Risk factors associated with 31-day unplanned hospital readmission in newborns: a systematic review.

The purpose of this study is to synthesize evidence on risk factors associated with newborn 31-day unplanned hospital readmissions (UHRs). A systematic review was conducted searching CINAHL, EMBASE (Ovid), and MEDLINE from January 1st 2000 to 30th June 2021. Studies examining unplanned readmissions of newborns within 31 days of discharge following the initial hospitalization at the time of their birth were included. Characteristics of the included studies examined variables and statistically significant risk factors were extracted from the inclusion studies. Extracted risk factors could not be pooled statistically due to the heterogeneity of the included studies. Data were synthesized using content analysis and presented in narrative and tabular form. Twenty-eight studies met the eligibility criteria, and 17 significant risk factors were extracted from the included studies. The most frequently cited risk factors associated with newborn readmissions were gestational age, postnatal length of stay, neonatal comorbidity, and feeding methods. The most frequently cited maternal-related risk factors which contributed to newborn readmissions were parity, race/ethnicity, and complications in pregnancy and/or perinatal period. CONCLUSION: This systematic review identified a complex and diverse range of risk factors associated with 31-day UHR in newborn. Six of the 17 extracted risk factors were consistently cited by studies. Four factors were maternal (primiparous, mother being Asian, vaginal delivery, maternal complications), and two factors were neonatal (male infant and neonatal comorbidities). Implementation of evidence-based clinical practice guidelines for inpatient care and individualized hospital-to-home transition plans, including transition checklists and discharge readiness assessments, are recommended to reduce newborn UHRs. WHAT IS KNOWN: • Attempts have been made to identify risk factors associated with newborn UHRs; however, the results are inconsistent. WHAT IS NEW: • Six consistently cited risk factors related to newborn 31-day UHRs. Four maternal factors (primiparous, mother being Asian, vaginal delivery, maternal complications) and 2 neonatal factors (male infant and neonatal comorbidities). • The importance of discharge readiness assessment, including newborn clinical fitness for discharge and parental readiness for discharge. Future research is warranted to establish standardised maternal and newborn-related variables which healthcare providers can utilize to identify newborns at greater risk of UHRs and enable comparison of research findings.

Nurse-Caregiver Communication of Hospital-To-Home Transition Information at a Tertiary Pediatric Hospital in Western Australia: A Multi-Stage Qualitative Descriptive Study.

PURPOSE: To observe and describe nurse-caregiver communication of hospital-to-home transition information at the time of discharge at a tertiary children's hospital of Western Australia. DESIGN AND METHODS: A multi-stage qualitative descriptive design involved 31 direct clinical observations of hospital-to-home transition experiences, and semi-structured interviews with 20 caregivers and 12 nurses post-discharge. Eleven caregivers were re-interviewed 2-4 weeks post-discharge. Transcripts of audio recordings and field notes were analyzed using content analysis. Medical records were examined to determine patients' usage of hospital services within 30 days of discharge. RESULTS: Four themes emerged from the content analysis: structure of hospital-to-home transition information; transition information delivery; readiness for discharge; and recovery experience post-hospital discharge. Examination of medical records found seven patients presented to the Emergency Department within 2-19 days post-discharge, of which three were readmitted. Primary caregivers of three readmitted patients all had limited English proficiency. CONCLUSION: The study affirmed the complexity of transitioning pediatric patients from hospital to home. Inconsistent content and delivery of information impacted caregivers' perception of readiness for discharge and the recovery experience. PRACTICE IMPLICATIONS: Nurses need to assess readiness for discharge to identify individual needs using a validated tool. Inclusion of education on hospital-to-home transition information and discharge planning/process is required in the orientation program for junior and casual staff to ensure consistency of information delivery. Interpreter services should be arranged for caregivers with limited language proficiency throughout the hospital stay especially when transition information is being provided. Nurses should apply teach-back techniques to improve caregivers' comprehension of information.

Risk factors associated with 30-day all-cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia.

