Identification Factors of Poor Quality of Data in the DOTS Program

Bahtera B. D. Purba, Anggi Pramono Siregar, Cristica I. Surbakti, Bunga Rimta Barus

2019

Abstract

At Deli serdang, Indonesia, in 2016, 52% of the DOTS data quality was in the bad category and did not show changes since 2013. This study aims to determine the factor of poor quality of data in the DOTS program. Participants in this study were DOTS officers from 34 Puskesmas in Deli Serdang and 16 Puskesmas in Serdang Badagai to 50 respondents. The study was conducted by descriptive analytic method with Cross Sectional approach. The research instrument has been tested for validity and reliability at a confidence level α = 0.05. Data were analyzed using logistic regression at a confidence level α = 0.05. The results of the research showed that there was a affect of the behavioral (p = 0,000; p <0.05), organizational (p = 0.018; p <0.05), and technical determinant (P = 0.006; P> 0 , 05) with DOTS data quality in Deli Serdang. It is suggested to head of the Puskesmas to conduct data management training to DOTS staff of the health center regularly (minimum 1 time a year.

Paper Citation

in Harvard Style

Purba B., Siregar A., Surbakti C. and Barus B. (2019). Identification Factors of Poor Quality of Data in the DOTS Program.In Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT, ISBN 978-989-758-460-2, pages 58-65. DOI: 10.5220/0009463400580065

in Bibtex Style

@conference{ichimat19,
author={Bahtera B. D. Purba and Anggi Pramono Siregar and Cristica I. Surbakti and Bunga Rimta Barus},
title={Identification Factors of Poor Quality of Data in the DOTS Program},
booktitle={Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT,},
year={2019},
pages={58-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009463400580065},
isbn={978-989-758-460-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT,
TI - Identification Factors of Poor Quality of Data in the DOTS Program
SN - 978-989-758-460-2
AU - Purba B.
AU - Siregar A.
AU - Surbakti C.
AU - Barus B.
PY - 2019
SP - 58
EP - 65
DO - 10.5220/0009463400580065