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This study is to examine factors contributing to the variability in chronic obstructive pulmonary disorder (COPD) and asthma hospitalization rates when the influence of patient characteristics is being simultaneously considered by applying a risk adjustment method.

A longitudinal analysis of COPD and asthma hospitalization of rural Medicare beneficiaries in 427 rural health clinics (RHCs) was conducted utilizing administrative data and inpatient and outpatient claims from Region 4. The repeated measures of risk-adjusted COPD and asthma admission rate were analyzed by growth curve modeling. A generalized estimating equation (GEE) method was used to identify the relevance of selected predictors in accounting for the variability in risk-adjusted admission rates for COPD and asthma.

Both adjusted and unadjusted rates of COPD admission showed a slight decline from 2010 to 2013. The growth curve modeling showed the annual rates of change were gradually accentuated through time. GEE revealed that a moderate amount of variance (marginal R ² = 0.66) in the risk-adjusted hospital admission rates for COPD and asthma was accounted for by contextual, ecological, and organizational variables.

The contextual, ecological, and organizational factors are those associated with RHCs, not hospitals. We cannot infer how the variability in hospital practices in RHC service areas may have contributed to the disparities in admissions. Identification of RHCs with substantially higher rates than an average rate can portray the need for further enhancement of needed ambulatory or primary care services for the specific groups of RHCs. Because the risk-adjusted rates of hospitalization do not vary by classification of rural area, future research should address the variation in a specific COPD and asthma condition of RHC patients.

Risk-adjusted admission rates for COPD and asthma are influenced by the synergism of multiple contextual, ecological, and organizational factors instead of a single factor.

Purpose: We present findings from a longitudinal investigation, the purpose of which was to compare health disparities of rural Latino older adult patients diagnosed with diabetes to their non-Latino White counterparts.

Methodology/Approach: A pre-post design was implemented treating Medicare Accountable Care Organization (ACO) participation by Rural Health Clinics (RHCs) as an intervention, and using diabetes-related hospitalizations to measure disparities. Data for a nationwide panel of 2,683 RHCs were analyzed for a study period of eight years: 2008–2015. In addition, data were analyzed for a subset of 116 RHCs located in Florida, Texas, and California that participated in a Medicare ACO in one or more years of the study period.

Findings: Two broad findings resulted from this investigation. First, for both the nationwide panel of RHCs and the three-state sample of “ACO RHCs,” there was a decrease in the mean disparities in diabetes-related hospitalization rates over the eight-year study period. Second, in comparing a three-year time period after Medicare ACO implementation in 2012 to a four-year period before the implementation, a statistically significant difference in mean disparities was found for the nationwide panel.

Research Limitations/Implications: There are a number of factors that may contribute to the decrease in diabetes-related hospitalization rates for Latinos in more recent years. Future research will identify specific contributors to reducing diabetes-related hospitalization disparities between Latinos and the general population, including the possible influence of ACO participation by RHCs.

Originality/Value of Paper: This chapter presents original research conducted using data related to rural Latino older adults. The data represent multiple states and an eight-year time period. The US Latino population is growing at a rapid pace. As a group, they are at a high risk for developing diabetes, the complications of which are serious and costly to the patient and the US healthcare system. With the continued growth of the Latino population, it is critical that their health disparities be monitored, and that factors that contribute to their health and well-being be identified and promoted.

The aim of this paper is to support public decision‐makers in a local healthcare agency (LHA) in evaluating the effects of different de‐hospitalization strategies and the potential for outsourcing clinical services.

The approach adopted is based on the “patient pathway” perspective. Starting from the identification of specific care pathways, all the feasible care paths in a given LHA in Italy are investigated in order to evaluate the practicability of the de‐hospitalization of some phases with a particular focus on co‐ordination of hospitals and territorial services. A heuristic approach based on discrete‐event simulation modelling is proposed. The methodology and the simulation model have been validated with reference to field data derived from a full‐scale case study carried out within a LHA in southern Italy.

The results show where, in terms of care pathways, de‐hospitalization is practicable, valuable in terms of better resource utilization, and eligible for outsourcing. The outsourcing option appears to be more sustainable from a social point of view. It specifies that there would be no dismissal of employees, and that there would be recruitment of specialized workers such as nurses and doctors, employed under more flexible conditions. Savings in overheads would be achieved by means of patient de‐hospitalization.

The existing scientific literature, to the best of the authors' knowledge, deals with patient flow management at the hospital level. However, in the European countries, the public healthcare system is generally organized in terms of the territorially based allocation of service centres. Given the scarcity of public resources, the main difficulty seems to be a mismatch among actions needed to improve territorial and residential care for outsourcing, and the interventions needed to contain hospital costs.

