Literature DB >> 28935661

Relationships between anti-stigma programme awareness, disclosure comfort and intended help-seeking regarding a mental health problem.

Claire Henderson1, Emily Robinson2, Sara Evans-Lacko2, Graham Thornicroft2.   

Abstract

BackgroundAnti-stigma programmes should aim to increase disclosure to those who can support someone with a mental health problem and appropriate professional help-seeking.AimsWe investigated associations among public awareness of England's Time to Change anti-stigma campaign and: (a) comfort envisaged in disclosing a mental health problem to family and friends; (b) comfort in disclosing to an employer; and (c) intended professional help-seeking from a general practitioner, i.e. a physician working in primary care.MethodUsing data from a survey of a nationally representative sample of adults, we created separate logistic regression models to test for campaign awareness and other variables as predictors of comfort in disclosure and intended help-seeking.ResultsWe found positive relationships between campaign awareness and comfort in disclosing to family and friends (odds ratio (OR) = 1.27, 95% CI 1.14-1.43) and to a current or prospective employer (OR=1.20, 95% CI 1.06-1.35); and likelihood of help-seeking (OR=1.18 95% CI 1.03-1.36).ConclusionsAwareness of an anti-stigma campaign was associated with greater comfort in disclosing a mental health problem and intended help-seeking. © The Royal College of Psychiatrists 2017.

Entities:  

Mesh:

Year:  2017        PMID: 28935661      PMCID: PMC5663972          DOI: 10.1192/bjp.bp.116.195867