AIM: To identify risk factors associated with 30-day all-cause unplanned hospital readmission at a tertiary children's hospital in Western Australia. METHODS: An administrative paediatric inpatient dataset was analysed retrospectively. Patients of all ages discharged between 1 January 2010 and 31 December 2014 were included. Demographic and clinical information at the index admission was examined using multivariate logistic regression analysis. RESULTS: A total of 3330 patients (4.55%) experienced at least one unplanned readmission after discharge. Readmission was more likely to occur in patients who were either older than 16 years (odds ratio (OR) = 1.46; 95% confidence interval (CI) 1.07-1.98), utilising private insurance as an inpatient (OR = 1.16; 95% CI 1.00-1.34), with greater socio-economic advantage (OR = 1.20; 95% CI 1.02-1.41), admitted on Friday (OR = 1.21; 95% CI 1.05-1.39), discharged on Friday/Saturday/Sunday (OR = 1.26, 95% CI 1.10-1.44; OR = 1.34, 95% CI 1.15-1.57; OR = 1.24, 95% CI 1.05-1.47, respectively), with four or more diagnoses at the index admission (OR = 2.41; 95% CI 2.08-2.80) or hospitalised for 15 days or longer (OR = 2.39; 95% CI 1.88-2.98). Area under receiver operating characteristic curve of the predictive model is 0.645. CONCLUSIONS: A moderate discriminative ability predictive model for 30-day all-cause same hospital readmission was developed. A structured discharge plan is suggested to be commenced from admission to ensure continuity of care for patients identified as being at higher risk of readmission. A recommendation is made that a designated staff member be assigned to co-ordinate the plan, including assessment of patients' and primary carers' readiness for discharge. Further research is required to establish comprehensive paediatric readmission rates by accessing linkage data to capture different hospital readmissions.

Psychological therapies for post-traumatic stress disorder and comorbid substance use disorder.

