A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing

Does financial incentive for diabetes management in the primary care setting reduce avoidable hospitalizations and mortality in high-income countries? A systematic review

Effective diabetes management can prevent avoidable diabetes-related hospitalizations. This review examines the impact of financial incentives for diabetes management in primary care settings on diabetes-related hospitalizations, hospitalization costs, and premature mortality. To assess the evidence, we conducted a literature search of studies using five databases: Medline, Embase, Scopus, CINAHL and Web of Science. We examined the results by health insurance system, study quality or diabetes population (newly diagnosed diabetes). We identified 32 articles ranging from fair- to high-quality: 19 articles assessed the relationship between financial incentives for diabetes management and hospitalizations, 8 assessed hospitalization costs, and 15 assessed mortality. Many studies found that financial incentives for diabetes management reduced hospitalizations, while a few found no effects. Similar findings were evident for hospitalization costs and mortality. The results did not differ by the type of health insurance system, but the quality of the studies did matter; most high-quality studies reported reduced hospitalizations and/or mortality. We also found that financial incentives tend to be beneficial for patients with newly diagnosed diabetes. We conclude that well-designed diabetes management incentives can reduce diabetes-related hospitalizations, especially for newly diagnosed diabetes patients.

Impact of Family Doctor Contract Services on Preventable Hospitalizations Amongst Patients with Hypertension in Rural China: Mediating Role of Primary Healthcare Quality

Purpose

The objective of this study was to explore the connection between family doctor contract services and preventable hospitalizations. Additionally, we sought to examine the role of primary health care quality as a mediating factor in the link between family doctor contract services and preventable hospitalizations among patients with hypertension.

Patients and Methods

This cross-sectional study was performed in Dangyang (Hubei Province, Central China) and Xishui (Guizhou Province, Western China) counties in July-August 2023. Participants comprised 625 patients selected via a multi-stage sampling method. Causal mediation analysis was conducted to explore the effect of family doctor contract services on preventable hospitalizations and the mediating effect of primary healthcare quality on this relationship.

Results

Utilization rate of family doctor contract services of hypertensive patients was 58.6%, score of primary health service quality was 70.75 and incidence of preventable hospitalizations was 28.2%. Amongst hypertensive patients, utilization of family doctor contract services decreased the occurrence of preventable hospitalizations, with a total effect of -0.22 (p < 0.001). Primary healthcare quality mediates the association, with a mediate effect of -0.05 (p < 0.001), explaining 22.73% of the total effect.

Conclusion

Improving the utilization of family doctor contract services and primary healthcare quality may result in lower rates of preventable hospitalizations amongst hypertensive patients.

Evaluating the impact of the 2010 Swedish choice reform in primary health care on avoidable hospitalization and socioeconomic inequities: an interrupted time series analysis using register data

BACKGROUND

The Swedish Primary Health Care (PHC) system has, like in other European countries, undergone a gradual transition towards marketization and privatization, most distinctly through a 2010 choice reform. The reform led to an overall but regionally heterogenous expansion of private PHC providers in Sweden, and with evidence also pointing to possible inequities in various aspects of PHC provision. Evidence on the reform's impact on population-level primary health care performance and equity in performance remains scarce. The present study therefore aimed to examine whether the increase in private provision after the reform impacted on population-average rates of avoidable hospitalizations, as well as on corresponding socioeconomic inequities.

METHODS

This register-based study used a multiple-group interrupted time-series design for the study period 2001-2017, with the study population (N = 51 million observations) randomly drawn from the total Swedish population aged 18-85 years. High, medium, and low implementing comparison groups were classified by tertiles of increase in private PHC providers after the reform. PHC performance was measured by avoidable hospitalizations, and socioeconomic position by education and income. Interrupted time series analysis based on individual-level data was used to estimate the reform impact on avoidable hospitalization risk, and on inequities through the Relative Index of Inequality (RII).

RESULTS

All three comparisons groups displayed decreasing risk of avoidable hospitalizations but increasing socioeconomic inequities across the study period. Compared to regions with little change in provision after the reform, regions with large increase in private provision saw a steeper decrease in avoidable hospitalizations after the reform (relative risk (95%): 1.6% (1.1; 2.1)), but at the same time steeper increase in inequities (by education: 2.0% (0.1%; 4.0); by income: 2.2% (-0.1; 4.3)).

CONCLUSIONS

The study suggests that the increase in private health care centers, enabled by the choice reform, contributed to a small improvement when it comes to overall PHC performance, but simultaneously to increased socioeconomic inequities in PHC performance. This duality in the impact of the Swedish reform also reflects the arguments in the European health policy debate on patient choice PHC models, with hopes of improved performance but fears of increased inequities.

Trajectory of medical expenditure and regional disparities in hypertensive patients in South Korea

The aim of this study is to understand how different regions influence the management and financial burden of hypertension, and to identify regional disparities in hypertension management and medical expenditure. The study utilized data from the Korean Health Panel Survey conducted between 2014 and 2018, focusing on individuals with hypertension. Medical expenditures were classified into three trajectory groups: "Persistent Low," "Expenditure Increasing," and "Persistent High" over a five-year period using trajectory analysis. Inverse Probability Weighting (IPW) analysis was then employed to identify the association between regions and medical expenditure trajectories. The results indicate that individuals residing in metropolitan cities (Busan, Daegu, Incheon, Gwangju, Daejeon, and Ulsan) and rural areas were more likely to belong to the "Expenditure Increasing" group compared to the "Persistent Low Expenditure" group (OR = 1.07; 95% CI; p < 0.001), as opposed to those in the capital city (Seoul) (OR = 1.07; 95% CI; p < 0.001). Additionally, residents of rural areas were more likely to be in the "High Expenditure" group compared to the "Persistent Low Expenditure" group than those residing in the capital city (OR = 1.05; 95% CI; p = 0.001). These findings suggest that individuals in rural areas may be receiving relatively inadequate management for hypertension, leading to higher medical expenditures compared to those in the capital region. These disparities signify health inequality and highlight the need for policy efforts to address regional imbalances in social structures and healthcare resource distribution to ensure equitable chronic disease management across different regions.

Hospital care direct costs due to ambulatory care sensitive conditions related to diabetes mellitus in the Mexican public healthcare system

BACKGROUND

Hospitalizations for ambulatory care sensitive conditions (ACSC) incur substantial costs on the health system that could be partially avoided with adequate outpatient care. Complications of chronic diseases, such as diabetes mellitus (DM), are considered ACSC. Previous studies have shown that hospitalizations due to diabetes have a significant financial burden. In Mexico, DM is a major health concern and a leading cause of death, but there is limited evidence available. This study aimed to estimate the direct costs of hospitalizations by DM-related ACSC in the Mexican public health system.

METHODS

We selected three hospitals from each of Mexico's main public institutions: the Mexican Social Security Institute (IMSS), the Ministry of Health (MoH), and the Institute of Social Security and Services for State Workers (ISSSTE). We employed a bottom-up microcosting approach from the healthcare provider perspective to estimate the total direct costs of hospitalizations for DM-related ACSC. Input data regarding length of stay (LoS), consultations, medications, colloid/crystalloid solutions, procedures, and laboratory/medical imaging studies were obtained from clinical records of a random sample of 532 hospitalizations out of a total of 1,803 DM-related ACSC (ICD-10 codes) discharges during 2016.

RESULTS

The average cost per DM-related ACSC hospitalization varies among institutions, ranging from $1,427 in the MoH to $1,677 in the IMSS and $1,754 in the ISSSTE. The three institutions' largest expenses are LoS and procedures. Peripheral circulatory and renal complications were the major drivers of hospitalization costs for patients with DM-related ACSC. Direct costs due to hospitalizations for DM-related ACSC in these three institutions represent 1% of the gross domestic product (GDP) dedicated to health and social services and 2% of total hospital care expenses.

CONCLUSIONS

The direct costs of hospitalizations for DM-related ACSC vary considerably across institutions. Disparities in such costs for the same ACSC among different institutions suggest potential disparities in care quality across primary and hospital settings (processes and resource utilization), which should be further investigated to ensure optimal supply utilization. Prioritizing preventive measures for peripheral circulatory and renal complications in DM patients could be highly beneficial.

Change in avoidable hospitalizations for low-income elders following quasi-market reform in primary care - Evidence from a natural experiment in Sweden

Quasi-market reforms have been increasingly implemented in tax-funded health care, but their effects in terms of equity, quality and socioeconomic differentials in quality remain sparsely studied. We create a natural experiment setup exploiting the differential timing of a set of quasi-market reforms - including patient choice, free establishment of providers and changes in provider remuneration -, implemented in primary care in the two largest Swedish regions (Stockholm and Västra Götaland) in 2008-2009. Using a database with individual level data from 2005 to 2009, we construct a difference-in-difference-in-differences model that compares pre to post reform changes in avoidable hospitalizations (AHs) for low-income elders and a matched comparison group, in the region exposed to, versus unexposed to, reform (total N ∼ 200 000). The results show that for low-income elders - a group dominated by older women - reform led to higher AH rates, i.e., worse primary health care quality, than what would have been the case in absence of reform. Specifically, low-income elders exposed to reform missed out on improvements in AHs seen simultaneously in the unexposed region. At the same time, the reform had on average no effect for comparable, non-low-income, peers. The fact that this pattern was specific for avoidable hospitalizations - judged as amenable to interventions in primary care -, but not present for total hospitalizations, supports that it was driven by reform implementation rather than other factors. The study contributes with high-quality empirical evidence to a policy relevant but sparsely researched area and highlights the necessity to consider differential effects of organizational changes across socioeconomic groups.

