Child Age and Risk of Medication Error: A Multisite Children's Hospital Study.

OBJECTIVE: The objective of this study was to examine associations between patient age and medication errors among pediatric inpatients. STUDY DESIGN: Secondary analysis of data sets generated from 2 tertiary pediatric hospitals: (1) prescribing errors identified from chart reviews for patients on 9 general wards at hospital A during April 22 to July 10, 2016, June 20 to September 20, 2017, and June 20 to September 30, 2020; prescribing errors from 5 wards at hospital B in the same periods and (2) medication administration errors assessed by direct prospective observation of 5137 administrations on 9 wards at hospital A. Multilevel models examined the association between patient age and medication errors. Age was modeled using restricted cubic splines to allow for nonlinearity. RESULTS: Prescribing errors increased nonlinearly with patient age (P = .01), showing little association from ages 0 to 3 years and then increasing with age until around 10 years and remaining constant through the teenage years. Administration errors increased with patient age, with no association from 0 to around 8 years and then a steady rise with increasing age (P = .03). The association differed by route: linear for oral, no association for intravenous infusions, and U-shaped for intravenous injections. CONCLUSIONS: Older age is an unrecognized risk factor for medication error on general wards in pediatric hospitals. Contributors to risk may be the clinical profiles of these older children or the general level of attention paid to medication practices for this group. Further investigation may allow the design of more targeted interventions to reduce errors.

Developing a process to measure actual harm from medication errors in paediatric inpatients: From design to implementation.

AIMS: The potential harm associated with medication errors is widely reported, but data on actual harm are limited. When actual harm has been measured, assessment processes are often poorly described, limiting their ability to be reproduced by other studies. Our aim was to design and implement a new process to assess actual harm resulting from medication errors in paediatric inpatient care. METHODS: Prescribing errors were identified through retrospective medical record reviews (n = 26 369 orders) and medication administration errors through direct observation (n = 5137 administrations) in a tertiary paediatric hospital. All errors were assigned potential harm severity ratings on a 5-point scale. Multidisciplinary panels reviewed case studies for patients assigned the highest three potential severity ratings and determined the following: actual harm occurrence and severity level, plausibility of a link between the error(s) and identified harm(s) and a confidence rating if no harm had occurred. RESULTS: Multidisciplinary harm panels (n = 28) reviewed 566 case studies (173 prescribing related and 393 administration related) and found evidence of actual harm in 89 (prescribing = 22, administration = 67). Eight cases of serious harm cases were found (prescribing = 1, administration = 7) and no cases of severe harm. The panels were very confident in 65% of cases (n = 302) where no harm was found. Potential and actual harm ratings varied. CONCLUSIONS: This harm assessment process provides a systematic method for determining actual harm from medication errors. The multidisciplinary nature of the panels was critical in evaluating specific clinical, therapeutic and contextual considerations including care delivery pathways, therapeutic dose ranges and drug-drug and drug-disease interactions.

Factors affecting 12-month unplanned readmissions for chronic obstructive pulmonary disease patients: the effect of mental disorders in an Australian cohort.

BACKGROUND: Many individuals with chronic obstructive pulmonary disease (COPD) experience frequent hospitalization and readmissions, which is burdensome on the health system. This study aims to investigate factors associated with unplanned readmissions and mortality following a COPD-related hospitalization over a 12-month period in Australia, focusing on mental disorders and accounting for the acute phase of the COVID-19 pandemic. METHODS: A retrospective cohort study using linked hospitalization and mortality records identified individuals aged ≥40 years who had at least one hospital admission with a principal diagnosis of COPD between 2014 and 2020 in New South Wales, Australia. A semi-competing risk analysis was conducted to examine factors associated with unplanned readmission and mortality. RESULTS: Adults with a mental disorder diagnosis, specifically anxiety, had a higher risk of 12-month unplanned readmission. Individuals with anxiety and dementia also had a higher risk of mortality pre- and post-unplanned readmission. Individuals who were admitted during the acute phase of the COVID-19 pandemic period had lower risk of unplanned readmission, but higher risk of mortality without unplanned readmission. CONCLUSION: Interventions aimed at reducing admissions should consider adults living with mental disorders such as anxiety or dementia to improve healthcare delivery and health outcomes for individuals living with COPD.

Implementation of large, multi-site hospital interventions: a realist evaluation of strategies for developing capability.

