BackgroundDespite evidence that e-mental health services are effective, consumer preferences still appear to be in favor of face-to-face services. However, the theory of planned behavior (TPB) suggests that cognitive intentions are more proximal to behavior and thus may have a more direct influence on service use. Investigating individual characteristics that influence both preferences and intentions to use e-mental health services is important for better understanding factors that might impede or facilitate the use of these services.ObjectiveThis study explores predictors of preferences and intentions to access e-mental health services relative to face-to-face services. Five domains were investigated (demographics, technology factors, personality, psychopathology, and beliefs), identified from previous studies and informed by the Internet interventions model. We expected that more participants would report intentions to use e-mental health services relative to reported preferences for this type of support and that these 5 domains would be significantly associated with both intentions and preferences toward online services.MethodsA mixed sample of 308 community members and university students was recruited through social media and the host institution in Australia. Ages ranged between 17 and 68 years, and 82.5% (254/308) were female. Respondents completed an online survey. Chi-square analysis and t tests were used to explore group differences, and logistic regression models were employed to explore factors predicting preferences and intentions.ResultsMost respondents (85.7%, 264/308) preferred face-to-face services over e-mental health services. Relative to preferences, a larger proportion of respondents (39.6%, 122/308) endorsed intentions to use e-mental health services if experiencing mental health difficulties in the future. In terms of the 5 predictor domains, 95% CIs of odds ratios (OR) derived from bootstrapped standard errors suggested that prior experience with online services significantly predicted intentions to use self-help (95% CI 2.08-16.24) and therapist-assisted (95% CI 1.71-11.90) online services in future. Being older predicted increased intentions to use therapist-assisted online services in future (95% CI 1.01-1.06), as did more confidence using computers and the Internet (95% CI 1.06-2.69). Technology confidence was also found to predict greater preference for online services versus face-to-face options (95% CI 1.24-4.82), whereas higher doctor-related locus of control, or LOC (95% CI 0.76-0.95), and extraversion (95% CI 0.88-1.00) were predictive of lower likelihood of preferring online services relative to face-to-face services.ConclusionsDespite generally low reported preferences toward e-mental health services, intentions to access these services are higher, raising the question of how to best encourage translation of intentions into behavior (ie, actual use of programs). Strategies designed to ease people into new Internet-based mental health programs (to enhance confidence and familiar...

Objectives To measure rates of detection via screening, perceived self‐imposed delays in seeking medical attention, and support seeking in a sample of regional and remote people with a cancer diagnosis and to test whether an association exists between these behaviours and minimising problems and resignation, a need for self‐control and reliance and fatalism. Correlations and binary logistic regressions were conducted to test the associations between demographic characteristics, attitudes and behaviours. Results Females were more likely to have had their cancer detected via screening (OR = 10.02, CI = 3.49–28.78). Younger participants (r = −0.103, p = 0.009) were slightly more likely to seek at least one form of support and online support was sought more often by younger patients (r = −0.269, p < 0.001), females (r = 0.152, p < 0.001), those from higher socio‐economic (SES) areas (r = 0.100, p = 0.012), and those with higher education levels (r = 0.247, p < 0.001). Younger (r = −0.161, p < 0.001), and female (r = 0.82, p = 0.013), participants were also slightly more likely to seek support specifically through cancer support groups. No significant relationships between minimising problems and resignation, needs for control and self‐reliance or fatalism and detection via screening, support seeking, or perceived self‐imposed delays to seeking medical attention were apparent, with the exception that those with higher fatalism (predetermined health) were slightly less likely to report seeking support or information online (OR = 0.79, CI = 0.65–0.95) and slightly more likely to report using Cancer Council's support services (OR = 1.24, CI = 1.02–1.52). Conclusions Strategies to improve the accessibility and appropriateness of support available for regional and remote cancer patients should consider interventions that remove barriers to access associated with age, gender, and education as opposed to those which address the attitudinal traits measured here.

