Do market-level hospital and physician resources affect small area variation in hospital use?

Impact of health spending on hospitalization rates in Baltic countries: a comparative analysis

INTRODUCTION

This study examines the association between healthcare indicators and hospitalization rates in three high-income European countries, namely Estonia, Latvia, and Lithuania, from 2015 to 2020.

METHOD

We used a sex-stratified generalized additive model (GAM) to investigate the impact of select healthcare indicators on hospitalization rates, adjusted by general economic status-i.e., gross domestic product (GDP) per capita.

RESULTS

Our findings indicate a consistent decline in hospitalization rates over time for all three countries. The proportion of health expenditure spent on hospitals, the number of physicians and nurses, and hospital beds were not statistically significantly associated with hospitalization rates. However, changes in the number of employed medical doctors per 10,000 population were statistically significantly associated with changes of hospitalization rates in the same direction, with the effect being stronger for males. Additionally, higher GDP per capita was associated with increased hospitalization rates for both males and females in all three countries and in all models.

CONCLUSIONS

The relationship between healthcare spending and declining hospitalization rates was not statistically significant, suggesting that the healthcare systems may be shifting towards primary care, outpatient care, and on prevention efforts.

Unique patterns of healthcare utilization following the opening of the Samson Assuta Ashdod University Hospital

Our aim was to examine the influence of the market entry of Samson Assuta Ashdod University Hospital on community and hospital-based healthcare utilization (HCU). A retrospective study was conducted among Maccabi Health Services enrollees in the regions of Ashdod (n = 94,575) and Netanya (control group, n = 80,200) before and after this market entry. Based on difference-in-differences framework, we examined the change in HCU of Ashdod region's enrollees compared to the control group and following the market entry using multivariable generalized estimating equations models. Our results revealed that, as hypothesized, after the market entry and compared to the control group, there was a 4% increase in specialists visits not requiring referral (RR = 1.04, 95% CI 1.03-1.06, p < 0.001), a 4% increase in MRI and CT scans (RR = 1.04, 95% CI 1.01-1.08, p = 0.022), and a 33% increase in emergency room visits (RR = 1.33, 95% CI 1.29-1.38, p < 0.001). Unexpectedly, no changes were observed in the number of hospital admissions (RR = 1.05, 95% CI 0.97-1.14, p = 0.250), and hospitalization days (RR = 0.99, 95% CI 0.94-1.04, p = 0.668). Moreover, and unexpectedly, there was a 1% decrease in primary care physician visits (RR = 0.99, 95% CI 0.98-1.00, p = 0.002), a 11% decrease in specialists visits requiring a referral (RR = 0.89, 95% CI 0.86-0.91, p < 0.001), and a 42% decrease in elective surgeries (RR = 0.58, 95% CI 0.55-0.60, p < 0.001). We conclude that this market entry was not translated to an increase in utilization of all services. The unique model of maintaining the continuity of care that was adopted by the hospital and patients' loyalty may led to the unique inter-relationship between the hospital and community care.

Comparing methods of grouping hospitals

OBJECTIVE

To compare the performance of widely used approaches for defining groups of hospitals and a new approach based on network analysis of shared patient volume.

STUDY SETTING

Non-federal acute care hospitals in the United States.

STUDY DESIGN

We assessed the measurement properties of four methods of grouping hospitals: hospital referral regions (HRRs), metropolitan statistical areas (MSAs), core-based statistical areas (CBSAs), and community detection algorithms (CDAs).

DATA EXTRACTION METHODS

We combined data from the 2014 American Hospital Association Annual Survey, the Census Bureau, the Dartmouth Atlas, and Medicare data on interhospital patient travel patterns. We then evaluated the distinctiveness of each grouping, reliability over time, and generalizability across populations.

PRINCIPLE FINDINGS

Hospital groups defined by CDAs were the most distinctive (modularity = 0.86 compared to 0.75 for HRRs and 0.83 for MSAs; 0.72 for CBSA), were reliable to alternative specifications, and had greater generalizability than HRRs, MSAs, or CBSAs. CDAs had lower reliability over time than MSAs or CBSAs (normalized mutual information between 2012 and 2014 CDAs = 0.93).

CONCLUSIONS

Community detection algorithm-defined hospital groups offer high validity, reliability to different specifications, and generalizability to many uses when compared to approaches in widespread use today. They may, therefore, offer a better choice for efforts seeking to analyze the behaviors and dynamics of groups of hospitals. Measures of modularity, shared information, inclusivity, and shared behavior can be used to evaluate different approaches to grouping providers.

