15 items found

Tags: 110309 Infectious Diseases Medicine health services utilization

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  • dataset

    r37980778c78--e904631cdbcd43f6da84787ae8e153fb

    AimThe aim of this study was to explore how Kalenjin women in rural Uasing Gishu County in Kenya perceive antenatal care and how their perceptions impede or motivate earlier...
  • dataset

    Total number of FGD participants from communities.

    Total number of FGD participants from communities.
  • dataset

    r37980778c78--f99839679dae1258d68d2e4cf87219aa

    In-depth interview for different treatment categories of TB Patients.
  • dataset

    r37980778c78--ef6d3698661df85fd36fbb9334434007

    Influences on initial commencement to ANC and perceptions of ANC Services.
  • dataset

    r37980778c78--17f9d573d2e42e25dc4d03a4c5523449

    Overview of Ghana and its health care system.
  • dataset

    Semi Structure Interview with private sector health service provider.

    Semi Structure Interview with private sector health service provider.
  • dataset

    Perspectives on threats to NHIS sustainability in Ghana.

    Perspectives on threats to NHIS sustainability in Ghana.
  • dataset

    Semi Structure Interview for a traditional health service provider.

    Semi Structure Interview for a traditional health service provider.
  • dataset

    Structured data vectors utilized in machine learning algorithms.

    Structured data vectors utilized in machine learning algorithms.
  • dataset

    Information on commencement and frequency of ANC services.

    Information on commencement and frequency of ANC services.
  • dataset

    r37980778c78--f0fd4993e8b15ed209a1e08d4a0bd2ae

    All values were obtained prior to CRT implant.
  • dataset

    FGD for TB suspected patients.

    FGD for TB suspected patients.
  • dataset

    r37980778c78--cf03b59be544ce7c8bced90fb920287e

    Demographic characteristics of the respondents (n = 188).
  • dataset

    Semi-structured interview with various level of government health service pro...

    Semi-structured interview with various level of government health service providers.
  • dataset

    r37980778c78--c9305d13316babd4a7fc89c8e0f41064

    Examples of bigrams extracted from clinical notes, listed in order of relative importance ranked by local mutual information.