Predictors of mortality shortly after entering a long-term care facility.

OBJECTIVE: Moving into a long-term care facility (LTCF) requires substantial personal, societal and financial investment. Identifying those at high risk of short-term mortality after LTCF entry can help with care planning and risk factor management. This study aimed to: (i) examine individual-, facility-, medication-, system- and healthcare-related predictors for 90-day mortality at entry into an LTCF and (ii) create risk profiles for this outcome. DESIGN: Retrospective cohort study using data from the Registry of Senior Australians. SUBJECTS: Individuals aged ≥ 65 years old with first-time permanent entry into an LTCF in three Australian states between 01 January 2013 and 31 December 2016. METHODS: A prediction model for 90-day mortality was developed using Cox regression with the purposeful variable selection approach. Individual-, medication-, system- and healthcare-related factors known at entry into an LTCF were examined as predictors. Harrell's C-index assessed the predictive ability of our risk models. RESULTS: 116,192 individuals who entered 1,967 facilities, of which 9.4% (N = 10,910) died within 90 days, were studied. We identified 51 predictors of mortality, five of which were effect modifiers. The strongest predictors included activities of daily living category (hazard ratio [HR] = 5.41, 95% confidence interval [CI] = 4.99-5.88 for high vs low), high level of complex health conditions (HR = 1.67, 95% CI = 1.58-1.77 for high vs low), several medication classes and male sex (HR = 1.59, 95% CI = 1.53-1.65). The model out-of-sample Harrell's C-index was 0.773. CONCLUSIONS: Our mortality prediction model, which includes several strongly associated factors, can moderately well identify individuals at high risk of mortality upon LTCF entry.

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).

The conveyor belt for older people nearing the end of life.

The current fallback position for the elderly frail nearing the end of life (less than 12 months to live) is hospitalisation. There is a reluctance to use the term 'terminally ill' for this population, resulting in overtreatment, overdiagnosis and management that is not consistent with the wishes of people. This is the major contributor to the so-called hospital crisis, including decreased capacity of hospitals, reduced ability to conduct elective surgery, increased attendances at emergency departments and ambulance ramping. The authors recently conducted the largest randomised study, to their knowledge, attempting to inform specialist hospital medical teams about the terminally ill status of their admitted patients. This information did not influence their clinical decisions in any way. The authors discuss the reasons why this may have occurred, such as the current avoidance of discussing death and dying by society and the concentration of healthcare workers on actively managing the acute presenting problem and ignoring the underlying prognosis in the elderly frail. The authors discuss ways of improving the management of the elderly nearing the end of life, such as more detailed goals of care discussions using the concept of shared decision-making rather than simply completing Advanced Care Decision documents. Empowering people in this way could become the most important driver of people's health care.

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).

Primary, allied health, selected specialists, and mental health service utilisation by home care recipients in Australia before and after accessing the care, 2017-2019.

OBJECTIVES: To examine changes in primary, allied health, selected specialists, and mental health service utilisation by older people in the year before and after accessing home care package (HCP) services. METHODS: A retrospective cohort study using the Registry of Senior Australians Historical National Cohort (≥ 65 years old), including individuals accessing HCP services between 2017 and 2019 (N = 109,558), was conducted. The utilisation of general practice (GP) attendances, health assessments, chronic disease management plans, allied health services, geriatric, pain, palliative, and mental health services, subsidised by the Australian Government Medicare Benefits Schedule, was assessed in the 12 months before and after HCP access, stratified by HCP level (1-2 vs. 3-4, i.e., lower vs. higher care needs). Relative changes in service utilisation 12 months before and after HCP access were estimated using adjusted risk ratios (aRR) from Generalised Estimating Equation Poisson models. RESULTS: Utilisation of health assessments (7-10.2%), chronic disease management plans (19.7-28.2%), and geriatric, pain, palliative, and mental health services (all ≤ 2.5%) remained low, before and after HCP access. Compared to 12 months prior to HCP access, 12 months after, GP after-hours attendances increased (HCP 1-2 from 6.95 to 7.5%, aRR = 1.07, 95% CI 1.03-1.11; HCP 3-4 from 7.76 to 9.32%, aRR = 1.20, 95%CI 1.13-1.28) and allied health services decreased (HCP 1-2 from 34.8 to 30.7%, aRR = 0.88, 95%CI 0.87-0.90; HCP levels 3-4 from 30.5 to 24.3%, aRR = 0.80, 95%CI 0.77-0.82). CONCLUSIONS: Most MBS subsidised preventive, management and specialist services are underutilised by older people, both before and after HCP access and small changes are observed after they access HCP.

