Evidence map›Paper›PMID 32257081›Full record

ArticleJournal of public health in Africa2019

Mobile health to improve adherence to tuberculosis treatment in Khartoum state, Sudan.

Ahmed Osman Ahmed Ali, Martin H Prins

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 5 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

14 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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
    Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

2 authors.

Ahmed Osman Ahmed AliMinistry of Health, Saudi Arabia.
Martin H PrinsMaastricht University Medical Centre, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although tuberculosis is a treatable disease, the high frequency of treatment default remains a challenge. The use of mobile phones structurally in a TB program has the potential to lower the frequency of default. However, it's impact on treatment outcome in Sudan has not yet been evaluated. The aim is to evaluate the potential use of cell phones for lowering treatment default. We conducted a controlled intervention pilot study during the period from 1st of May 2017 to 31st of March 2018, in eight TB treatment units in Khartoum state, Sudan. Newly diagnosed patient with positive sputum smear on DOTS therapy were enrolled in intervention and control groups. SMS reminder were sent to the intervention group.Assessments were done at the beginning and at the end of the treatment. One hundred and forty-eight patients were enrolled, seventy-four patients in each group.The participants in the two groups were similar in demographic characteristics and behavioral and knowledge related factors about TB disease at baseline. The patients in the intervention group had a lower default rate (6.8%), higher documented cure rate (78.4%), better knowledge compared to control group. SMS reminder was useful and facilitated good interaction between patients and health personnel. Mobile texting seemed useful and was highly accepted by participants. Further evaluation of it's potential benefit was warranted.

Indexed as

adherencedefaultmobile healthnon-adherenceTuberculosis

Identifiers

PMID32257081
PMCPMC7118426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.