Publications by authors named "Katy Bell"

Background: Despite increasing attention on health literacy and the inclusion of grade reading level recommendations in guidelines, it remains unclear if lowering the grade reading level of written health information to specific target grades improves patient-related outcomes.

Objective: To assess whether grade reading level of written information affects knowledge, perceived reading ease, acceptability and trustworthiness of information and, to explore whether information written at a lower grade reading level reduces disparities in outcomes across health literacy levels.

Design: We conducted a 4-arm online randomized trial with a community sample of adults living in Australia from 31 July to 20 September 2023.

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Background: Clinical care contributes to at least 50% of the greenhouse gas (GHG) emissions of healthcare. This includes the 40% of healthcare that is harmful or low value, adding avoidable emissions without improving health or quality of care. Clinicians are well-placed to mitigate emissions associated with the provision of clinical care.

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Article Synopsis
  • Poor accuracy and reproducibility in diagnosing melanocytic skin lesions can potentially be improved by providing clinical information to pathologists.
  • A review of studies from various countries showed that clinical images and information increased diagnostic certainty, leading to more agreement among pathologists and upgraded diagnoses in a notable percentage of cases.
  • While including clinical details may help prevent missed melanomas, further research is necessary to understand the full implications of integrating clinical information with histopathology diagnoses.
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Purpose: Low-value care is common in intensive care units (ICUs), unnecessarily exposing patients to risks and harms, incuring costs to the patient and healthcare system, and contributing to healthcare's carbon footprint. We aimed to identify, collate, and summarise published evidence on the impact of interventions to reduce low-value care in ICUs.

Methods: We searched MEDLINE, Embase, and Cochrane CENTRAL from inception to 22 September 2023 for evaluations of interventions aiming to reduce low-value care, supplemented by reference lists and recently published articles.

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Background: Limited data exist on the motivations and expectations of participants when enrolling in dermatology clinical trials, including melanoma early detection trials. Understanding participant motivators for research engagement has been identified as a prioritized area for trial methodology research.

Objective: The study aimed to determine motivators of participation and expectations from trial involvement among patients enrolled in the MEL-SELF randomized clinical trial of patient-led surveillance for new or recurrent melanoma.

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  • - Pumariega's JAACAP editorial highlights the negative effects of US immigration policy on children's mental health, advocating for more transparent and evidence-based policy development.
  • - The International Network for Epidemiology in Policy (INEP) supports the idea that children's perspectives should be included in global policy-making, emphasizing their rights and well-being.
  • - The CAP-2030 initiative aims to prioritize children’s health in line with the Sustainable Development Goals (SDGs), collaborating with young activists to ensure that children’s voices are central in national and global decisions.
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Background: Research suggests that a high proportion of melanoma in situ (MIS) may be overdiagnosed, potentially contributing to overtreatment, patient harm and inflated costs for individuals and healthcare systems. However, Australia-wide estimates of the magnitude of melanoma overdiagnosis are potentially outdated and there has been no estimation of the cost to the healthcare system.

Objectives: To estimate the magnitude and cost of overdiagnosed MIS and thin invasive melanomas in Australia.

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Background: Missing outcome data is common in trials, and robust methods to address this are needed. Most trial reports currently use methods applicable under a missing completely at random assumption (MCAR), although this strong assumption can often be inappropriate.

Objective: To identify and summarise current literature on the analytical methods for handling missing outcome data in randomised controlled trials (RCTs), emphasising methods appropriate for data missing at random (MAR) or missing not at random (MNAR).

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Analytical performance specifications (APS) based on outcomes refer to how 'good' the analytical performance of a test needs to be to do more good than harm to the patient. Analytical performance of a measurand affects its clinical performance. Without first setting clinical performance requirements, it is difficult to define how good analytically the test needs to be to meet medical needs.

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Analytical performance specifications (APS) are used for decisions about the required analytical quality of pathology tests to meet clinical needs. The Milan models, based on clinical outcome, biological variation, or state of the art, were developed to provide a framework for setting APS. An approach has been proposed to assign each measurand to one of the models based on a defined clinical use, physiological control, or an absence of quality information about these factors.

