IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v12y2020i8p118.html
   My bibliography  Save this article

Non Communicable Disease (NCD) as Risk for Disability: Recommendation for Indonesian UHC Program

Author

Listed:
  • Siti Isfandari
  • Lamria Pangaribuan
  • Sri Idaiani

Abstract

BACKGROUND- Disability is health condition drives people seek treatment. Information on magnitude of disability and its contributors is important in Indonesian universal health coverage (UHC) era. It is useful for cost estimation, as well as to design type of service needed at the time being and in the future. This research intends to assess magnitude of disability and its non-communicable diseases (NCD) as risk. Disability obtained from WHODAS 2 score. METHOD- data obtained from 2018 National Health Survey (Riskesdas 2018) sample age 18 – 59, consisted of 528762 respondents. Dependent variable is disability measured using WHODAS2. Independent variables are NCD consist of statements ever diagnosed asthma, cancer, diabetes, heart, stroke, chronic renal failure, and joint disease by healthcare personnel and emotional distress which is score obtained from self-report questionnaire (SRQ) instrument. STATISTIC ANALYSIS- Validation between disability and 2 diseases was performed using Chi Square analysis. Logistic regression analysis was applied to identify contribution of NCD on disability. RESULTS- Results show risk of NCD on disability in the working age group of 18–59 years. Stroke and emotional distress are the highest contributors with OR more than 3. Results can serve as input for UHC program to estimate costs of working age health service, including rehabilitation. The Ministry of Health can develop or improve current health system with comprehensive services provision including psychological intervention in rehabilitation.

Suggested Citation

  • Siti Isfandari & Lamria Pangaribuan & Sri Idaiani, 2020. "Non Communicable Disease (NCD) as Risk for Disability: Recommendation for Indonesian UHC Program," Global Journal of Health Science, Canadian Center of Science and Education, vol. 12(8), pages 118-118, July.
  • Handle: RePEc:ibn:gjhsjl:v:12:y:2020:i:8:p:118
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/0/0/43009/45017
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/0/43009
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:gjhsjl:v:12:y:2020:i:8:p:118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.