Market and organizational factors associated with hospital vertical integration into sub-acute care

Background: Organizational characteristics are the main concerns of nursing practice in acute care settings. The present study aimed to assess the organizational factors associated with nurses’ competence in averting Failure to Rescue (FTR) in acute care settings. Methods: This was a descriptive and correlational study. A purposive sampling technique was used to collect the necessary data from the study respondents. In total, 173 of the 204 eligible registered nurses providing sudden, urgent, and emergency direct care to patients in the identified acute care settings of Olabisi Onabanjo University Teaching Hospital in Sagamu City, Nigeria participated in this study. A self-structured 38-item questionnaire, including 4 parts (demographic characteristics, knowledge on FTR, competence in averting FTR, & organizational factors) was employed for data collection. The obtained data were analyzed in SPSS V. 22 using descriptive statistics (i.e. frequency, percentages, mean, standard deviation, & tables) as well as Spearman’s Rho correlation to test the hypotheses based on the assumptions that the variables were measured on an ordinal scale at P<0.05. Results: Most nurses presented a high level of knowledge regarding FTR with a mean score of 5.91. Besides, they were moderately competent in averting FTR with a mean score of 29.3. A significant correlation was also detected between organizational characteristics and the studied nurses’ level of competence in averting FTR (P=0.026). Conclusion: The present study data revealed that FTR could be reduced in acute care settings by the modification of organizational factors.

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Predictors of nonroutine discharge among patients undergoing surgery for grade I spondylolisthesis: insights from the Quality Outcomes Database

Journal of Neurosurgery Spine ◽

10.3171/2019.9.spine19644 ◽

2020 ◽

Vol 32 (4) ◽

pp. 523-532 ◽

Cited By ~ 1

Author(s):

Praveen V. Mummaneni ◽

Mohamad Bydon ◽

John Knightly ◽

Mohammed Ali Alvi ◽

Anshit Goyal ◽

...

Keyword(s):

Body Mass Index ◽

Acute Care ◽

Body Mass ◽

Care Facility ◽

Older Age ◽

Quality Outcomes ◽

Acute Care Facility ◽

Factors Associated ◽

Patient Reported ◽

The Impact

OBJECTIVEDischarge to an inpatient rehabilitation facility or another acute-care facility not only constitutes a postoperative challenge for patients and their care team but also contributes significantly to healthcare costs. In this era of changing dynamics of healthcare payment models in which cost overruns are being increasingly shifted to surgeons and hospitals, it is important to better understand outcomes such as discharge disposition. In the current article, the authors sought to develop a predictive model for factors associated with nonroutine discharge after surgery for grade I spondylolisthesis.METHODSThe authors queried the Quality Outcomes Database for patients with grade I lumbar degenerative spondylolisthesis who underwent a surgical intervention between July 2014 and June 2016. Only those patients enrolled in a multisite study investigating the impact of fusion on clinical and patient-reported outcomes among patients with grade I spondylolisthesis were evaluated. Nonroutine discharge was defined as those who were discharged to a postacute or nonacute-care setting in the same hospital or transferred to another acute-care facility.RESULTSOf the 608 patients eligible for inclusion, 9.4% (n = 57) had a nonroutine discharge (8.7%, n = 53 discharged to inpatient postacute or nonacute care in the same hospital and 0.7%, n = 4 transferred to another acute-care facility). Compared to patients who were discharged to home, patients who had a nonroutine discharge were more likely to have diabetes (26.3%, n = 15 vs 15.7%, n = 86, p = 0.039); impaired ambulation (26.3%, n = 15 vs 10.2%, n = 56, p < 0.001); higher Oswestry Disability Index at baseline (51 [IQR 42–62.12] vs 46 [IQR 34.4–58], p = 0.014); lower EuroQol-5D scores (0.437 [IQR 0.308–0.708] vs 0.597 [IQR 0.358–0.708], p = 0.010); higher American Society of Anesthesiologists score (3 or 4: 63.2%, n = 36 vs 36.7%, n = 201, p = 0.002); and longer length of stay (4 days [IQR 3–5] vs 2 days [IQR 1–3], p < 0.001); and were more likely to suffer a complication (14%, n = 8 vs 5.6%, n = 31, p = 0.014). On multivariable logistic regression, factors found to be independently associated with higher odds of nonroutine discharge included older age (interquartile OR 9.14, 95% CI 3.79–22.1, p < 0.001), higher body mass index (interquartile OR 2.04, 95% CI 1.31–3.25, p < 0.001), presence of depression (OR 4.28, 95% CI 1.96–9.35, p < 0.001), fusion surgery compared with decompression alone (OR 1.3, 95% CI 1.1–1.6, p < 0.001), and any complication (OR 3.9, 95% CI 1.4–10.9, p < 0.001).CONCLUSIONSIn this multisite study of a defined cohort of patients undergoing surgery for grade I spondylolisthesis, factors associated with higher odds of nonroutine discharge included older age, higher body mass index, presence of depression, and occurrence of any complication.

