The Sandwich Generation of Aging Parents With Dementia: An Occupation-Based Caregiver Program

Despite the high prevalence of caregiver burnout, caregivers’ needs are unrecognized because the focus is on caregiver quality of life, experience, or service utilization (Frankenstein & Jahn, 2020). This program aims to identify ways to provide specific support to promote caregiver ADL participation through the use of a web-based training and education program.https://soar.usa.edu/otdcapstonessummer2023/1008/thumbnail.jp

Predicting the financial wellbeing of autistic adults: Part I

Many autistic adults are likely to experience poor financial wellbeing and hardship due to unemployment and under-employment. Research in the general population demonstrates that subjective financial wellbeing—how people perceive their financial situation—influences quality of life. There is no research, however, examining the subjective financial wellbeing of autistic people. This study therefore aimed to (1) understand the subjective financial wellbeing of a sample of autistic adults living in Australia compared to a general Australian population sample and (2) identify the predictors of subjective financial wellbeing in this sample of autistic adults. To this end, 191 autistic adults aged 18–83 years (mean = 39.28, standard deviation = 11.74) completed an online survey about their economic status, financial wellbeing, financial behaviors, confidence in money management skills, and anxiety and depression symptoms. Almost half of our sample felt it was a struggle to make ends meet, whereas only one-third of the general Australian population felt this way. Similar to the general population, autistic people’s income and their financial behaviors (specifically, saving and not borrowing for everyday expenses) predicted their sense of financial wellbeing. Our findings have implications for both research and practice. Lay abstract: Researchers have found the way people feel about their financial situation is related to their quality of life. We know that many autistic people find it hard to find a job. And for those autistic people who have a job, they are often underpaid. Not having a job or being underpaid often means having low income. Having low income is likely to influence how autistic people feel about their financial situation. However, no research has looked at these issues for autistic people. This is the first study that helps us learn more about what autistic adults think about their financial situation. We looked at autistic people’s thoughts on this issue compared to people from the general Australian population. We also looked at what things might impact how autistic people feel about their financial situation—which might be how much money they earn, what they do with that money, and their mental health. Many autistic adults felt they were struggling with financial wellbeing and this was connected both to the level of their income and how they said they managed their money. Those who were able to save and not borrow for everyday expenses reported feeling a greater sense of financial wellbeing. Concrete changes might help to improve autistic people’s financial wellbeing. We need to investigate how we can help autistic people find and keep well-paying jobs. And we need to work out the best ways of equipping autistic people with the skills they need in financial matters

Autistic adults' experiences of financial wellbeing: Part II

Financial wellbeing is an important component of people’s overall wellbeing, reflecting the capacity to live a comfortable and fulfilling life. Yet virtually nothing is known about this topic for autistic people. This study addressed this gap using a two-phase sequential mixed-methods design. Here, we report on findings from the Phase 2 qualitative study. In this study, 21 autistic participants were purposively selected based on the status of their financial wellbeing, including 12 people with high, and 9 with low, financial wellbeing, and interviewed by an autistic researcher. We identified four themes through reflective thematic analysis. Having access to a stable income made an enormous difference to people’s financial wellbeing. Participants emphasised how their broader social supports, especially family support, shaped their financial wellbeing. Yet, planning financially was often challenging, especially for people who had insufficient money to meet their basic needs. Nevertheless, our participants reported a strong drive to stay in control and avoid unnecessary risk. Our findings revealed how much money matters in autistic people’s lives. Future research should investigate the ways in which autistic people could secure more reliable incomes and identify the most effective ways to support them to achieve financial resilience

A Review of Compensatory Strategies to Mitigate Bias

Experiences of bias and discrimination remain pernicious obstacles for many individuals. Both micro- and macro-level interventions are necessary to eliminate and/or mitigate these negative experiences. This review focuses on micro-level interventions, specifically, five types of compensatory strategies that targets can use to eliminate and/or mitigate the bias and discrimination they experience. In this manuscript, we synthesize the research on humor, avoidance, affiliation, enhancement, and social category label switching strategies; describe identities with which the strategies could be used; and highlight strengths and weaknesses of each of the strategies. Finally, we propose actionable directions for future research for each of the compensatory strategies

A typology of predictive risk factors for non-adherent medication-related behaviors among chronic non-cancer pain patients prescribed opioids: a cohort study

Background: There has been no previous prospective examination of the homogeneity of chronic non-cancer pain (CNCP) patients in risk factors for non-adherent opioid use

Agreement between definitions of pharmaceutical opioid use disorders and dependence in people taking opioids for chronic non-cancer pain (POINT): a cohort study

