Preferences of Non-Metropolitan Youth Towards Accessing Mental Health Services: A Choice-Based Conjoint Analysis
Funding: This work was supported by the Australian Commonwealth Government Department of Health Rural Health Multidisciplinary Training (RHMT) Programme.
ABSTRACT
Objective
To investigate the preferences of non-metropolitan youth towards mental health service access.
Setting
Tasmania, Australia.
Participants
Youth aged 13 to 25 years (n = 214).
Methods
Choice-based conjoint analysis (CBC) which is a quantitative study design, was employed. In this CBC study, an online survey presented twelve choice sets reflecting seven different mental health service attributes (mental health concern, service provider, cost, wait time, service delivery method, travel time and transport mode), with youth asked to choose their preferred option for access. Choice-based conjoint analysis determined preferred mental health service attributes and the relative weighting of different levels within each attribute.
Results
Of the seven attributes, service provider, cost, wait time and service delivery method were of the highest importance to youth when considering mental health service access. Within the listed health service attributes, youth ranked: psychologists; no cost; no wait time; face-to-face delivery; travel time of 15 min; and travel by private car highest. Various socio-demographic variables were associated with attribute and level choices.
Conclusion
Tasmanian youth prefer to access mental health services when provided in person, by a psychologist, for free and with no waiting time. Further research is required to investigate whether mental healthcare preferences for non-metropolitan youth change depending on geographical location, mental health status, level of mental health literacy, a greater choice of service providers and service delivery methods.
Summary
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What is already known on this subject?
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Mental health service access in non-metropolitan Australia can be challenging, with youth potentially having to travel long distances to physically attend services.
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Telehealth is often offered as an alternative to mental healthcare where distance to physical services is a barrier. However, little is known about whether non-metropolitan youth would prefer to access services in-person or online if both options were available.
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What this paper adds?
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Non-metropolitan youth considered the type of service provider, cost, waiting time to be seen and service delivery method as the most important factors when choosing which mental health service to access.
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Non-metropolitan youth displayed a higher preference for mental health services provided face-to-face, by psychologists, for free, without waiting for appointments and within 15 min of travel.
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Building the physical infrastructure for mental health service delivery and growing the mental health workforce in non-metropolitan areas is needed to improve mental health support for non-metropolitan youth.
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1 Introduction
Youth mental illness is a global public health concern, with around one in five experiencing a mental illness such as behavioural disorders, anxiety and depression [1]. Mental illness accounts for almost half of the overall burden of disease in those aged 10–24 years [2], and is one of the leading causes of mortality in youth through suicide [3]. Over time, the number of youths experiencing mental illness has increased. The National Study of Mental Health and Wellbeing in Australia, conducted between 2020 and 2022 [4], found that 38.8% of youth aged 16 to 24 years experienced mental illness in the previous 12 months, a rise from 26% in 2007. There are many minority groups among youth vulnerable to mental illness, including those homeless, those of Aboriginal or Torres Strait Islander identity, those who identify as lesbian, gay, bisexual, transgender, queer or intersex, and those who abuse substances [5]. The complex interplay of personal, social and environmental factors associated with residing in non-metropolitan areas can also increase the risk of developing mental illness, as well as suicidality and completed suicide [6, 7].
Access to timely mental healthcare can support youth health and well-being, and promote longer-term social, educational and economic productivity into adulthood [8]. However, research suggests that up to half of youth in need of mental healthcare do not seek help [9, 10]. This can be attributed to previous negative experiences with mental health services [11], the social stigma associated with mental illness [5, 11, 12], a preference for self-reliance [5, 12] and lack of awareness of available services [5, 11]. These issues are compounded for non-metropolitan youth, where mental health services are often piecemeal, lack coordination and are poorly integrated [12]. In part, this is contributed to by a shortage of mental healthcare professionals such as psychologists [13], or a lack of youth mental health services in their local community [12, 14]. Physical attendance at a mental health service may therefore require a long travel time and incur a substantial cost for non-metropolitan youth, which many report as prohibitive [11, 12, 14]. Efforts to address these barriers have centred around the use of telehealth, which can help improve accessibility to services [15]. However, not all youth perceive telehealth as a suitable modality that meets their needs [12, 15].
