Skip to main content
Erschienen in: AIDS and Behavior 11/2017

18.04.2017 | Original Paper

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

verfasst von: Jeffrey I. Campbell, Isaac Aturinda, Evans Mwesigwa, Bridget Burns, Data Santorino, Jessica E. Haberer, David R. Bangsberg, Richard J. Holden, Norma C. Ware, Mark J. Siedner

Erschienen in: AIDS and Behavior | Ausgabe 11/2017

Einloggen, um Zugang zu erhalten

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.
Literatur
2.
Zurück zum Zitat Qiang CZYM, Hausman V, Altman D. Mobile applications for the health sector. Washington: World Bank; 2011. Qiang CZYM, Hausman V, Altman D. Mobile applications for the health sector. Washington: World Bank; 2011.
3.
Zurück zum Zitat Campbell JI, Haberer JE. Cell phone-based and adherence device technologies for HIV care and treatment in resource-limited settings: recent advances. Curr HIV/AIDS Rep. 2015;12(4):523–31.CrossRefPubMed Campbell JI, Haberer JE. Cell phone-based and adherence device technologies for HIV care and treatment in resource-limited settings: recent advances. Curr HIV/AIDS Rep. 2015;12(4):523–31.CrossRefPubMed
5.
Zurück zum Zitat Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR. Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting. AIDS Behav. 2010;14(6):1294–301.CrossRefPubMedPubMedCentral Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR. Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting. AIDS Behav. 2010;14(6):1294–301.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Chib A, van Velthoven MH, Car J. mHealth adoption in low-resource environments: a review of the use of mobile healthcare in developing countries. J Health Commun. 2015;20(1):4–34.CrossRefPubMed Chib A, van Velthoven MH, Car J. mHealth adoption in low-resource environments: a review of the use of mobile healthcare in developing countries. J Health Commun. 2015;20(1):4–34.CrossRefPubMed
7.
Zurück zum Zitat Chaiyachati KH, Loveday M, Lorenz S, et al. A pilot study of an mHealth application for healthcare workers: poor uptake despite high reported acceptability at a rural South African community-based MDR-TB treatment program. PLoS One. 2013;8(5):e64662.CrossRefPubMedPubMedCentral Chaiyachati KH, Loveday M, Lorenz S, et al. A pilot study of an mHealth application for healthcare workers: poor uptake despite high reported acceptability at a rural South African community-based MDR-TB treatment program. PLoS One. 2013;8(5):e64662.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Briscoe C, Aboud F. Behaviour change communication targeting four health behaviours in developing countries: a review of change techniques. Soc Sci Med. 2012;75(4):612–21.CrossRefPubMed Briscoe C, Aboud F. Behaviour change communication targeting four health behaviours in developing countries: a review of change techniques. Soc Sci Med. 2012;75(4):612–21.CrossRefPubMed
9.
Zurück zum Zitat Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010;43(1):159–72.CrossRefPubMed Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010;43(1):159–72.CrossRefPubMed
10.
Zurück zum Zitat Venkatesh V, Morris M, Davis G, Davis F. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78. Venkatesh V, Morris M, Davis G, Davis F. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78.
11.
Zurück zum Zitat Venkatesh V, Davis F. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci. 1997;46(2):186–204.CrossRef Venkatesh V, Davis F. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci. 1997;46(2):186–204.CrossRef
12.
Zurück zum Zitat Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40.CrossRef Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40.CrossRef
13.
Zurück zum Zitat Venkatesh V, Davis FD. A model of the antecedents of perceived ease of use: development and test*. Decis Sci. 1996;27(3):451–81.CrossRef Venkatesh V, Davis FD. A model of the antecedents of perceived ease of use: development and test*. Decis Sci. 1996;27(3):451–81.CrossRef
14.
Zurück zum Zitat Turner M, Kitchenham B, Brereton P, Charters S, Budgen D. Does the technology acceptance model predict actual use? A systematic literature review. Inf Softw Technol. 2010;52(5):463–79.CrossRef Turner M, Kitchenham B, Brereton P, Charters S, Budgen D. Does the technology acceptance model predict actual use? A systematic literature review. Inf Softw Technol. 2010;52(5):463–79.CrossRef
15.
Zurück zum Zitat Davis FD, Bagozzi RP, Warshaw PR. Extrinsic and intrinsic motivation to use computers in the workplace. J Appl Soc Psychol. 1992;22(14):1111–32.CrossRef Davis FD, Bagozzi RP, Warshaw PR. Extrinsic and intrinsic motivation to use computers in the workplace. J Appl Soc Psychol. 1992;22(14):1111–32.CrossRef
16.
