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    Shared decision-making (SDM) has gained acceptance as a preferred and ideal method for medical decision-making.1 2 As SDM concepts and assessments initially focused on the clinical encounter, efforts to improve decision-making for patients initially did so, as well.3 This resulted in a plethora of patient-focused interventions (eg, patient decision aids)4 while lacking concurrent development of a systems-oriented approach to change the structural and procedural requirements of medicine for optimal implementation of SDM practice.5 ### Rationale and context for developing The Six Steps of SDM We developed The Six Steps of SDM to fill gaps in coordination among theory, measurement, interventions and implementation of SDM. That is, ideally, theory should drive both measurement and development of interventions (including skills training and tools such as decision aids), and therefore, influence implementation. However, SDM theories, assessments, decision tools and curricula were not develop

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    • The Six Steps of SDM: linking theory to practice, measurement and implementation #Analysis by @marlaclayman and colleagues #OpenAccess Link: https://t.co/pk8v9Y6uED https://t.co/EOOpRfTu1i

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    Scientific progress, including in evidence-based medicine, requires all available evidence to be accessed, scrutinised, interpreted and used. Missing or incomplete evidence creates biases and errors in later research. Open science practices are movements and procedures that aim to increase transparency in science production. They aim to make scientific knowledge available, accessible and reusable, benefitting scientific collaboration and all society.1 Open access is a core component of open science that aims to help solve the problem of accessibility.2 Traditional publication behind a paywall can hide evidence from the public, clinicians, policymakers and other researchers. Whether online or print, traditional scientific journals maintain their content behind a paywall, with only abstracts freely available to read.3 Readers access articles by purchasing the individual article, the entire journal issue or through a subscription. These journal subscriptions are purchased by institutions

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    • Open access journal publication in health and medical research and open science: benefits, challenges and limitations #Analysis by @patlogullo, @GSCollins and colleagues @EQUATORNetwork #OpenAccess Link: https://t.co/z3kljF452T https://t.co/c6qVvYCtoa

  • Mashup Score: 10

    ### Key messages High rates of long COVID or post-acute sequelae of COVID-19 (PASC) continue to be reported in academic journals and subsequently filtered to the public. For instance, the Centers for Disease Control and Prevention (CDC) recently stated ‘nearly one in five American adults who have had COVID-19 still have long Covid’.1 Many scientific publications overestimate PASC prevalence because of overly broad definitions, lack of control groups, inappropriate control groups, and other methodological flaws. This problem is further compounded by inclusion of poorly conducted studies into systematic reviews and meta-analyses that overstate the risk. This is fed to the public by the media and social media, raising undue concern and anxiety. This paper aims to discuss these estimation errors and why epidemiologic research on long COVID has been misleading. For the purposes of this paper, we define long COVID as a syndrome or individual symptoms which are direct sequelae of the virus, S

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    • How methodological pitfalls have created widespread misunderstanding about #LongCOVID #Analysis by @tracybethhoeg, @ShamezLadhani, @VPrasadMDMPH #OpenAccess Link: https://t.co/2PfNoaJ5FM https://t.co/EgofZiuRdw

  • Mashup Score: 4

    ### Key messages High rates of long COVID or post-acute sequelae of COVID-19 (PASC) continue to be reported in academic journals and subsequently filtered to the public. For instance, the Centers for Disease Control and Prevention (CDC) recently stated ‘nearly one in five American adults who have had COVID-19 still have long Covid’.1 Many scientific publications overestimate PASC prevalence because of overly broad definitions, lack of control groups, inappropriate control groups, and other methodological flaws. This problem is further compounded by inclusion of poorly conducted studies into systematic reviews and meta-analyses that overstate the risk. This is fed to the public by the media and social media, raising undue concern and anxiety. This paper aims to discuss these estimation errors and why epidemiologic research on long COVID has been misleading. For the purposes of this paper, we define long COVID as a syndrome or individual symptoms which are direct sequelae of the virus, S

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    • How methodological pitfalls have created widespread misunderstanding about #LongCOVID #Analysis by @tracybethhoeg, @ShamezLadhani, @VPrasadMDMPH #OpenAccess Link: https://t.co/2PfNoaJ5FM https://t.co/T42jWczU5E