A novel application of interrupted time series analysis to identify the impact of a primary health care reform on intersectional inequities in avoidable hospitalizations in the adult Swedish population

Primary health care (PHC) systems are a crucial instrument for achieving equitable population health, but there is little evidence of how PHC reforms impact equities in population health. In 2010, Sweden implemented a reform that promoted marketization and privatization of PHC. The present study uses a novel integration of intersectionality-informed and evaluative epidemiological analytical frameworks to disentangle the impact of the 2010 Swedish PHC reform on intersectional inequities in avoidable hospitalizations. The study population comprised the total Swedish population aged 18-85 years across 2001-2017, in total 129 million annual observations, for whom register data on sociodemographics and hospitalizations due to ambulatory care sensitive conditions were retrieved. Multilevel Analysis of Individual Heterogeneity and Discriminatory Analyses (MAIHDA) were run for the pre-reform (2001-2009) and post-reform (2010-2017) periods to provide a mapping of inequities. In addition, random effects estimates reflecting the discriminatory accuracy of intersectional strata were extracted from a series MAIHDAs run per year 2001-2017. The estimates were re-analyzed by Interrupted Time Series Analysis (ITSA), in order to identify the impact of the reform on measures of intersectional inequity in avoidable hospitalizations. The results point to a complex reconfiguration of social inequities following the reform. While the post-reform period showed a reduction in overall rates of avoidable hospitalizations and in age disparities, socioeconomic inequities in avoidable hospitalizations, as well as the importance of interactions between complex social positions, both increased. Socioeconomically disadvantaged groups born in the Nordic countries seem to have benefited the least from the reform. The study supports a greater attention to the potentially complex consequences that health reforms can have on inequities in health and health care, which may not be immediate apparent in conventional evaluations of either population-average outcomes, or by simple evaluations of equity impacts. Methodological approaches for evaluation of complex inequity impacts need further development.

Development of indicators for avoidable emergency medical service calls by mapping paramedic clinical impression codes to ambulatory care sensitive conditions and mental health conditions in the UK and Canada

OBJECTIVE

Paramedic assessment data have not been used for research on avoidable calls. Paramedic impression codes are designated by paramedics on responding to a 911/999 medical emergency after an assessment of the presenting condition. Ambulatory care sensitive conditions (ACSCs) are non-acute health conditions not needing hospital admission when properly managed. This study aimed to map the paramedic impression codes to ACSCs and mental health conditions for use in future research on avoidable 911/999 calls.

DESIGN

Mapping paramedic impression codes to existing definitions of ACSCs and mental health conditions.

SETTING

East Midlands Region, UK and Southern Ontario, Canada.

PARTICIPANTS

Expert panel from the UK-Canada Emergency Calls Data analysis and GEospatial mapping (EDGE) Consortium.

RESULTS

Mapping was iterative first identifying the common ACSCs shared between the two countries then identifying the respective clinical impression codes for each country that mapped to those shared ACSCs as well as to mental health conditions. Experts from the UK-Canada EDGE Consortium contributed to both phases and were able to independently match the codes and then compare results. Clinical impression codes for paramedics in the UK were more extensive than those in Ontario. The mapping revealed some interesting inconsistencies between paramedic impression codes but also demonstrated that it was possible.

CONCLUSION

This is an important first step in determining the number of ASCSs and mental health conditions that paramedics attend to, and in examining the clinical pathways of these individuals across the health system. This work lays the foundation for international comparative health services research on integrated pathways in primary care and emergency medical services.

Double Disparity of Sexual Minority Status and Rurality in Cardiometabolic Hospitalization Risk: A Secondary Analysis Using Linked Population-Based Data

Studies have shown separately that sexual minority populations generally experience poorer chronic health outcomes compared with those who identify as heterosexual, as do rural populations compared with urban dwellers. This Canadian national observational study explored healthcare patterns at the little-understood intersections of lesbian, gay, or bisexual (LGB) identity with residence in rural and remote communities, beyond chronic disease status. The secondary analysis applied logistic regressions on multiple linked datasets from representative health surveys, administrative hospital records, and a geocoded index of community remoteness to examine differences in the risk of potentially avoidable cardiometabolic-related hospitalization among adults of working age. Among those with an underlying cardiometabolic condition and residing in more rural and remote communities, a significantly higher hospitalization risk was found for LGB-identified persons compared with their heterosexual peers (odds ratio: 4.2; 95% confidence interval: 1.5-11.7), adjusting for sociodemographic characteristics, behavioral risk factors, and primary healthcare access. In models stratified by sex, the association remained significant among gay and bisexual men (5.6; CI: 1.3-24.4) but not among lesbian and bisexual women (3.5; CI: 0.9-13.6). More research is needed leveraging linkable datasets to better understand the complex and multiplicative influences of sexual minority status and rurality on cardiometabolic health to inform equity-enhancing preventive healthcare interventions.

National Norms for Hospitalizations Due to Ambulatory Care Sensitive Conditions among Adults in the US

BACKGROUND

Ambulatory care sensitive conditions (ACSCs) are acute or chronic health issues that lead to potentially preventable hospitalizations when not treated in the outpatient primary care setting.

OBJECTIVE

To describe national hospitalization rates due to ACSCs among adult inpatients in the US.

DESIGN

A retrospective cross-sectional analysis of the 2018 US National Inpatient Sample (NIS) dataset from the Healthcare Cost and Utilization Project at the Agency of Healthcare Research and Quality was completed in the year 2022.

PARTICIPANTS

Participants were adult inpatients from community hospitals in 48 states of the US and District of Columbia.

MAIN MEASURES

ACSC admission rates were calculated using ICD-10 codes and the Purdy ACSC definition. The admission rates were weighted to the US inpatient population and stratified by age, sex, and race.

KEY RESULTS

ACSC hospitalization rates varied considerably across age and average number of hospitalizations varied across sex and race. ACSC hospitalization rates increased with age, male sex, and Native American and Black race. The most common ACSCs were pneumonia, diabetes, and congestive heart failure.

CONCLUSIONS

Previous studies have emphasized the importance of preventable hospitalizations, however, the national rates for ACSC hospitalizations across all ages in the US have not been reported. The national rates presented will facilitate comparisons to identify hospitals and health care systems with higher-than-expected rates of ACSC admissions that may suggest a need for improved primary care services.

Examining clinical capability of township healthcare centres for rural health service planning in Sichuan, China: an administrative data analysis

OBJECTIVE

This study aimed to examine the clinical capability of township healthcare centres (THCs), the main primary care providers in rural China, as a basis for rural health service planning.

DESIGN

Observational study of quantitative analysis using administrative data.

SETTING

Three counties with low, middle and high social economic development level, respectively, in Sichuan province western China.

PARTICIPANTS

9 THCs and 6 county hospitals (CHs) were purposively selected in the three counties. Summary of electronic medical records of 31 633 admissions from 1 January 2015 to 30 December 2015 of these selected health institutions was obtained from the Health Information Centre of Sichuan province.

MAIN OUTCOME MEASURES

Six indicators in scope of inpatient services related to diseases and surgeries in the THCs as proxy of clinical capability, were compared against national standard of capability building of THCs, among counties, and between THCs and CHs of each county.

RESULTS

The clinical capability of THCs was suboptimal against the national standard, though that of the middle-developed county was better than that in the rich and the poor counties. THCs mainly provided services of infectious or inflammatory diseases, of respiratory and digestive systems, but lacked clinical services related to injuries, poisoning, pregnancy, childbirth and surgeries. A large proportion of the top 20 diseases of inpatients were potentially avoidable hospitalisations (PAHs) and were overlapped between THCs and CHs.

CONCLUSIONS

The clinical capability of THCs was generally suboptimal against national standard. It may be affected by the economics, population size, facilities, workforce and the share of services of THCs in local health systems. Identification of absent services and PAHs may help to identify development priorities of local THCs. Clarification of the roles of THCs and CHs in the tiered rural health system in China is warranted to develop a better integrated health system.

Evaluating the Impact of a Novel Mobile Care Team on the Prevalence of Ambulatory Care Sensitive Conditions Presenting to Emergency Medical Services in Nova Scotia

INTRODUCTION

Hospitalization due to ambulatory care sensitive conditions (ACSC) is a proxy measure for access to primary care. Emergency Medical Services (EMS) are increasingly called when primary care cannot be accessed. A novel paramedic-nurse EMS Mobile Care Team (MCT) was implemented in an under-serviced community. The MCT responds in a non-transport unit to referrals from EMS, emergency and primary care, and to low-acuity 911 calls in a defined geographic region. Our objective was to compare the prevalence of ACSC in ground ambulance (GA) responses before and after the introduction of the MCT.

METHODS

A cross-sectional analysis of GA and MCT patients with ACSC (determined by chief complaint, clinical impression, treatment protocol, and medical history) from one year pre-MCT implementation to one year post-MCT implementation was conducted for the period of October 1, 2012, to September 30, 2014. Demographics were described. ACSC prevalence was compared using the chi-squared test.

