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.

[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.

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.

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.

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.

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.

[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.

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.

Predictors of time until return to work and duration of sickness absence in sick-listed precarious workers with common mental disorders: a secondary data-analysis of two trials and one cohort study.

BACKGROUND: Common mental disorders (CMD) are highly prevalent among sick-listed precarious workers and often lead to long-term sickness-absence, work disability and unemployment. This study aimed to identify predictors of a longer time until return to work (RTW) and prolonged duration of sickness absence in sick-listed precarious workers with CMD. METHODS: We conducted a secondary Cox regression analysis using existing data from two Dutch randomized controlled trials and one cohort study among sick-listed precarious workers with CMD (N = 681). Age, gender, baseline employment status, study allocation, severity of psychological symptoms and RTW self-efficacy were evaluated for their predictive value on time until sustainable (≥ 28 days) RTW and duration of sickness absence during 12-month follow-up. In this study, time until sustainable RTW and duration of sickness absence are distinct dependent variables, because they are not mutually exclusive. RESULTS: Age above 50 years (HR 0.57, 95% CI 0.39-0.82), severe psychological symptoms (HR 0.64, 95% CI 0.43-0.93), unemployment (HR 0.19 95% CI 0.11-0.33) and loss of employment contract during sickness absence (HR 0.25, 95% CI 0.14-0.47) were predictive of a longer time until RTW. Male gender (HR 0.77, 95% CI 0.62-0.97), severe psychological symptoms (HR 0.64, 95% CI 0.46-0.87), unemployment (HR 0.47, 95% CI 0.27-0.84) and loss of employment contract (HR 0.48, 95% CI 0.26-0.90) predicted a prolonged duration of sickness absence. CONCLUSIONS: Unemployment at the moment of sick-listing, loss of employment contract during sickness absence, and severe psychological symptoms are predictors of both a longer time until RTW and prolonged duration of sickness absence among sick-listed precarious workers with CMD. This knowledge assists occupational health and mental health professionals in the early identification of workers at risk of long-term sickness absence, enabling them to arrange targeted occupational rehabilitation support and mental health care. TRIAL REGISTRATION: The included randomized controlled trials were prospectively registered in the Dutch national trial register under NTR4190 (September 27, 2013) and NTR3563 (August 7, 2012).

Determinantes de la gestión del riesgo en salud en el Régimen Subsidiado en Colombia: estudio cualitativo

Introducción: El Régimen Subsidiado (RS) del sistema de salud colombiano tiene problemáticas estructurales que no han sido solucionadas y son pocos los estudios que profundizan en la explicación de estas. Objetivo: Explorar la experiencia en la dirección estratégica y gestión operativa y financiera de este régimen, sus aspectos operativos y de gestión del riesgo en esta población, así como las diferencias percibidas frente al Régimen Contributivo. Metodología: Estudio cualitativo. Se utilizó el análisis del discurso desde la perspectiva sociohermenéutica como técnica analítica. Se entrevistaron diez participantes, entre directivos de aseguradoras del RS y gestores del sistema de salud. Las entrevistas fueron grabadas y anonimizadas, previo consentimiento informado. Resultados: Emergen tres patrones discursivos que explican la gestión del riesgo en el RS y su diferenciación con el contributivo. Estos patrones se conectan por medio del rol de los determinantes sociales de la salud como ordenador principal de los procesos de salud-enfermedad y de atención en este régimen. A su vez, estas condiciones de vida son las que determinan de manera importante el perfil epidemiológico, acceso, costo de la atención y en general la forma cómo se consumen los servicios de salud por la población afiliada. Discusión: La literatura del aseguramiento en salud reporta que la gestión del riesgo es una función central y supone un ejercicio estratégico para el adecuado manejo de la siniestralidad para optimizar el uso de la Unidad de Pago por Capitación (UPC) asignada. Los hallazgos muestran que los determinantes sociales de la salud no están siendo tenidos en cuenta como ordenador para la atención, por lo tanto, la gestión del riesgo se centra en la atención de patologías en estados avanzados. Conclusiones: los actores perciben que en general, la situación de salud de los afiliados en este régimen es más grave, más complicada y con mayor carga, lo cual genera una tensión en materia de suficiencia de la unidad per cápita. Existe una ausencia discursiva sobre el rol del modelo de atención y su correlación con las necesidades de esta población.