BACKGROUND: This study presents guidelines for implementation distilled from the findings of a realist evaluation. The setting was local health districts in New South Wales, Australia that implemented three clinical improvement initiatives as part of a state-wide program. We focussed on implementation strategies designed to develop health professionals' capability to deliver value-based care initiatives for multisite programs. Capability, which increases implementers' ability to cope with unexpected scenarios is key to managing change. METHODS: We used a mixed methods realist evaluation which tested and refined program theories elucidating the complex dynamic between context (C), mechanism (M) and outcome (O) to determine what works, for whom, under what circumstances. Data was drawn from program documents, a realist synthesis, informal discussions with implementation designers, and interviews with 10 key informants (out of 37 identified) from seven sites. Data analysis employed a retroductive approach to interrogate the causal factors identified as contributors to outcomes. RESULTS: CMO statements were refined for four initial program theories: Making it Relevant- where participation in activities was increased when targeted to the needs of the staff; Investment in Quality Improvement- where engagement in capability development was enhanced when it was valued by all levels of the organisation; Turnover and Capability Loss- where the effects of staff turnover were mitigated; and Community-Wide Priority- where there was a strategy of spanning sites. From these data five guiding principles for implementers were distilled: (1) Involve all levels of the health system to effectively implement large-scale capability development, (2) Design capability development activities in a way that supports a learning culture, (3) Plan capability development activities with staff turnover in mind, (4) Increased capability should be distributed across teams to avoid bottlenecks in workflows and the risk of losing key staff, (5) Foster cross-site collaboration to focus effort, reduce variation in practice and promote greater cohesion in patient care. CONCLUSIONS: A key implementation strategy for interventions to standardise high quality practice is development of clinical capability. We illustrate how leadership support, attention to staff turnover patterns, and making activities relevant to current issues, can lead to an emergent learning culture.

Evaluation of a culture change program to reduce unprofessional behaviours by hospital co-workers in Australian hospitals.

BACKGROUND: Unprofessional behaviours between healthcare workers are highly prevalent. Evaluations of large-scale culture change programs are rare resulting in limited evidence of intervention effectiveness. We conducted a multi-method evaluation of a professional accountability and culture change program "Ethos" implemented across eight Australian hospitals. The Ethos program incorporates training for staff in speaking-up; an online system for reporting co-worker behaviours; and a tiered accountability pathway, including peer-messengers who deliver feedback to staff for 'reflection' or 'recognition'. Here we report the final evaluation component which aimed to measure changes in the prevalence of unprofessional behaviours before and after Ethos. METHODS: A survey of staff (clinical and non-clinical) experiences of 26 unprofessional behaviours across five hospitals at baseline before (2018) and 2.5-3 years after (2021/2022) Ethos implementation. Five of the 26 behaviours were classified as 'extreme' (e.g., assault) and 21 as incivility/bullying (e.g., being spoken to rudely). Our analysis assessed changes in four dimensions: work-related bullying; person-related bullying; physical bullying and sexual harassment. Change in experience of incivility/bullying was compared using multivariable ordinal logistic regression. Change in extreme behaviours was assessed using multivariable binary logistic regression. All models were adjusted for respondent characteristics. RESULTS: In total, 3975 surveys were completed. Staff reporting frequent incivility/bullying significantly declined from 41.7% (n = 1064; 95% CI 39.7,43.9) at baseline to 35.5% (n = 505; 95% CI 32.8,38.3; χ2(1) = 14.3; P < 0.001) post-Ethos. The odds of experiencing incivility/bullying declined by 24% (adjusted odds ratio [aOR] 0.76; 95% CI 0.66,0.87; P < 0.001) and odds of experiencing extreme behaviours by 32% (aOR 0.68; 95% CI 0.54,0.85; P < 0.001) following Ethos. All four dimensions showed a reduction of 32-41% in prevalence post-Ethos. Non-clinical staff reported the greatest decrease in their experience of unprofessional behaviour (aOR 0.41; 95% CI 0.29, 0.61). Staff attitudes and reported skills to speak-up were significantly more positive at follow-up. Awareness of the program was high (82.1%; 95% CI 80.0, 84.0%); 33% of respondents had sent or received an Ethos message. CONCLUSION: The Ethos program was associated with significant reductions in the prevalence of reported unprofessional behaviours and improved capacity of hospital staff to speak-up. These results add to evidence that staff will actively engage with a system that supports informal feedback to co-workers about their behaviours and is facilitated by trained peer messengers.

Co-worker unprofessional behaviour and patient safety risks: an analysis of co-worker reports across eight Australian hospitals.

