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Background/aim Engagement in desired occupations can promote health and wellbeing in older adults. Assessments of engagement often measure frequency, amount or importance of specific activities. This study aimed to develop a scale to measure older adults' evaluation of the extent to which their everyday activities are contributing to their health and wellness. Methods Eighteen items, each scored with a seven-point rating scale, were initially developed by content experts, covering perceptions of how daily activities contribute to physical and mental health, as well as satisfaction and activity participation in the last six months. Rasch analysis methods were used to refine the scale using the pencil and paper responses of 460 community-living older adults. Results Initial Rasch analysis indicated three unlabelled rating scale categories were seldom used, reducing measurement precision. Five items were conceptually different by misfit statistics and principal component analysis. Subsequently, those items were removed and the number of rating scale steps reduced to 4. The remaining 13-item, 4-step scale, termed the Activity Significance Personal Evaluation ( ASPEn), formed a unidimensional hierarchy with good fit statistics and targeting. Person separation reliability (2.7) and internal consistency (.91) indicated the tool is appropriate for individual person measurement. Relative validity indicated equivalence between Rasch measures and total raw scores. Conclusions ASPEn is a brief, easily administered assessment of older adults' perception of the contribution of everyday activities to personal health and wellness. ASPEn may facilitate occupational therapy practice by enabling clinicians to assess change in meaning of an older adult's activity over time. [ABSTRACT FROM AUTHOR]

Introduction: Currently in the Australian higher education sector, the productivity benefits of occupational therapy clinical education placements are a contested issue. This article will report results of a study that developed a methodology for documenting time use during placements and investigated the productivity changes associated with occupational therapy clinical education placements in Queensland, Australia. Supervisors' and students' time use during placements and how this changed for supervisors compared to pre- and post-placement is also presented. Methods: Using a cohort survey design, participants were students from two Queensland universities, and their supervisors employed by Queensland Health. Time use was recorded in 30 minute blocks according to particular categories. Results: There was a significant increase in supervisors' time spent in patient care activities (F = 94.0112,12.37 df, P < 0.001) between pre- and during placement (P < 0.001) and decrease between during and post-placement (P < 0.001). Supervisors' time spent in all non-patient care activities was also significant (F = 4.580 2,16 df, P = 0.027) increasing between pre- and during placement (P = 0.028). There was a significant decrease in supervisors' time spent in placement activities (F = 5.133 2,19.18 df, P = 0.016) from during to post-placement. Students spent more time than supervisors in patient care activities while on placement. Discussion: A novel method for reporting productivity and time-use changes during clinical education programs for occupational therapy has been applied. Supervisors spent considerable time in assessing and managing students and their clinical education role should be seen as core business in standard occupational therapy practice. This paper will contribute to future assessments of the economic impact of student placements for allied health disciplines. [ABSTRACT FROM AUTHOR]