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Shahbodaghi A, Asadi F, Almasi S, Gavili Kilaneh N. Electronic Health Technologies and Thematic Scopes of the Interventional Studies in Asthma: A Study based on PubMed. Health Educ Health Promot 2022; 10 (3) :497-508
URL: http://hehp.modares.ac.ir/article-5-58027-en.html
1- Department of Medical Library and Information Science, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Department of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
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Introduction
In today's world, information and communication technologies have undeniably affected human life with their increasing changes so that no dimension of individual and social life has been deprived of its effects. One of the essential aspects of human life affected by the growth and development of information and communication technologies is the health area. Information and communication technologies play a vital role in improving the health care of individuals and communities. These technologies facilitate communication between providers and recipients of health care services by providing innovative and effective routes for accessing, exchanging, and storing information. They also help health researchers and consumers with their research results. In addition, information and communication technologies can enhance the efficiency of health systems and reduce medical errors [1]. The influence of information and communication technologies in the health area has led to the formation of an attractive and concise concept, at the same time huge, called Electronic Health [2]. A concept that some consider ambiguous and others as expanding [3]. Organizations and sources have provided several definitions of e-health [4-7], as shown in a review study that up to 2005 had 51 different meanings of e-health in the literature [8]. Despite this multiplicity, the common denominator of all e-health definitions is the emphasis on the safe and cost-effective use of information and communication technologies to support healthcare and related areas.
E-health covers interactions between patients and health care providers, data transfers between healthcare providers, and peer-to-peer communication between patients and health professionals. Besides, health information networks, e-health records, telemedicine services, portable or wearable personal health systems, and other information and communication technology-based tools used in the prevention, diagnosis, treatment, and follow-up of diseases are examples of e-health benefits. Also, providing health information to health professionals and customers through the Internet and telecommunications technologies, harnessing the power of information technology and e-commerce to improve public health services, and using e-commerce and e-business capacity in management information systems are other benefits of e-health. E-health can help shape broader communication networks between healthcare providers, patients, and health researchers by providing innovative and effective ways to store, access, and exchange information. E-health can help shape broader communication networks between healthcare providers, patients, and health researchers by providing innovative and effective ways to store, access, and exchange information. In addition, organizational changes in health care systems will lead to the formation of new skills to improve citizens' health, improve the efficiency and productivity of health care services, and increase the economic and social value of health [3, 8-10].
Asthma is a chronic lung disease that occurs in all age groups but is usually common in children, and its onset date back to childhood [11]. The disease is difficult to diagnose and treat. Asthma affected an estimated 262 million people in 2019 and caused 461000 deaths [12]. Moreover, asthma was responsible for 21·6 million disability-adjusted life years (DALYs) in 2019 [13]. Although most asthma mortality occurs in low-and lower-income countries, asthma is a public health problem in all countries today, regardless of income and development. Studies indicate an increasing prevalence of asthma and the economic burden of the disease worldwide [14-17]; therefore, the prevention and control of this disease, in addition to promoting global health, will reduce the economic costs of this disease. Researchers' findings confirm that the use of e-health beneficially affects the control and management of this disease [18-20].
By searching the databases, especially PubMed, it can be found that in some interventional studies in the field of asthma, e-health technologies have been used. The present study aimed to determine the type of e-health technologies by quality thematic analysis method, as well as to determine the thematic scope of intervention studies in the field of asthma based on the PubMed database in the period 2000 to 2018. Furthermore, using scientometric techniques, the process of science production in the mentioned field is determined, and the contribution of countries in the production of these articles is examined.

Information and Methods
The present study was carried out using scientometric and thematic analysis techniques.
This scientometric review research used PubMed as the largest database of published biomedical literature. The keywords of the two concepts of “asthma” and “e-health” were first identified to reach the research community using language control tools and referring to texts. Table 1 shows the equivalent terms of each concept along with the tags used. It should be noted that utilizing an asterisk sign following a few words is to cover different derivatives of them.
Then, the above two formulas were combined with the “AND” operator and the original formula was created and searched on 20/10/2019.
Considering that the purpose of this study is to investigate e-health interventions, in terms of the type of study, the retrieved articles were limited to Interventional studies i.e. Clinical trials. Also, the date of publication was limited to the period 2000 to 2018. Because this research required content analysis and it was necessary to examine some articles in full text, the research team, decided to limit the research population to English language articles.
After the mentioned restrictions were imposed, Four hundred and fifty-two articles were obtained. By examining the title, abstract, and in some cases the full text of the articles, the research population was limited to those articles that had somehow used e-health technologies to intervene in asthma. Eventually, 102 articles [21-123] were identified as eligible for research and reviewed for data extraction.
The extracted data were: the publication year of the articles, type of e-health technology used in the intervention, thematic scope of the intervention, age group of the patients on whom the intervention was performed, and the countries of the corresponding author and the first author of the articles. One hundred two articles were analyzed and indexed by a 3-member team to determine the thematic scope of the intervention and the type of e-health technology used in the intervention. It should be noted that in some cases, the controlled language of American Medical Subject Headings (MeSH) was used for indexing, but in cases where the MeSH was not responsive, the natural language was used. Then, the keywords extracted from the texts were controlled by a 3-member team. It should be noted that in the classification of electronic health technologies as well as the thematic scopes of asthma, an attempt was made to choose the categories in such a way that no intervention was neglected. For example, although some text messaging technologies belong under the reminder systems category, both technologies were chosen as the major category, and some studies inevitably fell into both categories.

Table 1) The equivalent terms of each concept in the formula


Findings
The findings are presented in Figure 1 to determine the publication trends of 102 articles. As Figure 1 shows, the highest number of articles is in 2012 and 2016. In order to show which electronic health technologies have been used to intervene in various areas related to asthma in the studies, the findings are set out in Table 2.
Seventeen categories of electronic health technology were identified by analyzing the content of 102 articles, which were used to intervene in various areas related to asthma. The findings indicate that web-based systems (in 40 studies) were at the forefront of the technologies used to intervene in the studies. “Asthma control”, “self-management” and “patient monitoring” are the thematic scopes of asthma that account for the largest share of these intervention studies, respectively. The technology of sending and receiving text messaging (in 15 studies) is ranked second among the technologies used in the examined interventional studies. The findings showed that this technology has been mostly used to perform interventions in the thematic scopes of “medication adherence”, “asthma control” and “patient monitoring”. The third rank of technologies that have been used in the studies belongs to the mobile application (in 14 studies) that has been mostly used for “Asthma control” and “medication adherence”. Voice-call technologies have been used in 12 studies, more for “asthma control” and “patient assessment”. Also, Reminder systems have been used in 12 studies. “Medication adherence” is the prominent thematic scope of these studies.
The data are presented in Table 3 to show in which thematic scope of asthma, the most e-health interventions have been performed.