To encourage more youth to access available mental healthcare services, we need to better understand what youth want and value in terms of service design and delivery [16]. One way of exploring what youth perceive as important regarding mental health service access is through a choice-based conjoint analysis (CBC) [17]. Although CBCs have previously been used across a broad range of health services research [18], few studies have used this technique to specifically explore mental health service preferences [19]. The aim of this study was therefore to conduct a CBC to elucidate the preferences of youth residing in Tasmania, Australia, toward mental health service access. The results from this study are expected to inform youth mental healthcare providers both locally and elsewhere on ways in which services may be configured to accommodate the preferences of non-metropolitan youth and help improve regional, rural and remote mental health service access.
2 Materials and Methods
2.1 Study Setting
Tasmania is an island state with a land mass of 68 401 km2 and a population of 557 571 people [20]. Tasmania's population is widely dispersed, with the state having a higher proportion of individuals living in areas considered rural, remote and very remote compared to every other state in Australia [21]. Based on the contemporary Modified Monash Model (MM) categorisation of rurality [22], no area of Tasmania is classified as a metropolitan city (MM1) and, therefore, its population is entirely non-metropolitan (MM2-7). Its largest population centres of Hobart and Launceston are classified as regional (MM2), and the remaining population centres range in size from large rural towns (MM3) to very remote communities (MM7) [22].
2.2 Study Design
This study utilised a Choice-Based Conjoint Analysis (CBC) to examine preferences for mental health service access amongst non-metropolitan youth. CBC originated in consumer behaviour theories and has been used extensively in economics. However, its application within health research continues to expand as its utility in supporting decision-making, for both patients and service providers, regarding health outcomes and service provision is recognised [18, 23]. Also known as a Discrete Choice Experiment (DCE), CBC is a quantitative tool for identifying preferences [17, 24] based on utility-maximising assumptions. It usually involves the presentation of a series of choice sets relating to a consumable good or service, which then vary according to attributes and their levels, offering insight into what factors are more important to the consumer [18, 25]. In this study, choice sets were embedded into an online survey targeted at youth residing in Tasmania aged between 13 and 25 years to understand their preferences for mental health service access.
To develop choice sets suitable for a CBC and relevant to the aim of this study, a comprehensive review of the mental health service literature was conducted to identify possible factors important for youth when considering mental health service access. This approach parallels other CBCs in health research [26-28]. A total of seven attributes were identified from the literature: mental health concern, service provider, wait time, service delivery method, cost, travel time and mode of transport (Table 1). Within these seven attributes, between two and five plausible levels were assigned to discriminate youth preferences based on knowledge of the study context and as suggested by the literature [18, 25, 29] (Table 1). This number of attributes and levels gave rise to a complete set of possible choice sets. Given the large number of combinations was not feasible to employ, fractional experimental design was applied. Fractional experimental design reduces the size of the complete experimental design while limiting the loss of critical information [30]. Sawtooth Software (Sawtooth Software Inc. Provo, Utah, USA, 2020) was employed to automatically generate (i.e., mapping of attributes and their levels to set various alternatives/options) questions asked during the CBC by fractional experimental design [17]. The literature suggests the number of options in each choice set should be at least two [29]. Further, research suggests that the number of choice sets for a CBC should range between 8 to 15 [29]. Therefore, for this study, 12 choice sets comprising two options were presented, with respondents forced to select only one of the two options presented (File S1 provides an example of a choice set).