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


Mental health-related stigma deters many people from seeking help for mental health problems and from disclosing to others.[1,2] However, there is little evidence to date that programmes to reduce stigma can have an impact on these behaviours.[3] The most suggestive evidence so far comes from the evaluation of ‘The Nuremberg Alliance Against Depression’, a two-year community-based educational intervention involving three key messages: (a) depression can be treated; (b) depression has many faces; and (c) depression can affect everybody.[4-6] There was a significant reduction in the number of suicidal acts during the campaign compared with a control-comparison region.[4] However the mechanism for this effect is unknown, and could be related to better identification of depression by primary care physicians rather than increased help-seeking. The ‘beyondblue’ campaign in Australia also focuses on depression. Its differential uptake among states and territories initially allowed comparison of public attitudes between high and low exposure areas.[7] This showed higher levels of agreement that antidepressants and professional interventions can be helpful in high exposure areas, again suggesting an impact of the campaign. In England, the Time to Change (TTC) programme, launched in January 2009, aimed to improve public attitudes and to reduce discriminatory behaviour towards people with mental illness.[8] TTC has been funded in three phases: 2007–2011; 2011–2015, with an additional year to 2016; and 2016–2021. The national social marketing campaign component of TTC uses bursts of mass-media advertising and public relations exercises. Its key messages are: (a) mental illnesses are common and people with such disorders can lead meaningful lives; (b) mental illness is our last taboo, such that the accompanying discrimination and exclusion can affect people in ways that many describe as worse than the illness itself, and (c) we can all do something to help people with mental illness. This call to action encourages people to support those they know with mental illness, for example by maintaining contact, and has been the main focus of the campaign since 2011. The campaign media targeted men and women aged 25–45 years, from middle socioeconomic groups. This age group was chosen because attitudes have been shown to be more entrenched in older individuals and younger adults may have less empathy.[9] The campaign was aimed primarily at those with proximity to people with mental health problems, not as close family members, but as friends, colleagues and wider family. This includes a significant proportion of the public, who may influence other groups, and may have attitudes most amenable to a social marketing campaign. During phases 1 and 2 there were two main bursts of social marketing activity per year using multiple media, supported by public relations and media work to maximise unfunded coverage. Campaign reach was extended by working with stakeholders (for example National Health Service (NHS) organisations) and making campaign materials freely available. Social media used included Facebook, Twitter, Spotify and You Tube. Advertising directed the target audience to the TTC website, which includes stories of people with mental health problems, tips on fighting stigma, blogs and forums. The campaign focused on behaviour change, using social media to prompt the target group to action, from small actions such as starting a conversation about mental health with a friend or co-worker to helping organise a local event aimed at engaging the community or organisations in fighting stigma and discrimination. In phase 1 (2007–2011) projects for people with mental health problems comprised 28 local schemes promoting mental and physical well-being[10] and 32 antidiscrimination initiatives. For targeted groups (medical students and trainee teachers), Education not Discrimination used contact-based education.[11] Time to Challenge aimed to augment employers' knowledge of discrimination related to mental health with respect to employment and help people take legal action against organisations that have discriminated. From 2009, contact events were developed in partnership with local organisations to provide face-to-face opportunities to talk about mental health problems and to act on the messages delivered via the campaign.[12] In phase 2 a separate programme was also delivered through schools and other settings aimed at children and young people. People with mental health problems became more involved in the delivery of contact events and in work with stakeholders such as employers. Although the main target outcomes of TTC were to change attitudes and reduce discrimination, anti-stigma programmes should also aim to increase disclosure to those who can support someone with a mental health problem in their personal and work lives including supporting them to seek professional help.[13,14] Moreover, in many countries disclosure to an employer is a legal prerequisite for accessing workplace adjustments to allow someone with a disability, in this case because of mental illness, to perform their job.[15] Anti-stigma campaigns should also aim to help reduce the treatment gap by promoting professional help-seeking. For adults in the UK, free professional help for mental health problems requires a discussion with a general practitioner (GP). Mental healthcare is then accessed either within primary healthcare or through a referral from the GP to specialist mental health services. Willingness to seek help from a GP is thus critical for treatment. Regarding evidence for whether reducing stigma increases intentions to disclose or seek professional help, we have previously reported that relevant mental health knowledge predicts intentions to seek help for a mental illness and to disclose such an illness to family and friends, which underlines the importance of mental health literacy.[16] Attitudes towards people with mental illness show a more mixed pattern with respect to help-seeking and disclosure intentions. A factor analysis of the shortened version of the Community Attitudes Toward the Mentally Ill (CAMI) scale,[17] used in the Department of Health Attitudes to Mental Illness Survey, found two factors: ‘tolerance and support for community care’; and ‘prejudice and exclusion’.[16] We found that intentions to seek help for a mental health problem are associated with attitudes of tolerance and support for community care, but not with stigmatising attitudes of prejudice and exclusion.[16] These findings suggest that having strong positive attitudes might be more relevant to disclosure and help-seeking than whether negative attitudes are held. They further suggest that targeting these attitudes among the public may be an effective way to promote help-seeking, contrary to the conclusions drawn from a recent systematic review.[18] This review concluded that perceived public stigma is not relevant to help-seeking intentions, however, many of the CAMI items in the ‘tolerance and support for community care’ factor address this aspect of stigma. Analysis of the Attitudes to Mental Illness Survey data collected at the end of the first phase of TTC (2008–2011) found a relationship between campaign awareness and attitudes to mental illness as measured using the CAMI, but not with stigma-related mental health knowledge or desire for social distance.[9,19] We also did not find any relationship between campaign awareness and either comfort in disclosing to family and friends or intended help-seeking [20] At this point, the only clearly positive change over the course of TTC at the general population level was a reduced desire for social distance.[9] However, within the social marketing campaign target group,[21] i.e. those in middle-income groups aged 25–45, we found positive relationships between campaign awareness and each of: knowledge; attitudes; and desire for social distance. Further, at the end of the second phase of TTC (2011–2016), we found improved stigma-related knowledge; improved attitudes; and reduced desire for social distance in the general population using the Attitudes to Mental Illness Survey.[19] Therefore, the aims of this study were to examine whether, using data from the second phase of TTC, there is any association between awareness of TTC in the general public and each of: (a) comfort envisaged in disclosing a mental health problem to family and friends; (b) comfort envisaged in disclosing a mental health problem to an employer: and (c) intended professional help-seeking for a mental health problem.

Method

Data source

The Attitudes to Mental Illness survey is conducted by the agency Kantar TNS as part of an Omnibus Survey and has been carried out annually since 2008 as a part of the TTC evaluation. The area for its sampling frame is the same as the area covered by TTC, i.e. England. TTC received funding in October 2007, and the first events were run in October 2008, coinciding with World Mental Health Day. Nationally representative separate samples of approximately 1700 adults residing in England were surveyed each year from 2008 to 2016.[19] From 2012 the survey has included questions to establish awareness of TTC,[3] therefore this paper reports results from data collected 2012–2016. The survey is carried out using a quota sample, with locations for interviewing selected using a random methodology. Information from the UK Census and postal code areas were used to define interviewing locations, which were stratified by regions of England as defined by the UK Government Office, and social status. Interviews were carried out in participants' homes by fully trained personnel using computer-assisted personal interviewing and demographic information was collected at the end of the interview. Additional information regarding the survey methods can be found in TNS BMRB [22] The research is exempted from research ethics approval by King's College London Psychiatry, Nursing and Midwifery Research Ethics Subcommittee as it comprises secondary analysis of an anonymised data-set.

