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Deimplementation is the discontinuation or abandonment of medical practices that are ineffective or of unclear effectiveness, ranging from simply unhelpful to harmful. With epidemiology expanding to include more translational sciences, epidemiologists can contribute to deimplementation through defining evidence, establishing causality, and advising on study design. An estimated 10-30% of healthcare practices have minimal to no benefit to patients and should be targeted for deimplementation. The steps in deimplementation are: 1) identify low-value clinical practices, 2) facilitate the deimplementation process, 3) evaluate deimplementation outcomes, and 4) sustain deimplementation, each of which is a complex project. Deimplementation science involves researchers, healthcare and clinical stakeholders, and patient and community partners affected by the medical practice. Increasing collaboration between epidemiologists and implementation scientists is important to optimizing health care delivery.

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AIM: To explore barriers and facilitators for reducing low-value home-based nursing care. DESIGN: Qualitative exploratory study. METHOD: Seven focus group interviews and two individual interviews were conducted with homecare professionals, managers and quality improvement staff members within seven homecare organizations. Data were deductively analysed using the Tailored Implementation for Chronic Diseases checklist. RESULTS: Barriers perceived by homecare professionals included lack of knowledge and skills, such as using care aids, interactions between healthcare professionals and general practitioners creating expectations among clients. Facilitators perceived included reflecting on provided care together with colleagues, clearly communicating agreements and expectations towards clients. Additionally, clients' and relatives' behaviour could potentially hinder reduction. In contrast, clients' motivation to be independent and involving relatives can promote reduction. Lastly, non-reimbursement and additional costs of care aids were perceived as barriers. Support from organization and management for the reduction of care was considered as facilitator. CONCLUSION: Understanding barriers and facilitators experienced by homecare professionals in reducing low-value home-based nursing care is crucial. Enhancing knowledge and skills, fostering cross-professional collaboration, involving relatives and motivating clients' self-care can facilitate reduction of low-value home-based nursing care. Implications for profession and patient care: De-implementing low-value home-based nursing care offers opportunities for more appropriate care and inclusion of clients on waitlists. IMPACT: Addressing barriers with tailored strategies can successfully de-implement low-value home-based nursing care. REPORTING METHOD: The Consolidated Criteria for Reporting Qualitative Research checklist was used. No patient or public contribution.

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BACKGROUND: Reducing low-value care (LVC) is crucial to improve the quality of patient care while increasing the efficient use of scarce healthcare resources. Recently, strategies to de-implement LVC have been mapped against the Expert Recommendation for Implementing Change (ERIC) compilation of strategies. However, such strategies' effectiveness across different healthcare practices has not been addressed. This overview of systematic reviews aimed to investigate the effectiveness of de-implementation initiatives and specific ERIC strategy clusters. METHODS: We searched MEDLINE (Ovid), Epistemonikos.org and Scopus (Elsevier) from 1 January 2010 to 17 April 2023 and used additional search strategies to identify relevant systematic reviews (SRs). Two reviewers independently screened abstracts and full texts against a priori-defined criteria, assessed the SR quality and extracted pre-specified data. We created harvest plots to display the results. RESULTS: Of 46 included SRs, 27 focused on drug treatments, such as antibiotics or opioids, twelve on laboratory tests or diagnostic imaging and seven on other healthcare practices. In categorising de-implementation strategies, SR authors applied different techniques: creating self-developed strategies (n = 12), focussing on specific de-implementation strategies (n = 14) and using published taxonomies (n = 12). Overall, 15 SRs provided evidence for the effectiveness of de-implementation interventions to reduce antibiotic and opioid utilisation. Reduced utilisation, albeit inconsistently significant, was documented in the use of antipsychotics and benzodiazepines, as well as in laboratory tests and diagnostic imaging. Strategies within the adapt and tailor to context, develop stakeholder interrelationships, and change infrastructure and workflow ERIC clusters led to a consistent reduction in LVC practices. CONCLUSION: De-implementation initiatives were effective in reducing medication usage, and inconsistent significant reductions were observed for LVC laboratory tests and imaging. Notably, de-implementation clusters such as change infrastructure and workflow and develop stakeholder interrelationships emerged as the most encouraging avenues. Additionally, we provided suggestions to enhance SR quality, emphasising adherence to guidelines for synthesising complex interventions, prioritising appropriateness of care outcomes, documenting the development process of de-implementation initiatives and ensuring consistent reporting of applied de-implementation strategies. REGISTRATION: OSF Open Science Framework 5ruzw.

