High-Quality eHealth Websites for Information on Endometriosis: Systematic Search.

BACKGROUND: eHealth websites are increasingly being used by community members to obtain information about endometriosis. Additionally, clinicians can use these websites to enhance their understanding of the condition and refer patients to these websites. However, poor-quality information can adversely impact users. Therefore, a critical evaluation is needed to assess and recommend high-quality endometriosis websites. OBJECTIVE: This study aimed to evaluate the quality and provide recommendations for high-quality endometriosis eHealth websites for the community and clinicians. METHODS: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines informed 2 Google searches of international and Australian eHealth websites. The first search string used the terms "endometriosis," "adenomyosis," or "pelvic pain," whereas "Australia" was added to the second search string. Only free eHealth websites in English were included. ENLIGHT, a validated tool, was used to assess the quality across 7 domains such as usability, visual design, user engagement, content, therapeutic persuasiveness, therapeutic alliance, and general subjective evaluation. Websites with a total score of 3.5 or more were classified as "good" according to the ENLIGHT scoring system and are recommended as high-quality eHealth websites for information on endometriosis. RESULTS: In total, 117 eHealth websites were screened, and 80 were included in the quality assessment. Four high-quality eHealth websites (ie, those that scored 3.5 or more) were identified (Endometriosis Australia Facebook Page, Endometriosis UK, National Action Plan for Endometriosis on EndoActive, and Adenomyosis by the Medical Republic). These websites provided easily understood, engaging, and accurate information. Adenomyosis by the Medical Republic can be used as a resource in clinical practice. Most eHealth websites scored well, 3.5 or more in the domains of usability (n=76, 95%), visual design (n=64, 80%), and content (n=63, 79%). However, of the 63 websites, only 25 provided references and 26 provided authorship details. Few eHealth websites scored well on user engagement (n=18, 23%), therapeutic persuasiveness (n=2, 3%), and therapeutic alliance (n=22, 28%). In total, 30 (38%) eHealth websites scored well on general subjective evaluation. CONCLUSIONS: Although geographical location can influence the search results, we identified 4 high-quality endometriosis eHealth websites that can be recommended to the endometriosis community and clinicians. To improve quality, eHealth websites must provide evidence-based information with appropriate referencing and authorship. Factors that enhance usability, visual design, user engagement, therapeutic persuasiveness, and therapeutic alliance can lead to the successful and long-term uptake of eHealth websites. User engagement, therapeutic persuasiveness, and therapeutic alliance can be strengthened by sharing lived experiences and personal stories and by cocreating meaningful content for both the community and clinicians. Reach and discoverability can be improved by leveraging search engine optimization tools. TRIAL REGISTRATION: PROSPERO CRD42020185475; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=185475&VersionID=2124365.

A micro-randomized pilot study to examine the impact of just-in-time nudging on after-dinner snacking in adults with type 2 diabetes: A study protocol.

AIM: To determine whether a digital nudge soon after dinner reduces after-dinner snacking events as measured objectively by continuous glucose monitoring (CGM) in patients with type 2 diabetes (T2D). METHODS: This is a single-site micro-randomized trial (MRT). People with T2D, aged 18-75 years, managed with diet or a stable dose of oral antidiabetic medications for at least 3 months, and who habitual snack after dinner at least 3 nights per week, will be recruited. Picto-graphic nudges were designed by mixed research methods. After a 2-week lead-in phase to determine eligibility and snacking behaviours by a CGM detection algorithm developed by the investigators, participants will be micro-randomized daily (1:1) to a second 2-week period to either a picto-graphic nudge delivered-in-time (Intui Research) or no nudge. During lead-in and MRT phases, 24-hour glucose will be measured by CGM, sleep will be tracked by an under-mattress sleep sensor, and dinner timing will be captured daily by photographing the evening meal. RESULTS: The primary outcome is the difference in the incremental area under the CGM curve between nudging and non-nudging days during the period from 90 minutes after dinner until 04:00 AM. Secondary outcomes include the effect of baseline characteristics on treatment, and comparisons of glucose peaks and time-in-range between nudging and non-nudging days. The feasibility of 'just-in-time' messaging and nudge acceptability will be evaluated, along with the analysis of sleep quality measures and their night-to-night variability. CONCLUSIONS: This study will provide preliminary evidence of the impact of appropriately timed digital nudges on 24 -hour intertitial glucose levels resulting from altered after-dinner snacking in people with T2D. An exploratory sleep substudy will provide evidence of a bidirectional relationship between after-dinner snacking behaviour, glycaemia and sleep. Ultimately, this study will allow for the design of a future confirmatory study of the potential for digital nudging to improve health related behaviours and health outcomes.

