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Objective: To investigate the relationship between of distinct domains of childhood disadvantage and cognitive performance among older adults within the context of a middle-income country. Methods: This study used baseline data (2015/2016) from the Brazilian Longitudinal Study of Aging (ELSI), a nationally representative cohort of 9412 adults aged 50 and over. Nine childhood exposure variables were grouped into three domains (family SES, childhood health, and cultural capital), for which scores were created. Survey-weighted Ordinary Least Squares (OLS) regressions estimated the association childhood disadvantage with cognitive performance as measured by immediate memory, late memory and semantic verbal fluency. Mediation analysis assessed whether adulthood socioeconomic status (SES) mediated this relationship of interest. Results: Important disparities in cognitive performance were observed, particularly in terms of age, education, income, occupational status. Before controlling for adulthood SES in the multivariable analysis, all domains of childhood disadvantage were found to be associated with lower cognitive performance across all three measures. After inclusion of adulthood SES variables, the observed associations only remained for semantic verbal fluency. Formal mediation analysis indicated that adulthood SES mediates 47.9% (95% CI: 34.3%–78.6%) of the association between later-life verbal fluency and poor childhood health, and 49.9% (95% CI: 43.6%–57.8%) of the association between later-life verbal fluency and low childhood cultural capital. Conclusions: We found that childhood disadvantage is associated with low performance in memory tests and semantic verbal fluency tests among older Brazilians. Adulthood SES fully mediated the association between all domains of childhood disadvantage and memory performance and only partially mediated its association with verbal fluency. Our findings support policy efforts to enhance early childhood development and improve adulthood SES, and guide additional research to better the mechanisms driving these relationships.

Objectives. To assess the association between childhood hunger experiences and the prevalence of chronic diseases later in life. Methods. A cross-sectional study was conducted using baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), a nationally representative study of persons aged 50 years and older (n = 9 412). Univariate and bivariate analyses were used to describe the sample, and multivariate logistic regressions to examine the association between childhood hunger and hypertension, diabetes, arthritis and osteoporosis. Adjusted odds ratios and predicted probabilities were calculated. Results. 24.7% of Brazilians aged 50 and over experienced hunger during childhood. This harmful exposure was significantly more common among non-white people, individuals with lower educational attainment, lower household income and heavy manual laborers. Regional variation was also observed, as the prevalence of individuals reporting childhood hunger was higher in the North and Northeast regions. The multivariate analysis revealed that older adults who reported having experienced hunger during childhood had 20% higher odds of developing diabetes in adulthood (aOR = 1.20, 95% CI: 1.02 – 1.41) and 38% higher odds of developing osteoporosis (aOR = 1.38, 95% CI: 1.15 – 1.64) than adults who did not experience hunger during childhood, after controlling for covariates. Conclusions. The study showed an association between childhood hunger and two chronic diseases in later life: diabetes and osteoporosis. This work restates that investing in childhood conditions is a cost-effective way to have a healthy society and provides evidence on relationships that deserve further investigation to elucidate underlying mechanisms.

Abstract Background Healthcare spending has grown over the last decades in all developed countries. Making hard choices for investments in a rational, evidence-informed, systematic, transparent and legitimate manner constitutes an important objective. Yet, most scientific work in this area has focused on developing/improving prescriptive approaches for decision making and presenting case studies. The present work aimed to describe existing practices of priority setting and resource allocation (PSRA) within the context of publicly funded health care systems of high-income countries and inform areas for further improvement and research. Methods An online qualitative survey, developed from a theoretical framework, was administered with decision-makers and academics from 18 countries. 450 individuals were invited and 58 participated (13% of response rate). Results We found evidence that resource allocation is still largely carried out based on historical patterns and through ad hoc decisions, despite the widely held understanding that decisions should be based on multiple explicit criteria. Health technology assessment (HTA) was the tool most commonly indicated by respondents as a formal priority setting strategy. Several approaches were reported to have been used, with special emphasis on Program Budgeting and Marginal Analysis (PBMA), but limited evidence exists on their evaluation and routine use. Disinvestment frameworks are still very rare. There is increasing convergence on the use of multiple types of evidence to judge the value of investment options. Conclusions Efforts to establish formal and explicit processes and rationales for decision-making in priority setting and resource allocation have been still rare outside the HTA realm. Our work indicates the need of development/improvement of decision-making frameworks in PSRA that: 1) have well-defined steps; 2) are based on multiple criteria; 3) are capable of assessing the opportunity costs involved; 4) focus on achieving higher value and not just on adoption; 5) engage involved stakeholders and the general public; 6) make good use and appraisal of all evidence available; and 6) emphasize transparency, legitimacy, and fairness.