A key component of professional accountability programmes is online reporting tools that allow hospital staff to report co-worker unprofessional behaviour. Few studies have analysed data from these systems to further understand the nature or impact of unprofessional behaviour amongst staff. Ethos is a whole-of-hospital professional accountability programme that includes an online messaging system. Ethos has now been implemented across multiple Australian hospitals. This study examined reported unprofessional behaviour that staff indicated created a risk to patient safety. This study included 1310 Ethos submissions reporting co-worker unprofessional behaviour between 2017 and 2020 across eight Australian hospitals. Submissions that indicated the behaviour increased the risk to patient safety were identified. Descriptive summary statistics were presented for reporters and subjects of submissions about unprofessional behaviour. Logistic regression was applied to examine the association between each unprofessional behaviour (of the six most frequently reported in the Ethos submissions) and patient safety risk reported in the submissions. The descriptions in the reports were reviewed and the patient safety risks were coded using a framework aligned with the World Health Organization's International Classification for Patient Safety. Of 1310 submissions about unprofessional behaviour, 395 (30.2%) indicated that there was a risk to patient safety. Nurses made the highest number of submissions that included a patient safety risk [3.47 submissions per 100 nursing staff, 95% confidence interval (CI): 3.09-3.9] compared to other professional groups. Medical professionals had the highest rate as subjects of submissions for unprofessional behaviour with a patient safety risk (5.19 submissions per 100 medical staff, 95% CI: 4.44-6.05). 'Opinions being ignored' (odds ratio: 1.68; 95% CI: 1.23-2.22; P < .001) and 'someone withholding information which affects work performance' were behaviours strongly associated with patient safety risk in the submissions (odds ratio: 2.50; 95% CI: 1.73-3.62; P < .001) compared to submissions without a patient safety risk. The two main types of risks to patient safety described were related to clinical process/procedure and clinical administration. Commonly reported events included staff not following policy or protocol; doctors refusing to review a patient; and interruptions and inadequate information during handover. Our findings indicate that unprofessional behaviour was associated with risks to patient safety. Co-worker reports about unprofessional behaviour have significant value as they can be used by organizations to better understand how unprofessional behaviour can disrupt work practices and lead to risks to patient safety.

Interventions to address unprofessional behaviours between staff in acute care: what works for whom and why? A realist review.

BACKGROUND: Unprofessional behaviour (UB) between staff encompasses various behaviours, including incivility, microaggressions, harassment, and bullying. UB is pervasive in acute healthcare settings and disproportionately impacts minoritised staff. UB has detrimental effects on staff wellbeing, patient safety and organisational resources. While interventions have been implemented to mitigate UB, there is limited understanding of how and why they may work and for whom. METHODS: This study utilised a realist review methodology with stakeholder input to improve understanding of these complex context-dependent interventions. Initial programme theories were formulated drawing upon scoping searches and reports known to the study team. Purposive systematic searches were conducted to gather grey and published global literature from databases. Documents were selected if relevant to UB in acute care settings while considering rigour and relevance. Data were extracted from these reports, synthesised, and initial theories tested, to produce refined programme theories. RESULTS: Of 2977 deduplicated records, 148 full text reports were included with 42 reports describing interventions to address UB in acute healthcare settings. Interventions drew on 13 types of behaviour change strategies and were categorised into five types of intervention (1) single session (i.e. one off); (2) multiple session; (3) single or multiple sessions combined with other actions (e.g. training sessions plus a code of conduct); (4) professional accountability and reporting programmes and; (5) structured culture change interventions. We formulated 55 context-mechanism-outcome configurations to explain how, why, and when these interventions work. We identified twelve key dynamics to consider in intervention design, including importance of addressing systemic contributors, rebuilding trust in managers, and promoting a psychologically safe culture; fifteen implementation principles were identified to address these dynamics. CONCLUSIONS: Interventions to address UB are still at an early stage of development, and their effectiveness to reduce UB and improve patient safety is unclear. Future interventions should incorporate knowledge from behavioural and implementation science to affect behaviour change; draw on multiple concurrent strategies to address systemic contributors to UB; and consider the undue burden of UB on minoritised groups. STUDY REGISTRATION: This study was registered on the international database of prospectively registered systematic reviews in health and social care (PROSPERO): https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021255490 .

Medication use and hospital-acquired acute kidney injury: an electronic health record-based study.

