The effects of HMO penetration on preventable hospitalizations

Health care Utilization and Expenditures in Health Professional Shortage Areas

Healthcare provider shortages are associated with adverse health outcomes, presumably stemming from the lack of access to primary care. This study examines the impact of Health Professional Shortage Areas (HPSAs) on healthcare utilization and spending across different types of care. Using the Medical Expenditure Panel Survey from 2002 to 2019, this study estimates the difference in healthcare utilization in HPSAs compared with non-HPSAs using a generalized random forest, which allows for more complex modeling of the outcome and a principled examination of heterogenous treatment effects. The results indicate HPSAs are associated with a 5% reduction in medical office visits, but no reduction in hospital-based care. These effects are concentrated in older persons living in urban areas, Black persons, and Medicaid beneficiaries. No statistically significant effects on annual spending were observed. These results offer insight into potential areas for further policy efforts aimed at reducing provider shortages.

Impact of Statewide Mandatory Medicaid Managed Care (SMMC) Programs on Hospital Obstetric Outcomes

The state of Florida implemented mandatory managed care for Medicaid enrollees via the Statewide Medicaid Managed Care (SMMC) program in April of 2014. The objective of this study was to examine the impact of the implementation of the SMMC program on the access to care and quality of maternal care for Medicaid enrollees, as measured by several hospital obstetric outcomes. The primary data source for this retrospective observational study was the Hospital Cost and Utilization Project (HCUP) all-payer State ED (SED) visit and State Inpatient Databases (SIDs) from 2010 to 2017. The primary health outcomes for obstetric care were primary cesarean, preterm birth, postpartum preventable ED visits, postpartum preventable readmissions, and vaginal delivery after cesarean (VBAC) rates. Using difference-in-differences (DID) estimation, selected health outcomes were examined for Florida residents with Medicaid beneficiaries (treatment) and the commercially insured population (comparison), before and after the implementation of SMMC. Improvement in disparities for racial/ethnic minority Medicaid enrollees was estimated relative to whites, compared to the relative change among commercially insured patients. From the DID estimation, the findings showed that SMMC is statistically significantly associated with a higher reduction in primary cesarean rates, preterm births, preventable postpartum ED visits, and readmissions among Medicaid beneficiaries relative to their commercially insured counterparts. However, this study did not find any significant reduction in racial/ethnic disparities in obstetric outcomes. In general, this study highlights the impact of SMMC implementation on obstetric outcomes in Florida and provides important insights and potential scope for improvement in obstetric care quality and associated racial/ethnic disparities.

Potentially preventable hospital readmissions after patients' first stroke in Taiwan

Readmission is an important indicator of the quality of care. The purpose of this study was to explore the probabilities and predictors of 30-day and 1-year potentially preventable hospital readmission (PPR) after a patient's first stroke. We used claims data from the National Health Insurance (NHI) from 2010 to 2018. Multinomial logistic regression was used to assess the predictors of 30-day and 1-year PPR. A total of 41,921 discharged stroke patients was identified. We found that hospital readmission rates were 15.48% within 30-days and 47.25% within 1-year. The PPR and non-PPR were 9.84% (4123) and 5.65% (2367) within 30-days, and 30.65% (12,849) and 16.60% (6959) within 1-year, respectively. The factors of older patients, type of stroke, shorter length of stay, higher Charlson Comorbidity Index (CCI), higher stroke severity index (SSI), regional hospital, public and private hospital, and hospital in the lower urbanized area were associated significantly with the 30-day PPR. In addition, the factors of male, hospitalization year, and monthly income were associated significantly with 1-year PPR. The ORs of long-term PPR showed a decreasing trend since implementing the national health insurance post-acute care (PAC) program in 2014 and a dramatic drop in 2018 after the government expanded the long-term care plan-LTC 2.0 in 2017. The results showed that better discharge planning, implementing post-acute care programs and long-term care plan-LTC 2.0 may benefit the care of stroke patients and help reduce long-term readmission in Taiwan.

Predictors of hospitalizations for diabetes in Germany: an ecological study on a small-area scale

OBJECTIVES

Our objective was to evaluate the role of potential predictors in explaining spatial variation among diabetes hospitalization rates in Germany.

STUDY DESIGN

This was an ecological analysis using hospital routine data.

METHODS

County-level hospitalization rates (n = 402) in 2015 were calculated based on the German Diagnosis Related Groups database. We used a funnel plot to identify counties with high hospitalization rates. To examine the impact of predictors such as socio-economic status or structure of primary care, we performed linear and logistic regression analyses.

RESULTS

The crude hospitalization rate was 262 admissions per 100,000 population. In multivariable logistic models, we found the percentage of employees with academic degree (odds ratio [OR]: 0.72, 95% confidence interval [CI]: 0.56-0.91), high hospital bed rate (4th quartile vs 1st quartile; OR: 2.73, CI: 1.03-7.24), and diabetes prevalence (OR: 1.49, CI: 1.17-1.90) to be significant predictors for high hospitalization rates. In multivariable linear models, the percentage of unemployed (regression coefficient b: 4.79, CI: 0.81-8.78) and rurality (b: 0.52, CI: 0.19-0.85) explained the variation in addition to predictors from logistic regression. Primary care structure was not a significant predictor in multivariable models.

CONCLUSIONS

The non-significant impact of primary care in adjusted models casts the use of diabetes hospitalizations as indicators for access and quality of primary care into doubt. Diabetes hospitalizations may rather reflect demand for care.

The association between patient engagement HIT functionalities and quality of care: Does more mean better?

OBJECTIVE

To explore the relationship between the number (breadth) of patient engagement functionalities offered through health information technology (HIT) by hospitals and the hospitals' quality of care.

METHODS

Data on hospital adoption of patient engagement functionalities were combined with quality data obtained from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare. Fixed effects regression models were used to analyze a panel data consisting 1,463 hospitals from 2012 to 2014.

RESULTS

This study revealed a significant positive relationship between the breadth of patient engagement functionalities and patient satisfaction (β = 0.126, p < 0.05). The number of functionalities was also found to be negatively associated with 30-day readmission rates for myocardial infarction (β= -0.085, p < 0.05), heart failure (β= -0.109, p < 0.05), and pneumonia (β= -0.048, p < 0.05).

DISCUSSION

The breadth of functionalities offered by hospitals to engage patients was a significant factor in decreasing hospital 30-day readmission rates for pneumonia, acute myocardial infarction, and heart failure, and also influenced patients' perception of the hospital.

CONCLUSIONS

The findings suggest that hospitals with more patient engagement HIT functionalities are likely to have higher patient satisfaction and lower readmission rates for infarction, heart failure, and pneumonia. This study will potentially assist hospital administrators to justify their strategic deployment of HIT resources to improve both perceived and actual care quality.

Do hospitals influence geographic variation in admission for preventable hospitalisation? A data linkage study in New South Wales, Australia

OBJECTIVE

Preventable hospitalisations are used internationally as a performance indicator for primary care, but the influence of other health system factors remains poorly understood. This study investigated between-hospital variation in rates of preventable hospitalisation.

SETTING

Linked health survey and hospital admissions data for a cohort study of 266 826 people aged over 45 years in the state of New South Wales, Australia.

METHOD

Between-hospital variation in preventable hospitalisation was quantified using cross-classified multiple-membership multilevel Poisson models, adjusted for personal sociodemographic, health and area-level contextual characteristics. Variation was also explored for two conditions unlikely to be influenced by discretionary admission practice: emergency admissions for acute myocardial infarction (AMI) and hip fracture.

