Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-14T15:47:43.219Z Has data issue: false hasContentIssue false
  • English
  • Français

Association between mental health-related stigma and active help-seeking: Systematic review and meta-analysis

Published online by Cambridge University Press:  02 January 2018

Nina Schnyder ,
Radoslaw Panczak ,
Nicola Groth  and
Frauke Schultze-Lutter
Nina Schnyder*
Affiliation:
University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern
Radoslaw Panczak
Affiliation:
Institute of Social and Preventive Medicine, University of Bern
Nicola Groth
Affiliation:
University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
Frauke Schultze-Lutter
Affiliation:
University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
*
Nina Schnyder, University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, Haus A, 3000 Bern 60, Switzerland. Email: nina.schnyder@kjp.unibe.ch
Rights & Permissions [Opens in a new window]

Abstract

Background

Mental disorders create high individual and societal costs and burden, partly because help-seeking is often delayed or completely avoided. Stigma related to mental disorders or mental health services is regarded as a main reason for insufficient help-seeking.

Aims

To estimate the impact of four stigma types (help-seeking attitudes and personal, self and perceived public stigma) on active help-seeking in the general population.

Method

A systematic review of three electronic databases was followed by random effect meta-analyses according to the stigma types.

Results

Twenty-seven studies fulfilled eligibility criteria. Participants' own negative attitudes towards mental health help-seeking (OR = 0.80, 95% CI 0.73–0.88) and their stigmatising attitudes towards people with a mental illness (OR = 0.82, 95% CI 0.69–0.98) were associated with less active help-seeking. Self-stigma showed insignificant association (OR = 0.88, 95% CI 0.76–1.03), whereas perceived public stigma was not associated.

Conclusions

Personal attitudes towards mental illness or help-seeking are associated with active help-seeking for mental problems. Campaigns promoting help-seeking and fighting mental illness-related stigma should target these personal attitudes rather than broad public opinion.

Type
Review Articles
Information
The British Journal of Psychiatry , Volume 210 , Issue 4 , April 2017 , pp. 261 - 268
Copyright
Copyright © Royal College of Psychiatrists, 2017 

Mental disorders are the leading cause of disability worldwide, accounting for 23% of all non-fatal burden. Reference Whiteford, Degenhardt, Rehm, Baxter, Ferrari and Erskine1 Approximately 38% of the EU population experience a mental disorder each year, Reference Wittchen, Jacobi, Rehm, Gustavsson, Svensson and Jonsson2 causing significant societal costs, estimated at €453 billion in Europe in 2010; in the USA costs were $300 billion in 2002–2003. Reference Gustavsson, Svensson, Jacobi, Allgulander, Alonso and Beghi3,Reference Reeves, Strine, Pratt, Thompson, Ahluwalia and Dhingra4 Mental disorders are treatable and potentially preventable. Reference Barrera, Torres and Munoz5–Reference Waddell, Hua, Garland, Peters and McEwan7 However, help-seeking is often delayed or completely absent. Reference Wang, Angermeyer, Borges, Bruffaerts, Tat Chiu and de Girolamo8 The low treatment rate further aggravates burden and costs, Reference Campion, Bhui and Bhugra9 as untreated individuals are more likely to experience problematic interpersonal and family functioning and have lower life expectancies. Reference Bhatia and Bhatia10–Reference Rugulies13 Prevention of mental disorders through early intervention and the encouragement of help-seeking are major challenges for public health. 14,15 However, several factors influence help-seeking for mental health problems. Desire to handle the problem on one's own, low perceived need, low mental health literacy and financial factors are associated with a reduction in help-seeking. Reference Adler, Britt, Riviere, Kim and Thomas16–Reference Mojtabai, Olfson, Sampson, Jin, Druss and Wang20 Negative and stigmatising attitudes towards mental illness, and towards help-seeking and people with mental illness, further referred to as stigma, are other important barriers to help-seeking. Reference Clement, Schauman, Graham, Maggioni, Evans-Lacko and Bezborodovs21–Reference Thornicroft27

Commonly, four stigma types that influence help-seeking can be distinguished: perceived public stigma (PublicS), personal stigma (PersonS), self-stigma (SelfS) and attitudes towards help-seeking (HelpA). PublicS and PersonS are two types of public stigma (also referred to as social or enacted stigma), defined as the stigmatising perception about a person who has a mental illness endorsed collectively by members of the general population. Reference Corrigan22,Reference Rusch, Corrigan, Knifton and Quinn28–Reference Vogel, Wade and Haake31 More specifically, PublicS is understood to be the individual's perception of public stigma, Reference Corrigan22 as measured by Link's Perceived Devaluation Discrimination Scale; Reference Link32 PersonS, on the other hand, describes personal attitudes towards members of a stigmatised group, Reference Corrigan, Kerr and Knudsen29,Reference Eisenberg, Downs, Golberstein and Zivin33–Reference Schomerus, Matschinger and Angermeyer37 and can find a behavioural expression in the desire for social distance. Reference Angermeyer, Holzinger, Carta and Schomerus38 When these two types of public stigma were compared, endorsement of PublicS was substantially higher than PersonS. Reference Eisenberg, Downs, Golberstein and Zivin33 SelfS (also called internalised or anticipated stigma) occurs when an individual affected by a mental illness endorses stereotypes about mental illness, anticipates social rejection, considers stereotypes to be self-relevant and believes himself or herself to be a devalued member of society. Reference Rusch, Corrigan, Knifton and Quinn28–Reference Link, Yang, Phelan and Collins30,Reference Corrigan and Watson39–Reference Ritsher and Phelan42 HelpA includes the perception of a need for help, stigma tolerance associated with seeking such services, openness regarding one's problems and confidence that the help will be of assistance. Reference Fischer and Turner43 Overall, stigma is a multifaceted concept and has, therefore, been measured with a variety of instruments. Reference Rusch, Corrigan, Knifton and Quinn28,Reference Stevelink, Wu, Voorend and van Brakel44

Recent reviews of the influence of mental health-related stigma on help-seeking have reported that stigma, in particular SelfS and HelpA, had negative effects on help-seeking. Reference Clement, Schauman, Graham, Maggioni, Evans-Lacko and Bezborodovs21–Reference Thornicroft27 Many of these studies did not distinguish between intended or recommended and active help-seeking, thereby referring to the Theory of Planned Behaviour, Reference Ajzen45 which proposes that intentions correlate strongly with behaviour. Reference McEachan, Conner, Taylor and Lawton46 In practice, however, although most people would recommend seeking professional help for mental problems, Reference Holzinger, Matschinger and Angermeyer47 or report an intention to seek help when affected by mental problems themselves, Reference Lally, O'Conghaile, Quigley, Bainbridge and McDonald48 a considerably lower proportion actually sought it. Reference Wang, Angermeyer, Borges, Bruffaerts, Tat Chiu and de Girolamo8 Stigma might be one reason for not putting help-seeking intentions into action. However, only active help-seeking will reduce the burden of the disorder. We conducted, for the first time, a systematic review and meta-analysis to estimate the association of the four types of stigma with active help-seeking in the general population. Additionally, we estimated the role of potential moderating study characteristics such as sample source or response rate.