BACKGROUND AND AIMS: Medications remain an important contributor to the development of acute kidney injury (AKI). This study aimed to examine associations between (i) administration of medications known to reduce glomerular filtration rate (GFR), that is, GFR modifiers and subsequent hospital-acquired AKI; and (ii) potentially medication-related AKI and patient adverse outcomes. METHODS: A retrospective cohort study utilising electronic health record data of patients admitted to a tertiary hospital in Australia in 2015. Timing of medication administration was compared with timing of AKI development. AKI cases were identified using an algorithm based on serum creatinine level changes. Multilevel regression models were applied with adjustment for relevant demographic and clinical factors. RESULTS: Among 11 503 admissions, AKI was identified in 955 patients (8.3%) and 637 (66.7% of 955) were preceded by administration of a GFR modifier. Patients without prior AKI were 17% more likely to develop AKI after administration of these medications (adjusted odds ratio 1.17, 95% confidence interval (CI) 1.003-1.37). Older age and comorbidity with diabetes, acute myocardial infarction, peripheral vascular disease, liver cirrhosis and multiple myeloma were also significant predictors. Patients with potentially medication-related AKI were 11.69 times more likely to die in hospital (95% CI 7.84-17.43) and stayed 3.49 times longer in hospital (95% CI 3.26-3.73), compared with those without AKI. CONCLUSIONS: Administration of medications contributing to the reduction of GFR is associated with an increased risk of hospital-acquired AKI and worse patient outcomes. Caution is required when prescribing these medications to patients at risk of developing AKI, and monitoring patients for deterioration is needed if administered.

The relationship between fall incidents and place of birth in residential aged care facilities: a retrospective longitudinal cohort study.

BACKGROUND: Older populations in residential aged care facilities (RACFs) in many immigrant-receiving countries are now being increasingly culturally and linguistically diverse (CALD). CALD populations require tailored social and health services to support their needs and improve health outcomes. Falls among the elderly are common and can have significant health and psychosocial consequences. There is some evidence to suggest that country of birth may influence risk of falls among older people, but such evidence has been scarce. This study aimed to determine the association between place of birth and the incidence of falls in RACFs. METHODS: Routinely collected incident data relating to 5,628 residents aged ≥ 65 years in 25 RACFs in Sydney, New South Wales, Australia were used. RACF residents were classified into two groups, Australia-born (N = 4,086) and overseas-born (N = 1,542). Overseas-born RACF residents were further categorised into two subgroups: overseas-English-speaking-country (N = 743) and overseas-non-English-speaking-country (N = 799). Outcomes measures were rate of all falls, injurious falls and falls requiring hospitalisation. Multilevel binary negative regression was used to examine the relationship between fall risk and place of birth. RESULTS: Incidence rates of all falls, injurious falls and falls requiring hospitalisation were 8.62, 3.72 and 1.07 incidents per 1,000 resident days, respectively, among the Australia-born RACF residents, but were higher at 11.02, 4.13 and 1.65, respectively, among the overseas-born RACF residents. Within those born overseas, fall rates were higher among the overseas-non-English-speaking-country-born residents (11.32, 4.29 and 2.22, respectively) than those overseas-English-speaking-country-born (10.70, 3.96 and 1.05, respectively). After controlling for confounders, the overseas-born RACF residents overall experienced a higher risk of all three types of falls (incidence rate ratios: [IRR] = 1.278, 95% confidence interval [CI] = 1.131, 1.443; injurious falls: IRR = 1.164 [95% CI = 1.013, 1.338]; falls requiring hospitalisation: IRR = 1.460 [95% CI = 1.199, 1.777]) than the Australia-born RACF residents. Among the overseas-born RACF residents, males, respite residents and those overseas-non-English-speaking-country-born experienced higher rates of falls. CONCLUSIONS: Fall incidence in RACFs varies significantly by place of birth. With increasingly diverse RACF populations, fall intervention and prevention programs should consider cultural and linguistical backgrounds of RACF residents. Greater attention to understand the mechanisms for the differences by place of birth in risk profiles is warranted.

Drivers of unprofessional behaviour between staff in acute care hospitals: a realist review.