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    The first International Shared Decision Making (ISDM) Conference took place in Oxford (UK), 2001. It was attended by 120 motivated people who saw the potential of shared decision making (SDM) to lead to safer and more effective healthcare. Two years later in Swansea (UK), the conference book opened with this foreword: ‘In a few decades, the fact that we did not involve patients in the design of services and their delivery, at population and individual level, will look peculiar’ (GE and AE). Fortunately, after 21 years of the ISDM conferences, this prediction was correct. Patient involvement is not yet universal, it does not happen all the time, and there is room for improvement; but we have witnessed a paradigm shift internationally in healthcare delivery towards person-centred models. It is now more peculiar when patient involvement is not attempted or resisted, than when it is attempted or encouraged. Figure 1 summarises the ISDM conference history within this paradigm shift in healt

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    • Twenty-one years of the International Shared Decision Making Conference: lessons learnt and future priorities #Analysis by @NJosephWilliams @Glynelwyn @Adriangkedwards #OpenAccess Link: https://t.co/C1cBw7cDG2 https://t.co/kifbp425tn

  • Mashup Score: 0

    The first International Shared Decision Making (ISDM) Conference took place in Oxford (UK), 2001. It was attended by 120 motivated people who saw the potential of shared decision making (SDM) to lead to safer and more effective healthcare. Two years later in Swansea (UK), the conference book opened with this foreword: ‘In a few decades, the fact that we did not involve patients in the design of services and their delivery, at population and individual level, will look peculiar’ (GE and AE). Fortunately, after 21 years of the ISDM conferences, this prediction was correct. Patient involvement is not yet universal, it does not happen all the time, and there is room for improvement; but we have witnessed a paradigm shift internationally in healthcare delivery towards person-centred models. It is now more peculiar when patient involvement is not attempted or resisted, than when it is attempted or encouraged. Figure 1 summarises the ISDM conference history within this paradigm shift in healt

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    • Twenty-one years of the International Shared Decision Making Conference: lessons learnt and future priorities #Analysis by @NJosephWilliams @Glynelwyn @Adriangkedwards #OpenAccess Link: https://t.co/C1cBw7cDG2 https://t.co/VikcsgIxOq

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    Healthcare is full of choices between standard-of-care approaches where one might be better but we do not know which. Examples include ‘at what threshold should magnesium be supplemented for critically ill patients?’ and ‘which insulin formulation should be started in a hospitalised patient with diabetes?’1–3 Observational studies of such questions can be conducted relatively easily but are prone to biases, especially selection bias, that prevent them from reliably showing causal relationships between treatments and outcomes.4 Randomised controlled trials (RCTs) allow stronger causal inference but are major undertakings, typically costing over US$10 000 per patient.5 Beyond financial cost, traditional RCTs disrupt care, especially by assigning treatment based on random chance rather than clinicians’ and patients’ preference. Even for patients who merely consider trial participation, weighing benefits and risks and making a decision may create substantial burdens and stress.6 Informatio

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    • Decision architecture randomisation: extremely efficient clinical trials that preserve clinician and patient choice? #Analysis by Flory et al. Link: https://t.co/NeXHZT11I1 https://t.co/l76WLxvkLy

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    Low value care harms patients (due to adverse events of treatments or secondary unwarranted tests), overburdens healthcare professionals (potentially contributing to burnout), threatens healthcare systems (threatening sustainability due to inefficient use of scarce healthcare resources) and damages the climate (due to negative environmental impact on provision of low value care).1 Low value care is a global phenomenon affecting both high-resource and low-resource settings (and if anything is more harmful in low-resource settings). While the problem of low value care has been recognised for many years, until recently it received insufficient attention. Choosing Wisely (CW) was founded a decade ago in the USA and initially focused on clinician engagement to raise awareness of the problems of low value care and its negative impacts. It aims to change healthcare professional culture making stewardship of healthcare resources a professional responsibility.2 CW spread rapidly and CW (and sim

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    • Reducing low value care: opportunities and challenges for Choosing Wisely campaigns #Analysis by Wendy Levinson and @GrimshawJeremy Link: https://t.co/XArbSdaqMB https://t.co/23dZFUlIGP