Method

Our systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (see online supplement DS1). Reference Liberati, Altman, Tetzlaff, Mulrow, Gotzsche and Ioannidis49 Inclusion and exclusion criteria were specified and documented in advance by F.S.L. and N.S. (see online supplement DS2). We included only studies with general population rather than clinical samples to reduce potential selection bias towards active help-seeking. Quantitative, cross-sectional or longitudinal surveys examining the impact of at least one of the four stigma types on actual help-seeking were eligible. We searched three electronic databases (PubMed, PsycINFO and EMBASE) with no language restriction. The last search was carried out on 10 July 2015. Potentially relevant studies published in peer-reviewed journals since 1990 were identified using keywords (adapted to the respective database) related to mental disorder AND stigma AND help-seeking (see online supplement DS3 for full search strategies and details of keywords). We also scrutinised the reference lists of relevant papers, Reference Clement, Schauman, Graham, Maggioni, Evans-Lacko and Bezborodovs21–Reference Thornicroft27 and contacted expert researchers for potential additional studies.

Study selection and data extraction

We screened the titles and abstracts of all studies that met the search criteria and then consulted the full text to determine eligibility. We revised the data extraction sheet during the extraction process until it was applicable to all studies. Authors N.S. and N.G. extracted data independently, with potential disagreements resolved by discussion with F.S.L.. Authors of eligible studies were contacted for additional information or missing data, if necessary. We extracted the following information:

  1. (a) publication details: author, year of publication, location and time of survey, setting and design;

  2. (b) source of study population: general population sample (GPS) or subgroups of GPS such as students or military personnel (further referred to as selective GPS samples), total number of survey participants, number of participants used in analyses, random selection and representativeness;

  3. (c) stigma measure: scale/items, reliability of scale and classification into one of the five stigma types – four specific stigmas, and ‘general stigma’ (GenS) for studies that did not survey a distinct stigma but combined more than one type into a single variable;

  4. (e) help-seeking time-frame: help-seeking within the past 12 months v. lifetime help-seeking;

  5. (e) statistical method;

  6. (f) results: effect size of association with corresponding confidence interval or coefficient of association with corresponding standard error and covariates.

If a study reported more than one stigma type, we extracted all of them. We used estimates from the fully adjusted models. We recorded the direction of the stigma measure (e.g. higher scores indicate more stigma) and its range, as well as the direction of the association. Finally, we rated the quality of reporting according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement, Reference Von Elm, Altman, Egger, Pocock, Gotzsche and Vandenbroucke50 with a higher number of reported items representing a higher quality score.

Statistical analysis

The odds ratio (OR) for stigma effect on help-seeking was the main outcome. We calculated ORs and 95% confidence intervals if only regression coefficients and standard errors (s.e.) were provided. We combined ORs in random effect meta-analyses. We conducted separate meta-analyses for each stigma measure to detect their independent effect on help-seeking. ORs of studies reporting lower levels of stigma increasing (rather than higher levels of stigma decreasing) the odds of help-seeking were inversed. Reference Osborne and Osborne51 Heterogeneity was assessed using the I 2 statistic; this provides information about the percentage of total variation across individual studies that cannot be explained by chance. Reference Higgins, Thompson, Deeks and Altman52 Values range from 0% to 100%, with higher values showing an increase in heterogeneity: 25%, 50% and 75% have been commonly used to represent low, moderate and high heterogeneity, respectively. Reference Higgins, Thompson, Deeks and Altman52 We additionally examined the heterogeneity using τ2 statistics. Unlike I 2, τ2 is not affected by the number of participants included in the meta-analysis. Reference Rucker, Schwarzer, Carpenter and Schumacher53 Its values range from 0 to infinity, with higher values indicating higher heterogeneity. Values of 0.04, 0.16 and 0.36 have been commonly used to represent low, moderate and high heterogeneity, respectively. Reference Da Costa and Juni54 We assessed bias of small study effects with funnel plots and Egger's test. Reference Sterne and Egger55 Subgroup analyses were pre-specified to investigate whether effects of stigma on help-seeking depended on specific study characteristics. We stratified analyses according to study population (GPS v. selective GPS sample), time of help-seeking (within the past 12 months v. lifetime), survey period (before 2006 v. 2006 and after), response rate (<70% v. ⩾70%), quality of reporting (higher v. lower quality based on the median STROBE checklist score, with studies scoring 25 or above deemed higher quality) and setting (questionnaire v. interview). We defined two stratifications post hoc according to healthcare systems – private (USA) v. state-involved (other countries) – and study design (cross-sectional v. prospective). Stratification was only conducted if more than one study per group was found. All statistical analyses were done in Stata version 14 (Stata Corporation, College Station, Texas, USA).

Results

We identified 7968 papers in the initial search of databases and the reference lists of previous reviews (Fig. 1). Reference Clement, Schauman, Graham, Maggioni, Evans-Lacko and Bezborodovs21–Reference Thornicroft27 After removing 1163 duplicates we screened the titles and abstracts of 6805 potentially eligible studies. We assessed the full text of 201 articles. We contacted authors of nine studies for additional data, five of whom responded and their findings were thus included. One of the studies with missing data provided data for only one stigma type, Reference Blais, Tsai, Southwick and Pietrzak56 and was therefore only partially included. Two were excluded owing to missing data. One study used robust standard errors (RSE), did not report CIs, and the authors were not able to provide parametric standard errors or confidence intervals. This study was excluded because the calculation of confidence intervals from RSEs leads to different results from those when standard errors are used. One study reported a lower CI limit equal to the estimate; Reference Green, Hunt and Stain64 we assumed it to be a rounding problem and with lack of an author response used data ‘as is’. A final total of 27 studies were included in the meta-analyses. Reference Adler, Britt, Riviere, Kim and Thomas16,Reference Eisenberg, Downs, Golberstein and Zivin33,Reference Blais, Tsai, Southwick and Pietrzak56–Reference Vogt, Fox and Di Leone80

Fig. 1 PRISMA flowchart of selection of eligible studies, with reasons for full-text exclusion.