Measures

Questions on disclosure and help-seeking

The survey includes one question: ‘If you felt that you had a mental health problem, how likely would you be to go to your GP (general practitioner) for help?’ with a five-point Likert scale of responses from ‘very unlikely’ to ‘very likely’. Comfort in disclosing to others about a mental health problem is assessed using two questions. One asks about the respondent's level of comfort talking to a friend or family member about mental health, for example telling them about one's mental health diagnosis and its effect; the other asks the same question applied to talking to a current or prospective employer. Responses range from ‘very uncomfortable’ to ‘very comfortable’ on a seven-point Likert scale.

Awareness of Time to Change

The final survey questions required the interviewer to first show the respondent a card with a composite of material from all of the previous bursts of TTC social marketing activity. The interviewer then asked whether the respondent had seen any of the material and, if so, how many times. Awareness of TTC was dichotomised into ‘any’ v. ‘none’ for the analysis.

Socioeconomic status

Socioeconomic status of the respondent was categorised into one of four categories (i.e. AB, C1, C2 and DE) according to the Market Research Society's classification system.[23] Classification was based on the occupation of the chief income earner in the household. Category AB represents individuals with professional/managerial occupations, C1 represents individuals with other non-manual occupations, C2 represents individuals having skilled manual occupations and DE represents individuals with semi-/unskilled manual occupations and people dependent on state benefits.

Familiarity with mental health problems

Previous research demonstrates that knowing someone with a mental health problem/familiarity with mental illness is strongly associated with mental health-related knowledge, attitudes and desire for social distance.[9,19,24-26] We measured familiarity using the following item: who is the person closest to you who has or has had some kind of mental illness? Potential response options included: immediate family (e.g. spouse/child/sister/brother/parent), partner (living with you), partner (not living with you), other family (e.g. uncle/aunt/cousin/grandparent), friend, acquaintance, work colleague, self, other (please specify) and no one known. Responses were then categorised into three groups: self, other and none.

Analysis

To characterise our sample, basic sociodemographic data are described using relevant summary statistics, and potential underrepresentation of sociodemographic groups has been corrected though sample weighting of gender, age and ethnicity; this is consistent with previous TTC analyses.[9,19] To investigate the association between awareness of TTC with the three questions on disclosure and help-seeking, three separate logistic regression models were performed using the corresponding questions as the outcome variables. The questions were dichotomised into binary responses: for the disclosure comfort questions, ‘very comfortable’, ‘moderately comfortable’ or ‘fairly comfortable’ were grouped together to reflect a positive response of ‘somewhat comfortable with disclosing to friends and family or an employer’; and for the help-seeking question, the responses ‘very likely’ or ‘quite likely’ were grouped together to reflect a positive response of ‘some likelihood of seeking help from a GP’. These positive outcomes were compared with all other (neutral or negative) responses. To maintain consistency, all of the models included the covariates used in previous TTC regression modelling:[9,19] year (categorical: 2012–2016); gender (female v. male); age (categorical: 16–24, 25–44, 45–64 and 65+); ethnicity (categorical: Asian, Black, other and White); socioeconomic status (categorical: AB, C1, C2 and DE); and familiarity with mental health problems (categorical: self, other and none). Awareness of TTC was then included as an additional covariate in the form of a binary variable, campaign awareness, as explained above (any v. none). These demographic variables are associated with help-seeking for mental health problems in primary care[27] and we previously found all the variables to be associated with stigma outcomes i.e. mental health-related knowledge, attitudes and desire for social distance. For the question on comfort disclosing to a current or prospective employer, the oldest age group was removed as this is not relevant to the majority of people aged 65 or over. For many of those replying ‘self’ to the familiarity with mental health problems question, decisions to seek help from a GP or to disclose are likely to have been taken already. However, the questions are still applicable regarding future help-seeking, for example for a recurrence of a mental health problem, and future disclosure, for example to a different employer or to family or friends to whom the person has yet to disclose. We therefore left this group in for all three models. All analyses were carried out using Stata version 14.

Results

The sample included 48.8% men and 51.2% women and the mean age was approximately 46 years, ranging from 16 to 98 years of age (s.d. = 18.9). The whole sample had slightly higher representation of individuals in lower socioeconomic classes compared with individuals from middle and upper socioeconomic classes to allow analysis by socioeconomic group; this has been corrected through sample weighting. Table 1 shows unweighted frequencies and weighted percentages of the characteristics of survey participants by year and Table 2 shows their responses regarding awareness of TTC, intended help-seeking from primary care and comfort in disclosing.
Table 1

Participant characteristics by survey year, unweighted frequency and weighted percentages

