Prevalence and risk factors associated within 48-hour unplanned paediatric intensive care unit readmissions: An integrative review.

BACKGROUND: Unplanned paediatric intensive care unit (PICU) readmission is associated with increased morbidity/mortality, hospital length of stay, and health service cost and is recognised as a key performance indicator of quality-of-care delivery. However, research evidence on unplanned PICU readmission risk factors is limited, and results were inconsistent across studies. AIM: The aim of this experiment was to collate and synthesise unplanned within-48-h PICU readmission prevalence and associated risk factors. METHODS: An integrative review was conducted, guided by a five-stage framework. Seven electronic databases were searched (2013-30th June 2023). Studies published in English with full-text accessibility and detailed methodologies were included. The quality of included studies was critically appraised using the Joanna Briggs Institute checklists. Prevalence and risk factors were extracted, synthesised, and presented narratively. RESULTS: Ten studies met eligibility criteria and reported a varied readmission rate from 0.008% to 6.49%. Fifteen types of significant risk factors were extracted. Twelve consistently cited risk factors were age, weight, complex chronic conditions, admission source, unplanned admission, PICU length of stay, positive pressure ventilation, discharge disposition, oxygen requirements, respiratory rate, heart rate, and Glasgow Coma Score at discharge. Of the 12, five predictors were classified as modifiable factors, including discharge disposition, oxygen requirement, abnormal respiratory rate, abnormal heart rate, and decreased Glasgow Coma Score at discharge. CONCLUSION: This review acknowledges the complexity of confounding factors impacting unplanned PICU readmission and the lack of standardisation examining potential risk factors. The five modifiable factors are suggestive of clinical instability and premature PICU discharge. Patients with modifiable risk factors should have their readiness for discharge re-evaluated. Scaffolding support to manage patients at risk of readmission includes senior bedside nursing allocation, use of PICU outreach services, and 1:2 nurse-to-patient ratios in the ward setting, which are warranted to ensure patient safety.

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.

Integrated clinical pathways for lower limb orthopaedic surgeries: An updated systematic review.

OBJECTIVE: The objective of the study was to comprehensively synthesise the components of integrated clinical pathways (ICPs) and post-operative outcomes of patients undergone total hip and knee arthroplasty (THA & TKA) and hip fracture surgeries. BACKGROUND: Previous systematic reviews examined components and effectiveness of ICPs for lower limb joint replacement and hip fracture surgeries. DESIGN AND METHODS: An updated systematic review guided by the Whittemore and Knafl (2005) framework. Electronic databases, Ovid MEDLINE, EBSCOhost-CINAHL, the Cochrane Reviews and Trails, EMBASE and PubMed, were searched from 2007 to 31 January 2021. Due to the heterogeneity of the methods and data collection tools of included studies, pooling of the quantitative data was not possible. Therefore, the included studies were synthesised and presented narratively under subthemes of arthroplasty and hip fracture surgeries. The PRISMA checklist for systematic reviews was used. RESULTS: Twenty-four studies met selection criteria with 11 examined ICPs for hip fracture and 13 for the THA and TKA. Twenty-one ICPs were reviewed, and 33 components were extracted. The most frequently included components for hip fracture subgroup were 'discharge disposition arrangement' and 'dedicated personnel and resources'. 'Exercise plan' and 'pain management' were for the arthroplasty subgroup. A significant reduction in the length of stay and post-operative complications were associated with the ICPs. Results were mixed for the effectiveness of ICPs in reducing unplanned hospital admissions, mortality rates, post-operative complications and hospital costs. CONCLUSION: The number of ICP components varied across studies. This review could not recommend a one size-fits-all ICP that could be adapted for use for patients undergoing hip fracture and joint replacement surgeries. RELEVANCE FOR CLINICAL PRACTICE: This review identified research evidence-based components considered as essential for the inclusion in ICP's for hip fracture and arthroplasty surgeries. Further research is suggested to determine the patient experience and healthcare providers' acceptance of ICPs.

The effectiveness of radiofrequency scanning technology in preventing retained surgical items: An integrative review.