Do more hospital beds lead to higher hospitalization rates? a spatial examination of Roemer's Law

BACKGROUND

Roemer's Law, a widely cited principle in health care policy, states that hospital beds that are built tend to be used. This simple but powerful expression has been invoked to justify Certificate of Need regulation of hospital beds in an effort to contain health care costs. Despite its influence, a surprisingly small body of empirical evidence supports its content. Furthermore, known geographic factors influencing health services use and the spatial structure of the relationship between hospital bed availability and hospitalization rates have not been sufficiently explored in past examinations of Roemer's Law. We pose the question, "Accounting for space in health care access and use, is there an observable association between the availability of hospital beds and hospital utilization?"

METHODS

We employ an ecological research design based upon the Anderson behavioral model of health care utilization. This conceptual model is implemented in an explicitly spatial context. The effect of hospital bed availability on the utilization of hospital services is evaluated, accounting for spatial structure and controlling for other known determinants of hospital utilization. The stability of this relationship is explored by testing across numerous geographic scales of analysis. The case study comprises an entire state system of hospitals and population, evaluating over one million inpatient admissions.

RESULTS

We find compelling evidence that a positive, statistically significant relationship exists between hospital bed availability and inpatient hospitalization rates. Additionally, the observed relationship is invariant with changes in the geographic scale of analysis.

CONCLUSIONS

This study provides evidence for the effects of Roemer's Law, thus suggesting that variations in hospitalization rates have origins in the availability of hospital beds. This relationship is found to be robust across geographic scales of analysis. These findings suggest continued regulation of hospital bed supply to assist in controlling hospital utilization is justified.

Environmental factors associated with primary care access among urban older adults

Disparities in primary care access and quality impede optimal chronic illness prevention and management for older adults. Although research has shown associations between neighborhood attributes and health, little is known about how these factors - in particular, the primary care infrastructure - inform older adults' primary care use. Using geographic data on primary care physician supply and surveys from 1260 senior center attendees in New York City, we examined factors that facilitate and hinder primary care use for individuals living in service areas with different supply levels. Supply quartiles varied in primary care use (visit within the past 12 months), racial and socio-economic composition, and perceived neighborhood safety and social cohesion. Primary care use did not differ significantly after controlling for compositional factors. Individuals who used a community clinic or hospital outpatient department for most of their care were less likely to have had a primary care visit than those who used a private doctor's office. Stratified multivariate models showed that within the lowest-supply quartile, public transit users had a higher odds of primary care use than non-transit users. Moreover, a higher score on the perceived neighborhood social cohesion scale was associated with a higher odds of primary care use. Within the second-lowest quartile, nonwhites had a lower odds of primary care use compared to whites. Different patterns of disadvantage in primary care access exist that may be associated with - but not fully explained by - local primary care supply. In lower-supply areas, racial disparities and inadequate primary care infrastructure hinder access to care. However, accessibility and elder-friendliness of public transit, as well as efforts to improve social cohesion and support, may facilitate primary care access for individuals living in low-supply areas.

Journey toward a patient-centered medical home: readiness for change in primary care practices

CONTEXT

Information is limited regarding the readiness of primary care practices to make the transformational changes necessary to implement the patient-centered medical home (PCMH) model. Using comparative, qualitative data, we provide practical guidelines for assessing and increasing readiness for PCMH implementation.

METHODS

We used a comparative case study design to assess primary care practices' readiness for PCMH implementation in sixteen practices from twelve different physician organizations in Michigan. Two major components of organizational readiness, motivation and capability, were assessed. We interviewed eight practice teams with higher PCMH scores and eight with lower PCMH scores, along with the leaders of the physician organizations of these practices, yielding sixty-six semistructured interviews.

FINDINGS

The respondents from the higher and lower PCMH scoring practices reported different motivations and capabilities for pursuing PCMH. Their motivations pertained to the perceived value of PCMH, financial incentives, understanding of specific PCMH requirements, and overall commitment to change. Capabilities that were discussed included the time demands of implementation, the difficulty of changing patients' behavior, and the challenges of adopting health information technology. Enhancing the implementation of PCMH within practices included taking an incremental approach, using data, building a team and defining roles of its members, and meeting regularly to discuss the implementation. The respondents valued external organizational support, regardless of its source.

CONCLUSIONS

The respondents from the higher and lower PCMH scoring practices commented on similar aspects of readiness-motivation and capability-but offered very different views of them. Our findings suggest the importance of understanding practice perceptions of the motivations for PCMH and the capability to undertake change. While this study identified some initial approaches that physician organizations and practices have used to prepare for practice redesign, we need much more information about their effectiveness.

Health services research methods: tools for nurse leaders

A political competency for leaders is to effectively articulate the evidence behind management best practices. Evidence-based practice requires special skills from the nurse leader, many of which are found in health services research (HSR) methods. This review presents approaches associated with HSR, which can be used by nurse managers for the benefit of their units. HSR methods reviewed are cost analyses, small area analysis, geographic information systems, use of existing databases, quality of care measures, and risk adjustment. This review examines the kind of evidence various HSR methods provide, as well as examples of their use and resources needed to apply them.

