scholarly journals Occupational Therapy Interventions for Older Adults With Chronic Conditions and Their Care Partners

2021 ◽  
Vol 75 (6) ◽  
Author(s):  
Beth Fields
Keyword(s):  
Older Adults ◽  
Occupational Therapy ◽  
Chronic Conditions ◽  
Chronic Condition ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Care Partners ◽  
Therapy Services ◽  
Therapy Interventions ◽  
Occupational Therapy Interventions

Evidence Connection articles provide a clinical application of systematic reviews developed in conjunction with the American Occupational Therapy Association’s Evidence-Based Practice Project. In this Evidence Connection article, I describe a clinical case report of an older adult with a chronic condition and his daughter who received home health occupational therapy services. I discuss the occupational therapy evaluation and intervention processes with these clients to support chronic condition self-management, coping skills, and problem solving, drawing on findings from the systematic review on the effectiveness of interventions for care partners of people with chronic conditions published in the July/August 2021 issue of the American Journal of Occupational Therapy. It is my hope that this Evidence Connection article can be used to inform and guide clinical decision making when working with older adults with chronic conditions and their care partners.

Evidence for Occupational Therapy Interventions: Effectiveness Research Indexed in the OTseeker Database

2007 ◽  
Vol 70 (10) ◽  
pp. 426-430 ◽  
Author(s):  
Sally Bennett ◽  
Kryss McKenna ◽  
Annie McCluskey ◽  
Leigh Tooth ◽  
Tammy Hoffmann ◽  
...  
Keyword(s):  
Occupational Therapy ◽  
Systematic Reviews ◽  
Randomised Controlled Trials ◽  
Clinical Decision Making ◽  
Research Effort ◽  
Clinical Decision ◽  
Controlled Trials ◽  
Therapy Interventions ◽  
Randomised Controlled ◽  
Occupational Therapy Interventions

The aim of this study was to determine the overall quantity and quality of randomised controlled trials and the quantity of systematic reviews relevant to occupational therapy practice. The content of OTseeker ( www.otseeker.com ) was surveyed in June 2006. There were 3401 randomised controlled trials and 939 systematic reviews in OTseeker (total = 4340), published mostly in non-occupational therapy journals. The diagnostic areas of stroke (n = 458) and back or neck conditions/injuries (n = 391), and the intervention categories of exercise (n = 1262) and consumer education (n = 1098), were the most frequently listed. Although the quantity of evidence available about the effectiveness of occupational therapy interventions is rapidly increasing, some areas require greater research effort. Occupational therapists also need to search more broadly than occupational therapy journals for research to support clinical decision making.

scholarly journals Using Big Data for Clinical Decision Making

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 174-174
Author(s):  
Diana Woods ◽  
Maria Yefimova
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Chronic Conditions ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Sensor Data ◽  
Innovative Technology ◽  
Multiple Chronic Conditions ◽  
Daily Routine ◽  
Frail Older Adults

Abstract The current workforce is ill prepared for the rise in Americans 65 and older from 46.3 million in 2010 to 98.2 million by 2050, a national increase of 112.2 % accompanied by increasing chronic conditions. The increase in older Americans, the prevalence of those with dementia, accompanied by behavioral symptoms of dementia (BSD) is increasing. Innovative technology may alert health providers to early signs of decline in frail older adults with multiple chronic conditions. Remote monitoring in the home and community living spaces can address complex care needs for older adults. Monitoring may identify and predict deviations in a person’s daily routine that herald a change in a chronic condition. We present two examples that can potentially assist in clinical decision making. The first exemplar used 24/7 sensor data to identify changes, potentially clinically significant, such that early intervention may prevent hospitalizations; the second exemplar presents the use of pattern recognition software (THEME TM) for temporal pattern analysis, to identify and quantify behavior patterns with regard to intensity, frequency and complexity, such that interventions may be individually tailored and timed. Clinical researchers and technology developers need to collaborate early in the process to consider the sources and frequency of clinical measures for meaningful predictions. One major challenge lies in the interpretation of the vast amounts of within individual data. Our insights strive to improve future interdisciplinary development of monitoring systems to support aging in place and support clinical decisions for timely and effective care for frail older adults.

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