Cost-effectiveness analysis of microwave ablation versus robot-assisted partial nephrectomy for patients with small renal masses in Australia.

OBJECTIVES: Microwave ablation (MWA) has gained attention as a minimally invasive and safe alternative to surgical intervention for patients with small renal masses; however, its cost-effectiveness in Australia remains unclear. This study conducted a cost-effectiveness analysis to evaluate the relative clinical and economic merits of MWA compared to robotic-assisted partial nephrectomy (RA-PN) in the treatment of small renal masses. METHODS: A Markov state-transition model was constructed to simulate the progression of Australian patients with small renal masses treated with MWA versus RA-PN over a 10-year horizon. Transition probabilities and utility data were sourced from comprehensive literature reviews, and cost data were estimated from the Australian health system perspective. Life-years, quality-adjusted life-years (QALYs), and lifetime costs were estimated. Modelled uncertainty was assessed using both deterministic and probabilistic sensitivity analyses. A willingness-to-pay (WTP) threshold of $50,000 per QALY was adopted. All costs are expressed in 2022 Australian dollars and discounted at 3% annually. To assess the broader applicability of our findings, a validated cost-adaptation method was employed to extend the analysis to 8 other high-income countries. RESULTS: Both the base case and cost-adaptation analyses revealed that MWA dominated RA-PN, producing both lower costs and greater effectiveness over 10 years. The cost-effectiveness outcome was robust across all model parameters. Probabilistic sensitivity analyses confirmed that MWA was dominant in 98.3% of simulations at the designated WTP threshold, underscoring the reliability of the model under varying assumptions. CONCLUSION: For patients with small renal masses in Australia and comparable healthcare settings, MWA is the preferred strategy to maximize health benefits per dollar, making it a highly cost-effective alternative to RA-PN.

An Australian Community-Based Metabolic Dysfunction-Associated Steatotic Liver Disease Care Pathway for People with Type 2 Diabetes: Barriers and Considerations.

Background: Although clinical guidelines endorse screening for metabolic dysfunction-associated steatotic liver disease (MASLD) with advanced fibrosis in people with type 2 diabetes (T2D), the feasibility of and barriers and considerations relevant to implementing this approach in the community remain unclear. Methods: Sequential adults with T2D attending selected community clinics during 2021-2023 were invited to receive a "liver health check" (n=543). A further 95 participants were referred directly from their general practitioner (GP) or self-referred to the study. A total of 302 participants underwent a point of care assessment of hepatic steatosis and stiffness (FibroScan) and were advised to see their GP to discuss the results. "Template" letters containing key results, their interpretation and advice about management of cardiometabolic risk, patient follow-up and referral criteria, were sent to participants' GPs. Results: Referral to a tertiary liver clinic was advised in GP letters for 45 (15%) participants with an increased risk of clinically significant fibrosis (liver stiffness measurement ≥8), 15 participants with 'red flags' (eg splenomegaly, thrombocytopenia) and 2 with unsuccessful FibroScan examinations. A referral from GPs to the liver clinic was received for 27 (44%) of these 62 participants. Approximately 90% of GPs rated the "template" letters favourably on a Likert rating scale. Conclusion: The low rate of participation in the "liver health check" and liver clinic referral reflects a real-world scenario and may stem from societal under-recognition and engagement with MASLD, competing health priorities or under-appreciation of the link between liver fibrosis severity and mortality risk. Further studies need to address strategies to enhance participation in liver health assessments and determine their impact on liver-related morbidity/mortality and overall survival.

Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care.

BACKGROUND: Successful deployment of clinical prediction models for clinical deterioration relates not only to predictive performance but to integration into the decision making process. Models may demonstrate good discrimination and calibration, but fail to match the needs of practising acute care clinicians who receive, interpret, and act upon model outputs or alerts. We sought to understand how prediction models for clinical deterioration, also known as early warning scores (EWS), influence the decision-making of clinicians who regularly use them and elicit their perspectives on model design to guide future deterioration model development and implementation. METHODS: Nurses and doctors who regularly receive or respond to EWS alerts in two digital metropolitan hospitals were interviewed for up to one hour between February 2022 and March 2023 using semi-structured formats. We grouped interview data into sub-themes and then into general themes using reflexive thematic analysis. Themes were then mapped to a model of clinical decision making using deductive framework mapping to develop a set of practical recommendations for future deterioration model development and deployment. RESULTS: Fifteen nurses (n = 8) and doctors (n = 7) were interviewed for a mean duration of 42 min. Participants emphasised the importance of using predictive tools for supporting rather than supplanting critical thinking, avoiding over-protocolising care, incorporating important contextual information and focusing on how clinicians generate, test, and select diagnostic hypotheses when managing deteriorating patients. These themes were incorporated into a conceptual model which informed recommendations that clinical deterioration prediction models demonstrate transparency and interactivity, generate outputs tailored to the tasks and responsibilities of end-users, avoid priming clinicians with potential diagnoses before patients were physically assessed, and support the process of deciding upon subsequent management. CONCLUSIONS: Prediction models for deteriorating inpatients may be more impactful if they are designed in accordance with the decision-making processes of acute care clinicians. Models should produce actionable outputs that assist with, rather than supplant, critical thinking.

