A Spatial Analysis of Preventable Hospitalization for Ambulatory Care Sensitive Conditions and Regional Characteristics in South Korea

2019 ◽  
Vol 31 (5) ◽  
pp. 422-432
Author(s):  
Jinkyung Kim ◽  
Hye-Young Kang ◽  
Kwang-Soo Lee ◽  
Songhee Min ◽  
Euichul Shin

Hospitalization rates for ambulatory care sensitive conditions (ACSCs) can indicate the accessibility of a community’s primary care. We examined regional variation in ACSC hospitalization rates and identified associated factors. ACSC hospitalization rates in the 232 districts in 2013 ranged from 4.08 to 101.53 per 1000 adults. Spatial analysis showed that none of the 24 highest rate districts were located near Seoul, whereas 80% of the 45 lowest rate districts were, suggesting health care inequality between people living near Seoul and in other areas. Regression analysis showed significantly higher ACSC hospitalization rates in districts with higher elderly (β = 0.94) and low-income populations (β = 2.25), more remote areas (β = 0.29), and more hospital beds (β = 0.03). The number of primary care clinics was negatively associated with ACSC hospitalization (β = −1.37). For these variables, geographically weighted regression analysis provided local regression coefficients, useful for developing region-specific strategies to reduce ACSC hospitalization.

2021 ◽  
Author(s):  
Natália Reis de Carvalho ◽  
Ana Luiza Carvalho Costa ◽  
Andréa Carvalho Araújo Moreira ◽  
Samir Gabriel Vasconcelos Azevedo ◽  
Naiara Teixeira Fernandes ◽  
...  

OBJECTIVE: To analyze the association between the expansion of the Family Health Strategy and hospitalizations for ambulatory care-sensitive conditions in older adults. METHODS: This ecological study was conducted from June to October 2019. The units of analysis were all states in the Northeast of Brazil, and the historical outline included the period from 2008 to 2018. Data on the coverage of the Family Health Strategy and hospitalizations were extracted from the Primary Care Information and Management System and the Hospital Information System. For the association analysis, Spearman coefficients (r) were calculated at a 95% confidence interval (p < 0.05) using STATA, version 13.0. An absolute r value above 0.5 was considered satisfactory. RESULTS: From 2008 to 2018, the Northeast Region recorded a 13.33% increase in the Family Health Strategy coverage and a 27.44% decrease in hospitalization rates. Coverage did not expand in the states of Paraíba, Rio Grande do Norte, and Sergipe; in the latter, there was also no significant reduction in hospitalization rates. There was a correlation between the expansion of the Family Health Strategy and a reduction in hospitalizations for ambulatory care-sensitive conditions in the states of Alagoas (r = −0.9636), Bahia (r = −0.9545), Ceará (r = −0.8884), and Piauí (r = −0.7000). CONCLUSIONS: The results indicate that increased coverage of the Family Health Strategy is associated with greater effectiveness of primary care. However, other intervening factors in hospitalization rates for ambulatory care-sensitive conditions should be considered, such as the health care model and socioeconomic context.


BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e028744 ◽  
Author(s):  
Geraldine McDarby ◽  
Breda Smyth

BackgroundIn 2016, the Irish acute hospital system operated well above internationally recommended occupancy targets. Investment in primary care can prevent hospital admissions of ambulatory care sensitive conditions (ACSCs).ObjectiveTo measure the impact of ACSCs on acute hospital capacity in the Irish public system and identify specific care areas for enhanced primary care provision.DesignNational Hospital In-patient Enquiry System data were used to calculate 2011–2016 standardised bed day rates for selected ACSC conditions. A prioritisation exercise was undertaken to identify the most significant contributors to bed days within our hospital system. Poisson regression was used to determine change over time using incidence rate ratios (IRR).ResultsIn 2016 ACSCs accounted for almost 20% of acute public hospital beds (n=871 328 bed days) with adults over 65 representing 69.1% (n=602 392) of these. Vaccine preventable conditions represented 39.1% of ACSCs. Influenza and pneumonia were responsible for 99.8% of these, increasing by 8.2% (IRR: 1.02; 95% CI 1.02 to 1.03) from 2011 to 2016. Pyelonephritis represented 47.6% of acute ACSC bed days, increasing by 46.5% (IRR: 1.07; 95% CI 1.06 to 1.08) over the 5 years examined.ConclusionsPrioritisation for targeted investment in integrated care programmes is enabled through analysis of ACSC’s in terms of acute hospital bed days. This analysis demonstrates that primary care investment in integrated care programmes for respiratory ACSC’s from prevention to rehabilitation at scale could assist with bed capacity in acute hospitals in Ireland. In adults 65 years and over, including chronic obstructive pulmonary disease patients, the current analysis supports targeting community based pulmonary rehabilitation including pneumococcal and influenza vaccination programmes in order to reduce the burden of infection and hospitalisations. Further exploration of pyelonephritis is necessary in order to ascertain patient profile and appropriateness of admissions.


