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

Hospital Capital Assets, Community Health, and the Utilization and Cost of Inpatient Care: A Population-Based Study of US Counties

BACKGROUND

The provision of high-quality hospital care requires adequate space, buildings, and equipment, although redundant infrastructure could also drive service overprovision.

OBJECTIVE

To explore the distribution of physical hospital resources-that is, capital assets-in the United States; its correlation with indicators of community health and nonhealth factors; and the association between hospital capital density and regional hospital utilization and costs.

RESEARCH DESIGN

We created a dataset of n=1733 US counties by analyzing the 2019 Medicare Cost Reports; 2019 State Inpatient Database Community Inpatient Statistics; 2020-2021 Area Health Resource File; 2016-2020 American Community Survey; 2022 PLACES; and 2019 CDC WONDER. We first calculated aggregate hospital capital assets and investment at the county level. Next, we examined the correlation between community's medical need (eg, chronic disease prevalence), ability to pay (eg, insurance), and supply factors with 4 metrics of capital availability. Finally, we examined the association between capital assets and hospital utilization/costs, adjusted for confounders.

RESULTS

Counties with older and sicker populations generally had less aggregate hospital capital per capita, per hospital day, and per hospital discharge, while counties with higher income or insurance coverage had more hospital capital. In linear regressions controlling for medical need and ability to pay, capital assets were associated with greater hospital utilization and costs, for example, an additional $1000 in capital assets per capita was associated with 73 additional discharges per 100,000 population (95% CI: 45-102) and $19 in spending per bed day (95% CI: 12-26).

CONCLUSIONS

The level of investment in hospitals is linked to community wealth but not population health needs, and may drive use and costs.

Identification of factors associated with opioid-related and hepatitis C virus-related hospitalisations at the ZIP code area level in the USA: an ecological and modelling study

BACKGROUND

Opioid overdose and related diseases remain a growing public health crisis in the USA. Identifying sociostructural and other contextual factors associated with adverse health outcomes is needed to improve prediction models to inform policy and interventions. We aimed to identify high-risk communities for targeted delivery of screening and prevention interventions for opioid use disorder and hepatitis C virus (HCV).

METHODS

In this ecological and modelling study, we fit mixed-effects negative binomial regression models to identify factors associated with, and predict, opioid-related and HCV-related hospitalisations for ZIP code tabulation areas (ZCTAs) in South Carolina, USA. All individuals aged 18 years or older living in South Carolina from Jan 1, 2016, to Dec 31, 2021, were included. Data on opioid-related and HCV-related hospitalisations, as well as data on additional individual-level variables, were collected from medical claims records, which were obtained from the South Carolina Revenue and Fiscal Affairs Office. Demographic and socioeconomic variables were obtained from the United States Census Bureau (American Community Survey, 2021) with additional structural health-care barrier data obtained from South Carolina's Center for Rural and Primary Health Care, and the American Hospital Directory.

FINDINGS

Between Jan 1, 2016, and Dec 31, 2021, 41 691 individuals were hospitalised for opioid misuse and 26 860 were hospitalised for HCV. There were a median of 80 (IQR 24-213) opioid-related hospitalisations and 61 (21-196) HCV-related hospitalisations per ZCTA. A standard deviation increase in ZCTA-level uninsured rate (relative risk 1·24 [95% CI 1·17-1·31]), poverty rate (1·24 [1·17-1·31]), mortality (1·18 [1·12-1·25]), and social vulnerability index (1·17 [1·10-1·24]) was significantly associated with increased combined opioid-related and HCV-related hospitalisation rates. A standard deviation increase in ZCTA-level income (0·79 [0·75-0·84]) and unemployment rate (0·87 [0·82-0·93]) was significantly associated with decreased combined opioid-related and HCV-related hospitalisations. Using 2016-20 hospitalisations as training data, our models predicted ZCTA-level opioid-related hospitalisations in 2021 with a median of 80·4% (IQR 66·8-91·1) accuracy and HCV-related hospitalisations in 2021 with a median of 75·2% (61·2-87·7) accuracy. Several underserved high-risk ZCTAs were identified for delivery of targeted interventions.

INTERPRETATION

Our results suggest that individuals from economically disadvantaged and medically under-resourced communities are more likely to have an opioid-related or HCV-related hospitalisation. In conjunction with hospitalisation forecasts, our results could be used to identify and prioritise high-risk, underserved communities for delivery of field-level interventions.

FUNDING

South Carolina Center for Rural and Primary Healthcare, National Institute on Drug Abuse, and National Library of Medicine.

Healthcare utilization patterns of individuals with depression after national policy to increase the mental health workforce in primary care: a data linkage study

BACKGROUND

The deployment of the mental health nurse, an additional healthcare provider for individuals in need of mental healthcare in Dutch general practices, was expected to substitute treatments from general practitioners and providers in basic and specialized mental healthcare (psychologists, psychotherapists, psychiatrists, etc.). The goal of this study was to investigate the extent to which the degree of mental health nurse deployment in general practices is associated with healthcare utilization patterns of individuals with depression.

METHODS

We combined national health insurers' claims data with electronic health records from general practices. Healthcare utilization patterns of individuals with depression between 2014 and 2019 (N = 31,873) were analysed. The changes in the proportion of individuals treated after depression onset were assessed in association with the degree of mental health nurse deployment in general practices.

RESULTS

The proportion of individuals with depression treated by the GP, in basic and specialized mental healthcare was lower in individuals in practices with high mental health nurse deployment. While the association between mental health nurse deployment and consultation in basic mental healthcare was smaller for individuals who depleted their deductibles, the association was still significant. Treatment volume of general practitioners was also lower in practices with higher levels of mental health nurse deployment.

CONCLUSION

Individuals receiving care at a general practice with a higher degree of mental health nurse deployment have lower odds of being treated by mental healthcare providers in other healthcare settings. More research is needed to evaluate to what extent substitution of care from specialized mental healthcare towards general practices might be associated with waiting times for specialized mental healthcare.

Geographic variation in inpatient medical expenditure among older adults aged 75 years and above in Japan: a three-level multilevel analysis of nationwide data

Introduction

In Japan, a country at the forefront of population ageing, significant geographic variation has been observed in inpatient medical expenditures for older adults aged 75 and above (IMEP75), both at the small- and large-area levels. However, our understanding of how different levels of administrative (geographic) units contribute to the overall geographic disparities remains incomplete. Thus, this study aimed to assess the degree to which geographic variation in IMEP75 can be attributed to municipality-, secondary medical area (SMA)-, and prefecture-level characteristics, and identify key factors associated with IMEP75.

Methods

Using nationwide aggregate health insurance claims data of municipalities for the period of April 2018 to March 2019, we conducted a multilevel linear regression analysis with three levels: municipalities, SMA, and prefectures. The contribution of municipality-, SMA-, and prefecture-level correlates to the overall geographic variation in IMEP75 was evaluated using the proportional change in variance across six constructed models. The effects of individual factors on IMEP75 in the multilevel models were assessed by estimating beta coefficients with their 95% confidence intervals.

Results

We analysed data of 1,888 municipalities, 344 SMAs, and 47 prefectures. The availability of healthcare resources at the SMA-level and broader regions to which prefectures belonged together explained 57.3% of the overall geographic variance in IMEP75, whereas the effects of factors influencing healthcare demands at the municipality-level were relatively minor, contributing an additional explanatory power of 2.5%. Factors related to long-term and end-of-life care needs and provision such as the proportion of older adults certified as needing long-term care, long-term care benefit expenditure per recipient, and the availability of hospital beds for psychiatric and chronic care and end-of-life care support at home were associated with IMEP75.

Conclusion

To ameliorate the geographic variation in IMEP75 in Japan, the reallocation of healthcare resources across SMAs should be considered, and drivers of broader regional disparities need to be further explored. Moreover, healthcare systems for older adults must integrate an infrastructure of efficient long-term care and end-of-life care delivery outside hospitals to alleviate the burden on inpatient care.

Treatable mortality and health care related factors across European countries

Introduction

Despite the improvements in European health systems, a large number of premature deaths are attributable to treatable mortality. Men make up the majority of these deaths, with a significant gap existing between women and men's treatable mortality rate in the EU.

Aim

This study aims to identify the healthcare-related factors, including health expenditures, human and physical resources, and hospital services use associated with treatable mortality in women and men across European countries during the period 2011-2019.

Methods

We use Eurostat data for 28 EU countries in the period 2011-2019. We estimate a panel data linear regression with country fixed effects and quantile linear regression for men and women.