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BACKGROUND: /Aims De-implementation, including the removal or reduction of unnecessary or inappropriate prescribing, is crucial to ensure patients receive appropriate evidence-based health care. The utilization of de-implementation efforts is contingent on the quality of strategy reporting. To further understand effective ways to de-implement medical practices, specification of behavioural targets and components of de-implementation strategies are required. This paper aims to critically analyse how well the behavioural targets and strategy components, in studies that focused on de-implementing unnecessary or inappropriate prescribing in secondary healthcare settings, were reported. METHODS: A supplementary analysis of studies included in a recently published review of de-implementation studies was conducted. Article text was coded verbatim to two established specification frameworks. Behavioural components were coded deductively to the five elements of the Action, Actor, Context, Target, Time (AACTT) framework. Strategy components were mapped to the nine elements of the Proctor's 'measuring implementation strategies' framework. RESULTS: The behavioural components of low-value prescribing, as coded to the AACTT framework, were generally specified well. However, the Actor and Time components were often vague or not well reported. Specification of strategy components, as coded to the Proctor framework, were less well reported. Proctor's Actor, Action target: specifying targets, Dose and Justification elements were not well reported or varied in the amount of detail offered. We also offer suggestions of additional specifications to make, such as the 'interactions' participants have with a strategy. CONCLUSION: Specification of behavioural targets and components of de-implementation strategies for prescribing practices can be accommodated by the AACTT and Proctor frameworks when used in conjunction. These essential details are required to understand, replicate and successfully de-implement unnecessary or inappropriate prescribing. In general, standardisation in the reporting quality of these components is required to replicate any de-implementation efforts. TRIAL REGISTRATION: Not registered.

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BACKGROUND: Substantial overuse of health care services is identified and intensified efforts are incited to reduce low-value services in general and in imaging in particular. OBJECTIVE: To report crucial success factors for developing and implementing interventions to reduce specific low-value imaging examinations based on a case study in Norway. MATERIALS AND METHODS: Mixed methods design including one systematic review, one scoping review, implementation science, qualitative interviews, content analysis of stakeholders' input, and stakeholder deliberations. RESULTS: The description and analysis of an intervention to reduce low-value imaging in Norway identifies six general success factors: 1) Acknowledging complexity: advanced knowledge synthesis, competence of the context, and broad and strong stakeholder involvement is crucial to manage de-implementation complexity. 2) Clear consensus-based criteria for selecting low-value imaging procedures are key. 3) Having a clear target group is critical. 4) Stakeholder engagement is essential to ascertain intervention relevance and compliance. 5) Active and well-motivated intervention collaborators is imperative. 6) Paying close attention to the mechanisms of low-value imaging and the barriers to reduce it is decisive. CONCLUSION: Reducing low-value imaging is crucial to increase the quality, safety, efficiency, and sustainability of the health services. Reducing low-value imaging is a complex task and paying attention to specific practical success factors is key.