Attributes | Description | Levels |
---|---|---|
Mental health concern | The level of concern about your mental health | Extremely concerned |
Very concerned | ||
Concerned | ||
Service provider | Professional providing the services | General practitioner |
Psychologist | ||
School social worker/nurse | ||
Youth mental health service (e.g., headspace) | ||
Wait time | How long do you wait to receive services? | No wait |
1 Week | ||
2 Weeks | ||
3 Weeks | ||
4 Weeks or more | ||
Service delivery method | How is the service delivered? | In-person (Face to face) |
Online (Telehealth) | ||
Cost | What you pay for per visit | Free |
$10 | ||
$25 | ||
$50 | ||
$75 or more | ||
Travel time | Time taken to travel to the service | Up to 5 min |
15 min | ||
30 min | ||
45 min or more | ||
Transport mode | How do you get to the service? | Car or motorbike |
Bus | ||
Cycle/walk or other |
A simulation was conducted using Sawtooth Software to ensure the combination of the attributes converged with standard errors between 0.05 and 0.1 [31]. In order to validate CBC responses received from youth, it was necessary to determine irrational responses; that is, responses that were considered random in nature, and those responses received too quickly to have given the survey due consideration (also known as speeders). In order to identify random responses, Orme (2019) proposed using Root Likelihood (RLH) based on probability from 0 to 1 to identify cut-off points for random and non-random responses [32]. The cut-off points are based on RLH probability values, and for the purposes of this study, the RLH cut-off to identify random responses was ≤ 0.84. Speeders are subjectively determined. In this study, speeders were considered respondents who completed a survey in an average of 2.5 min or less. This is based on the fact that respondents should spend an average of at least 2 s on each webpage responding to socio-demographic and background information questions (16 webpages) and an average of at least 10 s on each of the 12 CBC tasks [33].
2.3 Recruitment and Data Collection
Based on the advantages of online recruitment [34] and its use in other CBCs involving young people [35], this study opted to use an online survey to conduct the CBC. Youth were recruited through a sponsored social media advertisement (Facebook), presented over an 8-week period in December 2020 and February 2021. This period was chosen as it coincided with school holidays in Tasmania when it was anticipated that youth may be engaging more frequently with social media. The online survey was embedded in the advertisement as a link, with participation entirely voluntary and anonymous and completion implying consent (see File S2). Young people under 18 years were encouraged to discuss the online survey with a parent or guardian prior to completing it; however, this was not a mandatory requirement for participation. Survey data were collected through the Sawtooth Software hosting service incorporated in Lighthouse Studio V9.9.0 (Sawtooth Software Inc. Provo, Utah, USA, 2020).
2.4 Data Analysis
Prior to analysis, residential suburb was used to create three additional socio-demographic variables for each survey respondent including: Modified Monash Model (MM) category [22]; Socio-Economic Indexes for Areas-Index of Relative Socio-economic Disadvantage (SEIFA-IRSD) [36]; and Australian Bureau of Statistics Statistical Areas 4 location (ABS-SA4) [37]. Data were then analysed in SPSS V24 (IBM SPSS Statistics for Windows, Armonk, NY: IBM Corp, 2018). Simple descriptive statistics were conducted, with chi-square tests used to identify significant associations for categorical variables and Mann–Whitney U tests for continuous variables. p-values of < 0.05 were considered statistically significant.
Sawtooth Software was used to analyse choice data derived from the CBC component of the online survey [24]. Mixed logit embedded in Sawtooth Software was used to analyse choice data because it can be applied in any choice model random utility scenario [24, 38] and is better suited to utility choice-based data than other models [35, 38]. A preliminary counting analysis was conducted, which identified the number of times a level was selected when included in a choice set. The hierarchical Bayes mixed logit model was then used to generate the final results.
2.5 Ethical Approval
Ethics statement to conduct the study was provided by an academic institute.
3 Results
3.1 Survey Responses
A total of 374 completed surveys were received, of which 20 were initially excluded because the respondents either did not reside in Tasmania or were not aged between 13 and 25 years. Of the remaining responses, 139 were excluded as random respondents, while a further respondent was identified as a speeder (completed survey in an average of less than 2.5 min), leaving a total of 214 included survey responses.
