LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,149
تعداد مقالات10,518
تعداد مشاهده مقاله45,416,475
تعداد دریافت فایل اصل مقاله11,292,594
Jagarwal, Shikha, Jasrotia, Amithy. (1403). Author Details for the Research Article “Towards a Sociological Literature Review on m-Health Applications”. سامانه مدیریت نشریات علمی, 12(3), 223-235. doi: 10.30476/jhsss.2023.100087.1825
Shikha Jagarwal; Amithy Jasrotia. "Author Details for the Research Article “Towards a Sociological Literature Review on m-Health Applications”". سامانه مدیریت نشریات علمی, 12, 3, 1403, 223-235. doi: 10.30476/jhsss.2023.100087.1825
Jagarwal, Shikha, Jasrotia, Amithy. (1403). 'Author Details for the Research Article “Towards a Sociological Literature Review on m-Health Applications”', سامانه مدیریت نشریات علمی, 12(3), pp. 223-235. doi: 10.30476/jhsss.2023.100087.1825
Jagarwal, Shikha, Jasrotia, Amithy. Author Details for the Research Article “Towards a Sociological Literature Review on m-Health Applications”. سامانه مدیریت نشریات علمی, 1403; 12(3): 223-235. doi: 10.30476/jhsss.2023.100087.1825

Author Details for the Research Article “Towards a Sociological Literature Review on m-Health Applications”

Journal of Health Sciences & Surveillance System
دوره 12، شماره 3، مهر 2024، صفحه 223-235    اصل مقاله (857.77 K)
نوع مقاله: Review Articles
شناسه دیجیتال (DOI): 10.30476/jhsss.2023.100087.1825
نویسندگان
Shikha Jagarwal* 1؛ Amithy Jasrotia2
1Department of Sociology, University of Rajasthan (UoR), Jaipur, India
2Department of Sociology, UoR, Jaipur, India
چکیده
Background: For many trying to understand the sociology of technological artefacts and their influence in establishing human behaviour towards health, the study of m-Health applications becomes critical in the development of health and fitness behaviour among humans. M-Health is a growing field of study under ‘Social Construction of Technology (SCOT)’ wherein progress is witnessed in various categories such as the mobile application, developed to cater to the different needs of the digital health and fitness market.
Methods: Through the scoping review under the broader category of a systematic literature review in the present paper, the aim is to understand the sociological construction and adoption of the health and fitness m-Health applications. For this purpose, the review contains peer-reviewed papers and articles, books, and other literature. These studies have been developed systematically and a comprehensive scope of further research  that takes into account the contextual transformation of these m-Health applications has culminated.
Results: To d evelop b etter c onceptual i nnovations, t he idea of quantified self and research gaps are highlighted. Further, a wider scope for quantifying oneself can be expanded for studies in a developing country like India. The idea of m-Health application has revolved around various categories that take into consideration the formative needs of healthcare in a developing as well as a developed world.
Conclusion: Through this paper, we study the need to broaden the sociological lenses that comprehend the construction of these applications within the social context and how they are reshaping the behavioural patterns of health and fitness among individuals.

تازه های تحقیق

Shikha Jagarwal (Google Scholar)

Amithy Jasrotia (Google Scholar)

کلیدواژه‌ها
m-Health applications؛ Social construction؛ Review paper؛ Quantified self
مراجع
  1. GSMA mHealth tracker. 2015.Retrieved May 20, 2020, from http://www.gsma.com/mobilefordevelopment/programmes/mhealth/mhealth-deployment-tracker.
  2. Srivastava L. Mobile phones and the evolution of social behaviour. Behaviour & information technology. 2005; 24(2):111-29. doi: 10.1080/01449290512331321910.
  3. Matic A, Osmani V, Mayora-Ibarra O. Analysis of social interactions through mobile phones. Mobile Networks and Applications. 2012; 17:808-19. doi: 1007/s11036-012-0400-4.
  4. Bayer JB, Ellison NB, Schoenebeck SY, Falk EB. Sharing the small moments: ephemeral social interaction on Snapchat. Information, communication & society. 2016; 19(7):956-77. doi: 10.1080/1369118X.2015.1084349.
  5. Bourdieu P. The peculiar history of scientific reason. In Sociological forum 1991; 6, 3-26. Kluwer Academic Publishers-Plenum Publishers.
  6. Bourdieu P. The rules of art: Genesis and structure of the literary field. Stanford University Press; 1996.
  7. Pinch T. The Social Construction of Technology (SCOT) approach was first developed by Pinch and Bijker (1984). Its key idea is that meanings of technological artifacts are shared by social groups. Problems posed by artifacts for certain social groups are responded to by new designs. Over time the early emphasis. Material culture and technology in everyday life: Ethnographic approaches. 2009; 25:45.
