Evidence map›Paper›PMID 28534476›Full record

Trial reportMedical science monitor : international medical journal of experimental and clinical research2017

Effect of Short Message Service on Management of Pulmonary Tuberculosis Patients in Anhui Province, China: A Prospective, Randomized, Controlled Study.

Xue-Hui Fang, Shi-Yang Guan, Li Tang, Fang-Biao Tao, Zheng Zou, Ji-Xiang Wang, Xiao-Hong Kan, Quan-Zhi Wang, Zhi-Ping Zhang, Hong Cao and 2 more

Open access · hybridAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 13 pooled it
13.8field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 13 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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  8. eHealth in TB clinical management.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
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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

12 authors at 4 institutions in 1 country.

Xue-Hui FangAnhui Provincial TB Institute, Hefei, Anhui, China (mainland).
Shi-Yang GuanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China (mainland).
Li TangAnhui Provincial TB Institute, Hefei, Anhui, China (mainland).
Fang-Biao TaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China (mainland).
Zheng ZouAnhui Provincial TB Institute, Hefei, Anhui, China (mainland).
Ji-Xiang WangAnhui Provincial TB Institute, Hefei, Anhui, China (mainland).
Xiao-Hong KanAnhui Provincial TB Institute, Hefei, Anhui, China (mainland).
Quan-Zhi WangLu'an Center for Disease Control and Prevention, Lu'an, Anhui, China (mainland).
Zhi-Ping ZhangAnqing Center for Disease Control and Prevention, Anqing, Anhui, China (mainland).
Hong CaoHefei Center for Disease Control and Prevention, Hefei, Anhui, China (mainland).
Dong-Chun MaAnhui Provincial TB Institute, Hefei, Anhui, China (mainland).
Hai-Feng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China (mainland).
Anhui Provincial Hospital · CNAnhui Medical University · CNAnhui Provincial Center for Disease Control and Prevention · CNAnqing City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND To explore the significance of short message service (SMS) on the management of pulmonary tuberculosis (TB) patients in reinforcing the treatment adherence and health awareness, and provide scientific evidences for popularizing this model and formulating related polices and measures. MATERIAL AND METHODS Six counties (districts) were selected by stratified cluster sampling method, and randomly divided into control group and intervention group. Pulmonary TB patients eligible to the study criteria were included in the study. SMS management and regular education of core knowledge about pulmonary TB were carried out in SMS group patients. The conventional directly observed therapy (DOT) was carried out in control group. Data was collected by questionnaire method. RESULTS A total of 350 patients were included in the study, including 160 cases in the SMS group and 190 cases in the control group. There were 270 males (77.1%) and 80 females (22.9%). The treatment completion rate in SMS group (96.25%) was significantly higher than that in the control group (86.84%) (χ²=9.52, P=0.002). Both the interrupted treatment rate and the missed dose rate in the SMS group were significantly lower than those in the control group (χ²=10.41, P=0.001; χ²=28.54, P<0.001). After a period of treatment, the reexamination rate of SMS group patients was significantly higher than that in control group (except the reexamination rate after 5 months treatment). CONCLUSIONS The management of pulmonary TB patients by SMS can effectively reinforce the completed treatment rate of pulmonary TB patients and reduce their missed dose rate and interrupted treatment rate, and further enhance their reexamination awareness. Therefore, SMS on the management of patients may be a new promising therapeutic strategy for pulmonary TB.

Indexed as

Text MessagingAdultChinaFemaleHumansMaleMiddle AgedProspective StudiesTreatment Adherence and ComplianceTuberculosis, Pulmonary

Identifiers

PMID28534476
PMCPMC5450853
OpenAlexW2619760434

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.