RESULTS

There were 975 calls pre-MCT and 1208 GA/95 MCT calls post-MCT. ACSC in GA patients pre- and post-MCT was similar: n=122, 12.5% vs. n=185, 15.3%; p=0.06. ACSC in patients seen by EMS (GA plus MCT) increased in the post-MCT period: 122 (12.5%) vs. 204 (15.7%) p=0.04. Pre-MCT implementation vs post-implementation, GA ACSC calls differed significantly by sex with higher female utilization (n=50 vs. n=105; p=0.007), but not age (65.38, ± 15.12 vs. 62.51 ± 20.48; p=0.16). Post-MCT, the prevalence of specific ACSC increased for GA: hypertension (p<0.001) and congestive heart failure (p=0.04). MCT patients with ACSC were less likely to have a primary care provider compared to GA (90.2% and 87.6% vs. 63.2%; p=0.003, p=0.004).

CONCLUSION

The prevalence of ACSC did not decrease for GA with the introduction of the MCT, but ACSC in the overall patient population served by EMS increased. It is possible more patients with ACSC call, or are referred to EMS, for the new MCT service. Given that MCT patients were less likely to have a primary care provider, this may represent an increase in access to care or a shift away from other emergency/episodic care. These associations must be further studied to inform the ideal utility of adding such services to EMS and healthcare systems.

Evaluation of Survey Nonresponse in Measuring Cardiometabolic Health Risk Factors and Outcomes among Sexual Minority Populations: A National Data Linkage Analysis

Understanding cardiometabolic health among lesbian, gay, and bisexual (LGB) people is challenged by methodological constraints, as most studies are either based on nonprobability samples or assume that missing values in population-based samples occur at random. Linking multiple years of nationally representative surveys, hospital records, and geocoded data, we analyzed selection biases and health disparities by self-identified sexual orientation in Canada. The results from 202,560 survey respondents of working age identified 2.6% as LGB, 96.4% as heterosexual, and <1.0% with nonresponse to the sexual identity question. Those who did not disclose their sexual identity were older, less highly educated, less often working for pay, and less often residing in rural and remote communities; they also had a diagnosed cardiometabolic condition or experienced a cardiometabolic-related hospitalization more often. Among those reporting their sexual identity, LGB individuals were younger, more likely to smoke tobacco or drink alcohol regularly, more likely to have heart disease, and less likely to have a regular medical provider than heterosexual persons. This investigation highlighted the potential of leveraging linked population datasets to advance measurements of sexual minority health disparities. Our findings indicated that population health survey questions on sexual identity are not generally problematic, but cautioned that those who prefer not to state their sexual identity should neither be routinely omitted from analysis nor assumed to have been randomly distributed.

Machine learning to improve frequent emergency department use prediction: a retrospective cohort study

Frequent emergency department use is associated with many adverse events, such as increased risk for hospitalization and mortality. Frequent users have complex needs and associated factors are commonly evaluated using logistic regression. However, other machine learning models, especially those exploiting the potential of large databases, have been less explored. This study aims at comparing the performance of logistic regression to four machine learning models for predicting frequent emergency department use in an adult population with chronic diseases, in the province of Quebec (Canada). This is a retrospective population-based study using medical and administrative databases from the Régie de l'assurance maladie du Québec. Two definitions were used for frequent emergency department use (outcome to predict): having at least three and five visits during a year period. Independent variables included sociodemographic characteristics, healthcare service use, and chronic diseases. We compared the performance of logistic regression with gradient boosting machine, naïve Bayes, neural networks, and random forests (binary and continuous outcome) using Area under the ROC curve, sensibility, specificity, positive predictive value, and negative predictive value. Out of 451,775 ED users, 43,151 (9.5%) and 13,676 (3.0%) were frequent users with at least three and five visits per year, respectively. Random forests with a binary outcome had the lowest performances (ROC curve: 53.8 [95% confidence interval 53.5-54.0] and 51.4 [95% confidence interval 51.1-51.8] for frequent users 3 and 5, respectively) while the other models had superior and overall similar performance. The most important variable in prediction was the number of emergency department visits in the previous year. No model outperformed the others. Innovations in algorithms may slightly refine current predictions, but access to other variables may be more helpful in the case of frequent emergency department use prediction.

The impact of ambulatory care spending, continuity and processes of care on ambulatory care sensitive hospitalizations

Ambulatory care sensitive hospitalizations are widely considered as important measures of access to as well as quality and performance of primary care. In our study, we investigate the impact of spending, process quality and continuity of care in the ambulatory care sector on ambulatory care sensitive hospitalizations in patients with type 2 diabetes. We used observational data from Germany's major association of insurance companies from 2012 to 2014 with 55,924 patients, as well as data from additional sources. We conducted negative binomial regression analyses with random effects at the district level. To control for potential endogeneity of spending and physician density in the ambulatory care sector, we used an instrumental variable approach. We controlled for a wide range of covariates, such as age, sex, and comorbidities. The results of our analysis suggest that spending in the ambulatory care sector has weak negative effects on ambulatory care sensitive hospitalizations. We also found that continuity of care was negatively associated with hospital admissions. Patients with type 2 diabetes are at increased risk of hospitalization resulting from ambulatory care sensitive conditions. Our study provides some evidence that increased spending and improved continuity of care while controlling for process quality in the ambulatory care sector may be effective ways to reduce the rate of potentially avoidable hospitalizations among patients with type 2 diabetes.

Profiles of frequent emergency department users with chronic conditions: a latent class analysis

OBJECTIVES

Frequent emergency department users represent a small proportion of users while cumulating many visits. Previously identified factors of frequent use include high physical comorbidity, mental health disorders, poor socioeconomic status and substance abuse. However, frequent users do not necessarily exhibit all these characteristics and they constitute a heterogeneous population. This study aims to establish profiles of frequent emergency department users in an adult population with chronic conditions.

DESIGN

This is a retrospective cohort study using administrative databases.

SETTING

All adults who visited the emergency department between 2012 and 2013 (index date) in the province of Quebec (Canada), diagnosed with at least one chronic condition, and without dementia were included. Patients living in remote areas and who died in the year following their index date were excluded. We used latent class analysis, a probability-based model to establish profiles of frequent emergency department users. Frequent use was defined as having five visits or more during 1 year. Patient characteristics included sociodemographic characteristics, physical and mental comorbidities and prior healthcare utilisation.

RESULTS

Out of 4 51 775 patients who visited emergency departments at least once in 2012-2013, 13 676 (3.03%) were frequent users. Four groups were identified: (1) 'low morbidity' (n=5501, 40.2%), (2) 'high physical comorbidity' (n=3202, 23.4%), (3) 'injury or chronic non-cancer pain' (n=2313, 19.5%) and (4) 'mental health or alcohol/substance abuse' (n=2660, 16.9%).

CONCLUSIONS

The four profiles have distinct medical and socioeconomic characteristics. These profiles provide useful information for developing tailored interventions that would address the specific needs of each type of frequent emergency department users.

Differences in disease prevalence among homeless and non-homeless veterans at an urban VA hospital

OBJECTIVES

Approximately 10% of homeless adults in the US are veterans and that number is increasing. Veterans who experience homelessness tend to do so for longer periods compared to non-veterans; and homelessness is associated with more chronic disease complications. We compared the prevalence of five chronic, ambulatory-care sensitive conditions in homeless and domiciled individuals who received primary care at an urban VA hospital.

METHODS

Data were obtained from the Veteran's Hospital Administration clinical data warehouse. Differences in disease prevalence were compared between the two groups using chi-square analyses and then adjusted for age, gender, race/ethnicity, BMI, and other risk factors where appropriate, using logistic regression. All analyses were conducted using SAS version 9.4.

RESULTS

Homeless individuals were 46% more likely to have asthma (OR 1.46, 95% CI 1.16-1.84) and 40% more likely to have COPD (OR 1.40, 95% CI 1.14-1.73) after adjustment for age, gender, race/ethnicity, BMI, and tobacco use status. After adjustment for covariates, there was no difference between homeless and domiciled veterans in the prevalence of diabetes, hypertension, or congestive heart failure.

DISCUSSION

Future quality improvement projects should identify social-environmental risk factors like employment characteristics, and housing quality that can impact chronic respiratory illness prevalence and associated complications.

Factors Associated with Emergency Department Visits and Consequent Hospitalization and Death in Korea Using a Population-Based National Health Database

We aim to investigate common diagnoses and risk factors for emergency department (ED) visits as well as those for hospitalization and death after ED visits. This study describes the clinical course of ED visits by using the 2014–2015 population data retrieved from the National Health Insurance Service. Sociodemographic, medical, and behavioral factors were analyzed through multiple logistic regression. Older people were more likely to be hospitalized or to die after an ED visit, but younger people showed a higher risk for ED visits. Females were at a higher risk for ED visits, but males were at a higher risk for ED-associated hospitalization and death. Individuals in the highest quartile of income had a lower risk of ED death relative to lowest income level individuals. Disabilities, comorbidities, and medical issues, including previous ED visits or prior hospitalizations, were risk factors for all ED-related outcomes. Unhealthy behaviors, including current smoking, heavy alcohol consumption, and not engaging in regular exercise, were also significantly associated with ED visits, hospitalization, and death. Common diagnoses and risk factors for ED visits and post-visit hospitalization and death found in this study provide a perspective from which to establish health polices for the emergency medical care system.

