Afina Faza

Ms. Afina Faza

Universitas Padjadjaran, Bandung, Jawa Barat, Indonesia
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 July 2022 in Healthcare
Verified
Journal Article
Open access
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TKTatik Kusyanti
Tatik Kusyanti
FWFirman Fuad Wirakusumah
Firman Fuad Wirakusumah
FRFedri Ruluwedrata Rinawan
Fedri Ruluwedrata Rinawan
AMAbdul Muhith
Abdul Muhith
APAyi Purbasari
Ayi Purbasari
ASAlyxia Gita Stellata
Alyxia Gita Stellata
The world of health has changed significantly since the advent of smartphones. Smartphones have been widely known to facilitate the search for health information in the mobile Health (mHealth) system, which is used to improve the quality of life for patients, such as communication between doctors and patients. This systematic literature review aims to identify the use of mHealth as a digital communication tool for pregnant women by comparing technology-based and standard-based pregnancy care. The method used is a systematic review of articles related to pregnancy care that utilize mHealth for pregnant women. The articles were obtained from the database based on the PICO framework; we searched articles using seven databases. The selection was adjusted to the inclusion criteria, data extraction, study quality evaluation, and results from synthesis. From the disbursement, 543 articles were obtained and 10 results were obtained after the screening. After a critical appraisal was carried out, four articles were obtained. Advantages can be in the form of increasing knowledge of pregnant women who use mHealth due to the availability of information needed by pregnant women in the mHealth application. mHealth also provides information about their babies, so the impact of mHealth is not only for mothers. mHealth is a promising solution in pregnancy care compared to the standard of maternal care.

Verified
Journal Article
Open access
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FRFedri Ruluwedrata Rinawan
Fedri Ruluwedrata Rinawan
AFAfina Faza
Afina Faza
ASAri Indra Susanti
Ari Indra Susanti
WPWanda Gusdya Purnama
Wanda Gusdya Purnama
NINoormarina Indraswari
Noormarina Indraswari
RRRiki Ridwana
Riki Ridwana
Posyandu is an Indonesian mother-child health, community-based healthcare. The provision of the Posyandu data quality map is crucial for analyzing results but is limited. This research aimed to (a) demonstrate data quality analysis on its completeness, accuracy, and consistency and (b) map the data quality in Indonesia for evaluation and improvement. An observational study was conducted using the Posyandu application. We observed data in Indonesia from 2019 to 2021. Data completeness was identified using children’s visits/year. Data accuracy was analyzed using WHO anthropometry z-score and implausible z-score values analyzing the outliers. Cronbach’s α of variables was used to know data consistency. STATA 15.1 SE and QGIS 3.10 was used to analyze and map the quality. Data completeness and accuracy in three years show a good start for the pilot project area, continued with declines in pandemic time, while some other areas demonstrated a small start, then slightly increased. The overall consistency decreased through the study period. A good report on data completeness can occur initially in a pilot project area, followed by others. Data accuracy and consistency can decrease during the pandemic. The app can be promising when synchronized with the government health information system.

23 September 2022 in Informatics
Verified
Journal Article
Open access
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AFAfina Faza
Afina Faza
FRFedri Ruluwedrata Rinawan
Fedri Ruluwedrata Rinawan
KMKuswandewi Mutyara
Kuswandewi Mutyara
WPWanda Gusdya Purnama
Wanda Gusdya Purnama
DFDani Ferdian
Dani Ferdian
SFSiti Nur Fatimah
Siti Nur Fatimah
The community’s mother and child health (MCH) and nutrition problems can be overcome through evidence-based health policy. Posyandu is an implementation of community empowerment in health promotion strategies. The iPosyandu application (app) is one of the health informatics tools, in which data quality should be considered before any Posyandu health interventions are made. This study aims to describe and assess differences in data quality based on the dimensions (completeness, accuracy, and consistency) of the secondary data collected from the app in Purwakarta Regency in 2019–2021. Obstacles and suggestions for improving its implementation were explored. This research applies a mixed-method explanatory approach. Data completeness was identified as the number of reported visits of children under five per year. Data accuracy was analyzed using WHO Z-score anthropometry and implausible Z-score values. Data consistency was measured using Cronbach’s alpha coefficient, followed by qualitative research with focus group discussions, in-depth interviews, and field observation notes. The quantitative study results found that some of the data were of good quality. The qualitative research identified the obstacles experienced using the iPosyandu app, one of them being that there were no regulations governing the use of iPosyandu to bridge the needs of the government, and provided suggestions from the field to improve its implementation.