AIMS AND OBJECTIVES: To synthesise evidence on the effectiveness of radiofrequency (RF) scanning technology as an adjunct to manual counting protocols in preventing retained surgical items (RSIs) in the operating room. BACKGROUND: Despite the implementation of rigorous manual counting protocols, RSIs remain one of the most common reported sentinel events in operating theatres that lead to adverse patient outcomes. DESIGN: An integrative review. METHODS: This review was guided by the Whittemore and Knafl (2005) framework. A literature search using CINAHL, MEDLINE, ProQuest, PubMed, and Scopus with key search terms related to RSIs and RF was applied to select English articles from January 2011 till August 2021. The Joanna Briggs Institute (JBI) Critical Appraisal Checklist was utilised for study quality assessment while reporting of review was guided using the PRISMA checklist. RESULTS: A total of 15 peer-reviewed articles were included, enabling the knowledge on the RF scanning technology to be grouped into four themes, namely: detection accuracy of RF scanning technology, real-time detection of surgical items using RF identification, the impact of the RF scanning technology for detecting RSIs on patient safety, and cost-analysis of integrating the RF scanning technology in operating theatres. CONCLUSION: Radiofrequency scanning technology is effective in preventing RSIs with significant cost-savings. Perioperative leaders should develop a multidisciplinary process to evaluate and select the most appropriate RF scanning technology as part of their patient safety programs. However, future studies with a larger sample size and robust research design, such as randomised controlled trial, should be considered to enhance the generalisability and rigour of evidence. RELEVANCE TO CLINICAL PRACTICE: This review contributes to perioperative personnel's education/training of staff on using RF scanning technology to prevent RSIs. The cost-effectiveness analysis enables the healthcare leaders to decide on the selection of appropriate RF technology.

Risk factors associated with 30-day unplanned hospital readmission for patients with mental illness.

Unplanned hospital readmission rate is up to 43% in mental health settings, which is higher than in general health settings. Unplanned readmissions delay the recovery of patients with mental illness and add financial burden on families and healthcare services. There have been efforts to reduce readmissions with a particular interest in identifying patients at higher readmission risk after index admission; however, the results have been inconsistent. This systematic review synthesized risk factors associated with 30-day unplanned hospital readmissions for patients with mental illness. Eleven electronic databases were searched from 2010 to 30 September 2021 using key terms of 'mental illness', 'readmission' and 'risk factors'. Sixteen studies met the selection criteria for this review. Data were synthesized using content analysis and presented in narrative and tabular form because the extracted risk factors could not be pooled statistically due to methodological heterogeneity of the included studies. Consistently cited readmission predictors were patients with lower educational background, unemployment, previous mental illness hospital admission and more than 7 days of the index hospitalization. Results revealed the complexity of identifying unplanned hospital readmission predictors for people with mental illness. Policymakers need to specify the expected standards that written discharge summary must reach general practitioners concurrently at discharge. Hospital clinicians should ensure that discharge summary summaries are distributed to general practitioners for effective ongoing patient care and management. Having an advanced mental health nurse for patients during their transition period needs to be explored to understand how this role could ensure referrals to the general practitioner are eventuated.

Accuracy, interpretability and usability study of a wireless self-guided fetal heartbeat monitor compared to cardiotocography.

Fetal Cardiography is usually performed using in-hospital Cardiotocographic (CTG) devices to assess fetal wellbeing. New technologies may permit home-based, self-administered examinations. We compared the accuracy, clinical interpretability, and user experience of a patient-administered, wireless, fetal heartbeat monitor (HBM) designed for home use, to CTG. Initially, participants had paired HBM and CTG examinations performed in the clinic. Women then used the HBM unsupervised and rated the experience. Sixty-three women had paired clinic-based HBM and CTG recordings, providing 6982 fetal heart rate measures for point-to-point comparison from 126 min of continuous recording. The accuracy of the HBM was excellent, with limits of agreement (95%) for mean fetal heart rate (FHR) between 0.72 and -1.78 beats per minute. The FHR was detected on all occasions and confirmed to be different from the maternal heart rate. Both methods were equally interpretable by Obstetricians, and had similar signal loss ratios. Thirty-four (100%) women successfully detected the FHR and obtained clinically useful cardiographic data using the device at home unsupervised. They achieved the required length of recording required for non-stress test analysis. The monitor ranked in the 96-100th percentile for usability and learnability. The HBM is as accurate as gold-standard CTG, and provides equivalent clinical information enabling use in non-stress test analyses conducted outside of hospitals. It is usable by expectant mothers with minimal training.