Figure 1) Publication trends of the articles

Table 2) Type of e-health technology used in the intervention


Continue of Table 2) Type of e-health technology used in the intervention


As shown in table 3, the highest number of interventions occurred in the control of asthma (in 37 studies), followed by patient adherence to medication (in 22 studies), self-management (in 18 studies), and patient education (in 17 studies).
Children were studied in 33 studies, Adolescents in 24 studies, and adults in 51 studies, according to the findings of the study on the age range of the study population in the articles.
The researchers' findings on the countries of the corresponding authors or the first authors of the articles are also shown in Figure 2.
As shown in Figure 2, the United States has the highest share (45% of cases) among the countries of the first or the corresponding authors for the articles reviewed, followed by the United Kingdom (14%) and the Netherlands (11%), respectively.
Further studies by researchers have shown that in the list of countries of the authors, regardless of the position of the author, the United States with the production of 50 articles (49%) is ranked first, followed by the United Kingdom with 16 articles (15.69%), the Netherlands with 12 articles (11.76%), and Australia with ten articles (9.8%).

Table 3) Thematic scopes of the interventions in the articles



Figure 2) Countries of the first authors and the corresponding authors of the articles


Discussion
Asthma is a chronic respiratory disease whose increasing prevalence has imposed many economic and social burdens on societies around the globe [14-17]. E-health is a set of Internet-based technologies used in healthcare services to improve the quality of life and facilitate providing healthcare services [124]. In addition, it can be a valuable way to prevent, diagnose and treat this disease and reduce the global burden of this disease. In this study, in the period 2000 to 2018, 102 interventional studies were found in the PubMed database, which in a way, used e-health technologies in asthma. In this study, an attempt was made to determine e-health technologies, thematic domains, and some scientometric features of these interventional studies by reviewing these 102 articles.
According to the research results, with slight negligence, it can be said that the trend of publishing 102 articles, despite many ups and downs, has been a growing trend. These results may confirm that asthma researchers have recognized the value of using e-health technology as a valuable intervention tool. Alotaibi et al. have shown in their study that e-health technology is an essential tool for improving the quality of health care and patient safety [125]. Talboom-Kamp et al. have also shown in their research that e-health solutions can increase the quality of life and reduce the cost of care [126].
Elliott et al. have also argued that telemedicine, as a form of e-health, increases access to care, improves health outcomes, reduces medical costs, makes better use of resources, expands educational opportunities, and improves collaboration between patients and physicians [127]. Other studies in the field of asthma have found positive effects on the use of e-health technologies [18, 128-130].
The research findings indicate that web-based applications, technologies related to sending and receiving SMS, mobile applications, voice-call technologies, and reminder systems are at the top of the technologies used to intervene in trial studies related to asthma, respectively. Web-based applications are mainly used through web browsers [131]. It differs from client-server applications in terms of presentation and application logic pieces [132].
Murray et al. [133], as well as Morrison et al. [85], have shown in their review studies that the use of web-based interventions positively affects improving and controlling chronic conditions, especially asthma. Also, in the present research, the researchers discovered that the majority of the studies used web-based systems to improve asthma control, self-management, and patient monitoring. Sarabi et al. have also argued that the use of SMS shows tremendous potential for drug adherence [134]. In addition, Tran et al.'s study stated that they positively evaluated the tools such as SMS and reminder systems in the timely use of drugs and adherence to the treatment plan [135]. The findings of this study also showed that text messaging was used in the studies to improve medication adherence and asthma control. Also, in a systematic review of the use of mobile applications to support asthma patients' self-management, Hui et al. found that using these technologies can improve asthma control [136].
Based on the findings of the present study, the voice-call technology was the fourth technology used in the research to perform the intervention in the field of asthma. The finding of a systematic review conducted by Yasmin et al. showed evidence of improved adherence, as well as health outcomes in disease management, using mobile Short Message Systems and/or Voice Calls [137]. As mentioned in the findings section, 10 of the 12 interventional studies used reminder systems to intervene in medication adherence. Tran et al. [135] and Dong et al. [138] in their systematic review studies indicated the effectiveness of this technology on medication adherence. Also, Jones Cooper et al. reported 
improvement in influenza immunization rates with the implementation of reminder/recall systems [139].
According to the research findings, the highest number of interventions occurred in asthma control, followed by patients' adherence to medication, patient monitoring, and self-management. Chongmelaxme et al., in their study, stated that the use of telemedicine helps to better control asthma and increase the quality of life of these patients [140]. McLean et al. have also suggested that the use of distance care interventions has the potential to reduce the risk of hospitalization, especially for patients with severe asthma [128]. Similarly, concerning patients' adherence to drug use, similar review studies have evaluated the use of electronic health tools in adherence to treatment and drug use in patients with asthma as acceptable and effective [141, 142].
Researchers' findings of the authors' countries, both as the corresponding author and the first author of the articles, and as other authors, the United States, the United Kingdom, and the Netherlands, respectively, have the highest share in the production of the articles. According to reports published in the Index Nature, the United States ranked first, and the United Kingdom ranked fourth in science production in 2018 and 2019 [143, 144]. According to the Scimago Institution in 2021, the United States ranked first in article production, the United Kingdom ranked third, and the Netherlands ranked fifteenth [145].

Conclusion
E-health intervention can be a valuable tool for preventing, diagnosing, and treating asthma, as well as reducing the disease's worldwide burden. The review of the publication trends of 102 articles revealed that more researchers in the asthma area used e-health interventions over time. Web-based applications, text messaging technologies, mobile applications, voice call technologies, and reminder systems were at the top of the technologies used by researchers to perform the intervention, respectively. The highest number of interventions occurred in the field of asthma control, followed by patients' adherence to medication, patient monitoring, and self-care. The United States was the country that contributed the most to these intervention studies.

Acknowledgment: We thank Vice-Chancellor’s office in research affairs of Shahid Beheshti University of Medical Sciences for financial support of the project.
Ethical Permissions: The current research has been approved by the ethics committee of Shahid Beheshti University of Medical Sciences, Tehran, Iran (ethics code: IR.SBMU.RETECH.REC.1397.1179).
Conflicts of Interests: The authors declared that they have no conflict of interests.
Authors’ Contributions: Shahbodaghi A (First Author), Introduction Writer/Methodologist/Main Researcher/ Statistical Analyst/Discussion Writer (50%); Asadi F (Second Author), Methodologist/Statistical Analyst/ Discussion Writer (25%); Almasi S (Third Author), Assistant Researcher/ Discussion Writer (15%); Gavili Kilane N (Fourth author), Assistant Researcher (10%)
Funding/Supports: This research was conducted with the financial support of the Vice-Chancellor’s office in research affairs of the School of Allied Medical Sciences of Shahid Beheshti University of Medical Sciences.