General study characteristics

Altogether, the 27 studies included 31 677 participants aged 15 years or older. They included GPS (13 studies) or subsamples of non-clinical GPS (14 studies). Four studies used a prospective design. All studies but one, from Singapore, Reference Nyunt, Chiam, Kua and Ng75 were conducted in Western societies (Europe, Australia or USA). Included studies investigated at least one of the four types of stigma, but varied greatly in their assessment (online supplement DS4). Thirteen assessed PublicS, with six of them using the Perceived Devaluation Discrimination (D-D) Scale, Reference Link32 or its adaptation. Reference Spiegelhalter, Abrams and Myles81 Of the six studies that investigated PersonS, two used a social distance scale and two employed an adaptation of the D-D scale (‘most people’ replaced with ‘I’). Three of the five studies investigating SelfS used a single-item assessment. Four of the 13 studies investigating HelpA used Fischer's Attitudes Towards Seeking Professional Psychological Help scale, Reference Fischer and Turner43 and two used a single item scale. Seven studies used a non-specific general stigma measure (see online Table DS1). All studies reported help-seeking from a formal, professional source such as a psychiatrist, psychotherapist or general practitioner. Only one study also investigated informal, lay sources of help, such as family or a priest. To improve the homogeneity of our outcome measure we only extracted data for formal, professional sources. Twenty studies reported recent help-seeking (within the past 12 months), seven reported lifetime help-seeking and one study reported both. Reference Green, Hunt and Stain64 From the latter we extracted only data for lifetime help-seeking.

Influence of stigma type on help-seeking

Figure 2 shows the results of the five random effect meta-analyses for each of the stigma types, as well as general stigma. Negative HelpA (OR = 0.80, 95% CI 0.73–0.88) and higher PersonS (OR = 0.82, 95% CI 0.69–0.98) were associated with less active help-seeking for mental health problems. Higher SelfS (OR = 0.88, 95% CI 0.76–1.03) showed an indication of less active help-seeking, but the results were not statistically significant. PublicS (OR = 0.97, 95% CI 0.93–1.02) and the unspecific GenS (OR = 0.98, 95% CI 0.84–1.15) were not associated with active help-seeking. There was substantial between-study heterogeneity in each of the meta-analyses, with I 2 ranging from 58% for PublicS to 91% for PersonS. Between-study variance τ2, by contrast, was low to moderate, Reference Spiegelhalter, Abrams and Myles81,Reference Sarikaya, da Costa, Baumgartner, Duclos, Touze and de Bray82 ranging from 0.003 for PublicS to 0.044 for PersonS. Only HelpA showed evidence of small-study bias (Egger's test, P<0.01; all other stigma measures P>0.294; see online figure DS1 for funnel plots and P values).

Fig. 2 Forest plot of the results of meta-analyses of five stigma types on active help-seeking.

Odds ratios (OR) and 95% confidence intervals (CI) of individuals studies and pooled estimates of separate random effects meta-analyses. OR<1 indicates negative associations between stigma or attitudes and help-seeking, i.e. higher levels of stigma are associated iwth less help-seeking. Estimates of between-study variance: τ2 = 0.018 for HelpA, τ2 = 0.044 for PersonS and τ2 = 0.023 for GenS. The study by ten Have et al (2010) estimated relative risk ratio; OR estimate was not reported and not available from study authors.

Subgroup analyses

The stratified meta-analyses for the most part did not demonstrate any major influence of study characteristics (Fig. 3; online supplement DS5). Associations between HelpA and help-seeking were weakly influenced by type of study population, time of help-seeking, setting, response rate, design and quality of reporting. We found stronger negative associations in surveys with random v. selective general population samples, recent v. lifetime help-seeking, personal assessments v. questionnaires, higher v. lower response rates, prospective v. cross-sectional design and lower v. higher reporting quality. Associations between SelfS and help-seeking were weakly influenced by study setting, survey period and response rate. We found stronger negative associations in surveys with personal assessments v. questionnaires, those conducted before v. after 2006, and with higher v. lower response rates. There was a small effect of year of study publication on the association between GenS and help-seeking, with older studies reporting slightly stronger effects. Associations between PersonS and help-seeking were weakly influenced by study design, with cross-sectional studies reporting negative associations whereas prospective studies did not report significant associations. Stratification by the country's type of healthcare insurance did not show any effect. Results of stratified analyses of PublicS and PersonS were robust across all the investigated strata. A decline in between-study heterogeneity was observed in some stratification analyses. None of the stratification analyses could fully explain the observed heterogeneity in all of the associations between stigma types and help-seeking.

Fig. 3 Forest plot of the results of stratified meta-analyses of five stigma types on active help-seeking.

Pooled estimates (odds ratio; OR) and 95% confidence interval (CI) of each strata are reported. Dashed lines represent 95% CI of non-stratified analyses (top row). GenS, general stigma; HelpA, help-seeking attitude; PersonS, personal stigma; PublicS, perceived public stigma; SelfS, self-stigma. OR<1 indicates negative associations between stigma or attitudes and help-seeking, i.e. higher levels of stigma are associated with less help-seeking.

Discussion

Our results confirm the notion that stigma related to mental illness or mental health services is directly associated with less active help-seeking for mental problems in the general population. The strength of association depends on the type of stigma, rather than being the case for stigma in general. We found associations between less active help-seeking and participants' levels of HelpA and PersonS. SelfS showed insignificant associations. PublicS and unspecific GenS showed no association. These findings are in line with social psychological studies demonstrating that attitudes towards a behaviour are associated with engaging in the behaviour itself in other situations. Reference Ajzen and Fishbein84 Persons with pronounced PersonS might try to avoid contact with the stigmatised group, Reference Allport85–Reference Voci87 and therefore refrain from help-seeking. PublicS and SelfS failed to show significant associations, but both pointed to the expected direction of more stigma predicting less active help-seeking. The majority of studies surveying SelfS used a single item asking about a person's embarrassment when thinking about help-seeking for his or her mental health problems. Even though embarrassment/shame seems to be a barrier to help-seeking intentions, Reference Rusch, Muller, Ajdadic-Gross, Rodgers, Corrigan and Rossler88 it is unclear whether this facet of SelfS can fully capture this stigma type. Reference Omori, Mori and White89 Although a recent systematic review found a small association between SelfS and help-seeking (intentions/recommendations and active), Reference Clement, Schauman, Graham, Maggioni, Evans-Lacko and Bezborodovs21 the influence of SelfS on active help-seeking in the general population needs further exploration. To assess stigma related to mental illness and its impact on help-seeking, future studies using GenS might also consider assessing one of the more specific stigma types.

Although the four stigma types revealed independent effects on help-seeking, they are interrelated. Reference Jennings, Cheung, Britt, Goguen, Jeffirs and Peasley66,Reference Corrigan90–Reference Coppens, Van Audenhove, Scheerder, Arensman, Coffey and Costa94 Self-stigma seems to arise from an individual's own attitudes towards people with mental illness, as well as from (perceived) public stigma. Reference Jennings, Cheung, Britt, Goguen, Jeffirs and Peasley66,Reference Omori, Mori and White89–Reference Link and Phelan91 Perceived public stigma, personal stigma and self-stigma seem to predict attitudes towards help-seeking. Reference Jennings, Cheung, Britt, Goguen, Jeffirs and Peasley66,Reference Corrigan, Bink, Schmidt, Jones and Rusch92–Reference Vogel, Wade and Haake95 Furthermore, studies have suggested that stigma is associated with a low perceived need for help, Reference Jennings, Cheung, Britt, Goguen, Jeffirs and Peasley66,Reference Preville, Mechakra, Vasiliadis, Quesnel, Gontijo-Guerra and Lamoureux-Lamarche96,Reference Kanehara, Umeda and Kawakami97 and a strong desire to handle the problem on one's own. Reference Andrade, Alonso, Mneimneh, Wells, Al-Hamzawi and Borges98 These two factors were proposed as important barriers in considering delayed or no help-seeking. Reference Kanehara, Umeda and Kawakami97,Reference Andrade, Alonso, Mneimneh, Wells, Al-Hamzawi and Borges98 Future studies might consider them as additional moderators of active help-seeking and in interaction with stigmatising attitudes. Reference Jennings, Cheung, Britt, Goguen, Jeffirs and Peasley66 It is crucial to understand the complexity of various types of stigma, their role in help-seeking for mental health problems, and their direct impact on mental problems such as suicidality, Reference Oexle, Rusch, Viering, Wyss, Seifritz and Xu99 in order to develop efficient public campaigns promoting help-seeking.