  8. Nettleton S, Burrows R, Malley LO, Watt I. Health E-types? Information, Communication & Society. 2004;7(4):531-53. doi: 1080/1369118042000305638.
  9. Lupton D. Medicine as culture. Medicine as Culture. 2012:1-208. doi: 10.4135/9781446254530.
  10. Rich E, Miah A. Understanding digital health as public pedagogy: A critical framework. Societies. 2014; 4(2):296-315. doi: 3390/soc4020296.
  11. Mead GH. Mind, self, and society. Chicago: University of Chicago press; 1934.
  12. Goffman E. The moral career of the mental patient. Psychiatry. 1959; 22(2):123-42.
  13. Cerulo KA. Nonhumans in social interaction. Annual Review of Sociology. 2009; 35:531-52.
  14. Rich E. Digitising Fat'–Digital technologies, Embodiment and the Governance of Fat'. In2nd Annual international weight stigma conference 2014.
  15. Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health information & libraries journal. 2009; 26(2):91-108. doi: 10.1111/j.1471-1842.2009.00848.x.
  16. Smarr L. Quantifying your body: A how‐to guide from a systems biology perspective. Biotechnology journal. 2012; 7(8):980-91. doi: 1002/biot.201100495.
  17. Swan M. Health 2050: The realization of personalized medicine through crowdsourcing, the quantified self, and the participatory biocitizen. Journal of personalized medicine. 2012; 2(3):93-118. doi: 10.3390/jpm2030093.
  18. Swan M. Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator networks. 2012; 1(3):217-53. doi: 10.3390/jsan1030217.
  19. Wolf G. The quantified self: reverse engineering. Quantified: Biosensing technologies in everyday life. 2016 Apr 8:67-72. doi: 10.7551/mitpress/9780262034173.003.0004.
  20. World Health Organization. mHealth: new horizons for health through mobile technologies. mHealth: new horizons for health through mobile technologies. 2011.https://apps.who.int/iris/handle/10665/44607.
  21. Lucivero F, Prainsack B. The lifestylisation of healthcare? ‘Consumer genomics’ and mobile health as technologies for healthy lifestyle. Applied & translational genomics. 2015; 4:44-9. doi: 10.1016/j.atg.2015.02.001.
  22. Bijker WE, Pinch TJ. The social construction of fact and artifacts. Philosophy of technology: the technological condition: an anthology. 1987:107-39.
  23. Wilensky, G. R. (1991). Validation of the Instant Blood Pressure Smartphone App. Institute for Clinical and Economic Review. Proton beam therapy, 109(11), 1507. doi: 1001/jamainternmed.2016.0157.
  24. DeBakey ME. Telemedicine has now come of age. Telemedicine Journal. 1995;1(1):3-4. doi: 10.1089/tmj.1.1995.1.3.
  25. Jayanti RK, Burns AC. The antecedents of preventive health care behavior: An empirical study. Journal of the academy of marketing science. 1998; 26(1):6-15.
  26. Durkheim E. The elementary forms of religious life. In Social theory re-wired 2016; 52-67. Routledge.
  27. Weber M. Economy and society: A new translation. Harvard University Press; 2019.
  28. Parsons T. The structure of. Social Action. 1937;491.
  29. Callon M. The sociology of an actor-network: The case of the electric vehicle. In Mapping the dynamics of science and technology: Sociology of science in the real world 1986; 19-34. London: Palgrave Macmillan UK.
  30. Forlizzi J, Battarbee K. Understanding experience in interactive systems. InProceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques 2004; 261-268. http://repository.cmu.edu/hcii/46.
  31. Abowd GD, Mynatt ED, Rodden T. The human experience [of ubiquitous computing]. IEEE pervasive computing. 2002; 1(1):48-57.
  32. Pinch TJ, Bijker WE. The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other. Social studies of science. 1984; 14(3):399-441.
  33. Nettleton S, Burrows R. E-scaped medicine? Information, reflexivity and health. Critical Social Policy. 2003; 23(2):165-85. doi: 10.1177/0261018303023002003.
  34. Nettleton S. The emergence of e-scaped medicine? Sociology. 2004;38(4):661-79. doi: 10.1177/0038038504045857.
  35. Kurvinen E, Koskinen I, Battarbee K. Prototyping social interaction. Design Issues. 2008; 24(3):46-57. doi: 1162/desi.2008.24.3.46.