BACKGROUND: Unprofessional behaviours (UB) between healthcare staff are rife in global healthcare systems, negatively impacting staff wellbeing, patient safety and care quality. Drivers of UBs include organisational, situational, team, and leadership issues which interact in complex ways. An improved understanding of these factors and their interactions would enable future interventions to better target these drivers of UB. METHODS: A realist review following RAMESES guidelines was undertaken with stakeholder input. Initial theories were formulated drawing on reports known to the study team and scoping searches. A systematic search of databases including Embase, CINAHL, MEDLINE and HMIC was performed to identify literature for theory refinement. Data were extracted from these reports, synthesised, and initial theories tested, to produce refined programme theories. RESULTS: We included 81 reports (papers) from 2,977 deduplicated records of grey and academic reports, and 28 via Google, stakeholders, and team members, yielding a total of 109 reports. Five categories of contributor were formulated: (1) workplace disempowerment; (2) harmful workplace processes and cultures; (3) inhibited social cohesion; (4) reduced ability to speak up; and (5) lack of manager awareness and urgency. These resulted in direct increases to UB, reduced ability of staff to cope, and reduced ability to report, challenge or address UB. Twenty-three theories were developed to explain how these contributors work and interact, and how their outcomes differ across diverse staff groups. Staff most at risk of UB include women, new staff, staff with disabilities, and staff from minoritised groups. UB negatively impacted patient safety by impairing concentration, communication, ability to learn, confidence, and interpersonal trust. CONCLUSION: Existing research has focused primarily on individual characteristics, but these are inconsistent, difficult to address, and can be used to deflect organisational responsibility. We present a comprehensive programme theory furthering understanding of contributors to UB, how they work and why, how they interact, whom they affect, and how patient safety is impacted. More research is needed to understand how and why minoritised staff are disproportionately affected by UB. STUDY REGISTRATION: This study was registered on the international database of prospectively registered systematic reviews in health and social care (PROSPERO): https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021255490 .

Changes in unprofessional behaviour, teamwork and co-operation among hospital staff during the COVID-19 pandemic.

A survey administered to staff at five hospitals investigated changes in unprofessional behaviour, teamwork and co-operation during the COVID-19 pandemic. From 1583 responses, 76.1% (95% confidence interval (CI): 74.0-78.2%) reported no change or a decrease in unprofessional behaviours. Across all professional groups, 43.6% (n = 579, 95% CI: 41.0-46.3%) reported improvements in teamwork and co-operation. Findings suggest that intensifying work demands, such as those resulting from the pandemic, are not a major trigger for unprofessional behaviour, and root causes lie elsewhere.

The use and predictive performance of the Peninsula Health Falls Risk Assessment Tool (PH-FRAT) in 25 residential aged care facilities: a retrospective cohort study using routinely collected data.

BACKGROUND: The Peninsula Health Falls Risk Assessment Tool (PH-FRAT) is a validated and widely applied tool in residential aged care facilities (RACFs) in Australia. However, research regarding its use and predictive performance is limited. This study aimed to determine the use and performance of PH-FRAT in predicting falls in RACF residents. METHODS: A retrospective cohort study using routinely-collected data from 25 RACFs in metropolitan Sydney, Australia from Jul 2014-Dec 2019. A total of 5888 residents aged ≥65 years who were assessed at least once using the PH-FRAT were included in the study. The PH-FRAT risk score ranges from 5 to 20 with a score > 14 indicating fallers and ≤ 14 non-fallers. The predictive performance of PH-FRAT was determined using metrics including area under receiver operating characteristics curve (AUROC), sensitivity, specificity, sensitivityEvent Rate(ER) and specificityER. RESULTS: A total of 27,696 falls were reported over 3,689,561 resident days (a crude incident rate of 7.5 falls /1000 resident days). A total of 38,931 PH-FRAT assessments were conducted with a median of 4 assessments per resident, a median of 43.8 days between assessments, and an overall median fall risk score of 14. Residents with multiple assessments had increased risk scores over time. The baseline PH-FRAT demonstrated a low AUROC of 0.57, sensitivity of 26.0% (sensitivityER 33.6%) and specificity of 88.8% (specificityER 82.0%). The follow-up PH-FRAT assessments increased sensitivityER values although the specificityER decreased. The performance of PH-FRAT improved using a lower risk score cut-off of 10 with AUROC of 0.61, sensitivity of 67.5% (sensitivityER 74.4%) and specificity of 55.2% (specificityER 45.6%). CONCLUSIONS: Although PH-FRAT is frequently used in RACFs, it demonstrated poor predictive performance raising concerns about its value. Introducing a lower PH-FRAT cut-off score of 10 marginally enhanced its predictive performance. Future research should focus on understanding the feasibility and accuracy of dynamic fall risk predictive tools, which may serve to better identify residents at risk of falls.

Epidemiology of falls in 25 Australian residential aged care facilities: a retrospective longitudinal cohort study using routinely collected data.