Several anti-stigma and information campaigns aiming to improve people's knowledge about mental illness (mental health literacy) and to reduce stigma associated with mental illness have been conducted in recent years. Reference Mehta, Clement, Marcus, Stona, Bezborodovs and Evans-Lacko100 Whereas knowledge about the causes and treatment of mental illness seemed to improve over time and after campaigns, Reference Thornicroft, Wyllie, Thornicroft and Mehta101–Reference Yap, Reavley, Mackinnon and Jorm104 reducing negative attitudes has proved to be more difficult. Reference Angermeyer, Matschinger and Schomerus102 Only 7% of the world population reported a belief that mental illness can be overcome, Reference Seeman, Tang, Brown and Ing105 and those most reluctant to seek help perceived the lowest benefits in engaging in this behaviour. Reference O'Connor, Martin, Weeks and Ong106 To promote help-seeking, findings from these meta-analyses suggest that campaigns should address negative personal attitudes by strengthening beliefs in the treatability of mental illness. Advanced, biologically oriented mental health literacy, Reference Schomerus, Schwahn, Holzinger, Corrigan, Grabe and Carta107 and activation of fear due to media reports, Reference Niederkrotenthaler, Reidenberg, Till and Gould108 can increase the desire for social distance towards people with mental illness. Therefore, the content of campaigns should be chosen thoughtfully to avoid unintended effects. Reference Corrigan109

Future studies

Subgroup analyses suggested that associations between stigma and help-seeking can depend on certain study characteristics, in particular response rate and assessment setting. Higher response rates were generally associated with stronger negative effects of stigma. As higher response rates can reduce a potential non-responder bias, Reference Asch, Jedrziewski and Christakis110 they lead to more reliable results. Reference Baruch and Holtom111 Consequently, reporting of response rates is crucial for assessing the validity and reliability of research findings, Reference Baruch and Holtom111 which should be considered in future surveys. With regard to differences in setting, face-to-face assessments were associated with stronger negative effects than were self-reports by questionnaire. Since the expression of stigmatising attitudes towards people with mental illness or towards mental health services might be affected by social desirability bias, Reference Krumpal112 this is a surprising finding. Social desirability should have a greater role in personal contact. Surveys investigating social taboos (such as stigmatising attitudes) showed increased levels of response accuracy when data were assessed using self-administration (such as questionnaires), compared with interviewer administration. Reference Krumpal112 Questionnaires might therefore be more suitable when researching stigma. In our analyses three out of four studies with personal assessment reported high response rates; Reference Mojtabai and Crum72,Reference Mojtabai, Olfson and Mechanic73,Reference Thoits79 the fourth did not report a response rate. Reference Interian, Ang, Gara, Link, Rodriguez and Vega65 Four studies using questionnaires reported low rates, Reference Aromaa, Tolvanen, Tuulari and Wahlbeck58,Reference Jorm, Medway, Christensen, Korten, Jacomb and Rodgers67,Reference Smith, McGovern and Peck77,Reference Vogt, Fox and Di Leone80 two reported none, Reference Elhai, Schweinle and Anderson60,Reference Rusch, Kanter, Manos and Weeks76 and only three reported high response rates. Reference Adler, Britt, Riviere, Kim and Thomas16,Reference Kim, Britt, Klocko, Riviere and Adler69,Reference Komiti, Judd and Jackson70 Inspection of single study effects indicates that across these questionnaire studies, those with high response rates reported a stronger negative association. Sampling bias associated with lower response rates might therefore have a more crucial role in detecting associations between stigma and active help-seeking than the mode of assessment.

The association between HelpA and help-seeking was stronger when recent rather than lifetime help-seeking was considered. Furthermore, the association between HelpA and help-seeking was stronger in prospective studies, whereas the association between PersonS and help-seeking disappeared in prospective studies. These results indicate the importance of a timely association between current attitudes and active help-seeking. Past help-seeking might shape a person's attitude towards help-seeking. For future help-seeking, only attitudes towards help-seeking but not personal attitudes towards people with a mental illness seem to be obstructive. More prospective studies of stigma and help-seeking are needed to disentangle this interplay and to overcome the problem of reciprocal or reversed causation in cross-sectional studies.

Strengths and limitations

This is the first meta-analysis to extricate the influence of types of stigma on active help-seeking, focusing on the general population (the main target group of efforts to increase help-seeking) and considering study characteristics as potential moderators. However, our study has some limitations. We could have missed relevant studies owing to publication bias, although only HelpA showed some evidence of possible small-study bias. Several characteristics of the studies could have contributed to observed heterogeneity between them: studies used a large variety of stigma measures, differing in reliability and number of response categories. There was little information on exact operationalisation of stigma measures in the analyses; even if the number of categories was reported, it was often not specified whether stigma measures were used as dichotomous, categorical or continuous predictors, whether a cut-off for continuous measures was applied or whether the number of categories was collapsed. Future studies should report not only which stigma measure was used but also how it was handled during the analyses, all of which can affect the association with outcomes. Most studies adjusted for age and gender but differed greatly in their remaining adjustments. Future studies should adjust for variables such as mental health literacy, Reference Gulliver, Griffiths and Christensen19 perceived need, Reference Vogel, Wade and Haake95 or desire to handle the problem on one's own, Reference Andrade, Alonso, Mneimneh, Wells, Al-Hamzawi and Borges98 which seem to influence mental health help-seeking. We would encourage additional reporting of unadjusted associations in future studies to allow better comparison and research synthesis. All studies were conducted in high-income, mostly Western countries. The results of these meta-analyses may not generalise to non-Western or low-income countries. Despite these limitations, our results reinforce efforts to challenge mental health-related stigma as a major goal for global mental health. Reference Collins, Patel, Joestl, March, Insel and Daar113 Its reduction might facilitate help-seeking by those affected by mental illness.