Consistency of pediatric pain ratings between dyads: an updated meta-analysis and metaregression.

Accurate assessment of pediatric pain remains a challenge, especially for children who are preverbal or unable to communicate because of their health condition or a language barrier. A 2008 meta-analysis of 12 studies found a moderate correlation between 3 dyads (child-caregiver, child-nurse, and caregiver-nurse). We updated this meta-analysis, adding papers published up to August 8, 2021, and that included intraclass correlation/weighted kappa statistics (ICC/WK) in addition to standard correlation. Forty studies (4,628 children) were included. Meta-analysis showed moderate pain rating consistency between child and caregiver (ICC/WK = 0.51 [0.39-0.63], correlation = 0.59 [0.52-0.65], combined = 0.55 [0.48-0.62]), and weaker consistency between child and health care provider (HCP) (ICC/WK = 0.38 [0.19-0.58], correlation = 0.49 [0.34-0.55], combined = 0.45; 95% confidence interval 0.34-0.55), and between caregiver and HCP (ICC/WK = 0.27 [-0.06 to 0.61], correlation = 0.49 [0.32 to 0.59], combined = 0.41; 95% confidence interval 0.22-0.59). There was significant heterogeneity across studies for all analyses. Metaregression revealed that recent years of publication, the pain assessment tool used by caregivers (eg, Numerical Rating Scale, Wong-Baker Faces Pain Rating Scale, and Visual Analogue Scale), and surgically related pain were each associated with greater consistency in pain ratings between child and caregiver. Pain caused by surgery was also associated with improved rating consistency between the child and HCP. This updated meta-analysis warrants pediatric pain assessment researchers to apply a comprehensive pain assessment scale Patient-Reported Outcomes Measurement Information System to acknowledge psychological and psychosocial influence on pain ratings.

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.

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.

Risk factors associated with paediatric unplanned hospital readmissions: a systematic review.

OBJECTIVE: To synthesise evidence on risk factors associated with paediatric unplanned hospital readmissions (UHRs). DESIGN: Systematic review. DATA SOURCE: CINAHL, EMBASE (Ovid) and MEDLINE from 2000 to 2017. ELIGIBILITY CRITERIA: Studies published in English with full-text access and focused on paediatric All-cause, Surgical procedure and General medical condition related UHRs were included. DATA EXTRACTION AND SYNTHESIS: Characteristics of the included studies, examined variables and the statistically significant risk factors were extracted. Two reviewers independently assessed study quality based on six domains of potential bias. Pooling of extracted risk factors was not permitted due to heterogeneity of the included studies. Data were synthesised using content analysis and presented in narrative form. RESULTS: Thirty-six significant risk factors were extracted from the 44 included studies and presented under three health condition groupings. For All-cause UHRs, ethnicity, comorbidity and type of health insurance were the most frequently cited factors. For Surgical procedure related UHRs, specific surgical procedures, comorbidity, length of stay (LOS), age, the American Society of Anaesthesiologists class, postoperative complications, duration of procedure, type of health insurance and illness severity were cited more frequently. The four most cited risk factors associated with General medical condition related UHRs were comorbidity, age, health service usage prior to the index admission and LOS. CONCLUSIONS: This systematic review acknowledges the complexity of readmission risk prediction in paediatric populations. This review identified four risk factors across all three health condition groupings, namely comorbidity; public health insurance; longer LOS and patients<12 months or between 13-18 years. The identification of risk factors, however, depended on the variables examined by each of the included studies. Consideration should be taken into account when generalising reported risk factors to other institutions. This review highlights the need to develop a standardised set of measures to capture key hospital discharge variables that predict unplanned readmission among paediatric patients.

A 5-year retrospective cohort study of unplanned readmissions in an Australian tertiary paediatric hospital.

