Each year in the United States, thousands of people are readmitted within 30 days of being discharged from a hospital. Current research indicates that at least one-third of these rehospitalizations are preventable. The purpose of this project was to examine patient and environmental characteristics of those who were readmitted within 30 days of discharge for commonalities that may explain the gap in practice for a specific health care organization. The project was undertaken in response to the organization's need to improve a 50th-percentile ranking with the goal of reaching the top 10th percentile. A plan-do study-act framework was used as a guide to ensure no steps in the process were missed and the logical progression of the project was clear. Three fiscal quarters of data, including 515 readmissions, were examined. A data analytics cube on hospital-wide readmissions provided patient and environmental characteristics that were charted using common language for sorting purposes. Data analysis revealed that 77% of patients were admitted within 30 days of discharge with a diagnosis that differed significantly from the index admission. Potential gaps in practice identified were a need for more patient and family engagement and education by nursing during the inpatient stay in regard to the primary admitting condition, the management of comorbidities, and potential posthospital complications. Need exists for more intense whole-patient monitoring, communication, and education following the transition from hospital to home. A reduction in 30-day readmissions can reduce the psychological and physical burden on patients and families, on health care resources that could be used for other purposes, and on society in the form of financial costs that continue to rise.

Reducing hospital readmissions is critical to the success and sustainability of both hospitals and the communities in which they reside. The purpose of this multiple case study was to explore organizational strategies hospital leaders use to reduce hospital readmissions. The study was limited to hospitals in Southwest Missouri with readmission rates below the state average. Complex adaptive systems was the conceptual framework for the study because of the complex nature and numerous stakeholders of the healthcare system. Data were collected from a purposive sample of 15 hospital leaders via semistructured interviews and an analysis of organizational artifacts. Member checking was used to increase reliability and validity of the results. Data analysis was conducted using Yin's 5 step process including qualitative analysis software to identify major and core themes. The major themes identified in the study included population health, hospital operations and patient interactions, leadership and mission, and barriers to reducing readmissions. The implications for positive social change include the potential to improve services hospital team members provide to patients, which may improve the overall health of the communities they serve. By promoting improved health outcomes for local communities, society benefits through reduction of costs to the federal government and an overall improvement in the health of communities.

Information from anecdotal interviews at a practicum site indicated a lack of training for advanced practice providers (APPs) in core competencies critical for effective practice in a heart failure (HF) unit. The goal of this project was to assess the APPs' verbal reports and develop HF unit-specific training for APPs. The practice-focused question examined whether unit-specific training for HF APPs improved knowledge and skills in HF management. The Johns Hopkins nursing evidence-based practice model and Knowles's adult learning theory were used to create a survey, a focus group, and a pre/posttest assessment of knowledge and skills gap. Descriptive and inferential statistics could be used to analyze pre/post survey data, and thematic analysis could be used to analyze focus group data. Assessment data could be used to develop a targeted HF program based on identified skill deficiencies. The implications of this project related to social change are the potential to increase APPs' knowledge, job engagement, and retention. The program could affect length of stay and 30-day readmission of patients in the HF unit.

There is a lack of quality communication among health care professionals and patients in the hospital setting, which can negatively impact patient satisfaction and increase hospital readmission rates. Interdisciplinary bedside rounding (IBR) is a method of rounding that uses direct communication and discussion of the patient at the bedside, and the use of IRB may improve the quality communication among health care professionals and patients. The purpose of this program outcomes evaluation project was to evaluate whether IBR increased patient satisfaction with nursing communication and if IBR decreased hospital readmission rates. The Iowa model of evidence-based practice provided a framework that was used for this project. This program outcomes evaluation used a retrospective pre-post design to collect data 3 months prior to and 3 months following IBR on 1 medical surgical hospital unit. A convenience sample of 42 IBR patient participants was used. HCAHPS scores were used to evaluate patient satisfaction with nursing communication, with a percent of change comparison evaluated. Thirty day readmission rates were evaluated using a hospital based data set and a direct comparison of data was performed. Findings revealed that IBR did not improve patient satisfaction with nursing communication overall. In regards to hospital readmissions, 1% of the hospital readmissions were from the IRB group versus 10% hospital wide. Those who experienced IBR were less likely to return within 30 days. The use of the IBR program and resultant reduced readmission rates show promise for positive social change by improved patient outcomes and decreased health care costs for all.

