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

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).

Mobile X-ray services in nursing homes as an enabler to healthcare-in-place for residents: informal carers' views

BACKGROUND

Informal carers (ICs) of residents living in nursing homes (NH) have a key role in the care of residents, including making decisions about and providing care. As radiology has a role in decision making about care, it is important to understand IC's perspectives about resident's use of mobile X-ray services (MXS). The aim was to explore the perspectives of ICs of residents living in nursing homes about the use of MXS.

METHODS

From November 2020 to February 2021, twenty ICs of residents living in four nursing homes in different areas of one Australian city participated. Their perspectives of MXS, including benefits and barriers, were explored in semi-structured interviews. Data were analysed using thematic analysis.

RESULTS

ICs were resident's children (80%) and spouses (20%). One resident had received a MXS. Four themes were developed: (1) a priority for resident well-being, where ICs were positive about using MXS, because residents could receive healthcare without transfer; (2) MXS could reduce carer burden; (3) economic considerations, where MXS could reduce health system burden but the MXS call-out fee could result in health inequities; and (4) pathways to translation, including the need to improve consumer awareness of MXS, ensure effective processes to using MXS,, consider nursing home staff levels to manage MXS and ICs expectations about quality and availability of MXS.

CONCLUSIONS

ICs consider MXS can benefit resident well-being by potentially reducing transfers to hospital or radiology facilities and advocated equitable access. ICs cautioned that the quality and safety of healthcare delivered in nursing homes should equal what they would receive in hospitals.

Protocol for a process evaluation of a stepped wedge randomised controlled trial to reduce unnecessary hospitalisations of older people from residential aged care: the EDDIE+ study

INTRODUCTION

The Early Detection of Deterioration in Elderly residents (EDDIE+) programme is a theory-informed, multi-component intervention aimed at upskilling and empowering nursing and personal care staff to identify and manage early signs of deterioration in residents of aged care facilities. The intervention aims to reduce unnecessary hospital admissions from residential aged care (RAC) homes. Alongside a stepped wedge randomised controlled trial, an embedded process evaluation will be conducted to assess the fidelity, acceptability, mechanisms of action and contextual barriers and enablers of the EDDIE+ intervention.

METHODS AND ANALYSIS

Twelve RAC homes in Queensland, Australia are participating in the study. A comprehensive mixed-methods process evaluation, informed by the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework, will assess intervention fidelity, contextual barriers and enablers, mechanisms of action, and the acceptability of the programme from various stakeholder perspectives. Quantitative data will be collected prospectively from project documentation, including baseline context mapping of participating sites, activity tracking and regular check-in communication sheets. Qualitative data will be collected postintervention via semi-structured interviews with a range of stakeholder groups. The i-PARIHS constructs of innovation, recipients, context and facilitation will be applied to frame the analysis of quantitative and qualitative data.

ETHICS AND DISSEMINATION

Ethical approval for this study has been granted by the Bolton Clarke Human Research Ethics Committee (approval number: 170031) with administrative ethical approval granted by the Queensland University of Technology University Human Research Ethics Committee (2000000618). Full ethical approval includes a waiver of consent for access to residents' demographic, clinical and health services de-identified data. A separate health services data linkage based on RAC home addresses will be sought through a Public Health Act application. Study findings will be disseminated through multiple channels, including journal publications, conference presentations and interactive webinars with a stakeholder network.

TRIAL REGISTRATION NUMBER

Australia New Zealand Clinical Trial Registry (ACTRN12620000507987).

Around the EQUATOR with clinician-scientists transdisciplinary aging research (Clin-STAR) principles: Implementation science challenges and opportunities

The Institute of Medicine and the National Institute on Aging increasingly understand that knowledge alone is necessary but insufficient to improve healthcare outcomes. Adapting the behaviors of clinicians, patients, and stakeholders to new standards of evidence-based clinical practice is often significantly delayed. In response, over the past twenty years, Implementation Science has developed as the study of methods and strategies that facilitate the uptake of evidence-based practice into regular use by practitioners and policymakers. One important advance in Implementation Science research was the development of Standards for Reporting Implementation Studies (StaRI), which provided a 27-item checklist for researchers to consistently report essential elements of the implementation and intervention strategies. Using StaRI as a framework, this review discusses specific Implementation Science challenges for research with older adults, provides solutions for those obstacles, and opportunities to improve the value of this evolving approach to reduce the knowledge translation losses that exist between published research and clinical practice.