Future research

The results confirmed the negative association between stigma and active help-seeking, underscoring the important differential role of stigma types, with a minor role of perceived public attitudes compared with the individual's own attitudes. Furthermore, sensitivity analyses highlighted the importance of a sufficiently high response rate, as well as the control of potential reciprocal causation, and point towards a smaller social desirability bias in interview studies than is commonly assumed. Future studies on the effect of stigma on help-seeking for mental problems in the general population should use questionnaires that differentially assess stigma types, employ a prospective design, take care to monitor and increase response rates, and assess potential confounders, such as an independent low perceived need for help or a strong desire to handle problems on one's own. Reference Jennings, Cheung, Britt, Goguen, Jeffirs and Peasley66,Reference Vogel, Wade and Haake95–Reference Andrade, Alonso, Mneimneh, Wells, Al-Hamzawi and Borges98 Well-designed general population studies are needed to develop and optimise campaigns promoting mental health by facilitating early help-seeking and fighting mental illness stigma.

Acknowledgements

The authors gratefully acknowledge the help of the following researchers in providing additional data and studies, as well as for support in statistical questions: (in alphabetical order) S. M. Alang, M. C. Angermeyer, P. Bebbington, T. Becker, R. K. Blais, H. L. Cheng, T. C. Cheng, R. Dempster, J. D. Elhai, F. A. Gary, P. Held, K. S. Jennings, A. F. Jorm, A. Komiti, M. Koschorke, K. D. Locke, C. Michel, R. Mojtabai, A. Moser, M. O'Connor, D. Rabiner, S. G. Riedel-Heller, W. Rössler, N. Rüsch, N. Sartorius, S. J. Schmidt, G. Schomerus, M. ten Have, P. A. Thoits, G. Thornicroft, D. S. Vogt and M. Zwahlen.

Footnotes

Declaration of interest

None.

