Evidence map›Paper›PMID 30832718›Full record

ArticleTrials2019

Using discrete choice experiments to inform the design of complex interventions.

Fern Terris-Prestholt, Nyasule Neke, Jonathan M Grund, Marya Plotkin, Evodius Kuringe, Haika Osaki, Jason J Ong, Joseph D Tucker, Gerry Mshana, Hally Mahler and 3 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 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

13 authors at 6 institutions in 3 countries.

Fern Terris-PrestholtDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK. Fern.Terris-Prestholt@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-1693-5196
Nyasule NekeNational Institute for Medical Research, PO Box 1462, Mwanza, Tanzania.
Jonathan M GrundCenters for Disease Control and Prevention (CDC), Center for Global Health, Division of Global HIV & TB, Atlanta, GA, 30333, USA.
Marya PlotkinJhpiego, 1615 Thames Street, Baltimore, MD, 21231, USA.
Evodius KuringeNational Institute for Medical Research, PO Box 1462, Mwanza, Tanzania.
Haika OsakiNational Institute for Medical Research, PO Box 1462, Mwanza, Tanzania.
Jason J OngDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Joseph D TuckerDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Kepple Street, London, WC1E 7HT, UK.
Gerry MshanaNational Institute for Medical Research, PO Box 1462, Mwanza, Tanzania.
Hally MahlerFHI 360, 1825 Connecticut Avenue NW, Washington, DC, 20009, USA.
Helen A WeissMRC Tropical Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Kepple Street, London, WC1E 7HT, UK.
Mwita WamburaNational Institute for Medical Research, PO Box 1462, Mwanza, Tanzania.
VMMC study team
London School of Hygiene & Tropical Medicine · GBNational Institute for Medical Research · TZCenters for Disease Control and Prevention · USFamily Health International 360 · USUniversity of London · GBUniversity of North Carolina at Chapel Hill · US

Funding

CDC HHS GH000513CGH CDC HHS U01 GH000513Medical Research Council MR/K012126/1Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundComplex health interventions must incorporate user preferences to maximize their potential effectiveness. Discrete choice experiments (DCEs) quantify the strength of user preferences and identify preference heterogeneity across users. We present the process of using a DCE to supplement conventional qualitative formative research in the design of a demand creation intervention for voluntary medical male circumcision (VMMC) to prevent HIV in Tanzania.

methodsThe VMMC intervention was designed within a 3-month formative phase. In-depth interviews (n = 30) and participatory group discussions (n = 20) sought to identify broad setting-specific barriers to and facilitators of VMMC among adult men. Qualitative results informed the DCE development, identifying the role of female partners, service providers' attitudes and social stigma. A DCE among 325 men in Njombe and Tabora, Tanzania, subsequently measured preferences for modifiable VMMC service characteristics. The final VMMC demand creation intervention design drew jointly on the qualitative and DCE findings.

resultsWhile the qualitative research informed the community mobilization intervention, the DCE guided the specific VMMC service configuration. The significant positive utilities (u) for availability of partner counselling (u = 0.43, p < 0.01) and age-separated waiting areas (u = 0.21, p < 0.05) led to the provision of community information booths for partners and provision of age-separated waiting areas. The strong disutility of female healthcare providers (u = - 0.24, p < 0.01) led to re-training all providers on client-friendliness.

conclusionThis is, to our knowledge, the first study documenting how user preferences from DCEs can directly inform the design of a complex intervention. The use of DCEs as formative research may help increase user uptake and adherence to complex interventions.

Indexed as

Choice BehaviorHealth Knowledge, Attitudes, PracticeResearch DesignAdultAttitude of Health PersonnelCircumcision, MaleClinical Trials as TopicFemaleHumansMalePatient Acceptance of Health CareQualitative ResearchResearch SubjectsSocial StigmaSpousesTanzaniaChoice experimentFormative researchHIVPreferencesTanzaniaVoluntary medical male circumcision

Identifiers

PMID30832718
PMCPMC6399844
OpenAlexW2935308879

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.