Codesigning implementation strategies to improve evidence-based stroke rehabilitation: A feasibility study.

INTRODUCTION: People with lived experience are rarely involved in implementation science research. This study was designed to assess the feasibility of codesigning and delivering implementation strategies with people with lived experience of stroke and health professionals to improve evidence-based stroke rehabilitation. METHODS: We used Experience-Based CoDesign to design and deliver strategies to implement Stroke Clinical Guideline recommendations at one Australian inpatient stroke rehabilitation unit. Workgroups were formed with health professionals and people with 6-12 months experience of living with stroke (survivors and carers). Feasibility of the codesign approach (focusing on acceptability, implementation fidelity, signal of promise) was evaluated using mixed methods, using data from interviews, observations and inpatient self-reported outcomes. RESULTS: Of 18 people with stroke invited, eight (44%) agreed to join the lived experience workgroup. All disciplines with ≥1 full-time staff members on the stroke unit were represented on the health professional workgroup. Median workgroup attendance over 6 months was n = 8 health professionals, n = 4 survivors of stroke and n = 1 carers. Workgroup members agreed to focus on two Guideline recommendations: information provision and amount of therapy. Workgroup members indicated that the codesign approach was enjoyable and facilitated effective partnerships between health professionals and lived experience workgroup members. Both cohorts reported contributing valuable input to all stages of the project, with responsibility shifting between groups at different project stages. The codesigned strategies signalled promise for improving aspects of information provision and creating additional opportunities for therapy. We could not compare patient-reported outcomes before and after the implementation period due to high variability between the preimplementation and postimplementation patient cohorts. CONCLUSION: It is feasible to codesign implementation strategies in inpatient rehabilitation with people with lived experience of stroke and health professionals. More research is required to determine the effect of the codesigned strategies on patient and service outcomes. PATIENT OR PUBLIC CONTRIBUTION: People with lived experience of stroke codesigned and evaluated implementation strategies. Author F. C. has lived experience of stroke and being an inpatient at the inpatient rehabilitation service, and has provided input into analysis of the findings and preparation of this manuscript.

From pilot to a multi-site trial: refining the Early Detection of Deterioration in Elderly Residents (EDDIE +) intervention.

BACKGROUND: Early Detection of Deterioration in Elderly Residents (EDDIE +) is a multi-modal intervention focused on empowering nursing and personal care workers to identify and proactively manage deterioration of residents living in residential aged care (RAC) homes. Building on successful pilot trials conducted between 2014 and 2017, the intervention was refined for implementation in a stepped-wedge cluster randomised trial in 12 RAC homes from March 2021 to May 2022. We report the process used to transition from a small-scale pilot intervention to a multi-site intervention, detailing the intervention to enable future replication. METHODS: The EDDIE + intervention used the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to guide the intervention development and refinement process. We conducted an environmental scan; multi-level context assessments; convened an intervention working group (IWG) to develop the program logic, conducted a sustainability assessment and deconstructed the intervention components into fixed and adaptable elements; and subsequently refined the intervention for trial. RESULTS: The original EDDIE pilot intervention included four components: nurse and personal care worker education; decision support tools; diagnostic equipment; and facilitation and clinical support. Deconstructing the intervention into core components and what could be flexibly tailored to context was essential for refining the intervention and informing future implementation across multiple sites. Intervention elements considered unsustainable were updated and refined to enable their scalability. Refinements included: an enhanced educational component with a greater focus on personal care workers and interactive learning; decision support tools that were based on updated evidence; equipment that aligned with recipient needs and available organisational support; and updated facilitation model with local and external facilitation. CONCLUSION: By using the i-PARIHS framework in the scale-up process, the EDDIE + intervention was tailored to fit the needs of intended recipients and contexts, enabling flexibility for local adaptation. The process of transitioning from a pilot to larger scale implementation in practice is vastly underreported yet vital for better development and implementation of multi-component interventions across multiple sites. We provide an example using an implementation framework and show it can be advantageous to researchers and health practitioners from pilot stage to refinement, through to larger scale implementation. TRIAL REGISTRATION: The trial was prospectively registered with the Australia New Zealand Clinical Trial Registry (ACTRN12620000507987, registered 23/04/2020).