Article Type: Systematic Review | Subject: Health Communication
Received: 2021/12/20 | Accepted: 2022/04/22 | Published: 2022/07/9
* Corresponding Author Address: School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Darband Street, Qods Squar, Tehran, Iran (shahbodaghi@sbmu.ac.ir)

References
1. 1- Borycki EM, Newsham D, Bates DW. eHealth in North America. Yearb Med Inform. 2013;22(01):103-6. [Link] [DOI:10.1055/s-0038-1638839]
2. Mitchell J. Increasing the cost-effectiveness of telemedicine by embracing e-health. J Telemed Telecare. 2000;6(Suppl 1):16-9. [Link] [DOI:10.1258/1357633001934500]
3. Whitehouse D, Wilson P. Introducing ehealth: past, present and future. In: Rosenmöller M, Whitehouse D, Wilson P. Managing ehealth. New York: Springer; 2014. [Link] [DOI:10.1057/9781137379443_1]
4. World Health Organization. Electronic health records: manual for developing countries. Manila: WHO Regional Office for the Western Pacific; 2006. [Link]
5. Pagliari C, Sloan D, Gregor P, Sullivan F, Detmer D, Kahan JP, et al. What is eHealth (4): a scoping exercise to map the field. J Med Internet Res. 2005;7(1):e9. [Link] [DOI:10.2196/jmir.7.1.e9]
6. European Commission. E-Health action plan 2012-2020: innovative healthcare for the 21st century [Internet]. Unnown city: European Commission; 2012 [Cited 2021 Jun 13]. Available from: https://wayback.archive-it.org/12090/20170402221325/https://ec.europa.eu/digital-single-market/en/news/ehealth-action-plan-2012-2020-innovative-healthcare-21st-century [Link]
7. Eysenbach G. What is e-health?. J Med Internet Res. 2001;3(2):e20. [Link] [DOI:10.2196/jmir.3.2.e20]
8. 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. [Link] [DOI:10.2196/jmir.7.1.e1]
9. Viswanath K, Kreuter MW. Health disparities, communication inequalities, and ehealth. Am J Prev Med. 2007;32(Suppl 5):S131-3. [Link] [DOI:10.1016/j.amepre.2007.02.012]
10. Schweitzer J, Synowiec C. The economics of ehealth and mhealth. J Health Commun. 2012;17 Suppl 1:73-81. [Link] [DOI:10.1080/10810730.2011.649158]
11. NLHBI. Guidelines for the diagnosis and management of Asthma 2007 (EPR-3) [Internet]. Bethesda: NLHBI 2012 [Cited 2021 Jun 13].Available from: https://www.nhlbi.nih.gov/health-topics/guidelines-for-diagnosis-management-of-asthma [Link]
12. World Health Organization. Asthma [Internet]. Geneva: World Health Organization; 2021. [Link]
13. Global Health Metrics. Asthma-level 3 cause. Lancet. 2020;396:S108-9. [Link]
14. Aneeshkumar S, Singh RB. Economic burden of asthma among patients visiting a private hospital in South India. Lung India. 2018;35(4):312-5. [Link] [DOI:10.4103/lungindia.lungindia_474_17]
15. Sharifi L, Dashti R, Pourpak Z, Fazlollahi MR, Movahedi M, Chavoshzadeh Z, et al. Economic burden of pediatric asthma: Annual cost of disease in Iran. Iran J Public Health. 2018;47(2):256. [Link]
16. Loftus PA, Wise SK. Epidemiology and economic burden of asthma. Int Forum Allergy Rhinol. 2015;5(S1):s7-10. [Link] [DOI:10.1002/alr.21547]
17. Loftus PA, Wise SK. Epidemiology of asthma. Curr Opin Otolaryngol Head Neck Surg. 2016;24(3):245-9. [Link] [DOI:10.1097/MOO.0000000000000262]
18. Bonini M. Electronic health (e-Health): emerging role in asthma. Curr Opin Pulm Med. 2017;23(1):21-6. [Link] [DOI:10.1097/MCP.0000000000000336]
19. Bonini M, Usmani OS. Novel methods for device and adherence monitoring in asthma. Curr Opin Pulm Med. 2018;24(1):63-9. [Link] [DOI:10.1097/MCP.0000000000000439]
20. Barrett MA, Humblet O, Marcus JE, Henderson K, Smith T, Eid N, et al. Effect of a mobile health, sensor-driven asthma management platform on asthma control. Ann Allergy Asthma Immunol. 2017;119(5):415-21. [Link] [DOI:10.1016/j.anai.2017.08.002]
21. Christakis DA, Garrison MM, Lozano P, Meischke H, Zhou C, Zimmerman FJ. An interactive website to improve parental adherence with asthma treatment guidelines: a randomized controlled trial. Acad Pediatr. 2012;12(4):302-11. [Link] [DOI:10.1016/j.acap.2012.03.006]
22. Vollmer WM, Feldstein A, Smith D, Dubanoski J, Waterbury A, Schneider J, et al. Use of health information technology to improve medication adherence. Am J Manag Care. 2011;17(12):SP79-87. [Link]
23. Cingi C, Yorgancioglu A, Cingi CC, Oguzulgen K, Muluk NB, Ulusoy S, et al. The "physician on call patient engagement trial" (POPET): measuring the impact of a mobile patient engagement application on health outcomes and quality of life in allergic rhinitis and asthma patients. Int Forum Allergy Rhinol. 2015;5(6):487-97. [Link] [DOI:10.1002/alr.21468]
24. Pinnock H, Bawden R, Proctor S, Wolfe S, Scullion J, Price D, et al. Accessibility, acceptability, and effectiveness in primary care of routine telephone review of asthma: pragmatic, randomised controlled trial. BMJ. 2003;326(7387):477-9. [Link] [DOI:10.1136/bmj.326.7387.477]
25. Mangunkusumo RT, Duisterhout JS, de Graaff N, Maarsingh EJ, de Koning HJ, Raat H. Internet versus paper mode of health and health behavior questionnaires in elementary schools: asthma and fruit as examples. J Sch Health. 2006;76(2):80-6. [Link] [DOI:10.1111/j.1746-1561.2006.00072.x]
26. Newhouse N, Martin A, Jawad S, Yu LM, Davoudianfar M, Locock L, et al. Randomised feasibility study of a novel experience-based internet intervention to support self-management in chronic asthma. BMJ Open. 2016;6(12):e013401. [Link] [DOI:10.1136/bmjopen-2016-013401]
27. Sundberg R, Tunsäter A, Palmqvist M, Ellbjär S, Löwhagen O, Torén K. A randomized controlled study of a computerized limited education program among young adults with asthma. Respir Med. 2005;99(3):321-8. [Link] [DOI:10.1016/j.rmed.2004.08.006]
28. Stukus DR, Farooqui N, Strothman K, Ryan K, Zhao S, Stevens JH, et al. Real-world evaluation of a mobile health application in children with asthma. Ann Allergy Asthma Immunol. 2018;120(4):395-400. [Link] [DOI:10.1016/j.anai.2018.02.006]
