Evidence map›Paper›PMID 27843425›Full record

SynthesisPerspectives in health information managemen2016

Effect of Telehealth Interventions on Hospitalization Indicators: A Systematic Review.

Leila R Kalankesh, Faramarz Pourasghar, Lorraine Nicholson, Shamim Ahmadi, Mohsen Hosseini

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Perspectives in health information managemen, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Contacts in general practice during the COVID-19 pandemic: a register-based study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Article
  6. Article
  7. Telehealth in Primary Health Care: A Scoping Review of the Literature.Perspectives in health information managemen · 2022
    Article
  8. Article
  9. Article
  10. Regional Heterogeneity of Application and Effect of Telemedicine in the Primary Care Centres in Rural China.International journal of environmental research and public health · 2020
    Article
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

5 authors at 3 institutions in 2 countries.

Leila R KalankeshMedical informatics and health information technology in School of Management and Medical Informatics and researcher at Tabriz Health Services Management Research Center in Tabriz, Iran.
Faramarz PourasgharMedical informatics in School of Management and Medical Informatics at the Tabriz University of Medical Sciences in Tabriz, Iran.
Lorraine NicholsonIFHIMA (2007-2010), Independent HIM Consultant, Rochdale OL11 2XE, Lancashire, UK.
Shamim AhmadiHealth information technology at Iran University of Medical Sciences in Tehran, Iran.
Mohsen HosseiniHealth information technology at the School of Management and Medical Informatics at Tabriz University of Medical Sciences in Tabriz, Iran.
Tabriz University of Medical Sciences · IRIran University of Medical Sciences · IRRochdale Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelehealth has been defined as the remote delivery of healthcare services using information and communication technology. Where resource-limited health systems face challenges caused by the increasing burden of chronic diseases and an aging global population, telehealth has been advocated as a solution for changing and improving the paradigm of healthcare delivery to cope with these issues. The aim of this systematic review is to investigate the effect of telehealth interventions on two indicators: hospitalization rate and length of stay. MATERIALS AND

methodsThe reviewers searched the PubMed, ScienceDirect, and Springer electronic databases from January 2005 to November 2013. A search strategy was developed using a combination of the following search keywords:

resultsThis systematic review examined 22 existing studies with a total population of 19,086 patients. The effect of telehealth on all-cause hospitalization was statistically significant in 40 percent of the related studies, whereas it was not statistically significant in 60 percent. Similarly, the effect of telehealth on the all-cause length of stay was statistically significant in 36 percent of the studies and nonsignificant in 64 percent.

conclusionConsidering the fact that hospitalization rate and length of stay can be confounded by factors other than telehealth intervention, studies examining the effect of the intervention on these indicators must take into account all other factors influencing them. Otherwise any judgment on the effect of telehealth on these indicators cannot be valid.

Indexed as

TelemedicineDelivery of Health CareHospitalizationQuality Improvementhospital admissionimpactlength of staytelehealthtelemedicine

Identifiers

PMID27843425
PMCPMC5075236
OpenAlexW2554433736

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.