Evidence map›Paper›PMID 39415167›Full record

ArticleBMC health services research2024

Individual, community and health systems factors influencing time to notification of tuberculosis: situating software and hardware bottlenecks in local health systems.

Sandra Beauty Chilala, Adam Silumbwe, Joseph Mumba Zulu, Moses Tetui, Maio Bulawayo, Mwimba Chewe, Peter Hangoma

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Sandra Beauty ChilalaDepartment of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia.
Adam SilumbweDepartment of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia. adam.silumbwe@umu.se.
Joseph Mumba ZuluDepartment of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia.
Moses TetuiDepartment of Epidemiology and Global Health, Umeå University, 901 87 Umeå, Sweden.
Maio BulawayoDepartment of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia.
Mwimba CheweDepartment of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia.
Peter HangomaDepartment of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite several global interventions, tuberculosis (TB) remains a leading cause of death affecting millions of people globally. Many TB patients either have no access to quality care or go undetected by national health systems. Several multilevel factors account for under-detection of persons with TB. This study sought to explore patient-related software, community and health systems software and hardware factors influencing time to notification of TB in Lusaka District, Zambia.

methodsThis was an exploratory qualitative case study that adopted a software and hardware lens of conceptualizing health systems. Data were collected from across three sites - urban and peri-urban areas: Chongwe, Kafue, and Lusaka - within Lusaka Province, Zambia. Sixteen key informants - TB corner nurses, community TB treatment supporters, and TB program managers - were interviewed. Six focus groups were held with TB patients. Data were analyzed using thematic analysis.

resultsThe study identified factors influencing timely TB notification, categorized into software and hardware elements. Patient-related software elements, including TB knowledge and awareness, and health-seeking behavior, are crucial for prompt notification among TB patients. In the community health system, software elements like social stigma and undesirable community attitudes towards contact tracing, and hardware elements such as unbalanced schedules, excessive workload and limited capacity of community TB treatment supporters contribute to delayed TB notification. In the formal health system, software elements like negative attitudes of health providers towards TB patients and demotivation of TB staff, and hardware elements such as high diagnostics and transportation costs, outdated diagnostics in primary care facilities, and slow referral mechanisms, can also delay TB notification.

conclusionDelays in time to TB notification are influenced by a combination of software (attitudinal and behavioral) and hardware (resource-related) elements across TB patients, community health systems, community TB treatment supporters, health providers, and TB staff. Addressing these factors, particularly social stigma, negative attitudes, and resource constraints, is crucial to improving timely TB detection and treatment.

Indexed as

Focus GroupsQualitative ResearchTuberculosisAdultDisease NotificationFemaleHumansMaleMiddle AgedSoftwareTime FactorsZambiaCommunityDetectionFactorsHardwareHealth systemsSoftwareTuberculosisZambia

Identifiers

PMID39415167
PMCPMC11481775

What Socratic 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 Socratic graph.