References

1 Whiteford, HA, Degenhardt, L, Rehm, J, Baxter, AJ, Ferrari, AJ, Erskine, HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet 2013; 382: 1575–86.Google Scholar
2 Wittchen, HU, Jacobi, F, Rehm, J, Gustavsson, A, Svensson, M, Jonsson, B, et al. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol 2011; 21: 655–79.Google Scholar
3 Gustavsson, A, Svensson, M, Jacobi, F, Allgulander, C, Alonso, J, Beghi, E, et al. Cost of disorders of the brain in Europe 2010. Eur Neuropsychopharmacol 2011; 21: 718–79.Google Scholar
4 Reeves, WC, Strine, TW, Pratt, LA, Thompson, W, Ahluwalia, I, Dhingra, SS, et al. Mental illness surveillance among adults in the United States. MMWR Surveill Summ 2011; 60: 1–32.Google ScholarPubMed
5 Barrera, AZ, Torres, LD, Munoz, RF. Prevention of depression: the state of the science at the beginning of the 21st Century. Int Rev Psychiatry 2009; 19: 655–70.Google Scholar
6 Bienvenu, OJ, Ginsburg, GS. Prevention of anxiety disorders. Int Rev Psychiatry 2009; 19: 647–54.Google Scholar
7 Waddell, CK, Hua, JM, Garland, OM, Peters, RD, McEwan, K. Preventing mental disorders in children: a systematic review to inform policy-making. Can J Public Health 2007; 98: 166–73.CrossRefGoogle ScholarPubMed
8 Wang, PS, Angermeyer, MC, Borges, G, Bruffaerts, R, Tat Chiu, W, de Girolamo, G, et al. Delay and failure in treatment seeking after first onset of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World Psychiatry 2007; 6: 177–85.Google ScholarPubMed
9 Campion, J, Bhui, K, Bhugra, D. European Psychiatric Association (EPA) guidance on prevention of mental disorders. Eur Psychiatry 2012; 27: 68–80.CrossRefGoogle ScholarPubMed
10 Bhatia, SK, Bhatia, SC. Childhood and adolescent depression. Am Fam Physician 2007; 75: 73–80.Google ScholarPubMed
11 Kessler, RC, Foster, CL, Saunders, WB, Stang, PE. Social consequences of psychiatric disorders, I: Educational attainment. Am J Psychiatry 1995; 152: 1026–32.Google Scholar
12 Mezuk, B, Eaton, WW, Albrecht, S, Golden, SH. Depression and type 2 diabetes over the lifespan: a meta-analysis. Diabetes Care 2008; 31: 2383–90.CrossRefGoogle ScholarPubMed
13 Rugulies, R. Depression as a predictor for coronary heart disease. Am J Prev Med 2002; 23: 51–61.CrossRefGoogle ScholarPubMed
14 World Health Organization. Prevention of Mental Disorders: Effective Interventions and Policy Options: Summary Report. WHO, 2004.Google Scholar
15 World Health Organization. Promoting Mental Health: Concepts, Emerging Evidence, Practice: Summary Report. WHO, 2004.Google Scholar
16 Adler, AB, Britt, TW, Riviere, LA, Kim, PY, Thomas, JL. Longitudinal determinants of mental health treatment-seeking by US soldiers. Br J Psychiatry 2015; 207: 346–50.CrossRefGoogle ScholarPubMed
17 Andrade, LH, Alonso, J, Mneimneh, Z, Wells, JE, Al-Hamzawi, A, Borges, G, et al. Barriers to mental health treatment: results from the WHO World Mental Health surveys. Psychol Med 2014; 44: 1303–17.Google Scholar
18 Chen, LY, Crum, RM, Martins, SS, Kaufmann, CN, Strain, EC, Mojtabai, R. Service use and barriers to mental health care among adults with major depression and comorbid substance dependence. Psych Serv 2013; 64: 863–70.CrossRefGoogle ScholarPubMed
19 Gulliver, A, Griffiths, KM, Christensen, H. Perceived barriers and facilitators to mental health help-seeking in young people: a systematic review. BMC Psychiatry 2010; 10: 113–22.CrossRefGoogle ScholarPubMed
20 Mojtabai, R, Olfson, M, Sampson, NA, Jin, R, Druss, B, Wang, PS, et al. Barriers to mental health treatment: results from the National Comorbidity Survey Replication. Psychol Med 2011; 41: 1751–61.CrossRefGoogle ScholarPubMed
21 Clement, S, Schauman, O, Graham, T, Maggioni, F, Evans-Lacko, S, Bezborodovs, N, et al. What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies. Psychol Med 2015; 45: 11–27.CrossRefGoogle ScholarPubMed
22 Corrigan, PW. How stigma interferes with mental health care. Am Psychol 2004; 59: 614–25.CrossRefGoogle ScholarPubMed
23 Corrigan, PW, Druss, BG, Perlick, DA. The impact of mental illness stigma on seeking and participating in mental health care. Psychol Sci Public Interest 2014; 15: 37–70.CrossRefGoogle ScholarPubMed
24 Gary, FA. Stigma: barrier to mental health care among ethnic minorities. Issues Ment Health Nurs 2009; 26: 979–99.Google Scholar
25 Schomerus, G, Angermeyer, MC. Stigma and its impact on help-seeking for mental disorders: what do we know? Epidemiol Psichiatr Soc 2008; 17: 31–7.CrossRefGoogle ScholarPubMed
26 Sharp, ML, Fear, NT, Rona, RJ, Wessely, S, Greenberg, N, Jones, N, et al. Stigma as a barrier to seeking health care among military personnel with mental health problems. Epidemiol Rev 2015; 37: 144–62.CrossRefGoogle ScholarPubMed
27 Thornicroft, G. Stigma and discrimination limit access to mental health care. Epidemiol Psichiatr Soc 2008; 17: 14–9.Google Scholar
28 Rusch, N, Corrigan, PW. Stigma, discrimination and mental health. In Public Mental Health. Global Perspectives (eds Knifton, L, Quinn, N): 94–108. Open University Press, 2013.Google Scholar
29 Corrigan, PW, Kerr, A, Knudsen, L. The stigma of mental illness: explanatory models and methods for change. Appl Prev Psychol 2005; 11: 179–90.Google Scholar
30 Link, BG, Yang, LH, Phelan, JC, Collins, PY. Measuring mental illness stigma. Schizophr Bull 2004; 30: 511–41.Google Scholar
31 Vogel, DL, Wade, NG, Haake, S. Measuring the self-stigma associated with seeking psychological help. J Couns Psychol 2006; 53: 325–37.CrossRefGoogle Scholar
32 Link, BG. Understanding labeling effects in the area of mental disorders: an assessment of the effect of expectations of rejection. Am Sociol Rev 1987; 52: 96–112.CrossRefGoogle Scholar
33 Eisenberg, D, Downs, MF, Golberstein, E, Zivin, K. Stigma and help seeking for mental health among college students. Med Care Res Rev 2009; 66: 522–41.Google Scholar
34 Griffiths, KM, Christensen, H, Jorm, AF, Evans, K, Groves, C. Effect of web-based depression literacy and cognitive–behavioural therapy interventions on stigmatising attitudes to depression. Randomised controlled trial. Br J Psychiatry 2004; 185: 342–9.CrossRefGoogle ScholarPubMed
35 Griffiths, KM, Nakane, Y, Christensen, H, Yoshioka, K, Jorm, AF, Nakane, H. Stigma in response to mental disorders: a comparison of Australia and Japan. BMC Psychiatry 2006; 6: 21–33.CrossRefGoogle ScholarPubMed
36 Reavley, NJ, Jorm, AF. Stigmatising attitudes towards people with mental disorders: changes in Australia over 8 years. Psychiatry Res 2012; 197: 302–6.CrossRefGoogle ScholarPubMed
37 Schomerus, G, Matschinger, H, Angermeyer, MC. The stigma of psychiatric treatment and help-seeking intentions for depression. Eur Arch Psychiatry Clin Neurosci 2009; 259: 298–306.CrossRefGoogle ScholarPubMed
38 Angermeyer, MC, Holzinger, A, Carta, MG, Schomerus, G. Biogenetic explanations and public acceptance of mental illness: systematic review of population studies. Br J Psychiatry 2011; 199: 367–72.Google Scholar
39 Corrigan, PW, Watson, AC. The paradox of self-stigma and mental illness. Clin Psychol Sci Pract 2002; 9: 35–53.Google Scholar
40 Corrigan, PW, Watson, AC, Barr, L. The self-stigma of mental illness: implications for self-esteem and self-efficacy. J Soc Clin Psychol 2006; 25: 875–84.Google Scholar
41 Livingston, JD, Boyd, JE. Correlates and consequences of internalized stigma for people living with mental illness: a systematic review and meta-analysis. Soc Sci Med 2010; 71: 2150–61.CrossRefGoogle ScholarPubMed
42 Ritsher, JB, Phelan, JC. Internalized stigma predicts erosion of morale among psychiatric outpatients. Psychiatry Res 2004; 129: 257–65.Google Scholar
43 Fischer, EH, Turner, JI. Orientations to seeking professional help: development and research utility of an attitude scale. J Consult Clin Psychol 1970; 35: 79–90.Google Scholar
44 Stevelink, SAM, Wu, IC, Voorend, CG, van Brakel, WH. The psychometric assessment of internalized stigma instruments: a systematic review. Stigma Res Action 2012; 2: 100–18.Google Scholar
45 Ajzen, I. The theory of planned behavior. Organ Behav Hum Decis Process 1991; 50: 179–211.Google Scholar
46 McEachan, RRC, Conner, M, Taylor, NJ, Lawton, RJ. Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis. Health Psychol Rev 2011; 5: 97–144.CrossRefGoogle Scholar
47 Holzinger, A, Matschinger, H, Angermeyer, MC. What to do about depression? Help-seeking and treatment recommendations of the public. Epidemiol Psychiatr Sci 2011; 20: 163–69.CrossRefGoogle Scholar
48 Lally, J, O'Conghaile, A, Quigley, S, Bainbridge, E, McDonald, C. Stigma of mental illness and help-seeking intention in university students. Psychiatrist 2013; 37: 253–60.Google Scholar
49 Liberati, A, Altman, DG, Tetzlaff, J, Mulrow, C, Gotzsche, PC, Ioannidis, JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 2009; 151: W65–94.Google Scholar
50 Von Elm, E, Altman, DG, Egger, M, Pocock, SJ, Gotzsche, PC, Vandenbroucke, JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Prev Med 2007; 45: 247–51.CrossRefGoogle ScholarPubMed
51 Osborne, JW. Bringing balance and technical accuracy to reporting odds ratios and the results of logistic regression analyses. In Best Practices in Quantitative Methods (ed Osborne, JW): 385–90. Sage, 2008.Google Scholar
52 Higgins, JP, Thompson, SG, Deeks, JJ, Altman, DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–60.CrossRefGoogle ScholarPubMed
53 Rucker, G, Schwarzer, G, Carpenter, JR, Schumacher, M. Undue reliance on I2 in assessing heterogeneity may mislead. BMC Med Res Methodol 2008; 8: 79–87.Google Scholar
54 Da Costa, BR, Juni, P. Systematic reviews and meta-analyses of randomized trials: principles and pitfalls. Eur Heart J 2014; 35: 3336–45.CrossRefGoogle ScholarPubMed
55 Sterne, JA, Egger, M. Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol 2001; 54: 1046–55.Google Scholar
56 Blais, RK, Tsai, J, Southwick, SM, Pietrzak, RH. Barriers and facilitators related to mental health care use among older veterans in the United States. Psych Serv 2015; 66: 500–6.CrossRefGoogle ScholarPubMed
57 Bambauer, KZ, Prigerson, HG. The Stigma Receptivity Scale and its association with mental health service use among bereaved older adults. J Nerv Ment Dis 2006; 194: 139–41.Google Scholar
58 Aromaa, E, Tolvanen, A, Tuulari, J, Wahlbeck, K. Personal stigma and use of mental health services among people with depression in a general population in Finland. BMC Psychiatry 2011; 11: 52–7.CrossRefGoogle Scholar
59 Downs, MF, Eisenberg, D. Help seeking and treatment use among suicidal college students. J Am Coll Health 2012; 60: 104–14.Google Scholar
