Evidence map›Paper›PMID 29862612›Full record

Observational studyTropical medicine & international health : TM & IH2018

Mobile phone interventions for tuberculosis should ensure access to mobile phones to enhance equity - a prospective, observational cohort study in Peruvian shantytowns.

Matthew J Saunders, Tom Wingfield, Marco A Tovar, Niamh Herlihy, Claudio Rocha, Karine Zevallos, Rosario Montoya, Eric Ramos, Sumona Datta, Carlton A Evans

Abstract readObservational Study
In one paragraph

Observational study in Tropical medicine & international health : TM & IH, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Trial
  2. Review
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  4. Article
  5. Article
  6. Article
  7. The impact of COVID-19 on TB: a review of the data.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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.

Matthew J SaundersInfectious Diseases & Immunity, Imperial College London, Wellcome Trust Imperial College Centre for Global Health Research, London, UK.
Tom WingfieldInnovation for Health and Development (IFHAD), Laboratory of Research and Development, Universidad Peruana Cayetano Heredia, Lima, Perú.
Marco A TovarInnovación Por la Salud Y Desarrollo (IPSYD), Asociación Benéfica PRISMA, Lima, Perú.
Niamh HerlihyInnovación Por la Salud Y Desarrollo (IPSYD), Asociación Benéfica PRISMA, Lima, Perú.
Claudio RochaInnovación Por la Salud Y Desarrollo (IPSYD), Asociación Benéfica PRISMA, Lima, Perú.
Karine ZevallosInnovación Por la Salud Y Desarrollo (IPSYD), Asociación Benéfica PRISMA, Lima, Perú.
Rosario MontoyaInnovación Por la Salud Y Desarrollo (IPSYD), Asociación Benéfica PRISMA, Lima, Perú.
Eric RamosInnovation for Health and Development (IFHAD), Laboratory of Research and Development, Universidad Peruana Cayetano Heredia, Lima, Perú.
Sumona DattaInfectious Diseases & Immunity, Imperial College London, Wellcome Trust Imperial College Centre for Global Health Research, London, UK.
Carlton A EvansInfectious Diseases & Immunity, Imperial College London, Wellcome Trust Imperial College Centre for Global Health Research, London, UK.

Funding

Department of HealthMedical Research Council MR/K007467/1Wellcome Trust 057434/Z/99/ZWellcome Trust 070005/Z/02/ZWellcome Trust 078340/Z/05/ZWellcome Trust 105788/Z/14/ZWellcome Trust 201251/Z/16/ZWellcome Trust 209075/Z/17/Z
6 · The paper itself

Abstract

objectivesMobile phone interventions have been advocated for tuberculosis care, but little is known about access of target populations to mobile phones. We studied mobile phone access among patients with tuberculosis, focusing on vulnerable patients and patients who later had adverse treatment outcomes.

methodsIn a prospective cohort study in Callao, Peru, we recruited and interviewed 2584 patients with tuberculosis between 2007 and 2013 and followed them until 2016 for adverse treatment outcomes using national treatment registers. Subsequently, we recruited a further 622 patients between 2016 and 2017. Data were analysed using logistic regression and by calculating relative risks (RR).

resultsBetween 2007 and 2013, the proportion of the general population of Peru without mobile phone access averaged 7.8% but for patients with tuberculosis was 18% (P < 0.001). Patients without access were more likely to hold a lower socioeconomic position, suffer from food insecurity and be older than 50 years (all P < 0.01). Compared to patients with mobile phone access, patients without access at recruitment were more likely to subsequently have incomplete treatment (20% vs. 13%, RR = 1.5; P = 0.001) or an adverse treatment outcome (29% vs. 23% RR = 1.3; P = 0.006). Between 2016 and 2017, the proportion of patients without access dropped to 8.9% overall, but remained the same (18%) as in 2012 among the poorest third.

conclusionAccess to mobile phones among patients with tuberculosis is insufficient, and rarest in patients who are poorer and later have adverse treatment outcomes. Thus, mobile phone interventions to improve tuberculosis care may be least accessed by the priority populations for whom they are intended. Such interventions should ensure access to mobile phones to enhance equity.

Indexed as

Cell PhoneCohort StudiesFemaleHealth Services AccessibilityHumansMalePeruPovertyProspective StudiesTelemedicineText MessagingTuberculosisehealthe-santéMhealthMobile Healthm-santésanté mobiletuberculosetuberculosis

Identifiers

PMID29862612
PMCPMC6174992

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.