Evidence map›Paper›PMID 24323283›Full record

ArticleJournal of medical Internet research2013

Evaluating self-management behaviors of diabetic patients in a telehealthcare program: longitudinal study over 18 months.

Lichin Chen, Lee-Ming Chuang, Chia-Hsiun Chang, Chiou-Shiang Wang, I-Ching Wang, Yufang Chung, Hui-Yu Peng, Hui-Chuen Chen, Yu-Ling Hsu, Yu-Sheng Lin and 7 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Determining minimum set of features for diabetes mobile apps.Journal of diabetes and metabolic disorders · 2019
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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

17 authors.

Lichin ChenGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan. d98945012@ntu.edu.tw.
Lee-Ming Chuang
Chia-Hsiun Chang
Chiou-Shiang Wang
I-Ching Wang
Yufang Chung
Hui-Yu Peng
Hui-Chuen Chen
Yu-Ling Hsu
Yu-Sheng Lin
Huang-Jen Chen
Tieng-Chun Chang
Yi-Der Jiang
Hung-Chang Lee
Ching-Ting Tan
Hsin-Lu Chang
Feipei Lai

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-management is an important skill for patients with diabetes, and it involves frequent monitoring of glucose levels and behavior modification. Techniques to enhance the behavior changes of diabetic patients have been developed, such as diabetes self-management education and telehealthcare. Although the patients are engaged in self-management activities, barriers to behavior changes remain and additional work is necessary to address the impact of electronic media and telehealthcare on patient self-care behaviors.

objectiveThe aims of this study were to (1) explore the behaviors of diabetic patients interacting with online applications, (2) determine the impact of a telehealthcare program among 7 self-care behaviors of the patients, and (3) determine the changes in glycosylated hemoglobin (HbA1c) levels.

methodsA telehealthcare program was conducted to assist the patients with 7 self-care activities. The telehealthcare program lasted for 18 months and included the use of a third-generation mobile telecommunications glucometer, an online diabetes self-management system, and a teleconsultant service. We analyzed the data of 59 patients who participated in the telehealthcare program and 103 who did not. The behavioral assessments and the HbA1c data were collected and statistically analyzed to determine whether the telehealthcare services had an impact on the patients. We divided the 18-month period into 3 6-month intervals and analyzed the parameters of patients assisted by the telehealthcare service at different time points. We also compared the results of those who were assisted by the telehealthcare service with those who were not.

resultsThere was a significant difference in monitoring blood glucose between the beginning and the end of the patient participation (P=.046) and between the overall period and the end of patient participation (P<.001). Five behaviors were significantly different between the intervention and control patients: being active (P<.001), healthy eating (P<.001), taking medication (P<.001), healthy coping (P=.02), and problem solving (P<.001). Monitoring of blood glucose was significantly different (P=.02) during the 6-12 month stage of patient participation between the intervention and control patients. A significant difference between the beginning and the 6-12 month stage of patient participation was observed for the mean value of HbA1c level (P=.02), and the differences between the overall HbA1c variability and the variability of each 6-month interval was also significant.

conclusionsTelehealthcare had a positive effect on diabetic patients. This study had enhanced blood glucose monitoring, and the patients in the program showed improvements in glycemic control. The self-care behaviors affect patient outcomes, and the changes of behavior require time to show the effects.

Indexed as

Self CareAdultBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGlycated HemoglobinHealth BehaviorHospitals, UniversityHumansLongitudinal StudiesMaleMiddle AgedPatient Education as TopicPatient ParticipationPilot ProjectsGlycated Hemoglobinhemoglobin A1c protein, humandiabetes mellitusInternetonline systemspatient access to recordspersonal health recordself-caretelemedicine

Identifiers

PMID24323283
PMCPMC3869106

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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.