2012(n = 1717)2013(n = 1727)2014(n = 1714)2015(n = 1736)2016(n = 1765)
Gender
    Female924 (51.3)926 (51.0)893 (50.9)919 (51.6)918 (51.4)
    Male793 (48.7)801 (49.0)821 (49.1)817 (48.4)847 (48.6)

Age, years: mean (s.d.)46.4 (19.1)45.9 (18.3)46.0 (18.8)46.4 (19.2)46.3 (19.0)

Age group
    16–24258 (14.6)289 (14.6)221 (14.4)242 (14.1)211 (13.6)
    25–44580 (34.8)568 (36.1)514 (36.2)528 (35.3)597 (35.5)
    45–64506 (31.3)486 (31.1)506 (30.6)488 (31.5)488 (31.7)
    65+373 (19.3)384 (18.3)473 (18.7)478 (19.0)469 (19.3)

Ethnicity
    Asian160 (9.7)127 (7.9)105 (6.6)120 (6.7)121 (7.0)
    Black67 (3.8)66 (3.7)69 (4.0)99 (5.3)83 (4.7)
    Other31 (1.8)44 (2.6)26 (1.6)39 (2.3)42 (2.6)
    White1449 (84.7)1474 (85.9)1507 (87.8)1472 (85.7)1507 (85.7)

Socioeconomic status[a]
    AB292 (19.3)302 (20.5)353 (21.4)335 (22.2)271 (18.9)
    C1456 (31.0)445 (30.4)457 (29.2)432 (28.4)430 (30.6)
    C2368 (21.6)362 (20.8)333 (20.5)354 (20.4)371 (20.7)
    DE601 (28.1)618 (29.1)571 (29.0)615 (29.1)693 (29.8)

Familiar with mental health problems
    Self111 (6.4)120 (6.6)126 (7.4)124 (6.9)124 (7.4)
    Other926 (55.9)963 (57.9)953 (57.5)963 (58.1)1013 (61.1)
    None645 (37.7)610 (35.5)606 (35.1)632 (35.0)586 (31.5)

Category AB, professional/managerial occupations; C1, other non-manual occupations; C2, skilled manual occupations; and DE, semi-/unskilled manual occupations and people dependent on state benefits.

Table 2

Responses to Time to Change campaign awareness, and mental illness help-seeking and disclosure by year, unweighted frequency and weighted percentages

2012(n = 1717)2013(n = 1727)2014(n = 1714)2015(n = 1736)2016(n = 1765)
Campaign awareness
    Aware497 (29.1)745 (43.3)320 (20.2)479 (29.1)388 (23.6)
    Not aware1220 (70.9)982 (56.6)1394 (79.8)1257 (70.9)1377 (76.4)

Seek help from general practitioner
    Likely1431 (82.7)1426 (81.9)1446 (83.7)1425 (81.7)1367 (77.7)
    Neutral or not likely286 (17.3)301 (18.1)268 (16.3)311 (18.3)398 (22.3)

Disclose to friends/family
    Comfortable1214 (69.9)1114 (64.4)1205 (70.3)1191 (68.9)1178 (67.7)
    Neutral or not comfortable503 (30.1)613 (35.6)509 (29.7)545 (31.1)587 (32.3)

Disclose to employer (<65 years)
    Comfortable495 (36.6)452 (33.6)447 (36.3)492 (38.6)456 (35.5)
    Neutral or not comfortable849 (63.4)891 (66.4)794 (63.7)766 (61.4)840 (64.5)
Participant characteristics by survey year, unweighted frequency and weighted percentages Category AB, professional/managerial occupations; C1, other non-manual occupations; C2, skilled manual occupations; and DE, semi-/unskilled manual occupations and people dependent on state benefits. Responses to Time to Change campaign awareness, and mental illness help-seeking and disclosure by year, unweighted frequency and weighted percentages Table 3 shows responses regarding intended help-seeking and disclosure comfort by campaign awareness. Comfort in disclosure to an employer was lowest, at 38.8% for those who were campaign aware and 35.0% for those who were not. Comfort in disclosure to family and friends was higher at 72.6% for those who were campaign aware and 66.5% for those who were not. The intention to seek help from a GP was highest at 83.6% for those who were campaign aware and 80.6% for those who were not.
Table 3

Responses to help-seeking and disclosure of mental illness by awareness of Time to Change campaign, unweighted frequency and weighted percentages

Campaignaware(n = 2429)Not campaignaware(n = 6230)
Seek help from general practitioner
    Likely2046 (83.6)5049 (80.6)
    Not likely383 (16.4)1181 (19.4)

Disclose to friends/family
    Comfortable1763 (72.6)4139 (66.5)
    Not comfortable666 (27.4)2091 (33.5)