BACKGROUND: Post-traumatic stress disorder (PTSD) is a debilitating mental health disorder that may develop after exposure to traumatic events. Substance use disorder (SUD) is a behavioural disorder in which the use of one or more substances is associated with heightened levels of distress, clinically significant impairment of functioning, or both. PTSD and SUD frequently occur together. The comorbidity is widely recognised as being difficult to treat and is associated with poorer treatment completion and poorer outcomes than for either condition alone. Several psychological therapies have been developed to treat the comorbidity, however there is no consensus about which therapies are most effective. OBJECTIVES: To determine the efficacy of psychological therapies aimed at treating traumatic stress symptoms, substance misuse symptoms, or both in people with comorbid PTSD and SUD in comparison with control conditions (usual care, waiting-list conditions, and no treatment) and other psychological therapies. SEARCH METHODS: We searched the Cochrane Depression, Anxiety and Neurosis Group's Specialised Register (CCDANCTR) all years to 11 March 2015. This register contains relevant randomised controlled trials from the Cochrane Library (all years), MEDLINE (1950 to date), EMBASE (1974 to date), and PsycINFO (1967 to date). We also searched the World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov, contacted experts, searched bibliographies of included studies, and performed citation searches of identified articles. SELECTION CRITERIA: Randomised controlled trials of individual or group psychological therapies delivered to individuals with PTSD and comorbid substance use, compared with waiting-list conditions, usual care, or minimal intervention or to other psychological therapies. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. MAIN RESULTS: We included 14 studies with 1506 participants, of which 13 studies were included in the quantitative synthesis. Most studies involved adult populations. Studies were conducted in a variety of settings. We performed four comparisons investigating the effects of psychological therapies with a trauma-focused component and non-trauma-focused interventions against treatment as usual/minimal intervention and other active psychological therapies. Comparisons were stratified for individual- or group-based therapies. All active interventions were based on cognitive behavioural therapy. Our main findings were as follows.Individual-based psychological therapies with a trauma-focused component plus adjunctive SUD intervention was more effective than treatment as usual (TAU)/minimal intervention for PTSD severity post-treatment (standardised mean difference (SMD) -0.41; 95% confidence interval (CI) -0.72 to -0.10; 4 studies; n = 405; very low-quality evidence) and at 3 to 4 and 5 to 7 months' follow-up. There was no evidence of an effect for level of drug/alcohol use post-treatment (SMD -0.13; 95% CI -0.41 to 0.15; 3 studies; n = 388; very low-quality evidence), but there was a small effect in favour of individual psychological therapy at 5 to 7 months (SMD -0.28; 95% CI -0.48 to -0.07; 3 studies; n = 388) when compared against TAU. Fewer participants completed trauma-focused therapy than TAU (risk ratio (RR) 0.78; 95% CI 0.64 to 0.96; 3 studies; n = 316; low-quality evidence).Individual-based psychological therapy with a trauma-focused component did not perform better than psychological therapy for SUD only for PTSD severity (mean difference (MD) -3.91; 95% CI -19.16 to 11.34; 1 study; n = 46; low-quality evidence) or drug/alcohol use (MD -1.27; 95% CI -5.76 to 3.22; 1 study; n = 46; low-quality evidence). Findings were based on one small study. No effects were observed for rates of therapy completion (RR 1.00; 95% CI 0.74 to 1.36; 1 study; n = 62; low-quality evidence).Non-trauma-focused psychological therapies did not perform better than TAU/minimal intervention for PTSD severity when delivered on an individual (SMD -0.22; 95% CI -0.83 to 0.39; 1 study; n = 44; low-quality evidence) or group basis (SMD -0.02; 95% CI -0.19 to 0.16; 4 studies; n = 513; low-quality evidence). There were no data on the effects on drug/alcohol use for individual therapy. There was no evidence of an effect on the level of drug/alcohol use for group-based therapy (SMD -0.03; 95% CI -0.37 to 0.31; 4 studies; n = 414; very low-quality evidence). A post-hoc analysis for full dose of a widely established group therapy called Seeking Safety showed reduced drug/alcohol use post-treatment (SMD -0.67; 95% CI -1.14 to -0.19; 2 studies; n = 111), but not at subsequent follow-ups. Data on the number of participants completing therapy were not for individual-based therapy. No effects were observed for rates of therapy completion for group-based therapy (RR 1.13; 95% CI 0.88 to 1.45; 2 studies; n = 217; low-quality evidence).Non-trauma-focused psychological therapy did not perform better than psychological therapy for SUD only for PTSD severity (SMD -0.26; 95% CI -1.29 to 0.77; 2 studies; n = 128; very low-quality evidence) or drug/alcohol use (SMD 0.22; 95% CI -0.13 to 0.57; 2 studies; n = 128; low-quality evidence). No effects were observed for rates of therapy completion (RR 0.91; 95% CI 0.68 to 1.20; 2 studies; n = 128; very low-quality evidence).Several studies reported on adverse events. There were no differences between rates of such events in any comparison. We rated several studies as being at 'high' or 'unclear' risk of bias in multiple domains, including for detection bias and attrition bias. AUTHORS' CONCLUSIONS: We assessed the evidence in this review as mostly low to very low quality. Evidence showed that individual trauma-focused psychological therapy delivered alongside SUD therapy did better than TAU/minimal intervention in reducing PTSD severity post-treatment and at long-term follow-up, but only reduced SUD at long-term follow-up. All effects were small, and follow-up periods were generally quite short. There was evidence that fewer participants receiving trauma-focused therapy completed treatment. There was very little evidence to support use of non-trauma-focused individual- or group-based integrated therapies. Individuals with more severe and complex presentations (e.g. serious mental illness, individuals with cognitive impairment, and suicidal individuals) were excluded from most studies in this review, and so the findings from this review are not generalisable to such individuals. Some studies suffered from significant methodological problems and some were underpowered, limiting the conclusions that can be drawn. Further research is needed in this area.

Using machine learning to predict paediatric 30-day unplanned hospital readmissions: a case-control retrospective analysis of medical records, including written discharge documentation.

