Reducing ED wait times is a top health care priority for the Ontario government and hospitals in Ontario are incentivised to meet provincial ED wait time targets. In this study, we considered the costs and benefits associated with increasing the number of acute-care beds to reduce the time an admitted patient spends boarding in the ED. A shorter hospital LOS has often been cited as a potential benefit associated with shorter ED wait times. We derived a multivariable Cox regression model to examine this association. We found no significant association between ED boarding times and the time to discharge. Using a Markov model, we estimated an increased annual operating cost of $2.1m to meet the prescribed wait time targets. We concluded that increasing acute-care beds to reduce ED wait times would require significant funding from hospitals and would have no effect on total length of stay of hospitalized patients.

Because of the expense associated with hospital admissions, the use of observation status has grown. One of the most consistently measured outcomes in observation is the patient length of stay (LOS). Research supports the positive impact that nurse practitioners (NP) have on LOS when added to other service lines that could be applied to observation. Banner Desert Medical Center (BDMC) is currently attempting to decrease their observation LOS. Adding acute care nurse practitioners (ACNP) to the care delivery model is a potential intervention. The purpose of this project was to develop an executive summary to inform staff of current evidence that supports the addition of ACNPs to observation. Then, via a survey, the project aimed to determine the level of staff support by identifying the Transtheoretical Model of Change (TTM) Stage of Change and to recommend appropriate stage-matched interventions for staff based on TTM processes of change. The 10 Likert scale survey questions were adapted from two validated TTM surveys. The final question asked for the pros and cons of the intervention to determine the Decisional Balance (DB). The registered nurse (RN) cohort demonstrated consistently strong support for the proposed intervention with an average mean response of 6.57 on affirmative questions and a correspondingly low average mean of 2.2 on negative questions. When compared to the RN cohort, the physician cohort had lower mean responses with an average of 4.29 on every affirmative, a higher average mean response of 3.85 on the negatively worded questions. The DB for RNs was 19 pros to two cons. The DB for physicians was eight cons to three pros. These finding reflect that nurses are in the Preparation Stage of Change and are ready to move forward with adding ACNPs. An appropriate stage-matched intervention for registered nurses would be the development of change teams. In contrast, the physician cohort is in the Precontemplation stage and is not ready to proceed with adding ACNPs. Appropriate stage-matched interventions for physicians would include facilitating consciousness-raising activities such as an open forum to communicating information about the proposed change and to explore concerns and questions regarding the intervention.

The thesis analyses the influence of reimbursement regulatory fee for hospitalization which was introduced in regional hospitals in 2009 in Czech Republic. The difference in difference analysis was used to research the possible relationship between reimbursement of the fee and length of hospitalization in acute care hospitals and in after-care facilities. In acute care the influence was 0,5-1 % of the length and in after-care facilities between 8-12 %. This relationship may be biased because of introduction of DRG system which may decrease the length of stay and may be differently distributed between treatment and control group.

No description available.

The purpose of this study was to identify the characteristics of cancer patients and the most frequently chosen nursing diagnoses, outcomes and interventions chosen for care plans from a large Midwestern acute care hospital. In addition the patients' outcome change scores and length of stay from the four oncology specialty units are investigated. Donabedian's structure-process-outcome model is the framework for this study. This is a descriptive retrospective study. The sample included a total of 2,237 patients admitted on four oncology units from June 1 to December 31, 2010. Data were retrieved from medical records, the nursing documentation system, and the tumor registry center. Demographics showed that 63% of the inpatients were female, 89% were white, 53 % were married and 26% were retired. Most patients returned home (82%); and 2% died in the hospital. Descriptive analysis identified that the most common nursing diagnoses for oncology inpatients were Acute Pain (78%), Risk for Infection (31%), and Nausea (26%). Each cancer patient had approximately 3.1 nursing diagnoses (SD=2.5), 6.3 nursing interventions (SD=5.1), and 3.7 nursing outcomes (SD=2.9). Characteristics of the patients were not found to be related to LOS (M=3.7) or outcome change scores for Pain Level among the patients with Acute Pain. Specifically, 88% of patients retained or improved outcome change scores. The most common linkage of NANDA-I, NOC, and NIC (NNN), a set of standardized nursing terminologies used in the study that represents nursing diagnoses, nursing-sensitive patient outcomes and nursing interventions, prospectively, was Acute Pain--Pain Level--Pain Management. Pain was the dominant concept in the nursing care provided to oncology patients. Risk for Infection was the most frequent nursing diagnosis in the Adult Leukemia and Bone Transplant Unit. Patients with both Acute Pain and Risk for Infection may differ among units; while the traditional study strategies rarely demonstrate this finding. Identifying the pattern of core diagnoses, interventions, and outcomes for oncology nurses can direct nursing care in clinical practice and provide direction for future research tot targets areas of high impact and guide education and evaluation of nurse competencies.

