Literature DB >> 28421356

The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings.

Jeffrey I Campbell1, Isaac Aturinda2, Evans Mwesigwa2, Bridget Burns3, Data Santorino2, Jessica E Haberer4, David R Bangsberg5, Richard J Holden6, Norma C Ware7, Mark J Siedner8,9,10.   

Abstract

Although mobile health (mHealth) technologies have shown promise in improving clinical care in resource-limited settings (RLS), they are infrequently brought to scale. One limitation to the success of many mHealth interventions is inattention to end-user acceptability, which is an important predictor of technology adoption. We conducted in-depth interviews with 43 people living with HIV in rural Uganda who had participated in a clinical trial of a short messaging system (SMS)-based intervention designed to prompt return to clinic after an abnormal laboratory test. Interviews focused on established features of technology acceptance models, including perceived ease of use and perceived usefulness, and included open-ended questions to gain insight into unexplored issues related to the intervention's acceptability. We used conventional (inductive) and direct content analysis to derive categories describing use behaviors and acceptability. Interviews guided development of a proposed conceptual framework, the technology acceptance model for resource-limited settings (TAM-RLS). This framework incorporates both classic technology acceptance model categories as well as novel factors affecting use in this setting. Participants described how SMS message language, phone characteristics, and experience with similar technologies contributed to the system's ease of use. Perceived usefulness was shaped by the perception that the system led to augmented HIV care services and improved access to social support from family and colleagues. Emergent themes specifically related to mHealth acceptance among PLWH in Uganda included (1) the importance of confidentiality, disclosure, and stigma, and (2) the barriers and facilitators downstream from the intervention that impacted achievement of the system's target outcome. The TAM-RLS is a proposed model of mHealth technology acceptance based upon end-user experiences in rural Uganda. Although the proposed model requires validation, the TAM-RLS may serve as a useful tool to guide design and implementation of mHealth interventions.

Entities:  

Keywords:  Acceptability; HIV; Technology; Uganda; mHealth

Mesh:

Year:  2017        PMID: 28421356      PMCID: PMC5763567          DOI: 10.1007/s10461-017-1765-y

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  37 in total

Review 1.  Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review.

Authors:  Alexander J Lankowski; Mark J Siedner; David R Bangsberg; Alexander C Tsai
Journal:  AIDS Behav       Date:  2014-07

Review 2.  mHealth adoption in low-resource environments: a review of the use of mobile healthcare in developing countries.

Authors:  Arul Chib; Michelle Helena van Velthoven; Josip Car
Journal:  J Health Commun       Date:  2014-03-27

Review 3.  A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care.

Authors:  Kathryn E Muessig; Manali Nekkanti; Jose Bauermeister; Sheana Bull; Lisa B Hightow-Weidman
Journal:  Curr HIV/AIDS Rep       Date:  2015-03       Impact factor: 5.071

4.  Perceptions about the acceptability of assessments of HIV medication adherence in Lilongwe, Malawi and Chennai, India.

Authors:  Steven A Safren; N Kumarasamy; Mina Hosseinipour; Meaghan M Harwood; Irving Hoffman; Marybeth McCauley; Allan Jumbe; Christina Nyirenda; Matthew J Mimiaga; Suniti Solomon; David Celentano; Kenneth H Mayer
Journal:  AIDS Behav       Date:  2006-07

5.  Testing the Technology Acceptance Model: HIV case managers' intention to use a continuity of care record with context-specific links.

Authors:  Rebecca Schnall; Suzanne Bakken
Journal:  Inform Health Soc Care       Date:  2011-09       Impact factor: 2.439

6.  Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology.

Authors:  William Brown; Po-Yin Yen; Marlene Rojas; Rebecca Schnall
Journal:  J Biomed Inform       Date:  2013-08-23       Impact factor: 6.317

7.  Know your audience: predictors of success for a patient-centered texting app to augment linkage to HIV care in rural Uganda.

Authors:  Mark J Siedner; Data Santorino; Jessica E Haberer; David R Bangsberg
Journal:  J Med Internet Res       Date:  2015-03-24       Impact factor: 5.428

8.  Creating Effective Mobile Phone Apps to Optimize Antiretroviral Therapy Adherence: Perspectives From Stimulant-Using HIV-Positive Men Who Have Sex With Men.

Authors:  Keith J Horvath; Dawit Alemu; Thu Danh; Jason V Baker; Adam W Carrico
Journal:  JMIR Mhealth Uhealth       Date:  2016-04-15       Impact factor: 4.773

9.  "That is why I stopped the ART": patients' & providers' perspectives on barriers to and enablers of HIV treatment adherence in a South African workplace programme.

