[Hierarchical modeling of determinants associated with hospitalizations for ambulatory care sensitive conditions in Espírito Santo State, Brazil]

Hospitalizations in Brazil according to National Health Survey estimates, 2013 and 2019

OBJECTIVE

To compare the profile and prevalence of hospitalizations in Brazil based on estimates from the National Health Survey (PNS), 2013 and 2019.

METHODS

A cross-sectional study that used data from the 2013 PNS and the 2019 PNS. The outcome was having been hospitalized for 24 hours or more in the last 12 months. We calculated the proportion of the population in different categories of age group, presence or absence of chronic diseases, and perception of health status. We estimated the total number of hospitalizations and the proportion corresponding to each category of age group, chronic disease, and perceived health status. We calculated the prevalence of hospitalization according to geographic, socioeconomic, and health conditions. We compared the estimates of two editions of the PNS using Student's t-test for independent samples. We considered significant differences when the p-value was less than 0.01. And finally, we compared hospitalization estimates with administrative data to assess data consistency.

RESULTS

We observed that the proportion of chronically ill people in the population increased from 15.04% to 31.48%. This group was responsible for 36.76% of the total number of hospitalizations in 2013 and 57.61% in 2019. The prevalence of hospitalizations increased significantly between the two surveys and the increases were higher in the Southeast region and among people who have private health insurance. A discrepancy was found between administrative data and survey estimates. Obstetric hospitalizations and health insurance hospitalizations were underestimated.

CONCLUSION

There was an increase in overall hospitalization rates in the period between the PNS 2013 and PNS 2019, especially among people with better access to health services. The hospitalization profile also changed-in the 2013 PNS, hospitalizations of people without chronic diseases predominated. This was reversed in PNS 2019.

Impact of the Health Gym Program on hospital admissions for stroke in the state of Pernambuco, Brazil

This study aimed to evaluate the impact of the Health Gym Program (HGP) on hospital admissions for stroke in the state of Pernambuco, Brazil. This policy impact evaluation used a quasi-experimental approach consisting of a difference-in-differences estimator, weighted by propensity score matching to deal with potential confounding variables. The study comprised socioeconomic, demographic, and epidemiological data from official Brazilian databases from 2010 to 2019. The treatment group was composed of the 134 municipalities that implemented the HGP since 2011. The 51 municipalities that did not were allocated to the comparison group. The nearest neighbor algorithm (N5) was used to pair treatment and comparison group municipalities and create the weights to evaluate the average treatment effect on the treated (ATT) in the difference-in-differences estimator. In 2010, 2,771 people were hospitalized for stroke (0.51% of all hospitalizations) and in 2019, 11,542 (2%). Municipalities that implemented the HGP had 18.37% fewer hospitalizations than their counterparts in the comparison group. The program's impact in reducing hospitalization rates was incrementally greater among men (ATT: -0.1932) and those aged 71 to 80 years (ATT: -0.1911). All results were statistically significant at the 5% level. The HGP reduced hospitalization for stroke in several population groups, but primarily in those whose underlying prevalence of stroke is highest, reinforcing the importance of public investments in health promotion policies designed to encourage lifestyle changes.

Health Promotion Programs Can Mitigate Public Spending on Hospitalizations for Stroke: An Econometric Analysis of the Health Gym Program in the State of Pernambuco, Brazil

Health promotion programs can reduce morbidity and mortality from chronic diseases, as well as public spending on health. The current study aims to evaluate the effects of the Health Gym Program on expenditures on hospitalizations for stroke in the state of Pernambuco, Brazil. This public policy impact assessment used an econometric model that combines the difference-in-difference estimator with propensity score matching. Data referring to the health, demographic, and socioeconomic characteristics of the 185 municipalities in Pernambuco were collected for the period from 2007 to 2019. Validation tests were carried out of the empirical strategy, the estimation of models with fixed effects for multiple periods and validation post-tests, and robustness of the results. In total, US$ 52,141,798.71 was spent on hospitalizations for stroke, corresponding to 4.42% of the expenses on hospitalizations for all causes over the period studied. Municipalities that implemented the Health Gym Program spent 17.85% less on hospitalizations for stroke than municipalities that did not. The findings of this study indicate that the Health Gym Program was effective in reducing expenses with hospitalizations for stroke and that its implementation has the potential to reduce expenses related to rehabilitation, sick leave, and early retirement.