Heart Rate Variability for Evaluating Psychological Stress Changes in Healthy Adults: A Scoping Review.

The utility of heart rate variability (HRV) for characterizing psychological stress is primarily impacted by methodological considerations such as study populations, experienced versus induced stress, and method of stress assessment. Here, we review studies on the associations between HRV and psychological stress, examining the nature of stress, ways stress was assessed, and HRV metrics used. The review was performed according to the PRISMA guidelines on select databases. Studies that examined the HRV-stress relationship via repeated measurements and validated psychometric instruments were included (n = 15). Participant numbers and ages ranged between 10 and 403 subjects and 18 and 60 years, respectively. Both experimental (n = 9) and real-life stress (n = 6) have been explored. While RMSSD was the most reported HRV metric (n = 10) significantly associated with stress, other metrics, including LF/HF (n = 7) and HF power (n = 6) were also reported. Various linear and nonlinear HRV metrics have been utilized, with nonlinear metrics used less often. The most frequently used psychometric instrument was the State-Trait Anxiety Inventory (n = 10), though various other instruments have been reported. In conclusion, HRV is a valid measure of the psychological stress response. Standard stress induction and assessment protocols combined with validated HRV measures in different domains will improve the validity of findings.

Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems.

BACKGROUND: Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health Records (EHRs) have the potential to enable early intervention into non-adherence events ("flags") through suggesting evidence-based courses of action. However, extant literature shows multiple barriers-perceived lack of benefit in following up low-risk cases, veracity of data, human-centric design concerns, etc.-to clinician follow-up in real-world settings. This study examined patterns in clinician decision making behaviour related to follow-up of non-adherence prompts within a community mental health clinic. METHODS: The prompts for follow-up, and the recording of clinician responses, were enabled by CDSS software (AI2). De-identified clinician notes recorded after reviewing a prompt were analysed using a thematic synthesis approach-starting with descriptions of clinician comments, then sorting into analytical themes related to design and, in parallel, a priori categories describing follow-up behaviours. Hypotheses derived from the literature about the follow-up categories' relationships with client and medication-subtype characteristics were tested. RESULTS: The majority of clients were Not Followed-up (n = 260; 78%; Followed-up: n = 71; 22%). The analytical themes emerging from the decision notes suggested contextual factors-the clients' environment, their clinical relationships, and medical needs-mediated how clinicians interacted with the CDSS flags. Significant differences were found between medication subtypes and follow-up, with Anti-depressants less likely to be followed up than Anti-Psychotics and Anxiolytics (χ2 = 35.196, 44.825; p < 0.001; v = 0.389, 0.499); and between the time taken to action Followed-up0 and Not-followed up1 flags (M0 = 31.78; M1 = 45.55; U = 12,119; p < 0.001; η2 = .05). CONCLUSION: These analyses encourage actively incorporating the input of consumers and carers, non-EHR data streams, and better incorporation of data from parallel health systems and other clinicians into CDSS designs to encourage follow-up.

COVID-19 and tinnitus: an initiative to improve tinnitus care.

OBJECTIVE: To investigate the effects of COVID-19 on individuals with tinnitus and their views to guide future tinnitus care. DESIGN: A mixed-methods cross-sectional research design. STUDY SAMPLE: An online survey was completed by 365 individuals with tinnitus from Australia and other countries. RESULTS: Tinnitus was reported to be more bothersome during the pandemic by 36% of respondents, whereas 59% reported no change and 5% reported less bothersome tinnitus. Nearly half of the respondents had received COVID-19 vaccination(s) and 12% of them reported more bothersome tinnitus while 2% developed tinnitus post-vaccination. Australian respondents spent less time in self-isolation or quarantine and saw fewer change in in-person social contact than respondents from other countries. More than 70% of respondents thought that tinnitus care services were insufficient both before and during the pandemic. Regarding their opinions on how to improve tinnitus care in the future, five themes including alleviation of condition, government policies, reduced barriers, self- and public-awareness, and hearing devices were identified. CONCLUSIONS: A majority of respondents did not perceive any change in tinnitus perception and one-third of respondents had worsened tinnitus during the pandemic. To improve tinnitus care, better awareness and more accessible resources and management are crucial.