3.2 Demographic Characteristics
Survey respondents were mostly female (n = 178, 83.2%), aged between 18 and 25 years (n = 134, 62.6%), and just over half (n = 122, 57.0%) were from Hobart, Tasmania's capital city (Table 2). Based on rurality, most survey respondents were from regional (MM2) locations (n = 169, 79%), with the remainder from either rural or remote (MM3-7) areas (n = 45, 21.0%). Survey respondents were equally representative of areas most socio-economically disadvantaged (52.8% in quintiles 1 and 2) and least disadvantaged (47.2% in quintiles 3, 4 and 5).
Variables | n (%) |
---|---|
Age | |
13–17 years | 80 (37.4) |
18–25 years | 134 (62.6) |
Spoke with a parent or other adult before completing the survey | |
Yes | 52 (65.0) |
No | 28 (35.0) |
Gender | |
Male | 30 (14.0) |
Female | 178 (83.2) |
Other | 6 (2.8) |
Location | |
Hobart | 122 (57.0) |
Launceston and North East | 52 (24.3) |
West and North West | 31 (14.5) |
South East | 9 (4.2) |
Rurality | |
MM2 (Regional) | 169 (79.0) |
MM3-7 (Rural and Remote) | 45 (21.0) |
Socio-economic disadvantage | |
Quintile 1 (Most disadvantaged) | 59 (27.6) |
Quintile 2 | 54 (25.2) |
Quintile 3 | 23 (10.7) |
Quintile 4 | 50 (23.4) |
Quintile 5 (Least disadvantaged) | 28 (13.1) |
Studying status | |
Yes | 153 (71.5) |
No | 61 (28.5) |
Education level | |
High School (years 7 to 10) | 32 (20.9) |
College (years 11 and 12) | 41 (26.8) |
Technical and Further Education (TAFE) | 11 (7.2) |
University | 69 (45.1) |
Living situation | |
Somewhere to live and accommodation is not an issue | 184 (86.0) |
Somewhere to live but accommodation is an issue | 24 (11.2) |
Risk of being homeless soon | 4 (1.9) |
Homeless/sleeping rough | 2 (0.9) |
Employed | |
Yes | 120 (56.1) |
No | 94 (43.9) |
Main mode of transport | |
Private car or motorbike | 148 (69.2) |
Public transport | 44 (20.6) |
Bicycle, walking or other | 22 (10.3) |
Aware of mental health services | |
Yes | 176 (82.2) |
No | 38 (17.8) |
Just under three-quarters (n = 153, 71.5%) of survey respondents were studying, with most of them at the university (45.1%). Most (n = 184, 86.0%) survey respondents had somewhere to live and indicated accommodation was not an issue, and just over half (n = 120, 56.1%) were in paid work. More survey respondents indicated their regular mode of transport was a private car or motorbike (69.2%) compared to public transport (20.6%). The majority (82.2%) of youth surveyed indicated they knew where to get help if worried about their mental health status.
3.3 Choice-Based Conjoint Analysis Results
3.3.1 Attribute Importance
Based on youth responses to choice sets, the service provider was the most important attribute (25.6%, SD = 12.0%) when considering mental health service access, followed closely by cost (25.0%, SD = 16.0%) and wait time (22.4%, SD = 7.5%) (Table 3). The least important attribute when considering mental health service access was transport mode (3.9%, SD = 2.0).
