How can interventions more directly address drivers of unprofessional behaviour between healthcare staff?

Unprofessional behaviours (UBs) between healthcare staff are widespread and have negative impacts on patient safety, staff well-being and organisational efficiency. However, knowledge of how to address UBs is lacking. Our recent realist review analysed 148 sources including 42 reports of interventions drawing on different behaviour change strategies and found that interventions insufficiently explain their rationale for using particular strategies. We also explored the drivers of UBs and how these may interact. In our analysis, we elucidated both common mechanisms underlying both how drivers increase UB and how strategies address UB, enabling the mapping of strategies against drivers they address. For example, social norm-setting strategies work by fostering a more professional social norm, which can help tackle the driver 'reduced social cohesion'. Our novel programme theory, presented here, provides an increased understanding of what strategies might be effective to adddress specific drivers of UB. This can inform logic model design for those seeking to develop interventions addressing UB in healthcare settings.

Short-term aerobic exercise prevents development of glucocorticoid myopathic features in aged skeletal muscle in a sex-dependent manner.

Older adults are vulnerable to glucocorticoid-induced muscle atrophy and weakness, with sex potentially influencing their susceptibility to those effects. Aerobic exercise can reduce glucocorticoid-induced muscle atrophy in young rodents. However, it is unknown whether aerobic exercise can prevent glucocorticoid myopathy in aged muscle. The objectives of this study were to define the extent to which sex influences the development of glucocorticoid myopathy in aged muscle, and to determine the extent to which aerobic exercise training protects against myopathy development. Twenty-four-month-old female (n = 30) and male (n = 33) mice were randomized to either sedentary or aerobic exercise groups. Within their respective groups, mice were randomized to either daily treatment with dexamethasone (DEX) or saline. Upon completing treatments, the contractile properties of the triceps surae complex were assessed in situ. DEX marginally lowered muscle mass and soluble protein content in both sexes, which was attenuated by aerobic exercise only in females. DEX increased sub-tetanic force and rate of force development only in females, which was not influenced by aerobic exercise. Muscle fatigue was higher in both sexes following DEX, but aerobic exercise prevented fatigue induction only in females. The sex-specific differences to muscle function in response to DEX treatment coincided with sex-specific changes to the content of proteins related to calcium handling, mitochondrial quality control, reactive oxygen species production, and glucocorticoid receptor in muscle. These findings define several important sexually dimorphic changes to aged skeletal muscle physiology in response to glucocorticoid treatment and define the capacity of short-term aerobic exercise to protect against those changes. KEY POINTS: There are sexually dimorphic effects of glucocorticoids on aged skeletal muscle physiology. Glucocorticoid-induced changes to aged muscle contractile properties coincide with sex-specific differences in the content of calcium handling proteins. Aerobic exercise prevents glucocorticoid-induced fatigue only in aged females and coincides with differences in the content of mitochondrial quality control proteins and glucocorticoid receptors.

Pulmonary hypertension impairs vasomotor function in rat diaphragm arterioles.

Pulmonary hypertension (PH) is a chronic, progressive condition in which respiratory muscle dysfunction is a primary contributor to exercise intolerance and dyspnea in patients. Contractile function, blood flow distribution, and the hyperemic response are altered in the diaphragm with PH, and we sought to determine whether this may be attributed, in part, to impaired vasoreactivity of the resistance vasculature. We hypothesized that there would be blunted endothelium-dependent vasodilation and impaired myogenic responsiveness in arterioles from the diaphragm of PH rats. Female Sprague-Dawley rats were randomized into healthy control (HC, n = 9) and monocrotaline-induced PH rats (MCT, n = 9). Endothelium-dependent and -independent vasodilation and myogenic responses were assessed in first-order arterioles (1As) from the medial costal diaphragm in vitro. There was a significant reduction in endothelium-dependent (via acetylcholine; HC, 78 ± 15% vs. MCT, 47 ± 17%; P < 0.05) and -independent (via sodium nitroprusside; HC, 89 ± 10% vs. MCT, 66 ± 10%; P < 0.05) vasodilation in 1As from MCT rats. MCT-induced PH also diminished myogenic constriction (P < 0.05) but did not alter passive pressure responses. The diaphragmatic weakness, impaired hyperemia, and blood flow redistribution associated with PH may be due, in part, to diaphragm vascular dysfunction and thus compromised oxygen delivery which occurs through both endothelium-dependent and -independent mechanisms.