  36. Lupton D. M-health and health promotion: The digital cyborg and surveillance society. Social Theory & Health. 2012; 10:229-44. doi: 1057/sth.2012.6.
  37. Rich E, Miah A. Mobile, wearable and ingestible health technologies: towards a critical research agenda. Health Sociology Review. 2017; 26(1):84-97. doi: 10.1080/14461242.2016.1211486.
  38. Mann S. Wearable computing: A first step toward personal imaging. Computer. 1997; 30(2):25-32. doi: 1109/2.566147.
  39. Mann S. " Reflectioriism" and" Diffusionism": New Tactics for Deconstructing the Video Surveillance Superhighway. Leonardo. 1998; 31(2):93-102.
  40. Mann S. Intelligent image processing. John Wiley & Sons, Inc.; 2001 Nov 1.
  41. Mann S, Ferenbok J. New Media and the power politics of sousveillance in a surveillance-dominated world. Surveillance & Society. 2013; 11(1/2):18-34. doi: 10.24908/ss.v11i1/2.4456.
  42. Mann S, Nolan J, Wellman B. Sousveillance: Inventing and using wearable computing devices for data collection in surveillance environments. Surveillance & society. 2003;1(3):331-55. doi: 10.24908/ss.v1i3.3344.
  43. Srivastava L. Mobile phones and the evolution of social behaviour. Behaviour & information technology. 2005; 24(2):111-29. doi: 10.1080/01449290512331321910
  44. Matic A, Osmani V, Mayora-Ibarra O. Analysis of social interactions through mobile phones. Mobile Networks and Applications. 2012; 17:808-19. doi: 1007/s11036-012-0400-4.
  45. Bayer JB, Ellison NB, Schoenebeck SY, Falk EB. Sharing the small moments: ephemeral social interaction on Snapchat. Information, communication & society. 2016; 19(7):956-77.
  46. Aranda-Jan C, Tech GA, Nique M, Tech GA, Pitcher S, Tech GA, Sibthorpe C, Tech GA. The Mobile Disability Gap Report 2020. London: GSMA. The Mobile Disability Gap Report. 2020;4:4.
  47. Bode M, Kristensen DB. The digital doppelgänger within. A study on self-tracking and the quantified self-movement. 2015.
  48. Sharon T. Self-tracking for health and the quantified self: Re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philosophy & Technology. 2017; 30(1):93-121. doi: 1007/s13347-016-0215-5.
  49. Ajana B. Digital health and the biopolitics of the Quantified Self. Digital health. 2017; 3:2055207616689509. doi: 10.1177/2055207616689509.
  50. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. Journal of medical Internet research. 2013; 15(5): e95. doi: 10.2196/jmir.2430.
  51. Deluca JM, Enmark R. E-health: the changing model of healthcare. Frontiers of health services management. 2000; 17(1):3-15.
  52. Tufano JT, Karras BT. Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends. Journal of medical Internet research. 2005 Dec 20;7(5): e467. doi: 2196/jmir.7.5.e58.
  53. Kerr C, Murray E, Stevenson F, Gore C, Nazareth I. Internet interventions for long-term conditions: patient and caregiver quality criteria. Journal of medical Internet research. 2006; 8(3): e500. doi: 2196/jmir.8.3.e13.
  54. Yee N. Motivations for play in online games. Cyber-Psychology & behavior. 2006; 9(6):772-5. doi:1089/cpb.2006.9.772.
  55. Bourret C. Data concerns and challenges in health: networks, information systems and electronic records. Data Science Journal. 2004; 3:96-113. doi: 10.2481/dsj.3.96.
  56. Tjora A, Tran T, Faxvaag A. Privacy vs usability: a qualitative exploration of patients' experiences with secure Internet communication with their general practitioner. Journal of Medical Internet Research. 2005; 7(2): e368. doi: 2196/jmir.7.2.e15.
  57. Istepanian R, Laxminarayan S, Pattichis CS, editors. M-health: Emerging mobile health systems. Springer Science & Business Media; 2007.
  58. Wiecha J, Pollard T. The interdisciplinary eHealth team: chronic care for the future. Journal of Medical Internet Research. 2004 Sep 3;6(3): e19. doi: 2196/jmir.6.3.e22.
  59. Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. Journal of medical Internet research. 2006 Jun 16;8(2): e506. doi: 2196/jmir.8.2.e9.
  60. Webster A. Innovative health technologies and the social: redefining health, medicine and the body. Current sociology. 2002; 50(3):443-57. doi: 10.1177/0011392102050003009.