Objective: The purpose of this study was to review in a systematically way the studies that investigated the economic impact of clinical pharmacist services delivered to asthma individuals. Methods: A systematic survey was conducted in the PubMed, Scopus, Lilacs and Cochrane databases aiming to grade the economic evaluations published until January 2020. English, Spanish, Portuguese or French language articles were included if they evaluated a pharmaceutical intervention aiming asthma patients and also reported economic data about these interventions. There was no limitation regarding the study design or type of economic analysis. Two independent authors assessed and selected the studies, extracted the data, and measured risk of bias. Risk of bias was measured through the Cochrane’s risk of bias tool for randomized controlled trials and the Newcastle-Ottawa quality assessment scale for cohort studies. Results: 2,832 references were identified through the search strategy, but only seven studies met the inclusion criteria to be selected into the final analysis. Out of these seven articles, four consisted of cohort studies, and three consisted of randomized controlled trials. Instructional programs and patient counseling were the most usual components of pharmaceutical care interventions. Six articles showed statistically significant positive economic outcomes of pharmaceutical care interventions in asthma management. Moreover, pharmaceutical interventions were found to decrease hospitalizations, emergency visits, symptoms, and increase adherence to pharmacotherapy. Conclusions: Studies included showed acceptable and satisfactory cost-saving ratios, demonstrating the potential benefit of inserting the pharmacist into the multidisciplinary team. Nevertheless, long-term studies and randomized clinical trials are needed to establish solid evidence in order to expand the results found in this review to broader and different contexts.

Abstract Background Implementing adequate strategies to assess the value of health services plays a central role in the effort to deal with the financial pressures faced by health care systems worldwide. This study aimed to understand which approaches to value assessment have been used in developed countries. Methods We conducted a rapid review and a gray literature search to identify value assessment frameworks. A two-stage screening process was utilized to identify existing approaches and cluster similar frameworks. In addition, we developed an interpretive classification system to make sense of existing approaches. Results One thousand one hundred seventy-six references were identified and 38 papers were selected for full-review. Among these 38 articles, 22 distinct approaches to assess value of health care interventions were identified and classified according to four points: 1) use of single or multiple considerations to base value estimates; 2) use of disease-specific or generic criteria; 3) reliance on process-based or outcomes-based consideration; and 4) type of input and evidence considered. Conclusions The contextual nature of value assessment in health care becomes evident with the diversity of existing approaches. Despite the predominance of cases relying on the Incremental cost-effectiveness ratio as the measure of value, this approach has not been sufficient to meet the needs of decision-makers. The use of multiple criteria has become more and more important, as well as the consideration of patient-reported measures. Considerations of costs are not always explicit and consistent.

Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused over half a million deaths worldwide. Brazil has been particularly impacted, registering more than 1.3 million infections and 57,000 deaths by late June 2020. Aggregate numbers of cases are essential in modeling the epidemic and planning responses; however, more detailed analysis of risk factors associated with SARS-CoV-2 infection are needed. Our study provides an initial examination of characteristics associated with receiving a doctor’s diagnosis of COVID-19 among a nationally representative sample of Brazilians aged 50 and over. Data are derived from the second wave of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) and a telephone follow-up survey to ELSI-Brazil participants, known as the ELSI-COVID-19 initiative. The telephone survey was conducted between 26 May and 8 June 2020. Results show that about 2.4% (n = 70) of the sample reported being told by a doctor they had COVID-19, however, only about half of these individuals (n = 37) reported receiving a diagnostic confirmation from viral testing (RT-PCR). Demographic factors (aged 50-60 years), socioeconomic factors (lower household income), health-related factors (obesity, three or more chronic conditions), and geography (living in the Northern region of the country) were positively associated with reporting a COVID-19 diagnosis. Despite the descriptive and preliminary nature of these findings, results reported here suggest the need for more targeted approaches to enhance personal protection and provide greater viral testing options, especially for older, sicker and more vulnerable adults in Brazil.

