Job Demands of Occupational Therapy Clinical Placements: A Descriptive Study Using the Practicum Demands Measure©

The purpose of this study was to group and analyze the Practicum Demands Measure© (PDM) data collected over 2 academic years and create a general profile of demands across practicum settings. The data will be used to guide faculty in the most suitable placement of students requiring accommodations for a disability. The study used a secondary analysis design to analyze the 538 participant PDM data collected over the 2017/2018 and 2018/2019 academic years. Most of the sampled students were in fieldwork Level I and worked in mental health settings. The students reported physical demands, such as lifting more than 5kg (65.7%), intermittent sitting (97.6%), and keyboarding (94.6%). They also reported physical environment characteristics, such as exposure to infectious disease (44.6%) and congested working areas (27.5%). Cognitive demands included instant recall (90%) and analytical and clinical reasoning (99.8%). Practicum demands in occupational therapy were similar across other health care profession student placements, such as nursing and physical therapy. Practicum demands need to be studied more extensively to optimize students’ opportunities for success for students requiring accommodations in varied clinical settings

Admission Factors That Predict Canadian Occupational Therapy Students\u27 Practicum Success

The evaluation and refinement of admission practices are pertinent topics for admissions committees. There has been limited research that explored the relationship between applicant admission scores and practicum performance. Our study suggests that practicum performance may demand different skills than achieving high academic standing prior to admission. Continued efforts to identify factors predictive of practicum performance will assist occupational therapy (OT) admissions committees to select the highest caliber applicants who will become future practitioners. This study explored which admission factors predicted competency-based fieldwork evaluation for occupational therapists (CBFE-OT) scores for students enrolled in a Canadian Master of Science in Occupational Therapy (MScOT) program. Using a quasi-experimental ex post facto design, 446 admitted MScOT applicants’ scored admission packages, which included their undergraduate grade point average (GPA), two personal statements, a resumé, and two confidential assessment forms (i.e., letters of reference), were analyzed and then correlated with midterm and final CBFE-OT scores across four practicum placements. Confidential assessment forms were also used for separate correlational analyses. Linear regression analyses were completed for significant correlations. Admission package scores were positively correlated with CBFE-OT scores for the final evaluations of students in physical health settings for their fourth practicum placements (p \u3c .05). Alternatively, GPAs were negatively correlated with CBFE-OT scores (p\u3c .05). Admissions practices need to be refined to include salient factors that predict practicum success

Student Engagement in Peer Dialogue About Diversity and Inclusion

Student engagement in peer dialogue is a key aspect of a transformative learning process. However, the dynamics of peer dialogue become more complex when applied to concepts of diversity and inclusion, due to increased risk of student vulnerability and exclusion. This study examined how curricular content and contextual features in educational settings facilitate peer dialogue by analyzing the learning narratives of eleven occupational therapy graduate students. Considered within a transformative approach to learning, findings suggest the need to consider how students experience and name diversity. Critical questions are raised about the value of and potential caveats about exposing students to first person accounts, as well as pedagogical strategies aimed at creating respectful learning classroom spaces that acknowledge the many intersecting social identities that students bring. Insights from this study informed the development of the linked concept of critical intersectional peer dialogue (CIPD)

Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation

A total of 16 global chemistry transport models and general circulation models have participated in this study; 14 models have been evaluated with regard to their ability to reproduce the near-surface observed number concentration of aerosol particles and cloud condensation nuclei (CCN), as well as derived cloud droplet number concentration (CDNC). Model results for the period 2011-2015 are compared with aerosol measurements (aerosol particle number, CCN and aerosol particle composition in the submicron fraction) from nine surface stations located in Europe and Japan. The evaluation focuses on the ability of models to simulate the average across time state in diverse environments and on the seasonal and short-term variability in the aerosol properties. There is no single model that systematically performs best across all environments represented by the observations. Models tend to underestimate the observed aerosol particle and CCN number concentrations, with average normalized mean bias (NMB) of all models and for all stations, where data are available, of -24 % and -35 % for particles with dry diameters > 50 and > 120 nm, as well as -36 % and -34 % for CCN at supersaturations of 0.2 % and 1.0 %, respectively. However, they seem to behave differently for particles activating at very low supersaturations (<0.1 %) than at higher ones. A total of 15 models have been used to produce ensemble annual median distributions of relevant parameters. The model diversity (defined as the ratio of standard deviation to mean) is up to about 3 for simulated N-3 (number concentration of particles with dry diameters larger than 3 nm) and up to about 1 for simulated CCN in the extra-polar regions. A global mean reduction of a factor of about 2 is found in the model diversity for CCN at a supersaturation of 0.2 % (CCN0.2) compared to that for N-3, maximizing over regions where new particle formation is important. An additional model has been used to investigate potential causes of model diversity in CCN and bias compared to the observations by performing a perturbed parameter ensemble (PPE) accounting for uncertainties in 26 aerosol-related model input parameters. This PPE suggests that biogenic secondary organic aerosol formation and the hygroscopic properties of the organic material are likely to be the major sources of CCN uncertainty in summer, with dry deposition and cloud processing being dominant in winter. Models capture the relative amplitude of the seasonal variability of the aerosol particle number concentration for all studied particle sizes with available observations (dry diameters larger than 50, 80 and 120 nm). The short-term persistence time (on the order of a few days) of CCN concentrations, which is a measure of aerosol dynamic behavior in the models, is underestimated on average by the models by 40 % during winter and 20 % in summer. In contrast to the large spread in simulated aerosol particle and CCN number concentrations, the CDNC derived from simulated CCN spectra is less diverse and in better agreement with CDNC estimates consistently derived from the observations (average NMB -13 % and -22 % for updraft velocities 0.3 and 0.6 m s(-1), respectively). In addition, simulated CDNC is in slightly better agreement with observationally derived values at lower than at higher updraft velocities (index of agreement 0.64 vs. 0.65). The reduced spread of CDNC compared to that of CCN is attributed to the sublinear response of CDNC to aerosol particle number variations and the negative correlation between the sensitivities of CDNC to aerosol particle number concentration (partial derivative N-d/partial derivative N-a) and to updraft velocity (partial derivative N-d/partial derivative w). Overall, we find that while CCN is controlled by both aerosol particle number and composition, CDNC is sensitive to CCN at low and moderate CCN concentrations and to the updraft velocity when CCN levels are high. Discrepancies are found in sensitivities partial derivative N-d/partial derivative N-a and partial derivative N-d/partial derivative w; models may be predisposed to be too "aerosol sensitive" or "aerosol insensitive" in aerosol-cloud-climate interaction studies, even if they may capture average droplet numbers well. This is a subtle but profound finding that only the sensitivities can clearly reveal and may explain intermodel biases on the aerosol indirect effect.Peer reviewe