Objective The aim of this study was to examine the characteristics and prevalence of all-cause unplanned hospital readmissions at a tertiary paediatric hospital in Western Australia from 2010 to 2014. Methods A retrospective cohort descriptive study was conducted. Unplanned hospital readmission was identified using both 28- and 30-day measurements from discharge date of an index hospital admission to the subsequent related unplanned admission date. This allowed international comparison. Results In all, 73132 patients with 134314 discharges were identified. During the 5-year period, 4070 discharges (3.03%) and 3330 patients (4.55%) were identified as 30-day unplanned hospital readmissions. There were minimal differences in the rate of readmissions on Days 28, 29 and 30 (0.2%). More than 50% of readmissions were identified as a 5-day readmission. Nearly all readmissions for croup and epiglottitis occurred by Day 5; those for acute bronchiolitis and obstructive sleep apnoea requiring tonsillectomy and/or adenoidectomy occurred by Day 15 and those for acute appendicitis and abdominal and pelvic pain occurred by Day 30. Conclusion This study highlights the variability in the distribution of time intervals from discharge to readmission among diagnoses, suggesting the commonly used 28- or 30-day readmission measurement requires review. It is crucial to establish an appropriate measurement for specific paediatric conditions related to readmissions for the accurate determination of the prevalence and actual costs associated with readmissions. What is known about this topic? Unplanned hospital readmissions result in inefficient use of health resources. Australia has used 28 days to measure unplanned readmissions. However, the 30-day measurement is commonly used in the literature. Only five Australian studies were identified with a focus on readmissions associated with specific paediatric health conditions. What does this paper add? This is the first known study examining paediatric all-cause unplanned same-hospital readmissions in Western Australia. The study used both 28- and 30-day measures from discharge to unplanned readmission to allow international comparison. More than half the unplanned hospital readmissions occurred between Day 0 and Day 5 following discharge from the index admission. Time intervals from discharge date to readmission date varied for diagnosis-specific readmissions of paediatric patients. What are the implications for practitioners? Targeting the top principal index admission diagnoses identified for paediatric readmissions is critical for improvement in the continuity of discharge care delivery, health resource utilisation and associated costs. Because 52% of unplanned readmissions occurred in the first 5 days, urgent investigation and implementation of prevention strategies are required, especially when the readmission occurs on the date of discharge.

Nurse-physician communication - An integrated review.

AIM AND OBJECTIVE: To present a comprehensive review of current evidence on the factors which impact on nurse-physician communication and interventions developed to improve nurse-physician communication. BACKGROUND: The challenges in nurse-physician communication persist since the term 'nurse-doctor game' was first used in 1967, leading to poor patient outcomes such as treatment delays and potential patient harm. Inconsistent evidence was found on the factors and interventions which foster or impair effective nurse-physician communication. DESIGN: An integrative review was conducted following a five-stage process: problem identification, literature search, data evaluation, data analysis and presentation. METHODS: Five electronic databases were searched from 2005 to April 2016 using key search terms: "improve*," "nurse-physician," "nurse," "physician" and "communication" in five electronic databases including the Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE, PubMed, Science Direct and Scopus. RESULTS: A total of 22 studies were included in the review. Four themes emerged from the data synthesis, namely communication styles; factors that facilitate nurse-physician communication; barriers to effective nurse-physician communication; and interventions to improve nurse-physician communication. CONCLUSION: This integrative review suggests that nurse-physician communication still remains ineffective. Current interventions only address information needs of nurses and physicians in limited situations and specific settings but cannot adequately address the interprofessional communication skills that are lacking in practice. The disparate views of nurses and physicians on communication due to differing training backgrounds confound the effectiveness of current interventions or strategies. RELEVANCE TO CLINICAL PRACTICE: Cross-training and interprofessional educational from undergraduate to postgraduate programmes will better align the training of nurses and physicians to communicate effectively. Further research is needed to determine the feasibility and generalisability of interventions, such as localising physicians and using communication tools, to improve nurse-physician communication. Organisational and cultural changes are needed to overcome ingrained practices impeding nurse-physician communication.

Demographics and Personality Factors Associated with Burnout among Nurses in a Singapore Tertiary Hospital.