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BACKGROUND: Antibiotics are globally overprescribed for the treatment of upper respiratory tract infections (URTI), especially in persons living with HIV. However, most URTIs are caused by viruses, and antibiotics are not indicated. De-implementation is perceived as an important area of research that can lead to reductions in unnecessary, wasteful, or harmful practices, such as excessive or inappropriate antibiotic use for URTI, through the employment of evidence-based interventions to reduce these practices. Research into strategies that lead to successful de-implementation of unnecessary antibiotic prescriptions within the primary health care setting is limited in Mozambique. In this study, we propose a protocol designed to evaluate the use of a clinical decision support algorithm (CDSA) for promoting the de-implementation of unnecessary antibiotic prescriptions for URTI among ambulatory HIV-infected adult patients in primary healthcare settings. METHODS: This study is a multicenter, two-arm, cluster randomized controlled trial, involving six primary health care facilities in Maputo and Matola municipalities in Mozambique, guided by an innovative implementation science framework, the Dynamic Adaption Process. In total, 380 HIV-infected patients with URTI symptoms will be enrolled, with 190 patients assigned to both the intervention and control arms. For intervention sites, the CDSAs will be posted on either the exam room wall or on the clinician´s exam room desk for ease of reference during clinical visits. Our sample size is powered to detect a reduction in antibiotic use by 15%. We will evaluate the effectiveness and implementation outcomes and examine the effect of multi-level (sites and patients) factors in promoting the de-implementation of unnecessary antibiotic prescriptions. The effectiveness and implementation of our antibiotic de-implementation strategy are the primary outcomes, whereas the clinical endpoints are the secondary outcomes. DISCUSSION: This research will provide evidence on the effectiveness of the use of the CDSA in promoting the de-implementation of unnecessary antibiotic prescribing in treating acute URTI, among ambulatory HIV-infected patients. Findings will bring evidence for the need to scale up strategies for the de-implementation of unnecessary antibiotic prescription practices in additional healthcare sites within the country. TRIAL REGISTRATION: ISRCTN, ISRCTN88272350. Registered 16 May 2024, https://www.isrctn.com/ISRCTN88272350.

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BACKGROUND: Despite national guidelines recommending omission of sentinel lymph node biopsy (SLNB) and post-lumpectomy radiotherapy (RT) in older women with early-stage, hormone receptor-positive (HR+) breast cancer, these practices persist. This pilot study assesses whether a decision aid can target patient-level determinants of low-value treatments. METHODS: We adapted and pilot-tested a decision aid in women ≥70 years old with early-stage HR â€‹+ â€‹breast cancer. Primary outcomes included acceptability and appropriateness of the decision aid. Secondary outcomes included treatment choice and satisfaction with decision. RESULTS: Twenty-three patients enrolled in the trial. 19 completed survey one; 16 completed survey two. Primary outcomes demonstrated that 84% of patients agreed or strongly agreed the aid was acceptable and appropriate. Secondary outcomes demonstrated that 19% of patients underwent SLNB (below pre-intervention baseline), and 85% received adjuvant RT (change not statistically significant). CONCLUSIONS: We demonstrate that a decision aid may effectively target patient-level factors contributing to overuse of low-value therapies.

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Globally, the nursing profession constitutes the largest proportion of the health workforce; however, it is challenged by widespread workforce shortages relative to need. Strategies to promote recruitment of the nursing workforce are well-established, with a lesser focus on strategies to alleviate the burden on the existing workforce. This burden may be exacerbated by the impact of low-value health care, characterised as health care that provides little or no benefit for patients, or has the potential to cause harm. Low-value health care is a global problem, a major contributor to the waste of healthcare resources, and a key focus of health system reform. Evidence of variation in low-value health care has been identified across countries and system levels. Research on low-value health care has largely focused on the medical profession, with a paucity of research examining either low-value health care or the de-implementation of low-value health care from a nursing perspective. The objective of this paper is to provide a scholarly discussion of the literature around low-value health care and de-implementation, with the purpose of identifying implications for nursing research. With increasing pressures on the global nursing workforce, research identifying low-value health care and developing approaches to de-implement this care, is crucial.

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BACKGROUND: Healthcare costs are rising worldwide. At the same time, a considerable proportion of care does not benefit or may even be harmful to patients. We aimed to explore attitudes towards low-value care and identify the most important barriers to the de-implementation of low-value care use in primary care in high-income countries. METHODS: Between May and June 2022, we email surveyed primary care physicians in six high-income countries (Austria, Finland, Greece, Italy, Japan, and Sweden). Physician respondents were eligible if they had worked in primary care during the previous 24 months. The survey included four sections with categorized questions on (1) background information, (2) familiarity with Choosing Wisely recommendations, (3) attitudes towards overdiagnosis and overtreatment, and (4) barriers to de-implementation, as well as a section with open-ended questions on interventions and possible facilitators for de-implementation. We used descriptive statistics to present the results. RESULTS: Of the 16,935 primary care physicians, 1,731 answered (response rate 10.2%), 1,505 had worked in primary care practice in the last 24 months and were included in the analysis. Of the respondents, 53% had read Choosing Wisely recommendations. Of the respondents, 52% perceived overdiagnosis and 50% overtreatment as at least a problem to some extent in their own practice. Corresponding figures were 85% and 81% when they were asked regarding their country's healthcare. Respondents considered patient expectations (85% answered either moderate or major importance), patient's requests for treatments and tests (83%), fear of medical error (81%), workload/lack of time (81%), and fear of underdiagnosis or undertreatment (79%) as the most important barriers for de-implementation. Attitudes and perceptions of barriers differed significantly between countries. CONCLUSIONS: More than 80% of primary care physicians consider overtreatment and overdiagnosis as a problem in their country's healthcare but fewer (around 50%) in their own practice. Lack of time, fear of error, and patient pressures are common barriers to de-implementation in high-income countries and should be acknowledged when planning future healthcare. Due to the wide variety of barriers to de-implementation and differences in their importance in different contexts, understanding local barriers is crucial when planning de-implementation strategies.

