Evidence map›Paper›PMID 25405062›Full record

ArticleHealthcare informatics research2014

Impact of computer-based pregnancy-induced hypertension and diabetes decision AIDS on empowering pregnant women.

Azam Aslani, Fatemeh Tara, Lila Ghalighi, Omid Pournik, Sabine Ensing, Ameen Abu-Hanna, Saeid Eslami

Open access · goldAbstract read
In one paragraph

Article in Healthcare informatics research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 20% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Setting and techniques for monitoring blood pressure during pregnancy.The Cochrane database of systematic reviews · 2020
    Pooled it
  3. Article
4 · The record

Corrections and comments

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

7 authors at 3 institutions in 2 countries.

Azam AslaniDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh TaraResearch Center for Patient Safety, Mashhad University of Medical Sciences, Mashhad, Iran. ; Department of Obstetrics and Gynecology, Mashhad University of Medical Sciences, Mashhad, Iran.
Lila GhalighiMental Health Research Center, Iran University of Medical Sciences, Tehran, Iran.
Omid PournikDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran.
Sabine EnsingDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Ameen Abu-HannaDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Saeid EslamiDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran. ; Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands. ; Pharmaceutical Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences · IRAcademic Medical Center · NLIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe designed a computer-based decision aid (CDA) for use by pregnant women at home to investigate and participate in solving their pregnancy problems related to pregnancy-induced hypertension (PIH) and gestational diabetes (GD). The system cannot and is not intended to replace visits to physicians; rather it can help women focus on the most important symptoms and provides guidance on when to see a doctor.

methodsThe study is a randomized controlled trial, which is performed among Iranian pregnant women. For subjects, 420 healthy pregnant women have been recruited from two private and two public prenatal centers. The intervention group will receive the CDA for use at home, and the control group will receive care as usual. The CDA relies on knowledge extracted from the national guidelines on PIH and GD.

resultsThe two primary outcomes for the study are self-efficacy and knowledge. Self-efficacy will be measured by the Stanford self-efficacy scale and knowledge will be evaluated by 15 binary (true/false) questions provided by the researchers. Secondary outcomes include type and frequency of doctor and/or medical center visits; blood pressure and blood sugar changes based on the national guidelines and according to pregnancy records, and anxiety will be assessed by the state component of the short Spielberger anxiety scale.

conclusionsThis paper describes the design of a CDA and a protocol for a randomized controlled trial to study the effects of the CDA on self-efficacy and knowledge of pregnant women pertaining to PIH and GD. Differences in the primary outcomes will be analyzed using 'intention-to-treat' principles.

Indexed as

Decision AidDecision Support TechniqueGestational DiabetesPregnancy-Induced HypertensionPrenatal Education

Identifiers

PMID25405062
PMCPMC4231176
OpenAlexW2158636309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.