Evidence map›Paper›PMID 28901285›Full record

ArticleeLife2017

A case study for a psychographic-behavioral segmentation approach for targeted demand generation in voluntary medical male circumcision.

Sema K Sgaier, Maria Eletskaya, Elisabeth Engl, Owen Mugurungi, Bushimbwa Tambatamba, Gertrude Ncube, Sinokuthemba Xaba, Alice Nanga, Svetlana Gogolina, Patrick Odawo and 2 more

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Sema K SgaierSurgo Foundation, Seattle, United States.ORCID http://orcid.org/0000-0002-8311-2686
Maria EletskayaCello Health Insight, London, United Kingdom.
Elisabeth EnglSurgo Foundation, Seattle, United States.
Owen MugurungiMinistry of Health and Child Care, Harare, Zimbabwe.
Bushimbwa TambatambaMother and Child Health, Ministry of Community Development, Lusaka, Zambia.
Gertrude NcubeMinistry of Health and Child Care, Harare, Zimbabwe.
Sinokuthemba XabaMinistry of Health and Child Care, Harare, Zimbabwe.
Alice NangaIpsos Healthcare, London, United Kingdom.
Svetlana GogolinaIpsos Healthcare, London, United Kingdom.
Patrick OdawoAhimsa Group LLC, Nairobi, Kenya.
Sehlulekile Gumede-MoyoIpsos Healthcare, London, United Kingdom.
Steve KretschmerSurgo Foundation, Seattle, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health programs are starting to recognize the need to move beyond a one-size-fits-all approach in demand generation, and instead tailor interventions to the heterogeneity underlying human decision making. Currently, however, there is a lack of methods to enable such targeting. We describe a novel hybrid behavioral-psychographic segmentation approach to segment stakeholders on potential barriers to a target behavior. We then apply the method in a case study of demand generation for voluntary medical male circumcision (VMMC) among 15-29 year-old males in Zambia and Zimbabwe. Canonical correlations and hierarchical clustering techniques were applied on representative samples of men in each country who were differentiated by their underlying reasons for their propensity to get circumcised. We characterized six distinct segments of men in Zimbabwe, and seven segments in Zambia, according to their needs, perceptions, attitudes and behaviors towards VMMC, thus highlighting distinct reasons for a failure to engage in the desired behavior.

Indexed as

Patient Acceptance of Health CareAdolescentAdultBehavior TherapyCircumcision, MaleHumansMaleYoung AdultZambiaZimbabwedemand generationepidemiologyglobal healthnonesegmentationvoluntary medical male circumcision

Identifiers

PMID28901285
PMCPMC5628013

What OpenQuestion holds

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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.