Evidence map›Paper›PMID 31455388›Full record

ArticleBMC research notes2019

Acceptability of mandatory tuberculosis notification among private practitioners in Yogyakarta, Indonesia.

Ari Kurniawati, Retna S Padmawati, Yodi Mahendradhata

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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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

3 authors.

Ari KurniawatiPostgraduate Programme in Public Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Retna S PadmawatiDepartment of Health Behaviour, Environment, and Social Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Yodi MahendradhataDepartment of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia. yodi_mahendradhata@yahoo.co.uk.ORCID http://orcid.org/0000-0002-4522-1785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIndonesia ranks second globally in the number of cases not reported to the National Tuberculosis Control Program, accounting for 11% of the total cases lost worldwide. In 2016, the Ministry of Health has issued Regulation Number 67 on tuberculosis control, which requires mandatory tuberculosis notification. We aimed to assess the prospective acceptability of mandatory tuberculosis notification among solo private practitioners and private primary care clinics in Yogyakarta.

resultsOur study highlighted critical issues which need to be addressed in ensuring acceptability of mandatory tuberculosis case notification. We found that that private practitioners do not notify tuberculosis cases due to a lack of policy knowledge. Mandatory tuberculosis notification and its potential penalties were also felt as burdensome by private practitioners. There were ethical concerns among the private practitioners in our study about patient's privacy and patients potentially lost to other healthcare facility. Private practitioners emphasized the need for intervention coherence and cooperation. We also observed pattern variations of these constructs across characteristics of private practitioners.

Indexed as

Mandatory ReportingAdultAgedDisease NotificationFemaleHealth PolicyHumansIndonesiaMaleMiddle AgedPrimary Health CarePrivate PracticeProspective StudiesSurveys and QuestionnairesTuberculosisAcceptabilityIndonesiaMandatory notificationPrivate practitionersTuberculosis

Identifiers

PMID31455388
PMCPMC6712591

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.