29. Avery AJ, Rodgers S, Cantrill JA, Armstrong S, Cresswell K, Eden M, et al. A pharmacist-led information technology intervention for medication errors (PINCER): a multicenter, cluster randomized, controlled trial and cost-effectiveness analysis. Lancet. 2012;379(9823):1310-9. [Link] [DOI:10.1016/S0140-6736(11)61817-5]
30. Lv Y, Zhao H, Liang Z, Dong H, Liu L, Zhang D, et al. A mobile phone short message service improves perceived control of asthma: a randomized controlled trial. Telemed J E Health. 2012;18(6):420-6. [Link] [DOI:10.1089/tmj.2011.0218]
31. Joseph CL, Peterson E, Havstad S, Johnson CC, Hoerauf S, Stringer S, et al. A web-based, tailored asthma management program for urban African-American high school students. Am J Respir Crit Care Med. 2007;175(9):888-95. [Link] [DOI:10.1164/rccm.200608-1244OC]
32. Prabhakaran L, Yap CW, Neo LP, Gan CC, Tham LM, Wong WM, et al. Effectiveness of the eCARE programme: a short message service (SMS) for asthma monitoring. Ann Acad Med Singap. 2018;47(6):233-6. [Link] [DOI:10.47102/annals-acadmedsg.V47N6p233]
33. Gruffydd-Jones K, Hollinghurst S, Ward S, Taylor G. Targeted routine asthma care in general practice using telephone triage. Br J Gen Pract. 2005;55(521):918-23. [Link]
34. Meischke H, Lozano P, Zhou C, Garrison MM, Christakis D. Engagement in "My Child's Asthma", an interactive web-based pediatric asthma management intervention. Int J Med Inform. 2011;80(11):765-74. [Link] [DOI:10.1016/j.ijmedinf.2011.08.002]
35. Merchant RK, Inamdar R, Quade RC. Effectiveness of population health management using the propeller health asthma platform: a randomized clinical trial. J Allergy Clin Immunol Pract. 2016;4(3):455-63. [Link] [DOI:10.1016/j.jaip.2015.11.022]
36. Chan DS, Callahan CW, Sheets SJ, Moreno CN, Malone FJ. An Internet-based store-and-forward video home telehealth system for improving asthma outcomes in children. Am J Health Pharm. 2003;60(19):1976-81. [Link] [DOI:10.1093/ajhp/60.19.1976]
37. Zairina E, Abramson MJ, McDonald CF, Li J, Dharmasiri T, Stewart K, et al. Telehealth to improve asthma control in pregnancy: A randomized controlled trial. Respirology. 2016;21(5):867-74. [Link] [DOI:10.1111/resp.12773]
38. Wiecha JM, Adams WG, Rybin D, Rizzodepaoli M, Keller J, Clay JM. Evaluation of a web-based asthma self-management system: a randomized controlled pilot trial. BMC Pulm Med. 2015;15:17. [Link] [DOI:10.1186/s12890-015-0007-1]
39. Hartmann CW, Sciamanna CN, Blanch DC, Mui S, Lawless H, Manocchia M, et al. A website to improve asthma care by suggesting patient questions for physicians: qualitative analysis of user experiences. J Med Internet Res. 2007;9(1):e3. [Link] [DOI:10.2196/jmir.9.1.e3]
40. Chung KF, Naya I. Compliance with an oral asthma medication: a pilot study using an electronic monitoring device. Respir Med. 2000;94(9):852-8. [Link] [DOI:10.1053/rmed.2000.0813]
41. Halterman JS, Sauer J, Fagnano M, Montes G, Fisher S, Tremblay P, et al. Working toward a sustainable system of asthma care: development of the school-based preventive asthma care technology (SB-PACT) trial. J Asthma. 2012;49(4):395-400. [Link] [DOI:10.3109/02770903.2012.669441]
42. Tamblyn R, Ernst P, Winslade N, Huang A, Grad R, Platt RW, et al. Evaluating the impact of an integrated computer-based decision support with person-centered analytics for the management of asthma in primary care: a randomized controlled trial. J Am Med Inform Assoc. 2015;22(4):773-83. [Link] [DOI:10.1093/jamia/ocu009]
43. Gustafson D, Wise M, Bhattacharya A, Pulvermacher A, Shanovich K, Phillips B, et al. The effects of combining web-based ehealth with telephone nurse case management for pediatric asthma control: a randomized controlled trial. J Med Internet Res. 2012;14(4):e101. [Link] [DOI:10.2196/jmir.1964]
44. Vargas PA, Robles E, Harris J, Radford P. Using information technology to reduce asthma disparities in underserved populations: a pilot study. J Asthma. 2010;47(8):889-94. [Link] [DOI:10.3109/02770903.2010.497887]
45. Fedele DA, McConville A, Graham Thomas J, et al. Applying interactive mobile health to asthma care in teens (AIM2ACT): development and design of a randomized controlled trial. Contemp Clin Trials. 2018;64:230-7. [Link] [DOI:10.1016/j.cct.2017.09.007]
46. Britto MT, Rohan JM, Dodds CM, Byczkowski TL. A randomized trial of user-controlled text messaging to improve asthma outcomes: a pilot study. Clin Pediatr. 2017;56(14):1336-44. [Link] [DOI:10.1177/0009922816684857]
47. van Gaalen JL, Beerthuizen T, van der Meer V, van Reisen P, Redelijkheid GW, Snoeck-Stroband JB, et al. Long-term outcomes of internet-based self-management support in adults with asthma: randomized controlled trial. J Med Internet Res. 2013;15(9):e188. [Link] [DOI:10.2196/jmir.2640]
48. Yawn BP, Algatt‐Bergstrom PJ, Yawn RA, Wollan P, Greco M, Gleason M, et al. An in-school CD-ROM asthma education program. J Sch Health. 2000;70(4):153-9. [Link] [DOI:10.1111/j.1746-1561.2000.tb06462.x]
49. Fiks AG, Mayne SL, Karavite DJ, Suh A, O'Hara R, Localio AR, et al. Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT. Pediatrics. 2015;135(4):e965-73. [Link] [DOI:10.1542/peds.2014-3167]
50. Choi BW, Yoo KH, Jeong JW, Yoon HJ, Kim SH, Park YM, et al. Easy diagnosis of asthma: computer-assisted, symptom-based diagnosis. J Korean Med Sci. 2007;22(5):832-8. [] [DOI:10.3346/jkms.2007.22.5.832]
51. van Den Wijngaart LS, Roukema J, Boehmer AL, Brouwer ML, Hugen CA, Niers LE, et al. A virtual asthma clinic for children: fewer routine outpatient visits, same asthma control. Eur Respir J. 2017;50:1700471. [Link] [DOI:10.1183/13993003.00471-2017]