RESULTS

We found significant between-hospital variation in adjusted rates of preventable hospitalisation, with hospitals varying on average 26% from the state mean. Patients served more by community and multipurpose facilities (smaller facilities primarily in rural areas) had higher rates of preventable hospitalisation. Community hospitals had the greatest between-hospital variation, and included the facilities with the highest rates of preventable hospitalisation. There was comparatively little between-hospital variation in rates of admission for AMI and hip fracture.

CONCLUSIONS

Geographic variation in preventable hospitalisation is determined in part by hospitals, reflecting different roles played by community and multipurpose facilities, compared with major and principal referral hospitals, within the community. Care should be taken when interpreting the indicator simply as a performance measure for primary care.

Does capitated managed care affect budget predictability? Evidence from Medicaid programs

As the second largest item in the budget of every US state, Medicaid budget stability and financial transparency have significance for every state. This study is the first to test whether managed care enrollment reduces the variance of Medicaid spending, in contrast to the focus of the existing literature on spending levels. This variance bears directly on whether budget constrained states whether budget constrained states benefit from managed care in the form of stabilized spending, leading to improved budget predictability. Capitated payments stabilize spending at the margin, but the effects may be unobservable in aggregate due to variation in enrollment, which is directly measured in the analysis, or selection bias, which is unobserved. Although the majority of Medicaid enrollees are in managed care, the study shows that managed care use has been concentrated among the enrollees with the most stable spending, resulting in only small gains to budget predictability. This finding is robust to the exclusion of the claims expenditures that exhibit the most variance.

Using Weighted Hospital Service Area Networks to Explore Variation in Preventable Hospitalization

Objective

To demonstrate the use of multiple‐membership multilevel models, which analytically structure patients in a weighted network of hospitals, for exploring between‐hospital variation in preventable hospitalizations.

Data Sources

Cohort of 267,014 people aged over 45 in NSW, Australia.

Study Design

Patterns of patient flow were used to create weighted hospital service area networks (weighted‐HSANs) to 79 large public hospitals of admission. Multiple‐membership multilevel models on rates of preventable hospitalization, modeling participants structured within weighted‐HSANs, were contrasted with models clustering on 72 hospital service areas (HSAs) that assigned participants to a discrete geographic region.

Data Collection/Extraction Methods

Linked survey and hospital admission data.

Principal Findings

Between‐hospital variation in rates of preventable hospitalization was more than two times greater when modeled using weighted‐HSANs rather than HSAs. Use of weighted‐HSANs permitted identification of small hospitals with particularly high rates of admission and influenced performance ranking of hospitals, particularly those with a broadly distributed patient base. There was no significant association with hospital bed occupancy.

Conclusion

Multiple‐membership multilevel models can analytically capture information lost on patient attribution when creating discrete health care catchments. Weighted‐HSANs have broad potential application in health services research and can be used across methods for creating patient catchments.

Factors associated with hospitalisations in chronic conditions deemed avoidable: ecological study in the Spanish healthcare system

OBJECTIVES

Potentially avoidable hospitalisations have been used as a proxy for primary care quality. We aimed to analyse the ecological association between contextual and systemic factors featured in the Spanish healthcare system and the variation in potentially avoidable hospitalisations for a number of chronic conditions.

METHODS

A cross-section ecological study based on the linkage of administrative data sources from virtually all healthcare areas (n=202) and autonomous communities (n=16) composing the Spanish National Health System was performed. Potentially avoidable hospitalisations in chronic conditions were defined using the Spanish validation of the Agency for Health Research and Quality (AHRQ) preventable quality indicators. Using 2012 data, the ecological association between potentially avoidable hospitalisations and factors featuring healthcare areas and autonomous communities was tested using multilevel negative binomial regression.

RESULTS

In 2012, 151 468 admissions were flagged as potentially avoidable in Spain. After adjusting for differences in age, sex and burden of disease, the only variable associated with the outcome was hospitalisation intensity for any cause in previous years (incidence risk ratio 1.19 (95% CI 1.13 to 1.26)). The autonomous community of residence explained a negligible part of the residual unexplained variation (variance 0.01 (SE 0.008)). Primary care supply and activity did not show any association.

CONCLUSIONS

The findings suggest that the variation in potentially avoidable hospitalisations in chronic conditions at the healthcare area level is a reflection of how intensively hospitals are used in a healthcare area for any cause, rather than of primary care characteristics. Whether other non-studied features at the healthcare area level or primary care level could explain the observed variation remains uncertain.

Mandatory Statewide Medicaid Managed Care in Florida and Hospitalizations for Ambulatory Care Sensitive Conditions

OBJECTIVE

To investigate the impact of implementation of the Statewide Medicaid Managed Care (SMMC) program in Florida on access to and quality of primary care for Medicaid enrollees, measured by hospitalizations for ambulatory care sensitive conditions (ACSCs).

DATA SOURCES

We examine inpatient data obtained from the Agency for Health Care Administration for 285 hospitals in Florida from January 2010 to June 2015. The analysis includes 3,645,515 discharges for Florida residents between the ages 18 and 64 with a primary payer of Medicaid or private insurance.

STUDY DESIGN

We use a difference-in-differences approach, comparing the change in the incidence of ACSC-related inpatient visits among Medicaid patients before and after the implementation of SMMC, relative to the change among the privately insured.

PRINCIPAL FINDINGS

After implementation of SMMC, Medicaid patients experienced a 0.35 percentage point slower growth in overall ACSC-related inpatient visits, and a 0.21 percentage point slower growth in chronic ACSC-related inpatient visits. The effects were significant in counties with above median Medicaid managed care penetration rates.

CONCLUSIONS

Implementing mandatory managed care in Medicaid in Florida leads to slower growth in inpatient visits for conditions that can potentially be prevented with improved access to outpatient care.

Ambulatory Care-Sensitive Condition Hospitalizations Among Medicare Beneficiaries

INTRODUCTION

This study examined the association between the distribution of primary care physicians and Medicare beneficiaries' ambulatory care sensitive condition hospitalizations using both statistical and spatial analyses.

METHODS

Data from the 2014 County Health Rankings, 2013-2014 Area Resource File, and the 2014 Food Environment Atlas Data File were integrated to perform county-level ordinary least squares and geographically weighted regression. Analyses were conducted in late 2015.

RESULTS

Primary care physician density was found to be negatively associated with Medicare beneficiaries' ambulatory care sensitive condition hospitalization rate in both ordinary least squares (β=-5.88, p=0.0037) and geographically weighted regression models (37.08% of all counties), with the latter model finding significant relationships in the South and Northeast.

CONCLUSIONS

Preventable hospitalizations are high in areas of the U.S. that have low primary care physician density and other healthcare resources, large non-white populations, high levels of area deprivation, and rural designations. Using geospatial techniques helped document areas of greatest concern for potential intervention. Future research needs to account for these regional differences and target surveillance accordingly.

Trends in Managed Care Cost Containment: An Analysis of the Managed Care Backlash

Consumer dissatisfaction with the quality and limitations of managed health care led to rapid disenrollment from managed care plans and demands for regulation between 1998 and 2003. Managed care organizations, particularly health maintenance organizations (HMOs), now face quality and coverage mandates that restrict them from using their most aggressive strategies for managing costs. This paper examines the effect of this backlash on managed care's ability to contain costs among short-term, non-federal hospitals between 1998 and 2008. The results show that the impact of increased HMO penetration on inpatient costs reversed over the study period, but HMOs were still effective at containing outpatient costs. These findings have important policy implications for understanding the continuing role that HMOs should play in cost containment policy and for understanding how effective the latest wave of cost containment institutions may perform in heavily regulated markets.

Potentially avoidable hospitalizations in five European countries in 2009 and time trends from 2002 to 2009 based on administrative data

INTRODUCTION

Potentially avoidable hospitalizations in chronic conditions are used to evaluate health-care performance. However, evidence comparing different countries at small geographical areas is still scarce. The aim of the present study is to describe and discuss differences in rates and time-trends across health-care areas from five European countries.