Osteoporosis Care Gap After Hip Fracture - Worse With Low Healthcare Access and Quality

Despite the burden of osteoporosis-related fractures and availability of effective treatment, a substantial osteoporosis care gap persists. We evaluated this gap following fragility hip fracture, testing the hypothesis that patients who live in areas with low health care access or quality are less likely to undergo evaluation or treatment following hip fragility fracture. This retrospective analysis quantified osteoporosis evaluation and treatment just prior and for 12 mo following fragility hip fracture at an academic medical center in the upper Midwest. Initiation of pharmacologic therapy, Vitamin D screening and dual energy X-ray absorptiometry (DXA) scanning were measured. Each patient was assigned a value for 3 metrics of regional healthcare access and quality: (1) population per PCP ratio, (2) percent un-insured <65 yrs old, and (3) preventable hospitalization >65 yrs old. Generalized estimating equations, with county as a random effect, were used to assess the association of patient characteristics and/or heath care metrics with osteoporosis treatment at the time of admission and/or osteoporosis evaluation and treatment during hospitalization and post-discharge. A total of 585 patients were 80.7 ± 8.4 yrs of age at the time of hip fragility fracture; 68% were women. In 12 mo post-fracture, 17% underwent vitamin D screening, 12% received a DXA scan and 17% began a new bone anti-resorptive medication. Only in-hospital Vitamin D screening was more common in patients from counties with low healthcare access; all other pre- and post-fracture care was more common for patients with greater healthcare access and quality. Overall rates of initiating pharmacologic treatment and/or obtaining a Vitamin D screen or DXA scan following hip fragility fracture were very low and were worse in patients from counties with low access and quality of healthcare. These results remind the practitioner to diagnose and treat osteoporosis following hip fracture and suggests a role for targeting high-risk groups.

Number of health care teams and hospitalizations due to primary care sensitive conditions

This study aimed to analyze the correlation between the number of health care teams of the Family Health Strategy (FHS) and the number of hospitalizations due to primary care sensitive conditions (HPCSC) taking into account rates, costs and hospital days in a large municipality of the state of Minas Gerais, Brazil, between 2010 and 2019. We performed an ecological time series correlation study on HPCSC of patients hospitalized by the public health system. Data were obtained from the Hospital Information System of the IT Department of the Public Health System (DATASUS) and from the Primary Care Information and Management System. The correlation analysis was performed based on the number, gross and standardized rates, percentages, costs and hospital days of HPCSC and health care coverage (average number of teams) using Spearman's correlation coefficient at a significance level of 5% (p < 0.05). No satisfactory correlation was found in the entire period between the increase in the number of health care teams and HPCSC (except for the standardized hospitalization rate). However, during the period in which the FHS coverage of the population was greater than 70%, all correlations were inversely proportional and statistically significant.

Quantifying Ambulatory Care Use Preceding Emergency Department Visits and Hospitalizations for Ambulatory Care Sensitive Conditions

Ambulatory Care Sensitive Conditions (ACSC) represent a significant source of health care spending in the United States. Existing literature is largely descriptive and there is limited information about how an emergency department (ED) visit or hospitalization for ACSCs is related to prior ambulatory care visits. A retrospective, observational study was conducted using health records from a large midwestern health system during a 20-month period between 2012 and 2014. Our primary variables were (1) type of care setting (i.e., ED visit or hospitalization) and (2) whether the patient received ambulatory care services in the 14, 30, and 60 days before the ED visit or hospital admission. Of patients seen in the ED for ACSCs, 11.9%, 16.3%, and 21.67% were seen in ambulatory care in the 14, 30, and 60 days prior, respectively. Of those hospitalized for ACSCs, 29.1%, 39.9%, and 53% were seen in ambulatory care in the 14, 30, and 60 days prior, respectively. These results highlight a potential lost opportunity to address ACSCs in the ambulatory care setting. Such knowledge can inform interventions to reduce avoidable ACSC-related acute care use and health care costs, and improve patient outcomes.

The Impact of Rural Hospital Closures and Health Service Restructuring on Provincial- and Community-Level Patterns of Hospital Admissions in New Brunswick

In the early 2000s, the Province of New Brunswick, Canada, undertook health system restructuring, including closing some rural hospitals. We examined whether changes in geographic access to hospitals and primary care were associated with changes in patterns of hospital use. We described three measures of hospital use for ambulatory care sensitive conditions (ACSCs) among adults 75 years and younger annually during the period 2004-2013 overall, and at the community scale. We described spatial and temporal patterns in: age-standardized hospitalization rates, age-standardized incidence of hospital admissions, and rates of admissions via ambulance. Overall, rates and incidence of hospitalizations for ACSCs declined while admissions via ambulance remained largely unchanged. We observed considerable regional variation in rates between communities in 2004. This regional variation decreased over time, with rural areas demonstrating the sharpest declines. Changes in hospital service provision within individual communities had little impact on rates of ACSC admissions. Results were consistent across urban and rural communities and were robust to analyses that included older patients and those admitted for reasons other than ACSCs. Our results suggest that the restructuring and hospital closures did not result in substantial changes to regional patterns or rates of service use.

Avoidable hospitalizations and access to primary care: comparisons among Italians, resident immigrants and undocumented immigrants in administrative hospital discharge records

BACKGROUND

Immigrants face multiple barriers in accessing healthcare; however, empirical assessment of access presents serious methodological issues, and evidence on undocumented immigrants is scant and based mainly on non-representative samples. We examine avoidable hospitalization (AH) as an indicator of poor access to primary care (PC) in Italy, where a universal healthcare system guarantees access but fails to assign general practitioners to undocumented immigrants.

METHODS

Using anonymized national hospital discharge records in 2019, undocumented immigrants were identified through an administrative financing code. Potential effects of poor access to PC were measured by focusing on the incidence of AH, differentiated among chronic, acute and vaccine-preventable conditions, comparing Italian citizens, documented (foreign nationals with residence permits) and undocumented immigrants. We estimated odd ratios (ORs) through logistic regression models, controlling for individual and contextual confounders.

FINDINGS

Compared with Italians, undocumented and documented immigrants adjusted odd ratios (OR) for the risk of AH were 1·422 (95% CI 1·322-1·528) and 1·243 (95% CI 1·201-1·287), respectively. Documented immigrants showed ORs not significantly greater than 1 for AH due to chronic diseases compared with Italians, while undocumented immigrants registered higher adjusted OR for all AH categories - chronic (OR 1·187; 95% CI 1·064-1·325), acute (OR 1·645; 95% CI 1·500-1·803) and vaccine-preventable (OR 2·170; 95% CI 1·285-3·664).

INTERPRETATION

Documented and undocumented immigrants face considerably higher risk of AH compared to Italians. Considering the burden of AHs, access to PC (including preventive and ambulatory care) should be provided to undocumented immigrants, and additional barriers to care for all immigrants should be further explored.

FUNDING

None.

Financing Whole-Person Health

Background

Current payment models in the U.S. healthcare system are neither sustainable nor desirable. Expenses outpace revenue for most healthcare providers, while patients experience rising prices contrasted with inadequate health outcomes.

Objective

There is not a single, small adjustment that can remedy these issues; systemic problems require systemic solutions. One such solution involves whole-person care, an approach that emphasizes using diverse healthcare resources to align care with a patient’s values and goals as well as treat a patient’s physical, behavioral, emotional, and social risk factors.

Methods

In order to be most effective, whole-person care must be paired with a viable payment system that prioritizes positive outcomes and efficiency. The predominant fee-for-service payment system is not conducive to whole-person strategies.

Results

This paper examines the role of capitated payments, risk adjustments, social and structural determinants of health, and expense trends in an interdependent approach to healthcare industry system reform.

Conclusion

The Whole Health paradigm is optimized to improve both the financial performance of healthcare providers and the healthcare results of patients. Phased implementation is both feasible and sustainable.

Patients' Perspectives on Determinants Avoidable Hospitalizations: Development and Validation of a Questionnaire

Ambulatory care sensitive conditions (ACSC) can be avoided through effective care in the ambulatory setting. Patients are the most qualified individuals to express the social and individual contexts of their own experience. Thus, understanding why potentially preventable hospitalizations occur is important to develop patient-centred policies or interventions that may reduce them. This study aims to develop and validate a questionnaire to capture the patients' perspective on the causes of the hospitalizations for ACSC. The development of a new questionnaire involved four phases: a literature review, face validity, pre-test, and validation. We conducted a three-step face validity verification to confirm the relevance of the identified determinants and to collect determinants not previously identified by interviewing healthcare providers, representatives of patients' associations, and patients. Determinants were identified through the literature review predominantly in the "Healthcare Access", "Disease self-management", and "Social Support" domains. The validated resulting questionnaire comprises 25 questions, distributed by two dimensions (individual/contextual) covering seven domains and 20 determinants of ACSC hospitalization. Currently, there are no validated instruments as comprehensive and easy to use as the one described in this paper. This questionnaire should provide a base for further language/context validations.