The purpose of this paper is to review the causes of long waiting time in Hong Kong public hospitals and to suggest solutions in the service, organisational, systems, financial and policy perspectives.

The paper is a review of waiting time of public hospital services. Total joint replacement, which is one of the elective surgeries in public hospitals, is presented as a case study.

The average waiting time of semi-urgent and non-urgent patients in the accident and emergency departments of public hospitals is two hours, and that of specialist outpatient (SOP) clinics is from 1 to 144 weeks. For total joint replacement, it is from 36 to 110 months. Measures like Government subsidisation programme for the replacement surgery and employing adequate physiotherapists, Chinese medicine practitioners, clinical psychologists and nurses to reduce the waiting time are suggested. Issues concerning the healthcare system of Hong Kong, such as structural reform, service delivery model, primary care, quality and process management, and policy reviews, are also discussed.

The ‬over-reliance of public services has resulted in long waiting time in public hospitals in Hong Kong, particularly in the emergency services and SOP clinics. However, the consequences of long waiting period for surgical operations, though much less discussed by the media and public, can be potentially detrimental to the patients and families, and may result in more burdens to the already stretched public hospitals‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬.

There is limited evidence on the determinants of hospitalisation and its causes in India. This study aims to examine the differential in the hospitalisation rates and its socioeconomic determinants. This study also examines the causes of diseases in hospitalisation among the elderly (≥60 years) in India.

This study used data from the 75th round of the National Sample Survey Organizations, collected from July 2017 to June 2018. The elderly samples in this survey are 42,759, where 11,070 were hospitalised, and 31,689 were not hospitalised in the past year or 365 days. This study estimated hospitalisation rates and carried out binary logistic regression analysis to examine the associations of hospitalisation with the background variables. The cause of diseases in hospitalisations was also calculated.

The hospitalisation rate was lower among elderly female compared to elderly male. Elderly who belongs to middle-old aged groups, non-married, North-Eastern region, Southern region, general caste, health insurance, partially and fully economically dependent have a higher chance of being hospitalised. About 38% elderly were hospitalised due to communicable diseases (CDs), 52% due to non-communicable diseases (NCDs) and 10% due to injuries and others (IO). Nearly 40% elderly were hospitalised in public hospitals due to CDs, whereas 52% were hospitalised in private hospitals due to NCDs and 11% due to IO.

Firstly, this study is based on cross-sectional survey due to which temporal ambiguity averted to draw causal inferences. Secondly, other significant factors can also predict hospitalisations and provide insightful results, such as lifestyle factors, behavioral factors, obesity, mental state and several personal habits such as smoking cigarettes, drinking alcohol, consuming tobacco or other harmful substances. But this information was not available in this study. Even with these limitations, the hospitalisation issues among the elderly are beneficial to understand the current circumstances of CDs, NCDs and injury and other diseases for India and its states to formulate health policy.

Early screening and early treatment for NCDs are needed, which are non-existent in almost all parts of India. It is essential to necessitate and identify the important factors that best predict hospitalisation or re-visit of hospital admission. Although, the medical advances in India have made rapid strides in the past few decades, it is burdened none the less, as the doctor–patient ratio is very low. It is important to develop preventive measures to minimize the accidents and causalities to avoid substantial cost associated with elderly health care.

Raising awareness, promotion of healthy life style and improving the quality of good health-care provisions at primary level is a necessity.

The findings, practical and social implications provide a way forward for the health policymakers to potentially alter the future research to reduce associated comorbidities, unnecessary hospitalisations and other medical complications.

Researchers have spent considerable time studying how racial-ethnic minorities experience poorer health than whites [Townsend, P., & Davidson, N. (Eds). (1990). Inequalities in health: The black report. England: Penguin Press; Platt, L. (2006). Assessing the impact of illness, caring and ethnicity on social activity. STICERD Research Paper No. CASE108 London England), and how low socioeconomic status (SES) can negatively influence health status (Lynch, J., & Kaplan, G. (2000). Socioeconomic position. In: L. F. Berkman & I. Kawachi (Eds), Social epidemiology (pp. 13–55). New York: Oxford University Press]. This research investigates the relationship between class and race and perceived health status among patients with chronic conditions. More specifically, we apply the concept of social capital to assess whether the quantity of health information seeking behaviors (HISB) via social networks mediates the relationship between race and health status, and between SES and health status. Regression, t-test and ANOVA analyses of 305 surveys completed at a chronic illness management clinic in a Northwest research hospital reveal three important findings: first, that social class affects perceived health status more strongly than race; second, that frequency and amount of HISB do not play a significant role in perceived health status, regardless of race or SES; and third, that an interaction effect between frequency and amount of HISB suggests that the way that patients seek health information, and the quality of that information, may be more useful indicators of the role of social capital in HISB than our study can provide.