A scoping review of fall-risk screening tools in the Emergency Department for future falls in older adults.

Background Approximately one third of adults over the age of 65 experience falls annually, with half resulting in injury. Peak bodies have recommended the use of fall-risk screening tools in the emergency department (ED) to identify patients requiring in-depth assessment and potential fall-prevention intervention. This study aimed to examine the scope of published studies on fall-risk screening tools used in the ED, and evidence of associations between screening and future falls. Summary PubMed, Embase and CINAHL were searched for peer-reviewed journal articles published since 2012 that examined one or more screening tools to identify patient-level fall risk. Eligible studies described fall-risk tools applied in the ED. Data extracted included sample information, variables measured and statistical analysis. Sixteen studies published since 2012 were included after full-text review. Fourteen unique screening tools were found. Eight tools were fall-risk screening tools, one tool was a functional screening tool, one tool was a frailty screening tool, two tools were rapid physical tests, one tool was a trauma triage tool, and one tool was a component of a health-related quality of life measure. Studies that evaluated prognostic performance (n = 11) generally reported sensitivity higher than specificity. Previous falls (n = 10) and high-risk medications (n = 6) were consistently associated with future falls. Augmentation with additional variables from the electronic medical record (EMR) improved screening tool prognostic performance in one study. Key Messages Current evidence on the association between the use of fall-risk screening tools in the ED for future falls consistently identifies previous falls and high-risk medications as associated with future falls. Comparison between tools is difficult due to different evaluation methods and different covariates measured. Augmentation of fall-risk screening using the EMR in the ED requires further investigation.

Preferences for Neurodevelopmental Follow-Up Care for Children: A Discrete Choice Experiment.

INTRODUCTION: Identifying and addressing neurodevelopmental delays in children can be challenging for families and the healthcare system. Delays in accessing services and early interventions are common. The design and delivery of these services, and associated outcomes for children, may be improved if service provision aligns with families' needs and preferences for receiving care. The aim of this study is to identify families' preferences for neurodevelopmental follow-up care for children using an established methodology. METHODS: We used a discrete choice experiment (DCE) to elicit families' preferences. We collected data from families and caregivers of children with neurodevelopmental needs. The DCE process included four stages. In stage 1, we identified attributes and levels to be included in the DCE using literature review, interviews, and expert advice. The finalised attributes were location, mode of follow-up, out-of-pocket cost per visit, mental health counselling for parents, receiving educational information, managing appointments, and waiting time. In stage 2, we generated choice tasks that contained two alternatives and a 'neither' option for respondents to choose from, using a Bayesian d-efficient design. These choice tasks were compiled in a survey that also included demographic questions. We conducted pre- and pilot tests to ensure the functionality of the survey and obtain priors. In stage 3, the DCE survey was administered online. We received 301 responses. In stage 4, the analysis was conducted using a latent class model. Additionally, we estimated the relative importance of attributes and performed a scenario analysis. RESULTS: Two latent classes were observed. More families with full-time employees, higher incomes, postgraduate degrees, and those living in metropolitan areas were in class 1 compared with class 2. Class 1 families preferred accessing local public health clinics, face-to-face follow-up, paying AUD100 to AUD500, mental health support, group educational activities, health service-initiated appointments, and waiting < 3 months. Class 2 families disliked city hospitals when compared with private, preferred paying AUD100 or no cost, and had similar preferences regarding mental health support and wait times as class 1. However, no significant differences were noted in follow-up modality, receiving educational information, and appointment management. The relative importance estimation suggested that location was most important for class 1 (28%), whereas for class 2, cost accounted for nearly half of the importance when selecting an alternative. The expected uptake of follow-up care, estimated under three different hypothetical scenarios, may increase by approximately 24% for class 2 if an 'ideal' scenario taking into account preferences was implemented. CONCLUSION: This study offers insights into aspects that may be prioritised by health services and policymakers to improve the design and delivery of neurodevelopmental follow-up care for children. The findings may enhance the organisation and functioning of existing care programmes; and therefore, improve the long-term outcomes of children with neurodevelopmental needs and their families.