52. Clarke SA, Calam R, Morawska A, Sanders M. Developing web-based triple p "positive parenting programme" for families of children with asthma. Child Care Health Dev. 2014;40(4):492-7. [Link] [DOI:10.1111/cch.12073]
53. Hashimoto S, Ten Brinke A, Roldaan AC, van Veen IH, Möller GM, Sont JK, et al. Internet-based tapering of oral corticosteroids in severe asthma: a pragmatic randomised controlled trial. Thorax. 2011;66:514-20. [Link] [DOI:10.1136/thx.2010.153411]
54. Foster JM, Reddel HK, Usherwood T, Sawyer SM, Smith L. Patient-perceived acceptability and behaviour change benefits of inhaler reminders and adherence feedback: A qualitative study. Respir Med. 2017;129:39-45. [Link] [DOI:10.1016/j.rmed.2017.05.013]
55. Pinnock H, Adlem L, Gaskin S, Harris J, Snellgrove C, Sheikh A. Accessibility, clinical effectiveness, and practice costs of providing a telephone option for routine asthma reviews: phase IV controlled implementation study. Br J Gen Pract. 2007;57(542):714-22. [Link]
56. Lu M, Ownby DR, Zoratti E, Roblin D, Johnson D, Johnson CC, et al. Improving efficiency and reducing costs: design of an adaptive, seamless, and enriched pragmatic efficacy trial of an online asthma management program. Contemp Clin Trials. 2014;38(1):19-27. [Link] [DOI:10.1016/j.cct.2014.02.008]
57. Cruz-Correia R, Fonseca J, Lima L, Araújo L, Delgado L, Castel-Branco MG, et al. Web-based or paper-based self-management tools for asthma--patients' opinions and quality of data in a randomized crossover study. Stud Health Technol Inform. 2007;127:178-89. [Link]
58. Pernell BM, DeBaun MR, Becker K, Rodeghier M, Bryant V, Cronin RM. Improving medication adherence with two-way short message service reminders in sickle cell disease and asthma. Appl Clin Inform. 2017;8(2):541-59. [Link] [DOI:10.4338/ACI-2016-12-RA-0203]
59. Young HN, Havican SN, Griesbach S, Thorpe JM, Chewning BA, Sorkness CA. Patient and phaRmacist telephonic encounters (PARTE) in an underserved rural patient population with asthma: results of a pilot study. Telemed J E health. 2012;18(6):427-33. [Link] [DOI:10.1089/tmj.2011.0194]
60. Pool AC, Kraschnewski JL, Poger JM, Smyth J, Stuckey HL, Craig TJ, et al. Impact of online patient reminders to improve asthma care: A randomized controlled trial. PLoS One. 2017;12(2):e0170447. [Link] [DOI:10.1371/journal.pone.0170447]
61. Ryan D, Price D, Musgrave SD, Malhotra S, Lee AJ, Ayansina D, et al. Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial. BMJ. 2012;344:e1756. [Link] [DOI:10.1136/bmj.e1756]
62. Huss K, Winkelstein M, Nanda J, Naumann PL, Sloand ED, Huss RW. Computer game for inner-city children does not improve asthma outcomes. J Pediatr Health Care. 2003;17(2):72-8. [Link] [DOI:10.1016/S0891-5245(02)88328-6]
63. Shegog R, Bartholomew LK, Parcel GS, Sockrider MM, Mâsse L, Abramson SL. Impact of a computer-assisted education program on factors related to asthma self-management behavior. J Am Med Inform Assoc. 2001;8(1):49-61. [Link] [DOI:10.1136/jamia.2001.0080049]
64. Garbutt JM, Yan Y, Highstein G, Strunk RC. A cluster-randomized trial shows telephone peer coaching for parents reduces children's asthma morbidity. J Allergy Clin Immunol. 2015;135(5):1162-3. [Link] [DOI:10.1016/j.jaci.2014.09.033]
65. van der Meer V, van den Hout WB, Bakker MJ, Rabe KF, Sterk PJ, Assendelft WJ, et al. Cost-effectiveness of Internet-based self-management compared with usual care in asthma. PLoS One. 2011;6(11):e27108. [Link] [DOI:10.1371/journal.pone.0027108]
66. Krishna S, Francisco BD, Balas EA, König P, Graff GR, Madsen RW. Internet-enabled interactive multimedia asthma education program: a randomized trial. Pediatrics. 2003;111(3):503-10. [Link] [DOI:10.1542/peds.111.3.503]
67. Wilson EA, Park DC, Curtis LM, Cameron KA, Clayman ML, Makoul G, et al. Media and memory: the efficacy of video and print materials for promoting patient education about asthma. Patient Educ Couns. 2010;80(3):393-8. [Link] [DOI:10.1016/j.pec.2010.07.011]
68. Lobach DF, Kawamoto K, Anstrom KJ, Silvey GM, Willis JM, Johnson FS, et al. A randomized trial of population-based clinical decision support to manage health and resource use for medicaid beneficiaries. J Med Syst. 2013;37:9922. [Link] [DOI:10.1007/s10916-012-9922-3]
69. Runge C, Lecheler J, Horn M, Tews JT, Schaefer M. Outcomes of a Web-based patient education program for asthmatic children and adolescents. Chest. 2006;129(3):581-93. [Link] [DOI:10.1378/chest.129.3.581]
70. Liu WT, Huang CD, Wang CH, Lee KY, Lin SM, Kuo HP. A mobile telephone-based interactive self-care system improves asthma control. Eur Respir J. 2011;37:310-7. [Link] [DOI:10.1183/09031936.00000810]
71. van Sickle D, Magzamen S, Truelove S, Morrison T. Remote monitoring of inhaled bronchodilator use and weekly feedback about asthma management: an open-group, short-term pilot study of the impact on asthma control. PLoS One. 2013;8(2):e55335. [Link] [DOI:10.1371/journal.pone.0055335]
72. Anhøj J, Møldrup C. Feasibility of collecting diary data from asthma patients through mobile phones and SMS (short message service): response rate analysis and focus group evaluation from a pilot study. J Med Internet Res. 2004;6(4):e42. [Link] [DOI:10.2196/jmir.6.4.e42]
73. Ahmed S, Ernst P, Bartlett SJ, Valois MF, Zaihra T, Paré G, et al. The effectiveness of web-based asthma self-management system, my asthma portal (MAP): a pilot randomized controlled trial. J Med Internet Res. 2016;18(12):e313. [Link] [DOI:10.2196/jmir.5866]
74. Strandbygaard U, Thomsen SF, Backer V. A daily SMS reminder increases adherence to asthma treatment: a three-month follow-up study. Respir Med. 2010;104(2):166-71. [Link] [DOI:10.1016/j.rmed.2009.10.003]
