Evidence map›Paper›PMID 34911505›Full record

ReviewBMC public health2021

Human-centered design process and solutions to promote malaria testing and treatment seeking behavior in Guyana hinterlands.

Shirley D Yan, Joann Simpson, Lyndsey Mitchum, Jennifer Orkis, TrishAnn Davis, Sean Wilson, Neil Trotman, Helen Imhoff, Horace Cox, Gabrielle Hunter and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 3 institutions in 1 country.

Shirley D YanJohns Hopkins Center for Communication Programs, 111 Market Place, Suite, Baltimore, MD, 310, USA.
Joann SimpsonBreakthrough ACTION Guyana, XX Barrack St., Georgetown, Guyana. joanns@breakthroughactiongy.org.
Lyndsey MitchumJohns Hopkins Center for Communication Programs, 111 Market Place, Suite, Baltimore, MD, 310, USA.
Jennifer OrkisJohns Hopkins Center for Communication Programs, 111 Market Place, Suite, Baltimore, MD, 310, USA.
TrishAnn DavisJohns Hopkins Center for Communication Programs, 111 Market Place, Suite, Baltimore, MD, 310, USA.
Sean WilsonBreakthrough ACTION Guyana, XX Barrack St., Georgetown, Guyana.
Neil TrotmanVector Control Services, Ministry of Health, Middle Street, Georgetown, Guyana.
Helen ImhoffVector Control Services, Ministry of Health, Middle Street, Georgetown, Guyana.
Horace CoxVector Control Services, Ministry of Health, Middle Street, Georgetown, Guyana.
Gabrielle HunterBreakthrough ACTION Guyana, XX Barrack St., Georgetown, Guyana.
Bolanle OlapejuJohns Hopkins Center for Communication Programs, 111 Market Place, Suite, Baltimore, MD, 310, USA.
Camille AdamsBreakthrough ACTION Guyana, XX Barrack St., Georgetown, Guyana.
J Douglas StoreyJohns Hopkins Center for Communication Programs, 111 Market Place, Suite, Baltimore, MD, 310, USA.
Breakthrough · USJohns Hopkins University · USJohns Hopkins Center for Communication Programs · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a persistent public health challenge among miners and other hard-to-reach populations in Guyana's hinterland, specifically in Regions 1, 7, 8, and 9. Despite an overall decrease in malaria prevalence throughout Guyana, it remains common among mining populations whose work conditions both contribute toward malaria transmission and make it difficult to seek timely, Ministry of Health (MoH) approved malaria testing and treatment services. In an effort to develop innovative approaches to address this public health challenge, an interdisciplinary team of public health professionals, designers, and mining organizations collaborated using a human-centered design (HCD) process facilitated by the USAID-funded Breakthrough ACTION Guyana project in partnership with the MoH.

methodsThis paper describes two phases: [1] Define and [2] Design & Test. In the Define phase, following a literature review, we conducted 108 qualitative interviews with miners, camp managers, trained malaria testers, health workers, and other key stakeholders to understand experiences and challenges when seeking malaria testing and treatment services. These interviews were synthesized into 11 insights on issues such as risk perception, malaria knowledge, preventive behaviors, traditional and self-treatment, adherence to the correct treatment, testing, and coordination and communication gaps. From these insights, during the Design & Test phase, we developed 33 "How might we…?" questions which led to 792 ideas, of which eight emergent concepts were prototyped and refined in the field with 145 miners, camp managers, and stakeholders.

resultsThe five final prototypes included: "Little Mosquito, Big Problem" social behavior change campaign; rapid counseling cards; branded malaria testing and treatment services; innovations in treatment adherence; and a participants, content, and logistics approach.

conclusionWhen applying HCD to public health issues, there are both opportunities and challenges to reconcile gaps that may exist between the two disciplines. However, HCD provides additional tools and mindsets to generatively work with migrant and mobile mining communities to encourage malaria testing and treatment services.

Indexed as

MalariaMinersTransients and MigrantsGuyanaHumansPatient Acceptance of Health CareGuyanaHuman-centered designMalaria

Identifiers

PMID34911505
PMCPMC8672563
OpenAlexW4225796446

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.