scholarly journals Medicare-Medicaid Eligible Beneficiaries and Potentially Avoidable Hospitalizations

2014 ◽  
Vol 4 (1) ◽  
pp. E1-E13 ◽  
Author(s):  
Misha Segal ◽  
Eric Rollins ◽  
Kevin Hodges ◽  
Michelle Roozeboom
Keyword(s):  
Avoidable Hospitalizations

Post-Hospital Syndrome (PHS) and Potentially Preventable Hospitalizations(PPH) in Adults. MonashWatch adult cohort patient telehealth journeys (Preprint)

2018 ◽  
Author(s):  
Associate Professor Martin ◽  
Narelle Hinckley ◽  
Keith Stockman ◽  
Donadl Campbell
Keyword(s):  
Adverse Outcomes ◽  
Phone Call ◽  
Post Discharge ◽  
Patient Journey ◽  
Preventable Hospitalizations ◽  
Acute Admission ◽  
Avoidable Hospitalizations ◽  
Self Rated Health ◽  
Phone Calls ◽  
Potentially Preventable Hospitalizations

BACKGROUND Monash Watch (MW) aims to reduce avoidable hospitalizations in a cohort above a risk ‘threshold’ identified by HealthLinks Chronic Care (HLCC) algorithms using personal, diagnostic, and service data, excluding surgical and psychiatric admissions. MW conducted regular patient monitoring through outbound phone calls using the Patient Journey Record System (PaJR). PaJR alerts are intended to act as a self-reported barometer of health perceptions with more alerts per call indicating greater risk of Potentially Preventable Hospitalizations (PPH) and Post Hospital Syndrome (PHS). Most knowledge of PPH and PHS occurs at a macro-level with little understanding of fine-grained dynamics. OBJECTIVE To describe patterns of self-reported concerns and self-rated health 10 days before and after acute hospital admission in the telehealth intervention cohort of MonashWatch in the context of addressing PPH and PHS. METHODS Participants: 173 who had an acute admission of the of the 232 HLCC cohort with predicted 3+ admissions/year, in MW service arm for >40 days. Measures: Self-reported health and health care status in 764 MW phone call records which were classified into Total Alerts (all concerns - self-reported) and Red Alerts (concerns judged to be higher risk of adverse outcomes/admissions -acute medical and illness symptoms). Acute (non-surgical) admissions from Victorian Admitted Episode database. Analysis: Descriptive Timeseries homogeneity metrics using XLSTAT. RESULTS Self-reported problems (Total Alerts) statistically shifted to a higher level 3 days before an acute admission and stayed at a high level for the 10 days post discharge; reported acute medical and illness symptoms (Red Alerts) increased 1 day prior to admission and but remained at a higher level than before admission. Symptoms of concern did not change before admission or after discharge. Self-rated health and feeling depressed were reported to worsen 5 days post discharge. Patients reported more medication changes up to 2 days before acute admission. CONCLUSIONS These descriptive findings in a cohort of high risk individuals suggest a prehospital phase of what is termed PHS, which persisted on discharge and possibly worsened 5 days after discharge with worse self-rated health and depressive symptoms. Further research is needed. The role and place of community and hospital in such a cohort needs further investigation and research into PPH and PHS.

scholarly journals Stakeholder Perspectives on Reducing Hospitalizations Among Nursing Home Residents

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 85-85
Author(s):  
Denise Tyler ◽  
Cleanthe Kordomenos ◽  
Melvin Ingber
Keyword(s):  
New York ◽  
Nursing Home ◽  
Nurse Practitioners ◽  
Hospital Readmissions ◽  
Nursing Home Residents ◽  
Health State ◽  
Frontline Staff ◽  
Avoidable Hospitalizations ◽  
Stakeholder Perspectives ◽  
Advance Care

