Cited by 239Telemedicine and Telehealth ImplementationDiabetes Management and EducationMobile Health and mHealth Applications

Home telehealth for diabetes management: a systematic review and meta‐analysis

Polisena, J., Tran, K., Cimon, K., Hutton, B., McGill, S., Palmer, K.·2009·Diabetes, Obesity and Metabolism

Abstract

Aim: It is estimated that more than 180 million people worldwide have diabetes. Health‐care providers can remotely deliver health services to this patient population using information and communication technology, also known as home telehealth. Home telehealth may be classified into two subtypes: home telemonitoring (HTM) and telephone support (TS). The research objective was to systematically review the literature and perform meta‐analyses to assess the potential benefits of home telehealth compared with usual care (UC) for patients with diabetes. Methods: An electronic literature search was conducted to identify studies on home telehealth and patients with diabetes that were published between 1998 and 2008 using Medline, Medline In‐Process & Other Non‐Indexed Citations, BIOSIS Previews and EMBASE. Results: Twenty‐six studies (n = 5069 patients) on home telehealth for diabetes were selected. Twenty‐one studies evaluated HTM and 5 randomized controlled trials assessed TS. HTM had a positive effect on glycaemic control [as measured by lower glycated haemoglobin level] compared with UC (weighted mean difference =−0.21; 95% confidence interval −0.35 to −0.08), but the results were mixed for TS. Study results indicated that home telehealth helps to reduce the number of patients hospitalized, hospitalizations and bed days of care. Home telehealth was similar or favourable to UC across studies for quality‐of‐life and patient satisfaction outcomes. Conclusions: In general, home telehealth had a positive impact on the use of numerous health services and glycaemic control. More studies of higher methodological quality are required to give more precise insights into the potential clinical effectiveness of home telehealth interventions.

Integrity signals

Registry

Crossref · 10.1111/j.1463-1326.2009.01057.x

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Polisena, J., Tran, K., Cimon, K., Hutton, B., McGill, S., & Palmer, K.
Affiliations
Canada's Drug Agency (CA)
Corresponding author
Polisena, J.
Venue
Diabetes, Obesity and Metabolism
Publisher
Wiley
Published
2009-09-11
Volume
11
Issue
10
Pages
913-930
ISSN
  • 1462-8902 (ISSN-L)
  • 1463-1326
OpenAlex
W2106144638
Cited by
239
References
45
Citations by year
2026: 5 · 2025: 7 · 2024: 5 · 2023: 14 · 2022: 12 · 2021: 11 · 2020: 14 · 2019: 13 · 2018: 12 · 2017: 12 · 2016: 24 · 2015: 18 · 2014: 25 · 2013: 23 · 2012: 16
FWCI
1.99
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Obesity and Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
home telehealth, diabetes management, home health monitoring, telephone support, glycemic control, HbA1c, hospitalization, quality of life, patient satisfaction, remote care, usual care comparison
MeSH terms
Diabetes Mellitus, Home Care Services, Humans, Quality of Life, Patient Satisfaction, Outcome Assessment, Health Care, Telemedicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review