Background. The aim of the study was to evaluate the prevalence and extent of burnout among nurses in Singapore and investigate the influence of demographic factors and personal characteristics on the burnout syndrome. Methods. A cross-sectional survey design was adopted. All registered nurses working in Singapore General Hospital were approached to participate. A questionnaire eliciting data on demographics, burnout (measured using the Maslach Burnout Inventory, MBI), and personality profile (measured using the NEO Five-Factor Inventory, NEO-FFI) was used. Results. 1830 nurses out of 3588 responded (response rate: 51%). Results from 1826 respondents were available for analysis. The MBI identified 39% to have high emotional exhaustion (EE, cut-off score of >27), 40% having high depersonalization (DP, cut-off score of >10), and 59% having low personal accomplishment (PA, cut-off score of <33). In multivariable analysis, age, job grade, and neuroticism were significantly associated with each of the 3 components of the MBI. Staff nurses less than 30 years with high to very high neuroticism were more likely to experience high EE, high DP, and low PA. Conclusion. Younger nurses in Singapore are at increased risk of burnout. Personality traits also played a significant role in the experience of burnout.

Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review.

OBJECTIVE: To update previous systematic review of predictive models for 28-day or 30-day unplanned hospital readmissions. DESIGN: Systematic review. SETTING/DATA SOURCE: CINAHL, Embase, MEDLINE from 2011 to 2015. PARTICIPANTS: All studies of 28-day and 30-day readmission predictive model. OUTCOME MEASURES: Characteristics of the included studies, performance of the identified predictive models and key predictive variables included in the models. RESULTS: Of 7310 records, a total of 60 studies with 73 unique predictive models met the inclusion criteria. The utilisation outcome of the models included all-cause readmissions, cardiovascular disease including pneumonia, medical conditions, surgical conditions and mental health condition-related readmissions. Overall, a wide-range C-statistic was reported in 56/60 studies (0.21-0.88). 11 of 13 predictive models for medical condition-related readmissions were found to have consistent moderate discrimination ability (C-statistic ≥0.7). Only two models were designed for the potentially preventable/avoidable readmissions and had C-statistic >0.8. The variables 'comorbidities', 'length of stay' and 'previous admissions' were frequently cited across 73 models. The variables 'laboratory tests' and 'medication' had more weight in the models for cardiovascular disease and medical condition-related readmissions. CONCLUSIONS: The predictive models which focused on general medical condition-related unplanned hospital readmissions reported moderate discriminative ability. Two models for potentially preventable/avoidable readmissions showed high discriminative ability. This updated systematic review, however, found inconsistent performance across the included unique 73 risk predictive models. It is critical to define clearly the utilisation outcomes and the type of accessible data source before the selection of the predictive model. Rigorous validation of the predictive models with moderate-to-high discriminative ability is essential, especially for the two models for the potentially preventable/avoidable readmissions. Given the limited available evidence, the development of a predictive model specifically for paediatric 28-day all-cause, unplanned hospital readmissions is a high priority.

Transitioning adolescent and young adults with chronic disease and/or disabilities from paediatric to adult care services - an integrative review.

AIMS AND OBJECTIVES: This paper aims to provide an updated comprehensive review of the research-based evidence related to the transitions of care process for adolescents and young adults with chronic illness/disabilities since 2010. BACKGROUND: Transitioning adolescent and young adults with chronic disease and/or disabilities to adult care services is a complex process, which requires coordination and continuity of health care. The quality of the transition process not only impacts on special health care needs of the patients, but also their psychosocial development. Inconsistent evidence was found regarding the process of transitioning adolescent and young adults. DESIGN: An integrative review was conducted using a five-stage process: problem identification, literature search, data evaluation, data analysis and presentation. METHODS: A search was carried out using the EBSCOhost, Embase, MEDLINE, PsycINFO, and AustHealth, from 2010 to 31 October 2014. The key search terms were (adolescent or young adult) AND (chronic disease or long-term illness/conditions or disability) AND (transition to adult care or continuity of patient care or transfer or transition). RESULTS: A total of 5719 records were initially identified. After applying the inclusion criteria a final 61 studies were included. Six main categories derived from the data synthesis process are Timing of transition; Perceptions of the transition; Preparation for the transition; Patients' outcomes post-transition; Barriers to the transition; and Facilitating factors to the transition. A further 15 subcategories also surfaced. CONCLUSIONS: In the last five years, there has been improvement in health outcomes of adolescent and young adults post-transition by applying a structured multidisciplinary transition programme, especially for patients with cystic fibrosis and diabetes. However, overall patients' outcomes after being transited to adult health care services, if recorded, have remained poor both physically and psychosocially. An accurate tracking mechanism needs to be established by stakeholders as a formal channel to monitor patients' outcomes post- transition.