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BACKGROUND: Many men with prostate cancer will be exposed to androgen deprivation therapy (ADT). While evidence-based ADT use is common, ADT is also used in cases with no or limited evidence resulting in more harm than benefit, i.e., overuse. Since there are risks of ADT (e.g., diabetes, osteoporosis), it is important to understand the behaviors facilitating overuse to inform de-implementation strategies. For these reasons, we conducted a theory-informed survey study, including a discrete choice experiment (DCE), to better understand ADT overuse and provider preferences for mitigating overuse. METHODS: Our survey used the Action, Actor, Context, Target, Time (AACTT) framework, the Theoretical Domains Framework (TDF), the Capability, Opportunity, Motivation-Behavior (COM-B) Model, and a DCE to elicit provider de-implementation strategy preferences. We surveyed the Society of Government Service Urologists listserv in December 2020. We stratified respondents based on the likelihood of stopping overuse as ADT monotherapy for localized prostate cancer ("yes"/"probably yes," "probably no"/"no"), and characterized corresponding Likert scale responses to seven COM-B statements. We used multivariable regression to identify associations between stopping ADT overuse and COM-B responses. RESULTS: Our survey was completed by 84 respondents (13% response rate), with 27% indicating "probably no"/"no" to stopping ADT overuse. We found differences across respondents who said they would and would not stop ADT overuse in demographics and COM-B statements. Our model identified 2 COM-B domains (Opportunity-Social, Motivation-Reflective) significantly associated with a lower likelihood of stopping ADT overuse. Our DCE demonstrated in-person communication, multidisciplinary review, and medical record documentation may be effective in reducing ADT overuse. CONCLUSIONS: Our study used a behavioral theory-informed survey, including a DCE, to identify behaviors and context underpinning ADT overuse. Specifying behaviors supporting and gathering provider preferences in addressing ADT overuse requires a stepwise, stakeholder-engaged approach to support evidence-based cancer care. From this work, we are pursuing targeted improvement strategies. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03579680.

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Background: Fecal occult blood tests (FOBT) are inappropriately used in patients with melena, hematochezia, coffee ground emesis, iron deficiency anemia, and diarrhea. The use of FOBT for reasons other than screening for colorectal cancer is considered low-value and unnecessary. Methods: Quality Improvement Project that utilized education, Best Practice Advisory (BPA) and modification of order sets in the electronic health record (EHR). The interventions were done in a sequential order based on the Plan-Do-Study-Act (PDSA) method. An annotated run chart was used to analyze the collected data. Results: Education and Best Practice Advisory within the EHR led to significant reduction in the use of FOBT in the ED. The interventions eventually led to a consensus and removal of FOBT from the order set of the EHR for patients in the ED and hospital units. Conclusions: The use of electronic BPA, education and modification of order sets in the EHR can be effective at de-implementing unnecessary tests and procedures like FOBT in the ED and hospital units.