Introduction: The subsidized regime (SR) of the Colombian health system has structural problems that have not yet been resolved and there is a lack of studies that allow the understanding of most of them. The aim of this study was to explore with stakeholders of the subsidized regime the experience about strategic, financial, and health risk management and the differences perceived with the contributory regime. Methods: A qualitative study was performed; the analytic technique used was the discourse analysis under socio-hermeneutic perspective. 10 participants were interviewed, among them directors of insurance companies of SR and health care system managers. The interviews were recorded, prior informed consent, and analyzed according to the discourse analysis. Finding: Three discursive patterns emerged that explain risk management in SR and its differentiation from contributory regime. These patterns are connected through the role of the social determinants of health as the main axis that explain the health-disease and care processes in this regimen. At the same time, these living conditions are what determine the epidemiological profile, access, cost of care and, in general, the way in which health services are consumed by the affiliated population. Discussion: The health insurance literature reports that risk management is a central function, and it is a strategic exercise for the proper management of claims to optimize the use of resources, however, the findings show that the social determinants of health are not being taken into account as a key element for healthcare organization, therefore, risk management focuses on care for pathologies in advanced stages. Conclusions: The actors perceive that the health situation in this regime is more severe, more complicated and with a greater burden disease, which generates a tension in terms of sufficiency of the Per Capita Unit. There is a discursive absence on the role of the care model and its correlation with the needs of this population.

Disability Certification for Parkinson's Disease in India: Challenges and the Way Forward.

Disability certification is mandatory for people with Parkinson's disease to avail any schemes and benefits in India. The process of certification of the extent of disability in a complex disorder like Parkinson's needs to be made less cumbersome and streamlined to ensure that people for whom the benefits are meant are able to avail them.

The economic impact of stroke in Brazil, 2010-2019: Increase in public expenses of Unified Health System.

OBJECTIVES: To economically analyze the impact that outpatient and inpatient spending of the Unified Health System and social security expenses of the General Regime of Social Security generated to the Brazilian public system, between 2010 and 2019. MATERIALS AND METHODS: Observational research, in which public data from the SUS Department of Informatics and the Social Security Historical Database were used, according to 10ª International Classification of Diseases code, I-64 (Stroke, not specified if hemorrhagic or ischemic). The Kruskal-Wallis test, complemented by Dunn's post-hoc test, and Spearman's bivariate correlation test were used to check for differences and correlations between variables. The expenditures were adjusted for inflation for the year 2019 and presented in american dollar s(U$). RESULTS: Stroke public spending impacted an average of 120 million dollars per year and increased 15% during the historical series. Eighty-nine percent of these expenditures originated from hospital spending (p<0.05). On average, stroke accounted for 7.3% of spending on cardiovascular diseases and 0.72% of spending on the other codes of 10ª International Classification of Diseases. Total spending showed a positive correlation with the historical series (r=.702; p<0.05), with the increase in the elderly population (over 60 years of age) (r=.676; p<0.05) and with Gross Domestic Product per capita (r=.784; p<0,05). CONCLUSIONS: The impact that stroke generated on public spending increased over the historical series, mainly due to hospital spending and by the prospect of increasing elderly population in Brazil, public spending tends to rise.

Is there a sexual difference in the relationship between sociodemographic information and the unmet dental care needs of disabled adults? An analysis from a national survey on persons with disabilities.

BACKGROUND: Health status and health care utilization in people with disabilities are more likely to be poorer than those without disabilities. Previous studies showed that there were gaps in health-related conditions by sociodemographic information and gender but the association between these factors was not explained. This study aims to analyze the relationship between sociodemographic information and the unmet dental care needs of people with disabilities and explore the effect of sex within this relationship. METHODS: The 2014 national survey on persons with disabilities was used, which separated unmet healthcare needs into medical and dental services. Unweighted samples included 6,824 people with disabilities in total and 6,555 (96.1% of the total, weighted as 6,583) people aged 20 years or older were selected as the study population. Frequency and chi-square tests were conducted to determine differences in the prevalence of unmet dental needs based on socioeconomic information, chronic diseases, and behavioral factors after applying weights. Logistic regressions were performed using an adjusted model with sociodemographic information, chronic diseases, and behavioral variables. All analyses were performed using IBM SPSS Statistics for Windows, version 26 (IBM Corp., Armonk, N.Y., USA). RESULTS: Analysis of the sociodemographic factors related to unmet dental care revealed that they were higher in women and the elderly. In the fully adjusted logistic model, most of the sociodemographic information was significantly associated with unmet dental needs. The lowest group was 4.18 times more likely to have unmet dental care needs than the richest group, and females and middle-school graduates were almost twice as likely to experience unmet dental care needs than males and university graduates. Considering the interaction effect of age on unmet dental needs depending on sex differences, the odds ratio decreased for females with every annual increase in both models. Compared with the younger group, the older group showed a lower risk of having unmet dental needs, especially in females. CONCLUSIONS: The factor most closely related to the unmet dental care needs of disabled people was socioeconomic problems. Its influence also differed by sex and age. Therefore, economic support measures and sexual differences are needed for long-term policy consideration to reduce the unmet dental care needs of disabled people.

Loss ratio of the capitation payment unit of the health-promoting entities in Colombia between 2017 and 2021: a financial-actuarial approach.