Results

The results found (i) differences in drivers for male and female treatable mortality, but common drivers hold the same direction for both sexes; (ii) favorable drivers are GDP per capita, health expenditures, number of physicians per capita, and (only for men) the average length of a hospital stay, (iii) unfavorable drivers are nurses and beds per capita, although nurses are not significant for explaining female mortality.

Conclusion

Policy recommendations may arise that involve an improvement in hospital bed management and the design of more specific policies aimed at healthcare professionals.

Hospital-Level NICU Capacity, Utilization, and 30-Day Outcomes in Texas

Importance

Risk-adjusted neonatal intensive care unit (NICU) utilization and outcomes vary markedly across regions and hospitals. The causes of this variation are poorly understood.

Objective

To assess the association of hospital-level NICU bed capacity with utilization and outcomes in newborn cohorts with differing levels of health risk.

Design, Setting, and Participants

This population-based retrospective cohort study included all Medicaid-insured live births in Texas from 2010 to 2014 using linked vital records and maternal and newborn claims data. Participants were Medicaid-insured singleton live births (LBs) with birth weights of at least 400 g and gestational ages between 22 and 44 weeks. Newborns were grouped into 3 cohorts: very low birth weight (VLBW; <1500 g), late preterm (LPT; 34-36 weeks' gestation), and nonpreterm newborns (NPT; ≥37 weeks' gestation). Data analysis was conducted from January 2022 to October 2023.

Exposure

Hospital NICU capacity measured as reported NICU beds/100 LBs, adjusted (ie, allocated) for transfers.

Main Outcomes and Measures

NICU admissions and special care days; inpatient mortality and 30-day postdischarge adverse events (ie, mortality, emergency department visit, admission, observation stay).

Results

The overall cohort of 874 280 single LBs included 9938 VLBW (5054 [50.9%] female; mean [SD] birth weight, 1028.9 [289.6] g; mean [SD] gestational age, 27.6 [2.6] wk), 63 160 LPT (33 684 [53.3%] female; mean [SD] birth weight, 2664.0 [409.4] g; mean [SD] gestational age, 35.4 [0.8] wk), and 801 182 NPT (407 977 [50.9%] female; mean [SD] birth weight, 3318.7 [383.4] g; mean [SD] gestational age, 38.9 [1.0] wk) LBs. Median (IQR) NICU capacity was 0.84 (0.57-1.30) allocated beds/100 LB/year. For VLBW newborns, NICU capacity was not associated with the risk of NICU admission or number of special care days. For LPT newborns, birth in hospitals with the highest compared with the lowest category of capacity was associated with a 17% higher risk of NICU admission (adjusted risk ratio [aRR], 1.17; 95% CI, 1.01-1.33). For NPT newborns, risk of NICU admission was 55% higher (aRR, 1.55; 95% CI, 1.22-1.97) in the highest- vs the lowest-capacity hospitals. The number of special care days for LPT and NPT newborns was 21% (aRR, 1.21; 95% CI,1.08-1.36) and 37% (aRR, 1.37; 95% CI, 1.08-1.74) higher in the highest vs lowest capacity hospitals, respectively. Among LPT and NPT newborns, NICU capacity was associated with higher inpatient mortality and 30-day postdischarge adverse events.

Conclusions and Relevance

In this cohort study of Medicaid-insured newborns in Texas, greater hospital NICU bed supply was associated with increased NICU utilization in newborns born LPT and NPT. Higher capacity was not associated with lower risk of adverse events. These findings raise important questions about how the NICU is used for newborns with lower risk.

Temporal trend in hospitalizations for malignant neoplasm and benign neoplasm: a nationwide study, China, 2004-2020

The increasing cancer burden calls for reliably assessed changes in the hospitalizations for tumors over time and space in China. This study evaluated trends in hospitalization rate, in-hospital mortality, length of stay (LOS), and medical costs for malignant and benign neoplasms. Data were derived from China Health Statistical Yearbooks from 2004 to 2020. Temporal trends in hospitalization rates and in-hospital mortality rates were assessed through the Cochran-Armitage Test. We used the linear model with continuous variables to test for the trend. The malignant neoplasm hospitalization rate increased from 1.1‰ to 5.8‰ and the benign neoplasm increased from 1.0‰ to 2.0‰. The in-hospital mortality rate due to malignant neoplasm and benign neoplasm decreased from 5.11 to 2.87% (P for trend < 0.001) and 0.14-0.01% (P for trend < 0.001), respectively. Among all patients hospitalized with malignant neoplasm, the average cost per hospitalization significantly increased during the study period (P for trend < 0.001), adjusted for the Consumer Price Index. However, the average LOS gradually decreased (P for trend < 0.001). In line with the trend of malignant neoplasm, the average cost per hospitalization increased significantly among all patients hospitalized for benign neoplasm (P for trend < 0.001), and the average LOS showed a steady downward trend (P for trend < 0.001). We found upward trends in hospitalization rates, and medical costs in neoplasms. By contrast, substantial decreases in in-hospital mortality and LOS. The hospitalization rate gap between urban and rural areas is narrowed.

Exploring the association between primary care efficiency and health system characteristics across European countries: a two-stage data envelopment analysis

BACKGROUND

Primary care is widely seen as a core component of resilient and sustainable health systems, yet its efficiency is not well understood and there is a lack of evidence about how primary care efficiency is associated with health system characteristics. We examine this issue through the lens of diabetes care, which has a well-established evidence base for effective treatment and has previously been used as a tracer condition to measure health system performance.

METHODS

We developed a conceptual framework to guide the analysis of primary care efficiency. Using data on 18 European countries during 2010-2016 from several international databases, we applied a two-stage data envelopment analysis to estimate (i) technical efficiency of primary care and (ii) the association between efficiency and health system characteristics.

RESULTS

Countries varied widely in terms of primary care efficiency, with efficiency scores depending on the range of population characteristics adjusted for. Higher efficiency was associated with bonus payments for the prevention and management of chronic conditions, nurse-led follow-up, and a financial incentive or requirement for patients to obtain a referral to specialist care. Conversely, lower efficiency was associated with higher rates of curative care beds and financial incentives for patients to register with a primary care provider.

CONCLUSIONS

Our results underline the importance of considering differences in population characteristics when comparing country performance on primary care efficiency. We highlight several policies that could enhance the efficiency of primary care. Improvements in data collection would enable more comprehensive assessments of primary care efficiency across countries, which in turn could more effectively inform policymaking.

Gravity models for potential spatial healthcare access measurement: a systematic methodological review

BACKGROUND

Quantifying spatial access to care-the interplay of accessibility and availability-is vital for healthcare planning and understanding implications of services (mal-)distribution. A plethora of methods aims to measure potential spatial access to healthcare services. The current study conducts a systematic review to identify and assess gravity model-type methods for spatial healthcare access measurement and to summarize the use of these measures in empirical research.

METHODS

A two-step approach was used to identify (1) methodological studies that presented a novel gravity model for measuring spatial access to healthcare and (2) empirical studies that applied one of these methods in a healthcare context. The review was conducted according to the PRISMA guidelines. EMBASE, CINAHL, Web of Science, and Scopus were searched in the first step. Forward citation search was used in the second step.

RESULTS

We identified 43 studies presenting a methodological development and 346 empirical application cases of those methods in 309 studies. Two major conceptual developments emerged: The Two-Step Floating Catchment Area (2SFCA) method and the Kernel Density (KD) method. Virtually all other methodological developments evolved from the 2SFCA method, forming the 2SFCA method family. Novel methodologies within the 2SFCA family introduced developments regarding distance decay within the catchment area, variable catchment area sizes, outcome unit, provider competition, local and global distance decay, subgroup-specific access, multiple transportation modes, and time-dependent access. Methodological developments aimed to either approximate reality, fit a specific context, or correct methodology. Empirical studies almost exclusively applied methods from the 2SFCA family while other gravity model types were applied rarely. Distance decay within catchment areas was frequently implemented in application studies, however, the initial 2SFCA method remains common in empirical research. Most empirical studies used the spatial access measure for descriptive purposes. Increasingly, gravity model measures also served as potential explanatory factor for health outcomes.

CONCLUSIONS

Gravity models for measuring potential spatial healthcare access are almost exclusively dominated by the family of 2SFCA methods-both for methodological developments and applications in empirical research. While methodological developments incorporate increasing methodological complexity, research practice largely applies gravity models with straightforward intuition and moderate data and computational requirements.