Disclose to employer (<65 years)
    Comfortable767 (38.8)1575 (35.0)
    Not comfortable1220 (61.2)2920 (65.0)
Responses to help-seeking and disclosure of mental illness by awareness of Time to Change campaign, unweighted frequency and weighted percentages Table 4 shows results of logistic regression analyses, examining the relationship between campaign awareness and each of: intended help-seeking, comfort disclosing to family and friends, and comfort disclosing to an employer, controlling for sociodemographic characteristics and familiarity with mental health problems. We found positive relationships between campaign awareness and all of: likelihood of help-seeking (odds ratio (OR) = 1.18, 95% CI 1.03–1.36); feeling comfortable disclosing a mental health problem to family and friends (OR = 1.27, 95% CI 1.14–1.43) and feeling comfortable disclosing a mental health problem to a current or prospective employer (OR = 1.20, 95% CI 1.06–1.35).
Table 4

Logistic regression analyses of predictors of disclosure and help-seeking in mental illness

Disclosing to friends or family(n = 8455)
Disclosing to a current or prospectiveemployer for those <65 years (n = 6325)
Intended help-seeking from a generalpractitioner (n = 8455)
PredictorsAdjusted OR (95% CI)PAdjusted OR (95% CI)PAdjusted OR (95% CI)P
Campaign awareness
    Aware1.27 (1.14–1.43)*<0.0011.20 (1.06–1.35)*0.0031.18 (1.03–1.36)*0.020
    Not aware (ref)

Year
    20160.92 (0.79–1.08)0.3240.98 (0.83–1.16)0.8060.76 (0.63–0.92)*0.004
    20150.94 (0.81–1.11)0.4741.10 (0.93–1.30)0.2780.93 (0.77–1.13)0.485
    20141.06 (0.90–1.24)0.5021.01 (0.85–1.20)0.8741.13 (0.92–1.38)0.235
    20130.76 (0.65–0.89)*0.0010.87 (0.74–1.03)0.1090.95 (0.78–1.15)0.579
    2012 (ref)

Gender
    Female1.28 (1.16–1.42)*<0.0010.88 (0.79–0.98)*0.0191.33 (1.18–1.50)*<0.001
    Male (ref)

Age
    16–241.05 (0.89–1.24)0.5291.02 (0.87–1.19)0.8530.48 (0.40–0.59)*<0.001
    25–441.03 (0.90–1.17)0.6681.06 (0.94–1.20)0.3200.60 (0.51–0.71)*<0.001
    45–64 (ref)[a]1.21 (1.05–1.38)*0.0060.88 (0.73–1.04)0.135
    65+ (ref)NANA

Ethnicity
    Asian0.96 (0.79–1.16)0.6601.17 (0.97–1.42)0.1031.19 (0.94–1.51)0.143
    Black0.93 (0.73–1.18)0.5581.12 (0.87–1.43)0.3800.93 (0.70–1.25)0.646
    Other0.87 (0.63–1.21)0.4201.01 (0.72–1.43)0.9360.88 (0.61–1.29)0.524
    White (ref)

Socioeconomic status[b]
    AB0.96 (0.83–1.11)0.5740.78 (0.66–0.92)*0.0041.01 (0.85–1.22)0.880
    C11.11 (0.98–1.26)0.0960.98 (0.86–1.13)0.8090.94 (0.80–1.09)0.411
    C21.03 (0.90–1.17)0.7161.10 (0.95–1.27)0.2201.05 (0.88–1.24)0.607
    DE (ref)

Familiarity with mentalhealth problems
    Self1.32 (1.06–1.63)*0.0111.07 (0.86–1.34)0.5241.82 (1.36–2.43)*<0.001
    Other1.24 (1.11–1.39)*<0.0011.02 (0.90–1.16)0.7221.00 (0.88–1.15)*0.958
    None (ref)

Ref, reference category; NA, not applicable.

Age group 45–64 was used as the reference category for disclosing to a current or prospective employer for those <65 years.

Category AB, professional/managerial occupations; C1, other non-manual occupations; C2, skilled manual occupations; and DE, semi-/unskilled manual occupations and people dependent on state benefits.

Significant at the P <0.05 level.