METHODS

Observational, ecological study, on virtually all discharges produced in five European countries between 2002 and 2009. Potentially avoidable hospitalizations were operationally defined as a joint indicator composed of six chronic conditions. Episodes flagged as potentially avoidable were allocated to 913 geographical health-care areas. Age-sex standardized rates and standardized hospitalization ratios, as well as several statistics of variation, were estimated.

RESULTS

Four hundred sixty-two thousand seven hundred and ninety-two episodes were flagged as potentially avoidable. Variation in rates across countries was notable, from 93.7 cases per 10,000 inhabitants in Denmark to 34.8 cases per 10,000 inhabitants in Portugal. Within-country variation was also noteworthy, from 3.12 times among extreme areas in Spain to a 1.46-fold difference in Denmark. The highest systematic variation was found in Denmark (empirical Bayes 0.45) and the lowest in England (empirical Bayes 0.08). Rates and systematic variation remained fairly stable over time, with Denmark and England experiencing a statistically significant decrease (20% and 10%, respectively). Income and educational level, hospital utilization propensity, and region of residence were found to be associated with avoidable admissions.

CONCLUSION

The dramatic variation across countries, beyond age and sex differences, and its consistency over time, implies systemic, although differential, behaviour of the five health-care systems with regard to chronic care.

Organizational aspects of primary care related to avoidable hospitalization: a systematic review

BACKGROUND

Often used indicators for the quality of primary care are hospital admissions rates for conditions which are potentially avoidable by well-functioning primary care. Such hospitalizations are frequently termed as ambulatory care sensitive conditions (ACSCs).

OBJECTIVE

We aim to investigate which characteristics of primary care organization influence avoidable hospitalization for chronic ACSCs.

METHODS

MEDLINE, Embase and SciSearch were searched for publications on avoidable hospitalization and primary care. Studies were included if peer reviewed, written in English, published between January 1997 and November 2013, conducted in high income countries, identified hospitalization for ACSC as outcome measures and researched organization characteristics of primary care. A risk of bias assessment was performed to assess the quality of the articles.

FINDINGS

A total of 1778 publications were reviewed, of which 49 met inclusion criteria. Twenty-two primary care factors were found. Factors were clustered into four primary care clusters: system-level characteristics, accessibility, structural and organizational characteristics and organization of the care process. Adequate physician supply and better longitudinal continuity of care reduced avoidable hospitalizations. Furthermore, inconsistent results were found on the effectiveness of various disease management programs in reducing hospitalization rates.

CONCLUSIONS

Available evidence suggests that strong primary care in terms of adequate primary care physician supply and long-term relationships between primary care physicians and patients reduces hospitalizations for chronic ACSCs. There is a lack of evidence for the positive effects of many other organizational primary care aspects, such as specific disease management programs.

Has access to care changed in minority communities? A study of preventable hospitalizations over time in selected States

This study assesses the changes in access to care in minority communities by examining the association between preventable hospitalization rates and racial/ethnic composition of the community during 1995-2005. Using hospital discharge data from Healthcare Cost and Utilization Project State Inpatient Database of the Agency for Healthcare Research and Quality in 5 states and focusing on the nonelderly adults and elderly age groups, the study includes a multivariate cross-sectional design using preventable hospitalization rates by primary care service area as the outcome and racial/ethnic compositions of total hospital discharges by resident population in the primary care service area as the primary explanatory variables. The study indicates increases in barriers faced by minority adults in accessing primary care over time, with no similar evidence for the elderly subgroup.

The association between managed care enrollments and potentially preventable hospitalization among adult Medicaid recipients in Florida

Background

The intent of adopting managed care plans is to improve access to health care services while containing costs. To date, there have been a number of studies that examine the relationship between managed care and access to health care. However, the results from previous studies have been inconsistent. Specifically, previous studies did not demonstrate a clear benefit of Medicaid managed care. In this study we have examine whether Medicaid managed care is associated with the probabilities of preventable hospitalizations. This study also analyzes the spillover effect of Medicaid managed care into Medicaid patients in traditional FFS plans and the interaction effects of other patient- and county-level variables on preventable hospitalizations.

Methods

The study included 254,321 Medicaid patients who were admitted to short-term general hospital in the 67 counties in Florida. Using 2008 hospital inpatient discharge data for working-age adult Medicaid enrollees (18-64 years) in Florida, we conduct multivariate logistic regression analyses to identify possible factors associated with preventable hospitalizations. The first model includes patient- and county-level variables. Then, we add interaction terms between Medicaid HMO and other variables such as race, rurality, market-level factors, and resource for primary care.

Results

The results show that Medicaid HMO patients are more likely to be hospitalized for ambulatory care sensitive conditions (ACSCs) (OR = 1.30; CI = 1.21, 1.40). We also find that market structure (i.e., competition) is significantly associated with preventable hospitalizations. However, our study does not support that there are spillover effects of Medicaid managed care on preventable hospitalizations for other Medicaid recipients. We find that interactions between Medicaid managed care and race, rurality and market structure are significant.

Conclusions

The results of our study show that the Medicaid managed care program in Florida was associated with an increase in potentially preventable hospitalizations for Medicaid enrollees. The results suggest that lower capitation rate has been associated with a greater likelihood of preventable hospitalizations for Medicaid managed care patients. Our findings also indicate that increased competition in the Medicaid managed care market has no clear benefit in Medicaid managed care patients.

Preventable readmissions within 30 days of ischemic stroke among Medicare beneficiaries

BACKGROUND AND PURPOSE

The Centers for Medicare and Medicaid Services proposes to use 30-day hospital readmissions after ischemic stroke as part of the Hospital Inpatient Quality Reporting Program for payment determination beginning in 2016. The proportion of poststroke readmissions that is potentially preventable is unknown.

METHODS

Thirty-day readmissions for all Medicare fee-for-service beneficiaries aged≥65 years discharged alive with a primary diagnosis of ischemic stroke (International Classification of Diseases, Ninth Revision, Clinical Modification 433, 434, 436) between December 2005 and November 2006 were analyzed. Preventable readmissions were identified based on 14 Prevention Quality Indicators developed for use with administrative data by the US Agency for Healthcare Research and Quality. National, hospital-level, and regional preventable readmission rates were estimated. Random-effects logistic regression was also used to determine patient-level factors associated with preventable readmissions.

RESULTS

Among 307 887 ischemic stroke discharges, 44 379 (14.4%) were readmitted within 30 days; 5322 (1.7% of all discharges) were the result of a preventable cause (eg, pneumonia), and 39 057 (12.7%) were for other reasons (eg, cancer). In multivariate analysis, older age and cardiovascular-related comorbid conditions were strong predictors of preventable readmissions. Preventable readmission rates were highest in the Southeast, Mid-Atlantic, and US territories and lowest in the Mountain and Pacific regions.

CONCLUSIONS

On the basis of Agency for Healthcare Research and Quality Prevention Quality Indicators, we found that a small proportion of readmissions after ischemic stroke were classified as preventable. Although other causes of readmissions not reflected in the Agency for Healthcare Research and Quality measures could also be avoidable, hospital-level programs intended to reduce all-cause readmissions and costs should target high-risk patients.