Rapid national increases in the hospitalisation of Australian youth due to intentional self-harm between 2008 and 2019.

OBJECTIVE: Australian youth mental health services have received significant funding over the past 15 years. We analysed data on hospitalisation due to intentional self-harm to determine whether increased youth services were associated with reduction in a key indicator of youth population mental health. METHOD: Trends in national self-harm hospitalisation data from 2008 to 2019 for youth (<25 years) and adults (>25 years) were analysed using joinpoint regression. RESULTS: Rates of hospitalisation due to intentional self-harm increased significantly in both male (1.1% per annum, 95% CI [0.2%, 1.9%]) and female (3.0% per annum, 95% CI [0.9%, 5.1%]) youth aged <25 years between 2008 and 2019. Female youth had higher rates of hospitalisation than males, and there were average annual increases of 9.1% (95% CI [2.4%, 16.3%]) and 4.0% (95% CI [0.1%, 7.9%]), and absolute increases of 120% and 47.9%, in the rate of hospitalisation of females aged 0-14 and 15-19, respectively. In contrast, there was no overall change in adults (>25 years). CONCLUSIONS: Rates of hospitalisation due to intentional self-harm in Australian youth have increased despite significant investment in youth mental health services. This result could be attributable to several sociocultural factors and suggests a critical need for more hospital-based emergency youth mental health services.

Point of view: Could social media use be contributing to rising rates of deliberate self-harm and suicide in Australian youth populations?

OBJECTIVE: A rapid clinical update on the potential interplay between social media use and rates of deliberate self-harm amongst young people in Australia. CONCLUSIONS: Rising social media use has been associated with increasing cyberbullying and deliberate self-harm, especially in young women. On the other hand, social media use also provides beneficial support. Examination of problematic social media use in assessments of young people presenting with self-harm may be useful, along with discussion of responses to negative social media. In this point of view, we discuss these matters and the UK Royal College of Psychiatrists' recommendations for reducing the negative impact of social media.

Rethinking heart failure care and health technologies from early COVID-19 experiences - A narrative review.

Heart Failure (HF), a common chronic disease, requires multidisciplinary care to optimise outcomes. The COVID-19 pandemic, its impact on people's movement and access to health services, introduced severe challenges to chronic disease management. The era that will evolve after this pandemic is likely to provide uncertainty and service model disruptions. HF treatment is based on guidelines derived from randomised clinical trial evidence. Translational shortfalls from trials into practice have been overcome with post-trial service improvement studies like OPTIMIZE-HF where a team using a process of care can translate evidence to the general population. However, gaps remain for vulnerable populations e.g. those with more severe HF, with multiple comorbid conditions, and certain demographic groups and/or residents in remote locations. Health technology has come with great promise, to fill some of these gaps. The COVID-19 pandemic provides an opportunity to observe, from Australian healthcare lens, HF management outside the traditional model of care. This narrative review describes relatively recent events with health technology as a solution to improve on service gaps.

Demonstration of automated non-adherence and service disengagement risk monitoring with active follow-up for severe mental illness.

AIMS: Medication cessation and service disengagement often precedes relapse in people with severe mental illnesses but currently specialist mental health services only become involved after a relapse. Early detection of non-adherence is needed to enable intervention to avert relapse. This paper aims to demonstrate how digitally automated non-adherence risk monitoring from Medicare data with active follow-up can work and perform in practice in a real-world mental health service setting. METHODS: AI2 software is an automated risk monitoring tool to detect non-adherence using Medicare data. It was implemented prospectively in a cohort of 354 registered patients of a community mental health clinic between July 2019 and February 2020. Patients flagged as at risk by the software were reviewed by two clinicians. We describe the risks automatically flagged for non-adherence and the clinical responses. We examine differences in clinical and demographic factors in patients flagged at increased risk of non-adherence. RESULTS: In total, 46.7% (142/304) were flagged by the software as at risk of non-adherence, and 22% (31/142) received an intervention following clinician review of their case notes. Patients flagged by the software were older in age and had more prior mental health treatment episodes. More alerts were associated with patients who had been transferred from the mental health service to the care of their general practitioners, and those with more alerts were more likely to receive a follow-up intervention. CONCLUSION: Digitally automated monitoring for non-adherence risk is feasible and can be integrated into clinical workflows in community psychiatric and primary care settings. The technology may assist clinicians and services to detect non-adherence behaviour early, thereby triggering interventions that have the potential to reduce rates of mental health deterioration and acute illness relapse.