Adoption of technology enabled care to support the management of children and teenagers in rheumatology services: a protocol for a mixed-methods systematic review.

INTRODUCTION: COVID-19 catalysed a rapid move to provide care away from the hospital using online communication platforms. Technology enabled care (TEC) continues to be an important driver in progressing future healthcare services. Due to the complex and chronic nature of conditions seen within paediatric rheumatology, TEC may lead to better outcomes. Despite some growth in published literature into the adoption of TEC in paediatric rheumatology, there is limited synthesis. The aim of this review is to provide a comprehensive understanding and evaluation of the adoption of TEC by patients in paediatric rheumatology services, to establish best practices. METHODS AND ANALYSIS: This proposed mixed-methods systematic review will be conducted by searching a wide variety of healthcare databases, grey literature resources and associated charities and societies, for articles reported in English language. Data extraction will include population demographics, technology intervention, factors affecting adoption of intervention and consequent study outcomes. A parallel-results convergent synthesis design is planned, with independent syntheses of quantitative and qualitative data, followed by comparison of the findings of each synthesis using a narrative approach. Normalisation process theory will be used to identify, characterise and explain implementation factors. The quality of included articles will be assessed using the Mixed Methods Appraisal Tool for research papers and the Authority, Accuracy, Coverage, Objectivity, Date, Significance checklist for grey literature. Overall confidence in quality and strength of evidence will be assessed using the Confidence in the Evidence from Reviews of Qualitative Research tool. ETHICS AND DISSEMINATION: Ethical approval is not required due to the nature of this mixed-methods systematic review. The findings will be disseminated via a peer-reviewed journal, relevant conferences and any other methods (eg, via NHS Trust or NIHR YouTube channels) as advised by paediatric rheumatology patients. PROSPERO REGISTRATION NUMBER: CRD42023443058.

Evaluating a shared care pathway intervention for people receiving chemotherapy to reduce post-treatment unplanned hospital presentations: a randomised controlled trial.

PURPOSE: The aim of this randomised controlled trial (RCT) was to explore whether a community nursing intervention for outpatients receiving systemic therapy reduced unplanned hospital presentations and improved physical and psychosocial health outcomes over the first three cycles of treatment compared to a control group receiving standard care. METHODS: The number of and reasons for unplanned presentations were obtained for 170 intervention and 176 control group adult patients with solid tumours starting outpatient chemotherapy. Poisson regression was used to compare the number of presentations between the intervention and control groups. Patients self-completed the Hospital Anxiety and Depression Scale, the Cancer Behavior Inventory and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire core 30 (EORTC QLQ-C30) at the start of the first four cycles. Linear regression techniques were used to compare quality of life outcomes. RESULTS: The reduction in unplanned presentations in the intervention group relative to the control group was 12% (95% CI, - 25%, 37%; P = 0.48). At the start of cycle 4, there was no difference in anxiety (difference = 0.47 (95% CI, - 0.28, 1.22; P = 0.22)), depression (difference = 0.57 (95% CI, - 0.18, 1.31; P = 0.13)) or EORTC QLQ-C30 summary score (difference = 0.16 (95% CI, - 2.67, 3.00; P = 0.91)). Scores for self-efficacy as measured by the Cancer Behavior Inventory were higher in the intervention group (difference = 4.3 (95% CI, 0.7, 7.9; P = 0.02)). CONCLUSION: This RCT did not demonstrate a benefit in reducing unplanned presentations to hospital. The trial identified improved cancer-based self-efficacy in patients receiving the intervention. TRIAL REGISTRATION: Registered at Australian and New Zealand Clinical Trials Registry: ACTRN12614001113640, registered 21/10/2014.

The predictive role of symptoms in COVID-19 diagnostic models: A longitudinal insight.