Navigating the facilitation journey: a qualitative, longitudinal evaluation of 'Eat Walk Engage' novice and experienced facilitators.

BACKGROUND: The Promoting Action on Research Implementation in Health Services (PARIHS) and integrated-PARIHS (i-PARIHS) frameworks position facilitation as an overarching strategy to enable implementation. In the revised i-PARIHS framework, facilitation is operationalised through a multi-level model with novice, experienced and expert facilitators working together in a network structure to build facilitation knowledge and skills along a continuum. To date, there has been limited evaluation of this facilitation model in practice, which is the aim of the study reported here. METHODS: A descriptive, qualitative longitudinal study was undertaken to track a team of four novice and two experienced facilitators involved in facilitating the implementation of an intervention known as 'Eat Walk Engage' to improve multidisciplinary team delivery of age-friendly care principles in hospital. Over an 18-month period, repeat interviews were conducted to explore the learning, development, and evolving roles of novice facilitators and the roles of the experienced facilitators in providing support and mentoring. Interview data were analysed using a descriptive qualitative approach and findings were interpreted in collaboration with the participating facilitators. RESULTS: The findings demonstrated experiential learning in both the novice and experienced facilitator groups as they enacted their roles in practice. The novice facilitators progressively transitioned to becoming more experienced facilitators and the experienced facilitators became increasingly expert, in line with the i-PARIHS concept of a facilitation journey from novice to expert. Strategies to support this development included a staggered approach to learning, regular meetings between the experienced and novice facilitators, reflective writing and informal peer support and networking. However, the roles were not without challenge and these challenges changed over time, from a more specific focus on the demands of the facilitator role to concerns about embedding and sustaining improvements in practice. CONCLUSIONS: Within a network of peers and a mentored relationship with more experienced facilitators, individuals who are new to an implementation facilitator role can transition along a continuum to become experienced facilitators. Building implementation facilitation capability in this way takes time and requires tailored support and mentorship using a mix of structured and flexible approaches incorporating opportunities for reflection to support individual and group learning.

Implementing a ward-based programme to improve care for older inpatients: process evaluation of the cluster randomised CHERISH trial.

BACKGROUND: Older inpatients are at high risk of hospital-associated complications, particularly delirium and functional decline. These can be mitigated by consistent attention to age-friendly care practices such as early mobility, adequate nutrition and hydration, and meaningful cognitive and social activities. Eat Walk Engage is a ward-based improvement programme theoretically informed by the i-PARIHS framework which significantly reduced delirium in a four-hospital cluster trial. The objective of this process evaluation was to understand how Eat Walk Engage worked across trial sites. METHODS: Prospective multi-method implementation evaluation on medical and surgical wards in four hospitals implementing Eat Walk Engage January 2016-May 2017. Using UK Medical Research Council guidance, this process evaluation assessed context, implementation (core components, implementation strategies and improvements) and mechanisms of impact (practice changes measured through older person interviews, structured mealtime observations and activity mapping) at each site. RESULTS: The four wards had varied contextual barriers which altered dynamically with time. One ward with complex outer organisational barriers showed poorer implementation and fewer practice changes. Two experienced facilitators supported four novice site facilitators through interactive training and structured reflection as well as data management, networking and organisational influence. Novice site facilitators used many implementation strategies to facilitate 45 discrete improvements at individual, team and system level. Patient interviews (42 before and 38 after implementation) showed better communication about program goals in three sites. Observations of 283 meals before and 297 after implementation showed improvements in mealtime positioning and assistance in all sites. Activity mapping in 85 patients before and 111 patients after implementation showed improvements in cognitive and social engagement in three sites, but inconsistent changes in mobility. The improvements in mealtime care and cognitive and social engagement are plausible mediators of reduced delirium observed in the trial. The lack of consistent mobility improvements may explain why the trial did not show reduction in functional decline. CONCLUSIONS: A multi-level enabling facilitation approach supported adaptive implementation to varied contexts to support mechanisms of impact which partly achieved the programme goals. Contexts changed over time, suggesting the need for adequate time and continued facilitation to embed, enhance and sustain age-friendly practices on acute care wards and optimise outcomes. TRIAL REGISTRATION: The CHERISH trial was prospectively registered with the ANZCTR ( http://www.anzctr.org.au ): ACTRN12615000879561.