Attributes | Average importance (%) | Standard deviation (SD) |
---|---|---|
Service provider | 25.6 | 12.0 |
Cost | 25.0 | 16.0 |
Wait time | 22.4 | 7.5 |
Service delivery method | 13.1 | 11.1 |
Travel time | 5.5 | 2.3 |
Mental health concern | 4.4 | 2.3 |
Transport mode | 3.9 | 2.0 |
The importance of wait time was significantly different depending on employment status (U = 4517, p = 0.012), transport mode (U = 3608, p = 0.002) and mental health service awareness (U = 2554, p = 0.022) (Table 4). Youth respondents in paid work placed higher importance on wait time than those not in paid work (mean rank of 116.9 compared to 95.6). Similarly, youth respondents using private cars or motorbikes as their regular mode of transport ranked wait time higher than those using public transport, bicycle or walking (mean rank of 116.1 compared to 88.2). Further, youth aware of where to get help if worried about their mental health ranked wait time as more important than those not aware of available services (mean rank of 112.0 and 86.7, respectively).
Variables | Mean ranks | n | p |
---|---|---|---|
Wait time | |||
Employed | |||
Yes | 116.9 | 120 | |
No | 95.6 | 94 | 0.012 |
Transport mode | |||
Private car or motorbike | 116.1 | 148 | |
Public transport and bicycle, walking or other | 88.2 | 66 | 0.002 |
Aware of mental health services | |||
Yes | 112.0 | 176 | |
No | 86.7 | 38 | 0.022 |
Service delivery method | |||
Rurality | |||
MM2 | 112.5 | 169 | |
MM3, MM5 and MM6 | 88.6 | 45 | 0.021 |
Socio-economic disadvantage | |||
Quintiles 1 and 2 | 99.1 | 113 | |
Quintile 3, 4 and 5 | 116.9 | 101 | 0.037 |
Cost | |||
Spoke with a parent or other adult about completing the survey | |||
Yes | 36.6 | 52 | |
No | 47.8 | 28 | 0.040 |
Education level | |||
High School | 93.2 | 32 | |
College, TAFE and University | 72.7 | 121 | 0.020 |
Employed | |||
Yes | 95.2 | 120 | |
No | 123.2 | 94 | 0.001 |
Travel time | |||
Studying status | |||
Yes | 114.6 | 153 | |
No | 89.8 | 61 | 0.008 |
The importance of service delivery method also differed based on rurality (U = 2950, p = 0.021), and socio-economic disadvantage (U = 4762, p = 0.037). Youth residing in regional areas (MM2), and those living in less disadvantaged areas (quintiles 3, 4 and 5), placed higher importance on service delivery method (mean rank of 112.5 and 116.9, respectively) compared to those residing in rural and remote communities (MM3-7) and those from the most disadvantaged areas (quintiles 1 and 2) (mean rank of 88.6 and 99.1, respectively).
The importance of cost was different amongst respondents based on whether they spoke with a parent or other adult about completing the survey (U = 524, p = 0.04), education level (U = 1418, p = 0.02) and employment status (U = 4160, p = 0.001). Those respondents under 18 who did not speak with a parent or other adult about completing the survey placed higher importance on cost than those respondents who did (mean rank of 47.8 versus 36.6, respectively). Those respondents studying in high school placed a higher importance on cost than those in college, TAFE or university (mean rank of 93.2 and 72.7, respectively). Finally, youth respondents not in paid work placed higher importance on cost than those in paid work (mean rank of 123.2 and 95.2, respectively).
The importance placed on travel time was only significantly different for respondents depending on studying status (U = 3587, p = 0.008), with youth respondents who were studying placing higher importance on this attribute than those not studying (mean rank of 114.6 and 89.8, respectively).
3.3.2 Within Attribute (Levels) Utility
Using counting analysis to identify how often respondents selected mental health service access based on the level of an attribute level, respondents would access mental health services regardless of their level of mental health concern, the travel time involved or transport mode (Table 5). However, there were significant differences in the frequency of choice among the four levels within the attribute service provider (p < 0.01), with the psychologist chosen about twice as often (68.5%) as the school social worker or nurse (32.5%). The choice among levels within the attribute wait time was also significantly different (p < 0.01), with no wait selected more often (65.9%) than the maximum wait time of 4 weeks or more (35.2%). Respondents selected mental health service access more often when services were offered face-to-face (62.5%) versus via telehealth (37.4%) (p < 0.01), and when free (68%) compared to $75 or more (32.0%) (p < 0.01).
