Evidence map›Paper›PMID 19527564›Full record

ArticleBritish journal of health psychology2010

Gender and self-reported mental health problems: predictors of help seeking from a general practitioner.

D Tedstone Doherty, Y Kartalova-O'Doherty

Abstract read
In one paragraph

Article in British journal of health psychology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 pooled it
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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

77 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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17 more citing papers are in PubMed but not listed here.

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.

D Tedstone DohertyMental Health Research Unit, Health Research Board, Dublin, Ireland. ddoherty@hrb.ie
Y Kartalova-O'Doherty

Funding

Health Research Board INT/ 2010/8
6 · The paper itself

Abstract

objectivesFindings have shown that many people do not seek help when experiencing psychological distress. The main aim of this paper is to examine the socio-demographic and health status factors that predict help seeking for self-reported mental health problems for males and females from a general practitioner (GP).

designThe analysis used data from the HRB National Psychological Wellbeing and Distress Survey - a telephone survey of the population aged 18 years and over.

methodsTelephone numbers were selected on a random probability basis. An initial set of random clusters was selected from the Geodirectory. Using these sampling areas, random digit dialling was used to generate a random telephone sample. Data were weighted on key variables. Respondents who reported mental health problems in the previous year were included in the current study (382/2,674).

resultsThe findings showed gender differences in the models of predictors between males and females with more factors influencing attendance at the GP for males than for females. While only social limitations and access to free health care predicted female attendance, a range of socio-demographic and psychological factors influenced male attendance.

conclusionsFindings suggest that a 'gender sensitive approach' should be applied to mental health policies and mental health promotion and prevention programmes. Acknowledgement and awareness of the factors that influence help seeking will aid the design of gender specific promotion, prevention, and treatment programmes at primary care level.

Indexed as

Health BehaviorPhysicians, FamilySelf DisclosureAdaptation, PsychologicalAdolescentAdultAge DistributionFemaleHealth Services AccessibilityHealth StatusHumansInterviews as TopicMaleMental DisordersMiddle AgedQuality of Life

Identifiers

PMID19527564
PMCPMC2845878

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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.