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AIM: To understand and evaluate the uptake and local adaptations of proven targeted implementation interventions that have effectively reduced unnecessary investigations and therapies in infants with bronchiolitis within emergency departments. METHODS: A multi-centred, mixed-methods quality improvement study in four Australian hospitals that provide paediatric emergency and inpatient care from May to December 2021. All hospitals were provided with the same implementation intervention package and training. Real-time tracking logs of adaptions were completed followed by semi-structured interviews. Interviews were recorded, transcribed and subsequently coded using FRAME-IS to further describe the adaptions made. RESULTS: Tracking logs were summarised and data from 12 interviews were compared from participating sites. The intervention resulted in 116 education sessions and a total of 23 adaptations made to educational materials, both content and contextual. Shortening education presentations, addition of bronchiolitis definitions, formatting of materials and novel interventions were the most common modifications. Audit and feedback were completed across all sites with varying utilisation. Targeted teaching was noted to dictate adaptions prior to and during implementation. CONCLUSION: Quantitative and qualitative analysis of clinical 'real-world' adaptations to proven targeted implementation interventions allows invaluable insight for future de-implementation initiatives and national roll-out of implementation packages in the ED setting.

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In contrast to traditional randomized controlled trials, embedded pragmatic clinical trials (ePCTs) are conducted within healthcare settings with real-world patient populations. ePCTs are intentionally designed to align with health system priorities leveraging existing healthcare system infrastructure and resources to ease intervention implementation and increase the likelihood that effective interventions translate into routine practice following the trial. The NIH Pragmatic Trials Collaboratory, funded by the National Institutes of Health (NIH), supports the conduct of large-scale ePCT Demonstration Projects that address major public health issues within healthcare systems. The Collaboratory has a unique opportunity to draw on the Demonstration Project experiences to generate lessons learned related to ePCTs and the dissemination and implementation of interventions tested in ePCTs. In this article, we use case studies from six completed Demonstration Projects to summarize the Collaboratory's experience with post-trial interpretation of results, and implications for sustainment (or de-implementation) of tested interventions. We highlight three key lessons learned. First, ineffective interventions (i.e., ePCT is null for the primary outcome) may be sustained if they have other measured benefits (e.g., secondary outcome or subgroup) or even perceived benefits (e.g., staff like the intervention). Second, effective interventions-even those solicited by the health system and/or designed with significant health system partner buy-in-may not be sustained if they require significant resources. Third, alignment with policy incentives is essential for achieving sustainment and scale-up of effective interventions. Our experiences point to several recommendations to aid in considering post-trial sustainment or de-implementation of interventions tested in ePCTs: (1) include secondary outcome measures that are salient to health system partners; (2) collect all appropriate data to allow for post hoc analysis of subgroups; (3) collect experience data from clinicians and staff; (4) engage policy-makers before starting the trial.

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BACKGROUND: Reducing wasteful practices optimizes value in medicine. Docusate lacks treatment efficacy yet is widely prescribed. This quality improvement project aimed to de-implement docusate in place of a new evidence-based order set. METHODS: This is an ambidirectional study of inpatient laxative orders from 2018 to 2022 â€‹at one institution. We stratified docusate data by service/unit to target prospective deimplementation initiatives. A new evidence-based constipation order set was embedded in Cerner. RESULTS: There were 701,732 docusate orders across 75 services on 68 units. Top docusate ordering services were Trauma, Obstetrics and Hospitalist. Docusate administration rates were higher than for other laxatives. Our efforts reduced docusate orders by 44% over 4 months. PEG and senna orders increased by 58% and 35%. CONCLUSION: Docusate has no efficacy yet is widely prescribed. A structured de-implementation strategy can drive systematic change by leveraging technology and applying multidisciplinary improvement efforts. Our work removed docusate from the inpatient formulary.

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AIMS: To explore potential areas of low-value home-based nursing care practices, their prevalence and related influencing factors of nurses and nursing assistants working in home-based nursing care. DESIGN: A quantitative, cross-sectional design. METHODS: An online survey with questions containing scaled frequencies on five-point Likert scales and open questions on possible related influencing factors of low-value nursing care. The data collection took place from February to April 2022. Descriptive statistics and linear regression were used to summarize and analyse the results. RESULTS: A nationwide sample of 776 certified nursing assistants, registered nurses and nurse practitioners responded to the survey. The top five most delivered low-value care practices reported were: (1) 'washing the client with water and soap by default', (2) 'application of zinc cream, powders or pastes when treating intertrigo', (3) 'washing the client from head to toe daily', (4) 're-use of a urinary catheter bag after removal/disconnection' and (5) 'bladder irrigation to prevent clogging of urinary tract catheter'. The top five related influencing factors reported were: (1) 'a (general) practitioner advices/prescribes it', (2) 'written in the client's care plan', (3) 'client asks for it', (4) 'wanting to offer the client something' and (5) 'it is always done like this in the team'. Higher educational levels and an age above 40 years were associated with a lower provision of low-value care. CONCLUSION: According to registered nurses and certified nursing assistants, a number of low-value nursing practices occurred frequently in home-based nursing care and they experienced multiple factors that influence the provision of low-value care such as (lack of) clinical autonomy and handling clients' requests, preferences and demands. The results can be used to serve as a starting point for a multifaceted de-implementation strategy. REPORTING METHOD: STROBE checklist for cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Nursing care is increasingly shifting towards the home environment. Not all nursing care that is provided is effective or efficient and this type of care can therefore be considered of low-value. Reducing low-value care and increasing appropriate care will free up time, improve quality of care, work satisfaction, patient safety and contribute to a more sustainable healthcare system.