Regional Economic Conditions and Preventable Hospitalization Among Older Patients With Diabetes

OBJECTIVE

The aim was to explore the relationship between changes in regional economic conditions and quality of care-preventable hospitalization or death among older patients with diabetes at Veterans Health Administration (VHA), safety-net system for veterans.

SUBJECTS

VHA patients aged 65 years and older with a diabetes diagnosis between July 2012 and June 2014, who had at least 1 primary care visit in the past year.

MEASURES

County-level and state-level public data were used to characterize regional health insurance coverage and affluence surrounding the VHA facilities. Each patient was associated with a VHA facility and its corresponding regional market variables, and followed up to 48 months or until they experienced diabetes-related Prevention Quality Indicators or death.

RESULTS

Discrete-time Cox proportional hazards models estimated that changes in regional market variables characterizing regional health insurance coverage and affluence were significant factors associated with preventable hospitalization or death. All regional market variables were combined into a demand index, where 1 SD decrease in the demand index was associated with a 2.0-point increase in predicted survival for an average patient at an average VHA facility. For comparison, a 1 SD increase in primary care capacity was associated with 4.7-point increase.

CONCLUSIONS

Downturns in regional economic conditions could increase demand for VHA care and raise the risk of diabetes-related preventable hospitalization or death among older VHA patients diagnosed with diabetes. Safety-net hospitals may be unfairly penalized for lower quality of care when experiencing higher demand for care because of an economic downturn.

Number of health care teams and hospitalizations due to primary care sensitive conditions

Abstract This study aimed to analyze the correlation between the number of health care teams of the Family Health Strategy (FHS) and the number of hospitalizations due to primary care sensitive conditions (HPCSC) taking into account rates, costs and hospital days in a large municipality of the state of Minas Gerais, Brazil, between 2010 and 2019. We performed an ecological time series correlation study on HPCSC of patients hospitalized by the public health system. Data were obtained from the Hospital Information System of the IT Department of the Public Health System (DATASUS) and from the Primary Care Information and Management System. The correlation analysis was performed based on the number, gross and standardized rates, percentages, costs and hospital days of HPCSC and health care coverage (average number of teams) using Spearman’s correlation coefficient at a significance level of 5% (p < 0.05). No satisfactory correlation was found in the entire period between the increase in the number of health care teams and HPCSC (except for the standardized hospitalization rate). However, during the period in which the FHS coverage of the population was greater than 70%, all correlations were inversely proportional and statistically significant.

Hospitalization for ambulatory care sensitive conditions: What conditions make inter-country comparisons possible?

Hospitalizations for ambulatory care sensitive conditions have been extensively used in health services research to assess access, quality and performance of primary health care. Inter-country comparisons can assist policy-makers in pursuing better health outcomes by contrasting policy design, implementation and evaluation. The objective of this study is to identify the conceptual, methodological, contextual and policy dimensions and factors that need to be accounted for when comparing these types of hospitalizations across countries. A conceptual framework for inter-country comparisons was drawn based on a review of 18 studies with inter-country comparison of ambulatory care sensitive conditions hospitalizations. The dimensions include methodological choices; population's demographic, epidemiologic and socio-economic profiles and features of the health services and system. Main factors include access and quality of primary health care, availability of health workforce and health facilities, health interventions and inequalities. The proposed framework can assist in designing studies and interpreting findings of inter-country comparisons of ambulatory care sensitive conditions hospitalizations, accelerating learning and progress towards universal health coverage.

Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation

Long-term future prediction of geographic areas with high rates of potentially preventable hospitalisations (PPHs) among residents, or "hotspots", is critical to ensure the effective location of place-based health service interventions. This is because such interventions are typically expensive and take time to develop, implement, and take effect, and hotspots often regress to the mean. Using spatially aggregated, longitudinal administrative health data, we introduce a method to make such predictions. The proposed method combines all subset model selection with a novel formulation of repeated k-fold cross-validation in developing optimal models. We illustrate its application predicting three-year future hotspots for four PPHs in an Australian context: type II diabetes mellitus, heart failure, chronic obstructive pulmonary disease, and "high risk foot". In these examples, optimal models are selected through maximising positive predictive value while maintaining sensitivity above a user-specified minimum threshold. We compare the model's performance to that of two alternative methods commonly used in practice, i.e., prediction of future hotspots based on either: (i) current hotspots, or (ii) past persistent hotspots. In doing so, we demonstrate favourable performance of our method, including with respect to its ability to flexibly optimise various different metrics. Accordingly, we suggest that our method might effectively be used to assist health planners predict excess future demand of health services and prioritise placement of interventions. Furthermore, it could be used to predict future hotspots of non-health events, e.g., in criminology.

The Burden of Diabetes-Related Preventable Hospitalization: 11-Year Trend and Associated Factors in a Region of Southern Italy

(1) Introduction: Diabetes care is complex and delivered by different care providers in different settings across the healthcare system. Better coordination through all levels of care can lead to better outcomes and fewer hospitalizations. Prevention quality indicators (PQIs) for diabetes allow us to monitor diabetes-related avoidable admissions. The aim of this research is to assess the trend of diabetes-related preventable hospitalizations and associated risk factors in a southern Italian region. (2) Methods: The study considered all hospital admissions performed from 2008 to 2018 in the Abruzzo region, Southern Italy. Data were collected from hospital discharge records. Four different indicators were evaluated as follows: short-term complications (PQI-01), long-term complications (PQI-03), uncontrolled diabetes (PQI-14) and lower-extremity amputations (PQI-16). Joinpoint models were used to evaluate the time trends of standardized rates and the average annual percent change (AAPC). (3) Results: During study period, 8660 DRPH were performed: 1298 among PQI-01, 3217 among PQI-03, 1975 among PQI-14 and 2170 among PQI-16. During the study period, PQI-01and PQI-04 showed decreasing trends. An increasing trend was showed by PQI-16. (4) Conclusions: During an 11-year period, admissions for short-term diabetes complications and for uncontrolled diabetes significantly decreased. The use of standardized tools as PQIs can help the evaluation of healthcare providers in developing preventive strategy.

A Longitudinal Analysis of Functional Disability, Recovery, and Nursing Home Utilization After Hospitalization for Ambulatory Care Sensitive Conditions Among Community-Living Older Persons

BACKGROUND/OBJECTIVE

Hospitalizations for ambulatory care sensitive conditions (ACSCs) are considered potentially preventable. With little known about the functional outcomes of older persons after ACSC-related hospitalizations, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident nursing home (NH) admission.

METHODS

The analytic sample included 251 ACSC-related hospitalizations from a cohort of 754 nondisabled, community-living persons aged 70 years and older who were interviewed monthly for up to 19 years. Patient-reported disability scores in basic, instrumental, and mobility activities ranged from 0 to 13. Functional recovery was defined as returning within 6 months of discharge to a total disability score less than or equal to that immediately preceding hospitalization.

RESULTS

The mean age was 85.1 years, and the mean disability score was 5.4 in the month prior to the ACSC-related hospitalization. After the ACSC-related hospitalization, total disability scores peaked at month 1 and improved modestly over the next 5 months, but remained greater than the pre-hospitalization score. Functional recovery was achieved by 70% of patients, and incident NH admission was experienced by 50% within 6 months after the 251 ACSC-related hospitalizations.

CONCLUSIONS

During the 6 months after an ACSC-related hospitalization, older persons exhibited total disability scores that were higher than those immediately preceding hospitalization, with 3 of 10 not achieving functional recovery and half experiencing incident NH admission. These findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.

Reducing inequality in avoidable emergency admissions: Case studies of local health care systems in England using a realist approach

OBJECTIVE

People in disadvantaged areas are more likely to have an avoidable emergency hospital admission. Socio-economic inequality in avoidable emergency hospital admissions is monitored in England. Our aim was to inform local health care purchasing and planning by identifying recent health care system changes (or other factors), as reported by local health system leaders, that might explain narrowing or widening trends.

METHODS

Case studies were undertaken in one pilot and at five geographically distinct local health care systems (Clinical Commissioning Groups, CCGs), identified as having consistently increasing or decreasing inequality. Local settings were explored through discussions with CCG officials and stakeholders to identify potential local determinants. Data were analysed using a realist evaluation approach to generate context-mechanism-outcome (CMO) configurations.

RESULTS

Of the five geographically distinct CCGs, two had narrowing inequality, two widening, and one narrowing inequality, which widened during the project. None of the CCGs had designed a large-scale package of service changes with the explicit aim of reducing socio-economic inequality in avoidable emergency admissions, and local decision makers were unfamiliar with their own trends. Potential primary and community care determinants included: workforce, case finding and exclusion, proactive care co-ordination for patients with complex needs, and access and quality. Potential commissioning determinants included: data use and incentives, and targeting of services. Other potential determinants included changes in care home services, national A&E targets, and wider issues - such as public services financial constraints, residential gentrification, and health care expectations.

CONCLUSIONS

We did not find any bespoke initiatives that explained the inequality trends. The trends were more likely due to an interplay of multiple health care and wider system factors. Local decision makers need greater awareness, understanding and support to interpret, use and act upon inequality indicators. They are unlikely to find simple, cheap interventions to reduce inequalities in avoidable emergency admissions. Rather, long-term multifaceted interventions are required that embed inequality considerations into mainstream decision making.