75. Perry TT, Halterman JS, Brown RH, Luo C, Randle SM, Hunter CR, et al. Results of an asthma education program delivered via telemedicine in rural schools. Ann Allergy Asthma Immunol. 2018;120(4):401-8. [Link] [DOI:10.1016/j.anai.2018.02.013]
76. Perry TT, Marshall A, Berlinski A, Rettiganti M, Brown RH, Randle SM, et al. Smartphone-based vs paper-based asthma action plans for adolescents. Ann Allergy Asthma Immunol l. 2017;118(3):298-303. [Link] [DOI:10.1016/j.anai.2016.11.028]
77. Van der Meer V, Bakker MJ, van den Hout WB, Rabe KF, Sterk PJ, Kievit J, et al. Internet-based self-management plus education compared with usual care in asthma: a randomized trial. Ann Intern Med. 2009;151(2):110-20. [Link] [DOI:10.7326/0003-4819-151-2-200907210-00008]
78. Garbutt JM, Banister C, Highstein G, Sterkel R, Epstein J, Bruns J, et al. Telephone coaching for parents of children with asthma: impact and lessons learned. Arch Pediatr Adolesc Med. 2010;164(7):625-30. [Link] [DOI:10.1001/archpediatrics.2010.91]
79. Rikkers‐Mutsaerts ER, Winters AE, Bakker MJ, van Stel HF, van der Meer V, de Jongste JC, et al. Internet-based self-management compared with usual care in adolescents with asthma: a randomized controlled trial. Pediatr Pulmonol. 2012;47(12):1170-9. [Link] [DOI:10.1002/ppul.22575]
80. Chan DS, Callahan CW, Hatch-Pigott VB, Lawless A, Proffitt HL, Manning NE, et al. Internet-based home monitoring and education of children with asthma is comparable to ideal office-based care: results of a 1-year asthma in-home monitoring trial. Pediatrics. 2007;119(3):569-78. [Link] [DOI:10.1542/peds.2006-1884]
81. Koufopoulos JT, Conner MT, Gardner PH, Kellar I. A web-based and mobile health social support intervention to promote adherence to inhaled asthma medications: randomized controlled trial. J Med Internet Res. 2016;18(6):e122. [Link] [DOI:10.2196/jmir.4963]
82. Cao Y, Lin S-H, Zhu D, Xu F, Chen ZH, Shen HH, et al. WeChat public account use improves clinical control of cough-variant asthma: a randomized controlled trial. Med Sci Monit Int Med J Exp Clin Res. 2018;24:1524-32. [Link] [DOI:10.12659/MSM.907284]
83. Pinnock H, McKenzie L, Price D, Sheikh A. Cost-effectiveness of telephone or surgery asthma reviews: economic analysis of a randomized controlled trial. Br J Gen Pract. 2005;55(511):119-24. [Link]
84. Eccles M, McColl E, Steen N, Rousseau N, Grimshaw J, Parkin D, et al. Effect of computerised evidence based guidelines on management of asthma and angina in adults in primary care: cluster randomised controlled trial. BMJ. 2002;325(7370):941. [Link] [DOI:10.1136/bmj.325.7370.941]
85. Morrison D, Wyke S, Saunderson K, McConnachie A, Agur K, Chaudhuri R, et al. Findings from a pilot Randomised trial of an Asthma Internet Self-management Intervention (RAISIN). BMJ Open. 2016;6(5):e009254. [Link] [DOI:10.1136/bmjopen-2015-009254]
86. McClure LA, Harrington KF, Graham H, Gerald LB. Internet-based monitoring of asthma symptoms, peak flow meter readings, and absence data in a school-based clinical trial. Clin Trials. 2008;5(1):31-7. [Link] [DOI:10.1177/1740774507086647]
87. Uysal MA, Mungan D, Yorgancioglu A, Yildiz F, Akgun M, Gemicioglu B, et al. Asthma control test via text messaging: could it be a tool for evaluating asthma control?. J Asthma. 2013;50(10):1083-9. [Link] [DOI:10.3109/02770903.2013.832294]
88. Bynum A, Hopkins D, Thomas A, Copeland N, Irwin C. The effect of telepharmacy counseling on metered-dose inhaler technique among adolescents with asthma in rural Arkansas. Telemed J E Health. 2001;7(3):207-17. [Link] [DOI:10.1089/153056201316970902]
89. Koolen BB, Pijnenburg MW, Brackel HJ, Landstra AM, van Den Berg NJ, Merkus PJ, et al. Validation of a web-based version of the asthma control test and childhood asthma control test. Pediatr Pulmonol. 2011;46(10):941-8. [Link] [DOI:10.1002/ppul.21458]
90. Chan AHY, Stewart AW, Harrison J, Black PN, Mitchell EA, Foster JM. Electronic adherence monitoring device performance and patient acceptability: a randomized control trial. Expert Rev Med Devices. 2017;14(5):401-11. [Link] [DOI:10.1080/17434440.2017.1322505]
91. Dexheimer JW, Abramo TJ, Arnold DH, Johnson K, Shyr Y, Ye F, et al. Implementation and evaluation of an integrated computerized asthma management system in a pediatric emergency department: a randomized clinical trial. Int J Med Inform. 2014;83(11):805-13. [Link] [DOI:10.1016/j.ijmedinf.2014.07.008]
92. Vasbinder EC, Goossens LMA, Rutten-van Mölken MPMH, et al. E-Monitoring of asthma therapy to improve compliance in children (e-MATIC): a randomized controlled trial. Eur Respir J. 2016;48(3):758-67. [Link] [DOI:10.1183/13993003.01698-2015]
93. Donald KJ, McBurney H, Teichtahl H, Irving L. A pilot study of telephone based asthma management. Aust Fam Physician. 2008;37(3):170-3. [Link]
94. Willems DCM, Joore MA, Hendriks JJE, Nieman FHM, Severens JL, Wouters EFM. The effectiveness of nurse-led telemonitoring of asthma: results of a randomized controlled trial. J Eval Clin Pract. 2008;14(4):600-9. [Link] [DOI:10.1111/j.1365-2753.2007.00936.x]
95. raújo L, Jacinto T, Moreira A, Castel-Branco MG, Delgado L, Costa-Pereira A, et al. Clinical efficacy of web-based versus standard asthma self-management. J Invest Allergol Clin Immunol. 2012;22(1):28-34. [Link]
96. Johnson KB, Patterson BL, Ho YX, Chen Q, Nian H, Davison CL, et al. The feasibility of text reminders to improve medication adherence in adolescents with asthma. J Am Med Inform Assoc. 2016;23(3):449-55. [Link] [DOI:10.1093/jamia/ocv158]
97. Beerthuizen T, Voorend-van Bergen S, van den Hout WB, Vaessen-Verberne AA, Brackel HJ, Landstra AM, et al. Cost-effectiveness of FENO-based and web-based monitoring in pediatric asthma management: a randomized controlled trial. Thorax. 2016;71(7):607-13. [Link] [DOI:10.1136/thoraxjnl-2015-207593]