Authors:  Mison Dahab; Salome Charalambous; Robin Hamilton; Katherine Fielding; Karina Kielmann; Gavin J Churchyard; Alison D Grant
Journal:  BMC Public Health       Date:  2008-02-18       Impact factor: 3.295

10.  mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature.

Authors:  Caricia Catalani; William Philbrick; Hamish Fraser; Patricia Mechael; Dennis M Israelski
Journal:  Open AIDS J       Date:  2013-08-13
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  24 in total

Review 1.  Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review.

Authors:  Jane M Simoni; Keshet Ronen; Frances M Aunon
Journal:  Curr HIV/AIDS Rep       Date:  2018-12       Impact factor: 5.071

Review 2.  Implementation of eHealth Interventions Across the HIV Care Cascade: a Review of Recent Research.

Authors:  Christopher G Kemp; Jennifer Velloza
Journal:  Curr HIV/AIDS Rep       Date:  2018-12       Impact factor: 5.071

3.  Development of a digital pill and respondent behavioral intervention (PrEPSteps) for HIV pre-exposure prophylaxis adherence among stimulant using men who have sex with men.

Authors:  Peter R Chai; Yassir Mohamed; Georgia Goodman; Maria J Bustamante; Matthew C Sullivan; Jesse Najarro; Lizette Mendez; Kenneth H Mayer; Edward W Boyer; Conall O'Cleirigh; Rochelle K Rosen
Journal:  Transl Behav Med       Date:  2022-01-18       Impact factor: 3.626

4.  Acceptability of Mobile Phone-Based Nurse-Delivered Counseling Intervention to Improve HIV Treatment Adherence and Self-Care Behaviors Among HIV-Positive Women in India.

Authors:  Mona Duggal; Venkatesan Chakrapani; Lauren Liberti; Veena Satyanarayna; Meiya Varghese; Pushpendera Singh; Mohini Ranganathan; Prabha Chandra; Nancy R Reynolds
Journal:  AIDS Patient Care STDS       Date:  2018-09       Impact factor: 5.078

5.  Feasibility of a mHealth survey application for incarcerated and postrelease people living with HIV in a low-resource setting.

Authors:  Karen Dunn Lopez; Claire Cravero; Archana Krishnan; Vanessa E Carvalho de Sousa Freire; Gabriel J Culbert
Journal:  Res Nurs Health       Date:  2020-12-20       Impact factor: 2.228

Review 6.  Ethical, Legal, and Sociocultural Issues in the Use of Mobile Technologies and Call Detail Records Data for Public Health in the East African Region: Scoping Review.

Authors:  Juliet Nabbuye Sekandi; Kenya Murray; Corinne Berryman; Paula Davis-Olwell; Caroline Hurst; Robert Kakaire; Noah Kiwanuka; Christopher C Whalen; Erisa Sabakaki Mwaka
Journal:  Interact J Med Res       Date:  2022-06-02

7.  CareConekta: study protocol for a randomized controlled trial of a mobile health intervention to improve engagement in postpartum HIV care in South Africa.

Authors:  Kate Clouse; Tamsin K Phillips; Carol Camlin; Sandisiwe Noholoza; Phepo Mogoba; Julian Naidoo; Richard Langford; Martin Weiss; Christopher J Seebregts; Landon Myer
Journal:  Trials       Date:  2020-03-12       Impact factor: 2.279

8.  Assessing mobile health feasibility and acceptability among HIV-infected cocaine users and their healthcare providers: guidance for implementing an intervention.

Authors:  Shan-Estelle Brown; Archana Krishnan; Yerina S Ranjit; Ruthanne Marcus; Frederick L Altice
Journal:  Mhealth       Date:  2020-01-05

9.  Use of an electronic Partograph: feasibility and acceptability study in Zanzibar, Tanzania.

Authors:  Lindsay Elizabeth Litwin; Christina Maly; Asma Ramadan Khamis; Cyndi Hiner; Jérémie Zoungrana; Khadija Mohamed; Mary Drake; Michael Machaku; Mustafa Njozi; Salhiya Ali Muhsin; Yusuph K Kulindwa; Patricia P Gomez
Journal:  BMC Pregnancy Childbirth       Date:  2018-05-09       Impact factor: 3.007

10.  Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities.

Authors:  Ramnath Subbaraman; Laura de Mondesert; Angella Musiimenta; Madhukar Pai; Kenneth H Mayer; Beena E Thomas; Jessica Haberer
Journal:  BMJ Glob Health       Date:  2018-10-11
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