Evidence map›Paper›PMID 27358647›Full record

ArticleAfrican health sciences2016

Cell phone-based health education messaging improves health literacy.

Runsen Zhuang, Yueying Xiang, Tieguang Han, Guo-An Yang, Yuan Zhang

Abstract read
In one paragraph

Article in African health sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Telehealth Technologies in Diabetes Self-management and Education.Journal of diabetes science and technology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Runsen ZhuangSchool of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510000, Guangdong, China; Shenzhen Health Education and Promotion Center, Shenzhen 518000, Guangdong, China.
Yueying XiangSchool of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510000, Guangdong, China; The 181st Hospital of Chinese People's Liberation Army and Affiliated Hospital of Southern Medical University, Guilin 541000, Guangxi, China.
Tieguang HanShenzhen Health Education and Promotion Center, Shenzhen 518000, Guangdong, China.
Guo-An YangShenzhen Health Education and Promotion Center, Shenzhen 518000, Guangdong, China.
Yuan ZhangShenzhen Health Education and Promotion Center, Shenzhen 518000, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ubiquity of cell phones, which allow for short message service (SMS), provides new and innovative opportunities for disease prevention and health education.

objectiveTo explore the use of cell phone-based health education SMS to improve the health literacy of community residents in China.

methodsA multi-stage random sampling method was used to select representative study communities and participants ≥ 18 years old. Intervention participants were sent health education SMSs once a week for 1 year and controls were sent conventional, basic health education measures. Health literacy levels of the residents before and after the intervention were evaluated between intervention and control groups.

resultsPublic health literacy scores increased 1.5 points, from 61.8 to 63.3, after SMS intervention for 1 year (P<0.01); the increase was greater for males than females (2.01 vs. 1.03; P<0.01) and for Shenzhen local residents than non-permanent residents (2.56 vs. 1.14; P<0.01). The frequency of high health literacy scores was greater for the intervention than control group (22.03% to 30.93% vs. 22.07% to 20.82%). With health literacy as a cost-effective index, the cost-effectiveness per intervention was 0.54.

conclusionSMS may be a useful tool for improving health literacy.

Indexed as

Cell PhoneText MessagingAdolescentAdultAgedChinaCost-Benefit AnalysisFemaleHealth EducationHealth LiteracyHumansMaleMiddle AgedRandom AllocationSocioeconomic FactorsYoung Adultcell phonecommunity residentsHealth literacyinterventionshort message service

Identifiers

PMID27358647
PMCPMC4915430

What OpenQuestion holds

Textmetadata
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.