Determining the Influence of Psychiatric Comorbidity on Hospital Admissions in Cardiac Patients Through Multilevel Modelling of a Large Hospital Activity Data Set.

BACKGROUND: Increasingly, big data derived from administrative hospital records can be subject to analytics to provide clinical insights. The aim of this study was to determine the impact of psychiatric comorbidity on length of hospital stay and number of hospital admissions in cardiac patients utilising routinely collected hospitalisation records. METHODS: We routinely collected clinical and socio-demographic variables extracted from 37,580 cardiac patients, between 18 and 65 years old, admitted to South Australian hospitals between 2001/02 to 2010/11 financial years with cardiac diagnoses used to derive patient level and separation level variables used in the modelling. Multi-level models were constructed to analyse the impact of psychiatric comorbidity on both length of stay and the total number of hospitalisations, allowing for interactions between socioeconomic status and the burden of disease. Possible confounders for these models were, sex, age, indigenous status, country of birth, and rural status. RESULTS: For cardiac patients a mental health diagnosis was associated with an increase of 12.5% in the length of stay, and an increase in the number of stays by 20.0%. CONCLUSIONS: This study demonstrates the potential utility of routinely collected hospitalisation records to demonstrate the impact of psychiatric comorbidity on health service utilisation.

Health timeline: an insight-based study of a timeline visualization of clinical data.

BACKGROUND: The increasing complexity and volume of clinical data poses a challenge in the decision-making process. Data visualizations can assist in this process by speeding up the time required to analyze and understand clinical data. Even though empirical experiments show that visualizations facilitate clinical data understanding, a consistent method to assess their effectiveness is still missing. METHODS: The insight-based methodology determines the quality of insights a user acquires from the visualization. Insights receive a value from one to five points based on a domain-specific criteria. Five professional psychiatrists took part in the study using real de-identified clinical data spanning 4 years of medical history. RESULTS: A total of 50 assessments were transcribed and analyzed. Comparing a total of 558 insights using Health Timeline and 576 without, the mean value using the Timeline (1.7) was higher than without (1.26; p<0.01), similarly the cumulative value with the Timeline (11.87) was higher than without (10.96: p<0.01). The average time required to formulate the first insight with the Timeline was higher (13.16 s) than without (7 s; p<0.01). Seven insights achieved the highest possible value using Health Timeline while none were obtained without it. CONCLUSIONS: The Health Timeline effectively improved understanding of clinical data and helped participants recognize complex patterns from the data. By applying the insight-based methodology, the effectiveness of the Health Timeline was quantified, documented and demonstrated. As an outcome of this exercise, we propose the use of such methodologies to measure the effectiveness of visualizations that assist the clinical decision-making process.

Correlation between symptoms and functioning in psychiatric patients and temporal patterns of medication refills derived from pharmacy prescription claims.

OBJECTIVES:: Pharmacy dispensing claims data provide longitudinal records of prescriptions and refill events. Previous studies in psychiatric patients have utilised these data to derive indicators of medication adherence based on information regarding the amount of medication supplied and its dosage. An alternative approach was developed in which the regularity of medication refill events was analysed as a potential indicator of psychiatric patient symptoms and functioning. METHODS:: A method to quantify the regularity of medication refills was developed and subsequently used to investigate how the resulting regularity index (RI), derived from retrospective prescription refill records, correlated with symptomatic and functional assessments of 89 psychiatric patients after adjusting for covariates. RESULTS:: A two-step hierarchical regression model indicated that variances explained by prior hospitalisation and the RI were significant for patient scores on the Kessler 10 Psychological Distress Scale (K10), standard beta value 0.22, p < 0.05, for the SF-12 MC, standard beta value -0.31, p < 0.01, and the Work and Social Adjustment Scale (WSAS), standard beta value 0.31, p < 0.01. CONCLUSIONS:: This method to quantify the regularity of medication refills using prescription supply date alone may provide valuable information about patients' symptoms and functioning.

Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial.

BACKGROUND: Mental disorders are highly prevalent for the people who are aged between 16 and 25 years and can permanently disrupt the development of these individuals. Easily available mobile health (mHealth) apps for mobile phones have great potential for the prevention and early intervention of mental disorders in young adults, but interventions are required that can help individuals to both identify high-quality mobile apps and use them to change health and lifestyle behavior. OBJECTIVES: The study aimed to assess the efficacy of a Web-based self-guided app recommendation service ("The Toolbox") in improving the well-being of young Australians aged between 16 and 25 years. The intervention was developed in collaboration with young adults and consists of a curated list of 46 readily available health and well-being apps, assessed and rated by professionals and young people. Participants are guided by an interactive quiz and subsequently receive recommendations for particular apps to download and use based on their personal goals. METHODS: The study was a waitlist, parallel-arm, randomized controlled trial. Our primary outcome measure was change in well-being as measured by the Mental Health Continuum-Short Form (MHC-SF). We also employed ecological momentary assessments (EMAs) to track mood, energy, rest, and sleep. Participants were recruited from the general Australian population, via several Web-based and community strategies. The study was conducted through a Web-based platform consisting of a landing Web page and capabilities to administer study measures at different time points. Web-based measurements were self-assessed at baseline and 4 weeks, and EMAs were collected repeatedly at regular weekly intervals or ad hoc when participants interacted with the study platform. Primary outcomes were analyzed using linear mixed-models and intention-to-treat (ITT) analysis. RESULTS: A total of 387 participants completed baseline scores and were randomized into the trial. Results demonstrated no significant effect of "The Toolbox" intervention on participant well-being at 4 weeks compared with the control group (P=.66). There were also no significant differences between the intervention and control groups at 4 weeks on any of the subscales of the MHC-SF (psychological: P=.95, social: P=.42, emotional: P=.95). Repeat engagement with the study platform resulted in a significant difference in mood, energy, rest, and sleep trajectories between intervention and control groups as measured by EMAs (P<.01). CONCLUSIONS: This was the first study to assess the effectiveness of a Web-based well-being intervention in a sample of young adults. The design of the intervention utilized expert rating of existing apps and end-user codesign approaches resulting in an app recommendation service. Our finding suggests that recommended readily available mental health and well-being apps may not lead to improvements in the well-being of a nonclinical sample of young people, but might halt a decline in mood, energy, rest, and sleep. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12614000710628; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366145 (Archived by WebCite at http://www.webcitation.org/ 6pWDsnKme).

Characteristics of patients seen by visiting psychiatrists through Medicare in a rural community mental health service with an established telemedicine service.

OBJECTIVE: We aimed to determine characteristics of patients receiving Medicare-funded face-to-face consultations by psychiatrists in a rural service with an established telemedicine service. METHODS: For this study, 55 case-managed patients from four rural community mental health teams in South Australia provided information through questionnaires regarding psychological symptoms, quality of life, body mass index (BMI) and gave access to their Medicare data. RESULTS: In a logistic regression, it was found that being younger was more likely associated with a Medicare psychiatric consultation ( p<0.05). Participants with at least one recorded visit to a Medicare psychiatrist consultation also tended to have lower levels of psychological distress at the end of the 4-year period, have a higher BMI, and more general practitioner consultations. CONCLUSION: The study provides clinicians and policy makers with preliminary information on the subtle differences in clinical profile of patients seen by Medicare-funded psychiatrists within an established state-managed telepsychiatry service.

The promise and the reality: a mental health workforce perspective on technology-enhanced youth mental health service delivery.

