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The purpose of this paper is to examine whether patient readmission rates are associated with patient satisfaction and Medicare reimbursement rates in the US hospitals.

The Hospital Compare database was obtained from the Centers for Medicare and Medicaid Services (CMS) in the US. A total of 2,711 acute care hospitals were analyzed for this present study. The data included patient satisfaction surveys, hospital 30-days readmission ratios for heart failure and pneumonia patients and related payments. Exploratory factor analysis was applied in the first stage to operationalize constructs for scale development. Partial least squares (PLS) modeling analysis via Smart-PLS was utilized for testing the hypotheses.

Results indicated that data provided from the Hospital Compare database for the acute care hospitals accurately reflect quality outcomes. Nevertheless, the Medicare Hospital Readmissions Reduction Program (HRRP) did not penalize the hospitals when patients reported lower satisfaction via the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores.

The findings suggest that a high-readmission rate is not associated with lower payment. Such results appear to conflict with the goals of value-based purchasing programs, which seek to penalize hospitals financially for higher readmission rates.

The purpose of this paper is to identify and analyse the readmission risk prediction tools reported in the literature and their benefits when it comes to healthcare organisations and management.

Readmission risk prediction is a growing topic of interest with the aim of identifying patients in particular those suffering from chronic diseases such as congestive heart failure, chronic obstructive pulmonary disease and diabetes, who are at risk of readmission. Several models have been developed with different levels of predictive ability. A structured and extensive literature search of several databases was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis strategy, and this yielded a total of 48,984 records.

Forty-three articles were selected for full-text and extensive review after following the screening process and according to the eligibility criteria. About 34 unique readmission risk prediction models were identified, in which their predictive ability ranged from poor to good (c statistic 0.5–0.86). Readmission rates ranged between 3.1 and 74.1% depending on the risk category. This review shows that readmission risk prediction is a complex process and is still relatively new as a concept and poorly understood. It confirms that readmission prediction models hold significant accuracy at identifying patients at higher risk for such an event within specific context.

Since most prediction models were developed for specific populations, conditions or hospital settings, the generalisability and transferability of the predictions across wider or other contexts may be difficult to achieve. Therefore, the value of prediction models remains limited to hospital management. Future research is indicated in this regard.

This review is the first to cover readmission risk prediction tools that have been published in the literature since 2011, thereby providing an assessment of the relevance of this crucial KPI to health organisations and managers.

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.

The measuring of emergency readmission rates to hospital following discharge is one of fifteen health outcomes the United Kingdom government monitors on an annual basis. There is a wide variation between readmission rates, and it is especially important to older people that there is a reduction in unacceptable variations. A closer understanding of reasons for readmission is therefore necessary to inform future developments, identify patients who may be at high risk of readmission and target resources more appropriately. A review of literature from the United Kingdom and international studies may help in determining the reasons for the unplanned readmission of older people. This could then allow for a re‐allocation of resources in the most cost‐effective and cost‐efficient manner. The literature review was conducted via keywords and combination of keyword searches from 1990‐2003 using various electronic databases. There were several themes that emerged from the literature, and these have been described within the paper. Following the review of the literature it emerged that many international studies into the causes of readmission of older people have an inconsistent approach in defining certain terms. However, in the United Kingdom, there appears a more consistent approach. Most studies agree that the majority of readmissions occur as a result of a relapse or complication of an initial illness. However, some American studies associate the readmission of older people with a specific disease, and the antecedent care process. The findings in the literature have identified several gaps that enable recommendations for future research to be made.

This research aims to explore the fine-grained relationships between nurse staffing and hospital operational performance with respect to care quality and operating costs. The authors also investigate the moderation effect of competition in local hospital markets on these relationships.

A six-year panel data is assembled from five separate sources to obtain information of 2,524 USA hospitals. Fixed-effect (FE) models are used to test the proposed hypotheses.

First, nurse staffing is initially associated with improved care quality until nurse staffing reaches a turning point, beyond which nurse staffing is associated with worse care quality. Second, a similar pattern applies to the relationship between nurse staffing and operating costs, although the turning point is at a much lower nurse staffing level. Third, market competition moderates the relationship between nurse staffing and care quality so that the turning point of nurse staffing will be higher when the degree of competition is higher. This shift of turning point is also observed in the relationship between nurse staffing and operating costs.

The study identifies three ranges of nurse staffing in which hospitals will likely experience simultaneous improvements, a tradeoff or simultaneous decline of care quality and operating costs when investing in more nursing capacity. Hospitals should adjust nurse staffing levels to the right directions to achieve better care or reduce operating costs.

Nurses constitute the largest provider group in hospitals and profoundly impact care quality and operating costs among all health care professionals. Optimizing the level of nurse staffing, therefore, can significantly impact the care quality and operating costs of hospitals.

This study investigates the stability of the “hospital effect” on performance over time by administrative health data as a source of evidence. Using 78,907 heart failure adult records from 117 hospitals in the Lombardy Region (Northern Italy) over three years (2010–2012), we analyzed hospital performance in terms of 30-day mortality and 30-day unplanned readmissions to gather evidence about the stability of the “hospital effect.” Best/worst performers were identified through multi-level models that combine both patient and hospital covariates. Our results confirm that managerial choices affect hospital performance, and that the “hospital effect” is not, contrary to expectations, stable over the short term. Performance improvement/worsening over the three years has been also analyzed.