Evaluation of Global Simulations of Aerosol Particle and Cloud Condensation Nuclei Number, with Implications for Cloud Droplet Formation

A total of 16 global chemistry transport models and general circulation models have participated in this study; 14 models have been evaluated with regard to their ability to reproduce the near-surface observed number concentration of aerosol particles and cloud condensation nuclei (CCN), as well as derived cloud droplet number concentration (CDNC). Model results for the period 2011-2015 are compared with aerosol measurements (aerosol particle number, CCN and aerosol particle composition in the submicron fraction) from nine surface stations located in Europe and Japan. The evaluation focuses on the ability of models to simulate the average across time state in diverse environments and on the seasonal and short-term variability in the aerosol properties. There is no single model that systematically performs best across all environments represented by the observations. Models tend to underestimate the observed aerosol particle and CCN number concentrations, with average normalized mean bias (NMB) of all models and for all stations, where data are available, of -24% and -35% for particles with dry diameters > 50 and > 120nm, as well as -36% and -34% for CCN at supersaturations of 0.2% and 1.0%, respectively. However, they seem to behave differently for particles activating at very low supersaturations (< 0.1%) than at higher ones. A total of 15 models have been used to produce ensemble annual median distributions of relevant parameters. The model diversity (defined as the ratio of standard deviation to mean) is up to about 3 for simulated N3 (number concentration of particles with dry diameters larger than 3 nm) and up to about 1 for simulated CCN in the extra-polar regions. A global mean reduction of a factor of about 2 is found in the model diversity for CCN at a supersaturation of 0.2% (CCN(0.2)) compared to that for N3, maximizing over regions where new particle formation is important. An additional model has been used to investigate potential causes of model diversity in CCN and bias compared to the observations by performing a perturbed parameter ensemble (PPE) accounting for uncertainties in 26 aerosol-related model input parameters. This PPE suggests that biogenic secondary organic aerosol formation and the hygroscopic properties of the organic material are likely to be the major sources of CCN uncertainty in summer, with dry deposition and cloud processing being dominant in winter. Models capture the relative amplitude of the seasonal variability of the aerosol particle number concentration for all studied particle sizes with available observations (dry diameters larger than 50, 80 and 120nm). The short-term persistence time (on the order of a few days) of CCN concentrations, which is a measure of aerosol dynamic behavior in the models, is underestimated on average by the models by 40% during winter and 20% in summer

Impact of eating disorders on paid or unpaid work participation and performance: a systematic review and meta-analysis protocol

Abstract Background Eating disorders (ED) can reduce quality of life by limiting participation and performance in social and occupational roles, including paid or unpaid work. The association between ED pathologies and work participation and performance must be well understood to strengthen vocational rehabilitation programmes and prevent occupational disruptions in the ED population. The aims of this study are: (1) to examine the degree of association between ED pathologies and work participation and performance in 15-year-olds and older; (2) to highlight the specific ED symptoms that are most correlated with changes in work performance and participation; (3) to compile the most common metrics and assessments used to measure work participation and performance with ED. Methods Medline, Embase, CINAHL, Web of Science, PsycINFO, and Cochrane Library will be searched for observational and experimental studies that meet the following criteria: (1) a clinical sample of typical or atypical ED; (2) paid or unpaid employment or training; (3) an association between ED pathologies and work participation or performance. Unpublished data will also be examined. Title and abstract, and full-text screening will be conducted in duplicate. Risk of bias and quality of evidence assessments will be completed. A random-effect meta-analysis will be performed. Discussion This synthesis can clarify knowledge and gaps around the impact of ED on work functioning, thereby allowing better evaluation, improvements and development of current workplace assessments, interventions, and policies. Trial registration The registration number for this systematic review on PROSPERO is CRD42021255055