The continent of the Americas has the greatest number of people infected and deaths associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the world. Brazil occupies the 2nd position in numbers of infected cases and deaths, preceded only by the United States. Older adults and those with pre-existing chronic illnesses are more vulnerable to the consequences of the virus. The SARS-CoV-2 epidemic has serious consequences for health services. Therefore, an assessment of the pandemic’s effect on the older Brazilian population is urgently needed. The study examines the prevalence of COVID-19 related symptoms, care-seeking, and cancellation of surgery or other scheduled medical care among a nationally representative sample of Brazilians aged 50 and over derived from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) and a telephone follow-up survey (the ELSI-COVID-19 initiative) between late May and early June 2020. About 10.4% of older adults reported any fever, dry cough or difficulty breathing in the 30 days prior to the interview, with the highest prevalence in the North region (50%). Among individuals with symptoms, only 33.6% sought care. Individuals living in the South or Southeast regions were significantly less likely to seek care for COVID-19 related symptoms. Nearly one in six participants had to cancel scheduled surgery or other medical care; this proportion was higher among women, those with more education, and people with multiple chronic conditions. This paper is among the first to investigate the effect of COVID-19 on health care use in Brazil among older adults. Results highlight the need to adapt health care delivery (such as through telemedicine) to ensure the continuity of care as well as the urgent need for wide dissemination of information to guide the population on disease prevention measures and how to obtain healthcare when needed.

International comparative studies constitute a highly valuable contribution to public policy research. Analysing different policy designs offers not only a mean of knowing the phenomenon itself but also gives us insightful clues on how to improve existing practices. Although much of the work carried out in this realm relies on quantitative appraisal of the data contained in international databases or collected from institutional websites, countless topics may simply not be studied using this type of methodological design due to, for instance, the lack of reliable databases, sparse or diffuse sources of information, etc. Here then we discuss the use of the qualitative descriptive approach as a methodological tool to obtain data on how policies are structured. We propose the use of online qualitative surveys with key stakeholders from each relevant national context in order to retrieve the fundamental pieces of information on how a certain public policy is addressed there. Starting from Sandelowski’s seminal paper on qualitative descriptive studies, we conduct a theoretical reflection on the current methodological proposition. We argue that a researcher engaged in this endeavour acts like a composite-sketch artist collecting pieces of information from witnesses in order to draw a valid depiction of reality. Furthermore, we discuss the most relevant aspects involving sampling, data collection and data analysis in this context. Overall, this methodological design has a great potential for allowing researchers to expand the international analysis of public policies to topics hitherto little appraised from this perspective.

Abstract Background Active management of existing health technologies (e.g., devices, diagnostic, and/or medical procedures) to ensure the delivery of high value care is increasingly recognized around the world. A number of initiatives have raised awareness of technologies that may be overused, mis-used, or potentially harmful by compiling them into lists of low value care. However, despite the growing number of lists, changes to local healthcare practices remain challenging for many systems. The objective of this study was to develop and implement a process, leveraging existing initiatives and data assets, to produce a list of prioritized low value technologies for health technology reassessment (HTR). Methods An expert advisory committee comprised of clinical experts and health system decision-makers was convened to determine key process requirements. Once developed, the process was piloted to assess feasibility in the Canadian province of British Columbia (BC). Results The expert advisory committee identified five required attributes for the process: data-driven, routine and replicable, actionable, stakeholder collaboration, and high return on investment. Guided by these attributes, a 5-step process was developed. First, over 1300 published low value technologies (i.e., from the National Institute for Health and Care Excellence [NICE] “do not do” recommendations, low value technologies in the Australian Medical Benefits Schedule, and Choosing Wisely “Top 5” lists) were identified. Using appropriate coding systems for BC’s administrative health data (e.g., International Classification of Diseases [ICD]), the low value technologies were queried to examine frequencies and costs of technology use. This information was used to rank potential candidates for reassessment based on high annual budgetary impact. Lastly, clinical experts reviewed the ranked technologies prior to broad dissemination and stakeholder action. Pilot testing of the process in BC resulted in the prioritization of 9 initial candidate technologies for reassessment. Conclusions This is the first account of a systematic approach to move a collective body of low value technology recommendations into action in a healthcare setting. This work demonstrates the feasibility and strength of using administrative data to identify and prioritize low value technologies for HTR at a population-level.

In dealing with scarcity of resources within healthcare systems, decision-makers inevitably have to make choices about which services to fund. Setting priorities represents a challenging task that requires systematic, explicit and transparent methodologies with focus on economic efficiency. In addition, the engagement of the general public in the process of decision-making has been regarded as one of the most important aspects of the management of publicly-funded health systems in liberal democracies. In the current essay, we aim to discuss the problematics of public engagement in the process of resource allocation and priority-setting within the context of publiclyfunded health systems. Our central argument is that although there may be a conflict between democratic mechanisms of citizen participation and economic efficiency, in the extra-welfarist sense, expected for/from the system, the solution for this tension does not seem to rely on more or novel authoritative technocratic approaches, but rather on the deepening and betterment of democratic participation.