Urban Scaling of Health Outcomes: a Scoping Review

Urban scaling is a framework that describes how city-level characteristics scale with variations in city size. This scoping review mapped the existing evidence on the urban scaling of health outcomes to identify gaps and inform future research. Using a structured search strategy, we identified and reviewed a total of 102 studies, a majority set in high-income countries using diverse city definitions. We found several historical studies that examined the dynamic relationships between city size and mortality occurring during the nineteenth and early twentieth centuries. In more recent years, we documented heterogeneity in the relation between city size and health. Measles and influenza are influenced by city size in conjunction with other factors like geographic proximity, while STIs, HIV, and dengue tend to occur more frequently in larger cities. NCDs showed a heterogeneous pattern that depends on the specific outcome and context. Homicides and other crimes are more common in larger cities, suicides are more common in smaller cities, and traffic-related injuries show a less clear pattern that differs by context and type of injury. Future research should aim to understand the consequences of urban growth on health outcomes in low- and middle-income countries, capitalize on longitudinal designs, systematically adjust for covariates, and examine the implications of using different city definitions.

Spatial Analysis of Factors Associated with Hospitalizations for Ambulatory Care Sensitive Conditions among Old Adults in Minas Gerais State

AIM

To investigate the geographical variability and factors associated with hospitalizations for ambulatory care sensitive conditions (ACSC) among older adults living in the state of Minas Gerais.

METHODOLOGY

This is an ecological study, based on data from the National Hospital Information System (SIH-SUS). Municipal rates of hospitalization for ACSC were compared to the state's average rate, and analysis of associated factors included sociodemographic characteristics, supply of health services and primary health care (PHC) activities. Data analysis was based on Bayesian spatial modeling.

RESULTS

Most municipalities in Minas Gerais (479 or 56.2%) had a rate of hospitalization for ACSC below the state average. After multivariate analysis, income (β = -0,0008; 95%CI: -0.0014 - -0,0002) and the Family Health Strategy coverage (β = -0.4269; 95%CI: -0.7988 - -0.1116) were negatively associated with the risk of hospitalization for ACSC, while the availability of hospital beds (β = 0.0271; 95%CI 0.0211 - 0.0331) was positively associated. The characteristics of PHC did not show any association with the rate of hospitalization for ACSC.

CONCLUSION

the rates of hospitalization for ACSC in the elderly population were influenced by the PHC coverage, but also by external factors such as income and structure and provision of health services, indicating that the meeting of population health demands passes through actions that go beyond the health sector, including investment in the reduction of poverty and inequality and expansion of access to PHC.

Impact of COAP on access to primary care in Ceará and Mato Grosso do Sul through the analysis of interrupted time series

OBJECTIVE

To analyze the impact of implementing the Contrato Organizativo de Ação Pública (COAP - Public Action Organizational Contract) on the expansion of access to primary care in the states of Ceará and Mato Grosso do Sul.

METHODS

We used the interrupted time series method to analyze the effect of COAP on primary care coverage (PCCov) and on avoidable hospitalization rates. To analyze the effects of increased PCCov on avoidable hospitalizations, we used non-segmented time series models.

RESULTS

The results showed that implementing COAP had a positive impact on increased coverage in both cases, with did not happen in the control states. However, this impact was not reflected in the decrease in hospitalizations due to primary care sensitive conditions (HPCSC) or for acute preventable causes. When we analyzed the effects of the increase in PCCov on avoidable hospitalizations between 2009 and 2016, we observed that coverage had a positive impact on the decrease in the rate of HPCSC only in Ceará, although hospitalizations have a significant trend to decrease in time both in this state and in Mato Grosso do Sul, except for acute respiratory infections.

CONCLUSIONS

The COAP continues to be the regulatory instrument of regionalization force, however, the results obtained by adhering to it in the expansion of primary care in Ceará and Mato Grosso do Sul makes us question whether the contractual model, as predicted, is the best instrument for advancing regionalization in the Brazilian Unified Health System.

