Evidence map›Paper›PMID 38882505›Full record

ArticleFrontiers in psychology2024

The Clinical Generational Interview. An instrument for family assessment.

Giancarlo Tamanza, Marialuisa Gennari

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Giancarlo TamanzaDepartment of Psychology, Catholic University of Sacred Heart, Milan, Italy.
Marialuisa GennariDepartment of Psychology, Catholic University of Sacred Heart, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interviews are the privileged tool for carrying out qualitative research and clinical assessments on family relationships. Nevertheless, there are limited examples of interviews in clinical and psychosocial literature that are explicitly aimed at the evaluation of relational-family constructs. This paper presents the essential characteristics of the Clinical Generational Interview (CGI): an original tool for investigating and evaluating family relationships, that aims to combine the complexity of the subject being studied with the systematic and rigorous approach. It was created according to the following criteria: a flexible qualitative approach, the production and relational reading of information, intersubjective measurability and control of the inferential/interpretative process, and clinical use. Although it is organized in a structured and well-defined form and provides a precise system for encoding information, it is not a test, nor an algorithm that can be used in a mechanically diagnostic sense; it is a very versatile psychological tool that can be used in two different areas: the first is related to clinical research on family and couple relationships, the second to relational assessments. The contribution illustrates the path of construction and elaboration of the instrument, considering first of all its theoretical foundations and the constructs derived from them and around which the set of items is organized. The criteria for coding and analyzing the information thus produced and the different possible areas of application are then described. Finally, the theoretical and methodological characteristics of the instrument are also considered in relation to the main interviews in the literature in order to highlight differential particularities.

Indexed as

clinical interviewcouple interviewfamily relations evaluationintergenerational assessmentqualitative tool

Identifiers

PMID38882505
PMCPMC11177784

What OpenQuestion holds

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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.