation, which is a barrier for evidence-based vocational rehabilitation.Tools and guidelines are needed to support professional decision making and evidence-based vocational rehabilitation and improve return to work.

Appraisal of universal health insurance and maternal health services utilization: pre- and post-context of the Jaminan Kesehatan Nasional implementation in Indonesia.

Introduction: The Indonesian government introduced universal health insurance through the National Social Security System (JKN) in 2014 to enhance overall healthcare. This study compares maternal health care (MHC) service utilization before and after JKN implementation in Indonesia. Method: Using 2012 and 2017 data from Indonesia Demographic and Health Surveys (DHS), we conducted a two-period cross-sectional design study following the Anderson model. We assessed how the JKN policy and population characteristics influenced healthcare utilization for women aged 15-49 who had given birth in the last 5 years. Multivariable logistic regression models were used to assess the impact of the JKN policy and related factors. Result: In two waves of Indonesia DHS with 14,782 and 15,021 subjects, this study observed a significant increase in maternal healthcare service utilization post-JKN implementation. Women were more likely to have at least four antenatal care visits (adjusted odds ratio, AOR = 1.17), receive skilled antenatal care (AOR = 1.49), obtain skilled birth assistance (AOR = 1.96), and access facility-based delivery (AOR = 2.45) compared with pre-JKN implementation. Conclusion: This study revealed a significant positive impact of JKN on enhancing MHS utilization. The introduction of universal health insurance coverage likely reduced financial barriers for specific demographics, resulting in increased service utilization. Our study may offer valuable insights for Asian countries with similar demographics and health insurance implementations.

A roadmap for sustainable implementation of vocational rehabilitation for people with mental disorders and its outcomes: a qualitative evaluation.

BACKGROUND: People suffering from mental health disorders have lower work participation compared to people without mental challenges. To increase work participation within this group vocational rehabilitation interventions are often offered. Collaboration between the mental health care and social security sectors is needed to enable professionals to perform optimally when carrying out these interventions. Yet, regulatory and financial barriers often hinder sustainable implementation. To overcome these barriers an experimental roadmap for sustainable funding based on a shared savings strategy was piloted in four regions. The aim of the present qualitative study was to gain understanding of the uses of this roadmap and the factors that were important in the experiment's process. METHOD: The roadmap consisted of five steps based upon insights from shared savings strategies and implementation science knowledge, and was initiated by a national steering board. The roadmap aimed to make sustainable funding agreements (based on shared savings) for the implementation of a vocational rehabilitation intervention. In four regions, stakeholders from the mental health care and social security services sector followed the roadmap. We conducted interviews (n = 16) with involved participants and project leaders of the experiment and collected 54 sets of field notes and documents to evaluate the roadmap process. A thematic analysis was used to analyse the data. RESULTS: Regions perceived improved stakeholder collaboration around vocational rehabilitation after they were guided by the roadmap. Three regions made, or intended to make, agreements on collaboration and funding, yet not based on shared savings. Moreover, going through the roadmap took more time than anticipated. Stakeholder collaboration depended on factors like personal and organizational interests and collaboration conditions and values. Financial legislation and politics were regarded as barriers and personal motives were mentioned as a facilitator in this process. CONCLUSIONS: Our study showed that the roadmap supported stakeholders to establish a more sustainable collaboration, even though no sustainable financial agreements were made yet. Although participants acknowledged the function of financial insights and the need for financial resources, the driver for collaboration was found to be more on improving clients' perspectives than on solving unfair financial distribution issues. This suggests modifying the focus of the roadmap from financial benefits to improving clients' perspectives.

Predicting the risk of becoming eligible for the disability pension: Machine learning methods applied to French health data / Prédire le passage en invalidité : les méthodes d'apprentissage automatique appliquées aux données de santé françaises

