scholarly journals Life-Space Predicts Health Care Utilization in Community-Dwelling Older Adults

2017 ◽  
Vol 31 (2) ◽  
pp. 280-292 ◽  
Author(s):  
Richard E. Kennedy ◽  
Courtney P. Williams ◽  
Patricia Sawyer ◽  
Alexander X. Lo ◽  
Kay Connelly ◽  
...  

Objective: To determine whether decline in life-space mobility predicts increased health care utilization among community-dwelling older adults. Method: Health care utilization (number of emergency department [ED] visits and hospitalizations) was self-reported during monthly interviews among 419 community-dwelling African American and non-Hispanic White adults aged 75 years and older in The University of Alabama at Birmingham (UAB) Study of Aging II. Life-space was measured using the UAB Life-Space Assessment. Generalized estimating equations were used to examine associations of life-space at the beginning of each interval with health care utilization over the 1-month interval. Results: Overall, 400 participants were followed for 36 months. A 10-point decrease in life-space was associated with 14% increased odds of an ED visit and/or hospitalization over the next month, adjusting for demographics, transportation difficulty, comorbidity, and having a doctor visit in the last month. Discussion: Life-space is a practical alternative in predicting future health care utilization to performance-based measures, which can be difficult to incorporate into clinical or public health practice.

2020 ◽  
Vol 3 (12) ◽  
pp. e2030090 ◽  
Author(s):  
Elizabeth A. Jacobs ◽  
Rebecca Schwei ◽  
Scott Hetzel ◽  
Jane Mahoney ◽  
Katherine Sebastian ◽  
...  

2006 ◽  
Vol 14 (4) ◽  
pp. 392-410 ◽  
Author(s):  
Michelle Y. Martin ◽  
M. Paige Powell ◽  
Claire Peel ◽  
Sha Zhu ◽  
Richard Allman

This study examined whether leisure-time physical activity (LTPA) was associated with health-care utilization in a racially diverse sample of rural and urban older adults. Community-dwelling adults (N= 1,000, 75.32 ± 6.72 years old) self-reported participating in LTPA and their use of the health-care system (physician visits, number and length of hospitalizations, and emergency-room visits). After controlling for variables associated with health and health-care utilization, older adults who reported lower levels of LTPA also reported a greater number of nights in the hospital in the preceding year. There was no support, however, for a relationship between LTPA and the other indicators of health-care utilization. Our findings suggest that being physically active might translate to a quicker recovery for older adults who are hospitalized. Being physically active might not only have health benefits for older persons but also lead to lower health-care costs.


2015 ◽  
Vol 70 (11) ◽  
pp. 1442-1447 ◽  
Author(s):  
Alexander X. Lo ◽  
Kellie L. Flood ◽  
Richard E. Kennedy ◽  
Vera Bittner ◽  
Patricia Sawyer ◽  
...  

2012 ◽  
Vol 15 (6) ◽  
pp. 325-330 ◽  
Author(s):  
Patricia L. Harrison ◽  
James E. Pope ◽  
Carter R. Coberley ◽  
Elizabeth Y. Rula

2019 ◽  
Vol 37 (1) ◽  
pp. 81-90
Author(s):  
Daniel I Rhon ◽  
Trevor A Lentz ◽  
Steven Z George

Abstract Background Self-report information about pain and pain beliefs are often collected during initial consultation for musculoskeletal pain. These data may provide utility beyond the initial encounter, helping provide further insight into prognosis and long-term interactions of the patient with the health system. Objective The aim of this study was to determine if pain catastrophizing and pain-related body symptoms can predict future health care utilization. Methods This was a longitudinal cohort study. Baseline data were collected after receiving initial care for a musculoskeletal disorder in a multidisciplinary clinic within a large military hospital. Subjects completed the Pain Catastrophizing Scale, a region-specific disability measure, numeric pain rating scale and a body symptom diagram. Health care utilization data for 1 year prior and after the visit were extracted from the Military Health System Data Repository. Multivariable regression models appropriate for skewed and count data were developed to predict (i) musculoskeletal-specific medical visits, (ii) 12-month opioid use, (iii) musculoskeletal-specific medical costs and (iv) total medical costs. We investigated whether a pain catastrophizing × body symptom diagram interaction improved prediction, and developed separate models for opioid-naïve individuals and those with a history of opioid use in an exploratory analysis. Results Pain catastrophizing but not body symptom diagram was a significant predictor of musculoskeletal visits, musculoskeletal costs and total medical costs. Exploratory analyses suggest these relationships are most robust for patients with a history of opioid use. Conclusions Pain catastrophizing can identify risk of high health care utilization and costs, even after controlling for common clinical variables. Addressing pain catastrophizing in the primary care setting may help to mitigate future health care utilization and costs, while improving clinical outcomes. These results provide direction for future validation studies in larger and more traditional primary care settings.


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