Evidence map›Paper›PMID 27171016›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2016

Characteristics of Chinese m-Health Applications for Diabetes Self-Management.

Lisa Nie, Bo Xie, Yan Yang, Yan Min Shan

Abstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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.

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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Health information sources for different types of information used by Chinese patients with cancer and their family caregivers.Health expectations : an international journal of public participation in health care and health policy · 2017
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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

4 authors.

Lisa Nie1 School of Nursing, The University of Texas at Austin , Austin, Texas.
Bo Xie1 School of Nursing, The University of Texas at Austin , Austin, Texas.
Yan Yang3 Department of Endocrinology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital , Chengdu, Sichuan, China .
Yan Min Shan4 Department of Diabetes Education, 2nd Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, Zhejiang, China .

Funding

Pilot & Feasibility CoreP30NR015335 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI BROWN, SHARON A · 2014 to 2018
$2.3M
NINR NIH HHS P30 NR015335
6 · The paper itself

Abstract

purposeTo examine the features and types of health information provided in Chinese diabetes mobile applications (apps) for patients' self-management. MATERIALS AND

methodsThrough multiple rounds of screening, we identified a total of 95 relevant iOS (Apple, Cupertino, CA) and Android™ (Google, Mountain View, CA) apps and examined each app's features and health information types based on each app's description in the app stores. We used a 15-feature algorithm to evaluate the apps' abilities for supporting diabetic patients' self-management, based on U.S. national standards for diabetes self-management. We also adapted the health information wants framework to analyze the types of information that the apps provided for diabetic patients.

resultsDiabetes education was the most common feature, provided by 75% of the apps. Blood glucose checking was enabled by 65% of the apps. Diet management, insulin checking, and physical activity monitoring were enabled by 53%, 49%, and 44% of the apps, respectively. Only a small percentage of the apps enabled psychosocial support (29%) or tracking of blood pressure (14%), cholesterol (14%), or body mass index (11%). None of the apps provided all seven types of information posited by the health information wants framework. Only a small percentage of the apps provided information about psychosocial support (29%), healthcare providers (24%), or healthcare facilities (24%). Information about complementary and alternative medicine was the least likely type of information provided in the apps, with only 7% of the apps providing this type of information.

conclusionsOur findings have important implications for improving the quality of Chinese diabetes mobile apps to facilitate patients' self-management.

Indexed as

Blood Glucose Self-MonitoringChinaDiabetes MellitusDietExerciseHumansInsulinMobile ApplicationsPatient Education as TopicSelf CareSocial SupportInsuline-healthmobile healthtechnologytelehealth

Identifiers

PMID27171016
PMCPMC5824655

What OpenQuestion holds

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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.