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Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study.

ABSTRACT: BACKGROUND:De-implementation or abandonment of ineffective or low-value healthcare is becoming a priority research field globally due to the growing empirical evidence of the high prevalence of such care and its impact in terms of patient safety and social inefficiency. Little is known, however, about the factors, barriers, and facilitators involved or about interventions that are effective in promoting and accelerating the de-implementation of low-value healthcare. The De-imFAR study seeks to carry out a structured, evidence-based, and theory-informed process involving the main stakeholders (clinicians, managers, patients, and researchers) for the design, deployment, and assessment of de-implementation strategies for reducing low-value pharmacological prescribing. METHODS:A phase I formative study using a systematic and comprehensive framework based on theory and evidence for the design of implementation strategies-specifically, the Behavior Change Wheel (BCW)-will be conducted to design and model de-implementation strategies to favor reductions in low-value pharmacological prescribing of statins in primary prevention of cardiovascular disease (CVD) by main stakeholders (clinicians, managers, patients, and researchers) in a collegiate way. Subsequently, a phase II comparative hybrid trial will be conducted to assess the feasibility and potential effectiveness of at least one active de-implementation strategy to reduce low-value pharmacological prescribing of statins in primary prevention of CVD compared to the usual procedures for dissemination of clinical practice guidelines ("what-not-to-do" recommendations). A mixed-methods evaluation will be used: quantitative for the results of the implementation at the professional level (e.g., adoption, reach and implementation or execution of the recommended clinical practice); and qualitative to determine the feasibility and perceived impact of the de-implementation strategies from the clinicians' perspective, and patients' experiences related to the clinical care received. DISCUSSION:The DE-imFAR study aims to generate valid scientific knowledge about the design and development of de-implementation strategies using theory- and evidence-based methodologies suggested by implementation science. It will explore the effectiveness of these strategies and their acceptability among clinicians, policymakers, and patients. Its ultimate goal is to maximize the quality and efficiency of our health system by abandoning low-value pharmacological prescribing. TRIAL REGISTRATION:Clinicaltrials.gov identifier: NCT04022850. Registered 17 July 2019.

SUBMITTER: Sanchez A

PROVIDER: S-EPMC6977270 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study.

Sanchez Alvaro A Pijoan Jose Ignacio JI Pablo Susana S Mediavilla Marta M de Rozas Rita Sainz RS Lekue Itxasne I Gonzalez-Larragan Susana S Lantaron Gaspar G Argote Jon J García-Álvarez Arturo A Latorre Pedro Maria PM Helfrich Christian D CD Grandes Gonzalo G

Implementation science : IS 20200122 1

<h4>Background</h4>De-implementation or abandonment of ineffective or low-value healthcare is becoming a priority research field globally due to the growing empirical evidence of the high prevalence of such care and its impact in terms of patient safety and social inefficiency. Little is known, however, about the factors, barriers, and facilitators involved or about interventions that are effective in promoting and accelerating the de-implementation of low-value healthcare. The De-imFAR study se ...[more]

PMID: 31969175

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Project description:BackgroundUnnecessary antibiotic use is associated with adverse side effects and rising rates of resistance at the individual and population level. This study used a theory-informed approach to identify potentially modifiable determinants of antibiotic prescribing for patients presenting to primary care with upper respiratory tract infection symptoms.MethodsQualitative interviews were conducted with primary care physicians in Ontario, Canada who were identified as medium- or high-volume antibiotic prescribers (high volume defined as top 20th percentile versus "medium" defined as 40th to 60th percentile). The interview guide and analysis were informed by the Theoretical Domains Framework. Each interview was coded by two research team members. Sampling and analysis continued until thematic saturation was achieved.ResultsTwenty family physicians were interviewed. Physicians felt that many decisions about prescribing for upper respiratory tract infection symptoms were straightforward (i.e., black and white). However, intention to avoid prescribing in cases where an antibiotic was not indicated clinically did not always align with the provider action or expectation of the patient. Clinical decisions were influenced by the Theoretical Domain Framework domains that were both internal to the physician (Knowledge, Skills, Social/Professional Role, and Belief about Capabilities) and external to the physician (Social Influence, Belief about Consequences, Reinforcement, Emotions, and Behavioural Regulation). The Environmental Context and Resources played a key role. Physicians reported significant differences in their approach to antibiotic prescribing within episodic (walk-in) or continuity of care settings, as the presence (or not) of longitudinal physician-patient relationships seemed to moderate the role of these factors on the decision-making process in cases of uncertainty.ConclusionsAntibiotic prescribing in primary care is a complex decision-making process in which context may outweigh biology during encounters featuring clinical uncertainty. Differential skill in handling uncertainty and tactics used to operationalize guideline recommendations in the real world seems to contribute to observed variation in prescribing patterns, as much or more than differences in knowledge of best practices.