Better Quality of Care or Healthier Patients? Hospital Utilization by Medicare Advantage and Fee-for-Service Enrollees

Do differences in rates of use among managed care and Fee-for-Service Medicare beneficiaries reflect selection bias or successful care management by insurers? I demonstrate a new method to estimate the treatment effect of insurance status on health care utilization. Using clinical information and risk-adjustment techniques on data on acute admission that are unrelated to recent medical care, I create a proxy measure of unobserved health status. I find that positive selection accounts for between one-quarter and one-third of the risk-adjusted differences in rates of hospitalization for ambulatory care sensitive conditions and elective procedures among Medicare managed care and Fee-for-Service enrollees in 7 years of Healthcare Cost and Utilization Project State Inpatient Databases from Arizona, Florida, New Jersey and New York matched to Medicare enrollment data. Beyond selection effects, I find that managed care plans reduce rates of potentially preventable hospitalizations by 12.5 per 1,000 enrollees (compared to mean of 46 per 1,000) and reduce annual rates of elective admissions by 4 per 1,000 enrollees (mean 18.6 per 1,000).

Factors associated with hospitalisations for ambulatory care-sensitive conditions among persons with an intellectual disability: a publicly insured population perspective

BACKGROUND

Hospitalisations for ambulatory care-sensitive (ACS) conditions are used as an indicator of access to, and the quality of, primary care. The objective was to identify factors associated with hospitalisations for ACS conditions among adults with an intellectual disability (ID) in the context of a publicly insured healthcare system.

METHODS

This study examined adults with an ID living in a Canadian province between 1999 and 2003 identified from administrative databases. Using 5 years of data for the study population, characteristics of persons hospitalised or not hospitalised for ACS conditions were compared. Using a conceptual model, independent variables were selected and an analysis performed to identify which were associated with hospitalisations for ACS conditions. The correlated nature of the observations was accounted for statistically.

RESULTS

Living in a rural area [odds ratio (OR) 1.3; 95% confidence intervals (CI) = 1.0, 1.8], living in an area with a high proportion of First Nations people (OR 2.3; 95% CI = 1.3, 4.1), and experiencing higher levels of comorbidity (OR 25.2; 95% CI = 11.9, 53.0) were all associated with a higher likelihood of being hospitalised for an ACS condition. Residing in higher income areas had a protective effect (OR 0.56; 95% CI = 0.37, 0.85). None of the health service resource variables showed statistically significant associations.

CONCLUSIONS

Persons with an ID experience inequity in hospitalisations for ACS conditions according to rurality, income and proportion who are First Nations in a geographic area. This suggests that addressing the socio-economic problems of poorer areas and specifically areas densely populated by First Nations people may have an impact on the number of hospitalisations for ACS conditions. Study strengths and limitations and areas for potential future research are discussed.

Small area analysis of ambulatory care sensitive conditions in Victoria, Australia

Ambulatory care sensitive conditions (ACSCs) are used as a measure of access to primary health care. The purpose of this study was to identify factors associated with variation in ACSC admissions at a small area level in Victoria, Australia. The study was ecologic, using Victorian Primary Care Partnerships (PCPs) as the unit of analysis. Data sources were the Victorian Admitted Episodes Dataset, census data from the Australian Bureau of Statistics, and the Victorian Population Health Survey. Age- and sex-adjusted total ACSC admission rates were calculated, and weighted least squares multiple linear regression was used to examine the associations of total ACSC admission rates by various predictor variables. Key variables were categorized into 1 of 4 framework components for analyzing access and use of health care services: predisposing, enabling, need, or structural. Enabling characteristics explained 61.70% of the variation in ACSC admission rates across PCPs. Socioeconomic characteristics (income, education) and percentage with poor self-rated health were important factors in explaining variations in ACSC admissions at a small area-level [R(2)=0.77]. Community-level variables differentially affect access to primary health care, with significant variation by socioeconomic status. This analytical approach will assist researchers to identify community-level predicators of access across populations at locations, including factors that may be affected by policy change.

Characteristics of all, occasional, and frequent emergency department visits due to ambulatory care-sensitive conditions in Florida

We studied characteristics of all, occasional, and frequent emergency department (ED) visits due to ambulatory care-sensitive conditions (ACSCs). We used a cross-sectional, split-sample design with multivariate logistic regressions using encounter-level, all-payer ED data from all Florida hospitals for the year of 2005. We evaluated associations of key patient characteristics, characteristics of ED utilization, and availability of primary care physicians in the area, with ED visits for ACSCs. We concluded that factors associated with ED use for ACSCs were similar for occasional and frequent ED users. Therefore, universal strategies for reduction of ED overutilization by increasing access to, timeliness, and quality of primary care for all patients likely to experience ACSCs should be used.

Internações por condições sensíveis à atenção primária em Campo Grande, Mato Grosso do Sul, Brasil, 2000 a 2009

Este estudo analisou a correlação entre a evolução da cobertura do Estratégia Saúde da Família (ESF) e a taxa das internações por condições sensíveis à atenção primária (ICSAP), em Campo Grande, Mato Grosso do Sul, Brasil, no período de 2000 a 2009. O estudo de caráter ecológico foi conduzido utilizando-se os dados do Sistema de Informações Hospitalares (SIH), disponíveis no site do Departamento de Informática do SUS (DATASUS) e do Instituto Brasileiro de Geografia e Estatística (IBGE). Na análise estatística foram utilizados o coeficiente de correlação linear de Pearson e sua significância. Campo Grande apresentou correlação inversa seguindo a tendência do país de redução das referidas internações. Na apreciação por categorias de internações observou-se uma correlação direta com a tuberculose pulmonar, a angina pectoris e as doenças relacionadas ao pré-natal e parto. Os resultados sugerem que o aumento da cobertura do ESF tem contribuído para a queda nas taxas de internações por ICSAP.

Association of incident dementia with hospitalizations

CONTEXT

Dementia is associated with increased rates and often poorer outcomes of hospitalization, including worsening cognitive status. New evidence is needed to determine whether some admissions of persons with dementia might be potentially preventable.

OBJECTIVE

To determine whether dementia onset is associated with higher rates of or different reasons for hospitalization, particularly for ambulatory care-sensitive conditions (ACSCs), for which proactive outpatient care might prevent the need for a hospital stay.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective analysis of hospitalizations among 3019 participants in Adult Changes in Thought (ACT), a longitudinal cohort study of adults aged 65 years or older enrolled in an integrated health care system. All participants had no dementia at baseline and those who had a dementia diagnosis during biennial screening contributed nondementia hospitalizations until diagnosis. Automated data were used to identify all hospitalizations of all participants from time of enrollment in ACT until death, disenrollment from the health plan, or end of follow-up, whichever came first. The study period spanned February 1, 1994, to December 31, 2007.

MAIN OUTCOME MEASURES

Hospital admission rates for patients with and without dementia, for all causes, by type of admission, and for ACSCs.

RESULTS

Four hundred ninety-four individuals eventually developed dementia and 427 (86%) of these persons were admitted at least once; 2525 remained free of dementia and 1478 (59%) of those were admitted at least once. The unadjusted all-cause admission rate in the dementia group was 419 admissions per 1000 person-years vs 200 admissions per 1000 person-years in the dementia-free group. After adjustment for age, sex, and other potential confounders, the ratio of admission rates for all-cause admissions was 1.41 (95% confidence interval [CI], 1.23-1.61; P < .001), while for ACSCs, the adjusted ratio of admission rates was 1.78 (95% CI, 1.38-2.31; P < .001). Adjusted admission rates classified by body system were significantly higher in the dementia group for most categories. Adjusted admission rates for all types of ACSCs, including bacterial pneumonia, congestive heart failure, dehydration, duodenal ulcer, and urinary tract infection, were significantly higher among those with dementia.

CONCLUSION

Among our cohort aged 65 years or older, incident dementia was significantly associated with increased risk of hospitalization, including hospitalization for ACSCs.

Long-term impact of Medicare managed care on patients treated for coronary artery disease

BACKGROUND

Planned health insurance reform promises and has started to cut reimbursement to Medicare managed care (MMC) plans. If such plans provide better care, adjusting for possible better health of their enrollees, then such reimbursement changes may have unforeseen quality consequences.