[The impact of primary healthcare and the reduction of primary health care-sensitive hospital admissions]

This study aimed to analyze the association between quality of primary healthcare (PHC) in Brazilian municipalities (counties) and the number of hospitalizations due to primary healthcare-sensitive conditions. This was an ecological study with analysis of nationwide secondary data. The quality of the number of hospitalizations due to primary healthcare-sensitive conditions was based on assessment of the National Program for Improvement of Access and Quality of Basic Care (PMAQ-AB). The analysis used a hierarchical explanatory model, with the number of the number of hospitalizations due to primary healthcare-sensitive conditions hospitalizations in the year 2014 as the dependent variable and sociodemographic and health system data as the independent variables. The measure of association between the number of hospitalizations and quality of PHC was calculated with negative binomial regression with robust variance and the total population as offset, with significance set at 20% in the univariate analysis and 5% in the multivariate analysis. The mean number of hospitalizations due to primary healthcare-sensitive conditions admissions during the target period was 359.97 hospitalizations per municipality. The quality of PHC showed a negative association with the number of hospitalizations due to primary healthcare-sensitive conditions admissions. Municipalities with lower quality of PHC (quartile 1) showed 21.2% more number of hospitalizations due to primary healthcare-sensitive conditions admissions than municipalities with higher quality (95%CI: 1.09-1.34). The results showed that quality of PHC in Brazil reduced hospitalizations due to primary healthcare-sensitive conditions, even in contexts of social vulnerability.

Accessibility and care pathways for children admitted to hospital for ambulatory care sensitive conditions

The aim of this study was to analyze health service accessibility and the care pathways of children admitted to hospital for ambulatory care sensitive conditions (ACSCs). A cross-sectional study was conducted of a random sample of children hospitalized over a period of one year in a town in the north of Minas Gerais, Brazil. The Primary Care Assessment Tool Child Edition, adapted and validated for use in Brazil (PCAT-CE), was used to assess accessibility and interviews were conducted with the children's carers to determine the pathway taken to hospitalization. Of the 376 pediatric hospitalizations assessed, 109 (28.9%) were classified as ACSC admissions. Health service accessibility and utilization scores were low for both the ACSC and non-ACSC groups. No statistically significant differences (p<0.05) were found between the two groups. The care pathways reveal that most families visited hospitals as the first service and that visits to other health services were frequent. Well over half (63.3%) of the families of children admitted for ACSCs did not seek primary health services at any time. Accessibility was poor among the study group, regardless of the reason that led to hospitalization. The care pathways reveal an irregular pattern of service utilization for children admitted for ACSCs, suggesting a fragile health care network.

Characteristics of primary care and rates of pediatric hospitalizations in Brazil

OBJECTIVE

To evaluate the association among characteristics of primary health care center (PHCC) with hospitalizations for primary care sensitive conditions (PCSC) in Brazil.

METHOD

In this study, a cross-sectional ecological study was performed. This study analyzed the 27 capitals of Brazil's federative units. Data were aggregated from the following open access databases: National Program for Access and Quality Improvement in Primary Care, the Hospital Information System of Brazilian Unified Health System and Annual Population Census conducted by the Brazilian Institute of Geography and Statistics. Associations were estimated among characteristics of primary care with the number of three PCSC as the leading causes of hospitalization in children under-5 population in Brazil: asthma, diarrhea, and pneumonia.

RESULTS

In general, PHCC showed limited structural adequacy (37.3%) for pediatric care in Brazil. The capitals in South and Southeast regions had the best structure whereas the North and Northeast had the worst. Fewer PCSC hospitalizations were significantly associated with PHCC which presented appropriate equipment (RR: 0.98; 95%CI: 0.97-0.99), structural conditions (RR: 0.98; 95%CI: 0.97-0.99), and signage/identification of professionals and facilities (RR: 0.98; 95%CI: 0.97-0.99). Higher PCSC hospitalizations were significantly associated with PHCC with more physicians (RR: 1.23, 95%CI: 1.02-1.48), it forms (RR: 1.01, 95%CI: 1.01-1.02), and more medications (RR: 1.02, 95%CI: 1.01-1.03).

CONCLUSION

Infrastructural adequacy of PHCC was associated with less PCSC hospitalizations, while availability medical professional and medications were associated with higher PCSC hospitalizations.