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Implementation science is a nascent field that aims to study the factors that influence the effectiveness of a given clinical intervention, such as the characteristics of the individuals involved, the internal and external settings, the process of implementation, and other factors. Overall, implementation science aims to increase the extent to which an intervention is practiced, and the quality of its delivery to a patient. Although still in its infancy, the applications of implementation science in anesthesiology and cardiothoracic surgery abound. Whether used to adopt novel innovations, avoid the use of obsolete practices, or redeploy existing interventions to improve quality, implementation science holds promise in optimizing how we bring the latest in clinical science to produce tangible benefits to patients and create sustainable change.

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INTRODUCTION: Despite multispecialty recommendations to avoid routine preoperative testing before low-risk surgery, the practice remains common and de-implementation has proven difficult. The goal of this study as to elicit determinants of unnecessary testing before low-risk surgery to inform de-implementation efforts. METHODS: We conducted focused ethnography at a large academic institution, including semi-structured interviews and direct observations at two preoperative evaluation clinics and one outpatient surgery center. Themes were identified through narrative thematic analysis and mapped to a comprehensive and integrated checklist of determinants of practice, the Tailored Implementation for Chronic Diseases framework (TICD). RESULTS: Thirty individuals participated (surgeons, anesthesiologists, primary care physicians, physician assistants, nurses, and medical assistants). Three themes were identified: (1) Shared Values (TICD Social, Political, and Legal Factors), (2) Gaps in Knowledge (TICD Individual Health Professional Factors, Guideline Factors), and (3) Communication Breakdown (TICD Professional Interactions, Incentives and Resources, Capacity for Organizational Change). Shared Values describe core tenets expressed by all groups of clinicians, namely prioritizing patient safety and utilizing evidence-based medicine. Clinicians had Gaps in Knowledge related to existing data and preoperative testing recommendations. Communication Breakdowns within interdisciplinary teams resulted in unnecessary testing ordered to meet perceived expectations of other providers. CONCLUSIONS: Clinicians have knowledge gaps related to preoperative testing recommendations and may be amenable to de-implementation efforts and educational interventions. Consensus guidelines may streamline interdisciplinary communication by clarifying interdisciplinary needs and reducing testing ordered to meet perceived expectations of other clinicians.

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BACKGROUND: Fall prevention alarms are commonly used among US hospitals as a fall prevention strategy despite limited evidence of effectiveness. Further, fall prevention alarms are harmful to healthcare staff (e.g., alarm fatigue) and patients (e.g., sleep disturbance, mobility restriction). There is a need for research to develop and test strategies for reducing use of fall prevention alarms in US hospitals. METHODS: To address this gap, we propose testing the effectiveness and implementation of Alarm with Care, a de-implementation strategy to reduce fall prevention alarm use using a stepped-wedge randomized controlled trial among 30 adult medical or medical surgical units from nonfederal US acute care hospitals. Guided by the Choosing Wisely De-Implementation Framework, we will (1) identify barriers to fall prevention alarm de-implementation and develop tailored de-implementation strategies for each unit and (2) compare the implementation and effectiveness of high- versus low-intensity coaching to support site-specific de-implementation of fall prevention alarms. We will evaluate effectiveness and implementation outcomes and examine the effect of multi-level (e.g., hospital, unit, and patient) factors on effectiveness and implementation. Rate of fall prevention alarm use is the primary outcome. Balancing measures will include fall rates and fall-related injuries. Implementation outcomes will include feasibility, acceptability, appropriateness, and fidelity. DISCUSSION: Findings from this line of research could be used to support scale-up of fall prevention alarm de-implementation in other healthcare settings. Further, research generated from this proposal will advance the field of de-implementation science by determining the extent to which low-intensity coaching is an effective and feasible de-implementation strategy. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT06089239 . Date of registration: October 17, 2023.

