Literature DB >> 31190131

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

Md Faisal Kabir1, Daniel Schulman2, Abu S Abdullah3,4,5.   

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.

Entities:  

Keywords:  Information and communication technology (ICT); Low and middle-income countries (LMICs); Mobile health (mHealth); Relational agent

Mesh:

Year:  2019        PMID: 31190131     DOI: 10.1007/s10916-019-1360-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  72 in total

1.  Community-based parenting and family support interventions and the prevention of drug abuse.

Authors:  M R Sanders
Journal:  Addict Behav       Date:  2000 Nov-Dec       Impact factor: 3.913

Review 2.  Evaluating the public health impact of health promotion interventions: the RE-AIM framework.

Authors:  R E Glasgow; T M Vogt; S M Boles
Journal:  Am J Public Health       Date:  1999-09       Impact factor: 9.308

3.  Ethical principles of psychologists and code of conduct.

Authors: 
Journal:  Am Psychol       Date:  2002-12

4.  Cultural sensitivity and adaptation in family-based prevention interventions.

Authors:  Karol L Kumpfer; Rose Alvarado; Paula Smith; Nikki Bellamy
Journal:  Prev Sci       Date:  2002-09

5.  Why don't we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition.

Authors:  Russell E Glasgow; Edward Lichtenstein; Alfred C Marcus
Journal:  Am J Public Health       Date:  2003-08       Impact factor: 9.308

Review 6.  Promotion of smoking cessation in developing countries: a framework for urgent public health interventions.

Authors:  A S M Abdullah; C G Husten
Journal:  Thorax       Date:  2004-07       Impact factor: 9.139

7.  Overcoming health-systems constraints to achieve the Millennium Development Goals.

Authors:  Phyllida Travis; Sara Bennett; Andy Haines; Tikki Pang; Zulfiqar Bhutta; Adnan A Hyder; Nancy R Pielemeier; Anne Mills; Timothy Evans
Journal:  Lancet       Date:  2004 Sep 4-10       Impact factor: 79.321

8.  New approaches to improving patient safety: strategy, technology and funding.

Authors:  Mae Squires; Dennis Biesiada; Rheta Fanizza; Altaf Stationwala; James MacLean; Ann-Marie Strapp
Journal:  Healthc Q       Date:  2005

9.  Promoting patient safety: is technology the solution?

Authors:  D M Nadzam; R M Macklis
Journal:  Jt Comm J Qual Improv       Date:  2001-08

10.  The law of attrition.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2005-03-31       Impact factor: 5.428

View more
  1 in total

1.  Why Do Patients Seek Diagnose Dis-accordance With Hierarchical Medical System Related Policies in Tertiary Hospitals? A Qualitative Study in Shanghai From the Perspective of Physicians.

Authors:  Yuhui Ruan; Jin Luo; Hong Lin
Journal:  Front Public Health       Date:  2022-03-25
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.