2. Baines D, Gahir IK, Hussain A, Khan AJ, Schneider P, Hasan SS, et al. A scoping review of the quality and the design of evaluations of mobile health, telehealth, smart pump and monitoring technologies performed in a pharmacy-related setting. Front Pharmacol. 2018; 9:678.
Article
3. Titilayo OD, Okanlawon FA. Assessment of mobile health nursing intervention knowledge among community health nurses in Oyo State, Nigeria. Afr J Med Med Sci. 2014; 43(Suppl 1):147–55.
4. Tran BX, Le XT, Nguyen PN, Le QN, Mai HT, Nguyen HL, et al. Feasibility of e-health interventions on smoking cessation among vietnamese active internet users. Int J Environ Res Public Health. 2018; 15(1):165.
Article
5. Bacigalupe G, Askari SF. E-Health innovations, collaboration, and healthcare disparities: developing criteria for culturally competent evaluation. Fam Syst Health. 2013; 31(3):248–63.
Article
6. Celes RS, Rossi TR, de Barros SG, Santos CM, Cardoso C. Telehealth as state response strategy: systematic review. Rev Panam Salud Publica. 2018; 42:e84.
7. Gholamhosseini L, Ayatollahi H. The design and application of an e-health readiness assessment tool. Health Inf Manag. 2017; 46(1):32–41.
Article
8. Bernardes AC, Coimbra LC, Serra HO. Use of telehealth as a tool to support continuing health education. Rev Panam Salud Publica. 2018; 42:e134.
9. Raiha T, Tossavainen K, Enkenberg J, Turunen H. Implementation of an ICT-based learning environment in a nutrition health project. Health Educ. 2012; 112(3):217–35.
10. Solli H, Bjork IT, Hvalvik S, Helleso R. Like an extended family: relationships that emerge when older caregivers use written messages to communicate in an ICT-based healthcare service. Inform Health Soc Care. 2018; 43(2):207–17.
Article
11. Ministry of Health and Social Affairs. Vision for eHealth 2025: common starting points for digitisation of social services and health care [Internet]. Stockholm, Sweden: Ministry of Health and Social Affairs;2016.
12. Mattsson S, Olsson EM, Carlsson M, Johansson BB. Identification of anxiety and depression symptoms in patients with cancer: comparison between short and long web-based questionnaires. J Med Internet Res. 2019; 21(4):e11387.
Article
13. Gund A, Lindecrantz K, Schaufelberger M, Patel H, Sjoqvist BA. Attitudes among healthcare professionals towards ICT and home follow-up in chronic heart failure care. BMC Med Inform Decis Mak. 2012; 12:138.
Article
14. Oh H, Rizo C, Enkin M, Jadad A. What is eHealth (3): a systematic review of published definitions. J Med Internet Res. 2005; 7(1):e1.
Article
15. Skar L, Soderberg S. The importance of ethical aspects when implementing eHealth services in healthcare: a discussion paper. J Adv Nurs. 2018; 74(5):1043–50.
Article
16. Apolinario-Hagen J, Fritsche L, Bierhals C, Salewski C. Improving attitudes toward e-mental health services in the general population via psychoeducational information material: a randomized controlled trial. Internet Interv. 2018; 12:141–9.
17. Oberg U, Orre CJ, Isaksson U, Schimmer R, Larsson H, Hornsten A. Swedish primary healthcare nurses’ perceptions of using digital eHealth services in support of patient self-management. Scand J Caring Sci. 2018; 32(2):961–70.
Article
18. Stroetmann VN, Kalra D, Lewalle P, Rector A, Rodrigues JM, Stroetmann KA, et al. Semantic interoperability for better health and safer healthcare-deployment and research roadmap for Europe. Brussels, Belgium: European Communities;2009.
19. Zhao X, Li X, Yang W, Feng Q, Zhou Y, Wang Q. Primary health information standard system based on semantic interoperability. BMC Med Inform Decis Mak. 2018; 18(Suppl 5):112.
Article
20. Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J. 2009; 26(2):91–108.
Article
23. Bailey KD. A three-level measurement model. Qual Quant. 1984; 18(3):225–45.
Article
24. Bailey KD. Philosophical foundations of sociological measurement: a note on the three level model. Qual Quant. 1986; 20(4):327–37.
Article
25. Kjellstrom S, Golino H. Mining concepts of health responsibility using text mining and exploratory graph analysis. Scand J Occup Ther. 2019; 26(6):395–410.
26. Galili T. Dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering. Bioinformatics. 2015; 31(22):3718–20.
Article
27. Mandujano S. Analysis and trends of photo-trapping in Mexico: text mining in R. Therya. 2019; 10(1):25–32.
Article
28. Al-Ozairi E, Ridge K, Taghadom E, de Zoysa N, Tucker C, Stewart K, et al. Diabetes and TelecommunicationS (DATES) study to support self-management for people with type 2 diabetes: a randomized controlled trial. BMC Public Health. 2018; 18(1):1249.
Article
29. Han HR, Hong H, Starbird LE, Ge S, Ford AD, Renda S, et al. eHealth literacy in people living with HIV: systematic review. JMIR Public Health Surveill. 2018; 4(3):e64.
Article
32. Ilozumba O, Dieleman M, Kraamwinkel N, Van Belle S, Chaudoury M, Broerse JE. “I am not telling. The mobile is telling”: factors influencing the outcomes of a community health worker mHealth intervention in India. PLoS One. 2018; 13(3):e0194927.
Article
33. Phillips JL, Heneka N, Lovell M, Lam L, Davidson P, Boyle F, et al. A phase III wait-listed randomised controlled trial of novel targeted inter-professional clinical education intervention to improve cancer patients’ reported pain outcomes (The Cancer Pain Assessment (CPAS) Trial): study protocol. Trials. 2019; 20(1):62.
Article
34. Nelissen HE, Cremers AL, Okwor TJ, Kool S, van Leth F, Brewster L, et al. Pharmacy-based hypertension care employing mHealth in Lagos, Nigeria: a mixed methods feasibility study. BMC Health Serv Res. 2018; 18(1):934.
Article
38. Chagas CM, Pontes E, Silva TB, Reffatti LM, Botelho RB, Toral N. Rango Cards, a digital game designed to promote a healthy diet: a randomized study protocol. BMC Public Health. 2018; 18(1):910.
Article
40. Lupianez-Villanueva F, Anastasiadou D, Codagnone C, Nuno-Solinis R, Garcia-Zapirain Soto MB. Electronic health use in the European Union and the effect of multimorbidity: cross-sectional survey. J Med Internet Res. 2018; 20(5):e165.
Article
41. Samerski S. Individuals on alert: digital epidemiology and the individualization of surveillance. Life Sci Soc Policy. 2018; 14(1):13.
Article
42. Malasinghe LP, Ramzan N, Dahal K. Remote patient monitoring: a comprehensive study. J Ambient Intell Humaniz Comput. 2019; 10(1):57–76.
Article
43. Zielinski B, Iwanowski M. Tree-based binary image dissimilarity measure with meta-heuristic optimization. Pattern Anal Appl. 2016; 19(1):1–10.
44. Glinkowski WM, Karlinska M, Karlinski M, Krupinski EA. Telemedicine and eHealth in Poland from 1995 to 2015. Adv Clin Exp Med. 2018; 27(2):277–82.
Article