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BACKGROUND: Over the past three decades, policy actors and actions have been highly influential in supporting the implementation of evidence-based practices (EBPs) in mental health settings. An early examination of these actions resulted in the Policy Ecology Framework (PEF), which was originally developed as a tactical primer for state and local mental health regulators in the field of child mental health. However, the policy landscape for implementation has evolved significantly since the original PEF was published. An interrogation of the strategies originally proposed in the PEF is necessary to provide an updated menu of strategies to improve our understanding of the mechanisms of policy action and promote system improvement. OBJECTIVES: This paper builds upon the original PEF to address changes in the policy landscape for the implementation of mental health EBPs between 2009 and 2022. We review the current state of policy strategies that support the implementation of EBPs in mental health care and outline key areas for policy-oriented implementation research. Our review identifies policy strategies at federal, state, agency, and organizational levels, and highlights developments in the social context in which EBPs are implemented. Furthermore, our review is organized around some key changes that occurred across each PEF domain that span organizational, agency, political, and social contexts along with subdomains within each area. DISCUSSION: We present an updated menu of policy strategies to support the implementation of EBPs in mental health settings. This updated menu of strategies considers the broad range of conceptual developments and changes in the policy landscape. These developments have occurred across the organizational, agency, political, and social contexts and are important for policymakers to consider in the context of supporting the implementation of EBPs. The updated PEF expands and enhances the specification of policy levers currently available, and identifies policy targets that are underdeveloped (e.g., de-implementation and sustainment) but are becoming visible opportunities for policy to support system improvement. The updated PEF clarifies current policy efforts within the field of implementation science in health to conceptualize and better operationalize the role of policy in the implementation of EBPs.

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BACKGROUND/AIMS: Considerable efforts have been made to improve guideline adherence in healthcare through de-implementation, such as decreasing the prescription of inappropriate medicines. However, we have limited knowledge about the effectiveness, barriers, facilitators and consequences of de-implementation strategies targeting inappropriate medication prescribing in secondary care settings. This review was conducted to understand these factors to contribute to better replication and optimisation of future de-implementation efforts to reduce low-value care. METHODS: A systematic review of randomised control trials was conducted. Papers were identified through CINAHL, EMBASE, MEDLINE and Cochrane register of controlled trials to February 2021. Eligible studies were randomised control trials evaluating behavioural strategies to de-implement inappropriate prescribing in secondary healthcare. Risk of bias was assessed using the Cochrane Risk of Bias tool. Intervention characteristics, effectiveness, barriers, facilitators and consequences were identified in the study text and tabulated. RESULTS: Eleven studies were included, of which seven were reported as effectively de-implementing low-value prescribing. Included studies were judged to be mainly at low to moderate risk for selection biases and generally high risk for performance and reporting biases. The majority of these strategies were clinical decision support at the 'point of care'. Clinical decision support tools were the most common and effective. They were found to be a low-cost and simple strategy. However, barriers such as clinician's reluctance to accept recommendations, or the clinical setting were potential barriers to their success. Educational strategies were the second most reported intervention type however the utility of educational strategies for de-implementation remains varied. Multiple barriers and facilitators relating to the environmental context, resources and knowledge were identified across studies as potentially influencing de-implementation. Various consequences were identified; however, few measured the impact of de-implementation on usual appropriate practice. CONCLUSION: This review offers insight into the intervention strategies, potential barriers, facilitators and consequences that may affect the de-implementation of low-value prescribing in secondary care. Identification of these key features helps understand how and why these strategies are effective and the wider (desirable or undesirable) impact of de-implementation. These findings can contribute to the successful replication or optimisation of strategies used to de-implement low-value prescribing practices in future. TRIAL REGISTRATION: The review protocol was registered at PROSPERO (ID: CRD42021243944).