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. 2019 Feb 3:2019:8540637.
doi: 10.1155/2019/8540637. eCollection 2019.

The Impact of Scientific and Technical Training on Improving Databases' Adequacy for Fetal Growth Chart Development in Limited-Resource Settings: A Case Study in the Province of South Kalimantan, Indonesia

Dewi Anggraini  1   2   3 , Mali Abdollahian  1 , Kaye Marion  1 , Supri Nuryani  4   5 , Fadly Ramadhan  2 , Rezky Putri Rahayu  2 , Irfan Rizki Rachman  2 , Widya Wurianto  2
Affiliations

The Impact of Scientific and Technical Training on Improving Databases' Adequacy for Fetal Growth Chart Development in Limited-Resource Settings: A Case Study in the Province of South Kalimantan, Indonesia

Dewi Anggraini et al. J Pregnancy. .

Abstract

Objectives: To assess the impact of scientific and technical training on midwives' abilities in collecting and recording the key performance indicators for fetal growth chart development in limited-resource settings.

Methods: A descriptive design was used to describe midwives' abilities in timely collecting and recording the minimum data required to estimate fetal weight and develop fetal growth chart. The study was conducted among 19 urban and rural midwives in South Kalimantan, Indonesia, between April 2016 and October 2017. The training provided access to antenatal care information on 4,946 women (retrospective cohort study) and 381 women (prospective cohort study).

Results: The average amount of recorded antenatal care data on the key performance indicators of fetal growth assessment has been significantly improved (from 33.4% to 89.1%, p-value < 0.0005) through scientific and technical training.

Conclusions: Scientific knowledge and technical abilities have enabled midwives to timely record routine data of the key performance indicators for fetal growth surveillance. Access to this information is vital during different stages of pregnancy. The information can be utilised as evidence-based guidelines to assess fetal risks through fetal weight estimation and to develop fetal growth chart that is currently not available in Indonesian primary healthcare systems.

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Figures

Figure 1
Figure 1
Database requirements for fetal weight estimation based on clinical method: (a) before training (retrospective data) and (b) after training (prospective data).
Figure 2
Figure 2
Main database requirements for constructing individual fetal growth chart: (a) before training (retrospective data) and (b) after training (prospective data).
Figure 3
Figure 3
Optional database requirements for constructing individual fetal growth chart: (a) before training (retrospective data) and (b) after training (prospective data).
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