Logistic regression analyses of predictors of disclosure and help-seeking in mental illness Ref, reference category; NA, not applicable. Age group 45–64 was used as the reference category for disclosing to a current or prospective employer for those <65 years. Category AB, professional/managerial occupations; C1, other non-manual occupations; C2, skilled manual occupations; and DE, semi-/unskilled manual occupations and people dependent on state benefits. Significant at the P <0.05 level. Campaign awareness was the only independent variable significantly associated with the dependent variable for all three adjusted models. Survey year 2016 was significantly associated with lower intentions to seek help from a GP as compared with the reference year 2012 (OR = 0.76, 95% CI 0.63–0.92); 2013 was significantly associated with less comfort in disclosing to friends or family (OR = 0.76, 95% CI 0.65–0.89); and no survey year was associated with predicted comfort in disclosing to an employer. Female gender was associated with reduced comfort regarding disclosure to an employer (OR = 0.88, 95% CI 0.79–0.98) but significantly positively associated with intentions to seek help from a GP (OR=1.33, 95% CI 1.18–1.50) and to disclose to friends or family (OR = 1.28, 95% CI 1.16–1.42). Being aged 16–44 was significantly associated with lower intentions to seek help from a GP compared with being aged 65 or over (OR for 16–24 = 0.48, 95% CI 0.40–0.59; OR for 25–44 = 0.60, 95% CI 0.51–0.71); being 45–64 was significantly associated with feeling comfortable disclosing to family or friends compared with older and younger age groups (OR = 1.21, 95% CI 1.05–1.38). Socioeconomic status, as defined by occupational status, was not significantly associated with intended help-seeking from a GP or disclosing to friends/family, however respondents in the highest socioeconomic group (AB) were significantly less likely to state they would feel comfortable disclosing to an employer (OR = 0.78, 95% CI 0.66–0.92). Having experienced a mental health problem significantly predicted both likelihood of help-seeking (OR = 1.82, 95% CI 1.36–2.43) and of comfort disclosing to family or friends (OR = 1.32, 95% CI 1.06–1.63), but not comfort in disclosing to an employer; knowing someone else with a mental health problem was only a significant predictor of comfort in disclosing to family or friends (OR = 1.24, 95% 1.11–1.39). There was no relationship between ethnicity and responses to any of the questions. There were no significant interactions between year and campaign awareness, and therefore no evidence that the impact of campaign awareness on the behavioural intentions measured has changed over time.

Discussion

For those surveyed during the second phase of TTC (2012–2016) we found relationships between awareness of the campaign and each of: likelihood of seeking help for a mental health problem from a GP; feeling comfortable disclosing a mental health problem to family and friends and feeling comfortable disclosing a mental health problem to a current or prospective employer. This was the only consistent predictor across all three questions; in the case of both sociodemographic variables and familiarity with mental health problems, predictors varied depending on the question. With respect to help-seeking in primary care, the associated sociodemographic variables are consistent with other studies on use of primary care for mental disorders,[27] with the exception of a recent finding in a Canadian sample in which younger patients, both male and female were more willing to seek primary care in response to mental health problems compared with older patients.[28] For those in professional or managerial occupations or in households in which the main earner has such an occupation, reduced comfort in disclosure to an employer might reflect a greater perceived risk v. potential benefits. This might include being unable to continue in an occupation that requires lengthy training[24] or greater anticipation of workplace discrimination [29] The results are consistent with a survey across the UK and six other European countries that found that university-educated employees were less likely to disclose to an employer or take time off work because of depression.[30] Anticipated discrimination in the workplace may also contribute to women's greater discomfort with workplace disclosure of a mental health problem, given their awareness of gender discrimination as an additional risk. For people familiar with someone with a mental health problem, greater comfort in disclosure to family or friends suggests an expectation of reciprocity within supportive relationships, but this does not transfer to an effect on likelihood of professional help-seeking; the latter is only increased in those with personal experience, which for many will include that of prior help-seeking. The results regarding year of the survey are more difficult to interpret. Given that we included campaign awareness in the model, these results may reflect other events or secular trends. For example, being less likely to seek help from a GP in the final survey year may reflect the increase in general difficulty accessing primary care in many parts of England[31] during a period of continuing economic austerity related to funding of the NHS.

Strengths and limitations of the study

This study used a large nationally representative data-set that included baseline measures specifically targeted and developed for the evaluation of the TTC programme. Despite these strengths, there are some limitations associated with this study. We did not collect information about awareness of the TTC campaign in years 2009–2011 of this survey and thus we only know the extent to which campaign awareness is associated with the outcomes examined here, as well as with each of knowledge, attitudes and behaviour, in the later years. Questions about awareness were added to the end of the survey to avoid biasing responses to the outcome measures. As data are collected face to face, we cannot be sure to what extent social desirability affected responses; further, awareness of TTC may increase the effect on the measures of social desirability.[32] Finally, the evaluation does not distinguish responses regarding common mental disorders, with which respondents are more likely to be familiar, from responses regarding less prevalent illnesses.