Prioritising deteriorating patients using time-to-event analysis: prediction model development and internal-external validation.

BACKGROUND: Binary classification models are frequently used to predict clinical deterioration, however they ignore information on the timing of events. An alternative is to apply time-to-event models, augmenting clinical workflows by ranking patients by predicted risks. This study examines how and why time-to-event modelling of vital signs data can help prioritise deterioration assessments using lift curves, and develops a prediction model to stratify acute care inpatients by risk of clinical deterioration. METHODS: We developed and validated a Cox regression for time to in-hospital mortality. The model used time-varying covariates to estimate the risk of clinical deterioration. Adult inpatient medical records from 5 Australian hospitals between 1 January 2019 and 31 December 2020 were used for model development and validation. Model discrimination and calibration were assessed using internal-external cross validation. A discrete-time logistic regression model predicting death within 24 h with the same covariates was used as a comparator to the Cox regression model to estimate differences in predictive performance between the binary and time-to-event outcome modelling approaches. RESULTS: Our data contained 150,342 admissions and 1016 deaths. Model discrimination was higher for Cox regression than for discrete-time logistic regression, with cross-validated AUCs of 0.96 and 0.93, respectively, for mortality predictions within 24 h, declining to 0.93 and 0.88, respectively, for mortality predictions within 1 week. Calibration plots showed that calibration varied by hospital, but this can be mitigated by ranking patients by predicted risks. CONCLUSION: Time-varying covariate Cox models can be powerful tools for triaging patients, which may lead to more efficient and effective care in time-poor environments when the times between observations are highly variable.

"It's more than just a conversation about the heart": exploring barriers, enablers, and opportunities for improving the delivery and uptake of cardiac neurodevelopmental follow-up care.

Introduction: Surveillance, screening, and evaluation for neurodevelopmental delays is a pivotal component of post-surgical care for children with congenital heart disease (CHD). However, challenges exist in implementing such neurodevelopmental follow-up care in international practice. This study aimed to characterise key barriers, enablers, and opportunities for implementing and delivering outpatient cardiac neurodevelopmental follow-up care in Australia. Methods: an exploratory descriptive qualitative study was conducted with healthcare professionals across Australia who had lived experience of designing, implementing, or delivering neurodevelopmental care for children with CHD. Online semi-structured interviews were conducted using a guide informed by the Consolidated Framework for Implementation Research to explore contextual influences. Interview transcripts were analysed using a rapid qualitative approach including templated summaries and hybrid deductive-inductive matrix analysis. Results: fifty-two participants were interviewed. Perceived barriers and enablers were organised into six higher-order themes: factors in the broader environmental, economic, and political context; healthcare system factors; organisational-level factors; provider factors; patient and family factors; and care model factors. The largest number of barriers occurred at the healthcare system level (service accessibility, fragmentation, funding, workforce), while service providers demonstrated the most enabling factors (interprofessional relationships, skilled teams, personal characteristics). Strategies to improve practice included building partnerships; generating evidence; increasing funding; adapting for family-centred care; and integrating systems and data. Discussion: Australia shares many similar barriers and enablers to cardiac neurodevelopmental care with other international contexts. However, due to unique geographical and health-system factors, care models and implementation strategies will require adaption to the local context to improve service provision.

Evaluating automated machine learning platforms for use in healthcare.

Objective: To describe development and application of a checklist of criteria for selecting an automated machine learning (Auto ML) platform for use in creating clinical ML models. Materials and Methods: Evaluation criteria for selecting an Auto ML platform suited to ML needs of a local health district were developed in 3 steps: (1) identification of key requirements, (2) a market scan, and (3) an assessment process with desired outcomes. Results: The final checklist comprising 21 functional and 6 non-functional criteria was applied to vendor submissions in selecting a platform for creating a ML heparin dosing model as a use case. Discussion: A team of clinicians, data scientists, and key stakeholders developed a checklist which can be adapted to ML needs of healthcare organizations, the use case providing a relevant example. Conclusion: An evaluative checklist was developed for selecting Auto ML platforms which requires validation in larger multi-site studies.