BACKGROUND: Digital technologies show promise for reversing poor engagement of youth (16-24 years) with mental health services. In particular, mobile and internet based applications with communication capabilities can augment face-to-face mental health service provision. The literature in this field, however, fails to adequately capture the perspectives of the youth mental health workforce regarding utility and acceptability of technology for this purpose. METHODS: This paper describes results of in-depth qualitative data drawn from various stakeholders involved in provision of youth mental health services in one Australian rural region. Data were obtained using focus groups and semi-structured interviews with regional youth mental health clinicians, youth workers and support/management staff (n = 4 focus groups; n = 8 interviews) and analysed via inductive thematic analysis. RESULTS: Results question the acceptability of technology to engage clients within youth mental health services. Six main themes were identified: young people in a digital age, personal connection, power and vulnerability, professional identity, individual factors and organisational legitimacy. CONCLUSIONS: These findings deepen the understanding of risks and challenges faced when adopting new technologies in mental healthcare. Recommendations for technology design and implementation in mental health services are made.

Geography of primary mental health care through the Better Access initiative in South Australia 2006-2010.

OBJECTIVE: To examine how the rates of the use of particular face-to-face primary mental health care services changed in the first 4 years (2006-2010) of the Better Access initiative in both urban and rural regions of South Australia. DESIGN: Time-series analysis of the number of psychology session, psychiatry assessment and general practitioner care plan services recorded in Medicare Australia data. SETTING: South Australia. Pre-existing data set of South Australian residents who accessed Medicare between 2006 and 2010 MAIN OBJECTIVE MEASURE: Number of services per 100 000 population (service rate). RESULTS: Psychology session service rates increased in all regions, but continued to follow a 'location gradient', being higher in areas closer to Adelaide and lower in areas more distant from Adelaide. Psychiatry assessment service rates increased in Adelaide but did not change in other regions. Rates in remote areas were subject to substantial variation over time. General practitioner care plan service rates increased in Adelaide and in the Riverland, but declined in the Murray Mallee region. CONCLUSIONS: Overall, service rates increased in Adelaide and nearby regions, but the results for rural and remote regions were mixed. Possible explanations for the geographical variability include population characteristics (such as socio-economic status), methods of service delivery (visiting practitioners, telepsych), the relative proportion of total health services provided by general practitioners versus other practitioners, or real variations in the need for primary mental health services.

Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia.

BACKGROUND: To determine the extent to which variations in monthly Mental Health Emergency Department (MHED) presentations in South Australian Public Hospitals are associated with the Australian Bureau of Statistics (ABS) monthly unemployment rates. METHODS: Times series modelling of relationships between monthly MHED presentations to South Australian Public Hospitals derived from the Integrated South Australian Activity Collection (ISAAC) data base and the ABS monthly unemployment rates in South Australia between January 2004-June 2011. RESULTS: Time series modelling using monthly unemployment rates from ABS as a predictor variable explains 69% of the variation in monthly MHED presentations across public hospitals in South Australia. Thirty-two percent of the variation in current month's male MHED presentations can be predicted by using the 2 months' prior male unemployment rate. Over 63% of the variation in monthly female MHED presentations can be predicted by either male or female prior monthly unemployment rates. CONCLUSIONS: The findings of this study highlight that even with the relatively favourable economic conditions, small shifts in monthly unemployment rates can predict variations in monthly MHED presentations, particularly for women. Monthly ABS unemployment rates may be a useful metric for predicting demand for emergency mental health services.

A comparison between phone-based psychotherapy with and without text messaging support in between sessions for crisis patients.

BACKGROUND: Few studies have tested whether individually tailored text messaging interventions have an effect on clinical outcomes when used to supplement traditional psychotherapy. This is despite the potential to improve outcomes through symptom monitoring, prompts for between-session activities, and psychoeducation. OBJECTIVE: The intent of the study was to explore the use of individually tailored between-session text messaging, or short message service (SMS), as an adjunct to telephone-based psychotherapy for consumers who present to the Emergency Department (ED) in situational and/or emotional crises. METHODS: Over a 4-month period, two therapists offered 68 prospective consumers of a telephone-based psychotherapy service individually tailored between-session text messaging alongside their telephone-based psychotherapy. Attendance and clinical outcomes (depression, anxiety, functional impairment) of those receiving messages were compared against a historical control group (n=157) who received telephone psychotherapy only. RESULTS: A total of 66% (45/68) of the consumers offered SMS accepted the intervention. A total of 432 messages were sent over the course of the trial, the majority involving some kind of psychoeducation or reminders to engage in therapy goals. There were no significant differences in clinical outcomes between consumers who received the SMS and those in the control group. There was a trend for participants in the intervention group to attend fewer sessions than those in the control group (mean 3.7, SD 1.9 vs mean 4.4, SD 2.3). CONCLUSIONS: Both groups showed significant improvement over time. Individually tailored SMS were not found to improve clinical outcomes in consumers receiving telephone-based psychotherapy, but the study was underpowered, given the effect sizes noted and the significance level chosen. Given the ease of implementation and positive feedback from therapists and clients, individually tailored text messages should be explored further in future trials with a focus on enhancing the clinical impact of the tailored text messages, and utilizing designs with additional power to test for between-group effects.