Abstract Organizations in seven states have been participating in the Center for Medicare and Medicaid Innovation (CMMI) initiative aimed at reducing potentially avoidable hospitalizations among long-stay nursing home (NH) residents. The purpose of this study was to identify market and policy factors that may have affected the initiative in those states. Forty-seven interviews were conducted with key stakeholders in the seven states (e.g., representatives from state departments of health, state Medicaid offices, and nursing, hospital and nursing home associations) and qualitatively analyzed to identify themes across states. Few policies or programs were found that may have affected the initiative; only New York (NY) was found to have state policies or programs specifically aimed at reducing hospitalizations. Market pressures reported in most states were similar. For example, stakeholders reported that the increased availability of home and community-based services and the growing presence of managed care are contributing to higher acuity among both long and short stay residents and that reimbursement rates and staffing have not kept up. Stakeholders suggested greater presence of physicians and nurse practitioners in NHs, better training around behavioral health issues for frontline staff, and more advance care planning and education of families about end of life may help further reduce NH hospitalizations. We also found that all states, except NY, had regional coalitions of health care related organizations focused on improving some aspect of care, such as reducing hospital readmissions. These coalitions may suggest ways that organizations can work together to reduce hospitalizations among NH residents.

scholarly journals Economic and financial crisis based on Troika’s intervention and potentially avoidable hospitalizations: an ecological study in Portugal

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Cristina Loureiro da Silva ◽  
João Victor Rocha ◽  
Rui Santana
Keyword(s):  
Financial Crisis ◽  
Health Management ◽  
Hypertensive Heart Disease ◽  
Foreign Assistance ◽  
Chronic Obstructive ◽  
Socioeconomic Variables ◽  
Avoidable Hospitalizations ◽  
Use Of Resources ◽  
Tract Infections ◽  
Economic And Financial Crisis

Abstract Background Hospitalisations for Ambulatory Care Sensitive Conditions (ACSC) cause harm to users and to health systems, as these events are potentially avoidable. In 2009, Portugal was hit by an economic and financial crisis and in 2011 it resorted to foreign assistance (“Memorandum of Understanding” (2011–2014)). The aim of this study was to analyse the association between the Troika intervention and hospitalisations for ACSC. Methods We analysed inpatient data of all public NHS hospitals of mainland Portugal from 2007 to 2016, and identified hospitalisations for ACSC (pneumonia, chronic obstructive pulmonary disease, hearth failure, hypertensive heart disease, urinary tract infections, diabetes), according to the AHRQ methodology. Rates of hospitalisations for ACSC, the rate of enrollment in the employment center and average monthly earnings were compared among the pre-crisis, crisis and post-crisis periods to see if there were differences. A Spearman’s correlation between socioeconomic variables and hospitalisations was performed. Results Among 8,160,762 admissions, 892,759 (10.94%) were classified as ACSC hospitalizations, for which 40% corresponded to pneumonia. The rates of total hospitalisations and hospitalisations for ACSC increased between 2007 and 2016, with the central and northern regions of the country presenting the highest rates. No correlations between socioeconomic variables and hospitalisation rates were found. Conclusions During the period of economic and financial crisis based on Troika’s intervention, there was an increase in potentially preventable hospitalisations in Portugal, with disparities between the municipalities. The high use of resources from ACSC hospitalisations and the consequences of the measures taken during the crisis are factors that health management must take into account.

scholarly journals 13693 Racial Disparities in Potentially Avoidable Hospitalizations During the COVID-19 Pandemic

2021 ◽  
pp. 1-2
Author(s):  
Richard K. Leuchter ◽  
Chad Wes A. Villaflores ◽  
Keith C. Norris ◽  
Andrea Sorensen ◽  
Sitaram Vangala ◽  
...  
Keyword(s):  
Racial Disparities ◽  
Avoidable Hospitalizations

scholarly journals Racial Disparities in Potentially Avoidable Hospitalizations During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Richard K. Leuchter ◽  
Chad Wes A. Villaflores ◽  
Keith C. Norris ◽  
Andrea Sorensen ◽  
Sitaram Vangala ◽  
...  
Keyword(s):  
Racial Disparities ◽  
Avoidable Hospitalizations

scholarly journals Primary care organizational model mix and avoidable hospitalization: an ecological study in Portugal

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Pinto ◽  
J V Santos ◽  
M Lobo ◽  
J Viana ◽  
J Souza ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Primary Healthcare ◽  
Pay For Performance ◽  
Care Quality ◽  
Organizational Model ◽  
Avoidable Hospitalizations ◽  
Primary Health ◽  
Age And Sex

