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  1. Lombe D, Sullivan R, Caduff C, Ali Z, Bhoo-Pathy N, Cleary J, et al.
    Ecancermedicalscience, 2021;15:1202.
    PMID: 33889211 DOI: 10.3332/ecancer.2021.1202
    Introduction: Public health emergencies and crises such as the current COVID-19 pandemic can accelerate innovation and place renewed focus on the value of health interventions. Capturing important lessons learnt, both positive and negative, is vital. We aimed to document the perceived positive changes (silver linings) in cancer care that emerged during the COVID-19 pandemic and identify challenges that may limit their long-term adoption.

    Methods: This study employed a qualitative design. Semi-structured interviews (n = 20) were conducted with key opinion leaders from 14 countries. The participants were predominantly members of the International COVID-19 and Cancer Taskforce, who convened in March 2020 to address delivery of cancer care in the context of the pandemic. The Framework Method was employed to analyse the positive changes of the pandemic with corresponding challenges to their maintenance post-pandemic.

    Results: Ten themes of positive changes were identified which included: value in cancer care, digital communication, convenience, inclusivity and cooperation, decentralisation of cancer care, acceleration of policy change, human interactions, hygiene practices, health awareness and promotion and systems improvement. Impediments to the scale-up of these positive changes included resource disparities and variation in legal frameworks across regions. Barriers were largely attributed to behaviours and attitudes of stakeholders.

    Conclusion: The COVID-19 pandemic has led to important value-based innovations and changes for better cancer care across different health systems. The challenges to maintaining/implementing these changes vary by setting. Efforts are needed to implement improved elements of care that evolved during the pandemic.

  2. McLeod M, Torode J, Leung K, Bhoo-Pathy N, Booth C, Chakowa J, et al.
    Lancet Oncol, 2024 Feb;25(2):e63-e72.
    PMID: 38301704 DOI: 10.1016/S1470-2045(23)00568-5
    This Policy Review sourced opinions from experts in cancer care across low-income and middle-income countries (LMICs) to build consensus around high-priority measures of care quality. A comprehensive list of quality indicators in medical, radiation, and surgical oncology was identified from systematic literature reviews. A modified Delphi study consisting of three 90-min workshops and two international electronic surveys integrating a global range of key clinical, policy, and research leaders was used to derive consensus on cancer quality indicators that would be both feasible to collect and were high priority for cancer care systems in LMICs. Workshop participants narrowed the list of 216 quality indicators from the literature review to 34 for inclusion in the subsequent surveys. Experts' responses to the surveys showed consensus around nine high-priority quality indicators for measuring the quality of hospital-based cancer care in LMICs. These quality indicators focus on important processes of care delivery from accurate diagnosis (eg, histologic diagnosis via biopsy and TNM staging) to adequate, timely, and appropriate treatment (eg, completion of radiotherapy and appropriate surgical intervention). The core indicators selected could be used to implement systems of feedback and quality improvement.
  3. Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, et al.
    Phys Rev Lett, 2024 Jan 12;132(2):021803.
    PMID: 38277607 DOI: 10.1103/PhysRevLett.132.021803
    The first evidence for the Higgs boson decay to a Z boson and a photon is presented, with a statistical significance of 3.4 standard deviations. The result is derived from a combined analysis of the searches performed by the ATLAS and CMS Collaborations with proton-proton collision datasets collected at the CERN Large Hadron Collider (LHC) from 2015 to 2018. These correspond to integrated luminosities of around 140  fb^{-1} for each experiment, at a center-of-mass energy of 13 TeV. The measured signal yield is 2.2±0.7 times the standard model prediction, and agrees with the theoretical expectation within 1.9 standard deviations.
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