Zurück zum Zitat Venkatesh V, Speier C, Morris MG. User acceptance enablers in individual decision making about technology: toward an integrated model. Decis Sci. 2002;33(2):297–316.CrossRef Venkatesh V, Speier C, Morris MG. User acceptance enablers in individual decision making about technology: toward an integrated model. Decis Sci. 2002;33(2):297–316.CrossRef
17.
Zurück zum Zitat Morris MG, Venkatesh V. Age differences in technology adoption decisions: implications for a changing work force. Pers Psychol. 2000;53(2):375–403.CrossRef Morris MG, Venkatesh V. Age differences in technology adoption decisions: implications for a changing work force. Pers Psychol. 2000;53(2):375–403.CrossRef
18.
Zurück zum Zitat Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci. 2000;46(2):186–204.CrossRef Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci. 2000;46(2):186–204.CrossRef
19.
Zurück zum Zitat Venkatesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions. Decis Sci. 2008;39(2):273–315.CrossRef Venkatesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions. Decis Sci. 2008;39(2):273–315.CrossRef
20.
Zurück zum Zitat Venkatesh V, Thong J, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 2012;36(1):157–78. Venkatesh V, Thong J, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 2012;36(1):157–78.
21.
Zurück zum Zitat Hoque MR. An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern. BMC Med Inform Decis Mak. 2016;16(1):51.CrossRefPubMedPubMedCentral Hoque MR. An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern. BMC Med Inform Decis Mak. 2016;16(1):51.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Lee Y, Kozar KA, Larsen KRT. The technology acceptance model: past, present, and future. Commun Assoc Inf Syst. 2003;12:50. Lee Y, Kozar KA, Larsen KRT. The technology acceptance model: past, present, and future. Commun Assoc Inf Syst. 2003;12:50.
23.
Zurück zum Zitat Horvath KJ, Alemu D, Danh T, Baker JV, Carrico AW. Creating effective mobile phone apps to optimize antiretroviral therapy adherence: perspectives from stimulant-using HIV-positive men who have sex with men. JMIR mHealth uHealth. 2016;4(2):e48.CrossRefPubMedPubMedCentral Horvath KJ, Alemu D, Danh T, Baker JV, Carrico AW. Creating effective mobile phone apps to optimize antiretroviral therapy adherence: perspectives from stimulant-using HIV-positive men who have sex with men. JMIR mHealth uHealth. 2016;4(2):e48.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat van Heerden A, Norris S, Tollman S, Richter L, Rotheram-Borus MJ. Collecting maternal health information from HIV-positive pregnant women using mobile phone-assisted face-to-face interviews in Southern Africa. J Med Internet Res. 2013;15(6):e116.CrossRefPubMedPubMedCentral van Heerden A, Norris S, Tollman S, Richter L, Rotheram-Borus MJ. Collecting maternal health information from HIV-positive pregnant women using mobile phone-assisted face-to-face interviews in Southern Africa. J Med Internet Res. 2013;15(6):e116.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Cenfetelli R. Inhibitors and enablers as dual factor concepts in technology usage. J Assoc Inf Syst. 2004;5(11):16. Cenfetelli R. Inhibitors and enablers as dual factor concepts in technology usage. J Assoc Inf Syst. 2004;5(11):16.
26.
Zurück zum Zitat Brown S, Fuller R, Vician C. Who’s afraid of the virtual world? Anxiety and computer-mediated communication. J Assoc Inf Syst. 2004;4(2):2. Brown S, Fuller R, Vician C. Who’s afraid of the virtual world? Anxiety and computer-mediated communication. J Assoc Inf Syst. 2004;4(2):2.
27.
