Evidence map›Paper›PMID 35363783›Full record

ArticlePloS one2022

A cost analysis of implementing mobile health facilitated tuberculosis contact investigation in a low-income setting.

Patricia Turimumahoro, Austin Tucker, Amanda J Gupta, Radhika P Tampi, Diana Babirye, Emmanuel Ochom, Joseph M Ggita, Irene Ayakaka, Hojoon Sohn, Achilles Katamba and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 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

12 authors at 3 institutions in 3 countries.

Patricia TurimumahoroUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Austin TuckerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Amanda J GuptaUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.ORCID 0000-0003-2318-1783
Radhika P TampiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0002-6953-7768
Diana BabiryeUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Emmanuel OchomUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Joseph M GgitaUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Irene AyakakaUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Hojoon SohnDepartment of Preventative Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Achilles KatambaUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
David DowdyUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
J Lucian DavisUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Johns Hopkins University · USMakerere University · UGSeoul National University · KR

Funding

Mobile Health for Implementation of Home-based TB Contact Investigation in UgandaR01AI104824 · NIAID · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN · 2013 to 2023
$6.7M
TB and Other Pulmonary Complications of AIDS Research Training ProgramD43TW009607 · FIC · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN, KATAMBA, ACHILLES · 2013 to 2022
$3.2M
FIC NIH HHS D43 TW009607NIAID NIH HHS R01 AI104824
6 · The paper itself

Abstract

introductionMobile health (mHealth) applications may improve timely access to health services and improve patient-provider communication, but the upfront costs of implementation may be prohibitive, especially in resource-limited settings.

methodsWe measured the costs of developing and implementing an mHealth-facilitated, home-based strategy for tuberculosis (TB) contact investigation in Kampala, Uganda, between February 2014 and July 2017. We compared routine implementation involving community health workers (CHWs) screening and referring household contacts to clinics for TB evaluation to home-based HIV testing and sputum collection and transport with test results delivered by automated short messaging services (SMS). We carried out key informant interviews with CHWs and asked them to complete time-and-motion surveys. We estimated program costs from the perspective of the Ugandan health system, using top-down and bottom-up (components-based) approaches. We estimated total costs per contact investigated and per TB-positive contact identified in 2018 US dollars, one and five years after program implementation.

resultsThe total top-down cost was $472,327, including $358,504 (76%) for program development and $108,584 (24%) for program implementation. This corresponded to $320-$348 per household contact investigated and $8,873-$9,652 per contact diagnosed with active TB over a 5-year period. CHW time was spent primarily evaluating household contacts who returned to the clinic for evaluation (median 30 minutes per contact investigated, interquartile range [IQR]: 30-70), collecting sputum samples (median 29 minutes, IQR: 25-30) and offering HIV testing services (median 28 minutes, IQR: 17-43). Cost estimates were sensitive to infrastructural capacity needs, program reach, and the epidemiological yield of contact investigation.

conclusionOver 75% of all costs of the mHealth-facilitated TB contact investigation strategy were dedicated to establishing mHealth infrastructure and capacity. Implementing the mHealth strategy at scale and maintaining it over a longer time horizon could help decrease development costs as a proportion of total costs.

Indexed as

TelemedicineTuberculosisContact TracingCosts and Cost AnalysisHumansUganda

Identifiers

PMID35363783
PMCPMC8975098
OpenAlexW4221039001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.