Impact of a prospective feedback loop aimed at reducing non-beneficial treatments in older people admitted to hospital and potentially nearing the end of life. A cluster stepped-wedge randomised controlled trial.

OBJECTIVES: To investigate if a prospective feedback loop that flags older patients at risk of death can reduce non-beneficial treatment at end of life. DESIGN: Prospective stepped-wedge cluster randomised trial with usual care and intervention phases. SETTING: Three large tertiary public hospitals in south-east Queensland, Australia. PARTICIPANTS: 14 clinical teams were recruited across the three hospitals. Teams were recruited based on a consistent history of admitting patients aged 75+ years, and needed a nominated lead specialist consultant. Under the care of these teams, there were 4,268 patients (median age 84 years) who were potentially near the end of life and flagged at risk of non-beneficial treatment. INTERVENTION: The intervention notified clinicians of patients under their care determined as at-risk of non-beneficial treatment. There were two notification flags: a real-time notification and an email sent to clinicians about the at-risk patients at the end of each screening day. The nudge intervention ran for 16-35 weeks across the three hospitals. MAIN OUTCOME MEASURES: The primary outcome was the proportion of patients with one or more intensive care unit (ICU) admissions. The secondary outcomes examined times from patients being flagged at-risk. RESULTS: There was no improvement in the primary outcome of reduced ICU admissions (mean probability difference [intervention minus usual care] = -0.01, 95% confidence interval -0.08 to 0.01). There were no differences for the times to death, discharge, or medical emergency call. There was a reduction in the probability of re-admission to hospital during the intervention phase (mean probability difference -0.08, 95% confidence interval -0.13 to -0.03). CONCLUSIONS: This nudge intervention was not sufficient to reduce the trial's non-beneficial treatment outcomes in older hospital patients. TRIAL REGISTRATION: Australia New Zealand Clinical Trial Registry, ACTRN12619000675123 (registered 6 May 2019).

Attribute Development in Health-Related Discrete Choice Experiments: A Systematic Review of Qualitative Methods and Techniques to Inform Quantitative Instruments.

OBJECTIVES: This review sought to identify the qualitative methods and techniques that researchers have used in the past decade to develop attributes and inform health-related discrete choice experiments (DCEs) surveys from a patient perspective. METHODS: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for reporting systematic reviews. An adapted appraisal tool following guidelines for reporting qualitative research for quantitative instruments and criteria for attribute development in DCEs was applied for quality assessment and data extraction. A narrative approach was used to synthesize data. This examination included consideration of issues pertaining to sampling, data collection, data analysis, attribute list reduction, wording, methodological adaptations to capture patient preferences, and testing the pre-experimental design decisions of the DCE survey. RESULTS: Of 8505 articles identified for abstract screening, 680 were included for full-text screening, 36 of which met the inclusion criteria. Practices to improve methodological robustness included pre-data collection materials to inform instruments, data collection methods specific for decision-making scenarios, purposeful selection of data analysis methods to address the research question, and participants' involvement in reducing the list of attributes. Examples of methodological adaptations for patients were noted. CONCLUSIONS: DCEs have the potential to become a mixed-method approach in which the qualitative phase informs a reduced list of attributes for a survey, serves the predesign decisions of the experiment by testing trade-offs, overlapping, understandability, face, and content validity and provides explanations of the quantitative results. Establishing guidelines for using qualitative methods for DCE attribute development may help to broadly enhance the methodological robustness of DCEs.

Navigating the challenges of imposter participants in online qualitative research: lessons learned from a paediatric health services study.