Zurück zum Zitat Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health. 2014;14:188.CrossRefPubMedPubMedCentral Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health. 2014;14:188.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Catalani C, Philbrick W, Fraser H, Mechael P, Israelski DM. mHealth for HIV treatment and prevention: a systematic review of the literature. Open AIDS J. 2013;7:17–41.CrossRefPubMedPubMedCentral Catalani C, Philbrick W, Fraser H, Mechael P, Israelski DM. mHealth for HIV treatment and prevention: a systematic review of the literature. Open AIDS J. 2013;7:17–41.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Siedner MJ, Haberer JE, Bwana MB, Ware NC, Bangsberg DR. High acceptability for cell phone text messages to improve communication of laboratory results with HIV-infected patients in rural Uganda: a cross-sectional survey study. BMC Med Inform Decis Mak. 2012;12:56.CrossRefPubMedPubMedCentral Siedner MJ, Haberer JE, Bwana MB, Ware NC, Bangsberg DR. High acceptability for cell phone text messages to improve communication of laboratory results with HIV-infected patients in rural Uganda: a cross-sectional survey study. BMC Med Inform Decis Mak. 2012;12:56.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Siedner MJ, Santorino D, Haberer JE, Bangsberg DR. Know your audience: predictors of success for a patient-centered texting app to augment linkage to HIV care in rural Uganda. J Med Internet Res. 2015;17(3):e78.CrossRefPubMedPubMedCentral Siedner MJ, Santorino D, Haberer JE, Bangsberg DR. Know your audience: predictors of success for a patient-centered texting app to augment linkage to HIV care in rural Uganda. J Med Internet Res. 2015;17(3):e78.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Siedner MJ, Santorino D, Lankowski AJ, et al. A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study. BMC Med. 2015;13:160.CrossRefPubMedPubMedCentral Siedner MJ, Santorino D, Lankowski AJ, et al. A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study. BMC Med. 2015;13:160.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.CrossRefPubMed Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.CrossRefPubMed
33.
Zurück zum Zitat Schnall R, Bakken S. Testing the technology acceptance model: hIV case managers’ intention to use a continuity of care record with context-specific links. Inf Health Soc Care. 2011;36(3):161–72.CrossRef Schnall R, Bakken S. Testing the technology acceptance model: hIV case managers’ intention to use a continuity of care record with context-specific links. Inf Health Soc Care. 2011;36(3):161–72.CrossRef
34.
Zurück zum Zitat Lai TY, Larson EL, Rockoff ML, Bakken S. User acceptance of HIV TIDES–tailored interventions for management of depressive symptoms in persons living with HIV/AIDS. J Am Med Inf Assoc. 2008;15(2):217–26.CrossRef Lai TY, Larson EL, Rockoff ML, Bakken S. User acceptance of HIV TIDES–tailored interventions for management of depressive symptoms in persons living with HIV/AIDS. J Am Med Inf Assoc. 2008;15(2):217–26.CrossRef
35.
Zurück zum Zitat Brown W 3rd, Yen PY, Rojas M, Schnall R. Assessment of the health IT usability evaluation model (Health-ITUEM) for evaluating mobile health (mHealth) technology. J Biomed Inform. 2013;46(6):1080–7.CrossRefPubMed Brown W 3rd, Yen PY, Rojas M, Schnall R. Assessment of the health IT usability evaluation model (Health-ITUEM) for evaluating mobile health (mHealth) technology. J Biomed Inform. 2013;46(6):1080–7.CrossRefPubMed
36.
Zurück zum Zitat Mohamed AHHM, Tawfik H, Al-Jumeily D, Norton L. MoHTAM: a technology acceptance model for mobile health applications. Paper presented at: Developments in E-systems Engineering (DeSE); 2011. Mohamed AHHM, Tawfik H, Al-Jumeily D, Norton L. MoHTAM: a technology acceptance model for mobile health applications. Paper presented at: Developments in E-systems Engineering (DeSE); 2011.
37.
Zurück zum Zitat Chang LW, Njie-Carr V, Kalenge S, Kelly JF, Bollinger RC, Alamo-Talisuna S. Perceptions and acceptability of mHealth interventions for improving patient care at a community-based HIV/AIDS clinic in Uganda: a mixed methods study. AIDS Care. 2013;25(7):874–80.CrossRefPubMedPubMedCentral Chang LW, Njie-Carr V, Kalenge S, Kelly JF, Bollinger RC, Alamo-Talisuna S. Perceptions and acceptability of mHealth interventions for improving patient care at a community-based HIV/AIDS clinic in Uganda: a mixed methods study. AIDS Care. 2013;25(7):874–80.CrossRefPubMedPubMedCentral
38.
Zurück zum Zitat Safren SA, Kumarasamy N, Hosseinipour M, et al. Perceptions about the acceptability of assessments of HIV medication adherence in Lilongwe, Malawi and Chennai, India. AIDS Behav. 2006;10(4):443–50.CrossRefPubMed Safren SA, Kumarasamy N, Hosseinipour M, et al. Perceptions about the acceptability of assessments of HIV medication adherence in Lilongwe, Malawi and Chennai, India. AIDS Behav. 2006;10(4):443–50.CrossRefPubMed
39.