Introduction: Benefiting from the disability pension implies morbid (physical and psychological) and social (fall in income) implications for the person. It also has economic consequences for society, with increasing expenses since 2011 (+4.9% on average per year). Investing in preventive actions against the loss of the ability to work should limit these consequences, but it requires targeting people at risk. The development of artificial intelligence opens up prospects in this regard. Purpose of the Research: To target, using supervised machine learning methods, those people with a high probability of becoming eligible for the disability pension over the course of the year based on their socio-demographic and medical characteristics (pathologies, work stoppages, drugs taken, and medical procedures). Method: Among the beneficiaries of the French public welfare system aged 20­64 in 2017, we compared the socio-demographic and medical characteristics between 2014 and 2016 of those who received a disability pension in 2017 and not before, and those who did not receive a disability pension from 2014 to 2017. The determination of the boundary between these two groups was tested using logistic regression, decision trees, random forests, naive Bayes classifiers, and support vector machines. The models' performance was compared with respect to accuracy, precision, sensitivity, specificity, and AUC (area under the curve). Finally, the predictive power of each factor was measured by AUC too. Results: The boosted logistic regression had the best performance for three of the five criteria, but low sensitivity. The best sensitivity was obtained with the support vector machines, with an accuracy close to that of the boosted logistic regression, but a lower precision and specificity. Random forests offered the best discriminatory ability. The naive Bayes classifier had the worst performance. The most predictive factors in becoming eligible for the disability pension were having 30 days or more off sick in 2014, 2015, and 2016 and being aged 55 to 64. Conclusion: Supervised learning methods have appeared relevant for identifying people with the highest probability of becoming eligible for the disability pension and, more broadly, for steering public and social policies.

Introduction: Le recours à la pension d'invalidité a des implications morbides (physiques ou psychiques) et sociales (baisse du revenu). Il a aussi des conséquences économiques pour la société, avec des dépenses croissantes depuis 2011 (+4,9 % en moyenne par année). Prévenir la perte de la capacité à travailler devrait permettre de limiter ces conséquences, mais nécessite de cibler les personnes à risque. Le développement des méthodes d'intelligence artificielle ouvre des perspectives en ce sens. But de l'étude: Cibler les personnes ayant une « forte ¼ probabilité de devenir bénéficiaires d'une pension d'invalidité dans l'année au regard de leurs caractéristiques sociodémographiques et médicales (pathologies, arrêts de travail, médicaments et actes médicaux) à partir de méthodes d'apprentissage automatique supervisé. Méthodes: Parmi les bénéficiaires du régime général âgés de 21 à 64 ans en 2017, comparaison des caractéristiques de 2014 à 2016 entre les nouveaux bénéficiaires d'une pension d'invalidité en 2017 et ceux n'en bénéficiant pas. La détermination de la frontière entre ces deux groupes a été testée à l'aide de la régression logistique, des arbres de décision, des forêts aléatoires, de la classification naïve bayésienne et des séparateurs à vaste marge. Les performances des modèles ont été comparées au regard de la justesse, la précision, la sensibilité, la spécificité et l'AUC (Area Under the Curve). Le pouvoir prédictif de chaque facteur est estimé à partir de l'AUC. Résultats: La régression logistique boostée avait les meilleures performances sur trois des cinq critères retenus, mais une faible sensibilité. La meilleure sensibilité était obtenue avec les séparateurs à vaste marge, avec une justesse proche de la régression logistique boostée mais une précision et une spécificité inférieures. Les forêts aléatoires offraient la meilleure capacité discriminatoire. Les facteurs les plus prédictifs du risque de passer en invalidité étaient le bénéfice d'au moins 30 jours d'indemnités journalières pour maladie en 2014, 2015 et 2016 et le fait d'être âgé de 55 à 64 ans. Conclusion: Les méthodes d'apprentissage supervisé sont apparues pertinentes pour le ciblage des personnes les plus à risque de recourir à la pension d'invalidité et, plus largement, pour le pilotage d'autres prestations sociales.

Whoever wants better healthcare simply pays more: citizens' perception about voluntary private health insurance in Colombia.

OBJECTIVES: To explore the perceptions that Colombians have about voluntary private health insurance plans (VPHI) in the health system to identify the tensions that exist between the public and private systems. METHODS: A qualitative case study approach with 46 semi structured interviews of patients, healthcare workers, healthcare administrators, decision-makers, and citizens. Interviews were recorded, transcribed, anonymized, digitally stored, and analyzed following grounded theory guidelines. RESULTS: We developed a paradigmatic matrix that explores how, in a context mediated by both the commodification of health and social stratification, perceptions about the failures in the public health system related to lack of timely care, extensive administrative procedures, and the search for privileged care led to positioning VPHI as a solution to these failures. The interviewees identified three consequences of using VPHI: first, the worsening of problems of timely access to care in the public system; second, higher costs for citizens translated into double payment for technologies and services to which they are entitled; third, the widening of inequity gaps in access to health services between people with similar needs but different payment capacities. CONCLUSIONS: These findings can help decision makers to understand citizens´ perceptions about the implications that VPHI may have in worsening equity gaps in the Colombian health system. It also shows, how VPHI is perceived as a double payment for services covered within social security plans and suggests that the perceived lack of timely access to care in the public systems and the fear that citizens have for themselves or their family members when using suboptimal healthcare are important drivers to purchase these private insurances.

