Evidence map›Paper›PMID 32181000›Full record

ArticleBMJ global health2020

Understanding pretreatment loss to follow-up of tuberculosis patients: an explanatory qualitative study in Chennai, India.

Beena E Thomas, Chandra Suresh, J Lavanya, Mika M Lindsley, Amith T Galivanche, Senthil Sellappan, Senthanro Ovung, Amritha Aravind, Savari Lincy, Agnes Lawrence Raja and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 19% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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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

16 authors at 5 institutions in 3 countries.

Beena E Thomas *Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Chandra SureshDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
J LavanyaDistrict TB Office, Chennai, Tamil Nadu, India.
Mika M LindsleyDepartment of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, USA.
Amith T GalivancheDepartment of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, USA.
Senthil SellappanDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Senthanro OvungDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Amritha AravindDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Savari LincyDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Agnes Lawrence RajaDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
S KokilaDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
B JaveedDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
S ArumugamDepartment of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Kenneth H MayerFenway Institute, Boston, Massachusetts, USA.
Soumya SwaminathanWorld Health Organization Headquarters, Geneva, Switzerland.
Ramnath Subbaraman *Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-2063-943X
National Institute of Research in Tuberculosis · INTufts University · USBeth Israel Deaconess Medical Center · USTamil Nadu Board of Rural Development · INWorld Health Organization · CH

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
Doris Duke Charitable Foundation 2018095FIC NIH HHS D43 TW010540FIC NIH HHS R25 TW009338NCATS NIH HHS KL2 TR001100World Health Organization 001
6 · The paper itself

Abstract

Introduction: Pretreatment loss to follow-up (PTLFU)-dropout of patients after diagnosis but before treatment registration-is a major gap in tuberculosis (TB) care in India and globally. Patient and healthcare worker (HCW) perspectives are critical for developing interventions to reduce PTLFU. Methods: We tracked smear-positive TB patients diagnosed via sputum microscopy from 22 diagnostic centres in Chennai, one of India's largest cities. Patients who did not start therapy within 14 days, or who died or were lost to follow-up before official treatment registration, were classified as PTLFU cases. We conducted qualitative interviews with trackable patients, or family members of patients who had died. We conducted focus group discussions (FGDs) with HCWs involved in TB care. Interview and FGD transcripts were coded and analysed with Dedoose software to identify key themes. We created categories into which themes clustered and identified relationships among thematic categories to develop an explanatory model for PTLFU. Results: We conducted six FGDs comprising 53 HCWs and 33 individual patient or family member interviews. Themes clustered into five categories. Examining relationships among categories revealed two pathways leading to PTLFU as part of an explanatory model. In the first pathway, administrative and organisational health system barriers-including the complexity of navigating the system, healthcare worker absenteeism and infrastructure failures-resulted in patients feeling frustration or resignation, leading to disengagement from care. In turn, HCWs faced work constraints that contributed to many of these health system barriers for patients. In the second pathway, negative HCW attitudes and behaviours contributed to patients distrusting the health system, resulting in refusal of care. Conclusion: Health system barriers contribute to PTLFU directly and by amplifying patient-related challenges to engaging in care. Interventions should focus on removing administrative hurdles patients face in the health system, improving quality of the HCW-patient interaction and alleviating constraints preventing HCWs from providing patient-centred care.

Indexed as

TuberculosisFollow-Up StudiesHealth PersonnelHumansIndiaQualitative Researchhealth services researchhealth systemsqualitative studytuberculosis

Identifiers

PMID32181000
PMCPMC7053785
OpenAlexW3010165345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.