Evidence map›Paper›PMID 39885570›Full record

ArticleJournal of health, population, and nutrition2025

The behaviour of TB patients in East Lombok through a health belief model approach.

Suprijandani Suprijandani, Setiawan Setiawan, Pathurrahman Pathurrahman, Slamet Wardoyo, Annisa Maulidia Rahayyu

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Suprijandani SuprijandaniDepartment of Environmental Health, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia. suprijandani@gmail.com.
Setiawan SetiawanDepartment of Environmental Health, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia.
Pathurrahman PathurrahmanHealth Office of East Lombok, Selong, Indonesia.
Slamet WardoyoDepartment of Environmental Health, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia.
Annisa Maulidia RahayyuDepartment of Pharmacy, Institut Teknologi Sumatera, Lampung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a global health problem, including in Indonesia, with East Lombok as a high prevalence region. Although control programmes have been implemented, TB cases remain high. Patient behaviours that are less supportive of treatment, such as non-compliance and social stigma, pose a challenge to TB control efforts in this area. This study aims to explore the behaviour of people with tuberculosis (TB) in East Lombok using the Health Belief Model (HBM) approach. PARTICIPANTS AND PROCEDURE: The method applied was a cross-sectional design, involving 112 respondents with TB who were registered at the Puskesmas. Data were collected through interviews using a questionnaire measuring components of HBM, including perceived vulnerability, severity, benefits, barriers, cues to action, and self-efficacy.

resultsThe analysis showed that perceived vulnerability (p = 0.022), perceived benefits (p = 0.006), perceived barriers (p = 0.045), cues to action (p = 0.004), and self-efficacy (p = 0.009) had a significant influence on the health behaviour of TB patients. Patients with high perceived vulnerability were 1.617 times more likely to adhere to treatment, while those with high perceived barriers were 31.6% less likely to adhere. Social support from family and health professionals also played an important role in improving adherence.

conclusionsFrom this study emphasise the need for interventions designed to increase positive perceptions and reduce perceived barriers, as well as consider the local social and cultural context to improve TB treatment adherence in East Lombok.

Indexed as

Health BehaviorHealth Belief ModelHealth Knowledge, Attitudes, PracticeTuberculosisAdultCross-Sectional StudiesFemaleHumansIndonesiaMaleMiddle AgedSelf EfficacySurveys and QuestionnairesYoung AdultBehaviourHealth belief modelTuberculosis

Identifiers

PMID39885570
PMCPMC11783762

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.