RESUMEN: OBJETIVOS: Explorar las percepciones que tienen los colombianos sobre los planes de seguro de salud privados voluntarios (VPHI) en el sistema de salud para identificar las tensiones que existen entre los sistemas público y privado. MéTODOS: Un estudio cualitativo de caso con 46 entrevistas semiestructuradas a pacientes, trabajadores de la salud, administradores de salud, tomadores de decisiones y ciudadanos. Las entrevistas se grabaron, transcribieron y almacenaron de manera anónima. El análisis se hizo siguiendo conceptos de la teoría fundamentada. RESULTADOS: Desarrollamos una matriz paradigmática que explora cómo, en un contexto mediado tanto por la mercantilización de la salud como por la estratificación social, las percepciones sobre las fallas en el sistema de salud público relacionadas con la falta de atención oportuna, procedimientos administrativos extensos y la búsqueda de atención privilegiada llevaron a posicionar los VPHI como una solución a estas fallas. Los entrevistados identificaron tres consecuencias del uso de los VPHI: primero, el empeoramiento de los problemas de acceso oportuno a la atención en el sistema público; segundo, mayores costos para los ciudadanos, traducidos en un pago doble por tecnologías y servicios a los que tienen derecho; tercero, el aumento de las brechas de equidad en el acceso a los servicios de salud entre personas con necesidades similares pero diferentes capacidades de pago. CONCLUSIONES: Estos hallazgos pueden ayudar a los tomadores de decisiones a comprender las percepciones de los ciudadanos sobre las implicaciones que el VPHI puede tener en el empeoramiento de las brechas de equidad en el sistema de salud colombiano. También muestra cómo el VPHI se percibe como un pago doble por servicios cubiertos dentro de los planes de seguridad social y sugiere que la falta percibida de acceso oportuno a la atención en los sistemas públicos y el miedo que los ciudadanos tienen por sí mismos o por sus familiares cuando utilizan una atención sanitaria subóptima son factores importantes para adquirir estos seguros privados.

The Impacts of the COVID-19 Pandemic on Receipt of Needed Medical Care and At-Home Support among U.S. Households Receiving Supplemental Security Income and Social Security Disability Insurance on the Basis of Disability.

More than 8.1 million Americans with disabilities qualify for Supplemental Security Income (SSI) or Social Security Disability Insurance (SSDI). Individuals with disabilities were particularly vulnerable to COVID-19, which may have altered individual and household behavior. Research on the impact of COVID-19 on individuals with disabilities and their families remains limited. Authors analyzed 2020 National Health Interview Survey data. Logistic regression models were applied, controlling for the effects of age, race, sex, income, education, employment, and health status. Households with SSI/SSDI beneficiaries with disabilities were associated with significantly greater odds of delaying or forgoing medical care and receiving needed personal and household care at home due to COVID-19 compared with households without beneficiaries. The health and well-being of households with individuals with disabilities may require more robust and inclusive social work initiatives that aim to reduce adverse pandemic impacts.

Search Engines to Capture Missing Deaths From Institutional Data Warehouse.

INTRODUCTION: Clinical publications use mortality as a hard end point. It is unknown how many patient deaths are under-reported in institutional databases. The objective of this study was to query mortality in our patient cohort from our data warehouse and compare these deaths to those identified in different databases. METHODS: We passed the first/last name and date of birth of 134 patients through online mortality search engines (Find a Grave Index, US Cemetery and Funeral Home Collection, etc.) to assess their ability to capture patient deaths and compared that to deaths recorded from our institutional data warehouse. RESULTS: Our institutional data warehouse found approximately one-third of the total patient mortalities. After the Social Security Death Index, we found that the Find a Grave Index captured the most mortalities missed by the institutional data warehouse. These results highlight the advantages of incorporating readily available search engines into institutional data warehouses for the accurate collection of patient mortalities, particularly those that occur outside of index operative admission. CONCLUSIONS: The incorporation of the mortality search engines significantly augmented the capture of patient deaths. Our approach may be useful for tailored patient outreach and reporting mortalities with institutional data.