OBJECTIVES

To examine whether long-term follow-up outcomes of patients who receive intensive interventional care for coronary artery disease differed by Medicare plan type.

RESEARCH DESIGN

Patient-level postdischarge outcomes were multivariate adjusted logistic functions of a patient's insurance type at time of index admission. Data were retrospective secondary percutaneous coronary intervention data from Pennsylvania with 35,417 index admissions in 2004 to 2005 and in-state follow-up hospitalizations within 12 months and in-state death within 3 years of discharge.

RESULTS

MMC insured patients had a consistently estimated 3-year survival benefit (relative risk of death 0.91; P value 0.003) compared with traditional Medicare traditional fee for service patients. Results were robust to propensity score stratification, subset analyses, and rich controls for observed confounders. Implausibly large associations (between an unmeasured confounder and both insurance status and outcomes) would have to be hypothesized to fully explain the observed survival benefit.

CONCLUSIONS

Among a large number of Pennsylvanian elderly patients, receiving a very common therapeutic procedure for highly prevalent disease, being insured with MMC was associated with a clinically meaningful long-term survival benefit. Impending health insurance reform that changes the relative attractiveness of MMC plans may have unintended consequences on outcome quality.

Is higher volume of postacute care patients associated with a lower rehospitalization rate in skilled nursing facilities?

This study determined whether higher patient volume of skilled nursing facility (SNF) care was associated with a lower hospital transfer rate. Using the nursing home Minimum Data Set and the Online Survey, Certification, and Reporting file, we assembled a national cohort of Medicare SNF postacute care admissions between January and September of 2008. Multivariable analyses based on Cox proportional hazards models found that patients admitted to high-volume SNFs (annual number of admissions in the top tertile group) showed an approximately 15% reduced risk for 30-day rehospitalization and an approximately 25% reduced risk for 90-day rehospitalization, compared with patients admitted to low-volume SNFs (annual number of admissions in the bottom tertile group, or <45). Similar patterns of volume-outcome associations were found for hospital-based and freestanding facilities separately. The inverse volume-outcome association in postacute SNF care may reflect a "practice makes perfect" effect, a "selective referral" effect, or both.

Modeling the impact of Medicare Advantage payment cuts on ambulatory care sensitive and elective hospitalizations

OBJECTIVE

To assess relationships between changes in Medicare Advantage (MA) payment rates and Medicare beneficiary hospitalizations and to simulate the effects of scheduled payment cuts on ambulatory care sensitive (ACS) and elective hospitalization rates.

DATA

State Inpatient Database discharge abstracts from Arizona, Florida, and New York merged with administrative Medicare enrollment and MA payment data.

STUDY DESIGN

Retrospective, fixed effect regression analysis of the relationship between MA payment rates and rates of ACS and elective hospitalizations among Medicare beneficiaries in counties with at least 10,000 Medicare beneficiaries and 3 percent MA penetration from 1999 to 2005.

PRINCIPAL FINDINGS

MA payment rates were negatively related to rates of ACS admissions. Simulations suggest that payment cuts could be associated with higher rates of ACS admissions. No relationship between MA payments and rates of elective hospitalizations was found.

CONCLUSIONS

Reductions in MA payment rates may result in a small increase in ACS admissions. Trends in ACS admissions among chronically ill Medicare beneficiaries should be tracked following MA payment cuts.

Hospital admissions for asthma, diabetes and COPD: is there an association with practice nurse staffing? A cross sectional study using routinely collected data

BACKGROUND

Delivering good quality primary care for patients with chronic conditions has the potential to reduce non-elective hospital admissions. Practice nurse staffing levels in England have been linked to attainment of general practice performance targets for some chronic conditions. The aim of this study was to examine whether practice nurse staffing level is similarly associated with non-elective hospital admissions in three clinical areas: asthma, Chronic Obstructive Pulmonary Disease (COPD) and diabetes.

METHODS

This observational study used cross sectional analysis of routinely collected data. Hospital admissions data for the period 2005-2006 (for asthma, COPD and diabetes) were linked with a database of practice characteristics, nurse staffing data and data on population characteristics for the same period. Statistical modelling explored the relationship between non-elective hospital admission rates for the three conditions and the list size per full time equivalent (FTE) practice nurse.

RESULTS

Higher practice nurse staffing levels were significantly associated with lower rates of admission for asthma (p < 0.001) and COPD (p < 0.001). A similar association was seen for patients with two or more admissions (p < 0.05 for asthma and p < 0.001 for COPD). For diabetes, higher practice nurse staffing level was significantly associated with higher admission rates (p < 0.05), but this association was not significant in case of patients with two or more admissions. Across all models, increasing deprivation was associated with higher admission rates for all conditions.

CONCLUSIONS

The inconsistent relationship between nurse staffing and patient outcomes across the different conditions and the fact that for diabetes the relationship between staffing and outcomes was in a different direction from the association between staffing and care quality, highlights the need to avoid making a simple causal interpretation of these findings and reduces the possible confidence in such conclusions. There is a need for more research into the organisation and delivery of diabetes care services in general practice, preferably using patient level data; in order to better understand the impact of the different staffing configurations on patient outcomes.

Trends and geographic variation of potentially avoidable hospitalizations in the veterans health-care system

The rate of hospitalizations due to ambulatory care-sensitive conditions (ACSCs) has been widely accepted as an indicator of access and quality of primary care. This study aimed to examine the trends and geographic variation of ACSC hospitalizations in US veterans health-care system, to identify factors associated with ACSC hospitalizations and to develop a quality indicator that can monitor access and effectiveness of primary care at hospital level. Using fiscal years 1997–2007 data, we found total ACSC hospitalizations per 1000 ACSC patients decreased by 58%; ACSC hospitalizations as percentage of total hospitalizations decreased 9%. However, significant geographic variations of ACSC hospitalizations remained and we found that adjustment of case-mix or confounding factors was essential in making meaningful comparisons among hospitals in a health-care system. Further, this study also reveals that low-income veterans still had higher ACSC hospitalization rates and patient travel time less than 30 minutes to the nearest VA providers was associated with fewer ACSC hospitalizations, which possess important policy implications.

Managing care? Medicare managed care and patient use of cardiologists

OBJECTIVE

To examine the impact of Medicare managed care (MMC) versus Medicare fee for service (MFFS) on stent patients' use of physicians with lower resource use and better outcomes.

DATA SOURCES/STUDY SETTING

Retrospective secondary data from 2003 through 2006 for 67,476 patients without acute myocardial infarction, staying 2 or more days in hospital, and treated by 486 physicians in Florida performing 10 or more cases per quarter.

STUDY DESIGN

Analysis was at the patient level. Multivariate logistic models estimated the probability of an MMC patient using a physician with a particular risk-adjusted profile rank with respect to hospital peers.

PRINCIPAL FINDINGS

No differences were found in usage of physicians with shorter admissions. Compared with MFFS, MMC patients were significantly less likely to use physicians whose average mortality was the lowest/lowest quartiles/below median among facility peers, and more likely to use a physician ranked below median on live discharges directly home (not needing home health care, skilled nursing care, or a subacute hospital convalescence). Similar results were found with emergency admissions, and where physicians both attended and treated.

CONCLUSIONS

Florida percutaneous coronary interventions patients insured by MMC used physicians with worse outcome profiles than those of MFFS patients. Results were not consistent with hospital care differences, physician-patient, or payor-physician selection, but they were consistent with selection of unobservably sicker members into MMC and concentration of MMC among physicians.

