Introduction

Childhood brain tumours are the second most common cancer after leukaemia and the most common solid tumour [1]. Advances in treatment have meant that the survival of children treated for brain tumours has improved significantly [2, 3]. Recent statistics report that the 5-year survival rate for all childhood brain tumours is 73.3% and 10-year survival is 69.9% [2].

Improvements in survival rates are encouraging, yet the quality of extended survival is equally important. Teenage and young adult (TYA) survivors of childhood brain tumours are an ever-growing population, many of whom live with late effects as a consequence of their tumour and treatment [4, 5]. Young adulthood is a period of change, dramatically characterised by sexual maturity, hormonal activity, rapid physiological development and complex emotional change. For most young people, these developmental years are profound and important. However, TYA childhood brain tumour survivors are often faced with tensions between their emerging abilities, and their reduced capabilities imposed by their tumour and treatments [6].

Responsibility for caring and supporting survivors is often met by their immediate family, usually parents. This caring role often continues into long-term survivorship and is complicated by survivors unique late effects, including neurocognitive deficits, physical disabilities and social issues [6]. Previous research has suggested that caregivers of brain tumour survivors may have worse quality of life than caregivers of other cancer groups [7], and experience greater stress and worse parental mental health than parents with children without health problems [8, 9]. Previous studies in other cancer groups have also found associations between aspects of caregiver wellbeing and patient survival [10], outcomes and well-being [11, 12]. Supporting caregivers to perform their responsibilities, while keeping their own physical and emotional health, is essential.

Supportive care needs in cancer survivors are diverse and fall into numerous domains, such as physical, psychological, practical and information. Here we define ‘needs’ as having ‘the requirement of some action or resource that is necessary, desirable or useful to attain optimal well-being’ (Foot, 1996, as cited in Sanson-Fisher, et al., 2000, p.227) [13].

Currently, there is insufficient knowledge of what TYA brain tumour survivors and their caregivers specifically need from supportive care [6]. To better services, having a clear overview of unmet supportive care needs this population is crucial — yet, we found little research addressing this in our recent systematic review [14]. TYA brain tumour survivors are a unique patient cohort with specific challenges and vulnerabilities, including the desire to gain independence, educational issues and exploring romantic relationships [14]. It is important that their needs are accessed separately from children or older adult survivors as their needs will be influenced by unique developmental issues, life milestones and other age-related issues.

Therefore, we aimed to (1) describe the unmet supportive care needs of TYA survivors of childhood brain tumours and their caregivers, (2) explore if sociodemographic/clinical data are associated with unmet needs and (3) determine whether unmet needs are associated with quality of life (QoL) outcomes.

Methods

Study design

These findings are from the quantitative phase of a mixed-methods study. The qualitative phase is described elsewhere [14]. In this paper, we report the quantitative phase which consisted of a cross-sectional survey. We used the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist when writing the report [15].

Throughout the study a Patient Advisory Group was consulted to ensure that the research remained patient-centred and appropriate. Members were sought through a national brain tumour charity — brainstrust. The group consisted of three parent caregivers and one childhood brain tumour survivor aged 15 years old. The representatives provided feedback (in face-to-face meetings and via email) on study aims, study methods (e.g. the best ways to collect data, outcome measures), study materials (e.g. checking the clarity of language used in information sheets) and study outcomes (e.g. types of dissemination).

Study population and recruitment

Participants were eligible if they were primary brain tumour survivors: currently aged 13–30, diagnosed before 14 years of age and at least 5 years from diagnosis. Globally the age range for TYAs is highly variable [16, 17]. The lower age limit was chosen as in the UK, the lower limit for TYA supportive care is generally defined as 13 years of age [17, 18]. In the UK, the upper limit is normally defined as 24 years of age [17, 18]. However, there is an argument that this is too low, as the transition to adulthood is becoming prolonged [19]. For example, the age of first marriage is higher than in previous decades. Therefore, as guided by our Patient Advisory Group we set the upper age boundary to 30. Caregivers were eligible if identified as the primary caregiver of the survivor. Survivors were not eligible if they suffered serious cognitive dysfunction impeding their ability to complete study procedures.