[Support for families with a mentally ill parent : Which forms of help do mentally ill parents utilize and which would they like to have?] / Unterstützung für Familien mit einem psychisch erkrankten Elternteil : Welche Hilfen nehmen psychisch erkrankte Eltern in Anspruch und welche wünschen sie sich?

BACKGROUND: In Germany different offers of social support are available for families that are provided by different sectors, e.g., the youth welfare and the healthcare systems. OBJECTIVE: Documentation of the utilized help, child-related factors that are associated with the utilization and the parental desires for support. MATERIAL AND METHODS: Survey of 160 parents undergoing (partial) inpatient treatment in psychiatric hospitals via an oral interview using standardized and semi-standardized instruments. RESULTS: The results show that nonprofessional help by family and friends as well as support offers provided by the healthcare system are used most frequently. Families that perceived their children as more burdened receive more help than families with children judged as being less burdened. There are regional differences especially in the utilization of high-threshold help by the healthcare system. DISCUSSION: Support offers seem to reach families with mental illnesses, especially those that are particularly burdened; however, there are regional differences regarding the utilization of support as well as the wishes for specific support offers.

Austeridade e financeirização: a construção do discurso reformista no campo previdenciário brasileiro / Austeridad y financiarización: la construcción del discurso reformista en el campo de la seguridad social brasileña / Austerity and financialization: the construction of the reformist discourse in the Brazilian social security field

Resumo O artigo busca traçar um panorama na construção dos discursos reformistas no campo previdenciário brasileiro pós-Constituição Federal de 1988. Para tanto, estabelece uma análise das exposições de motivos anexadas às Propostas de Emendas Constitucionais (PECs) e que justificam os projetos submetidas ao Parlamento brasileiro. O estudo tem como pressupostos teórico-metodológicos a análise de discurso crítica (ADC), buscando responder em que medida as concepções de austeridade e financeirização permeiam o processo de construção dos discursos que justificam a proposição das reformas previdenciárias. É também objetivo deste trabalho desvelar as ideologias presentes nos discursos. Os resultados apontam que os ideais capitalistas pautados pela lógica da financeirização e da austeridade aparecem na construção dos discursos das reformas, o que demonstra sua influência sobre a construção discursiva de seus autores, inferindo uma filiação das reformas a essas concepções hegemônicas. Conclui-se que a ADC é um importante meio para compreender os processos que envolvem as políticas públicas, desde sua formulação até sua avaliação.

Resumen El artículo busca esbozar un panorama en la construcción de discursos reformistas en el campo de la seguridad social brasileña después de la Constitución Federal de 1988. Con este fin, establece un análisis de las exposiciones de motivos adjuntas a las propuestas de enmiendas constitucionales y que justifican los proyectos sometidos al Parlamento brasileño. Sus supuestos teóricos y metodológicos son el análisis crítico del discurso (ADC), que busca responder en qué medida las concepciones de austeridad y financiarización impregnan el proceso de construcción de los discursos que justifican la proposición de las reformas de la seguridad social brasileña. También es el objetivo de este trabajo develar las ideologías presentes en los discursos. Los resultados indican que los ideales capitalistas guiados por la lógica de la financiarización y la austeridad aparecen en la construcción de los discursos de las reformas, lo que demuestra su influencia en la construcción discursiva de sus autores, infiriendo una afiliación de las reformas a estas concepciones hegemónicas. Se concluye que la ADC es un medio importante para comprender los procesos que involucran políticas públicas, desde su formulación hasta su evaluación.

Abstract This article seeks to outline a panorama in the construction of reformist discourses in the Brazilian social security field after the 1988 Federal Constitution, unveiling the ideologies present in such discourses. The study conducted an analysis of the explanatory statements that justify constitutional amendment proposals submitted to the Brazilian parliament. The theoretical and methodological method was critical discourse analysis (CDA), seeking to answer to what extent the conceptions of austerity and financialization permeate the process of construction of the discourses that justify the proposition of the Brazilian social security reforms. The results indicate that capitalist ideologies guided by the logic of financialization and austerity appear in the construction of the reformist discourses, which demonstrates their influence on the authors and suggests the affiliation of the reforms to these hegemonic conceptions. It is concluded that CDA is an important tool to understand the processes that involve public policies, from its formulation to its evaluation.