To investigate the symptoms of SARS-CoV-2 infection, their dynamics and their discriminatory power for the disease using longitudinally, prospectively collected information reported at the time of their occurrence. We have analysed data from a large phase 3 clinical UK COVID-19 vaccine trial. The alpha variant was the predominant strain. Participants were assessed for SARS-CoV-2 infection via nasal/throat PCR at recruitment, vaccination appointments, and when symptomatic. Statistical techniques were implemented to infer estimates representative of the UK population, accounting for multiple symptomatic episodes associated with one individual. An optimal diagnostic model for SARS-CoV-2 infection was derived. The 4-month prevalence of SARS-CoV-2 was 2.1%; increasing to 19.4% (16.0%-22.7%) in participants reporting loss of appetite and 31.9% (27.1%-36.8%) in those with anosmia/ageusia. The model identified anosmia and/or ageusia, fever, congestion, and cough to be significantly associated with SARS-CoV-2 infection. Symptoms' dynamics were vastly different in the two groups; after a slow start peaking later and lasting longer in PCR+ participants, whilst exhibiting a consistent decline in PCR- participants, with, on average, fewer than 3 days of symptoms reported. Anosmia/ageusia peaked late in confirmed SARS-CoV-2 infection (day 12), indicating a low discrimination power for early disease diagnosis.

Effect of a coaching intervention to enhance physical activity and prevent falls in community-dwelling people aged 60+ years: a cluster randomised controlled trial.

OBJECTIVES: To evaluate the effect of a coaching intervention compared with control on physical activity and falls rate at 12 months in community-dwelling people aged 60+ years. DESIGN: Cluster randomised controlled trial. SETTING: Community-dwelling older people. PARTICIPANTS: 72 clusters (605 participants): 37 clusters (290 participants) randomised to the intervention and 35 (315 participants) to control. INTERVENTION: Intervention group received written information, fall risk assessment and prevention advice by a physiotherapist, activity tracker and telephone-based coaching from a physiotherapist focused on safe physical activity. Control group received written information and telephone-based dietary coaching. Both groups received up to 19 sessions of telephone coaching over 12 months. OUTCOMES: The co-primary outcomes were device-measured physical activity expressed in counts per minute at 12 months and falls rate over 12 months. Secondary outcomes included the proportion of fallers, device-measured daily steps and moderate-to-vigorous physical activity (MVPA), self-reported hours per week of physical activity, body mass index, eating habits, goal attainment, mobility-related confidence, quality of life, fear of falling, risk-taking behaviour, mood, well-being and disability. RESULTS: The mean age of participants was 74 (SD 8) years, and 70% (n=425) were women. There was no significant effect of the intervention on device-measured physical activity counts per minute (mean difference 5 counts/min/day, 95% CI -21 to 31), or falls at 12 months (0.71 falls/person/year in intervention group and 0.87 falls/person/year in control group; incidence rate ratio 0.86, 95% CI 0.65 to 1.14). The intervention had a positive significant effect on device-measured daily steps and MVPA, and self-reported hours per week of walking, well-being, quality of life, and disability. No significant between-group differences were identified in other secondary outcomes. CONCLUSION: A physical activity and fall prevention programme including fall risk assessment and prevention advice, plus telephone-based health coaching, did not lead to significant differences in physical activity counts per minute or falls rate at 12 months. However, this programme improved other physical activity measures (ie, daily steps, MVPA, hours per week of walking), overall well-being, quality of life and disability. TRIAL REGISTRATION NUMBER: ACTRN12615001190594.

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 .

Effectiveness and implementation of psychological interventions for depression in people with non-communicable diseases in South Asia: Systematic review and meta-analysis.

We evaluate the effectiveness of psychological interventions for depression in people with NCDs in South Asia and explore the individual, organizational, and policy-level barriers and facilitators for the implementation and scaling up of these interventions. Eight databases (and local web pages) were searched in May 2022. We conducted random effects models to evaluate the pooled effect of psychological interventions on depression in people with NCDs. We extracted the individual, organizational, and policy level barriers and facilitators. We found five randomized control trials, nine qualitative studies, and 35 policy documents that fitted the inclusion criteria. The pooled standardized mean difference in depression comparing psychological interventions with usual care was -2.31 (95% CI, -4.16 to -0.45; p = .015, I2 = 96.0%). We found barriers and facilitators to intervention delivery, mental health appears in the policy agenda in Bangladesh and Pakistan. However, there is a lack of policies relating to training in mental health for NCD health providers and a lack of integration of mental health care with NCD care. All of the psychological interventions reported to be effective in treating depression in this population. There are important delivery and policy barriers to the implementation and scaling up of psychological interventions for people with NCDs.

State-of-the-art review of medical improvisation curricula to teach health professional learners communication.