BACKGROUND: There is continued attention towards using patient demographic and clinical characteristics available in health administrative data when case mix adjusting the measurement of length of stay (LOS) for hospitalized children. However, little is known about what proportion of children’s LOS is explained by these characteristics. OBJECTIVES: The objectives of the study were to quantify the amount of variation in LOS within and across hospitals that is explained by demographic and clinical factors of hospitalized pediatric patients. METHODS: A retrospective cohort analysis was completed of 818,848 hospitalizations for any reason occurring from 1/1/2014 to 12/31/2014 in one of 44 freestanding children’s hospitals in the Pediatric Health Information Systems (PHIS) dataset. A generalized linear model was derived to simultaneously regress demographic factors [age, race/ethnicity, payer, rural residence, health professional shortage area (HPSA) residence, income, and distance traveled], and clinical factors (severity of illness, type and number of chronic conditions) on LOS. The percentage of LOS attributable to each characteristic within each hospital was quantified using the covariance test of the hospital random effect. RESULTS: The factors with the greatest impact on LOS were severity of illness and chronic condition type and number, with a median (interquartile range) of 16.8% (IQR 15.0%-19.4%) and 4.0% (IQR 2.9%-4.5%) of LOS, respectively, explained by these characteristics across hospitals. LOS varied significantly (p<0.05) with both severity of illness and chronic condition type and number for all 44 hospitals in the cohort. All patient demographic factors, (age, race/ethnicity, payer, rural residence, HSPA residence, income, and distance traveled) had minimal impact on LOS, with <0.1% of LOS explained by each characteristic. Across hospitals, 78.3% (IQR 75.8-80.2%)] of LOS remained unexplained by the patient characteristics under study. CONCLUSIONS: Patients’ clinical characteristics ascertained from administrative data account for approximately one-fifth of LOS whereas their demographic characteristics account for a negligible amount. Efforts to optimize the efficiency of inpatient care for hospitalized children might benefit from uncovering how much of the vast amount of unexplained LOS is due to modifiable aspects of care quality. / 2018-06-16T00:00:00Z

Managing postoperative pain continues to be a challenging public health problem. The organization under study was experiencing a prolonged length of hospital stay (LOS) in the post-total knee and hip replacement surgery population that was causing system-wide patient flow issues. The purpose of this quality improvement project was to educate patients through an established education class on pain expectations, strategies on managing pain, discharge planning, and physical therapy expectations with a goal of reducing pain and LOS. The health belief model was used as a guide to incorporate new content into the educational program that addressed patient knowledge on pain, concerns, fears, and misconceptions related to surgery. New content was added to the class on strategies to improve postoperative pain to help the organizational need to meet 2- to 3-day LOS. The project compared differences in pain levels and LOS in participants who completed the preoperative education and those who did not. The project methodology was a retrospective nonexperimental pretest and posttest design, and a quantitative analysis was used to compare pain levels measured by visual analog scale in documented charts during hospital stay. LOS was measured from data collected from chart review. The findings revealed lower pain levels during the hospital stay of those who completed the educational program. The patients who did not attend the class had an average mean LOS of 5 days as compared to 3 days LOS for those who attended the preoperative class. The project impacts social change on an organizational level by demonstrating that patients undergoing joint replacement surgery benefit from the revised educational plan, which results in early mobility, better pain control, and decreased LOS.

Emergency department (ED) crowding is a serious problem in the United States. Crowding in the ED can result in delays that may negatively affect patient outcomes and increase the cost of care. The purpose of this project was to understand strategies that can help to improve patient flow in the ED. The plan-to-do-study act model for process improvement influenced this project. Secondary data were collected for a 2-month period to determine the impact of workflow processes (patient boarding time in ED, surge capacity and workflow processes including the impact of ancillary departments) on the movement of admitted patients from the ED to the inpatient units. Descriptive statistics were used to provide numerical summaries, frequencies, and percentages for the identified variables. The findings were consistent with an increased length of stay and longer ED boarding of patients due to the workflow process. Resulting recommendations included standardized calls for report on admitted patients within 30 minutes, timely discharge of patients, collaboration with attending physicians to facilitate evaluation of patients and orders, modification of staffing roles to ensure adequate staff, and identification of staff transporters to ensure timely transport of patients to their rooms. The findings helped to inform the development of a Bed Utilization Policy. The policy has been shared with the organization with the recommendation to implement and further evaluate to help manage bed flow. Development of utilization strategies that contribute to facilitating throughput will promote positive social change by providing nurses with the tools to help prepare for and respond to unexpected increases in patient volume. Improving efficiency with flow can help to improve patient care, timeliness, and safety.

No description available.

The U.S. Department of Health and Human Services has declared the misuse of opioid prescription drugs as a public health emergency. The Affordable Care Act’s Medicaid expansion expanded the number of people with insurance and increased the demand for services related to substance abuse treatment. In the first part of this study, the researcher examines whether the Medicaid expansion reduced the likelihood of treatment delay. The second part of this study explores whether the length of stay for opioid use disorder treatment is significantly different in states that adopted Medicaid expansion versus states that did not. In both studies, the researcher analyzes administrative data from the Substance Abuse and Mental Health Services Administration to discover any treatment delays associated with the opioid treatments for the states that adopted the expansion versus the states that did not, and to determine whether there was a difference in the length of stay in the states that adopted the Medicaid versus the states that did not. A difference-in-difference approach is used in both studies to compare the states which adopted an optional Medicaid expansion to those non-adoption states. The evidence suggests that demand for opioid treatment services increased in expansion states as there is a decreased probability of obtaining treatment on the first day for initial requests for outpatient treatment. In addition, evidence suggests that Medicaid expansion increased the likelihood of staying longer in outpatient facilities, but not inpatient facilities. / Business Administration/Risk Management and Insurance