Forensic psychiatry patients, services, and legislation in Nunavut and Greenland

Circumpolar regions face unique challenges in establishing and maintaining mental health care systems, including forensic psychiatry services. The scarcity of data and lack of evidence concerning the forensic psychiatry patient (FPP) populations of Nunavut and Greenland exacerbates the challenges of informing best practices and healthcare planning. By comparing the prevalence of forensic psychiatry patients, the mental health care services, and the legislation in these two relatively similar but unique regions, insight may be gained that can help inform healthcare planning. This cross-sectional study includes all forensic psychiatry in- and outpatients in one year from Nunavut (2018) and on February 29, 2020, in Greenland. The Greenland sample (n = 93) was nearly four times larger than the Nunavut sample (n = 15) at the population level. Despite considerable differences in forensic legislation and service supply, the forensic psychiatry patients in the two areas share several similarities. A total of 87% (n = 13) in the Nunavut sample were diagnosed with a DSM-5 schizophrenia spectrum disorder or other psychotic disorder. In Greenland, 82% (n = 76) were diagnosed with an ICD-10 F2 diagnosis (schizophrenia, schizotypal and delusional disorders). Approximately 2/3 of the patients in both populations were diagnosed with substance use disorder, and 60% of the Nunavut FPP received long-acting antipsychotic injections versus 62% in Greenland. Nearly half of the FPPs in both populations had never been convicted prior to entering the forensic psychiatry system; Nunavut 45% versus Greenland 47%. A substantial proportion of Greenlandic FPPs were outpatients compared to Nunavut (83% versus 47%). This study is an essential first step toward describing a Model of Care for forensic psychiatry patients in circumpolar regions; furthermore, the clinical similarities between the two populations provide support for future joint Arctic research and the inclusion of artic forensic patients in international studies.

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.

Changes in low-acuity patient volume in an emergency department after launching a walk-in clinic

Objective

Unscheduled low-acuity care options are on the rise and are often expected to reduce emergency department (ED) visits. We opened an ED-staffed walk-in clinic (WIC) as an alternative care location for low-acuity patients at a time when ED visits exceeded facility capacity and the impending flu season was anticipated to increase visits further, and we assessed whether low-acuity ED patient visits decreased after opening the WIC.

Methods

In this retrospective cohort study, we compared patient and clinical visit characteristics of the ED and WIC patients and conducted interrupted time-series analyses to quantify the impact of the WIC on low-acuity ED patient visit volume and the trend.

Results

There were 27,211 low-acuity ED visits (22.7% of total ED visits), and 7,058 patients seen in the WIC from February 26, 2018, to November 17, 2019. Low-acuity patient visits in the ED reduced significantly immediately after the WIC opened (P = 0.01). In the subsequent months, however, patient volume trended back to pre-WIC volumes such that there was no significant impact at 6, 9, or 12 months (P = 0.07). Had WIC patients been seen in the main ED, low-acuity volume would have been 27% of the total volume rather than the 22.7% that was observed.

Conclusion

The WIC did not result in a sustained reduction in low-acuity patients in the main ED. However, it enabled emergency staff to see low-acuity patients in a lower resource setting during times when ED capacity was limited.

Adoption of emergency department crowding interventions among US hospitals between 2007 and 2020

BACKGROUND

To deal with emergency department (ED) crowding, the American College of Emergency Physicians (ACEP) established a task force to develop a list of low-cost, high-impact solutions. In this study, we report on the trend in the adoption rate of ACEP-recommended ED crowding interventions by US hospitals.

METHODS

We analyzed the National Hospital Ambulatory Medical Care Survey data from 2007 to 2020 (N = 3874 hospitals). The primary outcome was whether a hospital adopted each of the ACEP-recommended interventions, which were grouped into three overlapping categories: technology-based, flow modifications, and physical-based (e.g., changing ED layout).

RESULTS

On average, the most frequently adopted intervention was bedside registration (85.1%) and the least frequently adopted intervention was kiosk check-in (8.3%). The adoption of ED crowding interventions increased significantly between 2007 and 2020, except for expanding ED treatment space which declined by 45.0% from 30.3% in 2007 to 15.7% in 2020. The largest adoption rate increase occurred in having a separate operating room for ED cases with a 188.5% increase in adoption rate followed by radio-frequency identification (RFID) tracking (151.2%), and kiosk check-in (144.2%).

CONCLUSIONS

The adoption rate of ED crowding interventions by hospitals has risen, however most effective ED crowding interventions are still underutilized. The trends for each intervention did not always increase linearly, with certain periods showing greater fluctuations in adoption rate. Hospitals tend to implement technology-based interventions, compared to physical-based interventions and flow modification interventions.

Daily changes in spatial accessibility to ICU beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas, USA

During the COVID-19 pandemic, many patients could not receive timely healthcare services due to limited availability and access to healthcare resources and services. Previous studies found that access to intensive care unit (ICU) beds saves lives, but they overlooked the temporal dynamics in the availability of healthcare resources and COVID-19 cases. To fill this gap, our study investigated daily changes in ICU bed accessibility with an enhanced two-step floating catchment area (E2SFCA) method in the state of Texas. Along with the increased temporal granularity of measurements, we uncovered two phenomena: 1) aggravated spatial inequality of access during the pandemic, and 2) the retrospective relationship between insufficient ICU bed accessibility and the high case-fatality ratio of COVID-19 in rural areas. Our findings suggest that those locations should be supplemented with additional healthcare resources to save lives in future pandemic scenarios.

Why Did New York State Hospitals Rank So Poorly?

BACKGROUND

According to the Centers for Medicare and Medicaid Services star ratings, New York State (NYS) hospitals are relatively poor performers, with 33% achieving 1 star compared with 5% of hospitals across the United States.

OBJECTIVES

We compared NYS hospitals to all United States hospitals using Centers for Medicare and Medicaid Services Hospital Value-Based Purchasing (HVBP) and star ratings component measures. We perform risk adjustment for hospital and market characteristics associated poor performance.

RESEARCH DESIGN

This was a cross-sectional observational study.

SUBJECTS

All acute care hospitals in the United States which had HVBP scores for 2019 in April 21, 2021, Hospital Care Compare database.

MEASURES

Analysis of variance was used to compare NYS hospitals to all United States hospitals. Multivariable-based risk adjustment was applied to NYS hospitals with adjustment for hospital characteristics (eg, occupancy, size), hospital fiscal ratios (eg, operating margin), and market characteristics (eg, percent of hospital market that has a high school diploma).

RESULTS

NYS hospitals averaged lower patient satisfaction and higher readmissions. These domains were statistically significantly associated with lower socioeconomic status in the hospital market area. Risk adjustment reduced but did not eliminate these differences. NYS also performed poorly on pressure ulcers and deep vein thrombosis/pulmonary embolism prevention. NYS hospitals were similar to the United States in mortality and hospital-acquired infections.

CONCLUSIONS

Differences in the demographic makeup of hospital markets account for some of the poor performance of NYS hospitals. Some aspects, such as long length of stay, may be associated with wider regional trends.

Hospital-level variation in genetic testing in children's hospitals' neonatal intensive care units from 2016 to 2021

PURPOSE

This study aimed to examine variation in genetic testing between neonatal intensive care units (NICUs) across hospitals over time.

METHODS

We performed a multicenter large-scale retrospective cohort study using NICU discharge data from the Pediatric Hospital Information System database between 2016 and 2021. We analyzed the variation in the percentage of NICU patients who had any genetic testing across hospitals and over time. We used a multivariable multilevel logistic regression model to investigate the potential association between patient characteristics and genetic testing.

RESULTS

The final analysis included 207,228 neonates from 38 hospitals. Overall, 13% of patients had at least 1 genetic test sent, although this varied from 4% to 50% across hospitals. Over the study period, the proportion of patients tested increased, with the increase disproportionately borne by hospitals already testing high proportions of patients. On average, patients who received genetic testing had higher illness severity. Controlling for severity, however, only minimally reduced the degree of hospital-level variation in genetic testing.

CONCLUSION

The percentage of NICU patients who undergo genetic testing varies among hospitals and increasingly so over time. Variation is largely unexplained by differences in severity between hospitals. The degree of variation suggests that clearer guidelines for NICU genetic testing are warranted.

Do improved structural surroundings reduce restrictive practices in psychiatry?

BACKGROUND AND OBJECTIVES

There is sparse evidence that modern hospital architecture designed to prevent violence and self-harm can prevent restrictive practices (RP). We examine if the use of RPs was reduced by the structural change of relocating a 170-year-old psychiatric university hospital (UH) in Central Denmark Region (CDR) to a new modern purpose-built university hospital.

