Evidence map›Paper›PMID 26231398›Full record

ArticleJournal of epidemiology and global health2015

Spatial and non-spatial determinants of successful tuberculosis treatment outcomes: An implication of Geographical Information Systems in health policy-making in a developing country.

Goodarz Kolifarhood, Davoud Khorasani-Zavareh, Shaker Salarilak, Alireza Shoghli, Nasim Khosravi

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Geospatial Overlap of Undernutrition and Tuberculosis in Ethiopia.International journal of environmental research and public health · 2023
    Article
  3. Exploring the criteria and factors affecting firefighters' resilience: A qualitative study.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2022
    Article
  4. Article
  5. A Spatial Analysis of Tuberculosis Related Mortality in South Africa.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. Road safety data collection systems in Iran: A comparison based on relevant organizations.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Tuberculosis in the colombian-venezuelan border: geospatial distribution.Revista peruana de medicina experimental y salud publica
    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

5 authors.

Goodarz KolifarhoodDepartment of Epidemiology and Biostatistics, School of Medicine, Zanjan University of Medical Sciences, Iran. Electronic address: Gfarhood@gmail.com.
Davoud Khorasani-ZavarehSocial Determinants of Health Research Center, Urmia University of Medical Sciences, Urmia, Iran; Department of Clinical Science and Education, Karolinska Institute, Stockholm, Södersjukhuset, Sweden. Electronic address: Davoud.khorasani@gmail.com.
Shaker SalarilakIslamic Azad University, Tabriz branch, Medical faculty, Tabriz, Iran. Electronic address: Salarilak@yahoo.com.
Alireza ShoghliDepartment of Social Medicine, School of Medicine, Zanjan University of Medical Sciences, Iran. Electronic address: Shoghli@zums.ac.ir.
Nasim KhosraviDepartment of Community Health Nursing, School of Nursing and Midwifery, Zanjan University of Medical Sciences, Iran. Electronic address: Nasimkhosravi.khosravi3@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study aimed to address whether or to what extent spatial and non-spatial factors with a focus on a healthcare delivery system would influence successful tuberculosis (TB) treatment outcomes in Urmia, Iran. In this cross-sectional study, data of 452 new TB cases were extracted from Urmia TB Management Center during a 5-year period. Using the Geographical Information System (GIS), health centers and study subjects' locations were geocoded on digital maps. To identify the statistically significant geographical clusters, Average Nearest Neighbor (ANN) index was used. Logistic regression analysis was employed to determine the association of spatial and non-spatial variables on the occurrence of adverse treatment outcomes. The spatial clusters of TB cases were concentrated in older, impoverished and outskirts areas. Although there was a tendency toward higher odds of adverse treatment outcomes among urban TB cases, this finding after adjusting for distance from a given TB healthcare center did not reach statistically significant. This article highlights effects of spatial and non-spatial determinants on the TB adverse treatment outcomes, particularly in what way the policies of healthcare services are made. Accordingly, non-spatial determinants in terms of low socio-economic factors need more attention by public health policy makers, and then more focus should be placed on the health delivery system, in particular men's health.

Indexed as

Geographic Information SystemsHealth PolicyAdolescentAdultAgedCross-Sectional StudiesDeveloping CountriesFemaleHumansMaleMiddle AgedRemission InductionRetrospective StudiesSpatial AnalysisTreatment OutcomeTuberculosisAdverse treatment outcomeGeographical Information SystemHealth policy-makingTuberculosis

Identifiers

PMID26231398
PMCPMC7320527

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.