Using hospitalization for ambulatory care sensitive conditions to measure access to primary health care: an application of spatial structural equation modeling

Background

In data commonly used for health services research, a number of relevant variables are unobservable. These include population lifestyle and socio-economic status, physician practice behaviors, population tendency to use health care resources, and disease prevalence. These variables may be considered latent constructs of many observed variables. Using health care data from South Carolina, we show an application of spatial structural equation modeling to identify how these latent constructs are associated with access to primary health care, as measured by hospitalizations for ambulatory care sensitive conditions. We applied the confirmatory factor analysis approach, using the Bayesian paradigm, to identify the spatial distribution of these latent factors. We then applied cluster detection tools to identify counties that have a higher probability of hospitalization for each of the twelve adult ambulatory care sensitive conditions, using a multivariate approach that incorporated the correlation structure among the ambulatory care sensitive conditions into the model.

Results

For the South Carolina population ages 18 and over, we found that counties with high rates of emergency department visits also had less access to primary health care. We also observed that in those counties there are no community health centers.

Conclusion

Locating such clusters will be useful to health services researchers and health policy makers; doing so enables targeted policy interventions to efficiently improve access to primary care.

Association between community health center and rural health clinic presence and county-level hospitalization rates for ambulatory care sensitive conditions: an analysis across eight US states

Background

Federally qualified community health centers (CHCs) and rural health clinics (RHCs) are intended to provide access to care for vulnerable populations. While some research has explored the effects of CHCs on population health, little information exists regarding RHC effects. We sought to clarify the contribution that CHCs and RHCs may make to the accessibility of primary health care, as measured by county-level rates of hospitalization for ambulatory care sensitive (ACS) conditions.

Methods

We conducted an ecologic analysis of the relationship between facility presence and county-level hospitalization rates, using 2002 discharge data from eight states within the US (579 counties). Counties were categorized by facility availability: CHC(s) only, RHC(s) only, both (CHC and RHC), and neither. US Agency for Healthcare Research and Quality definitions were used to identify ACS diagnoses. Discharge rates were based on the individual's county of residence and were obtained by dividing ACS hospitalizations by the relevant county population. We calculated ACS rates separately for children, working age adults, and older individuals, and for uninsured children and working age adults. To ensure stable rates, we excluded counties having fewer than 1,000 residents in the child or working age adult categories, or 500 residents among those 65 and older. Multivariate Poisson analysis was used to calculate adjusted rate ratios.

Results

Among working age adults, rate ratio (RR) comparing ACS hospitalization rates for CHC-only counties to those of counties with neither facility was 0.86 (95% Confidence Interval, CI, 0.78–0.95). Among older adults, the rate ratio for CHC-only counties compared to counties with neither facility was 0.84 (CI 0.81–0.87); for counties with both CHC and RHC present, the RR was 0.88 (CI 0.84–0.92). No CHC/RHC effects were found for children. No effects were found on estimated hospitalization rates among uninsured populations.

Conclusion

Our results suggest that CHCs and RHCs may play a useful role in providing access to primary health care. Their presence in a county may help to limit the county's rate of hospitalization for ACS diagnoses, particularly among older people.

Secular trends in diabetes-related preventable hospitalizations in the United States, 1998-2006

OBJECTIVE

To examine secular trends in diabetes-related preventable hospitalizations among adults with diabetes in the U.S. from 1998 to 2006.

RESEARCH DESIGN AND METHODS

We used nationally representative data from the National Inpatient Sample to identify diabetes-related preventable hospitalizations. Based on the Agency for Healthcare Research and Quality's Prevention Quality Indicators, we considered that hospitalizations associated with the following four conditions were preventable: uncontrolled diabetes, short-term complications, long-term complications, and lower-extremity amputations. Estimates of the number of adults with diabetes were obtained from the National Health Interview Survey. Rates of hospitalizations among adults with diabetes were derived and tested for trends.

RESULTS

Age-adjusted rates for overall diabetes-related preventable hospitalizations per 100 adults with diabetes declined 27%, from 5.2 to 3.8 during 1998-2006 (P(trend) < 0.01). This rate decreased significantly for all but not for short-term complication (58% for uncontrolled diabetes, 37% for lower-extremity amputations, 23% for long-term complications [all P < 0.01], and 15% for the short-term complication [P = 0.18]). Stratified by age-group and condition, the decline was significant for all age-condition groups (all P < 0.05) except short-term complications (P = 0.33) and long-term complications (P = 0.08) for the age-group 18-44 years. The decrease was significant for all sex-condition combination subgroups (all P < 0.01).

CONCLUSIONS

We found a decrease in diabetes-related preventable hospitalizations in the U.S. from 1998 to 2006. This trend could reflect improvements in quality of primary care for individuals with diabetes.

Mental illness and hospitalization for ambulatory care sensitive medical conditions

BACKGROUND

Hospitalization due to ambulatory care sensitive (ACS) medical conditions is widely used as an indicator of poor primary care access and effectiveness. It is unknown whether patients with mental disorders have higher ACS admission rate, compared with patients without mental disorders.

OBJECTIVE

To compare the ACS admission pattern and its resultant hospital cost and length of stay (LOS) between medical patients with and without coexisting mental disorders.

METHODS

Using New York State hospital discharge data for 2004, we conducted a retrospective cohort study on inpatient cases who were aged 20-64 years and hospitalized due to either ACS condition or non-ACS "marker" condition. Multivariate regression was used to estimate the relative odds of ACS admissions and the incremental resource use for mentally ill patients during ACS hospitalization.

RESULTS

Inpatient cases with mental disorders (N = 38,514) were more likely than others (N = 116,798) to have ACS admission [adjusted odds ratio (AOR), 2.30; 95% confidence interval (CI), 2.17-2.43] relative to admission due to marker conditions. During ACS hospitalization, mentally ill cases showed an average incremental cost of $556 (95% CI, $340-$778), and an average incremental LOS of 0.7 days (95% CI, 0.6-0.8 days). The higher ACS admission rate and hospital resource consumption were most pronounced for those with major depression, other psychoses, and combined psychiatric and substance-abuse disorders.

CONCLUSIONS

Patients with mental disorders experience higher risk of hospitalization due to ACS medical conditions than the general population. During an ACS hospitalization, patients with mental disorders have longer length of stay and higher hospital cost than other patients.

Area-level poverty is associated with greater risk of ambulatory-care-sensitive hospitalizations in older breast cancer survivors

OBJECTIVES

To estimate the frequency of ambulatory care-sensitive hospitalizations (ACSHs) and to compare the risk of ACSH in breast cancer survivors living in high-poverty with that of those in low-poverty areas.

DESIGN

Prospective, multilevel study.

SETTING

National, population-based 1991 to 1999 National Cancer Institute Surveillance, Epidemiology, and End Results Program data linked with Medicare claims data throughout the United States.

PARTICIPANTS

Breast cancer survivors aged 66 and older.

MEASUREMENTS

ACSH was classified according to diagnosis at hospitalization. The percentage of the population living below the U.S. federal poverty line was calculated at the census-tract level. Potential confounders included demographic characteristics, comorbidity, tumor and treatment factors, and availability of medical care.

RESULTS

Of 47,643 women, 13.3% had at least one ACSH. Women who lived in high-poverty census tracts (>or=30% poverty rate) were 1.5 times (95% confidence interval (CI)=1.34-1.72) as likely to have at least one ACSH after diagnosis as women who lived in low-poverty census tracts (<10% poverty rate). After adjusting for most confounders, results remained unchanged. After adjustment for comorbidity, the hazard ratio (HR) was reduced to 1.34 (95% CI=1.18-1.52), but adjusting for all variables did not further reduce the risk of ACSH associated with poverty rate beyond adjustment for comorbidity (HR=1.37, 95% CI=1.19-1.58).