Recruitment took place from October 2018 to February 2020. Participants were recruited from three long-term follow-up National Health Service (NHS) clinics in Yorkshire, England. Survivors and caregivers who gave informed consent were asked to complete a self‐report survey about their own experiences either online or on paper. Support with survey completion was offered if needed (e.g. some survivors required the survey to be read to them due to poor eye sight). Survivors could take part without caregivers and vice versa.

In addition, an online version of the survey was advertised with help from three brain tumour charities (The Brain Tumour charity, brainstrust and Yorkshire’s Brain Tumour Charity).

Measures

Sociodemographic and clinical characteristics

Survivor and caregiver sociodemographic characteristics were obtained through self‐report questionnaires. The survivor’s clinical characteristics (e.g. brain tumour diagnosis and treatment) were obtained through medical record review. Participants who were recruited online were asked to self-report this data.

Supportive care needs

Survivor needs were measured using the Supportive Care Needs Survey Short Form (SCNS-SF34) [20]. The 34-item instrument assesses needs across five domains: psychological, physical and daily living, health system and information, patient care and support, and sexuality. The instrument previously demonstrated excellent internal consistency (α = 0.86 to 0.96), reliability (α = 0.90 to 0.95) and acceptable convergent validity (r = 0.48–0.56) in adult cancer patients. Caregiver needs were measured using the Supportive Care Needs Survey for Partners & Caregivers (SCNS-P&C) [21]. The SCNS-P&C is a 45-item instrument. Items are grouped into four domains: health-care service needs, psychological and emotional needs, work and social needs and information needs. This scale has demonstrated high internal consistency (α = 0.70) and reliability (α = 0.88–0.94) in caregivers of cancer patients [21].

Both SCNS questionnaires are answered by a 5‐point Likert scale (1 = no need/not applicable; 2 = no need; satisfied; 3 = low need; 4 = moderate need and 5 = high need). A standardised Likert scale score was calculated for each domain, with a possible 0 to 100 range. High scores indicated higher unmet needs [22].

Quality of life

Survivor’s QoL was measured using the Paediatric Functional Assessment of Cancer Therapy — Brain (Peds-FACT-Br), the adolescence specific module [23]. The Peds-FACT-Br (Adolescence) was chosen because it was disease specific (for brain tumour survivors) while also being age specific (for TYAs), and because the Patient Advisory Group preferred it over other tools. The Peds-FACT-Br has adequate internal consistency (α ≥ 0.75) and reliability (α = 0.69) when tested in childhood brain tumour survivors [24]. Caregivers’ quality of life was measured using The Caregiver Quality of Life Index–Cancer (CQOLC) [25]. The CQOLC possesses good internal consistency (α = 0.91), test–retest reliability (α = 0.95) and acceptable convergent validity (r = 0.08–0.64) when tested on cancer caregivers [25]. Scores could range from 0 to 148 (Peds-FACT-Br) and 0 to 140 (CQOLC), a higher score indicates better quality of life.

Data analysis

All analyses were performed using SPSS V.23. Descriptive analysis was used for sociodemographic and clinical characteristics as well as supportive care needs items. In addition, the mean summated scores from each domain in the SCNS-SF34 and SCNS-P&C were calculated to understand which domains scored the highest in relation to participants requiring the most help [22].

Univariable linear regression analyses were performed to explore associations between total unmet needs/individual domain scores (dependent variable) and independent variables: sociodemographic (e.g. age, sex and employment status) and survivor clinical characteristics (e.g. time since diagnosis and treatment). Variables selected were informed by our systematic review [6], but as little prior research exists, it was also in part explorative and guided by the limits of the data, e.g. there were too many categories for brain tumour diagnosis and location. Variables associated at p = 0.10 level were entered into a backward multivariable linear regression analysis.

