Evidence map›Paper›PMID 29946229›Full record

ArticleCost effectiveness and resource allocation : C/E2018

Brief interventions to address substance use among patients presenting to emergency departments in resource poor settings: a cost-effectiveness analysis.

Rebecca Dwommoh, Katherine Sorsdahl, Bronwyn Myers, Kwaku Poku Asante, Tracey Naledi, Dan J Stein, Susan Cleary

Open access · goldAbstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Article
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  6. Assessment of substance use among injured persons seeking emergency care in Nairobi, Kenya.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022
    Article
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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 at 4 institutions in 2 countries.

Rebecca Dwommoh1Health Economics Unit, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, 7925 South Africa.ORCID 0000-0002-2261-0905
Katherine Sorsdahl3Alan J. Flisher Centre for Public Mental Health, Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, 7925 South Africa.
Bronwyn Myers4Department of Psychiatry & Mental Health, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925 South Africa.
Kwaku Poku Asante2Kintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana.
Tracey Naledi6Western Cape Department of Health, 8 Riebeeck Street, Cape Town, 8001 South Africa.
Dan J Stein4Department of Psychiatry & Mental Health, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925 South Africa.
Susan Cleary1Health Economics Unit, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, 7925 South Africa.
University of Cape Town · ZAKintampo Health Research Centre · GHSouth African Medical Research Council · ZAWestern Cape Department of Health · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are limited data describing the cost-effectiveness of brief interventions for substance use in resource-poor settings. Using a patient and provider perspective, this study investigates the cost-effectiveness of a brief motivational interviewing (MI) intervention versus a combined intervention of MI and problem solving therapy (MI-PST) for reducing substance use among patients presenting to emergency departments, in comparison to a control group.

methodsEffectiveness data were extracted from Project STRIVE (Substance use and Trauma InterVention) conducted in South Africa. Patients were randomised to either receive 1 session of MI (n = 113) or MI in addition to four sessions of PST (n = 109) or no intervention [control (n = 110)]. Costs included the direct health care costs associated with the interventions. Patient costs included out of pocket payments incurred accessing the MI-PST intervention. Outcome measures were patients' scores on the Alcohol, Smoking and Substance Use Involvement Screening Test (ASSIST) and the Centre for Epidemiological Studies Depression Scale (CES-D).

resultsCost per patient was low in all three groups; US$16, US$33 and US$11, and for MI, MI-PST and control respectively. Outcomes were 0.92 (MI), 1.06 (MI-PST) and 0.88 (control) for ASSIST scores; and 0.74 (MI), 1.27 (MI-PST) and 0.53 (control) for CES-D scores. In comparison to the control group, the MI intervention costs an additional US$119 per unit reduction in ASSIST score, (US$20 for CES-D); MI-PST in comparison to MI costs US$131 or US$33 per unit reduction in ASSIST or CES-D scores respectively. The sensitivity analyses showed that increasing the number of patients who screened positive and thus received the intervention could improve the effectiveness and cost-effectiveness of the interventions.

conclusionMI or MI-PST interventions delivered by lay counsellors have the potential to be cost-effective strategies for the reduction of substance use disorder and depressive symptoms among patients presenting at emergency departments in resource poor settings. Given the high economic, social and health care cost of substance use disorders in South Africa, these results suggest that these interventions should be carefully considered for future implementation.

Indexed as

Brief interventionsCost-effectiveness analysisEmergency departmentsProblem solving therapySubstance use

Identifiers

PMID29946229
PMCPMC6006568
OpenAlexW2808248694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.