Readmission to hospital can be distressing, costly for the National Health Service (NHS) and legally it should be a last resort as it entails restriction of liberty. This study aims to develop an understanding of factors leading to readmission for a cohort of service users under the care of a community forensic mental health team (CFMHT) in England to consider how support could be improved to reduce incidence of future readmissions.

Thematic analysis was used to examine case recording relating to 13 service users who were readmitted to hospital within a specified time period. The same service users were invited to complete questionnaires regarding their views of what contributed to the readmission to cross-reference with themes identified.

The analysis of case notes produced eight sub-themes. These were sorted into three overarching themes, illustrating the challenges that service users face upon discharge from hospital, the sense they make of these challenges and the impact upon relational patterns, in particular with the CFMHT. Researchers highlight that the multiple challenges can increase service users’ sense of being under threat which can lead to distrust of professionals.

Practical suggestions arising from the study were fed back to the subject team and are listed at the end of the paper.

Findings from this study parallel those previously reported. This study contributes an inter-relational aspect of the factors and the central role of meaning-making in the path of recovery and building a life in the community.

Transitional care is increasingly important in reducing readmission rates and length of stay (LOS). Singapore is focusing on transitional care to address the evolving care needs of a multi-morbid ageing population. This study aims to investigate the impact of transitional care programs (TCPs) on acute healthcare utilization.

A retrospective, longitudinal, interventional study was conducted. High-risk patients were enrolled into a transitional care program of local tertiary hospital. Patients received either telephone follow-up (TFU) or home-based intervention (HBI) with TFU. Readmission rates and LOS were assessed for both groups.

There was no statistically significant difference in readmissions or LOS between TFU and HBI. After excluding demised patients, TFU had statistically significant lower LOS than HBI. Both interventions demonstrated statistically significant reductions in readmissions and LOS in pre–post analyses.

TFU may be more effective than HBI in patients with lower clinical severity, despite both interventions showing statistically significant reductions in acute healthcare utilization. Study findings may be used to inform transitional care practices. Future studies should continue to examine the comparative effectiveness of transitional care interventions and the patient populations most likely to benefit.

Previous studies demonstrated promising outcomes for TFU and HBIs, but few have evaluated their comparative effectiveness on acute healthcare utilization and specific patient populations most likely to benefit. This study evaluated interventional effectiveness of both, which might be useful for informing allocation of resources based on clinical complexity and care needs.

Health literate discharge practices meet patient and family health literacy needs in preparation for care transitions from hospital to home. The purpose of this paper is to measure health literate discharge practices in Ontario hospitals using a new organizational survey questionnaire tool and to perform psychometric testing of this new survey.

This survey was administered to hospitals in Ontario, Canada. Exploratory factor analysis and reliability testing were performed.

The participation rate of hospitals was 46 percent. Exploratory factor analysis demonstrated that there were five factors. The survey, and each of the five factors, had moderate to high levels of reliability.

There is a need to expand the focus of further research to examine the experiences of patients and families. Repeating this study with a larger sample would facilitate further survey development.

Measuring health literate discharge practices with an organizational survey will help hospital managers to understand their performance and will help direct quality improvement efforts to improve patient care at hospital discharge and to decrease hospital readmission.

There has been little research into how patients are discharged from hospital. This study is the first to use an organizational survey tool to measure health literate discharge practices.

Context. The most advanced and fastest growing form of bariatric surgery is laparoscopic gastric bypass. Very little is known about population-based 180-day laparoscopic bypass costs, complication rates, readmission rates, and post-operative care.

Objective. To examine the 6-month costs and outcomes of laparoscopic vs. open bariatric bypass surgery using a national population-based sample.

Design. We use the 1998–2003 Nationwide Inpatient Sample to examine national trends in the rate of laparoscopic bypass. To examine post-operative outcomes, we examine insurance claims for 2,384 bariatric bypass surgeries, at 308 hospitals, among a population of 5.6 million non-elderly people covered by large employers across 49 states in 2001 and 2002. Multivariate logit regression analysis is performed to risk-adjust outcomes.

Main Outcome Measures. 180-day outcomes: 12 complications specific to bariatric surgery and 44 general post-operative conditions, readmission rates, ER rates, and expenditures following bariatric surgery.

Results. Between 1998 and 2003, the national percentage of bariatric bypass surgeries that were laparoscopic grew from 1.5 to 17.1%. There was no significant difference in in-hospital mortality between laparoscopy and open surgery. With the 2001–2002 claims data, we find that of the patients having bypass surgery, men had 48% lower odds of having laparoscopy and that high bariatric volume hospitals were close to four times more likely to use laparoscopy. Laparoscopic bypass, compared with open bypass, had 34% lower odds of a complication during the initial surgical stay, 27% lower odds of a 30-day complication, but no statistically significant difference in 180-day complications. Laparoscopy had 49% higher odds of having the general 44 post-operative conditions, with 45% higher odds of a readmission and 54% higher odds of an ER visit. However, overall, laparoscopy resulted in a 23% lower number of hospital days and 9% lower 180-day expenditures.

Conclusion. The laparoscopic cost-savings during the less invasive initial surgery stay outweigh the increase in post-discharge utilization. Further cost-savings will only emerge from laparoscopy only if its late post-operative complications are reduced. More cost-savings will also emerge as more physicians switch to the use of laparoscopy for bypass surgery.