Evidence map›Paper›PMID 23723972›Full record

ArticlePloS one2013

Levels of tuberculosis treatment adherence among sputum smear positive pulmonary tuberculosis patients attending care at Zomba Central hospital, southern Malawi, 2007-2008.

Tobias Chirwa, Peter Nyasulu, Esnat Chirwa, Akeem Ketlogetswe, George Bello, Isiah Dambe, Dennis Ndalama, Martias Joshua

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Quality of life and associated factors among patients with tuberculosis at the University of Gondar comprehensive specialized hospital, Ethiopia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  6. Review
  7. Article
  8. Evaluation of serum inflammatory biomarkers as predictors of treatment outcome in pulmonary tuberculosis.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Observational
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

8 authors.

Tobias ChirwaDivision of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand (Wits), Johannesburg, South Africa. tobias.chirwa@wits.ac.za
Peter Nyasulu
Esnat Chirwa
Akeem Ketlogetswe
George Bello
Isiah Dambe
Dennis Ndalama
Martias Joshua

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite great efforts to control Tuberculosis (TB), progress is compromised by low adherence to medication, leading to prolonged duration of infectiousness and continued transmission. Investigating low adherence is of high importance from TB programmatic perspective. Though data on actual days of missed treatment exist, the effect of such on TB cure rates has not been investigated.

methodsTB operational research data were extracted for smear-positive pulmonary TB patients registered at Zomba Central hospital, Malawi from January 2007 to December 2008.

resultsOf the 524 patients, 302 (57.6%) were males and 340 (64.9%) fully adhered to treatment. Excluding 5 individuals with missing data on cure, four hundred and eighty-one (92.7%) were cured of TB, and of these 162 (33.7%) missed at least one day of treatment. Respectively, 49/64 (76.6%) and 71/76 (93.4%) of those who missed treatment in the intensive and continuation phases were cured of TB (p = 0.005). The adjusted logistic regression analysis showed that those who missed 15-29 days of treatment (OR = 0.04, 95% CI: 0.01, 0.14) were less likely to be cured of TB compared with those who fully adhered.

conclusionTreatment non-adherence was high and was observed even within the first 2 months of treatment. Thus, even at an earlier critical stage of treatment, simple algorithms need to be developed to identify and monitor patients at higher risk of non-adherence. Efforts on treatment compliance counselling should focus on enhanced counselling to improve adherence during the intensive treatment phase.

Indexed as

AdultDelivery of Health CareDemographyFemaleHumansLogistic ModelsMalawiMalePatient ComplianceSputumTreatment OutcomeTuberculosis, Pulmonary

Identifiers

PMID23723972
PMCPMC3665834

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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.