Evidence map›Paper›PMID 35847134›Full record

ArticleJournal of education and health promotion2022

Designing the minimum data set of bipolar disorder: A basis for introducing the effective factors in managing, controlling, and monitoring the bipolar disorder.

Khadijeh Moulaei, Kambiz Bahaadinbeigy, Shahrzad Mazhari

Abstract read
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Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

The trial behind it

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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

4 citing papers in PubMed.

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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

3 authors.

Khadijeh MoulaeiMedical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Kambiz BahaadinbeigyMedical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Shahrzad MazhariNeuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimBipolar disorder (BD) is one of the most challenging psychiatric disorders in the management area that can lead to functional, occupational, and cognitive disorders. Without proper care, this complication can lead to profound psychological challenges and even death. The aim of this study is to design a minimum data set (MDS) for BD. MATERIALS AND

methodsThis descriptive cross-sectional study was conducted in two steps. In the first step, a survey was conducted in PubMed, Web of Science, and SCOPUS databases to identify the demographic, managerial, and clinical data elements. Then, the required data elements were extracted from the studies by the data extraction form and used in a questionnaire. In the second step, to confirm the data element set, the designed questionnaire was distributed and collected among 20 psychiatrists and subspecialists during a two-stage Delphi technique. Descriptive statistics (frequency and mean) were conducted to analyze the data.

resultsTotally, 112 managerial and clinical data elements in 14 categories were extracted from the studies. Based on the experts' opinion and their consensus, 88 necessary data elements were considered to bipolar MDS. "Medication nonadherence," "history of suicide," and "substance abuse and addiction" were the most important data elements.

conclusionIn this study, an MDS was designed for BD. Providing this MDS, in addition to improving the clinical processes, it is possible to help electronic system designers and health data managers to know what information should be included in the health systems or any kind of self-care or self-management software to meet the information needs of these patients.

Indexed as

Bipolar disorderdatasetdelphi techniqueminimum data setpsychiatry

Identifiers

PMID35847134
PMCPMC9277744

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LicenceCC BY-NC-SA
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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.