Reduced Risk of Hospitalization With Stronger Community Belonging Among Aging Canadians Living With Diabetes: Findings From Linked Survey and Administrative Data

Background: Social isolation has been identified as a substantial health concern in aging populations, associated with adverse chronic disease outcomes and health inequalities; however, little is known about the interconnections between social capital, diabetes management, and hospital burdens. This study aimed to assess the role of community belonging with the risk of potentially avoidable hospitalization among aging adults living with diabetes in Canada. Methods: The study leveraged a novel resource available through Statistics Canada's Social Data Linkage Environment: the Canadian Community Health Survey linked to administrative health records from the hospital Discharge Abstract Database. A population-representative sample of 13,580 community-dwelling adults aged 45 and over with diabetes was identified. Multiple logistic regression was used to assess the association of individuals' sense of community belonging with the risk of diabetes-related hospitalization over the period 2006-2012. Results: Most (69.9%) adults with diabetes reported a strong sense of belonging to their local community. Those who reported weak community belonging were significantly more likely to have been hospitalized for diabetes (χ2 = 13.82; p < 0.05). The association between weak community attachment and increased risk of diabetes hospitalization remained significant [adjusted OR: 1.80 (95%CI: 1.12-2.90)] after controlling for age, education, and other sociodemographic and behavioral factors. Conclusion: The COVID-19 pandemic has resurfaced attention to the need to better address social capital and diabetes care in public health strategies. While the causal pathways are unclear, this national study highlighted that deficits in social attachments may place adults with diabetes at greater risk of acute complications leading to hospitalization.

The relationship between rates of hospitalization for ambulatory care sensitive conditions and local access to primary healthcare in Manitoba First Nations communities : Results from the Innovation in Community-based Primary Healthcare Supporting Transformation in the Health of First Nations in Manitoba (iPHIT) study

OBJECTIVES

The objective of this study was to assess the performance of models of primary healthcare (PHC) delivered in First Nation and adjacent communities in Manitoba, using hospitalization rates for ambulatory care sensitive conditions (ACSC) as the primary outcome.

METHODS

We used generalized estimating equation logistic regression on administrative claims data for 63 First Nations communities from Manitoba (1986-2016) comprising 140,111 people, housed at the Manitoba Centre for Health Policy. We controlled for age, sex, and socio-economic status to describe the relationship between hospitalization rates for ACSC and models of PHC in First Nation communities.

RESULTS

Hospitalization rates for acute, chronic, vaccine-preventable, and mental health-related ACSCs have decreased over time in First Nation communities, yet remain significantly higher in First Nations and remote non-First Nations communities as compared with other Manitobans. When comparing different models of care, hospitalization rates were historically higher in communities served by health centres/offices, whether or not supplemented by itinerant medical services. These rates have significantly declined over the past two decades.

CONCLUSION

Local access to a broader complement of PHC services is associated with lower rates of avoidable hospitalization in First Nation communities. The lack of these services in many First Nation communities demonstrates the failure of the current Canadian healthcare system to meet the need of First Nation peoples. Improving access to PHC in all 63 First Nation communities can be expected to result in a reduction in ACSC hospitalization rates and reduce healthcare cost.

Potentially preventable hospitalisations for physical health conditions in community mental health service users: a population-wide linkage study

AIMS

Mental health (MH) service users have increased prevalence of chronic physical conditions such as cardio-respiratory diseases and diabetes. Potentially Preventable Hospitalisations (PPH) for physical health conditions are an indicator of health service access, integration and effectiveness, and are elevated in long term studies of people with MH conditions. We aimed to examine whether PPH rates were elevated in MH service users over a 12-month follow-up period more suitable for routine health indicator reporting. We also examined whether MH service users had increased PPH rates at a younger age, potentially reflecting the younger onset of chronic physical conditions.

METHODS

A population-wide data linkage in New South Wales (NSW), Australia, population 7.8 million. PPH rates in 178 009 people using community MH services in 2016-2017 were compared to population rates. Primary outcomes were crude and age- and disadvantage-standardised annual PPH episode rate (episodes per 100 000 population), PPH day rate (hospital days per 100 000) and adjusted incidence rate ratios (AIRR).

RESULTS

MH service users had higher rates of PPH admission (AIRR 3.6, 95% CI 3.5-3.6) and a larger number of hospital days (AIRR 5.2, 95% CI 5.2-5.3) than other NSW residents due to increased likelihood of admission, more admissions per person and longer length of stay. Increases were greatest for vaccine-preventable conditions (AIRR 4.7, 95% CI 4.5-5.0), and chronic conditions (AIRR 3.7, 95% CI 3.6-3.7). The highest number of admissions and relative risks were for respiratory and metabolic conditions, including chronic obstructive airways disease (AIRR 5.8, 95% CI 5.5-6.0) and diabetic complications (AIRR 5.4, 95% CI 5.1-5.8). One-quarter of excess potentially preventable bed days in MH service users were due to vaccine-related conditions, including vaccine-preventable respiratory illness. Age-related increases in risk occurred earlier in MH service users, particularly for chronic and vaccine-preventable conditions. PPH rates in MH service users aged 20-29 were similar to population rates of people aged 60 and over. These substantial differences were not explained by socio-economic disadvantage.

CONCLUSIONS

PPHs for physical health conditions are substantially increased in people with MH conditions. Short term (12-month) PPH rates may be a useful lead indicator of increased physical morbidity and less accessible, integrated or effective health care. High hospitalisation rates for vaccine-preventable respiratory infections and hepatitis underline the importance of vaccination in MH service users and suggests potential benefits of prioritising this group for COVID-19 vaccination.

Strong and sustainable primary healthcare is associated with a lower risk of hospitalization in high risk patients

In 2004, Germany introduced a program based on voluntary contracting to strengthen the role of general practice care in the healthcare system. Key components include structured management of chronic diseases, coordinated access to secondary care, data-driven quality improvement, computerized clinical decision-support, and capitation-based reimbursement. Our aim was to determine the long-term effects of this program on the risk of hospitalization of specific categories of high-risk patients. Based on insurance claims data, we conducted a longitudinal observational study from 2011 to 2018 in Baden-Wuerttemberg, Germany. Patients were assigned to one or more of four open cohorts (in 2011, elderly, n = 575,363; diabetes mellitus, n = 163,709; chronic heart failure, n = 82,513; coronary heart disease, n = 125,758). Adjusted for key patient characteristics, logistic regression models were used to compare the hospitalization risk of the enrolled patients (intervention group) with patients receiving usual primary care (control group). At the start of the study and throughout long-term follow-up, enrolled patients in the four cohorts had a lower risk of all-cause hospitalization and ambulatory, care-sensitive hospitalization. Among patients with chronic heart failure and coronary heart disease, the program was associated with significantly reduced risk of cardiovascular-related hospitalizations across the eight observed years. The effect of the program also increased over time. Over the longer term, the results indicate that strengthening primary care could be associated with a substantial reduction in hospital utilization among high-risk patients.

Beyond weight: examining the association of obesity with cardiometabolic related inpatient costs among Canadian adults using linked population based survey and hospital administrative data

BACKGROUND

The global population has transitioned to one where more adults are living with obesity than are underweight. Obesity is associated with the development of cardiometabolic diseases and widely attributed to increased hospital resource use; however, empirical evidence is limited regarding obesity prevention to support hospital cost containment. This study aims to test for obesity in predicting hospitalization costs for cardiometabolic conditions among the Canadian population aged 45 and over.

METHODS

Data from the 2007-2011 Canadian Community Health Survey were linked to eight years of hospital discharge records. A cohort was identified of inpatients admitted for diabetes, hypertension, and other cardiometabolic diseases. Multiple linear regressions were used to investigate the association between obesity status and inpatient costs, controlling for sociodemographic and behavioural factors.

RESULTS

The target cohort included 23,295 admissions for cardiometabolic diseases. Although inflation-adjusted inpatient costs generally increased over time, compared with the non-obese group, living with obesity was not a significant predictor of differences in cardiometabolic-related resource use (0.972 [95% CI: 0.926-1.021]). Being female and rural residence were found to be protective factors.

CONCLUSIONS

Obesity was not found in this study to be independently linked to higher cardiometabolic hospitalization costs, suggesting that actions to mitigate disease progression in the population may be more beneficial than simply promoting weight loss. Results amplified the need to consider gender and urbanization when formulating which levers are most amenable to adoption of healthy lifestyles to reduce impacts of obesogenic environments to the healthcare system.

Primary care visits can reduce the risk of potentially avoidable hospitalizations among persons with diabetes in France

BACKGROUND

Diabetes is a frequent chronic condition, which can lead to costly complications if not managed well in the primary care setting. Potentially avoidable hospitalizations (PAH) are considered as an indirect measure of primary care. However, the association between primary care use and PAH in diabetic patients has not been investigated in France.

METHODS

We investigate the association between primary care indicators and PAH at an individual level among persons with diabetes in a population-based cohort study on the French national health insurance database (EGB sample). PAH occurrence in 2013 was modeled as a function of primary care use and access, health status and socio-economic indicators over the exposure period 2011-12 using a cause-specific hazards model with death as a competing event.