60 Elhai, JD, Schweinle, W, Anderson, SM. Reliability and validity of the attitudes toward seeking professional psychological help scale-short form. Psychiatry Res 2008; 159: 320–9.Google Scholar
61 Elnitsky, CA, Chapman, PL, Thurman, RM, Pitts, BL, Figley, C, Unwin, B. Gender differences in combat medic mental health services utilization, barriers, and stigma. Mil Med 2013; 178: 775–84.CrossRefGoogle ScholarPubMed
62 Golberstein, E, Eisenberg, D, Gollust, SE. Perceived stigma and mental health care seeking. Psych Serv 2008; 59: 392–9.Google Scholar
63 Golberstein, E, Eisenberg, D, Gollust, SE. Perceived stigma and help-seeking behavior: longitudinal evidence from the healthy minds study. Psych Serv 2009; 60: 1254–6.Google Scholar
64 Green, AC, Hunt, C, Stain, HJ. The delay between symptom onset and seeking professional treatment for anxiety and depressive disorders in a rural Australian sample. Soc Psychiatry Psychiatr Epidemiol 2012; 47: 1475–87.CrossRefGoogle Scholar
65 Interian, A, Ang, A, Gara, MA, Link, BG, Rodriguez, MA, Vega, WA. Stigma and depression treatment utilization among Latinos: utility of four stigma measures. Psych Serv 2010; 61: 373–9.Google Scholar
66 Jennings, KS, Cheung, JH, Britt, TW, Goguen, KN, Jeffirs, SM, Peasley, AL, et al. How are perceived stigma, self-stigma, and self-reliance related to treatment-seeking? A three-path model. Psychiatr Rehabil J 2015; 38: 109–16.Google Scholar
67 Jorm, AF, Medway, J, Christensen, H, Korten, AE, Jacomb, PA, Rodgers, B. Attitudes towards people with depression: effects on the public's help-seeking and outcome when experiencing common psychiatric symptoms. Aust NZ J Psychiatry 2000; 34: 612–8.CrossRefGoogle ScholarPubMed
68 Judd, F, Jackson, H, Komiti, A, Murray, G, Fraser, C, Grieve, A, et al. Help-seeking by rural residents for mental health problems: the importance of agrarian values. Aust NZ J Psychiatry 2006; 40: 769–76.Google Scholar
69 Kim, PY, Britt, TW, Klocko, RP, Riviere, LA, Adler, AB. Stigma, negative attitudes about treatment, and utilization of mental health care among soldiers. Mil Psychol 2011; 23: 65–81.Google Scholar
70 Komiti, A, Judd, F, Jackson, H. The influence of stigma and attitudes on seeking help from a GP for mental health problems. Soc Psychiatry Psychiatr Epidemiol 2006; 41: 738–45.Google Scholar
71 Menke, R, Flynn, H. Relationships between stigma, depression, and treatment in white and African American primary care patients. J Nerv Ment Dis 2009; 197: 407–11.CrossRefGoogle ScholarPubMed
72 Mojtabai, R, Crum, RM. Perceived unmet need for alcohol and drug use treatments and future use of services: results from a longitudinal study. Drug Alcohol Depend 2013; 127: 59–64.CrossRefGoogle ScholarPubMed
73 Mojtabai, R, Olfson, M, Mechanic, D. Perceived need and help-seeking in adults with mood, anxiety, or substance use disorders. Arch Gen Psychiatry 2002; 59: 77–84.Google Scholar
74 Nadeem, E, Lange, JM, Edge, D, Fongwa, M, Belin, T, Miranda, J. Does stigma keep poor young immigrant and US-born black and Latina women from seeking mental health care? Psych Serv 2007; 58: 1547–54.Google Scholar
75 Nyunt, MS, Chiam, PC, Kua, EH, Ng, TP. Determinants of mental health service use in the national mental health survey of the elderly in Singapore. Clin Pract Epidemiol Ment Health 2009; 5: 2–10.Google Scholar
76 Rusch, LC, Kanter, JW, Manos, RC, Weeks, CE. Depression stigma in a predominantly low income African American sample with elevated depressive symptoms. J Nerv Ment Dis 2008; 196: 919–22.Google Scholar
77 Smith, LD, McGovern, RJ, Peck, PL. Factors contributing to the utilization of mental health services in a rural setting. Psychol Rep 2004; 95: 435–42.Google Scholar
78 Ten Have, M, de Graaf, R, Ormel, J, Vilagut, G, Kovess, V, Alonso, J, et al. Are attitudes towards mental health help-seeking associated with service use? Results from the European Study of Epidemiology of Mental Disorders. Soc Psychiatry Psychiatr Epidemiol 2010; 45: 153–63.Google Scholar
79 Thoits, PA. Differential labeling of mental illness by social status: a new look at an old problem. J Health Soc Behav 2005; 46: 102–19.Google Scholar
80 Vogt, D, Fox, AB, Di Leone, BA. Mental health beliefs and their relationship with treatment seeking among US OEF/OIF veterans. J Trauma Stress 2014; 27: 307–13.CrossRefGoogle ScholarPubMed
81 Spiegelhalter, DJ, Abrams, KR, Myles, JP. Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley, 2004.Google Scholar
82 Sarikaya, H, da Costa, BR, Baumgartner, RW, Duclos, K, Touze, E, de Bray, JM, et al. Antiplatelets versus anticoagulants for the treatment of cervical artery dissection: Bayesian meta-analysis. PloS ONE 2013; 8: e72697.CrossRefGoogle ScholarPubMed
83 Wrigley, S, Jackson, H, Judd, F, Komiti, A. The role of stigma and attitudes towards help-seeking from a GP for mental health problems in a rural town. Aust NZ J Psychiatry 2009; 39: 14–21.Google Scholar
84 Ajzen, I, Fishbein, M. Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychol Bull 1977; 84: 888–918.Google Scholar
85 Allport, GW. The Nature of Prejudice. Addison-Wesley, 1954.Google Scholar
86 Brewer, MB. The psychology of prejudice: ingroup love or outgroup hate? J Soc Issues 1999; 55: 429–44.Google Scholar
87 Voci, A. The link between identification and in-group favoritism: effect of threat to social identity and trust-related emotions. Br J Soc Psychol 2006; 45: 265–84.Google Scholar
88 Rusch, N, Muller, M, Ajdadic-Gross, V, Rodgers, S, Corrigan, PW, Rossler, W. Shame, perceived knowledge and satisfaction associated with mental health as predictors of attitude patterns towards help-seeking. Epidemiol Psychiatr Sci 2014; 23: 177–87.Google Scholar
89 Omori, Y, Mori, C, White, AH. Self-stigma in schizophrenia: a concept analysis. Nurs Forum 2014; 49: 259–66.Google Scholar
90 Corrigan, PW. Mental health stigma as social attribution: implications for research methods and attitude change. Clin Psychol Sci Prac 2000; 7: 48–67.Google Scholar
91 Link, BG, Phelan, JC. Conceptualizing stigma. Annu Rev Sociol 2001; 27: 363–85.Google Scholar
92 Corrigan, PW, Bink, AB, Schmidt, A, Jones, N, Rusch, N. What is the impact of self-stigma? Loss of self-respect and the ‘why try’ effect. J Ment Health 2015; 25: 10–5.Google Scholar
93 Cooper, AE, Corrigan, PW, Watson, AC. Mental illness stigma and care seeking. J Nerv Ment Dis 2003; 191: 339–41.Google Scholar
94 Coppens, E, Van Audenhove, C, Scheerder, G, Arensman, E, Coffey, C, Costa, S, et al. Public attitudes toward depression and help-seeking in four European countries: baseline survey prior to the OSPI-Europe intervention. J Affect Disord 2013; 150: 320–29.Google Scholar
95 Vogel, DL, Wade, NG, Haake, S. Measuring the self-stigma associated with seeking psychological help. J Couns Psychol 2006; 53: 325–37.Google Scholar
96 Preville, M, Mechakra, TS, Vasiliadis, HM, Quesnel, L, Gontijo-Guerra, S, Lamoureux-Lamarche, C, et al. Association between perceived social stigma against mental disorders and use of health services for psychological distress symptoms in the older adult population: validity of the STIG scale. Aging Ment Health 2015; 19: 464–74.CrossRefGoogle ScholarPubMed
97 Kanehara, A, Umeda, M, Kawakami, N. Barriers to mental health care in Japan: results from the World Mental Health Japan Survey. Psychiatry Clin Neurosci 2015; 69: 523–33.Google Scholar
98 Andrade, LH, Alonso, J, Mneimneh, Z, Wells, JE, Al-Hamzawi, A, Borges, G, et al. Barriers to mental health treatment: results from the WHO World Mental Health surveys. Psychol Med 2014; 44: 1303–17.Google Scholar
99 Oexle, N, Rusch, N, Viering, S, Wyss, C, Seifritz, E, Xu, Z, et al. Self-stigma and suicidality: a longitudinal study. Eur Arch Psychiatry Clin Neurosci 2016; epub ahead of print.CrossRefGoogle Scholar
100 Mehta, N, Clement, S, Marcus, E, Stona, AC, Bezborodovs, N, Evans-Lacko, S, et al. Evidence for effective interventions to reduce mental health-related stigma and discrimination in the medium and long term: systematic review. Br J Psychiatry 2015; 207: 377–84.Google Scholar
101 Thornicroft, C, Wyllie, A, Thornicroft, G, Mehta, N. Impact of the ‘Like Minds, Like Mine’ anti-stigma and discrimination campaign in New Zealand on anticipated and experienced discrimination. Aust NZ J Psychiatry 2014; 48: 360–70.CrossRefGoogle ScholarPubMed
102 Angermeyer, MC, Matschinger, H, Schomerus, G. Attitudes towards psychiatric treatment and people with mental illness: changes over two decades. Br J Psychiatry 2013; 203: 146–51.CrossRefGoogle ScholarPubMed
103 Evans-Lacko, S, Henderson, C, Thornicroft, G, McCrone, P. Economic evaluation of the anti-stigma social marketing campaign in England 2009–2011. Br J Psychiatry 2013; 202 (suppl 55): s95–101.Google Scholar
104 Yap, MBH, Reavley, N, Mackinnon, AJ, Jorm, AF. Psychiatric labels and other influences on young people's stigmatizing attitudes: findings from an Australian national survey. J Affect Disord 2013; 148: 299–309.Google Scholar
105 Seeman, N, Tang, S, Brown, AD, Ing, A. World survey of mental illness stigma. J Affect Disord 2016; 190: 115–21.Google Scholar
106 O'Connor, PJ, Martin, B, Weeks, CS, Ong, L. Factors that influence young people's mental health help-seeking behaviour: a study based on the Health Belief Model. J Adv Nurs 2014; 70: 2577–87.Google Scholar
107 Schomerus, G, Schwahn, C, Holzinger, A, Corrigan, PW, Grabe, HJ, Carta, MG, et al. Evolution of public attitudes about mental illness: a systematic review and meta-analysis. Acta Psychiatr Scand 2012; 125: 440–52.Google Scholar
108 Niederkrotenthaler, T, Reidenberg, DJ, Till, B, Gould, MS. Increasing help-seeking and referrals for individuals at risk for suicide by decreasing stigma: the role of mass media. Am J Prev Med 2014; 47: 235–43.Google Scholar
109 Corrigan, PW. Resolving mental illness stigma: should we seek normalcy or solidarity? Br J Psychiatry 2016; 208: 314–5.Google Scholar
110 Asch, DA, Jedrziewski, MK, Christakis, NA. Response rates to mail surveys published in medical journals. J Clin Epidemiol 1997; 50: 1129–36.Google Scholar
111 Baruch, Y, Holtom, BC. Survey response rate levels and trends in organizational research. Hum Relat 2008; 61: 1139–60.CrossRefGoogle Scholar
112 Krumpal, I. Determinants of social desirability bias in sensitive surveys: a literature review. Qual Quant 2013; 47: 2025–47.Google Scholar
113 Collins, PY, Patel, V, Joestl, SS, March, D, Insel, TR, Daar, AS. Grand challenges in global mental health. Nature 2011; 475: 27–30.Google Scholar
Figure 0