CONCLUSION

Elderly breast cancer survivors who lived in high-poverty census tracts may be at increased risk of reduced posttreatment follow-up care, preventive care, or symptom management as a result of not having adequate, timely, and high-quality ambulatory primary care as suggested by ACSH.

Quality of primary care and hospital admissions for diabetes mellitus in England

The National Health Service in England has invested substantially in recent years to improve the quality of primary care services for patients with chronic diseases such as diabetes. A key aim of this investment is to reduce associated complication rates and decrease consequent hospital admission rates. The goal of the study was to examine associations between the quality of primary care services and hospital admission rates for diabetes mellitus in England. An ecological cross-sectional study design was used. Three hundred three primary care trusts in England participated in the public reporting and performance-linked reimbursement of quality measures, including measures relevant to diabetes care. A total of 1,760,898 persons with diabetes registered with 8441 family practices in England. Hospital admission rates (total admissions for diabetes, admissions for ketoacidosis) were compared with quality of care scores, diabetes prevalence and neighborhood socio-economic status. We found a 10-fold variation across the country in total admissions for diabetes despite uniformly high scores on quality measures over the first year of the new family practitioner contract. Significant but weak inverse associations were found between primary care quality scores and hospital admission rates in patients aged 60 years and older, with a correlation coefficient of -0.21 (P < .001) between glycemic control and total admissions. Neighborhood socioeconomic status was more strongly correlated with total hospital admission rates than quality scores in patients aged 25-59 years (r = 0.58; P < .001) and 60 years and older (r = 0.45; P < .001). Quality of care scores and prevalence data were available only at the practice level rather than at the patient level. Improving the quality of primary care services may lead to modest reductions in demand for hospital services among older patients with diabetes. However, low neighborhood socioeconomic status is more strongly associated with hospital admission rates for diabetes.

[To identify primary care interventions that reduce hospitalisation of people over 65 due to ambulatory care sensitive conditions]

OBJECTIVES

To study how primary care (PC) professionals perceive the pathologies that tend to cause hospitalisation of people over 65 most frequently, and to study their consistency with the list of ACSCs (Ambulatory Care Sensitive Conditions). To identify prior PC interventions that could reduce or prevent hospitalisation due to those pathologies.

DESIGN AND METHOD

A Delphi study with PC experts from 7 health care centres in Granada, Spain, during 2005. A descriptive analysis of the consensus obtained via self-administered questionnaires.

RESULTS

The diseases that cause the bulk of admissions in people over 65 are: acute COPD, non-compensated cardiac failure, cerebro-vascular accident, and falls-traumas. The pathologies analysed form part of the list of ACSCs, with the exception of falls, listed as the fourth cause, and cancer processes, listed as the sixth cause. The hospitalisation rates that could be avoided with prompt and effective PC varies between 20% for cancer processes to 70% for non-compensated diabetes. The rate is over 50% in COPD, digestive haemorrhages, and diabetes. The key interventions for reducing hospitalisations are primary prevention care, early diagnosis, and correct treatment. Effectiveness and feasibility vary widely for each particular intervention.

CONCLUSIONS

The principal causes of hospitalisation in people over 65 are included as ACSC. Priority actions to reduce avoidable hospitalisations from PC are multi-modal interventions, the majority of which are over 50% effective and feasible.

Association between quality of primary care and hospitalization for coronary heart disease in England: national cross-sectional study

BACKGROUND

A new pay-for-performance scheme for primary care physicians was introduced in England in 2004 as part of an initiative to link the quality of primary care with physician pay.

OBJECTIVE

To investigate the association between the quality of primary care and rates of hospital admissions for coronary heart disease.

DESIGN

Ecological cross-sectional study using data from the Quality and Outcomes Framework for family practice, hospital admissions, and census data.

PARTICIPANTS

All 303 primary care trusts in England, covering approximately 50 million people.

MEASUREMENTS

Rates of elective and unplanned hospital admissions for coronary heart disease and rates of coronary angioplasty and coronary artery bypass grafting were regressed against quality-of-care measures from the Quality and Outcomes Framework, area socioeconomic scores, and disease prevalence.

RESULTS

Correlations between prevalence, area socioeconomic scores, and admission rates were generally weak. The strongest relations were seen between area socioeconomic scores and elective and unplanned hospital admissions and revascularization procedures among the age group 45-74 years. Among those aged 75 years and over, the only positive association observed was between area socioeconomic scores and unplanned hospital admissions.

CONCLUSIONS

The lack of an association between quality scores and admission rates suggests that improving the quality of primary care may not reduce demands on the hospital sector and that other factors are much better predictors of hospitalization for coronary heart disease.

Review: how do hospital organizational structure and processes affect quality of care?: a critical review of research methods

Interest in organizational contributions to the delivery of care has risen significantly in recent years. A challenge facing researchers, practitioners, and policy makers is identifying ways to improve care by improving the organizations that provide this care, given the complexity of health care organizations and the role organizations play in influencing systems of care. This article reviews the literature on the relationship between the structural characteristics and organizational processes of hospitals and quality of care. The review uses Donabedian's structure-process-outcome and level of analysis frameworks to organize the literature. The results of this review indicate that a preponderance of studies are conducted at the hospital level of analysis and are predominantly focused on the organizational structure-quality outcome relationship. The article concludes with recommendations of how health services researchers can expand their research to enhance one's understanding of the relationship between organizational characteristics and quality of care.

Preventable hospitalization and access to primary health care in an area of Southern Italy

Background

Ambulatory care-sensitive conditions (ACSC), such as hypertension, diabetes, chronic heart failure, chronic obstructive pulmonary disease and asthma, are conditions that can be managed with timely and effective outpatient care reducing the need of hospitalization. Avoidable hospitalizations for ACSC have been used to assess access, quality and performance of the primary care delivery system. The aims of this study were to quantify the proportion of avoidable hospital admissions for ACSCs, to identify the related patient's socio-demographic profile and health conditions, to assess the relationship between the primary care access characteristics and preventable hospitalizations, and the usefulness of avoidable hospitalizations for ACSCs to monitor the effectiveness of primary health care.

Methods

A random sample of 520 medical records of patients admitted to medical wards (Cardiology, Internal Medicine, Pneumology, Geriatrics) of a non-teaching acute care 717-bed hospital located in Catanzaro (Italy) were reviewed.

Results

A total of 31.5% of the hospitalizations in the sample were judged to be preventable. Of these, 40% were for congestive heart failure, 23.2% for chronic obstructive pulmonary disease, 13.5% for angina without procedure, 8.4% for hypertension, and 7.1% for bacterial pneumonia. Preventable hospitalizations were significantly associated to age and sex since they were higher in older patients and in males. The proportion of patients who had a preventable hospitalization significantly increased with regard to the number of hospital admissions in the previous year and to the number of patients for each primary care physician (PCP), with lower number of PCP accesses and PCP medical visits in the previous year, with less satisfaction about PCP health services, and, finally, with worse self-reported health status and shorter length of hospital stay.

Conclusion

The findings from this study add to the evidence and the urgency of developing and implementing effective interventions to improve delivery of health care at the community level and provided support to the usefulness of avoidable hospitalizations for ACSCs to monitor this process.

Timeliness and access to healthcare services via telemedicine for adolescents in state correctional facilities

PURPOSE

The aim of this study was to examine the effectiveness of a telemedicine program in improving timeliness of and access to healthcare services in adolescent correctional facilities.

METHOD

This study is a pre/post quasi-experimental design comparing time to treatment and healthcare use in the year preceding and the 2 years after the implementation of a telemedicine program in four facilities housing adolescents from 12 to 19. Timeliness of care is measured by time from referral to date of service (for behavioral healthcare only). Access to care is measured by use of outpatient care, emergency department (ED) visits, and inpatient visits.