Zurück zum Zitat Chan BT, Weiser SD, Boum Y, et al. Persistent HIV-related stigma in rural Uganda during a period of increasing HIV incidence despite treatment expansion. Aids. 2015;29(1):83–90.CrossRefPubMedPubMedCentral Chan BT, Weiser SD, Boum Y, et al. Persistent HIV-related stigma in rural Uganda during a period of increasing HIV incidence despite treatment expansion. Aids. 2015;29(1):83–90.CrossRefPubMedPubMedCentral
40.
Zurück zum Zitat Valdez RS, Holden RJ, Novak LL, Veinot TC. Transforming consumer health informatics through a patient work framework: connecting patients to context. J Am Med Inform Assoc. 2015;22(1):2–10.PubMed Valdez RS, Holden RJ, Novak LL, Veinot TC. Transforming consumer health informatics through a patient work framework: connecting patients to context. J Am Med Inform Assoc. 2015;22(1):2–10.PubMed
41.
Zurück zum Zitat Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM, Bimirew MA, Kassie DM. Barriers and facilitators of adherence to antiretroviral drug therapy and retention in care among adult HIV-positive patients: a qualitative study from Ethiopia. PLoS One. 2014;9(5):e97353.CrossRefPubMedPubMedCentral Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM, Bimirew MA, Kassie DM. Barriers and facilitators of adherence to antiretroviral drug therapy and retention in care among adult HIV-positive patients: a qualitative study from Ethiopia. PLoS One. 2014;9(5):e97353.CrossRefPubMedPubMedCentral
42.
Zurück zum Zitat Dahab M, Charalambous S, Hamilton R, et al. “That is why I stopped the ART”: patients’ and providers’ perspectives on barriers to and enablers of HIV treatment adherence in a South African workplace programme. BMC Public Health. 2008;8:63.CrossRefPubMedPubMedCentral Dahab M, Charalambous S, Hamilton R, et al. “That is why I stopped the ART”: patients’ and providers’ perspectives on barriers to and enablers of HIV treatment adherence in a South African workplace programme. BMC Public Health. 2008;8:63.CrossRefPubMedPubMedCentral
43.
Zurück zum Zitat Schnall R, Higgins T, Brown W, Carballo-Dieguez A, Bakken S. Trust, perceived risk, perceived ease of use and perceived usefulness as factors related to mHealth technology use. Stud Health Technol Inform. 2015;216:467–71.PubMedPubMedCentral Schnall R, Higgins T, Brown W, Carballo-Dieguez A, Bakken S. Trust, perceived risk, perceived ease of use and perceived usefulness as factors related to mHealth technology use. Stud Health Technol Inform. 2015;216:467–71.PubMedPubMedCentral
44.
Zurück zum Zitat Tuller DM, Bangsberg DR, Senkungu J, Ware NC, Emenyonu N, Weiser SD. Transportation costs impede sustained adherence and access to HAART in a clinic population in southwestern Uganda: a qualitative study. AIDS Behav. 2010;14(4):778–84.CrossRefPubMed Tuller DM, Bangsberg DR, Senkungu J, Ware NC, Emenyonu N, Weiser SD. Transportation costs impede sustained adherence and access to HAART in a clinic population in southwestern Uganda: a qualitative study. AIDS Behav. 2010;14(4):778–84.CrossRefPubMed
45.
Zurück zum Zitat Mills EJ, Nachega JB, Bangsberg DR, et al. Adherence to HAART: a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006;3(11):e438.CrossRefPubMedPubMedCentral Mills EJ, Nachega JB, Bangsberg DR, et al. Adherence to HAART: a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006;3(11):e438.CrossRefPubMedPubMedCentral
46.
Zurück zum Zitat Siedner MJ, Lankowski A, Tsai AC, et al. GPS-measured distance to clinic, but not self-reported transportation factors, are associated with missed HIV clinic visits in rural Uganda. Aids. 2013;27(9):1503–8.CrossRefPubMedPubMedCentral Siedner MJ, Lankowski A, Tsai AC, et al. GPS-measured distance to clinic, but not self-reported transportation factors, are associated with missed HIV clinic visits in rural Uganda. Aids. 2013;27(9):1503–8.CrossRefPubMedPubMedCentral
47.
Zurück zum Zitat Lankowski AJ, Siedner MJ, Bangsberg DR, Tsai AC. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014;18(7):1199–223.CrossRefPubMedPubMedCentral Lankowski AJ, Siedner MJ, Bangsberg DR, Tsai AC. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014;18(7):1199–223.CrossRefPubMedPubMedCentral
48.