Implementing a Screen-Clean-Hydrate bundle of care for improving swallow screening, oral health, and hydration in acute stroke: Protocol for a Type 2 hybrid-effectiveness pre-post study.

Stroke clinical guidelines recommend care processes that optimize patient outcomes and minimize hospital-acquired complications. However, audits and surveys illustrate that recommended care is not always consistently or thoroughly implemented. This paper outlines the methods for implementing and evaluating a new bundle of care. Screen-Clean-Hydrate bundles together recommendations from the Australian Clinical Guidelines for Stroke Management and supplements these with evidence-informed best practice from the literature for: swallow screening within 4 h of presentation to hospital (Screen); oral health assessment and delivery of oral care (Clean); and hydration assessment and management (Hydrate). The study is a pre-post Type 2 hybrid effectiveness/implementation design with an embedded process evaluation, which will be conducted in two acute stroke units in a capital city of Australia. The integrated-Promoting Action on Research Implementation in Health Services (iPARIHS) framework will be used to guide study design, conduct, and evaluation. Clinical effectiveness will be measured by rates of hospital-acquired complications and proxy measures of cost (length of stay, procedure costs) for 60 patient participants pre- and postimplementation. Implementation outcomes will focus on acceptability, feasibility, uptake and fidelity, and identification of barriers and enablers to implementation through staff interviews, medical record audits, and researcher field notes. Due to its design as a hybrid effectiveness/implementation study, once completed, the study will provide information on both intervention and implementation effectiveness, including details of successful and unsuccessful multidisciplinary implementation strategies. This will inform a larger multisite effectiveness/implementation trial for future upscale, leading to improved compliance with stroke guidelines and therefore stroke outcomes.

Understanding How and Under What Circumstances Social Media Supports Health Care Providers' Knowledge Use in Clinical Practice: A Realist Review.

Background: Although theoretical frameworks exist to guide social media interventions, few of them make it explicit how social media is supposed to work to improve the knowledge use by health care providers. This study aimed to synthesize literature to understand how and under what circumstances social media supports knowledge use by health care providers in clinical practice. Methods: We followed the realist review methodology described by Pawson et al. It involved six iterative steps: (1) develop an initial program theory; (2) search for evidence; (3) select and appraise studies; (4) extract data; (5) synthesize data; and (6) draw conclusions. Results: Of the 7,175 citations retrieved, 32 documents were prioritized for synthesis. We identified two causal explanations of how social media could support health care providers' knowledge use, each underpinned by distinct context-mechanism-outcome (CMO) configurations. We defined these causal explanations as: (1) the rationality-driven approach that primarily uses open social media platforms (n = 8 CMOs) such as Twitter, and (2) the relationality-driven approach that primarily uses closed social media platforms (n = 6 CMOs) such as an online community of practice. Key mechanisms of the rationality-driven approach included social media content developers capabilities and capacities, in addition to recipients' access to, perceptions of, engagement with, and intentions to use the messages, and ability to function autonomously within their full scope of practice. However, the relationality-driven approach encompassed platform receptivity, a sense of common goals, belonging, trust and ownership, accessibility to expertise, and the fulfillment of needs as key mechanisms. Conclusion: Social media has the potential to support knowledge use by health care providers. Future research is necessary to refine the two causal explanations and investigate their potential synergistic effects on practice change.

Self-efficacy for self-management and its influencing factors among adults living with HIV on antiretroviral therapy in northwest Ethiopia.