Abstract African Americans are disproportionately affected by heart failure, with prevention and treatment of heart failure being a public health concern in the United States. The purpose of this retrospective quantitative study was to examine the primary variable race, specifically African Americans, and how this variable relates to 30-day readmission post discharge when controlled with geographic location (urban vs. rural), gender, and insurance status. The expanded chronic care model was used as a framework to shape health promotion, prevention efforts, and social determinants of health and to enhance community involvement related to chronic disease issues. The research questions were focused on determining a relationship among African Americans being at a higher risk for 30-day readmission than others using selected control variables. Secondary data were collected for 565 patients diagnosed with congestive heart failure from the 2015 Hospital Inpatient Discharges data set and analyzed using simple and multivariate logistic regression methods to answer research questions and test hypotheses. Key results of the simple logistic regression revealed that African Americans were 1.7 times more likely to be readmitted than other races and 1.3 times more likely to be readmitted than Caucasians. The multiple logistic regression revealed race, gender and geographic location (urban) as significant predictors of readmission among African Americans. Insurance status revealed no significance for readmission among African Americans. Implications for social change from this study may include policy implementation at the family, organizational, and societal levels, such as policy related to education on establishing a surveillance system that identifies those in the population who are at risk and more vulnerable to social and health care disparities.

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Research Objectives Heart failure (HF) is a common condition in persons older than 65 years. Existing literature indicated that hospital readmission rates after discharge for heart failure patients are immensely high. However, previous studies showed that almost half of the early hospital readmissions could be prevented. Moreover, Angiotensin-converting enzyme (ACE) inhibitor and Angiotensin receptor blocker (ARB) are the commonly used medications for heart failure patients to control blood pressure. Nevertheless, studies indicated that these two medications could also cause the risk of hospital readmission. Little studies examined the associations of medication use and hospital readmission of heart failure patients in Taiwan. This study aims to investigate the influence factors of hospital readmissions among heart failure patients in Taiwan. Study Design We collected the data from National Health Insurance (NHI) database during the period from year 2000 to 2006. Based on the rule of Bureau of National Health Insurance in Taiwan, the 14-day readmission is considered as a poor quality indicator. We categorized readmissions into 4 groups (14-day, 30-day, 180-day and over 180-day) and evaluated each group¡¦s demographic, hospital characteristics, medical resource utilization, Charlson Comorbidity Index and medication utilizations of ACE inhibitor and ARB. We conducted descriptive analyses by using chi-square and t tests and applied multivariate logistic regression analyses to estimate the probabilities of hospital readmissions of heart failure patients. Population Studied Patients aged 50 or older with heart failure were identified based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Principle Findings Among 1920 heart failure patients, 19.9% of them were readmitted within 14 days, 7.6% were readmitted within 30 days and 26% were readmitted within 180 days. The medical resource utilizations such as average inpatients cost per patient, average outpatients cost per patient, total medical cost, average of inpatients times per patient and average of outpatients times per patient were significantly higher in patients with readmissions than those without readmission. Age, Charlson Comorbidity Index, patients who had been treated with ACE inhibitors and patients who had been treated with ARB were significantly affected the probabilities of readmissions. Conclusion The heart failure patients with readmissions had significantly higher medical resource utilizations than those without readmission. The medication uses of ACE inhibitors or ARB were significantly affected the probabilities of hospital readmissions. By understanding more about the influence factors of readmissions among heart failure patients, we may provide continue improvements of quality of care and reduce unnecessary medical costs. This study results provide useful reference for policy-makers to establish effective disease management program and appropriate health care financing arrangement in the future.

Research Objectives: Osteoporosis has become a significant public health problem in recent years, especially with the growth of the elderly population. Osteoporotic fractures exact a terrible toll on the population with respect to morbidity, cost, and to a lesser extent mortality. These effects can lead to psychological problems, social consequences, functional limitations, and poor quality of life. Thus, knowledge regarding osteoporotic fractures is needed to evaluate the impact of osteoporotic fractures on society, to identify high-risk populations, and to help policymakers to allocate resources accordingly. This study aims to investigate the influence factors of hospital readmissions among osteoporotic fractures patients in Taiwan, and the study results are expected to increase our understanding of the magnitude of the elderly population suffering from osteoporotic fractures and to urge policymakers to develop effective national prevention strategies. Study Design: Using Taiwan¡¦s National Health Insurance database, we identified elderly patients with a hospitalization for osteoporotic fractures between 2001 and 2007. We divided readmissions into different groups (14-day, 30-day, 180-day and over 180-day) and evaluated each group¡¦s demographic, hospital characteristics, and Charlson Comorbidity Index. The claims data are also used to calculate the health services utilization of osteoporotic fractures among those elderly patients with or without readmission of osteoporotic fractures. The data analyses were carried out by Chi-square test, t test, multiple linear regression and multivariate logistic regression. Population Studied: Patients aged 50 or older with osteoporotic fractures were identified based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Principle Findings: Among 5483 osteoporotic fractures patients, 6.9% of them were readmitted within 14 days, 34.7% were readmitted within 30 days and 13.9% were readmitted within 180 days. The medical resource utilizations were significantly higher in patients with readmissions than those without readmission. Age and Charlson Comorbidity Index were significantly affected the probabilities of readmissions. Conclusion: From the perspective of health policy, the issue of osteoporotic fractures will become increasingly important in the future. This national study will help raise awareness of osteoporotic fractures and hopefully motivate public health policy makers to develop effective national prevention strategies against osteoporosis to prevent osteoporotic fractures.

