{
  "abstract": "Using mortality data to inform Diagnosis-Related Group (DRG) design offers an opportunity to make provider payment systems more responsive to differences in clinical severity and resource needs. Mortality data could support refinement of case-mix classification and cost calibration, while providing a complementary signal for quality monitoring. Using Ghana as an example, this paper explores how facility-level mortality data could enhance the country’s maturing G-DRG system and inform broader reforms across low- and middle-income settings.",
  "abstract_shown": true,
  "affiliations": [
    "Institute of Global Health, Faculty of Medicine, Université de Genève (UNIGE), Geneva, Switzerland",
    "Health Finance Department, The Global Fund to fight AIDS Tuberculosis and Malaria, 1218 Geneva, Switzerland",
    "Department of Africana Studies and Global Public Health, Binghamton University, State University of New York, Binghamton, NY USA",
    "Health Information Systems Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo",
    "University of Ghana, School of Public Health, Department of Health Economics, Accra, Ghana",
    "Management Sciences for Health, Arlington, VA, USA",
    "Institut de Démographie et Socioéconomie, Université de Genève (UNIGE), Geneva, Switzerland",
    "Department of Health Policy, University of Health and Allied Sciences, Ho, Ghana",
    "Department of Community Health, School of Medicine, University of Health and Allied Sciences, Ho, Ghana"
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Regina Titi-Ofei"
    },
    {
      "affs": [
        2
      ],
      "name": "Doris Osei Afriyie"
    },
    {
      "affs": [
        3
      ],
      "name": "Hillary Kipruto"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Justice Nonvignon"
    },
    {
      "affs": [
        6
      ],
      "name": "Clementine Rossier"
    },
    {
      "affs": [
        7,
        8
      ],
      "name": "Anthony Adofo-Ofosu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ckxvefqs5rk4j.bib",
  "cited_by": 0,
  "doi": "10.1038/s44401-026-00162-4",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13737274/",
  "id": "ckxvefqs5rk4j",
  "issns": [
    "3005-1959"
  ],
  "landing_url": "https://doi.org/10.1038/s44401-026-00162-4",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Perspective"
    ],
    [
      "openalex",
      "2739|Healthcare Systems and Reforms"
    ]
  ],
  "openalex": "W7225228721",
  "pdf_url": "https://www.nature.com/articles/s44401-026-00162-4.pdf",
  "pmcid": "PMC13737274",
  "pmid": "42982895",
  "published": "2026-11-04",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/ckxvefqs5rk4j.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:22:31Z",
      "native_id": "PMC13737274",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s44401-026-00162-4"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2739|Healthcare Systems and Reforms",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Opportunities, risks and policy implications of using health facility mortality data to inform DRG payment design under Ghana’s NHIS",
  "title_text": "Opportunities, risks and policy implications of using health facility mortality data to inform DRG payment design under Ghana’s NHIS",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:22:31Z",
  "url": "https://research.draconitic.com/paper/ckxvefqs5rk4j",
  "venue": "npj Health Systems",
  "versions": []
}