Objectives To assess whether adding clinical information and written discharge documentation variables improves prediction of paediatric 30-day same-hospital unplanned readmission compared with predictions based on administrative information alone. Methods A retrospective matched case-control study audited the medical records of patients discharged from a tertiary paediatric hospital in Western Australia (WA) between January 2010 and December 2014. A random selection of 470 patients with unplanned readmissions (out of 3330) were matched to 470 patients without readmissions based on age, sex, and principal diagnosis at the index admission. Prediction utility of three groups of variables (administrative, administrative and clinical, and administrative, clinical and written discharge documentation) were assessed using standard logistic regression and machine learning. Results Inclusion of written discharge documentation variables significantly improved prediction of readmission compared with models that used only administrative and/or clinical variables in standard logistic regression analysis (χ2 17=29.4, P=0.03). Highest prediction accuracy was obtained using a gradient boosted tree model (C-statistic=0.654), followed closely by random forest and elastic net modelling approaches. Variables highlighted as important for prediction included patients' social history (legal custody or patient was under the care of the Department for Child Protection), languages spoken other than English, completeness of nursing admission and discharge planning documentation, and timing of issuing discharge summary. Conclusions The variables of significant social history, low English language proficiency, incomplete discharge documentation, and delay in issuing the discharge summary add value to prediction models. What is known about the topic? Despite written discharge documentation playing a critical role in the continuity of care for paediatric patients, limited research has examined its association with, and ability to predict, unplanned hospital readmissions. Machine learning approaches have been applied to various health conditions and demonstrated improved predictive accuracy. However, few published studies have used machine learning to predict paediatric readmissions. What does this paper add? This paper presents the findings of the first known study in Australia to assess and report that written discharge documentation and clinical information improves unplanned rehospitalisation prediction accuracy in a paediatric cohort compared with administrative data alone. It is also the first known published study to use machine learning for the prediction of paediatric same-hospital unplanned readmission in Australia. The results show improved predictive performance of the machine learning approach compared with standard logistic regression. What are the implications for practitioners? The identified social and written discharge documentation predictors could be translated into clinical practice through improved discharge planning and processes, to prevent paediatric 30-day all-cause same-hospital unplanned readmission. The predictors identified in this study include significant social history, low English language proficiency, incomplete discharge documentation, and delay in issuing the discharge summary.

Perceptions of Nursing and Physical Therapy Students Toward Peer-Led Interprofessional Education in Manual Handling.

Perceptions of first-semester BSN students (N = 220) who received education on patient moving and handling skills from either fourth-year physical therapy/physiotherapy student peer teachers (n = 8) or regular nurse educators were obtained via validated scales and focus groups. There was a significant increase in the mean scores of items concerning communication skills in both groups, with increased scores for all items in the peer-led group. The teaching skills of physical therapy/physiotherapy student peers were evaluated highly by the nursing students.

Psychological interventions for post-traumatic stress disorder and comorbid substance use disorder: A systematic review and meta-analysis.

Co-morbid post-traumatic stress disorder (PTSD) and substance use disorder (SUD) are common, difficult to treat, and associated with poor prognosis. This review aimed to determine the efficacy of individual and group psychological interventions aimed at treating comorbid PTSD and SUD, based on evidence from randomised controlled trials. Our pre-specified primary outcomes were PTSD severity, drug/alcohol use, and treatment completion. We undertook a comprehensive search strategy. Included studies were rated for methodological quality. Available evidence was judged through GRADE. Fourteen studies were included. We found that individual trauma-focused cognitive-behavioural intervention, delivered alongside SUD intervention, was more effective than treatment as usual (TAU)/minimal intervention for PTSD severity post-treatment, and at subsequent follow-up. There was no evidence of an effect for level of drug/alcohol use post-treatment but there was an effect at 5-7 months. Fewer participants completed trauma-focused intervention than TAU. We found little evidence to support the use of individual or group-based non-trauma-focused interventions. All findings were judged as being of low/very low quality. We concluded that there is evidence that individual trauma-focused psychological intervention delivered alongside SUD intervention can reduce PTSD severity, and drug/alcohol use. There is very little evidence to support use of non-trauma-focused individual or group-based interventions.