Family-centred care for hospitalised children aged 0-12 years.

BACKGROUND: This is an update of the Cochrane systematic review of family-centred care published in 2007 (Shields 2007). Family-centred care (FCC) is a widely used model in paediatrics, is thought to be the best way to provide care to children in hospital and is ubiquitous as a way of delivering care. When a child is admitted, the whole family is affected. In giving care, nurses, doctors and others must consider the impact of the child's admission on all family members. However, the effectiveness of family-centred care as a model of care has not been measured systematically. OBJECTIVES: To assess the effects of family-centred models of care for hospitalised children aged from birth (unlike the previous version of the review, this update excludes premature neonates) to 12 years, when compared to standard models of care, on child, family and health service outcomes. SEARCH METHODS: In the original review, we searched up until 2004. For this update, we searched: the Cochrane Central Register of Controlled Trials (CENTRAL,The Cochrane Library, Issue 12 2011); MEDLINE (Ovid SP); EMBASE (Ovid SP); PsycINFO (Ovid SP); CINAHL (EBSCO Host); and Sociological Abstracts (CSA). We did not search three that were included in the original review: Social Work Abstracts, the Australian Medical Index and ERIC. We searched EMBASE in this update only and searched from 2004 onwards. There was no limitation by language. We performed literature searches in May and June 2009 and updated them again in December 2011. SELECTION CRITERIA: We searched for randomised controlled trials (RCTs) including cluster randomised trials in which family-centred care models are compared with standard models of care for hospitalised children (0 to 12 years, but excluding premature neonates). Studies had to meet criteria for family-centredness. In order to assess the degree of family-centredness, we used a modified rating scale based on a validated instrument, (same instrument used in the initial review), however, we decreased the family-centredness score for inclusion from 80% to 50% in this update. We also changed several other selection criteria in this update: eligible study designs are now limited to randomised controlled trials (RCTs) only; single interventions not reflecting a FCC model of care have been excluded; and the selection criterion whereby studies with inadequate or unclear blinding of outcome assessment were excluded from the review has been removed. DATA COLLECTION AND ANALYSIS: Two review authors undertook searches, and four authors independently assessed studies against the review criteria, while two were assigned to extract data. We contacted study authors for additional information. MAIN RESULTS: Six studies found since 2004 were originally viewed as possible inclusions, but when the family-centred score assessment was tested, only one met the minimum score of family-centredness and was included in this review. This was an unpublished RCT involving 288 children post-tonsillectomy in a care-by-parent unit (CBPU) compared with standard inpatient care.The study used a range of behavioural, economic and physical measures. It showed that children in the CBPU were significantly less likely to receive inadequate care compared with standard inpatient admission, and there were no significant differences for their behavioural outcomes or other physical outcomes. Parents were significantly more satisfied with CBPU care than standard care, assessed both before discharge and at 7 days after discharge. Costs were lower for CPBU care compared with standard inpatient care. No other outcomes were reported. The study was rated as being at low to unclear risk of bias. AUTHORS' CONCLUSIONS: This update of a review has found limited, moderate-quality evidence that suggests some benefit of a family-centred care intervention for children's clinical care, parental satisfaction, and costs, but this is based on a small dataset and needs confirmation in larger RCTs. There is no evidence of harms. Overall, there continues to be little high-quality quantitative research available about the effects of family-centred care. Further rigorous research on the use of family-centred care as a model for care delivery to children and families in hospitals is needed. This research should implement well-developed family-centred care interventions, ideally in randomised trials. It should investigate diverse participant groups and clinical settings, and should assess a wide range of outcomes for children, parents, staff and health services.

Family-centred care for hospitalised children aged 0-12 Years: A systematic review of quasi-experimental studies.