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Introduction: Hypertensive disorders of pregnancy (HDP) affect up to 10% of all pregnancies annually and are associated with an increased risk of maternal and fetal morbidity and mortality. This guideline represents an update of the Society of Obstetric Medicine of Australia and New Zealand (SOMANZ) guidelines for the management of hypertensive disorders of pregnancy 2014 and has been approved by the National Health and Medical Research Council (NHMRC) under section 14A of the National Health and Medical Research Council Act 1992. In approving the guideline recommendations, NHMRC considers that the guideline meets NHMRC's standard for clinical practice guidelines.

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Objective: To investigate the potential impacts of optimizing coronavirus disease 2019 (COVID-19) rapid antigen test (RAT) self-testing diagnostic accuracy information.

Design: Online randomized experiment using hypothetical scenarios: in scenarios 1 to 3 (RAT result positive), the posttest probability was considered to be very high (likely true positives), and in scenarios 4 and 5 (RAT result negative), the posttest probability was considered to be moderately high (likely false negatives).

Setting: December 12 to 22, 2022, during the mixed-variant Omicron wave in Australia.

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Objective: To support a diverse sample of Australians to make recommendations about the use of artificial intelligence (AI) technology in health care.

Study Design: Citizens' jury, deliberating the question: "Under which circumstances, if any, should artificial intelligence be used in Australian health systems to detect or diagnose disease?"

Setting, Participants: Thirty Australian adults recruited by Sortition Foundation using random invitation and stratified selection to reflect population proportions by gender, age, ancestry, highest level of education, and residential location (state/territory; urban, regional, rural). The jury process took 18 days (16 March - 2 April 2023): fifteen days online and three days face-to-face in Sydney, where the jurors, both in small groups and together, were informed about and discussed the question, and developed recommendations with reasons.

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Objectives: Film mammography has been replaced by digital mammography in breast screening programs globally. This led to a small increase in the rate of detection, but whether the detection of clinically important cancers increased is uncertain. We aimed to assess the impact on tumor characteristics of screen-detected and interval breast cancers.

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Background: Adherence to self-management interventions is critical in both clinical settings and trials to ensure maximal effectiveness. This study reports how the Behaviour Change Wheel may be used to assess barriers to self-management behaviours and develop strategies to maximise adherence in a trial setting (the MEL-SELF trial of patient-led melanoma surveillance).

Methods: The Behaviour Change Wheel was applied by (i) using the Capability, Opportunity, Motivation-Behaviour (COMB) model informed by empirical and review data to identify adherence barriers, (ii) mapping identified barriers to corresponding intervention functions, and (iii) identifying appropriate behaviour change techniques and developing potential solutions using the APEASE (Affordability, Practicability, Effectiveness and cost-effectiveness, Acceptability, Side-effects and safety, Equity) criteria.

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Objectives: To determine the annual numbers of first ICD insertions in New South Wales during 2005-2020; to examine health outcomes for people who first received ICDs during this period.

Study Design: Retrospective cohort study; analysis of linked administrative health data.

Setting, Participants: All first insertions of ICDs in NSW, 2005-2020.

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Objectives: The environmental impacts of healthcare are important factors that should be considered during health technology assessments. This study aims to summarize the evidence that exists about methods to include environmental impacts in health economic evaluations and health technology assessments.

Methods: We identified records for screening using an existing scoping review and a systematic search of academic databases and gray literature up to September 2023.

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Background: Digital mammography has replaced film mammography in breast-screening programs globally, including Australia. This led to an increase in the rate of detection, but whether there was increased detection of clinically important cancers is uncertain.

Methods: In this population-wide retrospective cohort study in New South Wales, Australia spanning 2004 to 2016 and including 4,631,656 screens, there were 22,965 cancers in women screened with film (n = 11,040) or digital mammography (n = 11,925).

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Objectives: To quantify the proportion of melanoma diagnoses (invasive and in situ) in the USA that might be overdiagnosed.

Design: In this ecological study, incidence and mortality data were collected from the Surveillance, Epidemiology and End Results 9 registries database. DevCan software was used to calculate the cumulative lifetime risk of being diagnosed with melanoma between 1975 and 2018, with adjustments made for changes in longevity and risk factors over the study period.

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