BACKGROUND: Falls are frequent among older adults and have significant health and economic consequences. There have been few studies on the epidemiology of falls in residential aged care facilities (RACFs). OBJECTIVE: To determine the incidence of falls in RACFs using longitudinal routinely collected incident data over 5 years (July 2014-December 2019). METHODS: A retrospective cohort study is conducted using fall incident data from 25 RACFs in Sydney, NSW, Australia. Incidents relating to a population of 6163 aged care residents aged ≥65 years were included. Outcome measures were incidents of all falls, injurious falls and falls requiring hospitalization. The risk-adjusted incidence rate (IR) for each outcome indicator for each of the 25 facilities was calculated. RESULTS: A total of 27 878 falls were reported over 3 906 772 resident days (a crude rate of 7.14 incidents per 1000 resident days; 95% confidence interval (CI) 6.81-7.48). Of these, 10 365 (37.2%) were injurious and 2733 (9.8%) required hospitalization. The crude IRs were 2.65 incidents per 1000 resident days (95% CI 2.53-2.78) for injurious falls and 0.70 incidents per 1000 resident days (95% CI 0.66-0.74) for falls requiring hospitalization. The incidence of falls was significantly higher in respite compared to permanent residents for all falls (adjusted IR ratio (aIRR) 1.33; 95% CI 1.18-1.51) and injurious falls (aIRR 1.30; 95% CI 1.14-1.48) and for men compared to women for all outcomes (all falls aIRR 1.69; 95% CI 1.54-1.86; injurious falls aIRR 1.87; 95% CI 1.71-2.04 and falls requiring hospitalization aIRR 1.29; 95% CI 1.12-1.48). The risk-adjusted IRs per 1000 resident days between facilities varied substantially (all falls 0.57-12.93 falls; injurious falls 0.25-4.47 and falls requiring hospitalization 0.10-1.70). CONCLUSION: Falls are frequent in RACFs, often resulting in injury and hospitalization. The study provides robust and comprehensive information that may help inform future initiatives to minimize the incidence of falls in RACFs.

Comparison of the quick Sepsis-related Organ Failure Assessment and adult sepsis pathway in predicting adverse outcomes among adult patients in general wards: a retrospective observational cohort study.

BACKGROUND: Quick Sepsis-related Organ Failure Assessment (qSOFA) is recommended for use by the most recent international sepsis definition taskforce to identify suspected sepsis in patients outside the intensive care unit (ICU) at risk of adverse outcomes. Evidence of its comparative effectiveness with existing sepsis recognition tools is important to guide decisions about its widespread implementation. AIM: To compare the performance of qSOFA with the adult sepsis pathway (ASP), a current sepsis recognition tool widely used in NSW hospitals and systemic inflammatory response syndrome criteria in predicting adverse outcomes in adult patients on general wards. METHODS: A retrospective observational cohort study was conducted which included all adults with suspected infections admitted to a Sydney teaching hospital between December 2014 and June 2016. The primary outcome was in-hospital mortality with two secondary composite outcomes. RESULTS: Among 2940 patients with suspected infection, 217 (7.38%) died in-hospital and 702 (23.88%) were subsequently admitted to ICU. The ASP showed the greatest ability to correctly discriminate in-hospital mortality and secondary outcomes. The area under the receiver-operating characteristic curve for mortality was 0.76 (95% confidence interval (CI): 0.74-0.78), compared to 0.64 for the qSOFA tool (95% CI: 0.61-0.67, P < 0.0001). Median time from the first ASP sepsis warning to death was 8.21 days (interquartile range (IQR): 2.29-16.75) while it was 0 days for qSOFA (IQR: 0-2.58). CONCLUSIONS: The ASP demonstrated both greater prognostic accuracy and earlier warning for in-hospital mortality for adults on hospital wards compared to qSOFA. Hospitals already using ASP may not benefit from switching to the qSOFA tool.

Quality of life measurement in community-based aged care - understanding variation between clients and between care service providers.

BACKGROUND: Measuring person-centred outcomes and using this information to improve service delivery is a challenge for many care providers. We aimed to identify predictors of QoL among older adults receiving community-based aged care services and examine variation across different community care service outlets. METHODS: A retrospective sample of 1141 Australians aged ≥60 years receiving community-based care services from a large service provider within 19 service outlets. Clients' QoL was captured using the ICEpop CAPability Index. QoL scores and predictors of QoL (i.e. sociodemographic, social participation and service use) were extracted from clients' electronic records and examined using multivariable regression. Funnel plots were used to examine variation in risk-adjusted QoL scores across service outlets. RESULTS: Mean age was 81.5 years (SD = 8) and 75.5% were women. Clients had a mean QoL score of 0.81 (range 0-1, SD = 0.15). After accounting for other factors, being older (p < 0.01), having lower-level care needs (p < 0.01), receiving services which met needs for assistance with activities of daily living (p < 0.01), and having higher levels of social participation (p < 0.001) were associated with higher QoL scores. Of the 19 service outlets, 21% (n = 4) had lower mean risk-adjusted QoL scores than expected (< 95% control limits) and 16% (n = 3) had higher mean scores than expected. CONCLUSION: Using QoL as an indicator to compare care quality may be feasible, with appropriate risk adjustment. Implementing QoL tools allows providers to measure and monitor their performance and service outcomes, as well as identify clients with poor quality of life who may need extra support. TRIAL REGISTRATION: Australian and New Zealand clinical trial registry number: ACTRN12617001212347 . Registered 18/08/2017.

