Evidence map›Paper›PMID 35609871›Full record

ArticleMethods of information in medicine2022

Development and Testing Requirements for an Integrated Maternal and Child Health Information System in Iran: A Design Thinking Case Study.

Zahra Meidani, Alireza Moravveji, Shirin Gohari, Hamideh Ghaffarian, Sahar Zare, Fatemeh Vaseghi, Gholam Abbas Moosavi, Ali Mohammad Nickfarjam, Felix Holl

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Article in Methods of information in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zahra MeidaniHealth Information Management Research Center (HIMRC), Kashan University of Medical Sciences, Kashan, Iran.
Alireza MoravvejiSocial Determinant of Health (SDH) Research Center, Department of Community and Preventive Medicine, Kashan University of Medical Sciences, Kashan, Iran.
Shirin GohariDepartment of Health Information Management and Technology, School of Allied Medical Sciences, Kashan University of Medical Sciences, Kashan, Iran.
Hamideh GhaffarianDeputy of Health, Kashan University of Medical Sciences, Kashan, Iran.
Sahar ZareHealth Information Management Research Center (HIMRC), Kashan University of Medical Sciences, Kashan, Iran.
Fatemeh VaseghiDepartment of Public Health, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
Gholam Abbas MoosaviDepartment of Vital Statistics and Epidemiology, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
Ali Mohammad NickfarjamHealth Information Management Research Center (HIMRC), Kashan University of Medical Sciences, Kashan, Iran.
Felix HollDigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.

Funding

96007 Kashan University of Medical Sciences, Kashan, IranTBS grant Neu-Ulm University of Applied Sciences (HNU), Neu-Ulm, Germany
6 · The paper itself

Abstract

backgroundManagement of child health care can be negatively affected by incomplete recording, low data quality, and lack of data integration of health management information systems to support decision making and public health program needs. Given the importance of identifying key determinants of child health via capturing and integrating accurate and high-quality information, we aim to address this gap through the development and testing requirements for an integrated child health information system. SUBJECTS AND

methodsA five-phase design thinking approach including empathizing, defining, ideation, prototyping, and testing was applied. We employed observations and interviews with the health workers at the primary health care network to identify end-users' challenges and needs using tools in human-centered design and focus group discussion. Then, a potential solution to the identified problems was developed as an integrated maternal and child health information system (IMCHIS) prototype and tested using Software Quality Requirements and Evaluation Model (SQuaRE) ISO/IEC 25000.

resultsIMCHIS was developed as a web-based system with 74 data elements and seven maternal and child health care requirements. The requirements of "child disease" with weight (0.26), "child nutrition" with weight (0.20), and "prenatal care" with weight (0.16) acquired the maximum weight coefficient. In the testing phase, the highest score with the weight coefficient of 0.48 and 0.73 was attributed to efficiency and functionality characteristics, focusing on software capability to fulfill the tasks that meet users' needs.

conclusionImplementing a successful child health care system integrates both maternal and child health care information systems to track the effect of maternal conditions on child health and support managing performance and optimizing service delivery. The highest quality score of IMCHIS in efficiency and functionality characteristics confirms that it owns the capability to identify key determinants of child health.

Indexed as

Health Information SystemsChildData AccuracyFemaleHumansIranPregnancySoftware

Identifiers

PMID35609871
PMCPMC9788911

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.