Previous research has identified that self-efficacy is an essential factor in the process of self-management; however, the evidence is lacking concerning factors influencing self-efficacy in low-income countries. Therefore, this study examined factors influencing self-efficacy. A validated survey tool was orally administered to 415 adults living with HIV. Many of the respondents, 82.4%, do not have a regular job while one-fourth (25.5%) of the respondents were from a rural area. A mean self-efficacy score, 19.76 ± 0.12 out of a maximum of 24 was identified. This self-efficacy score was positively correlated with age, educational level, income and job status, but negatively correlated with gender, residency and drug side effects. Income, residency in rural, and experiencing drug side effects were significant predictors of self-efficacy and explained 5.4% of the variance. Better income (ß = 0.514, p = 0.029) was associated with a higher self-efficacy score but living in rural areas (ß = -0.520, p = 0.043) and experiencing drug side effects (ß = -1.246, p = 0.001) were associated with a lower self-efficacy score. The use of Individual and Family Self-Management Theory helps clinician and patients to work together to identify factors influencing self-efficacy and to intervene.

Impact of relational continuity of primary care in aged care: a systematic review.

BACKGROUND: Greater continuity of care has been associated with lower hospital admissions and patient mortality. This systematic review aims to examine the impact of relational continuity between primary care professionals and older people receiving aged care services, in residential or home care settings, on health care resource use and person-centred outcomes. METHODS: Systematic review of five databases, four trial registries and three grey literature sources to October 2020. Included studies (a) aimed to increase relational continuity with a primary care professional, (b) focused on older people receiving aged care services (c) included a comparator and (d) reported outcomes of health care resource use, quality of life, activities of daily living, mortality, falls or satisfaction. Cochrane Collaboration or Joanna Briggs Institute criteria were used to assess risk of bias and GRADE criteria to rate confidence in evidence and conclusions. RESULTS: Heterogeneity in study cohorts, settings and outcome measurement in the five included studies (one randomised) precluded meta-analysis. None examined relational continuity exclusively with non-physician providers. Higher relational continuity with a primary care physician probably reduces hospital admissions (moderate certainty evidence; high versus low continuity hazard ratio (HR) 0.94; 95% confidence interval (CI) 0.92-0.96, n = 178,686; incidence rate ratio (IRR) 0.99, 95%CI 0.76-1.27, n = 246) and emergency department (ED) presentations (moderate certainty evidence; high versus low continuity HR 0.90, 95%CI 0.89-0.92, n = 178,686; IRR 0.91, 95%CI 0.72-1.15, n = 246) for older community-dwelling aged care recipients. The benefit of providing on-site primary care for relational continuity in residential settings is uncertain (low certainty evidence, 2 studies, n = 2,468 plus 15 care homes); whilst there are probably lower hospitalisations and may be fewer ED presentations, there may also be an increase in reported mortality and falls. The benefit of general practitioners' visits during hospital admission is uncertain (very low certainty evidence, 1 study, n = 335). CONCLUSION: Greater relational continuity with a primary care physician probably reduces hospitalisations and ED presentations for community-dwelling aged care recipients, thus policy initiatives that increase continuity may have cost offsets. Further studies of approaches to increase relational continuity of primary care within aged care, particularly in residential settings, are needed. REVIEW REGISTRATION: CRD42021215698.

Impact of a prospective feedback loop on care review activities in older patients at the end of life. A stepped-wedge randomised trial.

BACKGROUND: Hospitalisation rates for older people are increasing, with end-of-life care becoming a more medicalised experience. Innovative approaches are warranted to support early identification of the end-of-life phase, communicate prognosis, provide care consistent with people's preferences, and improve the use of healthcare resources. The Intervention for Appropriate Care and Treatment (InterACT) trial aimed to increase appropriate care and treatment decisions for older people at the end of life, through implementation of a prospective feedback loop. This paper reports on the care review outcomes. METHODS: A stepped-wedge randomised controlled trial was conducted in three large acute hospitals in Queensland, Australia between May 2020 and June 2021. The trial identified older people nearing the end of life using two validated tools for detecting deterioration and short-term death. Admitting clinical teams were provided with details of patients identified as at-risk with the goal of increasing awareness that end of life was approaching to facilitate appropriate patient centred care and avoid non-beneficial treatment. We examined the time between when the patient was identified as 'at-risk' and three outcomes: clinician-led care review discussions, review of care directive measures and palliative care referrals. These were considered useful indicators of appropriate care at the end of life. RESULTS: In two hospitals there was a reduction in the review of care directive measures during the intervention compared with usual care at 21 days (reduced probability of - 0.08; 95% CI: - 0.12 to - 0.04 and - 0.14; 95% CI: - 0.21 to - 0.06). In one hospital there was a large reduction in clinician-led care review discussions at 21 days during the intervention (reduced probability of - 0.20; 95% CI: - 0.28 to - 0.13). There was little change in palliative care referrals in any hospital, with average probability differences at 21 days of - 0.01, 0.02 and 0.04. DISCUSSION: The results are disappointing as an intervention designed to improve care of hospitalised older people appeared to have the opposite effect on care review outcomes. The reasons for this may be a combination of the intervention design and health system challenges due to the pandemic that highlight the complexity of providing more appropriate care at the end of life. TRIAL REGISTRATION: Australia New Zealand Clinical Trial Registry, ACTRN12619000675123 (registered 6 May 2019).