2003 ◽  
Vol 3 (6) ◽  
pp. 324-328 ◽  
Author(s):  
John F. Steiner ◽  
Patricia A. Braun ◽  
Paul Melinkovich ◽  
Judith E. Glazner ◽  
Vijayalaxmi Chandramouli ◽  
...  

2014 ◽  
Vol 48 (5) ◽  
pp. 817-826 ◽  
Author(s):  
Aline Pinto Marques ◽  
Dalia Elena Romero Montilla ◽  
Wanessa da Silva de Almeida ◽  
Carla Lourenço Tavares de Andrade

OBJECTIVE To analyze the temporal evolution of the hospitalization of older adults due to ambulatory care sensitive conditions according to their structure, magnitude and causes. METHODS Cross-sectional study based on data from the Hospital Information System of the Brazilian Unified Health System and from the Primary Care Information System, referring to people aged 60 to 74 years living in the state of Rio de Janeiro, Souhteastern Brazil. The proportion and rate of hospitalizations due to ambulatory care sensitive conditions were calculated, both the global rate and, according to diagnoses, the most prevalent ones. The coverage of the Family Health Strategy and the number of medical consultations attended by older adults in primary care were estimated. To analyze the indicators’ impact on hospitalizations, a linear correlation test was used. RESULTS We found an intense reduction in hospitalizations due to ambulatory care sensitive conditions for all causes and age groups. Heart failure, cerebrovascular diseases and chronic obstructive pulmonary diseases concentrated 50.0% of the hospitalizations. Adults older than 69 years had a higher risk of hospitalization due to one of these causes. We observed a higher risk of hospitalization among men. A negative correlation was found between the hospitalizations and the indicators of access to primary care. CONCLUSIONS Primary healthcare in the state of Rio de Janeiro has been significantly impacting the hospital morbidity of the older population. Studies of hospitalizations due to ambulatory care sensitive conditions can aid the identification of the main causes that are sensitive to the intervention of the health services, in order to indicate which actions are more effective to reduce hospitalizations and to increase the population’s quality of life.


2011 ◽  
Vol 16 (suppl 1) ◽  
pp. 1145-1154 ◽  
Author(s):  
Fúlvio Borges Nedel ◽  
Luiz Augusto Facchini ◽  
João Luiz Bastos ◽  
Miguel Martín-Mateo

Hospitalization rates for Ambulatory Care Sensitive Conditions have been used to assess effectiveness of the first level of health care. From a critical analysis of related concepts, we discuss principles for selecting a list of codes and, taking the example of the Brazilian Family Health Program, propose a methodological pathway for identifying variables in order to inform statistical models of analysis. We argue that for the indicator to be comparable between regions, disease codes should be selected based on sensitivity and specificity principles, not on observed disease frequency. Rates of hospitalization will be determined, at a distal level, by the socio-economic environment and their effect on the social and demographic structure. Timely and effective care depends on the organization of health services, their availability and access barriers, which depend on the ways health and related technology are conceptualised and on their adherence to the biomedical model or to the Primary Health Care (PHC) principles; performance indicators of the health system will be the proximal determinants. This indicator is potentially useful for primary care evaluation. The historical reconstruction of PHC improves the analysis of the indicator variability.


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