A predictive model for identifying patients at risk of delayed transfer of care: a retrospective, cross-sectional study of routinely collected data

Background Delays to the transfer of care from hospital to other settings represent a significant human and financial cost. This delay occurs when a patient is clinically ready to leave the inpatient setting but is unable to because other necessary care, support or accommodation is unavailable. The aim of this study was to interrogate administrative and clinical data routinely collected when a patient is admitted to hospital following attendance at the emergency department (ED), to identify factors related to delayed transfer of care (DTOC) when the patient is discharged. We then used these factors to develop a predictive model for identifying patients at risk for delayed discharge of care. Objective To identify risk factors related to the delayed transfer of care and develop a prediction model using routinely collected data. Methods This is a single centre, retrospective, cross-sectional study of patients admitted to an English National Health Service university hospital following attendance at the ED between January 2018 and December 2020. Clinical information (e.g. national early warning score (NEWS)), as well as administrative data that had significant associations with admissions that resulted in delayed transfers of care, were used to develop a predictive model using a mixed-effects logistic model. Detailed model diagnostics and statistical significance, including receiver operating characteristic analysis, were performed. Results Three-year (2018–20) data were used; a total of 92 444 admissions (70%) were used for model development and 39 877 (30%) admissions for model validation. Age, gender, ethnicity, NEWS, Glasgow admission prediction score, Index of Multiple Deprivation decile, arrival by ambulance and admission within the last year were found to have a statistically significant association with delayed transfers of care. The proposed eight-variable predictive model showed good discrimination with 79% sensitivity (95% confidence intervals (CIs): 79%, 81%), 69% specificity (95% CI: 68%, 69%) and 70% (95% CIs: 69%, 70%) overall accuracy of identifying patients who experienced a DTOC. Conclusion Several demographic, socio-economic and clinical factors were found to be significantly associated with whether a patient experiences a DTOC or not following an admission via the ED. An eight-variable model has been proposed, which is capable of identifying patients who experience delayed transfers of care with 70% accuracy. The eight-variable predictive tool calculates the probability of a patient experiencing a delayed transfer accurately at the time of admission.

National Survey of Psychiatric Intensive Care, Low Secure and Locked Rehabilitation Services: NHS patient characteristics

Aims: To update the benchmark from the 2006 National Survey, comparing users of NHS psychiatric intensive care (PICU) and low secure (LSU) services, and to define 'locked rehabilitation' (LRU) patient characteristics.<br/> Method: A cross-sectional census day questionnaire (November 2016) with a six month follow-up ending in May 2017.<br/>Results: 104 NHS units responded: 73 PICU, 644 patients; 17 LSU, 190 patients; 14 LRU, 183 patients. The typical PICU patient is younger, employed, stays for shorter periods, is more likely to suffer delayed discharge and mood disorder, have complex needs, have had mental health admissions in the last 12 months, be on 1:1 or higher observations, and have fewer antipsychotic and physical health medications but more benzodiazepines. The typical LSU patient is an out of area transfer, least likely to have been admitted for self-harm or non-concordance, and is of Black Other ethnic origin. The typical LRU patient is less likely to be married or have a long-term partner, has the lowest complex needs, but is most likely to have had physical examination and investigations.<br/>Discussion: There has been a rise in PICU and LSU patients from the Black and Minority Ethnic (BAME) population. Length of stay (LoS) for PICU and LSU patients has doubled; there are lower rates of delayed transfers of care.<br/>Conclusions : Our findings demonstrate that PICU and LSU services are providing care to the right patients as they were conceptualised in national guidance, and provide a benchmark for LRU patients.

Hospital social work and discharge planning for older people: challenges of working in a clinical setting

Across the world acute hospitals are under unprecedented pressures due to shrinking budgets and increasing demand, against this backdrop they are also experiencing record levels of activity in Accident & Emergency and delayed transfers of care. Reducing pressure on hospitals by avoiding unnecessary admissions and delayed discharges has risen up the global policy agenda. However, reviews of strategies and policies have rarely involved discussions about the role that hospital social workers play in achieving timely hospital discharge. Yet discharge planning has become a, if not the, central function of these professionals. This paper presents the results of a small-scale exploratory study of hospital social work in an acute hospital in Northern Ireland. The findings reveal that the work of hospital social workers is characterised by increased bureaucracy, an emphasis on targets and a decrease in the time afforded to forming relationships with older people. Hospital social workers highlight concerns that the emphasis on discharge planning and pressures associated with the austerity agenda limits their capacity to provide other more traditional roles such as advocacy and counselling. It is argued that hospital social work should not be narrowly defined as ‘simply’ co-ordinating discharge plans. The tension that arises between expediting hospital discharge and advocating for older people and their families is also discussed.