Abstract Background In Portugal, there are different organizational models in primary health care (PHC), mainly regarding the payment scheme. USF-B is the only type with financial incentives to the professional (pay-for-performance). Our goal was to assess the relationship between groups of primary healthcare centres (ACES) with higher proportion of patients within USF-B model and the rate of avoidable hospitalizations, as proxy of primary care quality. Methods We conducted a cross-sectional study considering the 55 ACES from mainland Portugal, in 2017. We used data from public hospitalizations to calculate the prevention quality indicator (avoidable hospitalizations) adjusted for age and sex, using direct standardization. The main independent variable was the proportion of patients in one ACES registered in the USF-B model. Unemployment rate, proportion of patients with family doctor and presence of Local Health Unit (different organization model) within ACES were also considered. The association was assessed by means of a linear regression model. Results Age-sex adjusted PQI value varied between 490 and 1715 hospitalizations per 100,000 inhabitants across ACES. We observed a significant effect of the proportion of patients within USF-B in the crude PQI rate (p = 0.001). However, using the age-sex adjusted PQI, there was not a statistical significant association (p = 0.504). This last model was also adjusted for confounding variables and the association remains non-significant (p = 0.865). Conclusions Our findings suggest that, when adjusting for age and sex, there is no evidence that ACES with more patients enrolled in a pay-for-performance model is associated with higher quality of PHC (using avoidable hospitalizations as proxy). Further studies addressing individual data should be performed. This work was financed by FEDER funds through the COMPETE 2020 - POCI, and by Portuguese funds through FCT in the framework of the project POCI-01-0145-FEDER-030766 “1st.IndiQare”. Key messages Adjusting PQI to sex and age seems to influence its value more than the type of organizational model of primary health care. Groups of primary healthcare centres with more units under the pay-for-performance scheme was not associated with different rate of avoidable hospitalizations.

Potentially Avoidable Hospitalizations for Elderly Long-stay Residents in Nursing Homes

Medical Care ◽  
2013 ◽  
Vol 51 (8) ◽  
pp. 673-681 ◽  
Author(s):  
William D. Spector ◽  
Rhona Limcangco ◽  
Christianna Williams ◽  
William Rhodes ◽  
Donna Hurd
Keyword(s):  
Nursing Homes ◽  
Avoidable Hospitalizations

scholarly journals Air pollutants and hospitalization due to pneumonia among children. An ecological time series study

2015 ◽  
Vol 133 (5) ◽  
pp. 408-413 ◽  
Author(s):  
Tassia Soldi Tuan ◽  
Taís Siqueira Venâncio ◽  
Luiz Fernando Costa Nascimento
Keyword(s):  
Time Series ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Population Attributable Fraction ◽  
Additive Model ◽  
Cost Savings ◽  
Time Series Study ◽  
Avoidable Hospitalizations ◽  
Relative Risks ◽  
Series Study

ABSTRACT CONTEXT AND OBJECTIVE: Exposure to air pollutants is one of the factors responsible for hospitalizations due to pneumonia among children. This has considerable financial cost, along with social cost. A study to identify the role of this exposure in relation to hospital admissions due to pneumonia among children up to 10 years of age was conducted. DESIGN AND SETTING: Ecological time series study using data from São José dos Campos, Brazil. METHODS: Daily data on hospitalizations due to pneumonia and on the pollutants CO, O3, PM10 and SO2, temperature and humidity in São José dos Campos, in 2012, were analyzed. A generalized additive model of Poisson's regression was used. Relative risks for hospitalizations due to pneumonia, according to lags of 0-5 days, were estimated. The population-attributable fraction, number of avoidable hospitalizations and cost savings from avoidable hospitalizations were calculated. RESULTS: There were 539 admissions. Exposure to CO and O3 was seen to be associated with hospitalizations, with risks of 1.10 and 1.15 on the third day after exposure to increased CO concentration of 200 ppb and ozone concentration of 20 µg/m3. Exposure to the pollutants of particulate matter and sulfur dioxide were not shown to be associated with hospitalizations. Decreases in CO and ozone concentrations could lead to 49 fewer hospitalizations and cost reductions of R$ 39,000.00. CONCLUSION: Exposure to certain air pollutants produces harmful effects on children's health, even in a medium-sized city. Public policies to reduce emissions of these pollutants need to be implemented.

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