METHODS

The dataset includes all admissions (N = 19.567) and RPs (N = 13.965) in the self-contained CDR one year before and after the relocation of the UH. We compare RPs at the UH a year prior to and after relocation on November 16th (November 2017, November 2019) with RPs at the other psychiatric hospitals (RH) in CDR. We applied linear regression analysis to assess the development in the monthly frequency of RPs pre- and post-relocation and examine underlying trends.

RESULTS

At UH, RPs performed decreased from 4073 to 2585 after relocation, whereas they remained stable (from 3676 to 3631) at RH. Mechanical restraint and involuntary acute medication were aligned at both UH and RH. Using linear regression analysis, we found an overall significant decrease in the use of all restrictive practices at UH with an inclination of -9.1 observations (95% CI - 12.0; - 6.3 p < 0.0001) per month throughout the two-year follow-up. However, the decrease did not deviate significantly from the already downward trend observed one year before relocation. Similar analyses performed for RH showed a stable use of coercion.

CONCLUSION

The naturalistic features of the design preclude any definitive conclusion whether relocation to a new purpose-built psychiatric hospital decreased the RPs. However, we argue that improving the structural environment at the UH had a sustained effect on the already declining use of RPs, particularly mechanical restraint and involuntary acute medication.

An Examination of the Stochastic Distribution of Spatial Accessibility to Intensive Care Unit Beds during the COVID-19 Pandemic: A Case Study of the Greater Houston Area of Texas

Sufficient and reliable health care access is necessary for people to be able to maintain good health. Hence, investigating the uncertainty embedded in the temporal changes of inputs would be beneficial for understanding their impact on spatial accessibility. However, previous studies are limited to implementing only the uncertainty of mobility, while health care resource availability is a significant concern during the coronavirus disease (COVID-19) pandemic. Our study examined the stochastic distribution of spatial accessibility under the uncertainties underlying the availability of intensive care unit (ICU) beds and ease of mobility in the Greater Houston area of Texas. Based on the randomized supply and mobility from their historical changes, we employed Monte Carlo simulation to measure ICU bed accessibility with an enhanced two-step floating catchment area (E2SFCA) method. We then conducted hierarchical clustering to classify regions of adequate (sufficient and reliable) accessibility and inadequate (insufficient and unreliable) accessibility. Lastly, we investigated the relationship between the accessibility measures and the case fatality ratio of COVID-19. As result, locations of sufficient access also had reliable accessibility; downtown and outer counties, respectively, had adequate and inadequate accessibility. We also raised the possibility that inadequate health care accessibility may cause higher COVID-19 fatality ratios.

Rural–Urban Disparities in Realized Spatial Access to General Practitioners, Orthopedic Surgeons, and Physiotherapists among People with Osteoarthritis in Alberta, Canada

Rural Canadians have high health care needs due to high prevalence of osteoarthritis (OA) but lack access to care. Examining realized access to three types of providers (general practitioners (GPs), orthopedic surgeons (Ortho), and physiotherapists (PTs)) simultaneously helps identify gaps in access to needed OA care, inform accessibility assessment, and support health care resource allocation. Travel time from a patient’s postal code to the physician’s postal code was calculated using origin–destination network analysis. We applied descriptive statistics to summarize differences in travel time, hotspot analysis to explore geospatial patterns, and distance decay function to examine the travel pattern of health care utilization by urbanicity. The median travel time in Alberta was 11.6 min (IQR = 4.3–25.7) to GPs, 28.9 (IQR = 14.8–65.0) to Ortho, and 33.7 (IQR = 23.1–47.3) to PTs. We observed significant rural–urban disparities in realized access to GPs (2.9 and IQR = 0.0–92.1 in rural remote areas vs. 12.6 and IQR = 6.4–21.0 in metropolitan areas), Ortho (233.3 and IQR = 171.3–363.7 in rural remote areas vs. 21.3 and IQR = 14.0–29.3 in metropolitan areas), and PTs (62.4 and IQR = 0.0–232.1 in rural remote areas vs. 32.1 and IQR = 25.2–39.9 in metropolitan areas). We identified hotspots of realized access to all three types of providers in rural remote areas, where patients with OA tend to travel longer for health care. This study may provide insight on the choice of catchment size and the distance decay pattern of health care utilization for further studies on spatial accessibility.

Geographic disparities in access to Medication for Opioid Use Disorder across US census tracts based on treatment utilization behavior

Drug overdose is the leading cause of accidental death in the U.S. with deaths from opioid overdose occurring at a higher rate in rural areas. The gaps in the provision of healthcare services have been exacerbated by the opioid crisis leaving vulnerable populations without access to preventative care and education, harm reduction, both chronic and acute treatment of the symptoms of opioid use disorder (OUD), and long-term psychological support for those with OUD and their families. There has been a call in the literature -and a federal mandate-for increased access to opioid treatment facilities, but to date this access has not been operationalized using best practices in geography. Medication for Opioid Use Disorder (MOUD) with FDA-approved methadone or buprenorphine has been shown to increase treatment retention, reduce opioid use and associated health and societal harms, and reduce opioid related overdose, and as such is considered the most effective treatment for OUD. The objective of this study is to examine U.S. adults' spatial access to MOUD - specifically locations of certified Opioid Treatment Programs (OTPs) and DATA-waived Buprenorphine providers. A gravity-based variant of the enhanced two-step floating catchment area model is employed, where friction of distance is based on previously published willingness to travel distances for patients visiting OTPs, to assess how opioid agonist treatment accessibility varies across the nation. Findings suggest that there are extensive 'treatment deserts' where there is little to no physical access to MOUD, especially in rural areas. The significance of this work lies in the incorporation of treatment utilization behavior in the access metric, and the continued confirmation of gaps in access to OUD services despite federal efforts to improve accessibility.

Psychiatric hospitalisations for people who are incarcerated, 2009-2019: An 11-year retrospective longitudinal study in France

BACKGROUND

Despite the poor mental health status of people who are incarcerated, few studies have examined the number of psychiatric hospitalisations in this population. Since 2010, France has progressively opened nine full-time inpatient psychiatric wards exclusively for people who are incarcerated, called "specially adapted hospital units" (unités hospitalières spécialement aménagées, UHSAs, 440 beds). This study aimed to present the annual rates of psychiatric hospitalisations and primary psychiatric diagnoses among people who are incarcerated in France from 2009 to 2019.

METHODS

We used discharge reports from the French national hospital database to describe longitudinal retrospective administrative data of psychiatric hospitalisations for people in jail and prison between 2009 and 2019, the age, sex, and principal diagnoses of these patients, the proportion of voluntary versus involuntary care, and the interactions between UHSAs and other facilities.

FINDINGS

Between Jan 1, 2009, and Dec 31, 2019, 32,228 (92.2% men, n = 29,721; 7.8% women, n = 2 507) incarcerated people were hospitalised for psychiatric care (64,481 stays). The main diagnoses were psychotic disorders (27.4%), personality disorders (23.2%), and stress-related disorders (20.2%). The annual number of incarcerated people hospitalised in psychiatric care increased from 3263 in 2009 to 4914 in 2019. The gradual increase in the activity of UHSAs (300 hospitalisations in 2010 versus 3252 in 2019) was not associated with a reduction in the rate of hospitalisation of incarcerated people in local psychiatric hospitals.

INTERPRETATION

The creation of psychiatric hospitals specifically dedicated to the prison population has not stopped the hospitalisation of people who are incarcerated at psychiatric hospitals. These findings suggest that access to psychiatric hospitalisation remains problematic for people who are incarcerated in France.

FUNDING

There was no funding source for this study.

Internal Regulation Center in hospitals: Repercussions of its implementation on the health services' indicators

Objective

To evaluate the hospital indicators and their repercussions on the number of monthly admissions to a public university hospital, before and after implementing the Internal Regulation Center.

Method

An evaluative research study, of the Case Study type, developed in a public university hospital. A total of 28 indicators related to structure, production, productivity and quality were measured, which are part of internal Benchmarking. The data were analyzed by means of descriptive statistics and multiple regression to identify the independent factors and those associated with the number of monthly hospitalizations with 95% confidence intervals.

Results

Implementation of the Center significantly increased (p<0.001) the number of discharges, the bed utilization factor and the bed renewal rate, emergency hospitalization, bed occupancy percentage, surgical procedures performed and the patient-day mean value (p=0.027). There was a reduction (p<0.001) in the number of visits to the medical, obstetric and orthopedic emergency room, in the rates of in-hospital infection and infant mortality, as well as a mean reduction of 0.81/day, approximately one day less of hospitalization per patient, or a gain of 40 available beds per month.