A mixed-methods study evaluating the impact of an excursion-based social group on quality of life of older adults.

BACKGROUND: Social isolation is an increasing concern for older adults who live in the community. Despite some availability of social support programs to address social isolation, their effectiveness is not routinely measured. This study aimed to evaluate an innovative excursion-based program offering unique social experiences to older adults receiving aged care services. METHODS: This six-month before and after mixed-methods study evaluated the outcomes of an Australian excursion-based program which offered social and physical outings to bring older adults receiving aged care services into the wider community. The study combined two parts: Part 1 was a pre-post survey assessing the quality of life of older adults who received the excursion-based program for 6 months (n = 56; two time-points, analysed using signed rank test) and Part 2 involved qualitative in-depth, semi-structured interviews (n = 24 aged care staff, older adults and carers; analysed using thematic analysis). RESULTS: Older adults experienced a significant increase in quality of life scores (p < 0.001) between baseline and 6 months. Interviews confirmed these observations and suggested that benefits of participation included increased opportunities for social participation, psychological wellbeing, physical function, and carer respite. Interviews also revealed being in a group setting, having tailored, convenient and accessible activities, alongside supportive staff were key drivers in improving the wellbeing of participants. CONCLUSIONS: Participating in an excursion-based community program may improve wellbeing in older adults. Aging policy should focus on prioritizing initiatives that promote social connectivity with the wider community and assist in improving outcomes for older adults.

A national survey on COVID-19 second-wave lockdowns on older adults' mental wellbeing, health-seeking behaviours and social outcomes across Australia.

BACKGROUND: The impact of severe second lockdown measures on older adults' wellbeing is unknown. We aimed to (i) identify the impact of the second lockdown that resulted from the second wave of COVID-19 cases on older Australians' quality of life; (ii) compare the impact of second wave lockdowns in Victoria, Australia's second most populous State, to those in other States and Territories not in lockdown. METHODS: A national cross-sectional study of community-dwelling older adults completed online questionnaires for quality of life, social networks, healthcare access, and perceived impact of COVID-19 between July to September 2020. Tobit regression was used to measure the relationships of healthcare service access and social networks with quality of life of older adults in Victoria compared to those in the rest of Australia. RESULTS: A total of 2,990 respondents (mean [SD] age, 67.3 [7.0]; 66.8 % female) participated. At time of data collection, Victoria's second COVID-19 lockdown had been in force for an average 51.7 days. Median quality of life scores were significantly higher in Victoria compared to the rest of Australia (t2,827=2.25 p = 0.025). Being female (95 % CI, -0.051-0.020), having lower educational attainment (95 % CI, -0.089--0.018), receiving government benefits (95 % CI, -0.054--0.024), having small social networks (95 % CI, 0.006-0.009) and self-reported physical chronic health conditions were all independent predictors of lower quality of life. CONCLUSIONS: Longer-term studies are required to provide more robust evidence of the impact as restrictions lift and normal social conventions return.

Are operating room distractions, interruptions and disruptions associated with performance and patient safety? A systematic review and meta-analysis.

OBJECTIVE: The operating room is a complex environment in which distractions, interruptions and disruptions (DIDs) are frequent. Our aim was to synthesize research on the relationships between DIDs and (i) operative duration, (ii) team performance, (iii) individual performance and (iv) patient safety outcomes in order to better understand how interventions can be designed to mitigate the negative effects of DIDs. METHODS: Electronic databases (MEDLINE, Embase, CINAHL and PsycINFO) and reference lists were systematically searched. Included studies were required to report the quantitative outcomes of the association between DIDs and team performance, individual performance and patient safety. Two reviewers independently screened articles for inclusion, assessed study quality and extracted data. A random-effects meta-analysis was performed on a subset of studies reporting total operative time and DIDs. RESULTS: Twenty-seven studies were identified. The majority were prospective observational studies (n = 15) of moderate quality. DIDs were often defined, measured and interpreted differently in studies. DIDs were significantly associated with extended operative duration (n = 8), impaired team performance (n = 6), self-reported errors by colleagues (n = 1), surgical errors (n = 1), increased risk and incidence of surgical site infection (n = 4) and fewer patient safety checks (n = 1). A random-effects meta-analysis showed that the proportion of total operative time due to DIDs was 22.0% (95% confidence interval 15.7-29.9). CONCLUSION: DIDs in surgery are associated with a range of negative outcomes. However, significant knowledge gaps exist about the mechanisms that underlie these relationships, as well as the potential clinical and non-clinical benefits that DIDs may deliver. Available evidence indicates that interventions to reduce the negative effects of DIDs are warranted, but current evidence is not sufficient to make recommendations about potentially useful interventions.

