Evidence map›Paper›PMID 27608677›Full record

SynthesisBMC health services research2016

The use of e-health and m-health tools in health promotion and primary prevention among older adults: a systematic literature review.

Ramon Kampmeijer, Milena Pavlova, Marzena Tambor, Stanisława Golinowska, Wim Groot

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03834181 (Evaluation of a Telemedicine System for Patients Carried for Bariatric Surgery), which is not on this map. Cited by 161 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 16 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.

NCT03834181 nacompletednot on this mapstarted 2019, after this paper: background citation

Evaluation of a Telemedicine System for Patients Carried for Bariatric Surgery

TypeinterventionalSponsorIHU StrasbourgRan2019 to 2020Enrolled24ConditionsBariatric Surgery CandidateArmsMonitoring evaluation by connected devices: Wristband activity tracker "Garmin Vivosmart® 3", "Fora® Scale 550", "Terraillon® Tensioscreen", Pulse oximeter "Nonin® 3230", thermometer "Fora® IR20b"
3 · Its place in the literature

Who cites it

161 citing papers in PubMed, 16 syntheses or guidelines pooled it.

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101 more citing papers are in PubMed but not listed here.

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.

Ramon KampmeijerDepartment of Health Services Research, CAPHRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, PO Box 616, 6200, MD, Maastricht, The Netherlands.
Milena PavlovaDepartment of Health Services Research, CAPHRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, PO Box 616, 6200, MD, Maastricht, The Netherlands. m.pavlova@maastrichtuniversity.nl.
Marzena TamborFaculty of Health Sciences, Department of Health Economics and Social Security, Institute of Public Health, Jagiellonian University Collegium Medicum, ul. Grzegórzecka 20, 31-531, Krakow, Poland.
Stanisława GolinowskaFaculty of Health Sciences, Department of Health Economics and Social Security, Institute of Public Health, Jagiellonian University Collegium Medicum, ul. Grzegórzecka 20, 31-531, Krakow, Poland.
Wim GrootDepartment of Health Services Research, CAPHRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, PO Box 616, 6200, MD, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of e-health and m-health technologies in health promotion and primary prevention among older people is largely unexplored. This study provides a systematic review of the evidence on the scope of the use of e-health and m-health tools in health promotion and primary prevention among older adults (age 50+).

methodsA systematic literature review was conducted in October 2015. The search for relevant publications was done in the search engine PubMed. The key inclusion criteria were: e-health and m-health tools used, participants' age 50+ years, focus on health promotion and primary prevention, published in the past 10 years, in English, and full-paper can be obtained. The text of the publications was analyzed based on two themes: the characteristics of e-health and m-health tools and the determinants of the use of these tools by older adults. The quality of the studies reviewed was also assessed.

resultsThe initial search resulted in 656 publications. After we applied the inclusion and exclusion criteria, 45 publications were selected for the review. In the publications reviewed, various types of e-health/m-health tools were described, namely apps, websites, devices, video consults and webinars. Most of the publications (60 %) reported studies in the US. In 37 % of the publications, the study population was older adults in general, while the rest of the publications studied a specific group of older adults (e.g. women or those with overweight). The publications indicated various facilitators and barriers. The most commonly mentioned facilitator was the support for the use of the e-health/m-health tools that the older adults received.

conclusionsE-health and m-health tools are used by older adults in diverse health promotion programs, but also outside formal programs to monitor and improve their health. The latter is hardly studied. The successful use of e-health/m-health tools in health promotion programs for older adults greatly depends on the older adults' motivation and support that older adults receive when using e-health and m-health tools.

Indexed as

AgedGlobal HealthHealth PromotionHealthy LifestyleHumansInternetMobile ApplicationsMotivationPrimary PreventionTelemedicinee-healthHealth promotionm-healthOlder adultsPreventionTelemedicine

Identifiers

PMID27608677
PMCPMC5016733

What OpenQuestion holds

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LicenceCC BY
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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.