Conclusion

Although the number of available beds was lower in the post-implementation period, the bed replacement interval was reduced, representing an increase of 40 more beds per month due to the reduction in the patients’ length of stay in the institution.

Heterogeneous effects of hospital competition on inpatient expenses: an empirical analysis of diseases grouping basing on conditions' complexity and urgency

Background

Multiple pro-competition policies were implemented during the new round of healthcare reform in China. Differences in conditions’ complexity and urgency across diseases associating with various degrees of information asymmetry and choice autonomy in the process of care provision, would lead to heterogeneous effects of competition on healthcare expenses. However, there are limited studies to explore it. This study aims to examine the heterogeneous effects of hospital competition on inpatient expenses basing on disease grouping according to conditions’ complexity and urgency.

Methods

Collecting information from discharge data of inpatients and hospital administrative data of Sichuan province in China, we selected representative diseases. K-means clustering was used to group the selected diseases and Herfindahl-Hirschman Index (HHI) was calculated based on the predicted patient flow to measure the hospital competition. The log-linear multivariate regression model was used to examine the heterogeneous effects of hospital competition on inpatient expenses.

Results

We selected 19 representative diseases with significant burdens (more than 1.1 million hospitalizations). The selected diseases were divided into three groups, including diseases with highly complex conditions, diseases with urgent conditions, and diseases with less complex and less urgent conditions. For diseases with highly complex conditions and diseases with urgent conditions, the estimated coefficients of HHI are mixed in the direction and statistical significance in the identical regression model at the 5% level. For diseases with less complex and less urgent conditions, the coefficients of HHI are all positive, and almost all of them significant at the 5% level.

Conclusions

We found heterogeneous effects of hospital competition on inpatient expenses across disease groups: hospital competition does not play an ideal role in reducing inpatient expenses for diseases with highly complex conditions and diseases with urgent conditions, but it has a significant effect in reducing inpatient expenses of diseases with less complex and less urgent conditions. Our study offers implications that the differences in condition’s complexity and urgency among diseases would lead to different impacts of hospital competition, which would be given full consideration when designing the pro-competition policy in the healthcare delivery system to achieve the desired goal.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07331-1.

Director's Perceived Competition and Its Relationship with Hospital's Competitive Behaviors: Evidence from County Hospitals in China

Background

This study was conducted for assessing the degrees of perceived competition reported by county hospital directors in rural China as well as hospitals’ competitive behaviors in response to competition.

Methods

The data were collected from Analysis of Provider Payment Reforms on Advancing China’s Health (APPROACH) project which had been implemented among county hospitals in China’s Guizhou province. Competition was measured by asking hospital directors to rate the levels of competitive pressure as they perceived. Hospitals’ competitive behaviors were obtained by asking hospitals’ directors about specific strategies they had adopted. A multivariable linear regression model was developed to examine the relationship between perceived competition and the positivity of competitive behavior, and multivariable logistic regressions were used to evaluate the influence of perceived competition on the adoption of specific competitive strategies.

Results

Among 218 directors engaged in this study, 210 (96.3%) directors reported the perception of certain degrees of competition, for which the competitive pressure was mainly posed by public hospitals (42.4%). Director-perceived competition level was found to be positively associated with the positivity of competitive behavior, and directors under higher competitive pressure were found to be more likely to adopt multiple competitive strategies including improving the efficiency of hospitals’ internal management, optimizing hospitals’ environment as well as promoting health-care services.

Conclusion

This study suggested that almost all of the county hospital directors in rural China perceived certain degrees of competitive pressure, and higher levels of perceived competition were found to be significantly associated with increased positivity in adopting competitive strategies. Our findings are expected to provide evidence-based implications for the implementation of a series of pro-competition policies throughout health-care reforms.

Public satisfaction with health care system in 30 countries: The effects of individual characteristics and social contexts

In this article, the associations among individual socio-economic characteristics, the institutional set-up of health care systems, and satisfaction with the health care system are investigated. Data from the 2011 International Social Survey Program (30 countries, 34,212 respondents) is used. Multilevel analyses across countries have shown how the state financing context affects satisfaction at the individual level. Consistent with previous research, at individual level, personal experiences with medical providers, age, gender as well as income are significant predictors of satisfaction with the health care system. At the country level, real input indicators such as density of physicians and density of hospital beds are negative predictors of satisfaction with the health care system whereas the percentage of total health expenditures comprised by public sources is a positive predictor of satisfaction with the health care system. However, findings from the cross-level interactions indicate that the negative effect of lower income is more prominent in predominantly publicly-funded health care systems. Specifically, in primarily publicly-funded health care systems, the model-predicted probability of satisfaction with the health care system is higher, but the gap in the probability of satisfaction with the health care system between individuals with lower income and those with higher income is greater than that in mostly privately-financed health care systems. The findings in this study suggest that the future direction of health care system reform should be focused on balancing the distribution of resources between private and public sectors.

A Review of Recent Spatial Accessibility Studies That Benefitted from Advanced Geospatial Information: Multimodal Transportation and Spatiotemporal Disaggregation

Spatial accessibility provides significant policy implications, describing the spatial disparity of access and supporting the decision-making process for placing additional infrastructure at adequate locations. Several previous reviews have covered spatial accessibility literature, focusing on empirical findings, distance decay functions, and threshold travel times. However, researchers have underexamined how spatial accessibility studies benefitted from the recently enhanced availability of dynamic variables, such as various travel times via different transportation modes and the finer temporal granularity of geospatial data in these studies. Therefore, in our review, we investigated methodological advancements in place-based accessibility measures and scrutinized two recent trends in spatial accessibility studies: multimodal spatial accessibility and temporal changes in spatial accessibility. Based on the critical review, we propose two research agendas: improving the accuracy of measurements with dynamic variable implementation and furnishing policy implications granted from the enhanced accuracy. These agendas particularly call for the action of geographers on the full implementation of dynamic variables and the strong linkage between accessibility and policymaking.

Effect of the COVID-19 Pandemic on Patient Volumes, Acuity, and Outcomes in Pediatric Emergency Departments: A Nationwide Study

OBJECTIVES

The aim of this study was to quantify the effect of the COVID-19 pandemic on pediatric emergency department (ED) utilization and outcomes.

METHODS

This study is an interrupted-time-series observational study of children presenting to 11 Canadian tertiary-care pediatric EDs. Data were grouped into weeks in 3 study periods: prepandemic (January 1, 2018-January 27, 2020), peripandemic (January 28, 2020-March 10, 2020), and early pandemic (March 11, 2020-April 30, 2020). These periods were compared with the same time intervals in the 2 preceding calendar years. Primary outcomes were number of ED visits per week. The secondary outcomes were triage acuity, hospitalization, intensive care unit (ICU) admission, mortality, length of hospital stay, ED revisits, and visits for trauma and mental health concerns.

RESULTS

There were 577,807 ED visits (median age, 4.5 years; 52.9% male). Relative to the prepandemic period, there was a reduction [-58%; 95% confidence interval (CI), -63% to -51%] in the number of ED visits during the early-pandemic period, with concomitant higher acuity. There was a concurrent increase in the proportion of ward [odds ratio (OR), 1.39; 95% CI, 1.32-1.45] and intensive care unit (OR, 1.20; 95% CI, 1.01-1.42) admissions, and trauma-related ED visits among children less than 10 years (OR, 1.51; 95% CI, 1.45-1.56). Mental health-related visits in children declined in the early-pandemic period (in <10 years, -60%; 95% CI, -67% to -51%; in children ≥10 years: -56%; 95% CI, -63% to -47%) relative to the pre-COVID-19 period. There were no differences in mortality or length of stay; however, ED revisits within 72 hours were reduced during the early-pandemic period (percent change: -55%; 95% CI, -61% to -49%; P < 0.001).

CONCLUSIONS

After the declaration of the COVID-19 pandemic, dramatic reductions in pediatric ED visits occurred across Canada. Children seeking ED care were sicker, and there was an increase in trauma-related visits among children more than 10 years of age, whereas mental health visits declined during the early-pandemic period. When faced with a future pandemic, public health officials must consider the impact of the illness and the measures implemented on children's health and acute care needs.

