Evidence map›Paper›PMID 28571575›Full record

ArticleInfectious diseases of poverty2017

Active case-finding for tuberculosis by mobile teams in Myanmar: yield and treatment outcomes.

Ohnmar Myint, Saw Saw, Petros Isaakidis, Mohammed Khogali, Anthony Reid, Nguyen Binh Hoa, Thi Thi Kyaw, Ko Ko Zaw, Tin Mi Mi Khaing, Si Thu Aung

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

10 authors at 3 institutions in 3 countries.

Ohnmar MyintNational Tuberculosis Programme, Corner of Mingyi Road and Minglar Street, Pathein township, Ayeyarwaddy Region, Myanmar. ohnmarmyint.dr@gmail.com.
Saw SawDepartment of Medical Research, Yangon, Myanmar.
Petros IsaakidisMédecins sans Frontières, Operational Research Unit, Luxembourg, Luxembourg.
Mohammed KhogaliMédecins sans Frontières, Operational Research Unit, Luxembourg, Luxembourg.
Anthony ReidMédecins sans Frontières, Operational Research Unit, Luxembourg, Luxembourg.
Nguyen Binh HoaNational Tuberculosis Programme, Hanoi, Vietnam.
Thi Thi KyawTB Unit, WHO Country Office for Myanmar, Yangon, Myanmar.
Ko Ko ZawDepartment of Medical Research, Yangon, Myanmar.
Tin Mi Mi KhaingNational Tuberculosis Programme, Corner of Mingyi Road and Minglar Street, Pathein township, Ayeyarwaddy Region, Myanmar.
Si Thu AungNational Tuberculosis Programme, Corner of Mingyi Road and Minglar Street, Pathein township, Ayeyarwaddy Region, Myanmar.
Médecins Sans Frontières · LUMyanmar Oxford Clinical Research Unit · MMInternational Union Against Tuberculosis and Lung Disease · FR

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundSince 2005, the Myanmar National Tuberculosis Programme (NTP) has been implementing active case finding (ACF) activities involving mobile teams in hard-to-reach areas. This study revealed the contribution of mobile team activities to total tuberculosis (TB) case detection, characteristics of TB patients detected by mobile teams and their treatment outcomes.

methodsThis was a descriptive study using routine programme data between October 2014 and December 2014. Mobile team activities were a one-stop service and included portable digital chest radiography (CXR) and microscopy of two sputum samples. The algorithm of the case detection included screening patients by symptoms, then by CXR followed by sputum microscopy for confirmation. Diagnosed patients were started on treatment and followed until a final outcome was ascertained.

resultsA total of 9 349 people with symptoms suggestive of TB were screened by CXR, with an uptake of 96.6%. Of those who were meant to undergo sputum smear microscopy, 51.4% had sputum examinations. Finally, 504 TB patients were identified by the mobile teams and the overall contribution to total TB case detection in the respective townships was 25.3%. Among total cases examined by microscopy, 6.4% were sputum smear positive TB. Treatment success rate was high as 91.8% in study townships compared to national rate 85% (2014 cohort).

conclusionsThis study confirmed the feasibility and acceptability of ACF by mobile teams in hard-to-reach contexts, especially when equipped with portable, digital CXR machines that provided immediate results. However, the follow-up process of sputum examination created a significant barrier to confirmation of the diagnosis. In order to optimize the ACF through mobile team activity, future ACF activities were needed to be strengthened one stop service including molecular diagnostics or provision of sputum cups to all presumptive TB cases prior to CXR and testing if CXR suggestive of TB.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMass ScreeningMiddle AgedMyanmarRadiography, ThoracicSputumActive case findingChest X-rayMobile teamTreatment outcomes

Identifiers

PMID28571575
PMCPMC5455111
OpenAlexW2601258169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.