BACKGROUND: The growth in online qualitative research and data collection provides several advantages for health service researchers and participants, including convenience and extended geographic reach. However, these online processes can also present unexpected challenges, including instances of participant fraud or scam behaviour. This study describes an incident of participant fraud identified during online focus group discussions and interviews for a PhD health services research project on paediatric neurodevelopmental care. METHODS: We aimed to recruit carers of Australian children with neurodevelopmental disorders. Potential participants were recruited via a publicly available social media advert on Facebook offering $50 AUD compensation. Those who expressed interest via email (n = 254) were sent a pre-interview Qualtrics survey to complete. We identified imposters at an early stage via inconsistencies in their self-reported geographical location and that captured by the survey as well as recognition of suspicious actions before, during and after focus group discussions and interviews. RESULTS: Interest in participation was unexpectedly high. We determined that all potential participants were likely imposters, posing as multiple individuals and using different IP addresses across Nigeria, Australia, and the United States. In doing so, we were able to characterise several "red flags" for identifying imposter participants, particularly those posing as multiple individuals. These comprise a combination of factors including large volumes and strange timings of email responses, unlikely demographic characteristics, short or vague interviews, a preference for nonvisual participation, fixation on monetary compensation, and inconsistencies in reported geographical location. Additionally, we propose several strategies to combat this issue such as providing proof of location or eligibility during recruitment and data collection, examining email and consent form patterns, and comparing demographic data with regional statistics. CONCLUSIONS: The emergent risk of imposter participants is an important consideration for those seeking to conduct health services research using qualitative approaches in online environments. Methodological design choices intended to improve equity and access for the target population may have an unintended consequence of improving access for fraudulent actors unless appropriate risk mitigation strategies are also employed. Lessons learned from this experience are likely to be valuable for novice health service researchers involved in online focus group discussions and interviews.

Recruitment and baseline characteristics of young adults at risk of early-onset knee osteoarthritis after ACL reconstruction in the SUPER-Knee trial.

Objectives: The study aims to (1) report the process of recruiting young adults into a secondary knee osteoarthritis prevention randomised controlled trial (RCT) after anterior cruciate ligament reconstruction (ACLR); (2) determine the number of individuals needed to be screened to include one participant (NNS) and (3) report baseline characteristics of randomised participants. Methods: The SUpervised exercise-therapy and Patient Education Rehabilitation (SUPER)-Knee RCT compares SUPER and minimal intervention for young adults (aged 18-40 years) with ongoing symptoms (ie, mean score of <80/100 from four Knee injury and Osteoarthritis Outcome Score subscales (KOOS4)) 9-36 months post-ACLR. The NNS was calculated as the number of prospective participants screened to enrol one person. At baseline, participants provided medical history, completed questionnaires (demographic, injury/surgery, rehabilitation characteristics) and underwent physical examination. Results: 1044 individuals were screened to identify 567 eligible people, from which 184 participants (63% male) enrolled. The sample of enrolled participants was multicultural (29% born outside Australia; 2% Indigenous Australians). The NNS was 5.7. For randomised participants, mean±SD age was 30±6 years. The mean body mass index was 27.3±5.2 kg/m2, with overweight (43%) and obesity (21%) common. Participants were, on average, 2.3 years post-ACLR. Over half completed <8 months of postoperative rehabilitation, with 56% having concurrent injury/surgery to meniscus and/or cartilage. The most affected KOOS (0=worst, 100=best) subscale was quality of life (mean 43.7±19.1). Conclusion: Young adults post-ACLR were willing to participate in a secondary osteoarthritis prevention trial. Sample size calculations should be multiplied by at least 5.7 to provide an estimate of the NNS. The SUPER-Knee cohort is ideally positioned to monitor and intervene in the early development and trajectory of osteoarthritis. Trial registration number: ACTRN12620001164987.

Multicomponent processes to identify and prioritise low-value care in hospital settings: a scoping review.

OBJECTIVES: This scoping review mapped and synthesised original research that identified low-value care in hospital settings as part of multicomponent processes. DESIGN: Scoping review. DATA SOURCES: Electronic databases (EMBASE, PubMed, CINAHL, PsycINFO and Cochrane CENTRAL) and grey literature were last searched 11 July and 3 June 2022, respectively, with no language or date restrictions. ELIGIBILITY CRITERIA: We included original research targeting the identification and prioritisation of low-value care as part of a multicomponent process in hospital settings. DATA EXTRACTION AND SYNTHESIS: Screening was conducted in duplicate. Data were extracted by one of six authors and checked by another author. A framework synthesis was conducted using seven areas of focus for the review and an overuse framework. RESULTS: Twenty-seven records were included (21 original studies, 4 abstracts and 2 reviews), originating from high-income countries. Benefit or value (11 records), risk or harm (10 records) were common concepts referred to in records that explicitly defined low-value care (25 records). Evidence of contextualisation including barriers and enablers of low-value care identification processes were identified (25 records). Common components of these processes included initial consensus, consultation, ranking exercise or list development (16 records), and reviews of evidence (16 records). Two records involved engagement of patients and three evaluated the outcomes of multicomponent processes. Five records referenced a theory, model or framework. CONCLUSIONS: Gaps identified included applying systematic efforts to contextualise the identification of low-value care, involving people with lived experience of hospital care and initiatives in resource poor contexts. Insights were obtained regarding the theories, models and frameworks used to guide initiatives and ways in which the concept 'low-value care' had been used and reported. A priority for further research is evaluating the effect of initiatives that identify low-value care using contextualisation as part of multicomponent processes.