[Ethnic and racial inequalities in hospital admissions due to avoidable causes in under-five Brazilian children, 2009-2014]

There has been a global increase in hospital admissions for primary care-sensitive conditions (PCSCs) as an indicator of effectiveness in primary health care. This article analyzes ethnic and racial inequalities in cause-related hospitalizations in under-five children in Brazil as a whole and the country's five major geographic regions, with an emphasis on PCSCs and acute respiratory infections (ARIs). Using data from the Hospital Information Systems of the Brazilian Unified National Health System (SIH/SUS), 2009-2014, the authors calculated proportions, rates, and rate ratios for PCSCs, adjusted by sex and age after multiple imputation of missing data on color/race. The principal causes of hospitalization were respiratory tract infections (37.4%) and infectious and parasitic diseases (19.3%), and indigenous children were proportionally the most affected. Crude PCSC rates (per 1,000) were highest in indigenous children (97.3; 95%CI: 95.3-99.2), followed by brown or mixed-raced children (40.0; 95%CI: 39.8-40.1), while the lowest rates were in Asiandescendant children (14.8; 95%CI: 14.1-15.5). The highest adjusted rate ratios for PCSCs were seen among indigenous children compared to white children - 5.7 (95%CI: 3.9-8.4) for Brazil as a whole, reaching 5.9 (95%CI: 5.0-7.1) and 18.5 (95%CI: 16.5-20.7) in the North and Central, respectively, compared to white children. ARIs remained as important causes of pediatric hospitalizations in Brazil. Alarming ethnic and racial inequalities were observed in PCSCs, with indigenous children at a disadvantage. Improvements are needed in living conditions, sanitation, and subsistence, as well as guaranteed timely access to high-quality primary health care in the more vulnerable population groups, especially the indigenous peoples of the North and Central, in order to mitigate the health inequalities and meet the guidelines of the SUS and the Brazilian Constitution.

Ambulatory care sensitive hospitalizations after implementation of the master plan in Minas Gerais

OBJECTIVE

To describe the rate of ambulatory care sensitive hospitalizations in groups of cities according to population size and to analyze its association with the coverage of the Family Health Strategy after the implementation of the Master Plan for Primary Health Care in Minas Gerais, Brazil.

METHODS

This is an ecological study with 452 cities grouped according to population size, with data from 2004 to 2007 and 2010 to 2013. We used the Kolmogorov-Smirnov test to verify the distribution of the data in the groups. We used the Wilcoxon test for paired data or the paired Student's t-test to compare the rate of ambulatory care sensitive hospitalizations before and after the Master Plan for Primary Health Care. We used the simple linear regression test to analyze the association between variables. We performed statistical analyses using the Statistical Package for the Social Sciences, with a significance level of 5%.

RESULTS

The rate of ambulatory care sensitive hospitalizations decreased significantly after the Master Plan for Primary Health Care in the large and mid-sized groups (p < 0.05). There were positive correlations between coverage with Family Health Strategy and the rate of ambulatory care sensitive hospitalizations in the mid-sized and large groups (p < 0.05).

CONCLUSIONS

Actions were carried out to implement the Master Plan for Primary Health Care. However, more investments are needed to improve the effectiveness of the Primary Health Care, with permanent confrontation of complex issues that affect the quality of services, which can lead to a significant reduction of the rates of ambulatory care sensitive hospitalizations.

Intra-urban differences in rates of admissions for ambulatory care sensitive conditions in Brazil's Center-West region

Admissions for ambulatory care sensitive conditions (ACSCs) represent a useful indicator of assess to and the effectiveness of primary health care. This article examined rates of admissions for ACSCs and the main causes of admissions in intra-urban areas of the municipality of Goiânia, capital of the State of Goiás. An ecological study was conducted to determine rates of admissions in Goiânia's seven health districts between 2008 and 2013 using data from Hospital Admission Authorization forms obtained from the municipality's Hospital Information System. Admissions were georeferenced throughout the seven health districts. Age-adjusted rates of admissions for ACSCs were calculated and the most common causes of admissions were identified for each age group. A 95% confidence interval was calculated as a measure of precision of the rates. The average overall rate of admissions for ACSCs was 155.5 per 10,000 population. Rates were highest in the Southern District and lowest in the Southwest District. Rates were highest in the youngest and oldest age groups. The Northwest District showed the highest rates in nine groups of causes, notably chronic non-communicable diseases among adults. Our findings showed that there are major differences in rates across health districts, pointing to shortfalls in primary health coverage, quality problems and an inadequate care model in districts with high coverage.