Medical improvisation (improv) applies theater principles and techniques to improve communication and teamwork with health professionals (HP). Improv curricula have increased over time, but little is known about best practices in curricula development, implementation, and assessment. We sought to complete a state-of-the-art review of medical improv curricula to teach HP learners communication skills. A literature search of MEDLINE and 8 other databases on HP medical education and medical improv communication curricula occurred. We screened 1869 articles published from 2012 to 2022. Seventeen articles were selected for extraction and synthesis. Common curricular goals included improving interprofessional, interpersonal, and empathetic communication. Curricula often lacked alignment between learning objectives and improv exercises. Sessions occurred once (65%) or were longitudinal (35%). Only 24% reported a full description of their intervention. Few reported details on the content of curricula. Evaluations often focused on feasibility and acceptability. Heterogeneity exists in the development, implementation, and assessment of improv curricula. Low-quality evidence was provided to support the use of medical improv to teach communication skills to HP learners. Improv curricula were feasible, and acceptable to learners. We offer recommendations to guide future medical improv curricula development.

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 .

Investigating community-based care service factors delaying residential care home admission of community dwelling older adults and cost consequence.

OBJECTIVES: To examine factors contributing to delaying care home admission; and compare the rates of care home admission and cost consequence between two government subsidised programmes, Veterans' Affairs Community Nursing (VCN) and Home Care Package (HCP). METHODS: Our national, population-based retrospective cohort study and cost analysis used existing, de-identified veterans' claims databases (2010-19) and the Registry of Senior Australians Historical Cohort (2010-17), plus aggregate programme expenditure data. This involved 21,636 VCN clients (20,980 aged 65-100 years), and an age- and sex-matched HCP cohort (N = 20,980). RESULTS: Service factors associated with lower risk of care home admission in the VCN cohort were periodic (versus continuous) service delivery (HR 0.27 [95%CI, 0.24-0.31] for ≤18 months; HR 0.89 [95%CI, 0.84-0.95] for >18 months), and majority care delivered by registered nurses (versus personal care workers) (HR 0.86 [95%CI, 0.75-0.99] for ≤18 months; HR 0.91 [95%CI, 0.85-0.98] for >18 months). In the matched cohorts, the time to care home admission for VCN clients (median 28 months, IQR 14-42) was higher than for HCP clients (14, IQR 6-27). Within 5 years of service access, 57.6% (95%CI, 56.9-58.4) of HCP clients and 26.6% (95%CI, 26.0-27.2) of VCN clients had care home admission. The estimated cost saving for VCN recipients compared to HCP recipients over 5 years for relevant government providers was over A$1 billion. CONCLUSIONS: Compared to an HCP model, individuals receiving VCN services remained at home longer, with potentially significant cost savings. This new understanding suggests timely opportunity for many countries' efforts to enhance community-based care services.

A novel neural network model with distributed evolutionary approach for big data classification.

The considerable improvement of technology produced for various applications has resulted in a growth in data sizes, such as healthcare data, which is renowned for having a large number of variables and data samples. Artificial neural networks (ANN) have demonstrated adaptability and effectiveness in classification, regression, and function approximation tasks. ANN is used extensively in function approximation, prediction, and classification. Irrespective of the task, ANN learns from the data by adjusting the edge weights to minimize the error between the actual and predicted values. Back Propagation is the most frequent learning technique that is used to learn the weights of ANN. However, this approach is prone to the problem of sluggish convergence, which is especially problematic in the case of Big Data. In this paper, we propose a Distributed Genetic Algorithm based ANN Learning Algorithm for addressing challenges associated with ANN learning for Big data. Genetic Algorithm is one of the well-utilized bio-inspired combinatorial optimization methods. Also, it is possible to parallelize it at multiple stages, and this may be done in an extremely effective manner for the distributed learning process. The proposed model is tested with various datasets to evaluate its realizability and efficiency. The results obtained from the experiments show that after a specific volume of data, the proposed learning method outperformed the traditional methods in terms of convergence time and accuracy. The proposed model outperformed the traditional model by almost 80% improvement in computational time.

Nanoencapsulation of Phenolic Extracts from Native Potato Clones (Solanum tuberosum spp. andigena) by Spray Drying.