  61. McPherson S, Wilkinson M. Health informatics and the cultural divide: a UK perspective. Health Informatics Journal. 2001;7(2):62-5. doi: 10.1177/146045820100700202.
  62. Brodie M, Flournoy RE, Altman DE, Blendon RJ, Benson JM, Rosenbaum MD. Health Information, The Internet, And The Digital Divide: Despite recent improvements, Americans' access to the Internet—and to the growing body of health information there—remains uneven. Health affairs. 2000; 19(6):255-65. doi: 1377/hlthaff.19.6.255.
  63. Williams L, Hayes GR, Guo Y, Rahmani A, Dutt N. HCI and mHealth wearable tech: A multidisciplinary research challenge. InExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems 2020; 1-7. doi: 10.1145/3334480.3375223.
  64. World Health Organization. Everybody's business--strengthening health systems to improve health outcomes: WHO's framework for action. https://apps.who.int/iris/handle/10665/43918.
  65. Dicianno BE, Parmanto B, Fairman AD, Crytzer TM, Yu DX, Pramana G, Coughenour D, Petrazzi AA. Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation. Physical therapy. 2015; 95(3):397-405. doi: 10.2522/ptj.20130534.
  66. Adibi H. Health: Its Implications within the Biomedical and Social Models of Health–a Critical Review. Cyber Journals: Multidisciplinary Journals of Science and Technology. 2014;4(2):16-23. doi: 10.1.1.443.350&rep=rep1&type=pdf.
  67. Currie WL, Seddon JJ. Social innovation in public health: can mobile technology make a difference? Information Systems Management. 2014; 31(3):187-99. doi: 10.1080/10580530.2014.923263.
  68. Cockerham WC. The sociology of health in the United States: recent theoretical contributions. Ciencia & saude coletiva. 2014; 19:1031-9. doi:10.1590/1413-81232014194.14872013.
  69. Peng C, He M, Cutrona SL, Kiefe CI, Liu F, Wang Z. Theme trends and knowledge structure on mobile health apps: Bibliometric analysis. JMIR mHealth and uHealth. 2020; 8(7): e18212. doi: 10.2196/18212.
  70. Ball E, Newton S, Rohricht F, Steed L, Birch J, Dodds J, Calvete CC, Taylor S, Rivas C. mHealth: providing a mindfulness app for women with chronic pelvic pain in gynaecology outpatient clinics: qualitative data analysis of user experience and lessons learnt. BMJ open. 2020; 10(3): e030711. doi: 10.1136/bmjopen-2019-030711.
  71. Janssen R, Engel N, Pant Pai N, Esmail A, Dheda K, Thomas R, Krumeich A. ‘You're only there on the phone’? A qualitative exploration of community, affect and agential capacity in HIV self‐testing using a smartphone app. Sociology of health & illness. 2021; 43(3):591-606. doi: 10.1111/1467-9566.13242.
  72. Fontecha J, González I, Bravo J. A usability study of a mHealth system for diabetes self-management based on framework analysis and usability problem taxonomy methods. Journal of Ambient Intelligence and Humanized Computing. 2023; 14(1):5-15. doi: 10.1007/s12652-019-01369-0.
  73. Marent B, Henwood F, Darking M, EmERGE Consortium. Ambivalence in digital health: Co-designing an mHealth platform for HIV care. Social Science & Medicine. 2018; 215:133-41. doi: 10.1016/j.socscimed.2018.09.003.
  74. Mavhemwa PM, Muzurura O. Evaluating the effectiveness of m-health based Diabetes Self-Management and community based networking. 2013.
  75. Stephen DA, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care–An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders. 2022; 22(1):138. doi: 1186/s12902-022-01039-x.
  76. Azim DH, Ghazi AM, Ong SH, Majid HS, Morgan K, Hickey A. Improving physical and psychological outcomes of cardiac patients using the Naluri app: A study protocol for a randomized controlled trial. HRB Open Research. 2022; 5(75):75. doi: 12688/hrbopenres.13629.1.
  77. Zhou C, Hu H, Wang C, Zhu Z, Feng G, Xue J, Yang Z. The effectiveness of mHealth interventions on postpartum depression: a systematic review and meta-analysis. Journal of telemedicine and telecare. 2022; 28(2):83-95. doi: 1177/1357633X20917816.
  78. Alzahrani A, Gay V, Alturki R. Impact of Mobile Technology Solution on Self-Management in Patients with Hypertension: Advantages and Barriers. International Journal of Advanced Computer Science and Applications. 2022;13(11). doi: 14569/IJACSA.2022.0131106.