Evolving Adult ADHD Care: Preparatory Evaluation of a Prototype Digital Service Model Innovation for ADHD Care.

BACKGROUND: Given the prevalence of ADHD and the gaps in ADHD care in Australia, this study investigates the critical barriers and driving forces for innovation. It does so by conducting a preparatory evaluation of an ADHD prototype digital service innovation designed to help streamline ADHD care and empower individual self-management. METHODS: Semi-structured interviews with ADHD care consumers/participants and practitioners explored their experiences and provided feedback on a mobile self-monitoring app and related service innovations. Interview transcripts were double coded to explore thematic barriers and the enablers for better ADHD care. RESULTS: Fifteen interviews (9 consumers, 6 practitioners) revealed barriers to better ADHD care for consumers (ignorance and prejudice, trust, impatience) and for practitioners (complexity, sustainability). Enablers for consumers included validation/empowerment, privacy, and security frameworks, tailoring, and access. Practitioners highlighted the value of transparency, privacy and security frameworks, streamlined content, connected care between services, and the tailoring of broader metrics. CONCLUSIONS: A consumer-centred approach to digital health service innovation, featuring streamlined, private, and secure solutions with enhanced mobile tools proves instrumental in bridging gaps in ADHD care in Australia. These innovations should help to address the gaps in ADHD care in Australia. These innovations should encompass integrated care, targeted treatment outcome data, and additional lifestyle support, whilst recognising the tensions between customised functionalities and streamlined displays.

Enabling Health Information Recommendation Using Crowdsourced Refinement in Web-Based Health Information Applications: User-Centered Design Approach and EndoZone Informatics Case Study.

BACKGROUND: In the digital age, search engines and social media platforms are primary sources for health information, yet their commercial interests-focused algorithms often prioritize irrelevant content. Web-based health applications by reputable sources offer a solution to circumvent these biased algorithms. Despite this advantage, there remains a significant gap in research on the effective integration of content-ranking algorithms within these specialized health applications to ensure the delivery of personalized and relevant health information. OBJECTIVE: This study introduces a generic methodology designed to facilitate the development and implementation of health information recommendation features within web-based health applications. METHODS: We detail our proposed methodology, covering conceptual foundation and practical considerations through the stages of design, development, operation, review, and optimization in the software development life cycle. Using a case study, we demonstrate the practical application of the proposed methodology through the implementation of recommendation functionalities in the EndoZone platform, a platform dedicated to providing targeted health information on endometriosis. RESULTS: Application of the proposed methodology in the EndoZone platform led to the creation of a tailored health information recommendation system known as EndoZone Informatics. Feedback from EndoZone stakeholders as well as insights from the implementation process validate the methodology's utility in enabling advanced recommendation features in health information applications. Preliminary assessments indicate that the system successfully delivers personalized content, adeptly incorporates user feedback, and exhibits considerable flexibility in adjusting its recommendation logic. While certain project-specific design flaws were not caught in the initial stages, these issues were subsequently identified and rectified in the review and optimization stages. CONCLUSIONS: We propose a generic methodology to guide the design and implementation of health information recommendation functionality within web-based health information applications. By harnessing user characteristics and feedback for content ranking, this methodology enables the creation of personalized recommendations that align with individual user needs within trusted health applications. The successful application of our methodology in the development of EndoZone Informatics marks a significant progress toward personalized health information delivery at scale, tailored to the specific needs of users.