Detecting Acute Deterioration in Older Adults Living in Residential Aged Care: A Scoping Review

OBJECTIVES

To explore models, processes, or tools implemented in residential aged care (RAC) to support registered nurses (RNs) to identify and respond to the acute deterioration of residents.

DESIGN

Scoping literature review of English Language articles published in peer reviewed journals.

SETTINGS AND PARTICIPANTS

Studies were conducted in RAC facilities providing long-term 24-hour medical, nursing, and social care for people age 65 years or older with age-related disability.

METHODS

We completed a MESH term and key word search of MEDLINE, Embase, CINAHL, PubMed, and Google Scholar. Included studies had (1) part of the intervention based in RAC; (2) had a direct impact on RAC day to day practice; and (3) contained or provided access to the detail of the intervention. Data was charted by author, date, country, study design and the components, genesis, and efficacy of the methods used to identify and respond to acute deterioration.

RESULTS

We found 46 studies detailing models of care, clinical patterns of acute deterioration, and deterioration detection tools. It was not possible to determine which element of the models care had the greatest impact on RN decision making. The clinical patterns of acute deterioration painted a picture of acute deterioration in the frail. There was limited evidence to support the use of existing deterioration detection tools in the RAC population.

CONCLUSION AND IMPLICATIONS

We found no straight forward systematic method to support RAC RNs to identify and respond to the acute deterioration of residents. This is an important practice gap. The clinical pattern of acute deterioration described in the literature has the potential to be used for the development of a tool to support RAC RNs to identify and respond to the acute deterioration of residents.

Time–motion analysis of external facilitation for implementing the Collaborative Chronic Care Model in general mental health clinics: Use of an interval-based data collection approach

Background: Facilitation is an effective strategy to implement evidence-based practices, often involving external facilitators (EFs) bringing content expertise to implementation sites. Estimating time spent on multifaceted EF activities is complex. Furthermore, collecting continuous time–motion data for facilitation tasks is challenging. However, organizations need this information to allocate implementation resources to sites. Thus, our objectives were to conduct a time–motion analysis of external facilitation, and compare continuous versus noncontinuous approaches to collecting time–motion data. Methods: We analyzed EF time–motion data from six VA mental health clinics implementing the evidence-based Collaborative Chronic Care Model (CCM). We documented EF activities during pre-implementation (4–6 weeks) and implementation (12 months) phases. We collected continuous data during the pre-implementation phase, followed by data collection over a 2-week period (henceforth, “a two-week interval”) at each of three time points (beginning/middle/end) during the implementation phase. As a validity check, we assessed how closely interval data represented continuous data collected throughout implementation for two of the sites. Results: EFs spent 21.8 ± 4.5 h/site during pre-implementation off-site, then 27.5 ± 4.6 h/site site-visiting to initiate implementation. Based on the 2-week interval data, EFs spent 2.5 ± 0.8, 1.4 ± 0.6, and 1.2 ± 0.6 h/week toward the implementation’s beginning, middle, and end, respectively. Prevalent activities were preparation/planning, process monitoring, program adaptation, problem identification, and problem-solving. Across all activities, 73.6% of EF time involved email, phone, or video communication. For the two continuous data sites, computed weekly time averages toward the implementation’s beginning, middle, and end differed from the interval data’s averages by 1.0, 0.1, and 0.2 h, respectively. Activities inconsistently captured in the interval data included irregular assessment, stakeholder engagement, and network development. Conclusions: Time–motion analysis of CCM implementation showed initial higher-intensity EF involvement that tapered. The 2-week interval data collection approach, if accounting for its potential underestimation of irregular activities, may be promising/efficient for implementation studies collecting time–motion data.