The Pearson’s correlation coefficient was used to assess the relationship between total number of unmet needs and total QoL score. Values between ± 0 and 0.3 indicate a weak relationship, values between ± 0.3 and 0.7 indicate a moderate relationship and values between ± 0.7 and 1.0 indicate a strong relationship [26]. The overall QoL score was also correlated against the SCNS-SF34 and SCNS-P&C domains. A two-sided p value of 0.05 was considered statistically significant.

Missing data were less than 5%. Missing data were not replaced in the descriptive analyses. In the regression and correlation analyses where questionnaire subscale/domain scores were needed, the scores were prorated when less than half of the items within a domain were missing [27]. Where there were more missing data, the participant’s data for that scale or total score were excluded from the analysis.

Results

Sociodemographic and clinical characteristics of participants

In total, 112 participants completed the survey (69 survivors and 43 caregivers). Seventy-eight survivors and 53 caregivers were identified in long-term follow-up clinics and invited to partake in the survey, 50 survivors and 32 caregivers completed the survey (response rate = 64.1%/60.4%). Only one survivor with severe cognitive deficits (which clinical staff believed would prevent successful completion of study procedures) was not approached. A further 19 survivors and 11 caregivers were recruited online through charities.

Table 1 provides a summary of participants’ sociodemographic and clinical characteristics. There were more male survivors (53.6%), 40.5% were in some form of employment, over a third were unemployed/unable to work (33.3%) and the majority were single (79.7%). The mean age at diagnosis was 7.2 years and on average it was 17.4 years since their diagnosis. Diagnoses were varied; medulloblastomas (34.8%) and astrocytomas (26.1%) were the most common.

Table 1 Survivor and caregiver sociodemographic and clinical characteristics

Caregivers were mainly mothers (86.0%), a third (34.9%) were educated to university degree level and around half (55.9%) were in full or part-time employment. The majority were married (74.4%); around a fifth (20.9%) were not in a relationship.

Supportive care needs

Survivors on average reported 9.4 (range 0–30) unmet needs. Caregivers reported more unmet needs on average 12.4 (range 0–42). Table 2 details the percentage of survivors and caregivers experiencing at least one, three, five, ten or fifteen unmet needs. Overall, over three-quarters of survivors (78.3%) reported at least three unmet needs. And over a quarter of survivors (27.5%) had at least fifteen unmet needs. Fifteen (21.7%) reported no unmet supportive care needs.

Table 2 Frequency of survivor and caregiver unmet needs

Tables 3 and 4 present the percentages of unmet supportive care needs by domain, as assessed with the SCNS questionnaires in survivors and caregivers, respectively. Psychological unmet needs were most prominent for survivors, with the highest mean domain score (30.2 ± 23.9) as well as the majority of the top 10 ranked unmet needs (7/10). The top three unmet needs were all in the psychological domain: ‘Anxiety’ (60.3%); ‘Uncertainty about the future’ (50.7%) and ‘Feeling down or depressed’ (48.5%). The standardised scores were lowest in the sexuality domain (13.4 ± 19.5). The items with the lowest level of unmet needs were also in the sexuality domain: ‘Changes in sexual relationships’ (10.4%) and ‘Changes in sexual feelings’ (13.4%).

Table 3 Survivor unmet supportive care needs by domains and individual items of the SCNS-SF34
Table 4 Caregiver unmet supportive care needs by domain and individual items of the SCNS-PC

Regarding caregivers, the standardised scores (Table 4) indicate that psychological needs had the highest mean score of all the SCNS-P&C domains (28.8 ± 25.7). Also, half of the top 10 ranked unmet needs belonged to the psychological and emotional domain (5/10). The top unmet needs in this domain were ‘managing concerns about recurrence’, ‘dealing with others who don’t recognise the effects on your life of looking after the survivor’ and ‘making decisions about your life in the midst of uncertainty’ (all 41.5%). The information domain was another highly reported area of need (27.0 ± 26.2). Two of the highest ranked items were also in this domain, nearly half of caregivers wanted information about survivor fertility problems and financial support for themselves and/or the survivor (both 42.9%). The lowest standardised mean score was the work and social domain (25.2 ± 22.6). Yet, one of the top ranked unmet needs was in this domain, nearly half (42.9%) of caregivers identified a need for help with ‘the impact that caring for the survivor has had on their working life, or usual activities’.

