Evidence map›Paper›PMID 23525664›Full record

ArticleInternational journal of general medicine2013

Effects of home telemonitoring on transitions between frailty states and death for older adults: a randomized controlled trial.

Benjavan Upatising, Gregory J Hanson, Young L Kim, Stephen S Cha, Yuehwern Yih, Paul Y Takahashi

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 8 pooled it
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 8 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  10. Cost comparison between home telemonitoring and usual care of older adults: a randomized trial (Tele-ERA).Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Benjavan UpatisingSchool of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Gregory J Hanson
Young L Kim
Stephen S Cha
Yuehwern Yih
Paul Y Takahashi
Purdue University West Lafayette · USMayo Clinic · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwo primary objectives when caring for older adults are to slow the decline to a worsened frailty state and to prevent disability. Telemedicine may be one method of improving care in this population. We conducted a secondary analysis of the Tele-ERA study to evaluate the effect of home telemonitoring in reducing the rate of deterioration into a frailty state and death in older adults with comorbid health problems.

methodsThis trial involved 205 adults over the age of 60 years with a high risk of hospitalization and emergency department visits. For 12 months, the intervention group received usual medical care and telemonitoring case management, and the control group received usual care alone. The primary outcome was frailty, which was based on five criteria, ie, weight loss, weakness, exhaustion, low activity, and slow gait speed. Participants were classified as frail if they met three or more criteria; prefrail if they met 1-2 criteria; and not frail if they met no criteria. Both groups were assessed for frailty at baseline, and at 6 and 12 months. Frailty transition analyses were performed using a multiple logistic regression method. Kaplan-Meier and Cox proportional hazards methods were used to evaluate each frailty criteria for mortality and to compute unadjusted hazard ratios associated with being telemonitored, respectively. A retrospective power analysis was computed.

resultsDuring the first 6 months, 19 (25%) telemonitoring participants declined in frailty status or died, compared with 17 (19%) in usual care (odds ratio 1.41, 95% confidence interval [CI] 0.65-3.06, P = 0.38). In the subsequent 6 months, there was no transition to a frailty state, but seven (7%) participants from the telemonitoring and one (1%) from usual care group died (odds ratio 5.94, 95% CI 0.52-68.48, P = 0.15). Gait speed (hazards ratio 3.49, 95% CI 1.42-8.58) and low activity (hazards ratio 3.10, 95% CI 1.25-7.71) were shown to predict mortality.

conclusionThis study did not provide sufficient evidence to show that the telemonitoring group did better than usual care in reducing the decline of frailty states and death. Transitions occurred primarily in the first 6 months.

Indexed as

frailty transitionfunctional declinehigh-risk elderly personstelemedicine

Identifiers

PMID23525664
PMCPMC3603330
OpenAlexW1971163661

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.