Essential health services tracker to enhance routine data use for sector-wide decision-making

被引:0
|
作者
Kikoba, Bigten [1 ,2 ]
Mahundi, Masoud [2 ]
机构
[1] Univ Dodoma, Dept Informat Syst & Technol, Dodoma, Tanzania
[2] Univ Dar Es Salaam, Dept Comp Sci & Engn, Dar Es Salaam, Tanzania
来源
ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES | 2025年 / 91卷 / 01期
关键词
data use; data visualization; EHS tracker; essential health services; routine health information system; CARE; IMPACT;
D O I
10.1002/isd2.12348
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Healthcare actors have designated a set of services as essential health services (EHSs), essential for achieving universal health coverage. Therefore, monitoring the provision of EHS is indispensable to gauge how countries progress toward achieving universal health coverage. However, there are no mechanisms for sector-wide monitoring of these services. While EHSs cover the entire health sector, monitoring is left to individual subunits and health programs, which often confine themselves to specific diseases and health interventions. This makes it difficult to monitor interferences to the provision of these services. Such interferences include epidemics and pandemics such as COVID-19, Marburg, Ebola, and seasonal incidences of cholera. This study, therefore, proposes an EHS tracker, a data visualization tool, to enhance routine data use for monitoring and tracking EHSs regularly. The paper details a collaborative process for developing the tracker, culminating in the creation of the tool itself. The paper contributes to the ongoing initiatives to strengthen data use practices using innovative solutions in the efforts to institutionalize data use practices and data-driven decision-making for improved healthcare service delivery.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Development of the PHAST model: generating standard public health services data and evidence for decision-making
    Bekemeier, Betty
    Park, Seungeun
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2018, 25 (04) : 428 - 434
  • [22] Use of quality information in decision-making about health and social care services - a systematic review
    Turnpenny, Agnes
    Beadle-Brown, Julie
    HEALTH & SOCIAL CARE IN THE COMMUNITY, 2015, 23 (04) : 349 - 361
  • [23] Decision-making under crisis: insights from the health service sector
    Doran, Desmond
    Phan, Thuy Chung
    MANAGEMENT DECISION, 2025, 63 (01) : 217 - 241
  • [24] DATA QUALITY AND HELP WITH DECISION-MAKING IN FIELD OF HEALTH
    GOLDBERG, M
    ANNALES DE BIOLOGIE CLINIQUE, 1978, 36 (03) : 189 - 193
  • [25] Using electronic health data in clinical decision-making
    Radford, Alan D.
    Farrell, Sean
    Singleton, David A.
    McGarry, John
    Brant, Beth
    Pinchbeck, Gina J.
    Noble, P-J M.
    VETERINARY RECORD, 2023, 192 (07) : 298 - 298
  • [26] THE USE OF QALYS IN HEALTH-CARE DECISION-MAKING
    LOOMES, G
    MCKENZIE, L
    SOCIAL SCIENCE & MEDICINE, 1989, 28 (04) : 299 - 308
  • [27] Informed decision-making on sympathomimetic use in sport and health
    Bouchard, R
    Weber, AR
    Geiger, JD
    CLINICAL JOURNAL OF SPORT MEDICINE, 2002, 12 (04): : 209 - 224
  • [28] The Impact of Big Data Analytics on Decision-Making Within the Government Sector
    Faridoon, Laila
    Liu, Wei
    Spence, Crawford
    BIG DATA, 2024,
  • [29] USE OF KINETIC AND DYNAMIC DATA IN CLINICAL DECISION-MAKING
    WHITING, B
    SOUTH AFRICAN JOURNAL OF SCIENCE, 1985, 81 (06) : 326 - 326
  • [30] USE OF ONLINE SEARCHING OF EXTERNAL DATA IN DECISION-MAKING
    DAVIES, GWP
    LUSTAC, S
    JOURNAL OF INFORMATION SCIENCE, 1979, 1 (03) : 145 - 151