Zurück zum Zitat Duff P, Kipp W, Wild TC, Rubaale T, Okech-Ojony J. Barriers to accessing highly active antiretroviral therapy by HIV-positive women attending an antenatal clinic in a regional hospital in western Uganda. J Int AIDS Soc. 2010;13:37.CrossRefPubMedPubMedCentral Duff P, Kipp W, Wild TC, Rubaale T, Okech-Ojony J. Barriers to accessing highly active antiretroviral therapy by HIV-positive women attending an antenatal clinic in a regional hospital in western Uganda. J Int AIDS Soc. 2010;13:37.CrossRefPubMedPubMedCentral
49.
Zurück zum Zitat Holden RJ. What stands in the way of technology-mediated patient safety improvements?: a study of facilitators and barriers to physicians’ use of electronic health records. J Patient Saf. 2011;7(4):193–203.CrossRefPubMedPubMedCentral Holden RJ. What stands in the way of technology-mediated patient safety improvements?: a study of facilitators and barriers to physicians’ use of electronic health records. J Patient Saf. 2011;7(4):193–203.CrossRefPubMedPubMedCentral
50.
Zurück zum Zitat Delone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. J Manag Inform Syst. 2003;19(4):9–30.CrossRef Delone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. J Manag Inform Syst. 2003;19(4):9–30.CrossRef
51.
Zurück zum Zitat Holden RJ, Brown RL, Scanlon MC, Karsh BT. Modeling nurses’ acceptance of bar coded medication administration technology at a pediatric hospital. J Am Med Inform Assoc. 2012;19(6):1050–8.CrossRefPubMedPubMedCentral Holden RJ, Brown RL, Scanlon MC, Karsh BT. Modeling nurses’ acceptance of bar coded medication administration technology at a pediatric hospital. J Am Med Inform Assoc. 2012;19(6):1050–8.CrossRefPubMedPubMedCentral
52.
Zurück zum Zitat Kingori P. Experiencing everyday ethics in context: frontline data collectors perspectives and practices of bioethics. Soc Sci Med. 2013;98:361–70.CrossRefPubMedPubMedCentral Kingori P. Experiencing everyday ethics in context: frontline data collectors perspectives and practices of bioethics. Soc Sci Med. 2013;98:361–70.CrossRefPubMedPubMedCentral
53.
Zurück zum Zitat Muessig KE, Nekkanti M, Bauermeister J, Bull S, Hightow-Weidman LB. A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care. Curr HIV/AIDS Rep. 2015;12(1):173–90.CrossRefPubMedPubMedCentral Muessig KE, Nekkanti M, Bauermeister J, Bull S, Hightow-Weidman LB. A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care. Curr HIV/AIDS Rep. 2015;12(1):173–90.CrossRefPubMedPubMedCentral
54.
Zurück zum Zitat Mitchell JW, Torres MB, Joe J, Danh T, Gass B, Horvath KJ. Formative work to develop a tailored HIV testing smartphone app for diverse, at-risk, HIV-negative men who have sex with men: a focus group study. JMIR mHealth uHealth. 2016;4(4):e128.CrossRefPubMedPubMedCentral Mitchell JW, Torres MB, Joe J, Danh T, Gass B, Horvath KJ. Formative work to develop a tailored HIV testing smartphone app for diverse, at-risk, HIV-negative men who have sex with men: a focus group study. JMIR mHealth uHealth. 2016;4(4):e128.CrossRefPubMedPubMedCentral
55.
Zurück zum Zitat Goldenberg T, McDougal JS, Sullivan SP, Stekler DJ, Stephenson R. Preferences for a mobile HIV prevention app for men who have sex with men. JMIR mHealth uHealth. 2014;2(4):e47.CrossRefPubMedPubMedCentral Goldenberg T, McDougal JS, Sullivan SP, Stekler DJ, Stephenson R. Preferences for a mobile HIV prevention app for men who have sex with men. JMIR mHealth uHealth. 2014;2(4):e47.CrossRefPubMedPubMedCentral
Metadaten
Titel
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
verfasst von
Jeffrey I. Campbell
Isaac Aturinda
Evans Mwesigwa
Bridget Burns
Data Santorino
Jessica E. Haberer
David R. Bangsberg
Richard J. Holden
Norma C. Ware
Mark J. Siedner
Publikationsdatum
18.04.2017
Verlag
Springer US
Erschienen in
AIDS and Behavior / Ausgabe 11/2017
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-017-1765-y

Weitere Artikel der Ausgabe 11/2017

AIDS and Behavior 11/2017 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.