Association between participant characteristics and supportive care needs

Univariate regression analysis identified six sociodemographic and clinical variables that significantly correlated (p < 0.10) with the reporting of survivor unmet needs. Unmet needs were more prevalent in females (r2 = 0.89, p = 0.013), survivors further away from diagnosis (r2 = 0.28, p = 0.090), those not in a relationship (r2 = 0.42 p = 0.092), those not in employment (r2 = 0.081 p = 0.018), those not treated with surgery (r2 = 0.43 p = 0.093) and chemotherapy (r2 = 0.52 p = 0.065). In the final multivariable model, sex, time since diagnosis and employment status remained statistically significantly associated with survivor unmet needs (r2 = 0.237, p < 0.01).

Univariate analysis identified three caregiver variables that significantly correlated (p < 0.10) with the reporting of unmet needs (Table 5). The analysis indicated that unmet needs were more prevalent in single caregivers (r2 = 0.281 p < 0.001), caregivers caring for younger survivors (r2 = 0.079, p = 0.079) and those caring for survivors closer to treatment (r2 = 0.102, p = 0.044). In the final multivariable model, only relationship status remained (B =  − 15.556, r2 = 0.281, p < 0.001, CI =  − 23.620, − 7.592). This indicates that single caregivers were more likely to report unmet needs, explaining 28.1% of the variance.

Table 5 Associations between overall survivor and caregiver supportive care needs scores and sociodemographic/clinical factors

QoL and supportive care needs

Survivors who had more unmet needs reported a lower QoL (r =  − 0.621, p < 0.001). All SCNS-SF34 needs domains were also significantly negatively correlated with QoL scores. The correlation coefficients ranged from a moderate negative association between QoL and sexuality needs (r =  − 0.358 p = 0.003) to a strong negative association between QoL and psychological needs (r =  − 0.751, p < 0.001).

Caregiver number of unmet needs were also significantly negatively associated with overall QoL score (r =  − 0.616, p < 001). All the SCNS-P&C needs domains were significantly negatively correlated with QoL. The strongest associations were between QoL and psychological and emotional needs (r =  − 0.652, p < 0.001). See supplementary information 1 for full QoL analysis data.

Discussion

This study provides valuable information on the supportive care needs of TYA childhood brain tumour survivors and their caregivers. Over three-quarters (76.8%) of survivors reported at least three unmet needs in long-term survivorship, while over a quarter (27.5%) reported at least 15 unmet needs. The most prevalent unmet needs were in the psychological domain, with around half of all survivors wanting support with anxiety, feeling down or depressed and uncertainty about the future. This highlights that psychological support services should be available not only during treatment but also in long-term survivorship. These findings are consistent with previous studies (mixed cancer cohorts, excluding brain tumours), who proposed a greater unmet need for long-term, post-treatment psychological interventions [28, 29]. There are no other quantitative studies that have looked at unmet needs in TYA survivors of childhood brain tumours [6], so we are unable to compare results directly.

We identified associations between survivor unmet needs and sociodemographic/clinical characteristics. Female survivors were more likely to report more needs. These findings are similar to Boyes and colleagues who looked at unmet needs and survivor characteristics (within mixed cancer survivors) [30]. They found that sociodemographic variables were more significant predictors of unmet needs than clinical ones and that sex (female) was associated with higher supportive care needs in survivors [30]. Additionally, unemployed survivors were more likely to experience unmet needs. There is little in the literature that highlights the association between unemployment and survivor needs. Yet, we know that adult survivors have difficulty securing and maintaining jobs, further indicating the need for support in this area [31]. Survivors further away from treatment were also more likely to experience unmet needs. It is often thought that time since diagnosis mitigates the effects of cancer. Yet, this finding highlights the importance of long-term survivorship care. These findings are similar to Keir et al., who found that long-term adult brain tumour survivors were as likely to be categorised as ‘stressed’ than patients closer to diagnosis [32].