98. Bartholomew LK, Gold RS, Parcel GS, Czyzewski DI, Sockrider MM, Fernandez M, et al. Watch, Discover, Think, and Act: evaluation of computer-assisted instruction to improve asthma self-management in inner-city children. Patient Educ Couns. 2000;39(2-3):269-80. [Link] [DOI:10.1016/S0738-3991(99)00046-4]
99. Lau AYS, Arguel A, Dennis S, Liaw ST, Coiera E. "Why Didn't it Work?" Lessons from a randomized controlled trial of a web-based personally controlled health management system for adults with asthma. J Med Internet Res. 2015;17(12):e283. [Link] [DOI:10.2196/jmir.4734]
100. Halterman JS, Fagnano M, Tajon RS, Tremblay P, Wang H, Butz A, et al. Effect of the school-based telemedicine enhanced asthma management (SB-TEAM) program on asthma morbidity: a randomized clinical trial. JAMA Pediatr. 2018;172(3):e174938. [Link] [DOI:10.1001/jamapediatrics.2017.4938]
101. Kuhn L, Reeves K, Taylor Y, Tapp H, McWilliams A, Gunter A,et al. Planning for action: the impact of an asthma action plan decision support tool integrated into an electronic health record (EHR) at a large health care system. J Am Board Fam Med. 2015;28(3):382-93. [Link] [DOI:10.3122/jabfm.2015.03.140248]
102. Petrie KJ, Perry K, Broadbent E, Weinman J. A text message programme designed to modify patients' illness and treatment beliefs improves self-reported adherence to asthma preventer medication. Br J Health Psychol. 2012;17(1):74-84. [Link] [DOI:10.1111/j.2044-8287.2011.02033.x]
103. Taylor B, Dinh M, Kwok R, Dinh D, Chu M, Tang E. Electronic interface for emergency department management of asthma: a randomized control trial of clinician performance. Emerg Med Australas. 2008;20(1):38-44. [Link] [DOI:10.1111/j.1742-6723.2007.01040.x]
104. Xu C, Jackson M, Scuffham PA, Wootton R, Simpson P, Whitty J, et al. A randomized controlled trial of an interactive voice response telephone system and specialist nurse support for childhood asthma management. J Asthma. 2010;47(7):768-773. [Link] [DOI:10.3109/02770903.2010.493966]
105. Joseph CL, Lu M, Stokes-Bruzzelli S, Johnson DA, Duffy E, Demers M, et al. Initiating an online asthma management program in urban emergency departments: the recruitment experience. Ann Allergy Asthma Immunol. 2016;116(1):43-8. [Link] [DOI:10.1016/j.anai.2015.10.021]
106. Bell LM, Grundmeier R, Localio R, Zorc J, Fiks AG, Zhang X,et al. Electronic health record-based decision support to improve asthma care: a cluster-randomized trial. Pediatrics. 2010;125(4):e770-7. [Link] [DOI:10.1542/peds.2009-1385]
107. Ostojic V, Cvoriscec B, Ostojic SB, Reznikoff D, Stipic-Markovic A, Tudjman Z. Improving asthma control through telemedicine: a study of short-message service. Telemed J E Health. 2005;11(1):28-35. [Link] [DOI:10.1089/tmj.2005.11.28]
108. J Joseph CL, Ownby DR, Havstad SL, Saltzgaber J, Considine S, Johnson D, et al. Evaluation of a web-based asthma management intervention program for urban teenagers: reaching the hard to reach. J Adolesc Heal. 2013;52(4):419-26. [Link] [DOI:10.1016/j.jadohealth.2012.07.009]
109. Vollmer WM, Kirshner M, Peters D, Drane A, Stibolt T, Hickey T, et al. Use and impact of an automated telephone outreach system for asthma in a managed care setting. Am J Manag Care. 2006;12(12):725-33. [Link]
110. Jan RL, Wang JY, Huang MC, Tseng SM, Su HJ, Liu LF. An internet-based interactive telemonitoring system for improving childhood asthma outcomes in Taiwan. Telemed J E Health. 2007;13(3):257-68. [Link] [DOI:10.1089/tmj.2006.0053]
111. Rasmussen LM, Phanareth K, Nolte H, Backer V. Internet-based monitoring of asthma: a long-term, randomized clinical study of 300 asthmatic subjects. J Allergy Clin Immunol. 2005;115(6):1137-42. [Link] [DOI:10.1016/j.jaci.2005.03.030]
112. Morton RW, Elphick HE, Rigby AS, Daw WJ, King DA, Smith LJ, et al. STAAR: a randomised controlled trial of electronic adherence monitoring with reminder alarms and feedback to improve clinical outcomes for children with asthma. Thorax. 2017;72(4):347-54. [Link] [DOI:10.1136/thoraxjnl-2015-208171]
113. McPherson AC, Glazebrook C, Forster D, James C, Smyth A. A randomized, controlled trial of an interactive educational computer package for children with asthma. Pediatrics. 2006;117(4):1046-54. [Link] [DOI:10.1542/peds.2005-0666]
114. Homer C, Susskind O, Alpert HR, Owusu MC, Schneider L, Rappaport LA, et al. An evaluation of an innovative multimedia educational software program for asthma management: report of a randomized, controlled trial. Pediatrics. 2000;106(1 Pt 2):210-5. [Link] [DOI:10.1542/peds.106.S1.210]
115. Frémont A, Abou Taam R, Wanin S, Lebras MN, Ollier V, Nathanson S, et al. Cartoons to improve young children's cooperation with inhaled corticosteroids: a preliminary study. Pediatr Pulmonol. 2018;53(9):1193-9. [Link] [DOI:10.1002/ppul.24070]
116. Prabhakaran L, Chee WY, Chua KC, Abisheganaden J, Wong WM. The use of text messaging to improve asthma control: a pilot study using the mobile phone short messaging service (SMS). J Telemed Telecare. 2010;16(5):286-90. [Link] [DOI:10.1258/jtt.2010.090809]
117. Britto MT, Munafo JK, Schoettker PJ, Vockell ALB, Wimberg JA, Yi MS. Pilot and feasibility test of adolescent-controlled text messaging reminders. Clin Pediatr. 2012;51(2):114-21. [Link] [DOI:10.1177/0009922811412950]
118. Portnoy JM, Waller M, De Lurgio S, Dinakar C. Telemedicine is as effective as in-person visits for patients with asthma. Ann Allergy Asthma Immunol. 2016;117(3):241-5. [Link] [DOI:10.1016/j.anai.2016.07.012]