The effects of HMO penetration on preventable hospitalizations

OBJECTIVE

To examine the effects of health maintenance organization (HMO) penetration on preventable hospitalizations.

DATA SOURCE

Hospital inpatient discharge abstracts for 932 urban counties in 22 states from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID), hospital data from American Hospital Association (AHA) annual survey, and population characteristics and health care capacity data from Health Resources and Services Administration (HRSA) Area Resource File (ARF) for 1998.

METHODS

Preventable hospitalizations due to 14 ambulatory care sensitive conditions were identified using the Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators. Multiple regressions were used to determine the association between preventable hospitalizations and HMO penetration while controlling for demographic and socioeconomic characteristics and health care capacity of the counties.

PRINCIPAL FINDINGS

A 10 percent increase in HMO penetration was associated with a 3.8 percent decrease in preventable hospitalizations (95 percent confidence interval, 2.0 percent-5.6 percent). Advanced age, female gender, poor health, poverty, more hospital beds, and fewer primary care physicians per capita were significantly associated with more preventable hospitalizations.

CONCLUSIONS

Our study suggests that HMO penetration has significant effects in reducing preventable hospitalizations due to some ambulatory care sensitive conditions.

Do pediatric hospitalizations have a unique geography?

BACKGROUND

In the U.S. small-area health services research studies are often based on the hospital service areas (HSAs) defined by the Dartmouth Atlas of Healthcare project. These areas are based on the geographic origins of Medicare Part A hospital patients, the great majority of whom are seniors. It is reasonable to question whether the geographic system so defined is appropriate for health services research for all ages, particularly for children, who have a very different system of healthcare financing and provision in the U.S.

METHODS

This article assesses the need for a unique system of HSAs to support pediatric small-area analyses. It is a cross-sectional analysis of California hospital discharges for two age groups - non-newborns 0-17 years old, and seniors. The measure of interest was index of localization, which is the percentage of HSA residents hospitalized in their home HSA. Indices were computed separately for each age group, and index agreement was assessed for 219 of the state's HSAs. We examined the effect of local pediatric inpatient volume and pediatric inpatient resources on the divergence of the age group indices. We also created a new system of HSAs based solely on pediatric patient origins, and visually compared maps of the traditional and the new system.

RESULTS

The mean localization index for pediatric discharges was 20 percentage points lower than for Medicare cases, indicating a poorer fit of the traditional geographic system for children. The volume of pediatric cases did not appear to be associated with the magnitude of index divergence between the two age groups. Pediatric medical and surgical case subgroups gave very similar results, and both groups differed substantially from seniors. Location of children's hospitals and local pediatric bed supply were associated with Medicare-pediatric divergence. There was little visual correspondence between the maps of traditional and pediatric-specific HSAs.

CONCLUSION

Children and seniors have significantly different geographic patterns of hospitalization in California. Medicare-based HSAs may not be appropriate for all age groups and service types throughout the U.S.

A strategy to improve priority setting in health care institutions

Priority setting (also known as resource allocation or rationing) occurs at every level of every health system and is one of the most significant health care policy questions of the 21st century. Because it is so prevalent and context specific, improving priority setting in a health system entails improving it in the institutions that constitute the system. But, how should this be done? Normative approaches are necessary because they help identify key values that clarify policy choices, but insufficient because different approaches lead to different conclusions and there is no consensus about which ones are correct, and they are too abstract to be directly used in actual decision making. Empirical approaches are necessary because they help to identify what is being done and what can be done, but are insufficient because they cannot identify what should be done. Moreover, to be really helpful, an improvement strategy must utilize rigorous research methods that are able to analyze and capture experience so that past problems are corrected and lessons can be shared with others. Therefore, a constructive, practical and accessible improvement strategy must be research-based and combine both normative and empirical methods. In this paper we propose a research-based improvement strategy that involves combining three linked methods: case study research to describe priority setting; interdisciplinary research to evaluate the description using an ethical framework; and action research to improve priority setting. This describe-evaluate-improve strategy is a generalizable method that can be used in different health care institutions to improve priority setting in that context.

Access to medical care for low-income persons: how do communities make a difference?

This paper considers the impact of community-level variables over and above the effects of individual characteristics on healthcare access of low-income children and adults residing in large metropolitan statistical areas (MSAs). Further, we rank MSAs' performance in promoting healthcare access for their low-income populations. The individual-level data come from the 1995 and 1996 National Health Interview Survey (NHIS). The community-level variables are derived from multiple public-use data sources. The outcome variable is whether low-income individuals received a physician visit in the past twelve months. The proportion receiving a visit by MSA varied from 63% to 99% for children and from 62% to 83% for adults. Access was better for individuals with health insurance and a regular source of care and for those living in communities with more federally-funded health centers. Children residing in MSA.

