Evidence map›Paper›PMID 31190131›Full record

ArticleJournal of medical systems2019

Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches.

Md Faisal Kabir, Daniel Schulman, Abu S Abdullah

Abstract read
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In one paragraph

Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Mpox: transmission dynamics, treatment, and innovations.Therapeutic advances in infectious disease
    Review
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

3 authors.

Md Faisal KabirDepartment of Computer Science, North Dakota State University, Fargo, ND, 58108, USA.
Daniel SchulmanPhilips Research North America, 2 Canal Park, 3rd Floor, Cambridge, MA, 02141, USA.
Abu S AbdullahBoston University School of Medicine, Boston Medical Center, 801 Massachusetts Avenue, Boston, MA, 02118, USA. abu.s.abdullah@gmail.com.ORCID http://orcid.org/0000-0002-9841-0344

Funding

ECapacity Building in China for Using ICT in Global Health Research and TrainingR25TW009715 · FIC · BOSTON MEDICAL CENTER · PI ABDULLAH, ABU SALEH · 2015 to 2017
$322k
Fogarty International Centre, US National Institute of Health R25TW009715
6 · The paper itself

Abstract

The use of contemporary technologies in healthcare systems to improve quality of care and to promote behavioral healthcare outcomes are prevalent in high-income countries. However, low and middle-income countries (LMICs) are not receiving the same advantages of technology, which may be due to inadequate technological infrastructure and financial resources, lack of interest among policy makers and healthcare service providers, lack of skills and capacity among healthcare professionals in using technology based interventions, and resistance of the public to the use of technologies for healthcare or health promotion activities. Technology-based interventions offer considerable promise to develop entirely new models of healthcare both within and outside of formal systems of care and offer the opportunity to have a large public health impact. Such technology-based interventions could be used to address targeted global health problems in LMICs, including the chronic non-communicable diseases (NCDs) - a growing health system burden in LMICs. Major preventable behavioral risk factors of chronic NCDs are increasing in LMICs, and innovative interventions are essential to address these risk factors. Computer-based or mobile-based virtual coaches or Relational Agents (RAs) are increasingly being explored for counseling patients to change their health behavior in high-income countries; however, the use of RAs in LMICs has not been studied. In this paper, we summarize the growing application of RA technology in behavior change interventions in high-income countries and describe the potential of its use in LMICs. Finally, we review the potential barriers and challenges in promoting RAs in LMICs.

Indexed as

Developing CountriesHealth BehaviorSmartphoneGlobal HealthHealth PromotionHumansMentorsMobile ApplicationsNoncommunicable DiseasesRisk FactorsTelemedicineInformation and communication technology (ICT)Low and middle-income countries (LMICs)Mobile health (mHealth)Relational agent

Identifiers

What OpenQuestion holds

Textmetadata
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.