Project description:ContextMedical interns (interns) find prescribing challenging and many report lacking readiness when commencing work. Errors in prescribing puts patients' safety at risk. Yet error rates remain high, despite education, supervision and pharmacists' contributions. Feedback on prescribing may improve performance. Yet, work-based prescribing feedback practices focus on rectifying errors. We aimed to explore if prescribing can be improved using a theory-informed feedback intervention.MethodsIn this pre-post study, we designed and implemented a constructivist-theory informed prescribing feedback intervention, informed by Feedback-Mark 2 Theory. Interns commencing internal medicine terms in two Australian teaching hospitals were invited to engage in the feedback intervention. Their prescribing was evaluated by comparing errors per medication order of at least 30 orders per intern. Pre/baseline (weeks 1-3) were compared with post intervention (weeks 8-9). Interns' baseline prescribing audit findings were analysed and discussed at individualised feedback sessions. These sessions were with a clinical pharmacologist (Site 1) and a pharmacist educator (Site 2).ResultsEighty eight intern's prescribing over five 10-week terms was analysed from two hospitals. The frequency of prescribing errors significantly reduced at both sites after the intervention, across all five terms (p < 0.001).There were initially 1598 errors in 2750 orders (median [IQR] 0.48 [0.35-0.67] errors per order) and after the intervention 1113 errors in 2694 orders (median [IQR] 0.30 [0.17-0.50] errors per order).ConclusionOur findings suggest interns' prescribing practices may improve as a result of constructivist -theory learner centred, informed feedback with an agreed plan. This novel intervention, contributed, to a reduction in interns' prescribing errors. This study suggests new strategies for improving prescribing safety should include the design and implementation of theory-informed feedback interventions.

Project description:Background/aimsConsiderable 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.MethodsA 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.ResultsEleven 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.ConclusionThis 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 registrationThe review protocol was registered at PROSPERO (ID: CRD42021243944).

Project description:In nursing homes, 25%-75% of antibiotic days of treatment are inappropriate or unnecessary and are often continued for longer durations than necessary. In Ontario, physicians can receive a provincial audit and feedback report that provides individualised, confidential, data about their antibiotic prescribing. Objectives of this study were to explore antibiotic prescribing of nursing home physicians and the influence of the report. All physicians who received a personalised MyPractice: Long-Term Care report from Ontario Health (Quality) (OH(Q)) in January 2019 (n=361) were eligible to participate in semistructured telephone interviews that were recorded then transcribed verbatim. Recruitment emails were sent from OH(Q) until saturation of ideas. Analysis was conducted by two team members inductively, then deductively using the theoretical domains framework, a comprehensive, theory-informed framework to classify determinants of specific behaviours. Interviews were conducted with n=18 physicians; 78% (n=14) were men, practising for an average of 27 years, with 18 years of experience working in nursing homes. Physicians worked in a median of 2 facilities (range 1-6), with 72% (n=13) in an urban setting. 56% (n=10) were medical directors for at least one home. Professional role and identity impacted all aspects of antibiotic prescribing. Key roles included being an 'Appropriate prescriber', an 'Educator' and a 'Change driver'. For antibiotic initiation, these roles interacted with Knowledge, Skills, Beliefs about consequence, Beliefs about capabilities, and Social influence to determine the resulting prescribing behaviour. When considering the impact of interacting with the report, participants' perceived roles interacted with Reinforcement, Social influence, and Intention. Environmental context and resources was an overarching domain. This theory-informed approach is being used to inform upcoming versions of existing audit and feedback initiatives. Appealing to the role that prescribers see themselves offers a unique opportunity to encourage desired changes, such as providing tools for physicians to be Educators and facilitating, particularly medical directors, to be Change drivers.

Project description:BackgroundFor successful implementation of an innovation within a complex adaptive system, we need to understand the ways that implementation processes and their contexts shape each other. To do this, we need to explore the work people do to make sense of an innovation and integrate it into their workflow and the contextual elements that impact implementation. Combining Normalization Process Theory (NPT) with the Consolidated Framework for Implementation Research (CFIR) offers an approach to achieve this. NPT is an implementation process theory that explains how changes in the way people think about and use an innovation occurs, while CFIR is a framework that categorizes and describes contextual determinants across five domains that influence implementation. We demonstrate through a case example from our prior research how we integrated NPT and CFIR to inform the development of the interview guide, coding manual, and analysis of the findings.MethodsIn collaboration with our stakeholders, we selected NPT and CFIR to study the implementation process and co-developed an interview guide to elicit responses that would illuminate concepts from both. We conducted, audio-recorded, and transcribed 28 interviews with various professionals involved with the implementation. Based on independent coding of select transcripts and team discussion comparing, clarifying, and crystallizing codes, we developed a coding manual integrating CFIR and NPT constructs. We applied the integrated codes to all interview transcripts.ResultsOur findings highlight how integrating CFIR domains with NPT mechanisms adds explanatory strength to the analysis of implementation processes, with particular implications for practical strategies to facilitate implementation. Multiple coding across both theoretical frames captured the entanglement of process and context. Integrating NPT and CFIR enriched understandings of how interactions between implementation processes and contextual determinants shaped each other during implementation.ConclusionThe integration of NPT and CFIR provides guidance to identify and explore complex entangled interactions between agents, processes, and contextual conditions within and beyond organizations to embed innovations into routine practices. Nuanced understandings gained through this approach moves understandings beyond descriptions of determinants to explain how change occurs or not during implementation. Mechanism-based explanations illuminate concrete practical strategies to support implementation.

Dataset Information

Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study.

Publications

Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study.

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