Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 14 min ago
Peer-reviewedCC BY 4.0npj Health Systems

Opportunities, risks and policy implications of using health facility mortality data to inform DRG payment design under Ghana’s NHIS

  • Regina Titi-Ofei1,2
  • Doris Osei Afriyie3
  • Hillary Kipruto4
  • Justice Nonvignon5,6
  • Clementine Rossier7
  • Anthony Adofo-Ofosu8,9
9 affiliations
  1. 1Institute of Global Health, Faculty of Medicine, Université de Genève (UNIGE), Geneva, Switzerland
  2. 2Health Finance Department, The Global Fund to fight AIDS Tuberculosis and Malaria, 1218 Geneva, Switzerland
  3. 3Department of Africana Studies and Global Public Health, Binghamton University, State University of New York, Binghamton, NY USA
  4. 4Health Information Systems Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo
  5. 5University of Ghana, School of Public Health, Department of Health Economics, Accra, Ghana
  6. 6Management Sciences for Health, Arlington, VA, USA
  7. 7Institut de Démographie et Socioéconomie, Université de Genève (UNIGE), Geneva, Switzerland
  8. 8Department of Health Policy, University of Health and Allied Sciences, Ho, Ghana
  9. 9Department of Community Health, School of Medicine, University of Health and Allied Sciences, Ho, Ghana
Read full textPDFDOICite

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.

Related

  1. Treating diagnostic frameworks as information systems: normative implications and opportunities
    Philip Millroth
    Translational PsychiatryPeer-reviewedCC BY 4.0Full textPsychiatry & mental healthCrossref
  2. Sex-specific health phenotypes in a large qatari cohort: a cross-sectional analysis with implications for population health policy
    Aisha Al-Khinji, Muna Rayashi, Dhafer Malouche
    BMC Public HealthPeer-reviewedCC BY-NC-ND 4.0Epidemiology & public healthCrossref
  3. Vitamin D deficiency among Ethiopian adults: current evidence, determinants, and policy implications
    Binyam M. Habte, Yoseph M. Habte, Makida M. Habte +3
    Annals of medicine and surgery (2012)Peer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  4. Utilizing GIS to Reduce Child Mortality: Strategic Policy Actions for Health Equity.
    Tahereh Samimi, Aynaz Nourani, Toomas Timpka +1
    Health promotion perspectivesPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsEurope PMCPMC
  5. Alcoholic Cardiomyopathy Mortality in the United States (1999-2024): Trends, Disparities, and Opportunities for Prevention
    Anuj Timshina, Anukul Subedi, Prabin Duwadee +2
    CureusPeer-reviewedCC BYFull textCardiovascular medicineEurope PMCPMC

Cite

BibTeXRIS
BibTeX
@article{titiofei2026opportunities,
  title = {{Opportunities, risks and policy implications of using health facility mortality data to inform DRG payment design under Ghana’s NHIS}},
  author = {Regina Titi-Ofei and Doris Osei Afriyie and Hillary Kipruto and Justice Nonvignon and Clementine Rossier and Anthony Adofo-Ofosu},
  journal = {npj Health Systems},
  year = {2026},
  month = nov,
  doi = {10.1038/s44401-026-00162-4},
  url = {https://doi.org/10.1038/s44401-026-00162-4},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Opportunities, risks and policy implications of using health facility mortality data to inform DRG payment design under Ghana’s NHIS
AU  - Regina Titi-Ofei
AU  - Doris Osei Afriyie
AU  - Hillary Kipruto
AU  - Justice Nonvignon
AU  - Clementine Rossier
AU  - Anthony Adofo-Ofosu
PY  - 2026
DA  - 2026/11/04
JO  - npj Health Systems
DO  - 10.1038/s44401-026-00162-4
UR  - https://doi.org/10.1038/s44401-026-00162-4
AB  - 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.
SN  - 3005-1959
ER  -