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Recalibrating the 'world map' of palliative care development.

Nicole BaurCarlos Centeno CortésEduardo GarraldaStephen R Connor
Published in: Wellcome open research (2019)
Background: Despite growing interest from policy makers, researchers and activists in the global development of palliative care, there is still little science to underpin it. This study presents the methods deployed in the creation of a 'world map' of palliative care development. Building on two previous iterations, with improved rigour and taking into account reviewers' feedback, the aim of this recalibrated version of the study is to determine the level of palliative care development in 198 United Nations recognised countries in 2017, whilst ensuring comparability with previous versions. We present methods of data collection and analysis. Methods and analysis: Primary data on the level of palliative care development in 2017 was collected from in-country experts through an online questionnaire and, where required, supplemented by published documentary sources and grey literature. Data relating to the total population of each country as well as per capita opioid consumption were derived from independent sources. Data analysis was conducted according to a new scoring system and algorithm developed by the research team.   Ethics and dissemination: The study was approved by the University of Glasgow College of Social Sciences Research Ethics Committee. Findings of the study will be disseminated in peer-reviewed journals, as a contribution to the second edition of the Global Atlas of Palliative Care at the End-of-Life, and via social media, including the Glasgow End of Life Studies Group blog and the project website. Limitations of the study: There are potential biases associated with self-reporting by key in-country experts. In some countries, the identified key expert failed to complete the questionnaire in whole or part and data limitations were potentially compounded by language restrictions, as questionnaires were available only in three European languages. The study relied in part on data from independent sources, the accuracy of these data could not be verified.
Keyphrases
  • palliative care
  • social media
  • data analysis
  • public health
  • advanced cancer
  • electronic health record
  • big data
  • randomized controlled trial
  • autism spectrum disorder
  • global health
  • drug administration
  • neural network