Implications

These findings provide support for the effectiveness of the TTC national anti-stigma programme in increasing intended help-seeking within primary healthcare and in increasing people's comfort regarding disclosure to family, friends and employers. Further work is required to understand the effective ingredients of TTC, including the extent to which behavioural intentions are mediated by mental health-related knowledge and/or attitudes, and the relative importance of specific components of attitudes such as personal attitudes v. perceived public stigma,[18] both of which TTC has addressed. It will also be critical to determine whether its impact is sustained beyond its duration. The proportions of the population aware of the campaign over the survey period ranged from 20 to 44%, thus the majority of the population are not directly affected by it. Campaign awareness was affected by whether or not television was used, for example in 2013, as its high cost precluded its use for every burst. Changes in the delivery of the campaign may be needed to extend its reach, or other methods will be needed to achieve whole population change. The results highlight the greater barriers for particular socio-demographic groups with respect to professional help-seeking, suggesting the need for more tailored interventions to encourage help-seeking within primary care. They also demonstrate the need for workplace interventions to encourage disclosure to employers when this is needed to access support or reasonable adjustments. In addition to clear messages from employers that discrimination against people with mental health problems will not be tolerated, and action to follow through on this commitment, employees may benefit from decision aids[33] regarding disclosure and help-seeking tailored to their profession or occupational group. In addition to providing support, family, friends, health professionals and employers are sources of discrimination, as has been found in both general population[34,35] and clinical[25,36] samples. Discomfort with the idea of disclosing is therefore understandable for many people, as disclosure tends to be accompanied by a mix of both positive and negative experiences.[34,35] It therefore seems likely that an increased likelihood of help-seeking and comfort in disclosing will only follow reductions in the frequencies of discrimination. Such reductions have been observed over the course of TTC as reported by mental health service users, on the part of family, friends and employers, but not for health professionals outside the setting of mental healthcare.[36] Discrimination by health professionals typically manifests as the experience of being treated dismissively, being judged and not being listened to.[34] Contact-based education for health professionals in Canada has been shown to be effective in improving their attitudes to mental illness at least in the short term,[26] as has education about problems they find especially difficult, such as self-harm and substance use.[37] Research is now needed to determine whether discrimination by health professionals can be reduced and what impact this has on help-seeking.
  32 in total

Review 1.  Stigma and discrimination in mental illness: Time to Change.

Authors:  Claire Henderson; Graham Thornicroft
Journal:  Lancet       Date:  2009-06-06       Impact factor: 79.321

2.  Key ingredients of anti-stigma programs for health care providers: a data synthesis of evaluative studies.

Authors:  Stephanie Knaak; Geeta Modgill; Scott B Patten
Journal:  Can J Psychiatry       Date:  2014-10       Impact factor: 4.356

3.  Understanding doctors' attitudes towards self-disclosure of mental ill health.

Authors:  D Cohen; S J Winstanley; G Greene
Journal:  Occup Med (Lond)       Date:  2016-03-29       Impact factor: 1.611

4.  The role of relatives in pathways to care of patients with a first episode of psychosis.

Authors:  Valeria Del Vecchio; Mario Luciano; Gaia Sampogna; Corrado De Rosa; Domenico Giacco; Ilaria Tarricone; Francesco Catapano; Andrea Fiorillo
Journal:  Int J Soc Psychiatry       Date:  2015-01-21

5.  Influence of Time to Change's social marketing interventions on stigma in England 2009-2011.

Authors:  Sara Evans-Lacko; Estelle Malcolm; Keon West; Diana Rose; Jillian London; Nicolas Rüsch; Kirsty Little; Claire Henderson; Graham Thornicroft
Journal:  Br J Psychiatry Suppl       Date:  2013-04

6.  Mass social contact interventions and their effect on mental health related stigma and intended discrimination.

Authors:  Sara Evans-Lacko; Jillian London; Sarah Japhet; Nicolas Rüsch; Clare Flach; Elizabeth Corker; Claire Henderson; Graham Thornicroft
Journal:  BMC Public Health       Date:  2012-06-28       Impact factor: 3.295

Review 7.  Systematic review of beliefs, behaviours and influencing factors associated with disclosure of a mental health problem in the workplace.