Evaluation of the accuracy of diagnostic coding for influenza compared to laboratory results: the availability of test results before hospital discharge facilitates improved coding accuracy.

BACKGROUND: Assessing the accuracy of diagnostic coding is essential to ensure the validity and reliability of administrative coded data. The aim of the study was to evaluate the accuracy of assigned International Classification of Diseases version 10-Australian Modification (ICD-10-AM) codes for influenza by comparing with patients' results of their polymerase chain reaction (PCR)-based laboratory tests. METHOD: A retrospective study was conducted across seven public hospitals in New South Wales, Australia. A total of 16,439 patients who were admitted and tested by either cartridge-based rapid PCR or batched multiplex PCR between January 2016 and December 2017 met the inclusion criteria. We calculated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of ICD-10-AM coding using laboratory results as a gold standard. Separate analyses were conducted to determine whether the availability of test results at the time of hospital discharge influenced diagnostic coding accuracy. RESULTS: Laboratory results revealed 2759 positive influenza cases, while ICD-10-AM coding identified 2527 patients. Overall, 13.7% (n = 378) of test positive patients were not assigned an ICD-10-AM code for influenza. A further 5.8% (n = 146) patients with negative test results were incorrectly assigned an ICD-10-AM code for influenza. The sensitivity, specificity, PPV and NPV of ICD-10-AM coding were 93.1%; 98.9%; 94.5% and 98.6% respectively when test results were received before discharge and 32.7%; 99.2%; 87.8% and 89.8% respectively when test results were not available at discharge. The sensitivity of ICD-10-AM coding varied significantly across hospitals. The use of rapid PCR or hospitalisation during the influenza season were associated with greater coding accuracy. CONCLUSION: Although ICD-10-AM coding for influenza demonstrated high accuracy when laboratory results were received before discharge, its sensitivity was substantially lower for patients whose test results were not available at discharge. The timely availability of laboratory test results during the episode of care could contribute to improved coding accuracy.

Measuring the prevalence of 60 health conditions in older Australians in residential aged care with electronic health records: a retrospective dynamic cohort study.

BACKGROUND: The number of older Australians using aged care services is increasing, yet there is an absence of reliable data on their health. Multimorbidity in this population has not been well described. A clear picture of the health status of people using aged care is essential for informing health practice and policy to support evidence-based, equitable, high-quality care. Our objective was to describe the health status of older Australians living in residential aged care facilities (RACFs) and develop a model for monitoring health conditions using data from electronic health record systems. METHODS: Using a dynamic retrospective cohort of 9436 RACF residents living in 68 RACFs in New South Wales and the Australian Capital Territory from 2014 to 2017, we developed an algorithm to identify residents' conditions using aged care funding assessments, medications administered, and clinical notes from their facility electronic health record (EHR). We generated age- and sex-specific prevalence estimates for 60 health conditions. Agreement between conditions recorded in aged care funding assessments and those documented in residents' EHRs was evaluated using Cohen's kappa. Cluster analysis was used to describe combinations of health conditions (multimorbidity) occurring among residents. RESULTS: Using all data sources, 93% of residents had some form of circulatory disease, with hypertension the most common (62%). Most residents (93%) had a mental or behavioural disorder, including dementia (58%) or depression (54%). For most conditions, EHR data identified approximately twice the number of people with the condition compared to aged care funding assessments. Agreement between data sources was highest for multiple sclerosis, Huntington's disease, and dementia. The cluster analysis identified seven groups with distinct combinations of health conditions and demographic characteristics and found that the most complex cluster represented a group of residents that had on average the longest lengths of stay in residential care. CONCLUSIONS: The prevalence of many health conditions among RACF residents in Australia is underestimated in previous reports. Aged care EHR data have the potential to be used to better understand the complex health needs of this vulnerable population and can help fill the information gaps needed for population health surveillance and quality monitoring.