A Critique on Psychiatric Inpatient Admissions for Suicidality in Youth

ABSTRACT

For the last few decades, psychiatric inpatient admissions for the treatment of suicidality in US youth have been increasing. Nonetheless, since 2007, the national rate of completed suicides by youth has steadily and sizably increased. Therefore, a literature review was performed to evaluate the usefulness of the psychiatric inpatient admission of suicidal youths. The analysis concluded that suicidality is surprisingly common in youth, completed suicide is very uncommon in early adolescence, suicidal ideation is a major reason in early adolescence for inpatient admission, girls are admitted to psychiatric inpatient units three times more than boys even though boys complete suicide four times more than girls, inpatient stays average 6 days and are quite expensive, and repeat attempts after inpatient treatment are common. Thus, filling more beds for youth with suicidality lacks evidence of a public health, long-term benefit. Expanding the focus in psychiatry to population efforts including means reductions is recommended.

Hospitalizations at the End of Life Among Chronic Obstructive Pulmonary Disease and Lung Cancer Patients: A Nationwide Study

CONTEXT

Patients with chronic obstructive pulmonary disease (COPD) and lung cancer report several symptoms at the end of life and may share palliative care needs. However, these disease groups have distinct health care use.

OBJECTIVES

To compare the frequency and length of hospitalizations during the last month of life between patients with COPD and lung cancer, assessing the main characteristics associated with these outcomes.

METHODS

Data were retrieved from the Portuguese Hospital Morbidity Database. Deceased patients in a public hospital from mainland Portugal (2010-2015), with COPD as the main diagnosis of the last hospitalization (n = 2942) were sex and age matched (1:1) with patients with lung cancer. The association of patients' main diagnosis, and individual, hospital and area of residence characteristics, on frequency (>1) and length (>14 days) of end-of-life hospitalizations were quantified through adjusted odds ratio (OR) and respective 95% confidence intervals (CIs).

RESULTS

Hospitalizations for >14 days during the last month of life were more likely for lung cancer patients than COPD patients (OR = 1.12; 95% CI = 1.00-1.25). Among patients with COPD, male sex (OR = 1.50; 95% CI = 1.25-1.80) and death in a large hospital (OR = 1.82; 95% CI = 1.41-2.35) were positively associated with longer hospitalizations; the occurrence of >1 hospitalization and hospitalizations for >14 days were less likely among those from rural areas (OR = 0.72, 95% CI = 0.55-0.94; OR = 0.67, 95% CI = 0.54-0.83, respectively). In patients with lung cancer, male sex was negatively associated with longer hospitalizations (OR = 0.82; 95% CI = 0.69-0.98).

CONCLUSION

At the end of life, patients with lung cancer had longer hospitalizations than patients with COPD, and the main characteristics associated with the frequency and length of hospitalizations differed according to the patients' main diagnosis.

Spatial Behavior of Cancer Care Utilization in Distance Decay in the Northeast Region of the U.S

PURPOSE

Spatial behavior of patients in utilizing health care reflects their travel burden or mobility, accessibility for medical service, and subsequently outcomes from treatment. This paper derives the best-fitting distance decay function to capture the spatial behaviors of cancer patients in the Northeast region of the U.S., and examines and explains the spatial variability of such behaviors across sub-regions.

PRINCIPAL RESULTS

(1) 46.8%, 85.5%, and 99.6% of cancer care received was within a driving time of 30, 60 and 180 minutes, respectively. (2) The exponential distance decay function is the best in capturing the travel behavior of cancer patients in the region and across most sub-regions. (3) The friction coefficient in the distance decay function is negatively correlated with the mean travel time. (4) The best-fitting function forms are associated with network structures. (5) The variation of the friction coefficient across sub-regions is related to factors such as urbanicity, economic development level, and market competition intensity.

MAJOR CONCLUSIONS

The distance decay function offers an analytic metric to capture a full spectrum of travel behavior, and thus a more comprehensive measure than average travel time. Examining the geographic variation of travel behavior needs a reliable analysis unit such as organically defined "cancer service areas", which capture relevant health care market structure and thus are more meaningful than commonly-used geopolitical or census area units.

Spatial Analysis of Factors Associated with Hospitalizations for Ambulatory Care Sensitive Conditions among Old Adults in Minas Gerais State

AIM

To investigate the geographical variability and factors associated with hospitalizations for ambulatory care sensitive conditions (ACSC) among older adults living in the state of Minas Gerais.

METHODOLOGY

This is an ecological study, based on data from the National Hospital Information System (SIH-SUS). Municipal rates of hospitalization for ACSC were compared to the state's average rate, and analysis of associated factors included sociodemographic characteristics, supply of health services and primary health care (PHC) activities. Data analysis was based on Bayesian spatial modeling.

RESULTS

Most municipalities in Minas Gerais (479 or 56.2%) had a rate of hospitalization for ACSC below the state average. After multivariate analysis, income (β = -0,0008; 95%CI: -0.0014 - -0,0002) and the Family Health Strategy coverage (β = -0.4269; 95%CI: -0.7988 - -0.1116) were negatively associated with the risk of hospitalization for ACSC, while the availability of hospital beds (β = 0.0271; 95%CI 0.0211 - 0.0331) was positively associated. The characteristics of PHC did not show any association with the rate of hospitalization for ACSC.

CONCLUSION

the rates of hospitalization for ACSC in the elderly population were influenced by the PHC coverage, but also by external factors such as income and structure and provision of health services, indicating that the meeting of population health demands passes through actions that go beyond the health sector, including investment in the reduction of poverty and inequality and expansion of access to PHC.

Validating Gravity-Based Market Share Models Using Large-Scale Transactional Data

Customer patronage behavior has been widely studied in market share modeling contexts, which is an essential step toward estimating retail sales and finding new store locations in a competitive setting. Existing studies have conducted surveys to estimate merchants' market share and factors of attractiveness to use in various proposed mathematical models. Recent trends in Big Data analysis allow us to better understand human behavior and decision making, potentially leading to location models with more realistic assumptions. In this article, we propose a novel approach for validating the Huff gravity market share model, using a large-scale transactional dataset that describes customer patronage behavior at a regional level. Although the Huff model has been well studied and widely used in the context of sales estimation, competitive facility location, and demand allocation, this article is the first in validating the Huff model with a real dataset. Our approach helps to easily apply the model in different regions and with different merchant categories. Experimental results show that the Huff model fits well when modeling customer shopping behavior for a number of shopping categories, including grocery stores, clothing stores, gas stations, and restaurants. We also conduct regression analysis to show that certain features such as gender diversity and marital status diversity lead to stronger validation of the Huff model. We believe we provide strong evidence, with the help of real-world data, that gravity-based market share models are viable assumptions for retail sales estimation and competitive facility location models.

Hospital Competition and Unplanned Readmission: Evidence from a Systematic Review

Competition has been widely introduced among hospitals in the hope of improving health-care quality. However, whether competition leads to higher-quality health care is a topic of considerable debate. We conducted a systematic review to assess the impact of hospital-market competition on unplanned readmission. We searched six electronic databases (PubMed, EmBase, Wiley Online Library, Web of Science, Scopus, and JSTOR) and reference lists of screened articles for relevant studies, and strictly followed methods proposed by the Cochrane Collaboration. Finally, nine observational studies with 2,241,767 patients were included. For the primary outcome, pooled results of three studies showed that it was uncertain whether or not hospital competition reduces readmission (β=0.02, P=0.06; very low certainty of evidence, as they were all observational studies with high heterogeneity). Inconsistent results were found in the remaining six studies, and they were assessed as very low–certainty evidence, downgraded for either inconsistency or indirectness or both. As for secondary outcomes, seven of the nine studies reported on the impact of competition on the risk of mortality, and two reported on length of stay (LOS). It was uncertain whether competition had an effect on mortality or LOS. The relevant studies were limited and of very low certainty, which means there is currently no reliable evidence showing that hospital competition reduces quality of health care in terms of readmission/mortality/LOS. There is a need for rigorous studies to assess the impact of hospital competition on the quality of health care.

Individual and Area-level Factors Contributing to the Geographic Variation in Ambulatory Care Sensitive Conditions in Finland: A Register-based Study

BACKGROUND

Measuring primary health care (PHC) performance through hospitalizations for ambulatory care sensitive conditions (ACSCs) remains controversial-recent cross-sectional research claims that its geographic variation associates more with individual socioeconomic position (SEP) and health status than PHC supply.

OBJECTIVES

To clarify the usage of ACSCs as a PHC performance indicator by quantifying how disease burden, both PHC and hospital supply and spatial access contribute over time to geographic variation in Finland when individual SEP and comorbidities were adjusted for.

METHODS

The Finnish Care Register for Health Care provided hospitalizations for ACSCs (divided further into subgroups of acute, chronic, and vaccine-preventable causes) in 2011-2017. With 3-level nested multilevel Poisson models-individuals, PHC authorities, and hospital authorities-we estimated the proportion of the variance in ACSCs explained by selected factors at 3 time periods.

