Evidence map›Paper›PMID 37808203›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2023

A comparative analysis of the profile and treatment outcomes of tuberculosis patients managed at the community and primary health care facilities in Botswana.

Sejie Gabalape Arnold, Mahomed Ozayr Haroon

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 3 countries.

Sejie Gabalape ArnoldDiscipline of Public Health Medicine, University of KwaZulu, Natal, Durban, South Africa.
Mahomed Ozayr HaroonDiscipline of Public Health Medicine, University of KwaZulu, Natal, Durban, South Africa.
Dasman Diabetes Institute · KWUniversity of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Successful treatment of Tuberculosis (TB) is necessary for mitigating and averting millions of deaths annually. This study compared the profiles and measured the association between patients, health system-related factors, and TB treatment outcomes of patients managed through the community tuberculosis care model with those managed in primary health care settings. Methods: A retrospective multicenter cross-sectional study was conducted in six districts in Botswana. Patient's records were reviewed using a data extraction sheet, and data not captured on registers were obtained using a structured questionnaire. Results: Three hundred and twenty-four TB patients were sampled. Most participants (84 %; n = 273) were receiving community-based DOT. Patients with moderate TB knowledge (OR 5.3,955 CI 1.01-27.7), good perception of TB care (OR 11, 95 % CI 1.29-94.0), were more likely to enroll for community DOT and achieve treatment cure. Those in businesses (OR 3.85 95 %CI 1.10-22.6), always had treatment available (OR 3.66, 95 % CI 1.12-11.4), never drank alcohol (OR 2.11, 95 %CI 1.06-4.19), used their vehicle (OR 2.11.95 %CI 0.99-4.48) were likely to enroll for community DOT. Conclusion: A patient-specific education program and continuous improvement practices to increase patient TB knowledge and satisfaction should be implemented at all levels to improve treatment outcomes.

Indexed as

Direct observation therapyPerception of serviceTreatment cure

Identifiers

PMID37808203
PMCPMC10550795
OpenAlexW4387056016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.