Understanding how and under what circumstances decision coaching works for people making healthcare decisions: a realist review.

BACKGROUND: Decision coaching is non-directive support delivered by a trained healthcare provider to help people prepare to actively participate in making healthcare decisions. This study aimed to understand how and under what circumstances decision coaching works for people making healthcare decisions. METHODS: We followed the realist review methodology for this study. This study was built on a Cochrane systematic review of the effectiveness of decision coaching interventions for people facing healthcare decisions. It involved six iterative steps: (1) develop the initial program theory; (2) search for evidence; (3) select, appraise, and prioritize studies; (4) extract and organize data; (5) synthesize evidence; and (6) consult stakeholders and draw conclusions. RESULTS: We developed an initial program theory based on decision coaching theories and stakeholder feedback. Of the 2594 citations screened, we prioritized 27 papers for synthesis based on their relevance rating. To refine the program theory, we identified 12 context-mechanism-outcome (CMO) configurations. Essential mechanisms for decision coaching to be initiated include decision coaches', patients', and clinicians' commitments to patients' involvement in decision making and decision coaches' knowledge and skills (four CMOs). CMOs during decision coaching are related to the patient (i.e., willing to confide, perceiving their decisional needs are recognized, acquiring knowledge, feeling supported), and the patient-decision coach interaction (i.e., exchanging information, sharing a common understanding of patient's values) (five CMOs). After decision coaching, the patient's progress in making or implementing a values-based preferred decision can be facilitated by the decision coach's advocacy for the patient, and the patient's deliberation upon options (two CMOs). Leadership support enables decision coaches to have access to essential resources to fulfill their role (one CMOs). DISCUSSION: In the refined program theory, decision coaching works when there is strong leadership support and commitment from decision coaches, clinicians, and patients. Decision coaches need to be capable in coaching, encourage patients' participation, build a trusting relationship with patients, and act as a liaison between patients and clinicians to facilitate patients' progress in making or implementing an informed values-based preferred option. More empirical studies, especially qualitative and process evaluation studies, are needed to further refine the program theory.

A stepped-wedge randomised controlled trial assessing the implementation, effectiveness and cost-consequences of the EDDIE+ hospital avoidance program in 12 residential aged care homes: study protocol.

BACKGROUND: Older people living in residential aged care homes experience frequent emergency transfers to hospital. These events are associated with risks of hospital acquired complications and invasive treatments or interventions. Evidence suggests that some hospital transfers may be unnecessary or avoidable. The Early Detection of Deterioration in Elderly residents (EDDIE) program is a multi-component intervention aimed at reducing unnecessary hospital admissions from residential aged care homes by empowering nursing and care staff to detect and manage early signs of resident deterioration. This study aims to implement and evaluate the program in a multi-site randomised study in Queensland, Australia. METHODS: A stepped-wedge randomised controlled trial will be conducted at 12 residential aged care homes over 58 weeks. The program has four components: education and training, decision support tools, diagnostic equipment, and implementation facilitation with clinical systems support. The integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework will be used to guide the program implementation and process evaluation. The primary outcome measure will be the number of hospital bed days used by residents, with secondary outcomes assessing emergency department transfer rates, admission rates, length of stay, family awareness and experience, staff self-efficacy and costs of both implementation and health service use. A process evaluation will assess the extent and fidelity of program implementation, mechanisms of impact and the contextual barriers and enablers. DISCUSSION: The intervention is expected to improve outcomes by reducing unnecessary hospital transfers. Fewer hospital transfers and admissions will release resources for other patients with potentially greater needs. Residential aged care home staff might benefit from feelings of empowerment in their ability to proactively manage early signs of resident deterioration. The process evaluation will be useful for supporting wider implementation of this intervention and other similar initiatives. TRIAL REGISTRATION: The trial is prospectively registered with the Australia New Zealand Clinical Trial Registry ( ACTRN12620000507987 , registered 23/04/2020).