Fig. 1 PRISMA flowchart of selection of eligible studies, with reasons for full-text exclusion.

Figure 1

Fig. 2 Forest plot of the results of meta-analyses of five stigma types on active help-seeking.Odds ratios (OR) and 95% confidence intervals (CI) of individuals studies and pooled estimates of separate random effects meta-analyses. OR<1 indicates negative associations between stigma or attitudes and help-seeking, i.e. higher levels of stigma are associated iwth less help-seeking. Estimates of between-study variance: τ2 = 0.018 for HelpA, τ2 = 0.044 for PersonS and τ2 = 0.023 for GenS. The study by ten Have et al (2010) estimated relative risk ratio; OR estimate was not reported and not available from study authors.

Figure 2

Fig. 3 Forest plot of the results of stratified meta-analyses of five stigma types on active help-seeking.Pooled estimates (odds ratio; OR) and 95% confidence interval (CI) of each strata are reported. Dashed lines represent 95% CI of non-stratified analyses (top row). GenS, general stigma; HelpA, help-seeking attitude; PersonS, personal stigma; PublicS, perceived public stigma; SelfS, self-stigma. OR<1 indicates negative associations between stigma or attitudes and help-seeking, i.e. higher levels of stigma are associated with less help-seeking.

Supplementary material: PDF

Schnyder et al. supplementary material

Supplementary Material

Download Schnyder et al. supplementary material(PDF)
PDF 545.3 KB
Submit a response

eLetters

No eLetters have been published for this article.