BACKGROUND: Family-centred care is an approach to the planning, delivery, and evaluation of health care that is grounded in mutually beneficial partnerships among health care providers, patients, and families. It is a widely used model in paediatrics, and is felt instinctively to be the best way to provide care to children in hospital. However, its effectiveness has not been established. OBJECTIVES: The objective of this review was to identify the effectiveness of family-centred models of care for children (excluding premature neonates) when compared to standard models of care. INCLUSION CRITERIA: The review considered quasi-experimental studies of children aged 0-12 years, their families and/or attending health professionals. Interventions for inclusion were family-centred polices, family support, communication, educational and environmental. Outcomes of interest covered three categories: the child, parent and staff. These included psychological, behavioural, physical, developmental, knowledge, satisfaction and attitudinal outcomes. The degree of family-centredness for eligible studies was scored using a modified rating scale based on that developed by Trivette.This review considered studies that included hospitalised children aged 0-12 years (excluding premature neonates), their family and/or health care professionals.The review considered studies that evaluated the effectiveness of family-centred models of care for hospitalised children when compared to standard models of care.The review considered quasi-experimental studies for inclusion to enable the identification of current best evidence regarding the effectiveness of family-centred models of care on child, family and health service outcomes. Quasi-experimental design includes experimental studies in which participants are not randomly assigned to treatment conditions.This review considered studies that included the following outcome measures: SEARCH STRATEGY: The search strategy identified published and unpublished studies dated from 2004 to December 2011. Individual search strategies were developed for six databases and eight resources. METHODOLOGICAL QUALITY: To be considered for inclusion in the review, each study had to meet a pre-established level of family-centredness, as determined using a modified rating scale based on that developed by Trivette.The study that met the required degree of family-centredness and other eligibility criteria was then assessed by two independent reviewers for methodological quality prior to inclusion in the review, using standardised critical appraisal instruments from the Joanna Briggs Institute Meta Analysis of Statistics Assessment and Review Instrument. The third reviewer was not required. DATA COLLECTION: Data were independently extracted from this remaining quasi-experimental study by two independent reviewers, using a standardised data extraction tool. Data were extracted including specific details about the interventions, population, study methods and outcomes of significance to the review question and specific objectives. The third reviewer was not required as there were no disagreements between the reviewers. DATA SYNTHESIS: Pooling of quantitative data was not possible as only one study was included in this review. Therefore, the quantitative results of the study have been presented in narrative form. RESULTS: Only one study met the inclusion criteria for this review. The study addressed three interventions (information sharing, joint decision making, and participating in care activities), and two outcomes (self-efficacy in participatory involvement in child care and satisfaction with nursing care). The study found that at Day 5 after Paediatric Intensive Care Unit admission the mothers' self-efficacy in participatory involvement in child care and satisfaction with nursing care in the experimental group were significantly higher than in the control group. CONCLUSIONS: Based on this review alone, and the acknowledgement that only one quasi-experimental study met the inclusion criteria, no firm conclusion could be drawn about the effectiveness of family-centred care for children in hospital. However, taken with the recent Cochrane review update on the effectiveness of the model of family-centred care, we suggest that it is time to search for a more effective model of care delivery which supports the child and family without putting undue pressure on families to stay with their child if it is difficult to do so.

Association between self-report pain ratings of child and parent, child and nurse and parent and nurse dyads: meta-analysis.

AIM: This paper is a report of a meta-analysis to investigate the association between self-report pain ratings for the dyads of child and parent, child and nurse and parent and nurse. BACKGROUND: Existing research has shown conflicting results with regard to agreements of self-report pain ratings between the three dyads. DATA SOURCES: The CINAHL, Medline, Ovid and PsycINFO databases were searched using keyword, such as 'children/adolescents', 'parents/nurses', 'pain assessment', 'pain ratings', 'association' and 'agreement'. Studies published in English in or after 1990 were included. METHODS: Meta-analysis methodology was applied to 12 pain assessment studies published between 1990 and 2007 which met the inclusion criteria. In the 12 studies a common effect size was estimated using the Pearson's correlation coefficient. Therefore, a fixed-effects model was chosen for this meta-analysis. RESULTS: We found moderate summary effect sizes between self-reported pain ratings for the dyad of child and parent (r = 0.64) and the child and nurse dyad (r = 0.58) and a weak summary effect size of r = 0.49 for the dyad of parent and nurse. The summarized effect sizes for each of the three dyads varied across the studies. A test of homogeneity (Q-statistic) indicated that all effect size estimates were not homogeneous. CONCLUSION: Parents' and nurses' perceptions of children's pain should only be considered as estimates rather than expressions of the pain experienced, and not the same as children's self-reports. There is a need for education on selection of appropriate pain assessment scales in relation to the age and development of the child.