Abstract Objective: Readmission is a big part of health care expenditure and recent studies suggested that hospital readmissions can be applied as an important indicator of quality of care within health care system. Furthermore elderly population usually costs the large amount health care expenses and is the main group in readmission. Moreover readmission is usually attributed to chronic diseases. Nevertheless, evaluations of hospital readmissions under universal health care coverage areas were not well-studied in Taiwan. Therefore this study aims to explore the associations between initial hospitalizations and probability of hospital readmissions in details. Research method: Patients aged 65 or older with primary clinical diagnosis of asthma or COPD based on ICD-9-CM for hospital admissions and readmissions in Taiwan.National claims of these two diseases were collected and analyzed from year 2000 to 2004. Population-based descriptive analyses of related health care utilizations were estimated. Multivariate logistic regressions were conducted to predict the probability of hospital readmissions. Controlled variables included patient factors, medical institutions¡¦ characteristics, urbanizations, and air quality indicators. Result: Among asthma and COPD elderly patients, more health care utilizations were observed in the hospital readmissions than initial admissions. Multivariate logistic regressions indicated that age, gender, disease severity, hospital characteristics, and air quality were significant predictors of the probability of hospital readmission. Meanwhile, age, disease severity, and hospital characteristics also significantly affected the time interval between initial admission and readmission. In addition, longer length of stay in the initial admission will significantly shorten the time interval between initial admission and readmission (P<0.001). Conclusion: For Asthma and COPD elderly patients, longer length of stay in the initial admission will significantly shorten the time interval between initial admission and readmission and have higher probability of hospital readmission. This study provides the evidence of reducing the health care expenditure by controlling readmission rate. With more understandings of factors affecting hospital readmissions, we can improve the health care delivery and reduce unplanned readmissions in the future. Key words: Asthma, COPD, hospital readmission, health care utilization, length of stay, admission fees

Background: Continuity of care and post-discharge follow-up visits can improve the quality of care and reduce the likelihood of relapse and re-hospitalization in patients with psychotic disorders. Purpose: This study aimed to analyze post-discharge follow-up interventions in patients with psychotic disorders, and to identify measurement instruments for intervention outcomes. Method: The literature review described here used a specific framework, where the follow-up interventions and the measurement instruments were analyzed systematically, to investigate fifteen studies identified through electronic databases such as Pubmed, Psychinfo, ProQuest, Cinahl, Medline, and Scopus. Results: The studies used interventions including psychoeducation, cognitive-behavioral therapy, cognitive behaviorally oriented service, optimal clinical management, relapse prevention plan, software suggested intervention, ambulatory outpatient care, community re-entry module, integrated treatment, and hospital-based community psychiatric service. Additionally these studies used thirty-eight measurement instruments to assess change in psychiatric patients or their relatives, based on psychological, social, and occupational factors as well as specific symptoms and symptom severity. The instruments also measured quality of life, insight, self-esteem, and cognitive function. Further, the studies examined therapeutic alliances and the experience of family members. The most commonly used instruments were the Global Assessment of Functioning and the Positive and Negative Syndrome Scale. Conclusion: The interventions reviewed here emphasize an individualized approach that targets education, illness management, coping strategies, social skills training and relapse prevention, and seeks to alter any harmful understanding of the illness. Although researchers can choose among numerous interventions, psychoeducation was the most appealing follow-up intervention for patients suffering from psychotic disorders. Importantly, evaluation instruments must be relevant to psychological symptoms, treatment, time and resources available, and what questions were being sought to answer. Approximately eleven of the thirty-eight instruments reviewed here showed weak or unclear reliability and validity. The most practical instrument for evaluating the outcome of an intervention for patients suffering from psychotic disorders wasthe Positive and Negative Syndrome Scale. / <p>ISBN 978-91-86739-70-6</p>