Panorama das internações por condições sensíveis à atenção primária no Espírito Santo, Brasil, 2000 a 2014

Objetivo: Descrever a série temporal das internações por condições sensíveis à atenção primária (ICSAP) no estado do Espírito Santo, no período de 2000 a 2014, segundo sexo, faixa etária, porte municipal, macrorregiões e grupos de causa, e investigar os fatores associados à ocorrência dessas hospitalizações. Métodos: Estudo ecológico de série temporal das ICSAP ocorridas de 2000 a 2014. A análise da série temporal foi realizada pelo método Cochrane-Orcutt, e para a análise de regressão multivariável multinível usou-se o modelo de regressão binomial negativa. Resultados: As ICSAP diminuíram 28,79% no período. As maiores taxas foram observadas entre os idosos e as crianças menores de cinco anos, e reduziram mais entre idosos e adultos. Os principais grupos de causas foram as gastroenterites infecciosas e complicações, a infecção no rim e trato urinário, e a insuficiência cardíaca. Houve redução das taxas de ICSAP na medida em que cresceu a taxa de cobertura da estratégia saúde da família (0,60, IC: 0,56-0,66), a proporção de médicos (0,90, IC: 0,84-0,96), de pretos e pardos (0,88, IC: 0,83-0,93) e de pessoas com ensino médio (0,87, IC: 0,76-0,99), enquanto houve acréscimo dessas hospitalizações a cada aumento do produto interno bruto per capita, do índice de Gini, da taxa de urbanização, dos leitos hospitalares e dos planos de saúde. Conclusão: A expansão e consolidação da estratégia saúde da família são importantes para a redução das ICSAP no estado dentre outros fatores, como recursos de saúde e fatores socioeconômicos.

The impact of the Brazilian family health strategy on selected primary care sensitive conditions: A systematic review

Background

Brazil has the largest public health-system in the world, with 120 million people covered by its free primary care services. The Family Health Strategy (FHS) is the main primary care model, but there is no consensus on its impact on health outcomes. We systematically reviewed published evidence regarding the impact of the Brazilian FHS on selective primary care sensitive conditions (PCSC).

Methods

We searched Medline, Web of Science and Lilacs in May 2016 using key words in Portuguese and English, without language restriction. We included studies if intervention was the FHS; comparison was either different levels of FHS coverage or other primary health care service models; outcomes were the selected PCSC; and results were adjusted for relevant sanitary and socioeconomic variables, including the national conditional cash transfer program (Bolsa Familia). Due to differences in methods and outcomes reported, pooling of results was not possible.

Results

Of 1831 records found, 31 met our inclusion criteria. Of these, 25 were ecological studies. Twenty-one employed longitudinal quasi-experimental methods, 27 compared different levels the FHS coverage, whilst four compared the FHS versus other models of primary care. Fourteen studies found an association between higher FHS coverage and lower post-neonatal and child mortality. When the effect of Bolsa Familia was accounted for, the effect of the FHS on child mortality was greater. In 13 studies about hospitalizations due to PCSC, no clear pattern of association was found. In four studies, there was no effect on child and elderly vaccination or low-birth weight. No included studies addressed breast-feeding, dengue, HIV/AIDS and other neglected infectious diseases.

Conclusions

Among these ecological studies with limited quality evidence, increasing coverage by the FHS was consistently associated with improvements in child mortality. Scarce evidence on other health outcomes, hospitalization and synergies with cash transfer was found.

Risk of misinterpretation of trends in hospital admissions for primary care sensitive conditions in local contexts: Itaboraí, Rio de Janeiro State, Brazil, 2006-2011

The study's objectives were to describe hospital admissions for primary care sensitive conditions (PCSCs) among residents of Itaboraí, a municipality in Rio de Janeiro State, Brazil, with a high rate of such admissions, to identify associated factors, and to explore the impact from closing a hospital. The ultimate aim was to contribute to the debate on the indicator's indiscriminate use for inferences on the expansion and quality of primary care. The study was based on data from the Hospital Information System of the Brazilian Unified National Health System. Associations between admissions for PCSCs and demographic and hospital-related variables were analyzed with the χ2 test. Logistic regression models verified the year-by-year behavior of admissions for PCSCs. The most frequent admissions were for heart failure, asthma, gastroenteritis, chronic obstructive pulmonary disease, and diabetes mellitus. The odds of hospital admissions were higher in males, brown individuals, at age extremes, and in private and charity hospitals. The trend in the admissions rates for PCSCs over the years was influenced by the closing of a hospital, suggesting caution in attributing changes in admissions rates to quality improvement in primary care.