Attribute and levels | Counting analysis results (%) | p | Hierarchical Bayes average utilities | Standard deviation (SD) |
---|---|---|---|---|
Mental health concern | > 0.05 | |||
Extremely concerned | 51.1 | 3.6 | 12.7 | |
Very concerned | 50.8 | 3.8 | 13.6 | |
Concerned | 48.1 | −7.4 | 15.7 | |
Service provider | < 0.01 | |||
General Practitioner | 51.1 | 7.9 | 42.2 | |
Psychologist | 68.5 | 84.5 | 45.4 | |
School social worker or nurse | 32.5 | −81.0 | 59.0 | |
Youth mental health service (e.g., headspace) | 48.0 | −11.4 | 39.1 | |
Wait time | < 0.01 | |||
No wait | 65.9 | 75.5 | 34.5 | |
1 Week | 57.4 | 39.6 | 20.4 | |
2 Weeks | 49.1 | −3.9 | 14.4 | |
3 Weeks | 42.5 | −31.0 | 25.9 | |
4 Weeks or more | 35.2 | −80.2 | 22.6 | |
Service delivery method | < 0.01 | |||
In-person (face to face) | 62.5 | 38.8 | 45.7 | |
Online (telehealth) | 37.4 | −38.8 | 45.7 | |
Cost | < 0.01 | |||
Free | 68.0 | 78.9 | 54.5 | |
$10 | 57.1 | 29.2 | 35.8 | |
$25 | 53.2 | 17.9 | 26.0 | |
$50 | 40.3 | −38.9 | 38.5 | |
$75 or more | 32.0 | −87.2 | 69.3 | |
Travel time | > 0.05 | |||
Up to 5 min | 48.9 | −4.9 | 10.7 | |
15 min | 51.6 | 11.8 | 13.0 | |
30 min | 51.0 | 5.0 | 14.1 | |
45 min or more | 48.6 | −11.9 | 15.5 | |
Transport mode | > 0.05 | |||
Car or motorbike | 51.4 | 4.8 | 14.1 | |
Bus | 48.5 | −3.5 | 11.0 | |
Cycle/walk or other | 50.1 | −1.3 | 13.0 |
Regarding mental health concern, respondents were similar in their selections when they were extremely concerned (average utility 3.6) or very concerned (average utility 3.8) and lowest when concerned (average utility −7.4) (Table 5). For service provider, respondents' preference was highest for the psychologist (average utility 84.5) and lowest for the school nurse or social worker (average utility −81.0). There was a clear inverse relationship between wait time and preference for accessing mental health services. Youth preference was highest when there was no wait (average utility 75.5) and lowest when the wait was 4 weeks or more (average utility −80.2). Similarly, this inverse relationship was also noted for cost, with young people preferring free services (average utility 78.9) compared to paying. Preferences decreased with increased costs (average utility for the highest payment costs $75 or more was −87.2). Respondents in this study expressed a preference for face-to-face services (average utility of 38.8) compared to telehealth (average utility of −38.8).
Travel time of 15 min (average utility 11.8) was most preferred by youth; however, a distance equivalent to 30 min of travel time (average utility 5) was preferred over up to 5 min (average utility −4.9). Regarding transport mode, private car or motorbike was preferred (average utility 4.8), to cycling or walking (average utility −1.3), with public transport the least preferred option (average utility −3.5).