Factors influencing nurses' intention to work in the oncology specialty: multi-institutional cross-sectional study.

BACKGROUND: Nursing care for terminally ill cancer patients is routinely provided by oncology nurses in Saudi Arabia. Shortages and retention of oncology nurses is an important concern for healthcare leaders. OBJECTIVES: To identify and describe predictors of nurses' intention toward working in the oncology specialty amongst three groups: undergraduate nursing students, oncology registered nurses and postgraduate oncology nursing students. In particular, the study sought to analyse association between individual characteristics, job-related factors, palliative care knowledge, attitude toward caring for dying patients, general self-efficacy, job satisfaction and intention to work in oncology. METHODS: A cross-sectional study was conducted involving 477 participants in five major hospitals in Saudi Arabia. The Palliative Care Quiz for Nursing, Frommelt Attitudes Toward Care of the Dying Scale, General Self-Efficacy Scale and Minnesota Satisfaction Questionnaire short form were used for data collection. Multilevel logistic regression analysis was used to identify predictors associated with intention to work in oncology. RESULTS: 43.9% (n = 208) of the sample reported an intention to work in oncology. Only one variable was a significant predictor of intention to work in oncology across all three groups studied: a more positive attitude toward caring for dying patients (Odds ratio (OR) = 1.09 [95% confidence interval (CI) 1.04-1.16]), (OR = 1.08 [95% CI 1.04-1.12]), (OR = 1.078 [95% CI 1.053-1.103] with P ≤ 0.001 for undergraduate, registered and postgraduate groups respectively. At post-graduate level, higher levels of palliative care knowledge and general self-efficacy were significantly associated with increased intention, whilst at undergraduate level, general self-efficacy was a significant predictor. Job satisfaction was a significant predictor of intention amongst registered nurses. CONCLUSIONS: Attitude toward caring for dying patients and general self-efficacy appear to be the most important predictors of intention to work in the oncology nursing specialty. However, the significance of influencing factors varied between the different groups of nurses studied. Perhaps surprisingly, palliative care knowledge was an influential factor amongst the postgraduate group only. The study results provide important insights for nursing leaders and policymakers in Saudi Arabia to inform the future planning of nursing workforce strategies to address shortages and retention of oncology nurses.

How nursing leaders promote evidence-based practice implementation at point-of-care: A four-country exploratory study.

AIMS: To describe strategies nursing leaders use to promote evidence-based practice implementation at point-of-care using data from health systems in Australia, Canada, England and Sweden. DESIGN: A descriptive, exploratory case-study design based on individual interviews using deductive and inductive thematic analysis and interpretation. METHODS: Fifty-five nursing leaders from Australia, Canada, England and Sweden were recruited to participate in the study. Data were collected between September 2015 and April 2016. RESULTS: Nursing leaders both in formal managerial roles and enabling roles across four country jurisdictions used similar strategies to promote evidence-based practice implementation. Nursing leaders actively promote evidence-based practice implementation, work to influence evidence-based practice implementation processes and integrate evidence-based practice implementation into everyday policy and practices. CONCLUSION: The deliberative, conscious strategies nursing leaders used were consistent across country setting, context and clinical area. These strategies were based on a series of activities and interventions around promoting, influencing and integrating evidence-based practice implementation. We conjecture that these three key strategies may be linked to two overarching ways of demonstrating effective evidence-based practice implementation leadership. The two overarching modes are described as mediating and adapting modes, which reflect complex, dynamic, relationship-focused approaches nursing leaders take towards promoting evidence-based practice implementation. IMPACT: This study explored how nursing leaders promote evidence-based practice implementation. Acknowledging and respecting the complex work of nursing leaders in promoting evidence-based practice implementation through mediating and adapting modes of activity is necessary to improve patient outcomes and system effectiveness.

