ArticleBMJ open2019
Exploratory, cross-sectional social network study to assess the influence of social networks on the care-seeking behaviour, treatment adherence and outcomes of patients with tuberculosis in Chennai, India: a study protocol.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Observational
- Social network analysis methods for exploring SARS-CoV-2 contact tracing data.BMC medical research methodology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPoor treatment adherence and outcomes among patients with tuberculosis (TB) lead to drug resistance, and increased risk of morbidity, mortality and transmission of the disease in the community. Individual patient-level psychological and behavioural risk factors and structural-level social and health system determinants of treatment adherence and outcomes had been studied widely in India and other countries. There is an evidence gap on how care-seeking behaviour, treatment adherence and outcomes of patients with TB are influenced by their social network structure and the different support they received from social network members. METHODS AND ANALYSIS: We propose an exploratory, cross-sectional social network study to assess the social network structure of patients with TB in Chennai who recently completed their treatment under the Revised National Tuberculosis Control Program in India. We will employ egocentric personal social network survey to 380 patients with TB to generate their social network relationships and will retrospectively assess the types of support they received from different network members. Support received will be categorised as emotional support, resources support, appraisal support, informational support, spiritual support, occupational support and practical support. Social network size, composition, density, centrality and cohesion for individual patients with TB will be calculated and sociograms will be developed. Multinomial logistic regressions will be used to assess the relationship between the 'structure of social network members' and 'social network supports' and the differential treatment-seeking behaviour, treatment adherence and outcomes among patients with TB. ETHICS AND HUMAN PROTECTION: The proposal was approved by the Institutional Review Board and Ethics Committee of the School of Public Health, SRM University in Kancheepuram. Confidentiality and privacy of participants will be protected. Duty of care for patients who have not completed treatment will be ensured by taking all possible measures to bring them back for treatment.
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