INCREASING EXTENDED CARE FACILITY RESIDENTS' ATTENDANCE AT RECREATIONAL ACTIVITIES WITH CONVENIENT LOCATIONS AND PERSONAL INVITATIONS1

Residents of extended care facilities generally exhibit a low level of attendance at recreational and therapeutic activities. Spatial arrangement of rooms, prompting, snacks, and small prizes have been suggested as factors that affect attendance. The present study examined the effects of an extensive system of prompts and the location of activity areas on the attendance of residents at a variety of activities. Twenty-six subjects were randomly selected from the ambulatory population of the facility. The first time each subject entered the activity room during the first 6 min of an activity session their name was recorded. Reliability measures were taken at 10 sessions, with a 95% mean agreement between observers. The variables examined were the amount of individualization of subjects (experimental group I: names announced versus experimental group 2: names not announced), room location (central or peripheral), use of names in announcements (activity only versus activity and group I names), and mode of announcement (PA system only versus PA system and in-person). A counter-balanced group design with repeated measures was used, with a randomly determined order of application of experimental treatments. An analysis of variance split plot 2.222 (Kirk, R. E. Experimental Design: Procedures for the Behavioral Science. Belmont, Ca.: Brooks-Cole, 1968.) of the level of subject attendance yielded significant main effects for room location, F(1, 24) = 5.47, p < 0.05, and type of announcement, F(1, 24) = 9.10, p < 0.01, and significant interactions for Individualization × Use of Names in Announcements, F(1, 24) = 5.57, p < 0.05, and Room Location × Mode of Announcement, F(1, 24) = 7.90, p < 0.01. The results indicate that using a centrally located room and announcement of resident names increases attendance at a variety of activities. The increased social and environmental interaction generated by activity attendance has potential therapeutic benefits for the residents involved. Furthermore, the kind of information reported here and by others should be taken into consideration by planners of a variety of group living facilities, ranging from nursing homes to residential treatment cottages.     

Who drops-out? Do measures of risk to self and to others predict unplanned endings in primary care counselling?

Aims: Unplanned endings, where clients unilaterally end therapy, are of concern for psychological therapy services generally as they raise questions about the appropriateness of the treatment and it's delivery for some clients. Limited available data indicates that those who drop-out often have more severe symptoms at entry, and have poorer clinical outcomes. This raises further questions about risk to self and others for those clients who leave therapy prematurely and how these clients might be identified and kept engaged. Method: This paper uses a large dataset of CORE data collected routinely in a primary care counselling service between 2000 and 2003. Logistic regression was utilised to consider different measures of risk and other client characteristics recorded at assessment to predict drop-out from the service. Results: These indicate that younger age, greater psychological distress at assessment, an addiction problem and greater risk to others, are associated with an unplanned ending. However, no reliable logistic regression model could be produced. This may be partly due to data quality issues or important characteristics not being available in the data. Implications for practice: The paper concludes that counsellors should actively seek to minimise unplanned endings, as amongst them may be represented the more distressed and risky clients referred to primary care counselling.     

Factors associated with the socioemotional development of preterm infants

Preterm birth is a risk factor for problems in interactions with others. We compared the difference in socioemotional development between hospital discharge and at six months of corrected age of infants born ≤32 weeks and assessed the impact of maternal and infantile factors on socioemotional development rate within a 6 month’s period. Mother-child dyads (n = 144) were assessed by the Mother-Baby Observation Protocol 0–6 months through a video microanalysis. Multivariate model was built. Neonatal, maternal and child factors were associated with interactive gaze, initiate contact, responsiveness, infantile vocalization, and thus contributed to the socioemocional development of preterm infants with their mothers.     

Performance of Mental Health Counselors in Integrated Primary and Behavioral Health Care

Integrated primary and behavioral health care (IPBH) is becoming a preferred mode of service delivery in the United States. Integrated care includes the participation of medical and mental health professionals, such as mental health counselors. The clinical outcomes of these professionals need to be studied to determine their effectiveness in such settings. We examined the performance of 10 mental health counselors on the clinical outcome of 1,747 clients treated in an IPBH center. Analyses using growth curve modeling and pre‐post test design revealed that mental health counselors were effective overall, but they differed in client dropout rates and efficiency in reducing clients' initial symptoms. We used the analyses to rank order counselors based on their effectiveness. Counselors who were the most effective varied in their efficiency but demonstrated the lowest client dropout rates. Implications for future research and counseling practice were discussed.     

Gender detransition: a case study

Within the last decade, there has been a sharp global rise in the number of young people identifying as transgender. More recently, there appears to be an increase in the numbers of young people detransitioning or returning to identifying with their natal sex after pursuing medical transition. A case is presented of a young woman who pursued a gender transition and returned to identifying as female after almost two years on testosterone. The author considers and critiques the affirmative model of care for gender dysphoric youth in light of this case.     

Beyond trigger warnings: Toward a trauma‐informed andragogy for the graduate theological classroom*

Although development of trauma‐informed pedagogy for elementary and secondary classrooms has developed significantly, a dearth of resources for trauma‐informed andragogy in graduate theological classrooms remains. Theological classrooms are a unique context in which many students and professors carry experiences of trauma with them. This article makes the case for the need for a trauma‐informed andragogical model for the graduate theological classroom by: discussing the pervasiveness of trauma; providing definitions of key terms that need to be understood for elaborating a trauma‐informed andragogy; recommending trauma‐informed principles for course design and class‐session planning based in safety, trust, choice, collaboration, and empowerment; and identifying a few next steps for cultivating trauma‐informed classrooms and institutions at the graduate level.     

Depression screening and treatment among uninsured populations in Primary Care

Uninsured populations have poor treatment engagement and are less likely to receive evidence-based interventions for depression. The objective of the current study was to retrospectively examine depression screening, diagnosis, and treatment patterns among uninsured patients in primary care. Study sample included all patients (N = 11,803) seen in nine community-based clinics. Key variables included depression screener and/or a depression diagnosis, anti-depressant initiation, behavioral health visits, and patient follow up measures. Treatment patterns from the subsample of patients diagnosed with depression were analyzed by collecting the number of behavioral health visits and antidepressant use six months (180 days) following the diagnosis. Utilization of the depression screening tool was high (67%, n = 7,935) and 24% (n = 2,789) of the patients had a diagnosis of depression, however, more than half of the patients with a depression diagnosis did not have a recorded treatment plan (n = 1,474). The odds of anti-depressant use and behavioral visits for Hispanic patients were significantly greater than for Non-Hispanic patients. Universal screening with brief measures in primary care is improving, however, guideline-concordant depression treatment remains elusive for uninsured populations.     

A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?

Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained after birth) are challenged to develop suitable care pathways for an individual client’s needs. Being able to predict psychosocial outcomes after ABI would enable clinicians and service providers to make advance decisions and better tailor care plans. Machine learning (ML, a predictive method from the field of artificial intelligence) is increasingly used for predicting ABI outcomes. This review aimed to examine the efficacy of using ML to make psychosocial predictions in ABI, evaluate the methodological quality of studies, and understand researchers’ rationale for their choice of ML algorithms. Nine studies were reviewed from five databases, predicting a range of psychosocial outcomes from stroke, traumatic brain injury, and concussion. Eleven types of ML were employed with a total of 75 ML models. Every model was evaluated as having high risk of bias, unable to provide adequate evidence for predictive performance due to poor methodological quality. Overall, there was limited rationale for the choice of ML algorithms and poor evaluation of the methodological limitations by study authors. Considerations for overcoming methodological shortcomings are discussed, along with suggestions for assessing the suitability of data and suitability of ML algorithms for different ABI research questions.