4 Discussion
To our knowledge, no study has used a choice-based conjoint analysis (CBC) to examine the relative importance of service-related factors non-metropolitan youth may consider when choosing to access mental health services. In this study of young people residing in Tasmania, a largely non-metropolitan island, service provider was the most important of the seven attributes presented, with the highest preference within this attribute for psychologists. These findings contradict other Australian studies which have identified a greater preference for mental health support amongst rural youth from school counsellors and general practitioners [12, 14, 39]. However, differences may reflect different population ages, with some studies sampling school-aged youth only [39]. This study included a lower proportion of youth aged 18 years or under who were likely to be at high school or secondary college where access to school-based mental health professionals (e.g., social workers and nurses) would be promoted [12]. This suggests that youth preferences for certain types of mental health support may be influenced by age and context.
Cost was the second most important factor for Tasmanian youth when considering mental health service access, with youth preferring free services versus incurring out-of-pocket costs. This finding validates the literature describing cost as a key hindrance in mental healthcare access [14] and reinforces the importance of providing locally accessible free mental health service options to limit access barriers [12]. While not all available mental health services offered in non-metropolitan areas incur out-of-pocket costs, youth can be unaware of this [40]. Therefore, marketing of available services also appears important, especially given that financial ramifications appear more important to financially dependent younger people and those unemployed.
Consistent with the literature, wait time was important for Tasmanian youth when considering mental health service access [40], with youth indicating a preference for either immediate services or a wait of up to 1 week compared to waiting periods of 2 to 4 weeks. Long waiting periods have been shown to result in youth foregoing services [41], failing to attend scheduled appointments [14] and seeking alternative service providers or social supports to address mental health concerns [12]. This can be a challenge in non-metropolitan areas which struggle to attract and retain suitably qualified professionals [42]. Interestingly, this study found that wait time was of higher importance to youth in paid work, most likely due to the fact that they may be in a stronger financial position to afford a range of service options. Youth with access to a car or motorbike also placed higher importance on wait time, which may reflect their ability to travel to a service that had a shorter wait time more easily than those using public transport, walking or cycling.
In circumstances where barriers exist to mental healthcare, particularly in non-metropolitan areas, telehealth has been introduced to facilitate service provision [43]. Telehealth can provide many advantages to youth needing mental health support such as affording the user greater privacy [44], reducing the embarrassment associated with mental health service access [5], negating travel time and financial impacts [45] and offering greater convenience [46]. Despite this, our study found Tasmanian youth placed a higher preference for accessing mental health services in person. Interestingly, a preference for face-to-face attendance has been observed in other studies of both non-metropolitan [12, 14], and metropolitan Australian youth [47], suggesting a desire to physically connect with mental health professionals; possibly for reasons of safety, comfort and a greater sense of ‘being with’ another when discussing mental health concerns [48]. These results underscore the importance of establishing a physical presence that provides youth with the opportunity to connect with mental healthcare professionals; a model demonstrated by headspace an Australian mental health service where physical centres are accessible for youth in non-metropolitan locations across the country [49].
This study observed that the importance placed on service delivery methods was predicted by where youths lived; both their geographic rurality (MM) and their level of socio-economic disadvantage (SEIFA-IRSD). Tasmanian youth living in more densely populated regional areas (MM2) placed higher importance on face-to-face service delivery than those from rural areas (MM3-7). This trend echoes other surveys of non-metropolitan youth, highlighting differences in service preferences with increasing remoteness [14]. In regional (MM2) areas of Tasmania and elsewhere, greater availability of public transport, shorter travel distances and lower travel-related costs may make it easier for youth to attend a service in person. Given these factors become increasingly problematic with rurality, youth residing in more rural and remote (MM3-7) areas may be more familiar with telehealth service delivery for other health conditions and therefore be less opposed (or more resigned) to accessing mental health services through this modality [50]. However, this should not imply that youths living in more rural or remote (MM3-7) settings of Tasmania do not want face-to-face mental healthcare, with Klinner et al. (2023) emphasising that even those living long distances from mental health services would like to physically attend appointments [12]. The challenge is to identify opportunities to establish local services that can be well utilised and hence achieve sustainability in the smaller population centres of rural and remote areas.