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Factors associated with unplanned readmissions in a major Australian health service

Australian Health Review ◽

10.1071/ah16287 ◽

2019 ◽

Vol 43 (1) ◽

pp. 1 ◽

Cited By ~ 8

Author(s):

Julie Considine ◽

Karen Fox ◽

David Plunkett ◽

Melissa Mecner ◽

Mary O'Reilly ◽

...

Keyword(s):

Health Service ◽

Hospital Admission ◽

Acute Care ◽

Index Admission ◽

Unplanned Readmission ◽

Factors Associated ◽

Australian Health ◽

Increased Risk ◽

Patient Groups ◽

Comorbidity Index

Objective The aim of the present study was to gain an understanding of the factors associated with unplanned hospital readmission within 28 days of acute care discharge from a major Australian health service. Methods A retrospective study of 20575 acute care discharges from 1 August to 31 December 2015 was conducted using administrative databases. Patient, index admission and readmission characteristics were evaluated for their association with unplanned readmission in ≤28 days. Results The unplanned readmission rate was 7.4% (n=1528) and 11.1% of readmitted patients were returned within 1 day. The factors associated with increased risk of unplanned readmission in ≤28 days for all patients were age ≥65 years (odds ratio (OR) 1.3), emergency index admission (OR 1.6), Charlson comorbidity index >1 (OR 1.1–1.9), the presence of chronic disease (OR 1.4) or complications (OR 1.8) during the index admission, index admission length of stay (LOS) >2 days (OR 1.4–1.8), hospital admission(s) (OR 1.7–10.86) or emergency department (ED) attendance(s) (OR 1.8–5.2) in the 6 months preceding the index admission and health service site (OR 1.2–1.6). However, the factors associated with increased risk of unplanned readmission ≤28 days changed with each patient group (adult medical, adult surgical, obstetric and paediatric). Conclusions There were specific patient and index admission characteristics associated with increased risk of unplanned readmission in ≤28 days; however, these characteristics varied between patient groups, highlighting the need for tailored interventions. What is known about the topic? Unplanned hospital readmissions within 28 days of hospital discharge are considered an indicator of quality and safety of health care. What does this paper add? The factors associated with increased risk of unplanned readmission in ≤28 days varied between patient groups, so a ‘one size fits all approach’ to reducing unplanned readmissions may not be effective. Older adult medical patients had the highest rate of unplanned readmissions and those with Charlson comorbidity index ≥4, an index admission LOS >2 days, left against advice and hospital admission(s) or ED attendance(s) in the 6 months preceding index admission and discharge from larger sites within the health service were at highest risk of unplanned readmission. What are the implications for practitioners? One in seven discharges resulted in an unplanned readmission in ≤28 days and one in 10 unplanned readmissions occurred within 1 day of discharge. Although some patient and hospital characteristics were associated with increased risk of unplanned readmission in ≤28 days, statistical modelling shows there are other factors affecting the risk of readmission that remain unknown and need further investigation. Future work related to preventing unplanned readmissions in ≤28 days should consider inclusion of health professional, system and social factors in risk assessments.

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The occurrence and timing of delirium in acute care hospitalizations in the last year of life: A population-based retrospective cohort study

Palliative Medicine ◽

10.1177/0269216320929545 ◽

2020 ◽

Vol 34 (8) ◽

pp. 1067-1077

Author(s):

Colleen Webber ◽

Christine L Watt ◽

Shirley H Bush ◽

Peter G Lawlor ◽

Robert Talarico ◽

...

Keyword(s):

Cohort Study ◽

Confidence Interval ◽

Acute Care ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Prevalence Ratio ◽

Acute Care Hospitals ◽

Population Based ◽

Care Hospital ◽

Factors Associated

Background: Delirium is a distressing neurocognitive disorder that is common among terminally ill individuals, although few studies have described its occurrence in the acute care setting among this population. Aim: To describe the prevalence of delirium in patients admitted to acute care hospitals in Ontario, Canada, in their last year of life and identify factors associated with delirium. Design: Population-based retrospective cohort study using linked health administrative data. Delirium was identified through diagnosis codes on hospitalization records. Setting/participants: Ontario decedents (1 January 2014 to 31 December 2016) admitted to an acute care hospital in their last year of life, excluding individuals age of <18 years or >105 years at admission, those not eligible for the provincial health insurance plan between their hospitalization and death dates, and non-Ontario residents. Results: Delirium was recorded as a diagnosis in 8.2% of hospitalizations. The frequency of delirium-related hospitalizations increased as death approached. Delirium prevalence was higher in patients with dementia (prevalence ratio: 1.43; 95% confidence interval: 1.36–1.50), frailty (prevalence ratio: 1.67; 95% confidence interval: 1.56–1.80), or organ failure–related cause of death (prevalence ratio: 1.23; 95% confidence interval: 1.16–1.31) and an opioid prescription (prevalence ratio: 1.17; 95% confidence interval: 1.12–1.21). Prevalence also varied by age, sex, chronic conditions, antipsychotic use, receipt of long-term care or home care, and hospitalization characteristics. Conclusion: This study described the occurrence and timing of delirium in acute care hospitals in the last year of life and identified factors associated with delirium. These findings can be used to support delirium prevention and early detection in the hospital setting.

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