Implementation outcomes of a digital, trauma-informed care, educational intervention targeting health professionals in a paediatric burns setting: A mixed methods process evaluation.

Trauma-informed care practices are associated with a culture of safety following traumatic experiences, including medical trauma. An interactive, web-based training package ('Responsive CARE') was developed for voluntary uptake by paediatric burns health professionals to increase staff knowledge about trauma-informed practice. This paper reports on a mixed methods process evaluation conducted alongside a preliminary effectiveness study of 'Responsive CARE'. The process evaluation was conducted using The Consolidated Framework for Implementation Research (CFIR) and a logic model, to examine feasibility of both the intervention and implementation strategy. Health practitioners (including senior managers) delivering care to children and caregivers attending an outpatient burns service were eligible to enrol in 'Responsive CARE'. Qualitative interview data and quantitative metadata were used to evaluate the implementation outcomes (adoption, acceptability, fidelity, feasibility and preliminary effectiveness). Children and caregivers attending an outpatient service for change of burn wound dressing or burn scar management during the 3-month control or 3-month intervention period were eligible to enrol in the effectiveness study. The impact on child pain and distress, as well as cost, was investigated using a pretest-posttest design. Thirteen (from anticipated 50 enrolled) health professionals (all female) with mean 10 years (SD=11) of experience with paediatric burns hospital-based outpatient care completed an average of 65% (range 36% to 88%) of available content. Twenty-five semi-structured interviews were completed with health practitioners (21 female) and with 14 caregivers (11 female). Four themes were identified as influencing feasibility and acceptability of the intervention: 1) Keeping a trauma-informed lens; 2) Ways of incorporating trauma-informed care; 3) Working within system constraints; and 4) Being trauma-informed. Preliminary effectiveness data included 177 participants (median age 2 years, and median total body surface area burn 1%). Causal assumptions within the logic model were unable to be fully tested, secondary to lower-than-expected adoption and fidelity. We found no significant difference for pain, distress and per-patient hospital care costs between groups (pre- and post-intervention). Future implementation strategies should include organizational support to keep a trauma-informed lens and to incorporate trauma-informed principles within a medical model of care. Despite efforts to co-design a staff education intervention and implementation approach focused on stakeholder engagement, adaptations are indicated to both the intervention and implementation strategies to promote uptake highlighting the complexity of changing clinician behaviours.

Consumer Preferences for a Healthcare Appointment Reminder in Australia: A Discrete Choice Experiment.

BACKGROUND: It is essential to consider the evidence of consumer preferences and their specific needs when determining which strategies to use to improve patient attendance at scheduled healthcare appointments. OBJECTIVES: This study aimed to identify key attributes and elicit healthcare consumer preferences for a healthcare appointment reminder system. METHODS: A discrete choice experiment was conducted in a general Australian population sample. The respondents were asked to choose between three options: their preferred reminder (A or B) or a 'neither' option. Attributes were developed through a literature review and an expert panel discussion. Reminder options were defined by four attributes: modality, timing, content and interactivity. Multinomial logit and mixed multinomial logit models were estimated to approximate individual preferences for these attributes. A scenario analysis was performed to estimate the likelihood of choosing different reminder systems. RESULTS: Respondents (n = 361) indicated a significant preference for an appointment reminder to be delivered via a text message (ß = 2.42, p < 0.001) less than 3 days before the appointment (ß = 0.99, p < 0.001), with basic details including the appointment cost (ß = 0.13, p < 0.10), and where there is the ability to cancel or modify the appointment (ß = 1.36, p < 0.001). A scenario analysis showed that the likelihood of choosing an appointment reminder system with these characteristics would be 97%. CONCLUSIONS: Our findings provide evidence on how healthcare consumers trade-off between different characteristics of reminder systems, which may be valuable to inform current or future systems. Future studies may focus on exploring the effectiveness of using patient-preferred reminders alongside other mitigation strategies used by providers.