A prior survey of non-metropolitan Australian youth found that around a quarter of respondents felt they did not have the time to access mental healthcare even if they wanted to [14]. However, when given choices between differing travel times in this study, Tasmanian youth did not demonstrate significant differences between choice levels. Tasmanian youth ranked their highest preference as 15 min travel time compared to all other levels, which included a shorter travel time of up to 5 min. This may be due to the nature of the topic under study (mental health) and the possible embarrassment, especially for younger people, who may have deliberately selected to travel outside of their immediate residential area (< 5 min travel) to protect their privacy [5, 12]. Further, it may be that Tasmanian youth knew that mental health services were not available in their local area and may have indicated the length of time they would need to travel to access the closest services.
Study status was the only demographic characteristic found to be significantly associated with the importance placed on travel time; a likely corollary of the time-poor nature of students. Positively, Tasmanian youth appeared equally willing to access mental health services regardless of whether they were extremely concerned, very concerned or concerned about their mental health, suggesting that they are likely to be proactive and seek early intervention before concerns and symptoms escalate. This study also found no difference in preferences for service access based on the level of mental health concern between males and females. This finding differs from that reported in the literature, where it is suggested that females are more likely to be concerned about mental health and seek services compared to males [14].
The literature suggests that lack of transportation is a barrier to accessing mental health services for non-metropolitan youth, especially in circumstances of low car ownership and limited public transport infrastructure [14]. However, this study found that of all seven attributes, transport mode was ranked lowest in importance for Tasmanian youth. This suggests that respondents felt that they could travel to a mental health service if needed. Most respondents indicated their primary means of transport was a private car or motorbike. Travel was, therefore, a little easier than if they had to rely on public transport. Also, most respondents were recruited from regional (MM2) areas of the state with larger populations and hence better public transport infrastructure to allow travel to and from services.
There are several limitations to this study. The study was limited to one State of Australia, Tasmanian youth self-selected to participate in the survey, which means those who responded were motivated due to familiarity or interest in mental health. Second, this study did not account for mental health status; therefore, it is not known how much their choices were influenced by lived experience of mental illness. Third, recruitment using social media inherently favoured youth with access to social media platforms; although the potential effect of this bias may be low given the widespread use of Facebook amongst youth [51]. Fourth, the survey had many random responses. This may have been due to the online administration of the survey, which likely increased the distractibility of responding youths [52]. Finally, this study recorded low participation of males and youth from rural (MM3-7) areas, which reduces the generalisability of results to the broader Tasmanian population. Further research is required to understand any gender-related differences in choice for mental health service access considering their vulnerability to undiagnosed mental health conditions [53].
5 Conclusions
Non-metropolitan youth residing in Tasmania placed higher importance on the type of service provider, cost, wait time and service delivery method when considering mental health service access. Tasmanian youth preferred to access a mental health service delivered by a psychologist, in person, for no cost and with the shortest wait time. While these findings provide empirical data to assist in the design of youth mental health services in Tasmania and other non-metropolitan settings, further research is required to ascertain whether the mental healthcare preferences of non-metropolitan youth change according to gender, geographical location, mental health status, level of mental health literacy or with a greater variety in available service providers and service delivery methods.
Author Contributions
Edwin Paul Mseke: conceptualisation; writing – original draft; review and editing; Methodology. Belinda Jessup: conceptualisation; writing – original draft; writing – review and editing; methodology and supervision. Tony Barnett: conceptualisation; writing – review and editing; methodology and supervision.
Acknowledgements
We thank and acknowledge the University of Tasmania for the financial support provided through the Australian Government Rural Health Multidisciplinary Training (RHMT) programme. We also especially thank all study participants. Open access publishing facilitated by University of Tasmania, as part of the Wiley - University of Tasmania agreement via the Council of Australian University Librarians.
Ethics Statement
Ethical approval to conduct the study was provided by the University of Tasmania, Social Sciences Human Research Ethics Committee (H0020228).
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.