BACKGROUND: Because of a change of government, the Colombian Ministry of Health and Social Protection is in the process of presenting a structural reform for the General System of Social Security in Health (GSSSH), in order to implement a 'preventive and predictive health model'. However, it will always be relevant to review and analyze the fiscal implications of any proposed public policy program, to protect financial sustainability and to promote the better functioning of the system in question. METHODS: To contribute to this topic, we have calculated, using a financial-actuarial approach, the loss ratio for the years 2017 to 2021 for the Capitation Payment Unit (CPU) for all the Health-Promoting Entities (HPE) for both contributory and subsidized schemes. This information, derived from public reports available on the official website of the National Health Superintendency, allows us to estimate the financial burden of the institutions that guarantee access to and provision of health services and technologies in Colombia. RESULTS: The study shows that close to half of the HPEs in Colombia (which represent 11.6 million affiliates) have CPU loss ratios of more than 100% for the year 2021, evidencing insufficient resources for the operation of health insurance. CONCLUSIONS: Finally, we propose some policy recommendations regarding the strengthening of informed decision-making to allow the healthy financial sustainability of the Colombian GSSSH.

Course and predictors of social security disability insurance in patients with borderline personality disorder over 24 years of prospective follow-up.

BACKGROUND: The utilization of Social Security Disability Insurance (SSDI) is frequent in patients with borderline personality disorder (BPD) and may represent a meaningful marker of a patient's symptom severity, poor psychosocial functioning, and/or inner suffering. Over 24 years of prospective follow-up, the present study aims to describe the course of SSDI and assess the role of clinically relevant predictors. METHODS: A total of 290 inpatients with BPD were interviewed at baseline and 12 consecutive follow-up waves, each separated by two years, after index hospitalization. Included were also 72 inpatients with other personality disorders. Surviving patients were reinterviewed. A series of interviews and self-report measures were used to assess psychosocial functioning and treatment history, axis I and II disorders, and childhood/adult adversity. RESULTS: Results show that rates of SSDI utilization were relatively stable over 24 years of follow-up (on average, 47.2% of the patients with BPD were on SSDI). Patients with BPD were three times more likely to be on SSDI than patients with other PDs. Patients with BPD displayed flexibility in their usage of SSDI. By 24 years, 46% of patients remitted, out of which 85% experienced recurrence and 50% of the patients had a new onset over time. In multivariate analyses, four variables were found to predict SSDI status in patients with BPD over time. These variables were: age 26 or older, lower IQ, severity of non-sexual childhood abuse, and presence of PTSD. CONCLUSIONS: The results of this study suggest that a combination of a demographic factors, childhood adversity, natural endowment, and comorbidity are significant predictors of receiving SSDI over time. On a group level, there is a relative stability of SSDI usage over time, but on the individual level, the present study found a high fluctuation in receiving SSDI over 24 months of prospective follow-up.

Spatial variation in livelihood security among livestock-based agricultural farming systems in climatically vulnerable Indian Sundarbans.

Farm households in the UNESCO World Heritage site Sundarbans face serious problems, including increased soil salinity, frequent extreme weather events, seawater intrusion and flood damage, all of which cause distress to the livelihoods of the farm families. Policymakers commonly acknowledge livestock as a crucial resource for mitigating economic losses caused by crop failures due to extreme weather events. Despite Sundarbans' vulnerability to extreme weather events, smallholder farmers' livelihoods vary across the region. Identifying spatial livelihood variations aids in targeted strategies to address climate extremes. We chose the highest cow- and buffalo-populated blocks among the 19 blocks in the Sundarbans to assess variations in livelihood dimensions, including nutritional, economic, social and infrastructural security. We used dummy variable regression models to examine the differences in livelihood security dimensions among households living in different locations. The study found that Namkhana had the highest livelihood security score among the blocks studied, while Gosaba had the lowest score because it's in a remote area with limited infrastructure. The study found a significant difference in the overall livelihood security score among the blocks we examined, indicating the need for a location-specific, cluster-based approach for the overall development of the Sundarbans. The study can shape a policy framework for socio-economic development in the Indian Sundarbans through its findings on location-specific livelihood security. For securing smallholder farmers' livelihoods in the vulnerable Sundarbans region, policymakers must give priority to improving infrastructure, viz., roads, marketing facilities and animal healthcare centers.

Disability benefits protect against lost income for South Africans living with Schizophrenia.

Little is known about the economic impact of disability grants for people living with schizophrenia in low- and middle- income countries. In this brief report, we show that receipt of disability benefits is significantly associated (ß = 0.105, p < 0.0001) with increased household and personal wealth in large sample of people living with schizophrenia in South Africa (n = 1154). This study provides further support for the use of disability grants as a mechanism to protect people living with schizophrenia and their families against the economic costs associated with schizophrenia.