Rasch validation of the short form (8 item) PC-QoL questionnaire and applicability of use as a health state classification system for a new preference-based measure.

BACKGROUND: The parent-proxy paediatric chronic cough quality of life questionnaire (PC-QoL) is a commonly used measure of spillover quality of life in parents of children with chronic cough. To date, spillover health utility in these parents is not routinely estimated largely due to the lack of a suitable instrument. Their perspective is not included in economic evaluations of interventions for their children. We explored developing a health state classification system based on the PC-QoL for measuring health utility spill over in this population. METHODS: This study included PC-QoL 8-item responses of 653 parents participating in a prospective cohort study about paediatric chronic cough. Exploratory factor analysis (EFA) and Rasch analysis were used to examine dimensionality and select potential items and level structure. RESULTS: EFA indicated that the PC-QoL had one underlying domain. Rasch analysis indicated threshold disordering in all items which improved when items were collapsed from seven to four levels. Two demonstrated differential item functioning (DIF) by diagnosis or ethnicity and were excluded from the final scale. This scale satisfied Rasch assumptions of local independence and unidimensionality and demonstrated acceptable fit to the Rasch model. It was presented to and modified by an expert panel and a consumer panel. The resulting classification system had six items, each with four levels. DISCUSSION: The PC-QoL can conform to a Rasch model with minor modifications. It may be a good basis for the classification system of a child cough-specific PBM. A valuation study is required to estimate preference weights for each item and to estimate health utility in parents of children with chronic cough.

Prospective validity of a clinical prediction rule for response to non-surgical multidisciplinary management of knee osteoarthritis in tertiary care: a multisite prospective longitudinal study.

OBJECTIVES: We tested a previously developed clinical prediction tool-a nomogram consisting of four patient measures (lower patient-expected benefit, lower patient-reported knee function, greater knee varus angle and severe medial knee radiological degeneration) that were related to poor response to non-surgical management of knee osteoarthritis. This study sought to prospectively evaluate the predictive validity of this nomogram to identify patients most likely to respond poorly to non-surgical management of knee osteoarthritis. DESIGN: Multisite prospective longitudinal study. SETTING: Advanced practice physiotherapist-led multidisciplinary service across six tertiary hospitals. PARTICIPANTS: Participants with knee osteoarthritis deemed appropriate for trial of non-surgical management following an initial assessment from an advanced practice physiotherapist were eligible for inclusion. INTERVENTIONS: Baseline clinical nomogram scores were collected before a trial of individualised non-surgical management commenced. PRIMARY OUTCOME MEASURE: Clinical outcome (Global Rating of Change) was collected 6 months following commencement of non-surgical management and dichotomised to responder (a little better to a very great deal better) or poor responder (almost the same to a very great deal worse). Clinical nomogram accuracy was evaluated from receiver operating characteristics curve analysis and area under the curve, and sensitivity/specificity and positive/negative likelihood ratios were calculated. RESULTS: A total of 242 participants enrolled. Follow-up scores were obtained from 210 participants (87% response rate). The clinical nomogram demonstrated an area under the curve of 0.70 (p<0.001), with greatest combined sensitivity 0.65 and specificity 0.64. The positive likelihood ratio was 1.81 (95% CI 1.32 to 2.36) and negative likelihood ratio 0.55 (95% CI 0.41 to 0.75). CONCLUSIONS: The knee osteoarthritis clinical nomogram prediction tool may have capacity to identify patients at risk of poor response to non-surgical management. Further work is required to determine the implications for service delivery, feasibility and impact of implementing the nomogram in clinical practice.

Process evaluation of a tailored nudge intervention to promote appropriate care and treatment of older patients at the end-of-life.