Background Classification of patients with pharmaceutical opioid use disorder and dependence varies depending on which definition is used. We compared how WHO\u27s ICD-10 and proposed ICD-11 and the American Psychiatric Association\u27s DSM-IV and DSM-5 classified individuals in a community-based sample of Australians with chronic non-cancer pain for which opioids have been prescribed. Methods We studied participants in the Pain and Opioid IN Treatment (POINT) cohort, a 2 year prospective cohort study of 1514 people prescribed pharmaceutical opioids for their chronic pain who were recruited in 2012–13 from community-based pharmacies across Australia. After giving patients the Composite International Diagnostic Interview about their opioid use, we assessed which patients would be categorised as having disorders of pharmaceutical opioid use by ICD-10, the draft ICD-11, DSM-IV, and DSM-5. We examined agreement between classification systems, and tested the unidimensionality of the syndrome with confirmatory factor analysis. Findings We included 1422 participants (median time of pain disorder 10 years [IQR 5–20]; median length of strong opioid prescription 4 years [IQR 1·5–10·0]; mean age 58 years). Similar proportions of individuals met lifetime criteria for dependence with DSM-IV (127; 8·9%), ICD-10 (121; 8·5%), and ICD-11 (141; 9·9%). Criteria in DSM-5 classified 127 (8·9%) participants with moderate or severe use disorder. There was excellent agreement between ICD-10, ICD-11 and DSM-IV dependence (κ\u3e0·90). However, there was only fair to moderate agreement between ICD-10 and DSM-IV dependence diagnoses, and DSM-5 use disorder (mild, moderate, or severe). There was only good agreement between moderate to severe use disorder in DSM-5 and the other definitions. Criteria for all definitions loaded well on a single factor; the best model fit was for the definition for dependence in the draft ICD-11, the worst was in DSM-5. Interpretation Classification of problematic pharmaceutical opioid use varies across editions of ICD and DSM. The much lower levels of agreement between DSM-5 and other definitions than between other definitions might be attributed to DSM-5 containing an increased number of criteria and treating dependence and problematic use as a continuum. The more parsimonious ICD-11 dependence definition showed excellent model fit and excellent agreement with previous classificatory systems

“Peas in a pod”: Oral History Reflections on Autistic Identity in Family and Community by Late-Diagnosed Adults

In this paper, we report on a participatory oral history study documenting the lives of late-diagnosed autistic adults in Australia. We interviewed 26 autistic adults about their life history and the impact of late diagnosis. All were diagnosed after the age of 35, growing up in an era when autism was not well known. Using reflexive thematic analysis, we uncovered a rich body of reflections on shared Autistic identity and identified three major themes within that data set: 'conceptualising the Autistic family', 'creating Autistic community', and 'contesting Autistic identity'. Overall, the study provides insights into the active creation of shared Autistic identity and the importance of Autistic community to these late-diagnosed autistic adults

Attitudes toward e-mental health services in a community sample of adults: online survey

Background: Despite 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. Objective: This 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. Methods: A 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. Results: Most 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. Conclusions: Despite 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 familiarity) may be important for increasing the likelihood that they will return to such programs later

A New Human NHERF1 Mutation Decreases Renal Phosphate Transporter NPT2a Expression by a PTH-Independent Mechanism

Background: The sodium-hydrogen exchanger regulatory factor 1 (NHERF1) binds to the main renal phosphate transporter NPT2a and to the parathyroid hormone (PTH) receptor. We have recently identified mutations in NHERF1 that decrease renal phosphate reabsorption by increasing PTH-induced cAMP production in the renal proximal tubule. Methods: We compared relevant parameters of phosphate homeostasis in a patient with a previously undescribed mutation in NHERF1 and in control subjects. We expressed the mutant NHERF1 protein in Xenopus Oocytes and in cultured cells to study its effects on phosphate transport and PTH-induced cAMP production. Results: We identified in a patient with inappropriate renal phosphate reabsorption a previously unidentified mutation (E68A) located in the PDZ1 domain of NHERF1.We report the consequences of this mutation on NHERF1 function. E68A mutation did not modify cAMP production in the patient. PTH-induced cAMP synthesis and PKC activity were not altered by E68A mutation in renal cells in culture. In contrast to wild-type NHERF1, expression of the E68A mutant in Xenopus oocytes and in human cells failed to increase phosphate transport. Pull down experiments showed that E68A mutant did not interact with NPT2a, which robustly interacted with wild type NHERF1 and previously identified mutants. Biotinylation studies revealed that E68A mutant was unable to increase cell surface expression of NPT2a. Conclusions: Our results indicate that the PDZ1 domain is critical for NHERF1- NPT2a interaction in humans and for th