RESULTS

We included 25 293 diabetics in our cohort, among which 385 (1.5%) experienced at least 1 PAH in 2013. After adjustment on health status indicators, primary care use had a protective effect against PAH. Diabetic patients who had seen a general practitioner (GP) 10-14 times had a reduced hazard of PAH compared to less frequent encounters (HR=0.49, P<0.001). The effect size decreased when the number of encounters increased, suggesting a remaining confounding effect of health status.

CONCLUSIONS

For the first time in France, this study shows a protective effect of the number of GP encounters against PAH at an individual level and highlights the importance of a frequent monitoring of diabetic patients in the primary care setting to prevent PAH occurrence.

Impact of Brazil's More Doctors Program on hospitalizations for primary care sensitive cardiovascular conditions

Globally, cardiovascular diseases are the leading cause of disease burden and death. Timely and appropriate provision of primary care may lead to sizeable reductions in hospitalizations for a range of chronic and acute health conditions. In this paper, we study the impact of Brazil's More Doctors Program (MDP) on hospitalizations due to cerebrovascular disease and hypertension. We exploit the geographic variation in the uptake of the MPD and combine coarsened exact matching and difference-in-difference methods to construct valid counterfactual estimates. We use data from the Hospital Information System in Unified Health System, the MDP administrative records, the Brazilian Regulatory Agency, the Ministry of Health, and the Brazilian Institute of Geography and Statistics, covering the years from 2009 to 2017. Our analysis resulted in estimated coefficients of -1.47 (95%CI: -4.04,1.10) for hospitalizations for cerebrovascular disease and -1.20 (95%CI: -5.50,3.11) for hypertension, suggesting an inverse relationship between the MDP and hospitalizations. For cerebrovascular disease, the estimated MDP coefficient was -0.50 (95%CI: -2.94,1.95) in the year of program introduction, -5.21 (95%CI: -9.43,-0.99) and -8.21 (95%CI: -13.68,-2.75) in its third and fourth year of implementation, respectively. Our results further suggest that the beneficial impact of MDP on hospitalizations due to cerebrovascular disease became discernable in urban municipalities starting from the fourth year of implementation. We found no evidence that the MDP led to reductions in hospitalizations due to hypertension. Our results highlight that increased investment in resources devoted to primary care led to improvements in hospitalizations for selected cardiovascular conditions. However, it took time for the beneficial effects of the MDP to become discernable and the Program did not guarantee declines in hospitalizations for all cardiovascular conditions, suggesting that further improvements may be needed to enhance the beneficial impact of the MDP on the level and distribution of population health in Brazil.

Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis

BACKGROUND/OBJECTIVES

Frequent geriatric users of emergency departments (EDs) represent a complex and heterogeneous population. Identifying their specific subgroups would allow the development of interventions better customized to their needs and characteristics. Thus, this study aimed to develop profiles of frequent geriatric ED users using the individual characteristics of patients.

DESIGN

This was a retrospective cohort study.

SETTING

Databases from the Régie de l'assurance maladie du Québec (RAMQ) were utilized. PARTICIPANTSThis study included individuals aged 65 years or older living in the community in the Province of Quebec (Canada), who consulted in an ED at least four times in the year after an ED index date (an ED visit, chosen randomly, during an index period of January 1, 2012 to December 31, 2013) and who had received a diagnosis of ambulatory care-sensitive conditions (ACSCs) in the 2 years preceding the index date.

MEASUREMENTS

A latent class analysis was used to identify subgroups of frequent geriatric ED users according to their individual characteristics, including ACSC type, dementia, mental health disorders, cancer diagnosis, and comorbidity index.

RESULTS

The study cohort consisted of 21,393 frequent geriatric ED users. Four groups of frequent geriatric ED users were identified: people with low comorbidity (39.0%), comprising the individuals with the lowest number of physical and mental health conditions; people with cancer (32.7%); people with pulmonaryand cardiac diseases (18.1%); and people with dementia or mental health disorders (10.2%), composed of individuals with the highest proportion of common and severe mental health disease, as well as dementia. This group accounts for the highest use of overall healthcare services.

CONCLUSION

These profiles will be useful in developing customized interventions addressing the needs of each subgroup of frequent geriatric ED users. More research is needed to bridge the remaining gaps, especially regarding the healthiest frequent geriatric users of EDs.

Potentially Preventable Hospitalizations Among Older Adults: 2010-2014

PURPOSE

We undertook a study to examine national trends in potentially preventable hospitalizations-those for ambulatory care-sensitive conditions that could have been avoided if patients had timely access to primary care-across 3,200 counties and various subpopulations of older adults in the United States.

METHODS

We used 2010-2014 Medicare claims data to examine trends in potentially preventable hospitalizations among beneficiaries aged 65 years and older and developed heat maps to examine county-level variation. We used a generalized estimating equation and adjusted the model for demographics, comorbidities, dual eligibility (Medicare and Medicaid), ZIP code-level income, and county-level number of primary care physicians and hospitals.

RESULTS

Across the 3,200 study counties, potentially preventable hospitalizations decreased in 327 counties, increased in 123 counties, and did not change in the rest. At the population level, the adjusted rate of potentially preventable hospitalizations declined by 3.45 percentage points from 19.42% (95% CI, 18.4%-20.5%) in 2010 to 15.97% (95% CI, 15.3%-16.6%) in 2014; it declined by 2.93, 2.87, and 3.33 percentage points among White, Black, and Hispanic patients to 14.96% (95% CI, 14.67%-15.24%), 17.92% (95% CI, 17.27%-18.58%), and 17.10% (95% CI, 16.25%-18.0%), respectively. Similarly, the rate for dually eligible patients fell by 3.71 percentage points from 21.62% (95% CI, 20.5%-22.8%) in 2010 to 17.91% (95% CI, 17.2%-18.7%) in 2014. (P <.001 for all).

CONCLUSIONS

During 2010-2014, rates of potentially preventable hospitalization did not change in the majority of counties. At the population level, although the rate declined among all subpopulations, dually eligible patients and Black and Hispanic patients continued to have substantially higher rates compared with non-dually eligible and White patients, respectively.

GP- and practice-related variation in ambulatory sensitive hospitalisations of older primary care patients

Background

Reducing ambulatory sensitive hospitalisations (ASHs) is a strategy to control spending on hospital care and to improve quality of primary health care. This research investigated whether ASH rates in older people varied by GP and practice characteristics.

Methods

We identified ASHs from the national dataset of hospital events for 3755 community-dwelling participants aged 75+ enrolled in a cluster randomised controlled trial involving 60 randomly selected general practices in three regions in New Zealand. Poisson mixed models of 36-month ASH rates were fitted for the entire sample, for complex participants, and non-complex participants. We examined variation in ASH rates according to GP- and practice-level characteristics after adjusting for patient-level predictors of ASH.

Results

Lower rates of ASHs were observed in female GPs (IRR 0.83, CI 0.71 to 0.98). In non-complex participants, but not complex participants, practices in more deprived areas had lower ASH rates (4% lower per deprivation decile higher, IRR 0.96, CI 0.92 to 1.00), whereas main urban centre practices had higher rates (IRR 1.84, CI 1.15 to 2.96). Variance explained by these significant factors was small (0.4% of total variance for GP sex, 0.2% for deprivation, and 0.5% for area type). None of the modifiable practice-level characteristics such as home visiting and systematically contacting patients were significantly associated with ASH rates.

Conclusions

Only a few GP and non-modifiable practice characteristics were associated with variation in ASH rates in 60 New Zealand practices interested in a trial about care of older people. Where there were significant associations, the contribution to overall variance was minimal. It also remains unclear whether lower ASH rates in older people represents underservicing or less overuse of hospital services, particularly for the relatively well patient attending practices in less central, more disadvantaged communities. Thus, reducing ASHs through primary care redesign for older people should be approached carefully.

Trial registration

Australian and New Zealand Clinical Trials Register ACTRN12609000648224.

Disparities in the hospital cost of cardiometabolic diseases among lesbian, gay, and bisexual Canadians: a population-based cohort study using linked data

OBJECTIVES

Sexual identity has been recognized as a social determinant of health; however, evidence is limited on sexual minority status as a possible contributor to inequalities in cardiometabolic outcomes and the related hospital burden. This study aimed to investigate the association between sexual identity and hospital costs for cardiometabolic diseases among a cohort of Canadians using linked survey and administrative data.

METHODS

Data from the 2007-2011 Canadian Community Health Survey were linked to acute-care inpatient records from the 2005/2006-2012/2013 Discharge Abstract Database. Multiple linear regression was used to assess the association between self-reported sexual identity and inpatient resource use for cardiometabolic diseases.

RESULTS

Among the population ages 18-59, 2.1% (95% CI 1.9-2.2) identified as lesbian, gay, or bisexual (LGB). LGB individuals more often reported having diabetes or heart disease compared with heterosexuals. The mean inflation-adjusted cost for cardiometabolic-related hospitalizations was found to be significantly higher among LGB patients (CAD$26,702; 95% CI 26,166-60,365) than among their heterosexual counterparts ($10,137; 95% CI 8,639-11,635), in part a reflection of longer hospital stays (13.6 days versus 5.1 days). Inpatient costs remained 54% (95% CI 8-119) higher among LGB patients after controlling for socio-demographics, health status, and health behaviours.