RESULTS

In age-adjusted and sex-adjusted analysis of total ACSCs the variances between hospital authorities was nearly twice that between PHC authorities. Individual SEP and comorbidities explained 19%-30% of the variance between PHC authorities and 25%-36% between hospital authorities; and area-level disease burden and arrangement and usage of hospital care a further 14%-16% and 32%-33%-evening out the unexplained variances between PHC and hospital authorities.

CONCLUSIONS

Alongside individual factors, areas' disease burden and factors related to hospital care explained the excess variances in ACSCs captured by hospital authorities. Our consistent findings over time suggest that the local strain on health care and the regional arrangement of hospital services affect ACSCs-necessitating caution when comparing areas' PHC performance through ACSCs.

Pricing Universal Health Care: How Much Would The Use Of Medical Care Rise?

The return of a Democratic administration to the White House, coupled with coronavirus disease 2019 (COVID-19) pandemic-induced contractions of job-based insurance, may reignite debate over public coverage expansion and its costs. Decades of research demonstrate that uninsured people and people with copays and deductibles use less care than people with first-dollar coverage. Hence, most economic analyses of Medicare for All proposals and other coverage expansions project increased utilization and associated costs. We review the utilization surges that such analyses have predicted and contrast them with the more modest utilization increments observed after past coverage expansions in the US and other affluent nations. The discrepancy between predicted and observed utilization changes suggests that analysts underestimate the role of supply-side constraints-for example, the finite number of physicians and hospital beds. Our review of the utilization effects of past coverage expansions suggests that a first-dollar universal coverage expansion would increase ambulatory visits by 7-10 percent and hospital use by 0-3 percent. Modest administrative savings could offset the costs of such increases.

Investigating the association of health system characteristics and health care utilization: a multilevel model in China's ageing population

Background

To achieve universal health coverage in China, it is necessary to identify access barriers to health care. This study examined the association between health system characteristics and health care utilization in China and identified factors associated with accessing health care among the mid-aged and elderly.

Methods

Data were obtained from the 2015 China Health and Retirement Longitudinal Study, and 17 370 respondents aged 45 and above were included in the analysis. The dependent variables were the use of outpatient and inpatient care among respondents. Health system characteristics at the provincial level were measured using the density of doctors and ward beds, health expenditure per visit/admission and health financing. A two-level logistic regression model was constructed to examine association between health care utilization and health system characteristics, controlling for predisposing, enabling and need variables.

Results

Of the 17 370 respondents, 18.3% had utilized outpatient care and 13.7% had utilized inpatient care in 2015. Increases in the share of out-of-pocket (OOP) payments as total health spending at the provincial-level was less likely to be associated with outpatient care utilization (odds ratio (OR) = 0.96, 95% confidence interval (CI) = 0.93-0.98) among the mid-age and elderly population. Increases in the share of OOP payments (OR = 0.98, 95% CI = 0.97-1.00) and health expenditure per admission (OR = 0.20, 95% CI = 0.04-0.88) were less likely to be associated with inpatient care utilization, while increases in the density of beds (OR = 1.26, 95% CI = 1.10-1.43) was more likely to be associated with inpatient care utilization. gross domestic product (GDP) per capita at the provincial level and types of health insurance owned by respondents were significantly related to both inpatient and outpatient care utilization.

Conclusions

Low affordability of the mid-aged and elderly population is the main barrier to utilizing health care in China. In order to improve access to health care, the government should make more efforts, such as improving health insurance reimbursement rates and implementing prospective provider payment methods, to decrease OOP payment for the ageing population.

Reform influences location of death: Interrupted time-series analysis on older adults and persons with dementia

Background

Norway instituted a Coordination Reform in 2012 aimed at maximizing time at home by providing in-home care through community services. Dying in a hospital can be highly stressful for patients and families. Persons with dementia are particularly vulnerable to negative outcomes in hospital. This study aims to describe changes in the proportion of older adults with and without dementia dying in nursing homes, home, hospital and other locations over an 11-year period covering the reform.

Methods and findings

This is a repeated cross-sectional, population-level study using mortality data from the Norwegian Cause of Death Registry hosted by the Norwegian Institute of Public Health. Participants were Norwegian older adults 65 years or older with and without dementia who died from 2006 to 2017. The policy intervention was the 2012 Coordination Reform that increased care infrastructure into communities. The primary outcome was location of death listed as a nursing home, home, hospital or other location. The trend in the proportion of location of death, before and after the reform was estimated using an interrupted time-series analysis. All analyses were adjusted for sex and seasonality. Of the 417,862 older adult decedents, 61,940 (14.8%) had dementia identified on their death certificate. Nursing home deaths increased over time while hospital deaths decreased for the total population (adjusted Relative Risk Ratio (aRRR) 0.87, 95% CI 0.82–0.92) and persons with dementia (aRRR: 0.93, 95%CI 0.91–0.96) after reform implementation.

Conclusion

This study provides evidence that the 2012 Coordination Reform was associated with decreased older adults dying in hospital and increased nursing home death; however, the number of people dying at home did not change.

The Effect of Large-scale Health Coverage Expansions in Wealthy Nations on Society-Wide Healthcare Utilization

Most analysts project that a reform like Medicare-for-All that lowers financial barriers to care would cause a surge in the utilization of services, raising costs despite stable or even reduced prices. However, the finite supply of physicians and hospital beds could constrain such utilization increases. We reviewed the effects of 13 universal coverage expansions in capitalist nations on physician and hospital utilization, beginning with New Zealand's 1938 Social Security Act up through the 2010 Affordable Care Act in the USA. Almost all coverage expansions had either a small (i.e., < 10%) or no effect on society-wide utilization. However, coverage expansions often redistributed care-increasing use among newly covered groups while producing small, offsetting reductions among those already covered. We conclude that in wealthy nations, large-scale coverage expansions need not cause overall utilization to surge if provider supply is controlled. However, such reforms could redirect care towards patients who most need it.

"Working Against Gravity": The Uphill Task of Overcapacity Management

While most health systems have implemented interventions to manage situations in which patient demand exceeds capacity, little is known about the long-term sustainability or effectiveness of such interventions. A large multi-jurisdictional study on patient flow in Western Canada provided the opportunity to explore experiences with overcapacity management strategies across 10 diverse health regions. Four categories of interventions were employed by all or most regions: overcapacity protocols, alternative locations for emergency patients, locations for discharge-ready inpatients, and meetings to guide redistribution of patients. Two mechanisms undergirded successful interventions: providing a capacity buffer and promoting action by inpatient units by increasing staff accountability and/or solidarity. Participants reported that interventions demanded significant time and resources and the ongoing active involvement of middle and senior management. Furthermore, although most participants characterized overcapacity management practices as effective, this effectiveness was almost universally experienced as temporary. Many regions described a context of chronic overcapacity, which persisted despite continued intervention. Processes designed to manage short-term surges in demand cannot rectify a long-term mismatch between capacity and demand; solutions at the level of system redesign are needed.

Inpatient Flow Distribution Patterns at Shanghai Hospitals

Empirical studies based on patient flow data are needed to provide more materials to summarize the general pattern of patient distribution models. This study takes Shanghai as an example and tries to demonstrate the inpatient flow distribution model for different levels and specialties of medical institutions. Power, negative exponential, Gaussian, and log-logistic models were used to fit the distributions of inpatients, and a model of inpatient distribution patterns in Shanghai was derived, based on these four models. Then, the adjusted coefficient of determination (R²) and Akaike information criterion (AIC) values were used to assess the model fitting effect. The log-logistic function model has a good simulation effect and the strongest applicability in most hospitals. The estimated value of the distance-decay parameter β in the log-logistic function model is 1.67 for all patients, 1.89 for regional hospital inpatients, 1.40 for tertiary hospital inpatients, 1.64 for traditional Chinese medicine hospital inpatients, and 0.85 for mental hospital inpatients. However, the simulations at the tumor, children’s and maternity hospitals, were not satisfactory. Based on the results of empirical analysis, the four attenuation coefficient models are valid in Shanghai, and the log-logistic model of the inpatient distributions at most hospitals have good simulation effects. However, further in-depth analysis combined with the characteristics of specific specialties is needed to obtain the inpatient model in line with the characteristics of these specialties.

Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review

BACKGROUND

Determining the optimal number of hospital beds is a complex and challenging endeavor and requires models and techniques which are sensitive to the multi-level, uncertain, and dynamic variables involved. This study identifies and characterizes extant models and methods that can be used to determine the required number of beds at hospital and regional levels, comparing their advantages and challenges.

METHODS

A systematic search was conducted using Web of Science, Scopus, Embase and PubMed databases, with the search terms hospital bed capacity, hospital bed need, hospital, bed size, model, and method.

RESULTS

Twenty-three studies met the criteria to be included in the review. Of these studies, a total of 11 models and 5 methods were identified, mainly designed to determine hospital bed capacity at the regional level. Common determinants of the required number of hospital beds in these models included demographic changes, average length of stay, admission rates, and bed occupancy rates.

CONCLUSIONS

There are no specific norms for the required number of beds at hospital and regional levels, but some of the identified models and methods may be used to estimate this number in different contexts. Moreover, it is important to consider alternative approaches to planning hospital capacity like care pathways to fix the limitations of "bed numbers".

The ecology of medical care: access points to the health care system in Austria and other developed countries

Objective: This study aimed to analyze the Austrian health care system using the ecology of care model. Our secondary aim was to compare data from Austria with those available from other countries.Design: 3508 interviews employing a 30-item questionnaire related to the utilization of the health care system including demographic factors were conducted. Participants were chosen by a Random Digital Dialing procedure. Further, a literature review of studies of other countries use of the ecology of care model was conducted.Main outcome measures: Austria has one of the highest utilization of health care services in any of the assessed categories. The comparison with the literature review shows that Austria has the highest utilization of specialists working in the outpatient sector as well as the highest hospitalization rates. Taiwan and Korea have comparable utilization patterns. Canada, Sweden, and Norway are countries with lower utilization patterns, and the U.S. and Japan are intermediate.Conclusion: In Austria and similarly organized countries, high utilization of all health care services can be observed, in particular, the utilization of specialists and hospitalizations. The over-utilization of all levels of health care in Austria may be due to the lack of a clear demarcation line between the primary and secondary levels of care, and the presence of universal health coverage, which also allows for unrestricted and undirected access to all levels of care. Previous studies have shown that comparable countries lack the health benefits of a strong primary care system with its coordination function.Key pointsIn Austria and similarly organized countries, there appears to be high utilization of health care in general, as well as with particular utilization of specialists and hospitalizations.The high utilization of all levels of care in Austria may be the result of competition, lack of a clear demarcation line between the primary and secondary level of care, and the presence of universal health coverage.Pathways between primary and secondary care should be strengthened as previous studies have shown that comparable countries lack the health benefits of strong primary care and its function for health care coordination.

Hospital competition and the expenses for treatments of acute and non-acute common diseases: evidence from China

Background

Because there is heterogeneity in disease types, competition among hospitals could be influenced in various ways by service provision for diseases with different characteristics. Limited studies have focused on this matter. This study aims to evaluate and compare the relationships between hospital competition and the expenses of prostatectomies (elective surgery, representing treatments of non-acute common diseases) and appendectomies (emergency surgery, representing treatments of acute common diseases).

Methods

Multivariable log-linear models were constructed to determine the association between hospital competition and the expenses of prostatectomies and appendectomies. The fixed-radius Herfindahl-Hirschman Index was employed to measure hospital competition.

Results

We collected data on 13,958 inpatients from the hospital discharge data of Sichuan Province in China from September to December 2016. The data included 3578 prostatectomy patients and 10,380 appendectomy patients. The results showed that greater competition was associated with a lower total hospital charge for prostatectomy (p = 0.006) but a higher charge for appendectomy (p <  0.001). The subcategory analysis showed that greater competition was consistently associated with lower out-of-pocket (OOP) and higher reimbursement for both surgeries.

Conclusions

Greater competition was significantly associated with lower total hospital charges for prostatectomies, while the opposite was true for appendectomies. Furthermore, greater competition was consistently associated with lower OOP but higher reimbursement for both surgeries. This study provides new evidence concerning the heterogeneous roles of competition in service provision for non-acute and acute common diseases. The findings of this study indicate that the pro-competition policy is a viable option for the Chinese government to relieve patients’ financial burden (OOP). Our findings also provide references and insights for other countries facing similar challenges.

Development and application of a survey instrument to measure collaboration among health care and social services organizations

OBJECTIVE

To measure strategies of interorganizational collaboration among health care and social service organizations that serve older adults.

STUDY SETTING

Twenty Hospital Service Areas (HSAs) in the United States.

STUDY DESIGN

We developed and validated a novel scale to characterize interorganizational collaboration, and then tested its application by assessing whether the scale differentiated between HSAs with high vs low performance on potentially avoidable health care use and spending for Medicare beneficiaries.

DATA COLLECTION

Health care and social service organizations (N = 173 total) in each HSA completed a 12-item collaboration scale, three questions about collaboration behaviors, and a detailed survey documenting collaborative network ties.

PRINCIPAL FINDINGS

We identified two distinguishable subscales of interorganizational collaboration: (a) Aligning Strategy and (b) Coordinating Current Work. Each subscale demonstrated convergent validity with the organization's position in the collaborative network, and with collaboration behaviors. The full scale and Coordinating Current Work subscale did not differentiate high- vs low-performing HSAs, but the Aligning Strategy subscale was significantly higher in high-performing HSAs than in low-performing HSAs (P = .01).

CONCLUSIONS

Cross-sector collaboration-and particularly Aligning Strategy-is associated with health care use and spending for older adults. This new survey measure could be used to track the impact of interventions to foster interorganizational collaboration.

Influence of workplace incivility on the quality of nursing care

AIMS AND OBJECTIVES

To examine the influence of workplace incivility on the quality of nursing care.

BACKGROUND

Recent evidence describes workplace incivility as a serious concern in the healthcare setting worldwide. Exposure to workplace incivility can alter a nurse's behaviour, thought process and perspective towards the nursing profession. However, there is insufficient evidence to determine whether workplace incivility might be associated with the quality of nursing care in Saudi Arabia.

DESIGN

A quantitative and cross-sectional study.

METHOD

A survey was carried out amongst 378 nurses in two government hospitals in Saudi Arabia from February 2018-May 2018 using the Nurse Incivility and quality of nursing care scales. Multivariate multiple regression was performed to investigate the influence of the uncivil experiences of nurses from different sources on the different aspects of quality of nursing care. The study adhered to STROBE guideline (see Appendix S1).

RESULTS

The overall mean of the quality of nursing care scale was 3.14 (SD = 0.66) from a scale of 1-5, with patient satisfaction receiving the highest mean dimension (mean = 3.27, SD = 0.72) and health promotion the lowest mean dimension (mean = 3.08, SD = 0.74). Experience in the present hospital and the hospital were associated with the overall quality of nursing care. General and nurse incivility exerted a multivariate effect on overall quality of nursing care and its different dimensions.

CONCLUSION

General incivility and nurse incivility were found to negatively impact quality of nursing care and its different dimensions.

RELEVANCE TO CLINICAL PRACTICE

Stronger policies geared towards eliminating workplace incivility should be implemented as uncivil acts can lead to poor quality of nursing care. Nurse administrators and nurses should be pro-active in recognising, preventing, approaching, reporting and intervening with uncivil acts in the hospital to protect these workers from these types of behaviours and avoid their negative impacts on patient care.

How improving access times had unforeseen consequences: a case study in a Dutch hospital

OBJECTIVES

To investigate the consequences of increasing capacity to reduce access times, and to explore how patient waiting times and use of physical capacity were influenced by variability.

DESIGN

A retrospective case study that combines both primary and secondary data. Secondary data were retrieved from a hospital database to establish inflow and outflow of patients, utilisation of resources and available capacity, realised access times and the weekly number of new patients seen over 1 year. Primary data consisted of field notes, onsite visits and observations, and semistructured interviews.

SETTING

A secondary care facility, that is, a rheumatology department, in a large Dutch hospital.

PARTICIPANTS

Analyses are based on secondary patient data from the hospital database, and the responses of the interviews with physicians, nurses and Lean Six Sigma project leaders.

RESULTS

The study shows that artificial variability was increased by managerial decisions to add capacity and to allow an increased inflow of new patients. This, in turn, resulted in undesirable and significant fluctuations in access times. We argue that we witnessed a new multiplier effect that typifies the fluctuations.

CONCLUSIONS

Adding capacity resources to reduce access times might appear an obvious and effective solution. However, the outcomes were less straightforward than expected, and even led to new artificial variability. The study reveals a phenomenon that is specific to service environments, and especially healthcare, and has detrimental consequences for access times.