Evaluating the Utilisation of a Service Designed to Enhance Care with Medicines Following Acute Hospital Discharge: A Retrospective Study

Introduction Medication safety challenges are common after hospital discharge and an important global health care improvement target [1,2]. ‘Transfers of Care Around Medicines’ (TCAM) services have been suggested as an intervention that may help address this problem, and are designed to enable the referral of patients on discharge from the hospital to a named community pharmacy in the surrounding Clinical Commissioning Group (CCG). A TCAM service was launched by a large NHS Trust in England in February 2019 to enhance medicines communication and optimisation between primary and secondary care following hospital discharge. The TCAM service is delivered through the PharmOutcomes™ platform, and the initial focus of the service was to support patients with new or existing Monitored Dosage Systems (MDS). Aim To evaluate the utilisation of the TCAM service in the host NHS Trust and surrounding CCG through the examination of the nature and outcome of referrals made to community pharmacy. Method Anonymised service delivery data of patients referred from the TCAM service via the PharmOutcomes™ platform between March 2019 – February 2020 were retrospectively examined. The data comprised important variables, including patient demographics, status and time of referrals, and referral outcomes including problems/errors identified with medications and services provided by the community pharmacy such as medicines reconciliation. Study approvals were obtained from the host NHS Trust and the Health Research Authority (HRA); the study was exempt from the University Research Ethics Committee (UREC) approval [2019-7048-10983]. Results A total of 3,033 TCAM referrals to 67 community pharmacies were analysed. Most referrals were for patients aged 70 and above (72%, n=2,195) and 56% (n=1,713/3,033) of the referrals were for female patients. The number of referrals varied between 215 and 310 per month (median 246, Inter quartile range [IQR] 234 - 268). Most referrals (67%, 2,038/3,033) were marked as ‘completed’ by the community pharmacies, with 32.8% (n=995) left uncompleted. The rate of referral completion varied between 59 and 80% per month (median 66.4, IQR 64.5 - 70). Five (0.2%) patients were identified by community pharmacies that had adverse drug reactions (ADRs) from the cohort of 2,038 patients with completed referrals, with 45 (2%, n=45/2,038) identified as having issues that necessitated referral to the general practitioner (GP). The most common reason for referral to GP was medication changes identified from hospital, incorrect repeat prescriptions following discharge, to request a new prescription or weekly MDS, and to inform the GP that the patient has stopped taking their medication. The most common services carried out in community pharmacies following referral were reported as medicines reconciliation (47%, n=954/2,038), followed by review of information (46.7%, n=952/2,038), home delivery of medication (39%, n=798/2,038), review MDS arrangements (23.6%, n=482/2,038), commence MDS (18.6%, n=380/2,038), and pharmacy managed repeat service (12%, n=254/2,038). The main strength of this study is the inclusion of referral data that occurred over a one-year period, while the data were limited in generalisability due to inclusion of one geographical region and only patients using MDS. Conclusion The findings of this study may inform the ongoing development of electronic pharmacy referral systems for use at hospital discharge. References 1. Alqenae FA, Steinke D, Keers RN. Prevalence and Nature of Medication Errors and Medication-Related Harm Following Discharge from Hospital to Community Settings: A Systematic Review. Drug safety. 2020 Mar 3:1–21. 2. World Health Organization. Global patient safety challenge: medication without harm. 2017; p. 1–16. http://apps.who.int/iris/bitstream/10665/255263/1/WHO-HIS-SDS-2017.6-eng.pdf?ua=1&ua=1 . Accessed 20 September 2020.

