rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Retrospective impact evaluation using administrative data
    sub title: lessons from a study on the effect of capitation policy withdrawal on maternal health service provision in Ghana
  name:
    name part: Kuunibe, Naasegnibe
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Yambah, John K.
    role:
      role term: author.
  name:
    name part: Sekyi, Samuel
    role:
      role term: author.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: This case study is guided by our earlier research on the effect of the capitation policy withdrawal on maternal health service provision in Ashanti, Ghana, which was a time-series analysis. Healthcare provider payment methods affect the provision of care in general and maternal care in particular. In 2017, Ghana suspended its capitation policy in the Ashanti Region after piloting it for 5 years. Without evidence of the effect of the policy on health service provision, capitation was suspended, and Ghana missed out on learning any lessons for the future. Given that the policy was suspended and the need to learn meaningful policy lessons and bridge the gap in the literature was missed, only a retrospective evaluation using administrative data was possible. This case study walks students through the process of planning a retrospective evaluation. Critical considerations at the planning, data-acquisition, and management stages are explained. We describe the data used for our retrospective impact evaluation, the challenges that arose, and how we addressed those challenges. We also demonstrate how the retrospective design informed the analytical approach--the interrupted time-series analysis (ITSA). We explain single versus multiple ITSA and show why single ITSA was appropriate for our case study.
  target audience: specialized
  note: Naasegnibe Kuunibe, John K. Yambah, Samuel Sekyi.
  subject:
    geographic code: f-gh---
  subject:
    topic: Maternal health services
    geographic: Ghana
    genre: Case studies
  subject:
    topic: Time-series analysis
    geographic: Ghana
    genre: Case studies
  classification: RG966.G42A84 K88 2024
  classification: 362.198200967
  related item:
    title info:
      title: SAGE research methods. Cases
  identifier: 9781529683264
  identifier: 1529683262
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 240115
    record change date: 20251212174744.9
    record identifier: in00005672887
    language of cataloging:
      language term: eng