ArticleCanadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR2021
Factors affecting self-management in Iranian tuberculosis patients: A path analysis model.
Article in Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Key requirements for developing a self-care mobile application for tuberculosis: A mixed-method approach based on systematic review and needs assessment.Scientific reports · 2026Pooled it
- Effects of an mHealth Intervention for Pulmonary Tuberculosis Self-management Based on the Integrated Theory of Health Behavior Change: Randomized Controlled Trial.JMIR public health and surveillance · 2022Trial
- Relationships between intolerance of uncertainty and depression in Chinese high-altitude migrants: the mediating effect of mindfulness.BMC public health · 2025Article
- The chain-mediating roles of social support and depression in the relationship between tuberculosis knowledge and self-management: a cross-sectional study based on the ABC-X model.Frontiers in public health · 2025Article
- Article
- Health-related quality of life of persons living with tuberculosis: A cross-sectional study.Journal of clinical tuberculosis and other mycobacterial diseases · 2022Article
- Development and validation of self-management scale for tuberculosis patients.BMC infectious diseases · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSelf-management behaviors can reduce the progression of an illness. Although various factors affect self-management, no study has been conducted on the self-management of tuberculosis (TB) through path analysis.
objectivesThis study evaluated the factors affecting self-management in TB patients using path analysis.
methodsA cross-sectional study was done on 133 non-prisoner TB patients that referred to all health centers in Karaj, Iran, in 2017. A structured questionnaire was applied. Data were analyzed with SPSS-17 and Lisrel 8.8, utilizing statistical path analysis to evaluate the relationships between self-management and its related factors.
resultsOverall, 52.3% of the participants in the study were female and 47.7% were male. Respondents of were 46.9% smear-positive, 9.4% smear-negative, and 43.8% extra-pulmonary TB. Fit indices confirmed the model fitness and logical relationships between the variables according to the conceptual model (χ
conclusionsThis study provided an empirical model that illustrates the relationships between self-management and related factors in TB patients. The knowledge can be the target of interventions in support of self-management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.