Impact of Urgent and Emergency Care Vanguards on Delayed Transfers of Care in England

Objectives: To assess the relationship between Urgent and Emergency Care (UEC) Vanguards, which include as an aim the integration of healthcare and social care sectors, and Delayed Transfers of Care (DTOC) at Local Authority level in England. Methods: Difference-in-difference pooled cross section, fixed and random effects panel estimations were used to compare DTOC between UEC partner site Local Authorities with non-UEC Local Authorities employing quarterly data on days of DTOC from Local Authorities in England for the period 2010 to 2017. Robustness checks included employing a range of sample and variable specifications and synthetic control estimations.Results: A statistically significant negative relationship was found between UEC Vanguards and DTOC rates that is robust to various specification checks with no indication of UEC participant sites having lower DTOC rates prior to the start of the initiative. Conclusions:UEC Vanguards appear to be associated with up to 40.5% lower DTOC rates at 1% significance level compared with other English Local Authorities. The empirical evidence indicates a statistically significant impact; however, more research is required to explain the reasons for this relationship.

Transfers of Care between Healthcare Professionals in Obstetric Units of Different Sizes across Spain and in a Hospital in Ireland: The MidconBirth Study

Background: In Europe, the majority of healthy women give birth at conventional obstetric units with the assistance of registered midwives. This study examines the relationships between the intrapartum transfer of care (TOC) from midwife to obstetrician-led maternity care, obstetric unit size (OUS) with different degrees of midwifery autonomy, intrapartum interventions and birth outcomes. Methods: A prospective, multicentre, cross-sectional study promoted by the COST Action IS1405 was carried out at eight public hospitals in Spain and Ireland between 2016–2019. The primary outcome was TOC. The secondary outcomes included type of onset of labour, oxytocin stimulation, epidural analgesia, type of birth, episiotomy/perineal injury, postpartum haemorrhage, early initiation of breastfeeding and early skin-to-skin contact. A logistic regression was performed to ascertain the effects of studied co-variables on the likelihood that participants had a TOC; Results: Out of a total of 2,126 low-risk women, those whose intrapartum care was initiated by a midwife (1772) were selected. There were statistically significant differences between TOC and OUS (S1 = 29.0%, S2 = 44.0%, S3 = 52.9%, S4 = 30.2%, p < 0.001). Statistically differences between OUS and onset of labour, oxytocin stimulation, type of birth and episiotomy or perineal injury were observed (p = 0.009, p < 0.001, p < 0.001, p < 0.001 respectively); Conclusions: Findings suggest that the model of care and OUS have a significant effect on the prevalence of intrapartum TOC and the birth outcomes. Future research should examine how models of care differ as a function of the OUS in a hospital, as well as the cost-effectiveness for the health care system.

Transfers of Care Around Medicine

This article covers both patient safety issues and optimising medicine use, this national initiative is known as Transfers of Care around Medicine (TCAM). When a patient moves from one care setting to another, this is known as a transfer of care. When transfers of care occur there is an increased risk of adverse effects due, in part, to medication errors arising. This article asserts that a relatively small investment can generate significant cost avoidances; thereby delivering significant financial, economic and social benefits to the health community as well as enhancing patient safety.

A Model for a Standardized and Sustainable Pediatric Anesthesia-Intensive Care Unit Hand-Off Process

Background and Objectives: The hand-off process between pediatric anesthesia and intensive care unit (ICU) teams involves the exchange of patient health information and plays a major role in reducing errors and increasing staff satisfaction. Our objectives were to (1) standardize the hand-off process in children’s ICUs, and (2) evaluate the provider satisfaction, efficiency and sustainability of the improved hand-off process. Methods: Following multidisciplinary discussions, the hand-off process was standardized for transfers of care between anesthesia-ICU teams. A pre-implementation and two post-implementation (6 months, >2 years) staff satisfaction surveys and audits were conducted to evaluate the success, quality and sustainability of the hand-off process. Results: There was no difference in the time spent during the sign out process following standardization—median 5 min for pre-implementation versus 5 and 6 min for post-implementation at six months and >2 years, respectively. There was a significant decrease in the number of missed items (airway/ventilation, venous access, medications, and laboratory values pertinent events) post-implementation compared to pre-implementation (p ≤ 0.001). In the >2 years follow-up survey, 49.2% of providers felt that the hand-off could be improved versus 78.4% in pre-implementation and 54.2% in the six-month survey (p < 0.001). Conclusion: A standardized interactive hand-off improves the efficiency and staff satisfaction, with a decreased rate of missed information at the cost of no additional time.