Evidence map›Paper›PMID 32218756›Full record

ArticleFrontiers in psychology2020

Perspectives on Early Screening and Prompt Intervention to Identify and Treat Maternal Perinatal Mental Health. Protocol for a Prospective Multicenter Study in Italy.

Loredana Cena, Gabriella Palumbo, Fiorino Mirabella, Antonella Gigantesco, Alberto Stefana, Alice Trainini, Nella Tralli, Antonio Imbasciati

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  8. Somatic comorbidities of mental disorders in pregnancy.European psychiatry : the journal of the Association of European Psychiatrists · 2023
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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

8 authors at 1 institution in 1 country.

Loredana CenaDepartment of Clinical and Experimental Sciences, Section of Clinical Psychology, Observatory of Perinatal Clinical Psychology, University of Brescia, Brescia, Italy.
Gabriella PalumboCenter for Behavioural Sciences and Mental Health, National Institutes of Health, Rome, Italy.
Fiorino MirabellaCenter for Behavioural Sciences and Mental Health, National Institutes of Health, Rome, Italy.
Antonella GigantescoCenter for Behavioural Sciences and Mental Health, National Institutes of Health, Rome, Italy.
Alberto StefanaDepartment of Clinical and Experimental Sciences, Section of Clinical Psychology, Observatory of Perinatal Clinical Psychology, University of Brescia, Brescia, Italy.
Alice TraininiDepartment of Clinical and Experimental Sciences, Section of Clinical Psychology, Observatory of Perinatal Clinical Psychology, University of Brescia, Brescia, Italy.
Nella TralliDepartment of Clinical and Experimental Sciences, Section of Clinical Psychology, Observatory of Perinatal Clinical Psychology, University of Brescia, Brescia, Italy.
Antonio ImbasciatiDepartment of Clinical and Experimental Sciences, Section of Clinical Psychology, Observatory of Perinatal Clinical Psychology, University of Brescia, Brescia, Italy.
University of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe most common mental disorders in women during the perinatal (antenatal and postnatal) period are depressive syndromes and anxiety syndromes. The global prevalence of maternal perinatal depression ranges from 10 to 20%, while the prevalence of perinatal anxiety ranges from 10 to 24%. The comorbidity of mood and anxiety disorders in perinatal women is common, reaching 40%. In Italy, a few studies have been undertaken to evaluate the prevalence of perinatal depression and anxiety, and there is still a scarcity of research and intervention programs regarding primary prevention. Three of the main aims of this study are: (1) to evaluate the prevalence of maternal perinatal depression and anxiety in a large sample of women attending healthcare centers in Italy; (2) to investigate the psychosocial risks and protective factors associated with maternal perinatal depression and anxiety; (3) to evaluate the effectiveness of a manualized psychological intervention (Milgrom et al., 1999) to treat perinatal depression; (4) to evaluate the psychometric properties of both the Edinburgh Postnatal Depression Scale and the Patient Health Questionnaire-9 in detecting perinatal depression; and (5) to evaluate the influence of maternal depression and anxiety on the development of infant temperament.

methodsThis is a prospective cohort study, which merges an observational design and a pre-post intervention design. The study includes a 1-year recruitment period and a one-year follow-up period. The methodological strategy includes: (1) self-report questionnaires on maternal depression, anxiety, health status, quality of life and psychosocial risks; (2) a self-report questionnaire to measure the infant's temperament; (3) a clinical interview; (4) a structured diagnostic interview; and (5) a psychological intervention. DISCUSSION: The results of this study may contribute to our knowledge about prevalence of antenatal and postnatal depression and anxiety (during both the trimesters of pregnancy and the first six trimesters after birth) and about the effectiveness of early psychological intervention in the perinatal health services.

Indexed as

antenatalanxietyassessmentdepressionperinatalpostnatalpsychological treatmentscreening

Identifiers

PMID32218756
PMCPMC7079581
OpenAlexW3012351251

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.