Evidence map›Paper›PMID 23537332›Full record

Trial reportBMC health services research2013

Impact of telemonitoring home care patients with heart failure or chronic lung disease from primary care on healthcare resource use (the TELBIL study randomised controlled trial).

Iñaki Martín-Lesende, Estibalitz Orruño, Amaia Bilbao, Itziar Vergara, M Carmen Cairo, Juan Carlos Bayón, Eva Reviriego, María Isabel Romo, Jesús Larrañaga, José Asua and 2 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02803489 (Evaluation of the Performance of an e-Health System Comprising Tele-monitoring / Tele-notification and Tele-coaching in Ambulatory Multi-morbid Adult Patients), which is not on this map. Cited by 39 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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.

NCT02803489 naterminatednot on this mapstarted 2016, after this paper: background citation

Evaluation of the Performance of an e-Health System Comprising Tele-monitoring / Tele-notification and Tele-coaching in Ambulatory Multi-morbid Adult Patients

TypeinterventionalSponsorAir Liquide Santé InternationalRan2016 to 2017Enrolled23ConditionsChronic DiseasesArmsmedical device intervention
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  3. Disease management interventions for heart failure.The Cochrane database of systematic reviews · 2019
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  5. Effectiveness of interventions for managing multiple high-burden chronic diseases in older adults: a systematic review and meta-analysis.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
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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

12 authors.

Iñaki Martín-LesendeBilbao Primary Care Health Region, Osakidetza - Basque Health Service, Bizkaia, Spain. INAKI.MARTINLESENDE@osakidetza.net
Estibalitz Orruño
Amaia Bilbao
Itziar Vergara
M Carmen Cairo
Juan Carlos Bayón
Eva Reviriego
María Isabel Romo
Jesús Larrañaga
José Asua
Roberto Abad
Elizabete Recalde

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing evidence that home telemonitoring can be advantageous in societies with increasing prevalence of chronic diseases.The main objective of this study is to evaluate the effect of a primary care-based telemonitoring intervention on the number and length of hospital admissions.

methodsA randomised controlled trial was carried out across 20 health centres in Bilbao (Basque Country, Spain) to assess the impact of home telemonitoring on in-home chronic patients compared with standard care. The study lasted for one year. Fifty-eight in-home patients, diagnosed with heart failure (HF) and/or chronic lung disease (CLD), aged 14 or above and with two or more hospital admissions in the previous year were recruited. The intervention consisted of daily patient self-measurements of respiratory-rate, heart-rate, blood pressure, oxygen saturation, weight, body temperature and the completion of a health status questionnaire using PDAs. Alerts were generated when pre-established thresholds were crossed. The control group (CG) received usual care. The primary outcome measure was the number of hospital admissions that occurred at 12 months post-randomisation. The impact of telemonitoring on the length of hospital stay, use of other healthcare resources and mortality was also explored.

resultsThe intervention group (IG) included 28 patients and the CG 30. Patient baseline characteristics were similar in both groups. Of the 21 intervention patients followed-up for a year, 12 had some admissions (57.1%), compared to 19 of 22 controls (86.4%), being the difference statistically significant (p = 0.033, RR 0.66; 95%CI 0.44 to 0.99). The mean hospital stay was overall 9 days (SD 4.3) in the IG versus 10.7 (SD 11.2) among controls, and for cause-specific admissions 9 (SD 4.5) vs. 11.2 (SD 11.8) days, both without statistical significance (p = 0.891 and 0.927, respectively). Four patients need to be telemonitored for a year to prevent one admission (NNT). There were more telephone contacts in the IG than in the CG (22.6 -SD 16.1- vs. 8.6 -SD 7.2-, p = 0.001), but fewer home nursing visits (15.3 -SD 11.6- vs. 25.4 -SD 26.3-, respectively), though the difference was not statistically significant (p = 0.3603).

conclusionsThis study shows that telemonitoring of in-home patients with HF and/or CLD notably increases the percentage of patients with no hospital admissions and indicates a trend to reduce total and cause-specific hospitalisations and hospital stay. Home telemonitoring can constitute a beneficial alternative mode of healthcare provision for medically unstable elderly patients.

trial registrationCurrent Controlled Trials ISRCTN89041993.

Indexed as

Home Care ServicesPrimary Health CareTelemetryDisease ProgressionHeart FailureHumansMalePulmonary Disease, Chronic ObstructiveTreatment Failure

Identifiers

PMID23537332
PMCPMC3636109

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Registered trials

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.