Regional variation in medical systems data: influences on upcoding

Attempts to minimize over-reimbursement to health care providers have resulted in highly publicized prosecution of health care providers and provider organizations. Such prosecution has led many to propose that upcoding influences exerted upon health care information managers would largely disappear, both within and external to the provider organization. This study seeks to examine the degree of both intra- and extraorganizational influences on reimbursement optimizing practices through a national survey of accredited health information managers. Results suggest that significant upcoding influence continues to occur within organizations, despite the risk of severe counterfraud penalties designed to eliminate such practices. We examine variation in intra- and extraorganizational optimizing influences, finding such influence was found to exist both within and external to the provider organization. We also examine how optimization influences vary across demographic, practice setting, and market characteristics. We find significant variation in influence across practice settings and managed care markets. Ramifications for reimbursement assessment are discussed.

Extent and sources of geographic variation in Medicare end-stage renal disease expenditures

Geographic variations in practices and expenditures have been widely documented, leading to concerns that care in some regions is clinically suboptimal and/or economically inefficient. Our objectives are to determine the extent and sources of geographic variation in Medicare expenditures per patient with end-stage renal disease (ESRD) per year. The study population included all patients with ESRD with Medicare as primary payer during 1997 (n = 284,670). Medicare expenditures were summarized at the hospital referral region (HRR) level. Using regression analysis, we estimated the relationship between expenditures and demographics, case mix, dialysis provider characteristics, distribution of patients across renal replacement therapy modalities, standardized hospitalization ratios, and healthcare wages. Spending per patient-year varied threefold across HRRs, ranging from $17,791 to $59,025 (mean, $38,966 +/- $6,774 [SD]). The regression equation explained 80% of this variation. Although several demographic and case-mix indicators that have been related to spending at the individual level were statistically significant predictors of spending at the HRR level, they did not show enough geographic variation to explain a large fraction of spending variation. Rather, patient distributions across renal replacement modalities, hospitalization patterns, and healthcare wages were the most powerful predictors of spending. Compared with Medicare generally, both the mean and SD of ESRD expenditures were approximately seven times larger. The substantial geographic variability in expenditures for patients with ESRD indicates the potential for improving efficiency and quality of care. Interventions designed to increase transplantation rates, ensure access to peritoneal dialysis, and reduce hospitalization appear most promising.

Hospitalization rates as indicators of access to primary care

Variations in hospitalization rates for selected conditions are being used as indicators of the effectiveness of primary care in small areas. Are these rates actually sensitive to problems in local primary care systems? This study examines the relationship between ambulatory care sensitive condition (ACSC) hospital admission rates and primary care resources and the economic conditions in primary care market areas in North Carolina in 1994. The data show a high degree of correlation between the rates and income but not primary care resources. The distribution of rates did agree with expert assessments of the location of places with poor access to health services. The data confirm that access to effective primary care reflected in lower rates of ACSC admissions is a function of more than the professional resources available in a market area. The solution to reducing disparities in health status may not lie within the health system.

[Variation in medical practice. Apropos of the use of CAT and NMR in INSALUD]

OBJECTIVE

In this study the variability on the utilization of nuclear magnetic resonance (NMR) and computerized tomography (CT) scan among hospitals and provinces in the INSALUD (Spanish National Health System) is evaluated as well as the role of the availability of resources in the variability.

METHOD

Data on availability of resources, its use and the reference population for each hospital were obtained from the Specialized Care Information System (SIAE) for the years 1996-1997. The units of analysis were the hospitals and the provinces in the INSALUD territory. The independent variables were the ratio of technologies and professional per inhabitant. Also the waiting list and the economical level of the province were used. Data analysis included the extremal quotient and multiple linear regression.

RESULTS

The ratio of the highest to lowest rate of CT and NMR use is 15 and 27 among hospitals and 3 and 4 among provinces, respectively. The number of neurosurgeons, number of CT apparatus, waiting list for CT and rate of NMR use, all standardized per population, explains 61% of CT variability among hospitals. Among provinces, the number of CT apparatus explains 31% of all variability. For NMR use among hospitals, the number of neurosurgeons, number of orthopedic surgeons and CT use, all variables standardized per population, explains 42% of variability. The amount of equipment is not associated with NMR rate among provinces.

CONCLUSIONS

The variation found in the INSALUD territory for the two procedures is high and ecologically associated to the availability of resources. It would be convenient to perform an observational study to confirm the findings and evaluate the possible contribution of inappropriate use to the variation.