In 2016, New Zealand's Ministry of Health introduced the System Level Measures Framework which marked a departure from health targets and pay-for-performance incentives towards an approach based on local, collaborative approaches to health system improvement. This exemplifies an attempt to “overwrite” New Public Management (NPM) institutional practices with New Public Governance (NPG). We aim to trace this process of overwriting so as to understand how attempts to change institutional practices were facilitated, blocked, translated and edited.

We develop a conceptual framework for understanding and tracing institutional change towards NPG which emphasises the importance of discursive strategies in policy attempts to overwrite NPM with NPG. To analyse the New Zealand case, we drew on policy documents and interviews conducted in 2017–18 with twelve national key informants and fifty interviewees closely involved in local development and/or implementation of the SLMF.

Policy sponsors of collaborative approaches to health system improvement first attempted formal institutional change, arguing that adopting collaborative, quality improvement (NPG) approaches would supplement existing performance management (NPM) practices, to create a superior synthesis. When this formal approach was blocked, they adopted an approach based on informal persuasion of local organisational actors that quality improvement should supplant performance improvement. This approach was edited and translated by local actors, and the success of local implementation varied considerably.

This article offers a novel conceptualisation of public management institutional change, which can help explain why it is difficult to completely erase NPM practices in health.

This paper explores the rhetorical practices that are used in the introduction of a New Public Governance policy framework.

This study examined effectiveness of an integrated care program on emergency department visits within a longitudinal sample of patients with both primary care and behavioral health diagnoses.

Patients with co-occurring disorders enrolled in an integrated care clinic and were followed over time to determine whether participation in the clinic, including engagement in wellness/peer services, predicted decreases in Emergency Department (ED) use. Associations between socio-demographic characteristics of patients and ED use were also analyzed.

After 6 months, clinic patients had decreases in ED use that continued for twelve months, albeit to a lesser degree. Demographics and program services were not related to ED use; however, multiple associations existed between high ED utilizers, severe mental illness (SMI), substance use disorders (SUD) and non-retention in services.

The study lacked a comparison group and there was no distinction between avoidable and unavoidable ED visits. A small sample size across time points led to inconclusive post hoc findings.

This study explored effectiveness of primary care integration into a behavioral health clinic for persons with multiple morbidities. Although initial decreases in ED visits were present, results indicate that these models may not be effective for persons with SMI or SMI/SUD who are already high ED users. This study provides support for integrated care in reducing ED use among persons with multiple morbidities and calls for further research on designing effective integrated models for persons with SMI and SUD.

This chapter seeks to quantify the effects of geographic access to community health centers on the likelihood of an individual having a regular source of health care.

Utilizing survey and center location data, the analysis employs bivariate cross-tabulation with chi-square and multinominal logistic regression to quantify the relationship between variables.

While individuals living in close spatial proximity to community health centers were more likely to identify a community health center as a regular source of care as compared with those without proximal access, the effect of community health center access on the identification of any source of regular health care was generally insignificant or negative, except for populations with a chronic medical condition.

While these findings support current literature suggesting that spatial proximity to care is insufficient to transform at-risk populations into regular primary care users, it is important to note that it is possible that individuals prefer to access primary care services outside of their immediate neighborhoods, potentially mediating the observed effect of proximity to care on the likelihood of having a regular source of care. Also, because this analysis is based on cross-sectional survey data, it is impossible to make a causal argument about the relationship between variables. Only the observed association can be asserted and used to inform future studies.

Existing research supports a positive association between community health center utilization and measures of health for social groups traditionally facing barriers to care, but few studies isolate the effect of center availability and health, particularly when considering those living in the catchment area but are not regular users. Due to the complexity and prevalence of barriers to health care for vulnerable and at-risk populations, these findings suggest that improving geographic access to primary health care does not guarantee positive outcomes for target groups. The magnitude of social disadvantage on vulnerable and at-risk populations can have a devastating effect on health care outcomes that is not easily overcome by social programs.

Due to recent Affordable Care Act reforms, prevention of readmissions is a salient issue for hospitals that participate in Medicare, as they are now held accountable for patients who receive post-acute care in facilities over which hospitals have little influence to monitor care. Using resource dependence and transaction cost economics to describe the theoretical advantages of hospital ownership of post-acute care facilities (PACs), we empirically test whether hospitals that own PACs experience reduced readmissions. Our findings indicate partial support for the predicted relationship between PAC ownership and readmission rates. We found that hospital ownership of a skilled-nursing facility (SNF) was related to a lower readmissions rate for some patients, while ownership of other types of PACs did not result in significant findings. Our results offer support for the theoretical advantages of ownership, however, the savings realized by ownership may not merit the ownership investment.