Primary-Care Visits and Hospitalizations for Ambulatory-Care–Sensitive Conditions in an Inner-City Health Care System

2003 ◽  
Vol 3 (6) ◽  
pp. 324-328 ◽  
Author(s):  
John F. Steiner ◽  
Patricia A. Braun ◽  
Paul Melinkovich ◽  
Judith E. Glazner ◽  
Vijayalaxmi Chandramouli ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Inner City ◽  
Ambulatory Care ◽  
Health Care System ◽  
Ambulatory Care Sensitive Conditions ◽  
Care System ◽  
Ambulatory Care Sensitive ◽  
Sensitive Conditions

scholarly journals Identifying priorities for primary care investment in Ireland through a population-based analysis of avoidable hospital admissions for ambulatory care sensitive conditions (ACSC)

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e028744 ◽  
Author(s):  
Geraldine McDarby ◽  
Breda Smyth
Keyword(s):  
Primary Care ◽  
Ambulatory Care ◽  
Integrated Care ◽  
Hospital Admissions ◽  
Acute Hospital ◽  
Ambulatory Care Sensitive Conditions ◽  
Hospital System ◽  
Bed Days ◽  
Ambulatory Care Sensitive ◽  
Sensitive Conditions

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.

scholarly journals Hospitalization of older adults due to ambulatory care sensitive conditions

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
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Information System ◽  
Ambulatory Care ◽  
Rio De Janeiro ◽  
The State ◽  
Ambulatory Care Sensitive Conditions ◽  
Global Rate ◽  
Ambulatory Care Sensitive ◽  
Sensitive Conditions

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.

Monitoring Health Care System Performance in Iowa

1997 ◽  
Vol 10 (1-2) ◽  
pp. 107-112
Author(s):  
J. E. Rohrer ◽  
M. Vaughan
Keyword(s):  
Health Care ◽  
Medical Care ◽  
Ambulatory Care ◽  
Health Care System ◽  
System Performance ◽  
Hospital Admissions ◽  
High Rate ◽  
Average Risk ◽  
Care System ◽  
Ambulatory Care Sensitive

Monitoring the performance of the health care delivery system is a public health function that becomes more important as organized delivery systems begin to take control over large portions of the medical care market. The study reported here illustrates how standard medical care epidemiology can be applied to analysis of health care system performance to aid governmental efforts to monitor new developments in the medical care market. In order to evaluate the efficiency of hospital care delivered in Iowa, age- and sex-adjusted population admission rates for five common procedures were generated for all 99 counties. The five common procedures were defined as follows: hernia, tonsillectomy, cesarean section, hysterectomy, and cholecystectomy. In addition, variations in 11 ambulatory care-sensitive condition rates were analyzed. Residents of at least 15 counties were at significantly greater than average risk for receiving each of the common procedures (χ2 test, P < 0.05). Counties that had a high rate for one procedure tended to have a high rate for at least one other procedure. Several counties had more than twice the mean rate. Even a 10% reduction, when added across all five common procedures, amounts to well over 2000 hospitalizations avoided. It is assumed that reductions would be concentrated in high-rate counties. If a 50% reduction could be achieved in only part of the ambulatory care-sensitive procedures, more than 10 000 hospital admissions could be avoided.

scholarly journals Conceptual and methodological aspects in the study of hospitalizations for ambulatory care sensitive conditions

2011 ◽  
Vol 16 (suppl 1) ◽  
pp. 1145-1154 ◽  
Author(s):  
Fúlvio Borges Nedel ◽  
Luiz Augusto Facchini ◽  
João Luiz Bastos ◽  
Miguel Martín-Mateo
Keyword(s):  
Health Care ◽  
Ambulatory Care ◽  
Family Health ◽  
Ambulatory Care Sensitive Conditions ◽  
Family Health Program ◽  
Hospitalization Rates ◽  
Effective Care ◽  
Methodological Aspects ◽  
Ambulatory Care Sensitive ◽  
Sensitive Conditions

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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