RESULTS

Two of the four state correctional facilities had a significant decrease (24%) in time from referral to treatment after the implementation of the telemedicine intervention. The facilities not showing significant improvements in timeliness experienced difficulty implementing the telemedicine program. The telemedicine program was also associated with significant improvements in access to care. Outpatient visits increased by 40% in the 2 years after implementation of telemedicine. For each 1% increase in telemedicine usage, outpatient visits increased by 1%, whereas emergency room visits decreased by 7%.

CONCLUSIONS

Telemedicine can have a positive impact on timeliness of and access to care for youth in correctional facilities.

Potentially avoidable hospitalizations for COPD and pneumonia: the role of physician and practice characteristics

BACKGROUND

Hospitalizations for bacterial pneumonia and chronic obstructive pulmonary disease (COPD) occur frequently, but many are potentially avoidable.

OBJECTIVE

To examine associations between elderly patients' usual physician and practice characteristics, and the risk of hospitalization for bacterial pneumonia and COPD.

RESEARCH DESIGN

Time-to-event analysis of Medicare claims from 2000 (baseline year) through 2001-2002 (follow-up years) for beneficiaries whose usual physician participated in the 2000-2001 Community Tracking Study Physician Survey.

SUBJECTS

A total of 509,613 patients and 5764 physicians for pneumonia hospitalizations; subset of 91,318 beneficiaries with an antecedent diagnosis of COPD and 5074 physicians for COPD hospitalizations.

MEASURES

Hospitalizations for bacterial pneumonia or COPD occurring in 2001-2002.

RESULTS

Beneficiaries whose usual physician had been in practice for >10 years (vs. <or=10 years) were at lower risk for both pneumonia (AHR [adjusted hazard ratio] 0.88, 95% CL [confidence limits] 0.82-0.94, and COPD hospitalization (AHR 0.87, 95% CL 0.80-0.96). Risk of hospitalization for COPD was lower among beneficiaries whose usual physician reported that clinical practice guidelines had an important effect, compared with those reporting relatively little impact, on their clinical practice (AHR 0.88, 95% CL 0.80-0.96). Patients had higher risk of both types of hospitalizations if their physician's practice had >5% Medicaid revenue (vs. 0-5%, P < 0.0001), or reported more (vs. less) difficulty securing ancillary services (P < 0.01 for bacterial pneumonia and P = 0.05 for COPD). Patient socioeconomic status, previous respiratory hospitalizations, and comorbidities had the strongest associations with hospitalization.

CONCLUSIONS

Given that physicians who report limited access to ancillary services and high Medicaid case volume have patients who experience higher rates of admission for COPD and pneumonia, additional resources and quality improvement interventions targeting these providers should be priorities.

The effect of medicare health maintenance organizations on hospitalization rates for ambulatory care-sensitive conditions

OBJECTIVE

The objective of this study was to estimate the effect of Medicare Health Maintenance Organization (HMO) enrollment on hospitalization rates and total inpatient days for ambulatory care-sensitive conditions (ACSCs) after controlling for selection.

RESEARCH DESIGN

Simultaneous equations using a discrete factor selection model are used to estimate the probability of HMO enrollment, hospitalization rates, and total inpatient days for ACSCs.

SUBJECTS

Enrollment data on Medicare beneficiaries in California were linked to hospital discharge data from the California Office of Statewide Health Planning and Development for January through December 1996. The following beneficiaries were excluded: 1) end-stage renal disease, 2) under 65 years of age, 3) not covered by both Medicare Part A and Part B, 4) switched between HMOs and fee-for-service (FFS), and 5) switched between HMOs. The sample was stratified by age, gender, race, county, disability, Medicaid eligibility, HMO status, and death. A 2% random sample from the 4 California counties with the largest Medicare enrollment yielded 10,448 HMO enrollees and 11,803 FFS beneficiaries.

RESULTS

Using a discrete factor selection model, we estimated the rate of ACSC hospitalizations among FFS beneficiaries would decline from 51.2 to 44.2 per 1000 if all FFS beneficiaries joined an HMO. Similarly, the mean total inpatient days for ACSC hospitalizations would be reduced from 7.5 days to 5.1 days if all FFS beneficiaries joined an HMO.

CONCLUSIONS

After controlling for selection, Medicare HMO enrollees have lower hospitalization rates and fewer total inpatient days for 15 ACSCs than Medicare FFS beneficiaries. These findings suggest selection of healthier beneficiaries into HMOs does not completely explain their lower rates of ACSC hospitalization.

Accuracy of Medicaid Payer Coding in Hospital Patient Discharge Data

BACKGROUND

Ambulatory care-sensitive hospitalization rates derived from hospital discharge data have been used to compare ambulatory care across insurance and delivery system groups.

OBJECTIVE

We sought to quantify the impact of coding inaccuracies in hospital discharge data on counts of hospitalizations for ambulatory care-sensitive conditions among Medicaid beneficiaries.

METHODS

This was a cross-sectional comparison of administrative databases of all California Medicaid beneficiaries younger than 65 years of age. We compared the number of hospitalizations that were attributed to Medicaid beneficiaries in California's hospital discharge data for 1994 to 1999 with the number derived from a file that linked hospital discharge data with the Medicaid eligibility file.

RESULTS

Hospital discharge data undercounted 28.2% of hospitalizations for ambulatory care-sensitive conditions among Medicaid beneficiaries and overcounted 13.4% of such admissions among non-Medicaid beneficiaries. Approximately 5% of hospitalizations for ambulatory care-sensitive conditions captured as Medicaid admissions in routine hospital discharge data were among patients who gained Medicaid coverage as a result of the hospitalization. Patients who acquire Medicaid coverage as a result of a hospitalization are much more likely to be placed into Medicaid fee for service rather than Medicaid managed care which biases comparisons of these 2 delivery models.

CONCLUSION

Caution should be used in the interpretation of Medicaid hospitalization rates as calculated from routine hospital discharge data. State agencies that provide hospital discharge data should consider the opportunity to improve the evaluation of Medicaid services by linking hospital discharge data with Medicaid enrollment files.

Do Increases in the Market Share of Managed Care Influence Quality of Cancer Care in the Fee-For-Service Sector?

BACKGROUND

Increases in the market share of managed care in an area are associated with decreases in expenditures in the fee-for-service sector (i.e., a spillover effect). Given concerns that these decreases in expenditures result from reductions in necessary care, we examined associations between increases in managed care market share and changes in the quality of care delivered to cancer patients in the fee-for-service sector.

METHODS

We studied a population-based sample of fee-for-service Medicare beneficiaries aged 66 years or older who were diagnosed with breast (N = 41,394) or colorectal (N = 48,027) cancer during 1993-1999. We used fixed effects regression analysis of SEER cancer registry and Medicare claims data to assess whether county-level increases in the market share of managed care over time were associated with the quality of cancer care. All statistical tests were two-sided.

RESULTS

Increases in the market share of managed care were not associated with most quality indicators, including receipt of surveillance mammography after diagnosis for patients with breast cancer (P = .83), receipt of radiation after breast-conserving surgery among women who underwent breast-conserving surgery (P = .16), receipt of adjuvant chemotherapy for patients with stage III colorectal cancer (P = .94), or surveillance colonoscopy after treatment for colorectal cancer (P = .39). Increases in the market share of managed care were associated with increased rates of surveillance carcinoembryonic antigen testing for colorectal cancer patients (P = .001).

CONCLUSIONS

Increases in managed care market share had limited or no effect on the quality of care for cancer patients. Concerns that increases in managed care would have large negative spillover effects on the quality of cancer care appear to be unfounded; however, the potential for managed care to stimulate improved quality throughout the medical care system have not yet been realized.