The majority (88.4%) of caregivers experienced at least one unmet need. This number is higher than other studies. Balfe and colleagues found that around half of caregivers caring for an adult brain tumour survivor reported at least one unmet need [33]. Another study found that parents of children in treatment for cancer (mixed diagnoses) reported more unmet needs (83% had over 10 unmet needs) [34] compared to 46.5% in our report. Still, it is striking that the caregivers in this study had so many unmet needs years after treatment. Very few studies have addressed how caregiver problems and needs change throughout the illness trajectory, or how this interacts with changes in social support, QoL, employment and relationships. More longitudinal studies are needed to better understand how caregiver needs vary over time.

Like survivors, caregiver psychological needs were pressing. Yet, two of the most frequent caregiver unmet needs were in the information domain, with nearly half of all caregivers (42.9%) wanting information about survivor fertility, and financial support/governmental benefits. These findings suggest that new information resources should focus on these two areas. These are likely the most frequent needs of this population of caregivers because their loved ones are younger and these are or will soon be pressing issues. These unmet needs differ from caregivers of adult survivors, whose most pressing need was for support managing fears about recurrence [33]. The findings also highlight that long-term supportive services/care should pay attention to caregivers who are not in relationships, as they were more likely to experience unmet needs. This may be due to single caregivers having less informal support and relying more on formal supportive care services.

In both survivors and caregivers, we found moderate/strong negative correlations between unmet needs and poorer QoL. The strongest association was between poor QoL and unmet psychological needs. Again, reiterating psychological care is an essential area to target for significantly improving the general sense of survivors’ and caregivers’ quality of life. Previous studies with other cancer groups have found that addressing unmet needs leads to improved QoL [35, 36].

Our findings suggest that despite NICE guidelines recommending long-term multidisciplinary care and access to specialist care services [37], the psychological aspects of long-term care are not currently being adequately addressed. However, many services are strained and do not have the resources to address psychological concerns throughout long-term survivorship. Other barriers include long waiting lists, issues with referrals and a decline in supportive services as TYAs get older [14]. Therefore, signposting and referrals to psychological services provided in the community (e.g. by brain tumour charities) could be helpful for some survivors and caregivers.

There are few psychosocial intervention studies in the literature targeting long-term childhood cancer survivors, let alone this unique population. A systematic review by Bradford and Chan found a lack of high-quality studies and no conclusive evidence favouring specific interventions [38]. However, they concluded that using technology to deliver interventions is likely to improve delivery. Due to the unique late effects of this population (e.g. cognitive deficits and physical disabilities), we know that the format of information/support should be carefully considered [6]. Our study has also indicated the need for caregiver psychological support. More high‐quality research is needed to develop psychological interventions and test their effectiveness to support family caregivers [39].

This study provides multi-centre, brain tumour specific data, using validated measures. However, there are some limitations. First, sampling bias is a possibility. It may be that some survivors and caregivers did not complete the surveys because they felt unable to (due to high levels of anxiety, depression or cognitive limitations) or because they felt this research did not apply to them (they had zero late effects/needs). Second, most of the sample was recruited from three NHS Trusts located in Yorkshire in the UK, which may limit the generalisations of the findings. Third, the SCNS measures are well-validated tools for investigating multiple dimensions of supportive care needs. However, it is possible that they may not fully capture the unique needs of survivors and caregivers later in the survivorship phase, or those that are brain tumour specific. Therefore, this study may underestimate the prevalence of unmet needs reported by survivors and caregivers.

Conclusion

There is growing agreement across all cancer types that it is essential to meet the information and supportive care needs of those living with and beyond cancer [40, 41]. The data presented in this article extends the very limited research in this area by gaining an understanding of the supportive care needs of TYA childhood brain tumour survivors and their caregivers. Unmet supportive care needs were common in long-term TYA survivors and their caregivers, with some experiencing a very high number of unmet needs. The unmet needs among both TYA survivors and caregivers were predominantly in the psychological domain. These findings provide comprehensive insight that timely psychological support and interventions should be a high priority to support families in long-term survivorship and ensure a better QoL.