CONCLUSION

This study revealed a disproportionate cost for potentially avoidable hospitalizations for cardiometabolic conditions among LGB patients, suggesting important unmet healthcare needs even in the Canadian context of universal coverage.

Impact of family physician integrated care program on decreasing utilization of emergency department visit and hospital admission: a population-based retrospective cohort study

BACKGROUND

Hospital admission and emergency department(ED) visits are a massive burden in medical expenditures. In 2003, the Taiwanese government developed Family Physician Integrated Care Program (FPIC) to increase the quality of primary care and decrease medical expenditures. This study's goals were to determine whether FPIC decreased hospital admissions and ED visits and identify the factors influencing the outcomes.

METHODS

This nationwide retrospective cohort study was conducted for the period between 2006 and 2013 by using data obtained from the Taiwan National Health Insurance Research Database. A total of 68,218 individuals were divided into those who joined FPIC and those who did not. We used propensity score matching at a ratio of 1:1 and logistic regression with the generalized estimating equation (GEE) model having a difference-in-difference design to investigate the effects of the FPIC policy on hospital admissions and ED visits in 7 years.

RESULTS

Using logistic regression with the GEE model with the difference-in-difference design, we found no reduction in ED visits and hospital admissions between the two groups. The participants' risk of hospital admissions increased in the first year after joining FPIC (OR: 1.11, 95% CI: 1.03-1.20, P < .05). However, participants who joined FPIC showed an 8% lower risk of hospital admissions in the sixth and seventh years after joining FPIC, compared with those who did not join FPIC (OR: 0.92, 95% CI: 0.85-1.00, P < .05).

CONCLUSIONS

FPIC in Taiwan could not decrease medical utilization initially but might reduce hospital admissions in the long term.

Effect Modification of Multimorbidity on the Association Between Regularity of General Practitioner Contacts and Potentially Avoidable Hospitalisations

BACKGROUND

Scheduled regular contact with the general practitioner (GP) may lower the risk of potentially avoidable hospitalisations (PAHs). Despite the high prevalence of multimorbidity, little is known about its effect on the relationship between regularity of GP contact and PAHs.

OBJECTIVE

To investigate potential effect modification of multimorbidity on the relationship between regularity of GP contact and probability of PAHs.

DESIGN

A retrospective, cross-sectional study.

PARTICIPANTS

229,964 individuals aged 45 years and older from the 45 and Up Study in New South Wales, Australia, from 2009 to 2015.

MAIN MEASURES

The main exposure was regularity of GP contact (capturing dispersion of GP contacts); the outcomes were PAHs evaluated by unplanned hospitalisations, chronic ambulatory care sensitive condition (ACSC) hospitalisations and unplanned chronic ACSC hospitalisations. Multivariable logistic regression models and population attributable fractions (PAF) were conducted to identify effect modification of multimorbidity, assessed by Rx-Risk comorbidity score.

KEY RESULTS

Compared with the lowest quintile of regularity, the highest quintile had significantly lower predicted probability of unplanned admission (- 79.9 per 1000 people at risk, 95% confidence interval (CI) - 85.6; - 74.2), chronic ACSC (- 6.07 per 1000 people at risk, 95%CI - 8.07; - 4.08) and unplanned chronic ACSC hospitalisation (- 4.68 per 1000 people at risk, 95%CI - 6.11; - 3.26). Effect modification of multimorbidity was observed. Specifically, the PAF among people with no multimorbidity indicated that 31.7% (95%CI 28.7-34.4%) of unplanned, 36.4% (95%CI 25.1-45.9%) of chronic ACSC and 48.9% (95%CI 32.9-61.1%) of unplanned chronic ACSC hospitalisation would be reduced by a shift to the highest quintile of regularity. However, among people with 10+ morbidities, the proportional reduction was only 5.2% (95%CI 3.8-6.5%), 9.0% (95%CI 0.5-16.8%) and 17.8% (95%CI 5.4-28.5%), respectively.

CONCLUSIONS

Weakening of the association between regularity and PAHs with increasing levels of multimorbidity suggests a need to improve primary care support to prevent PAHs for patients with multimorbidity.

Time protective effect of contact with a general practitioner and its association with diabetes-related hospitalisations: a cohort study using the 45 and Up Study data in Australia

OBJECTIVES

To evaluate the relationship between the proportion of time under the potentially protective effect of a general practitioner (GP) captured using the Cover Index and diabetes-related hospitalisation and length of stay (LOS).

DESIGN

An observational cohort study over two 3-year time periods (2009/2010-2011/2012 as the baseline and 2012/2013-2014/2015 as the follow-up).

SETTING

Linked self-report and administrative health service data at individual level from the 45 and Up Study in New South Wales, Australia.

PARTICIPANTS

A total of 21 965 individuals aged 45 years and older identified with diabetes before July 2009 were included in this study.

MAIN OUTCOME MEASURES

Diabetes-related hospitalisation, unplanned diabetes-related hospitalisation and LOS of diabetes-related hospitalisation and unplanned diabetes-related hospitalisation.

METHODS

The average annual GP cover index over a 3-year period was calculated using information obtained from Australian Medicare and hospitalisation. The effect of exposure to different levels of the cover on the main outcomes was estimated using negative binomial models weighted for inverse probability of treatment weight to control for observed covariate imbalance at the baseline period.

RESULTS

Perfect GP cover was observed among 53% of people with diabetes in the study cohort. Compared with perfect level of GP cover, having lower levels of GP cover including high (incidence rate ratio (IRR) 2.8, 95% CI 2.6 to 3.0), medium (IRR 3.2, 95% CI 2.7 to 3.8) and low (IRR 3.1, 95% CI 2.0 to 4.9) were significantly associated with higher number of diabetes-related hospitalisation. Similar association was observed between the different levels of GP cover and other outcomes including LOS for diabetes-related hospitalisation, unplanned diabetes-related hospitalisation and LOS for unplanned diabetes-related hospitalisation.

CONCLUSIONS

Measuring longitudinal continuity in terms of time under cover of GP care may offer opportunities to optimise the performance of primary healthcare and reduce secondary care costs in the management of diabetes.

The effect of primary care on potentially avoidable hospitalizations in France: a cross-sectional study

Background

Potentially avoidable hospitalizations are an indirect measure of access to primary care. However, the role and quality of primary care might vary by geographical location. The main objective was to assess the impact of primary care on geographic variations of potentially avoidable hospitalizations in Occitanie, France.

Methods

We conducted a retrospective analysis of claims and socio-economic data for the French Occitanie region in 2014. In order to account for spatial heterogeneity, the region was split into two zones based on socio-economic traits: median pre-tax income and unemployment rate. Age- and sex-adjusted hospital discharge potentially avoidable hospitalization rates were calculated at the ZIP-code level. Demographic, socio-economic, and epidemiological determinants were retrieved, as well as data on supply of, access to and utilization of primary care.

Results

72% of PAH are attributable to two chronic conditions: chronic obstructive pulmonary disease and heart failure. In Zone 1, the potentially avoidable hospitalization rate was positively associated with premature mortality and with the number of specialist encounters by patients. It was negatively associated with the density of nurses. In Zone 2, the potentially avoidable hospitalization rate was positively associated with premature mortality, with access to general practitioners, and with the number of nurse encounters by patients. It was negatively associated with the proportion of the population having at least one general practitioner encounter and with the density of nurses.

Conclusions

This study suggests that the role of primary care in potentially avoidable hospitalizations might be geography dependent.

Risk factors for avoidable hospitalizations in Canada using national linked data: A retrospective cohort study

Hospitalizations for certain chronic conditions are considered avoidable for adult Canadians given effective and timely primary care management. Individual-level risk factors such as income and health behaviours are not routinely collected in most hospital databases and as a result, are largely uncharacterized for avoidable hospitalization at the national level. The aim of this study was to identify and describe demographic, socioeconomic, and health behavioural risk factors for avoidable hospitalizations in Canada using linked data. A national retrospective cohort study was conducted by pooling eight cycles of the Canadian Community Health Survey (2000/2001-2011) and linking to hospitalization records in the Discharge Abstract Database (1999/2000–2012/2013). Respondents who were younger than 18 years and older than 74 years of age, residing in Quebec, or pregnant at baseline were excluded yielding a final cohort of 389,065 individuals. The primary outcome measure was time-to index avoidable hospitalization. Sex-stratified Cox proportional hazard models were constructed to determine effect sizes adjusted for various factors and their associated 95% confidence intervals. Demographics, socioeconomic status, and health behaviours are associated with risk of avoidable hospitalizations in males and females. In fully adjusted models, health behavioural variables had the largest effect sizes including heavy smoking (Male HR 2.65 (95% CI 2.17–3.23); Female HR 3.41 (2.81–4.13)) and being underweight (Male HR 1.98 (1.14–3.43); Female HR 2.78 (1.61–4.81)). Immigrant status was protective in both sexes (Male HR 0.83 (0.69–0.98); (Female HR 0.69 (0.57–0.84)). Adjustment for behavioural and clinical variables attenuated the effect of individual-level socioeconomic status. This study identified several risk factors for time-to-avoidable hospitalizations by sex, using the largest national database of linked health survey and hospitalization records. The larger effect sizes of several modifiable risk factors highlights the importance of prevention in addressing avoidable hospitalizations in Canada.