Purpose The purpose of the study was to investigate the amount and type of survivorship care information received by cancer survivors living in rural Australia and whether this varies according to demographic factors or cancer type. Methods Self-reported receipt of a survivorship care plan (SCP) and information on various aspects of survivorship care (e.g., managing side effects, healthy lifestyles, psychosocial advice and monitoring for recurrence) were collected from 215 cancer survivors who had returned home to a rural area in Queensland Australia after receiving cancer treatment in a major city within the previous 5 years (72% in the previous 12 months). Logistic regression was used to assess for differences across demographic factors and cancer type. Results Only 35% of participants reported receiving a SCP and proportions of those reporting the receipt of specific information varied from 74% for information on short-term side effects to less than 30% for information on finances, chemoprevention and monitoring for signs of recurrence. No significant differences were found in the receipt of survivorship care information across demographic factors or cancer type. Conclusions Findings suggest that cancer survivors living in rural areas are not consistently provided with adequate survivorship care information, particularly that pertaining to long-term health and recovery. Implications for Cancer Survivors Without improved systems for delivering survivorship care information to patients returning home to rural communities after treatment, these cancer survivors risk missing out on necessary information and advice to maintain their health, wellbeing and long-term recovery.

Objective: COVID-19 has led to disruptions to the lives of Australian families through social distancing, school closures, a temporary move to home-based online learning, and effective lockdown. Understanding the effects on child and adolescent mental health is important to inform policies to support communities as they continue to face the pandemic and future crises. This paper sought to report on mental health symptoms in Australian children and adolescents during the initial stages of the pandemic (May to November 2020) and to examine their association with child/family characteristics and exposure to the broad COVID-19 environment. Methods: An online baseline survey was completed by 1327 parents and carers of Australian children aged 4 to 17 years. Parents/carers reported on their child’s mental health using five measures, including emotional symptoms, conduct problems, hyperactivity/inattention, anxiety symptoms and depressive symptoms. Child/family characteristics and COVID-related variables were measured. Results: Overall, 30.5%, 26.3% and 9.5% of our sample scored in the high to very high range for emotional symptoms, conduct problems and hyperactivity/inattention, respectively. Similarly, 20.2% and 20.4% of our sample scored in the clinical range for anxiety symptoms and depressive symptoms, respectively. A child’s pre-existing mental health diagnosis, neurodevelopmental condition and chronic illness significantly predicted parent-reported child and adolescent mental health symptoms. Parental mental health symptoms, having a close contact with COVID-19 and applying for government financial assistance during COVID-19, were significantly associated with child and adolescent mental health symptoms. Conclusion: Our findings show that Australian children and adolescents experienced considerable levels of mental health symptoms during the initial phase of COVID-19. This highlights the need for targeted and effective support for affected youth, particularly for those with pre-existing vulnerabilities.

ObjectiveTo examine the health services experience of patients with cancer from regional and remote Australia using the Australian National Cancer Control Indicators (NCCI) guidelines as an assessment framework.DesignCross-sectional.SettingQueensland non-for-profit cancer accommodation lodges.ParticipantsParticipants were patients with cancer who travelled for treatment from rural and remote Queensland to major urban centres (n=518; age mean=64.6, SD=11.18).Outcome measuresAssessments included NCCI patient indicators, quality of life (QoL), psychological distress and unmet supportive care needs.ResultsThe frequency at which NCCI indicators were met ranged from 37.5% for receiving an assessment and care plan to 97.3% for understanding explanations about diagnosis. Geographical considerations did not impact patient experience, whereas middle school educated participants were more likely than those with senior-level education or higher to receive an assessment and care plan (OR=1.90, 95% CI 1.23 to 2.91) and to report having their views on treatment taken into account (OR=2.22, 95% CI 1.49 to 3.33). Patients with breast or prostate cancer reported better communication and patient involvement and information and services provision (r=p<0.001) compared with those with skin and head and neck cancer. When compared with information and service provision, communication and patient involvement showed stronger positive associations with QoL (z=2.03, p=0.042), psychosocial (z=2.05, p=0.040) and patient care (z=2.00, p=0.046) outcomes.ConclusionThe patient care experience varies across the NCCI indicators by sociodemographic and clinical factors that likely reflect healthcare system biases. Perceptions about communication and involvement appear most critical for optimal outcomes and should be a priority action area for cancer control.