119. Gomes ELFD, Carvalho CRF, Peixoto-Souza FS, Teixeira-Carvalho EF, Mendonça JF, Stirbulov R, et al. Active video game exercise training improves the clinical control of asthma in children: randomized controlled trial. PLoS One. 2015;10(8):e0135433. [Link] [DOI:10.1371/journal.pone.0135433]
120. Foster JM, Usherwood T, Smith L, Sawyer SM, Xuan W, Rand CS, et al. Inhaler reminders improve adherence with controller treatment in primary care patients with asthma. J Allergy Clin Immunol. 2014;134(6):1260-8.e3. [Link] [DOI:10.1016/j.jaci.2014.05.041]
121. Van der Meer V, van Stel HF, Detmar SB, Otten W, Sterk PJ, Sont JK. Internet-based self-management offers an opportunity to achieve better asthma control in adolescents. Chest. 2007;132(1):112-9. [Link] [DOI:10.1378/chest.06-2787]
122. Cook KA, Modena BD, Simon RA. Improvement in asthma control using a minimally burdensome and proactive smartphone application. J Allergy Clin Immunol Pract. 2016;4(4):730-7.e1. [Link] [DOI:10.1016/j.jaip.2016.03.005]
123. Morrison D, Wyke S, Agur K, Cameron EJ, Docking RI, MacKenzie AM, et al. Digital asthma self-management interventions: a systematic review. J Med Internet Res. 2014;16(2):e2814. [Link] [DOI:10.2196/jmir.2814]
124. da Fonseca MH, Kovaleski F, Picinin CT, Pedroso B, Rubbo P. E-health practices and technologies: a systematic review from 2014 to 2019. Healthcare. 2021;9(9). [Link] [DOI:10.3390/healthcare9091192]
125. Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Med J. 2017;38(12):1173-80. [Link] [DOI:10.15537/smj.2017.12.20631]
126. Talboom-Kamp EPWA, Verdijk NA, Harmans LM, Numans ME, Chavannes NH. An ehealth platform to manage chronic disease in primary care: an innovative approach. Interact J Med Res. 2016;5(1):e5. [Link] [DOI:10.2196/ijmr.4217]
127. Elliott T, Shih J, Dinakar C, Portnoy J, Fineman S. American College of Allergy, Asthma & Immunology position paper on the use of telemedicine for allergists. Ann Allergy Asthma Immunol. 2017;119(6):512-7. [Link] [DOI:10.1016/j.anai.2017.09.052]
128. McLean S, Chandler D, Nurmatov U, Liu J, Pagliari C, Car J, et al. Telehealthcare for asthma: a Cochrane review. CMAJ. 2011;183(11):E733-42. [Link] [DOI:10.1503/cmaj.101146]
129. van Den Wijngaart LS, Kievit W, Roukema J, Boehmer AL, Brouwer ML, Hugen CA, et al. Online asthma management for children is cost-effective. Eur Respir J. 2017;50(4). [Link] [DOI:10.1183/13993003.01413-2017]
130. Zhao J, Zhai Y, Zhu W, Sun D. Effectiveness of telemedicine for controlling asthma symptoms: a systematic review and meta-analysis. Telemed E Health. 2015;21(6):484-92. [Link] [DOI:10.1089/tmj.2014.0119]
131. Sturm R, Pollard C, Craig J. Chapter 3 - management of traditional applications. In: Sturm R, Pollard C, Craig J. Application performance management (APM) in the digital enterprise. Boston: Morgan Kaufmann; 2017. pp. 25-39. [Link] [DOI:10.1016/B978-0-12-804018-8.00003-6]
132. Bourne KC. Chapter 2-design. In: Bourne K. Application administrators handbook. Boston: Morgan Kaufmann; 2014:12-19. [Link] [DOI:10.1016/B978-0-12-398545-3.00002-9]
133. Murray E, Burns J, See TS, Lai R, Nazareth I. Interactive health communication applications for people with chronic disease. Cochrane database Syst Rev. 2004;(4):CD004274. [Link] [DOI:10.1002/14651858.CD004274.pub3]
134. Sarabi RE, Sadoughi F, Orak RJ, Bahaadinbeigy K. The effectiveness of mobile phone text messaging in improving medication adherence for patients with chronic diseases: a systematic review. Iran Red Crescent Med J. 2016;18(5). [Link] [DOI:10.5812/ircmj.25183]
135. Tran N, Coffman JM, Sumino K, Cabana MD. Patient reminder systems and asthma medication adherence: a systematic review. J Asthma. 2014;51(5):536-43. [Link] [DOI:10.3109/02770903.2014.888572]
136. Hui CY, Walton R, McKinstry B, Jackson T, Parker R, Pinnock H. The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence. J Am Med Inform Assoc. 2017;24(3):619-32. [Link] [DOI:10.1093/jamia/ocw143]
137. Yasmin F, Banu B, Zakir SM, Sauerborn R, Ali L, Souares A. Positive influence of short message service and voice call interventions on adherence and health outcomes in case of chronic disease care: a systematic review. BMC Med Inform Decis Mak. 2016;16:46. [Link] [DOI:10.1186/s12911-016-0286-3]
138. Dong J, Reeves L, Ali A, Freeman MK, Adunlin G. A systematic review of the effectiveness of text message reminders on asthma medication adherence. Inov Pharm. 2018;9(3):1-7. [Link] [DOI:10.24926/iip.v9i3.1370]
139. Jones Cooper SN, Walton-Moss B. Using reminder/recall systems to improve influenza immunization rates in children with asthma. J Pediatr Heal Care. 2013;27(5):327-33. [Link] [DOI:10.1016/j.pedhc.2011.11.005]
140. Chongmelaxme B, Lee S, Dhippayom T, Saokaew S, Chaiyakunapruk N, Dilokthornsakul P. The effects of telemedicine on asthma control and patients' quality of life in adults: a systematic review and meta-analysis. J Allergy Clin Immunol Pract. 2019;7(1):199-216. [Link] [DOI:10.1016/j.jaip.2018.07.015]
141. Jeminiwa R, Hohmann L, Qian J, Garza K, Hansen R, Fox BI. Impact of ehealth on medication adherence among patients with asthma: A systematic review and meta-analysis. Respir Med. 2019;149:59-68. [Link] [DOI:10.1016/j.rmed.2019.02.011]
142. Normansell R, Kew KM, Stovold E. Interventions to improve adherence to inhaled steroids for asthma. Cochrane Database Syst Rev. 2017;(4). [Link] [DOI:10.1002/14651858.CD012226.pub2]
143. Crew B. The top 10 countries for scientific research in 2018. Nat Index. 2019 Jul. [Link]
144. Nature Index. The ten leading countries in natural-sciences research. Nat Index. 2020 Apr. [Link]
145. Scimago Institution Ranking. Country rankings [Internet]. Unknown city: Scimago Journal & Country Ranking; 2021 [Cited 2021Feb 11]. Available from: https://www.scimagojr.com/countryrank.php [Link]

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