Factors influencing self-management of adults living with HIV on antiretroviral therapy in Northwest Ethiopia: a cross-sectional study.

BACKGROUND: Effective self-management is an important consideration for adults living with HIV on therapy to enable people to maintain their health and well-being whilst living with chronic HIV. Although numerous attempts have been made to implement and improve HIV self-management practice, there is limited evidence on effective self-management strategies, particularly in sub-Saharan Africa. This study aimed to identify the level and factors influencing the self-management practice of adults living with HIV on antiretroviral therapy. METHODS: A cross-sectional survey was conducted on a sample of 415 adults living with HIV on antiretroviral therapy at a major referral hospital in Northwest Ethiopia using convenience sampling. A theory of self-management - the Individual and Family Self-Management Theory - guided the study design, analysis and presentation of the data. A face-to-face survey tool was administered for data collection, and the data were entered and analyzed using SPSS version 25.0. RESULTS: Over half (58.1%) of the respondents were female. Many of the respondents did not know their HIV stage (76.9%) but reported adequate knowledge of their treatment (79.5%). The mean self-management score was 1.94+ 0.22 out of a total score of 3. Female gender was associated with decreased self-management. Contextual factors (gender, educational level, job status, income, living in a rural area, and awareness of HIV stage) explained 8.2% of the variance in self-management. The explanatory power increased by 9.2% when self-management process variables (self-efficacy, setting a goal, knowledge of antiretroviral therapy, HIV disclosure, and use of reminders) were added. Intervention-focused variables (encouraging disclosure and adherence support) increased the proportion of explained variance by 2.3%. CONCLUSIONS: The findings of the study indicate that the level of self-management practice amongst the population studied was low compared to international literature. Our study findings support the theoretical model and previously identified factors influencing HIV self-management. The most important predictors of lower self-management practice in Ethiopia were female gender, illiteracy, lack of awareness of HIV stage, low self-efficacy, absence of reminders, lack of encouragement to disclose and absence of adherence support. HIV care providers should seek ways to empower and support adults living with HIV to self-manage, particularly through enhancing self-efficacy and encouraging the use of reminders.

A stepped-wedge randomised-controlled trial assessing the implementation, impact and costs of a prospective feedback loop to promote appropriate care and treatment for older patients in acute hospitals at the end of life: study protocol.

BACKGROUND: Hospitalisation rates for the older population have been increasing with end-of-life care becoming a more medicalised and costly experience. There is evidence that some of these patients received non-beneficial treatment during their final hospitalisation with a third of the non-beneficial treatment duration spent in intensive care units. This study aims to increase appropriate care and treatment decisions and pathways for older patients at the end of life in Australia. This study will implement and evaluate a prospective feedback loop and tailored clinical response intervention at three hospitals in Queensland, Australia. METHODS: A stepped-wedge cluster randomised trial will be conducted with up to 21 clinical teams in three acute hospitals over 70 weeks. The study involves clinical teams providing care to patients aged 75 years or older, who are prospectively identified to be at risk of non-beneficial treatment using two validated tools for detecting death and deterioration risks. The intervention's feedback loop will provide the teams with a summary of these patients' risk profiles as a stimulus for a tailored clinical response in the intervention phase. The Consolidated Framework for Implementation Research will be used to inform the intervention's implementation and process evaluation. The study will determine the impact of the intervention on patient outcomes related to appropriate care and treatment at the end of life in hospitals, as well as the associated healthcare resource use and costs. The primary outcome is the proportion of patients who are admitted to intensive care units. A process evaluation will be carried out to assess the implementation, mechanisms of impact, and contextual barriers and enablers of the intervention. DISCUSSION: This intervention is expected to have a positive impact on the care of older patients near the end of life, specifically to improve clinical decision-making about treatment pathways and what constitutes appropriate care for these patients. These will reduce the incidence of non-beneficial treatment, and improve the efficiency of hospital resources and quality of care. The process evaluation results will be useful to inform subsequent intervention implementation at other hospitals. TRIAL REGISTRATION: Australia New Zealand Clinical Trial Registry (ANZCTR), ACTRN12619000675123p (approved 6 May 2019).