BACKGROUND: Non-beneficial treatment affects a considerable proportion of older people in hospital, and some will choose to decline invasive treatments when they are approaching the end of their life. The Intervention for Appropriate Care and Treatment (InterACT) intervention was a 12-month stepped wedge randomised controlled trial with an embedded process evaluation in three hospitals in Brisbane, Australia. The aim was to increase appropriate care and treatment decisions for older people at the end-of-life, through implementing a nudge intervention in the form of a prospective feedback loop. However, the trial results indicated that the expected practice change did not occur. The process evaluation aimed to assess implementation using the Consolidated Framework for Implementation Research, identify barriers and enablers to implementation and provide insights into the lack of effect of the InterACT intervention. METHODS: Qualitative data collection involved 38 semi-structured interviews with participating clinicians, members of the executive advisory groups overseeing the intervention at a site level, clinical auditors, and project leads. Online interviews were conducted at two times: implementation onset and completion. Data were coded to the Consolidated Framework for Implementation Research and deductively analysed. RESULTS: Overall, clinicians felt the premise and clinical reasoning behind InterACT were strong and could improve patient management. However, several prominent barriers affected implementation. These related to the potency of the nudge intervention and its integration into routine clinical practice, clinician beliefs and perceived self-efficacy, and wider contextual factors at the health system level. CONCLUSIONS: An intervention designed to change clinical practice for patients at or near to end-of-life did not have the intended effect. Future interventions targeting this area of care should consider using multi-component strategies that address the identified barriers to implementation and clinician change of practice. TRIAL REGISTRATION: Australia New Zealand Clinical Trial Registry (ANZCTR), ACTRN12619000675123p (approved 06/05/2019).

Effectiveness of a Regenerative Epithelial Suspension (RES), on the pigmentation of split-thickness skin graft donor sites in children: the dRESsing pilot randomised controlled trial protocol.

BACKGROUND: Paediatric donor site wounds are often complicated by dyspigmentation following a split-thickness skin graft. These easily identifiable scars can potentially never return to normal pigmentation. A Regenerative Epidermal Suspension (RES) has been shown to improve pigmentation in patients with vitiligo, and in adult patients following a burn injury. Very little is known regarding the efficacy of RES for the management of donor site scars in children. METHODS AND ANALYSIS: A pilot randomised controlled trial of 40 children allocated to two groups (RES or no RES) standard dressing applied to donor site wounds will be conducted. All children aged 16 years or younger requiring a split thickness skin graft will be screened for eligibility. The primary outcome is donor site scar pigmentation 12 months after skin grafting. Secondary outcomes include re-epithelialisation time, pain, itch, dressing application ease, treatment satisfaction, scar thickness and health-related quality of life. Commencing 7 days after the skin graft, the dressing will be changed every 3-5 days until the donor site is ≥ 95% re-epithelialised. Data will be collected at each dressing change and 3, 6 and 12 months post skin graft. ETHICS AND DISSEMINATION: Ethics approval was confirmed on 11 February 2019 by the study site Human Research Ethics Committee (HREC) (HREC/18/QCHQ/45807). Study findings will be published in peer-reviewed journals and presented at national and international conferences. This study was prospectively registered on the Australian New Zealand Clinical Trials Registry (available at https://anzctr.org.au/ACTRN12620000227998.aspx). TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry [Available at https://anzctr.org.au/ACTRN12620000227998.aspx].

Preventing hospital falls: feasibility of care workforce redesign to optimise patient falls education.

OBJECTIVE: To examine the feasibility of using allied health assistants to deliver patient falls prevention education within 48 h after hospital admission. DESIGN AND SETTING: Feasibility study with hospital patients randomly allocated to usual care or usual care plus additional patient falls prevention education delivered by supervised allied health assistants using an evidence-based scripted conversation and educational pamphlet. PARTICIPANTS: (i) allied health assistants and (ii) patients admitted to participating hospital wards over a 20-week period. OUTCOMES: (i) feasibility of allied health assistant delivery of patient education; (ii) hospital falls per 1,000 bed days; (iii) injurious falls; (iv) number of falls requiring transfer to an acute medical facility. RESULTS: 541 patients participated (median age 81 years); 270 control group and 271 experimental group. Allied health assistants (n = 12) delivered scripted education sessions to 254 patients in the experimental group, 97% within 24 h after admission. There were 32 falls in the control group and 22 in the experimental group. The falls rate was 8.07 falls per 1,000 bed days in the control group and 5.69 falls per 1,000 bed days for the experimental group (incidence rate ratio = 0.66 (95% CI 0.32, 1.36; P = 0.26)). There were 2.02 injurious falls per 1,000 bed days for the control group and 1.03 for the experimental group. Nine falls (7 control, 2 experimental) required transfer to an acute facility. No adverse events were attributable to the experimental group intervention. CONCLUSIONS: It is feasible and of benefit to supplement usual care with patient education delivered by allied health assistants.