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The rehabilitation enhancing aging through connected health (REACH) study: study protocol for a quasi-experimental clinical trial

Overview of attention for article published in BMC Geriatrics, September 2017
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Title
The rehabilitation enhancing aging through connected health (REACH) study: study protocol for a quasi-experimental clinical trial
Published in
BMC Geriatrics, September 2017
DOI 10.1186/s12877-017-0618-x
Pubmed ID
Authors

Meng Ni, Lorna G. Brown, Danielle Lawler, Terry D. Ellis, Tamara Deangelis, Nancy K. Latham, Jennifer Perloff, Steve J. Atlas, Sanja Percac-Lima, Jonathan F. Bean

Abstract

Mobility limitations among older adults increase the risk for disability and healthcare utilization. Rehabilitative care is identified as the most efficacious treatment for maintaining physical function. However, there is insufficient evidence identifying a healthcare model that targets prevention of mobility decline among older adults. The objective of this study is to evaluate the preliminary effectiveness of a physical therapy program, augmented with mobile tele-health technology, on mobility function and healthcare utilization among older adults. This is a quasi-experimental 12-month clinical trial conducted within a metropolitan-based healthcare system in the northeastern United States. It is in parallel with an existing longitudinal cohort study evaluating mobility decline among community-dwelling older adult primary care patients over one year. Seventy-five older adults (≥ 65-95 years) are being recruited using identical inclusion/exclusion criteria to the cohort study. Three aims will be evaluated: the effect of our program on 1) physical function, 2) healthcare utilization, and 3) healthcare costs. Changes in patient-reported function over 1 year in those receiving the intervention (aim 1) will be compared to propensity score matched controls (N = 150) from the cohort study. For aims 2 and 3, propensity scores, derived from logistic regression model that includes demographic and diagnostic information available through claims and enrollment information, will be used to match treatment and control patients in a ratio of 1:2 or 1:3 from a Medicare Claims Registry derived from the same geographic region. The intervention consists of a one-year physical therapy program that is divided between a combination of outpatient and home visits (6-10 total visits) and is augmented on a computerized tablet using of a commercially available application to deliver a progressive home-based exercise program emphasizing lower-extremity function and a walking program. Incorporating mobile health into current healthcare models of rehabilitative care has the potential to decrease hospital visits and provide a longer duration of care. If the hypotheses are supported and demonstrate improved mobility and reduced healthcare utilization, this innovative care model would be applicable for optimizing the maintenance of functional independence among community-dwelling older adults. ClinicalTrial.gov Identifier: NCT02580409 (Date of registration October 14, 2015).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Researcher 18 14%
Student > Doctoral Student 13 10%
Student > Ph. D. Student 12 9%
Student > Bachelor 10 8%
Other 18 14%
Unknown 38 30%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Nursing and Health Professions 22 17%
Social Sciences 8 6%
Agricultural and Biological Sciences 5 4%
Sports and Recreations 4 3%
Other 17 13%
Unknown 50 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2017.
All research outputs
#9,466,071
of 11,850,001 outputs
Outputs from BMC Geriatrics
#970
of 1,124 outputs
Outputs of similar age
#198,886
of 271,775 outputs
Outputs of similar age from BMC Geriatrics
#46
of 57 outputs
Altmetric has tracked 11,850,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,124 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 271,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.