Authors:  Elaine Brohan; Claire Henderson; Kay Wheat; Estelle Malcolm; Sarah Clement; Elizabeth A Barley; Mike Slade; Graham Thornicroft
Journal:  BMC Psychiatry       Date:  2012-02-16       Impact factor: 3.630

8.  Qualitative analysis of mental health service users' reported experiences of discrimination.

Authors:  S Hamilton; V Pinfold; J Cotney; L Couperthwaite; J Matthews; K Barret; S Warren; E Corker; D Rose; G Thornicroft; C Henderson
Journal:  Acta Psychiatr Scand       Date:  2016-08       Impact factor: 6.392

9.  Public knowledge, attitudes, social distance and reported contact regarding people with mental illness 2009-2015.

Authors:  C Henderson; E Robinson; S Evans-Lacko; E Corker; I Rebollo-Mesa; D Rose; G Thornicroft
Journal:  Acta Psychiatr Scand       Date:  2016-08       Impact factor: 6.392

10.  Viewpoint survey of mental health service users' experiences of discrimination in England 2008-2014.

Authors:  E Corker; S Hamilton; E Robinson; J Cotney; V Pinfold; D Rose; G Thornicroft; C Henderson
Journal:  Acta Psychiatr Scand       Date:  2016-08       Impact factor: 6.392

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  19 in total

1.  Social Marketing of Mental Health Treatment: California's Mental Illness Stigma Reduction Campaign.

Authors:  Rebecca L Collins; Eunice C Wong; Joshua Breslau; M Audrey Burnam; Matthew Cefalu; Elizabeth Roth
Journal:  Am J Public Health       Date:  2019-06       Impact factor: 9.308

2.  Suicide in Older Adults With and Without Known Mental Illness: Results From the National Violent Death Reporting System, 2003-2016.

Authors:  Timothy J Schmutte; Samuel T Wilkinson
Journal:  Am J Prev Med       Date:  2020-01-28       Impact factor: 5.043

3.  Mental Health Recovery Narratives and Their Impact on Recipients: Systematic Review and Narrative Synthesis.

Authors:  Stefan Rennick-Egglestone; Kate Morgan; Joy Llewellyn-Beardsley; Amy Ramsay; Rose McGranahan; Steve Gillard; Ada Hui; Fiona Ng; Justine Schneider; Susie Booth; Vanessa Pinfold; Larry Davidson; Donna Franklin; Simon Bradstreet; Simone Arbour; Mike Slade
Journal:  Can J Psychiatry       Date:  2019-05-02       Impact factor: 4.356

4.  Designing and scaling up integrated youth mental health care.

Authors:  Patrick D McGorry; Cristina Mei; Andrew Chanen; Craig Hodges; Mario Alvarez-Jimenez; Eóin Killackey
Journal:  World Psychiatry       Date:  2022-02       Impact factor: 49.548

5.  Public anti-stigma programmes might impove help-seeking.

Authors:  Sara Evans-Lacko; Brandon Kohrt; Claire Henderson; Graham Thornicroft
Journal:  Br J Psychiatry       Date:  2017-09       Impact factor: 9.319

6.  Assessment of Mental Health Stigma Components of Mental Health Knowledge, Attitudes and Behaviors Among Jordanian Healthcare Providers.

Authors:  Heyam F Dalky; Hana H Abu-Hassan; Alaa Fawwaz Dalky; Wael Al-Delaimy
Journal:  Community Ment Health J       Date:  2019-11-23

7.  Exploring parental perceptions of psychosocial screening in paediatric emergency departments.

Authors:  Punit Virk; Amanbir Atwal; Bruce Wright; Quynh Doan
Journal:  Clin Child Psychol Psychiatry       Date:  2022-03-10       Impact factor: 2.087

8.  Impact of receiving recorded mental health recovery narratives on quality of life in people experiencing psychosis, people experiencing other mental health problems and for informal carers: Narrative Experiences Online (NEON) study protocol for three randomised controlled trials.

Authors:  Stefan Rennick-Egglestone; Rachel Elliott; Melanie Smuk; Clare Robinson; Sylvia Bailey; Roger Smith; Jeroen Keppens; Hannah Hussain; Kristian Pollock; Pim Cuijpers; Joy Llewellyn-Beardsley; Fiona Ng; Caroline Yeo; James Roe; Ada Hui; Lian van der Krieke; Rianna Walcott; Mike Slade
Journal:  Trials       Date:  2020-07-20       Impact factor: 2.279

9.  Trends in the recording of anxiety in UK primary care: a multi-method approach.

Authors:  Charlotte Archer; Katrina Turner; David Kessler; Becky Mars; Nicola Wiles
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2021-07-01       Impact factor: 4.328

10.  Mental Health Related Stigma as a 'Wicked Problem': The Need to Address Stigma and Consider the Consequences.

Authors:  Claire Henderson; Petra C Gronholm
Journal:  Int J Environ Res Public Health       Date:  2018-06-02       Impact factor: 3.390

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