{
  "abstract": "Faced with the recovery from COVID-19, debt, increasing effects of climate change and global macroeconomic uncertainty, many governments in low-income and middle-income countries (LMICs) are likely to have less money to spend on healthcare in real terms up to 2030 compared with what they had before COVID-19. 1 2 As such, already resource-constrained health systems will have to do more with less if hard-earned progress in improving health and financial risk protection is not to be lost. Using evidence to inform healthcare priority-setting has long been recognised as central to making progress towards universal health coverage,3 and seems more important than ever today. Evidence-informed priority-setting (EIPS), understood as a form of systematic priority-setting that involves the explicit consideration of evidence to determine the healthcare interventions to be provided,4 is not just sensible in theory; recent empirical evidence suggests that EIPS represents good value for money, for example, in Thailand, EIPS delivered an estimated 8:1 return on investment (ROI).5",
  "authors": [
    {
      "affiliations": [
        "Center for Global Development, Washington, DC, USA",
        "School of Public Health, Imperial College London, London, UK"
      ],
      "name": "Adrian Gheorghe"
    },
    {
      "affiliations": [
        "Center for Global Development, Washington, DC, USA"
      ],
      "name": "Abha Mehndiratta"
    },
    {
      "affiliations": [
        "Center for Global Development, Washington, DC, USA"
      ],
      "name": "Peter Baker"
    },
    {
      "affiliations": [
        "Center for Global Development, Washington, DC, USA"
      ],
      "name": "Sophie Gulliver"
    },
    {
      "affiliations": [
        "Center for Global Development, Washington, DC, USA"
      ],
      "name": "Malkeet Singh"
    },
    {
      "affiliations": [
        "PGIMER, Chandigarh, India"
      ],
      "name": "Kirti Tyagi"
    },
    {
      "affiliations": [
        "Center for Global Development, Washington, DC, USA"
      ],
      "name": "Javier Guzman"
    }
  ],
  "title": "Measuring progress in institutionalising evidence-informed priority-setting in the Indian healthcare system: an application using the iProSE scale",
  "uid": "cdc8d0cb-6265-5b72-9d83-15265c94dbaf"
}