Native potato clones grown in Peru contain bioactive compounds beneficial to human health. This study aimed to optimize the spray-drying nanoencapsulation of native potato phenolic extracts utilizing a central composite design and response surface methodology, obtaining the optimal treatment to an inlet temperature of 120 °C and an airflow of 141 L/h in the nano spray dryer B-90, which allowed maximizing the yield of encapsulation, antioxidant capacity (DPPH), encapsulation efficiency (EE), total phenolic compounds, and total flavonoids; on the other hand, it allowed minimizing hygroscopicity, water activity (Aw), and moisture. Instrumental characterization of the nanocapsules was also carried out, observing a gain in lightness, reddening of the color, and spherical nanoparticles of heterogeneous size (133.09-165.13 nm) with a negative ζ potential. Thermal, infrared, and morphological analyses confirmed the encapsulation of the core in the wall materials. Furthermore, an in vitro release study of phenolic compounds in an aqueous solution achieved a maximum value of 9.86 mg GAE/g after 12 h. Finally, the obtained nanocapsules could be used in the food and pharmaceutical industry.

Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study.

Brain functional networks identified from resting functional magnetic resonance imaging (fMRI) data have the potential to reveal biomarkers for brain disorders, but studies of complex mental illnesses such as schizophrenia (SZ) often yield mixed results across replication studies. This is likely due in part to the complexity of the disorder, the short data acquisition time, and the limited ability of the approaches for brain imaging data mining. Therefore, the use of analytic approaches which can both capture individual variability while offering comparability across analyses is highly preferred. Fully blind data-driven approaches such as independent component analysis (ICA) are hard to compare across studies, and approaches that use fixed atlas-based regions can have limited sensitivity to individual sensitivity. By contrast, spatially constrained ICA (scICA) provides a hybrid, fully automated solution that can incorporate spatial network priors while also adapting to new subjects. However, scICA has thus far only been used with a single spatial scale (ICA dimensionality, i.e., ICA model order). In this work, we present an approach using multi-objective optimization scICA with reference algorithm (MOO-ICAR) to extract subject-specific intrinsic connectivity networks (ICNs) from fMRI data at multiple spatial scales, which also enables us to study interactions across spatial scales. We evaluate this approach using a large N (N > 1,600) study of schizophrenia divided into separate validation and replication sets. A multi-scale ICN template was estimated and labeled, then used as input into scICA which was computed on an individual subject level. We then performed a subsequent analysis of multiscale functional network connectivity (msFNC) to evaluate the patient data, including group differences and classification. Results showed highly consistent group differences in msFNC in regions including cerebellum, thalamus, and motor/auditory networks. Importantly, multiple msFNC pairs linking different spatial scales were implicated. The classification model built on the msFNC features obtained up to 85% F1 score, 83% precision, and 88% recall, indicating the strength of the proposed framework in detecting group differences between schizophrenia and the control group. Finally, we evaluated the relationship of the identified patterns to positive symptoms and found consistent results across datasets. The results verified the robustness of our framework in evaluating brain functional connectivity of schizophrenia at multiple spatial scales, implicated consistent and replicable brain networks, and highlighted a promising approach for leveraging resting fMRI data for brain biomarker development.

Mid- to late-term follow-up of primary hip and knee arthroplasty: the UK SAFE evidence-based recommendations.

To review the evidence and reach consensus on recommendations for follow-up after total hip and knee arthroplasty. A programme of work was conducted, including: a systematic review of the clinical and cost-effectiveness literature; analysis of routine national datasets to identify pre-, peri-, and postoperative predictors of mid-to-late term revision; prospective data analyses from 560 patients to understand how patients present for revision surgery; qualitative interviews with NHS managers and orthopaedic surgeons; and health economic modelling. Finally, a consensus meeting considered all the work and agreed the final recommendations and research areas. The UK poSt Arthroplasty Follow-up rEcommendations (UK SAFE) recommendations apply to post-primary hip and knee arthroplasty follow-up. The ten-year time point is based on a lack of robust evidence beyond ten years. The term 'complex cases' refers to individual patient and surgical factors that may increase the risk for arthroplasty failure. For Orthopaedic Data Evaluation Panel (ODEP) 10A* minimum implants, it is safe to disinvest in routine follow-up from one to years post-non-complex hip and knee arthroplasty provided there is rapid access to orthopaedic review. For ODEP 10A* minimum implants in complex cases, or non-ODEP 10A* minimum implants, periodic follow-up post-hip and knee arthroplasty may be required from one to ten years. At ten years post-hip and knee arthroplasty, clinical and radiological evaluation is recommended. After ten years post-hip and knee arthroplasty, frequency of further follow-up should be based on the ten-year assessment; ongoing rapid access to orthopaedic review is still required. Complex cases, implants not meeting the ODEP 10A* criteria, and follow-up after revision surgery are not covered by this recommendation.