  79. Dahdah MA, Kumar A, Quet M. Empty stocks and loose paper: Governing access to medicines through informality in Northern India. International Sociology. 2018; 33(6):778-95. doi: 10.177/026850918792779.
  80. Nahar P, Kannuri NK, Mikkilineni S, Murthy GV, Phillimore P. mHealth and the management of chronic conditions in rural areas: a note of caution from southern India. Anthropology & medicine. 2017; 24(1):1-6. doi: 10.1080/13648470.2016.1263824.
  81. Ojo AI. mHealth interventions in South Africa: A review. Sage Open. 2018; 8(1):2158244018767223. doi: 10.1177/258244018767223223.
  82. Salomonsson A. mHealth: Mobile phones in HIV prevention in Uganda. 2010.
  83. Marent B, Henwood F. 21 Digital health. Routledge international handbook of critical issues in health and illness. 2021. https://www.routledge.com/Routledge-International-Handbook-of-Critical-Issues-in-Health-and-Illness/Chamberlain- Lyons/p/book/9781032027951.
  84. Petersen AR, Bunton R, editors. Foucault, health and medicine. Psychology Press; 1997.
  85. Joo E, Kononova A, Kanthawala S, Peng W, Cotten S. Smartphone users’ persuasion knowledge in the context of consumer mHealth apps: qualitative study. JMIR mHealth and uHealth. 2021; 9(4): e16518.doi: 10.2196/16518.
  86. Nebeker C. mHealth research applied to regulated and unregulated behavioral health sciences. Journal of Law, Medicine & Ethics. 2020;48(S1):49-59. doi: 1177/1073110520917029.
  87. Oeldorf-Hirsch A, High AC, Christensen JL. Count your calories and share them: Health benefits of sharing mHealth information on social networking sites. Health Communication. 2019; 34(10):1130-40. doi: 10.1080/10410236.2018.1465791.
  88. Presset B, Kramer JN, Kowatsch T, Ohl F. The social meaning of steps: user reception of a mobile health intervention on physical activity. Critical Public Health. 2021; 31(5):605-16. doi: 10.1080/09581596.2020.1725445.
  89. Al Dahdah M. Health at her fingertips: development, gender and empowering mobile technologies. Gender, Technology and Development. 2017; 21(1-2):135-51. doi: 10.1080/09718524.2017.1385701.
  90. Faiola A, Holden RJ. Consumer health informatics: empowering healthy-living-seekers through mHealth. Progress in cardiovascular diseases. 2017; 59(5):479-86. doi: 10.1016/j.pcad.2016.12.006.
  91. Šimenc J. mHealth and Self-quantification in Health Promotion: Some Critical Considerations. InInformatica medica Slovenica 2016; 21(2), 14-20. Slovenian Medical Informatics Association (SIMIA).
  92. Grindrod KA, Li M, Gates A. Evaluating user perceptions of mobile medication management applications with older adults: a usability study. JMIR mHealth and uHealth. 2014;2(1): e3048. doi: 10.2196/mhealth.3048.
  93. Amanda G, Layman CV. Examining the Intention to Use Mobile Health Applications Amongst Indonesians. Milestone: Journal of Strategic Management. 2022; 2(2):103-17. doi: 19166/ms.v2i2.5924.
  94. Gulec H, Smahel D. Individual and Parental Factors of Adolescents’ mHealth App Use: Nationally Representative Cross-sectional Study. JMIR mHealth and uHealth. 2022; 10(12): e40340. doi: 2196/40340.
  95. Peprah P, Abalo EM, Agyemang-Duah W, Gyasi RM, Reforce O, Nyonyo J, Amankwaa G, Amoako J, Kaaratoore P. Knowledge, attitude, and use of mHealth technology among students in Ghana: A university-based survey. BMC medical informatics and decision making. 2019; 19:1-1. doi: 10.1186/s12911-019-0947-0.
  96. Cobelli N, Chiarini A. Improving customer satisfaction and loyalty through mHealth service digitalization: New challenges for Italian pharmacists. The TQM Journal. 2020; 32(6):1541-60. doi: 10.1108/TQM-10-2019-0252.
  97. Alshawmar M, Mombini H, Tulu B, Vaghefi I. Investigating the affordances of wellness mHealth apps.
  98. Radcliffe E, Lippincott B, Anderson R, Jones M. A pilot evaluation of mHealth app accessibility for three top-rated weight management apps by people with disabilities. International Journal of Environmental Research and Public Health. 2021; 18(7):3669. doi: 10.3390/ijerph18073669.
  99. Hardy III JH, Day EA, North MN, Rockwood J. Unpacking on-task effort in performance-based learning: Information–knowledge gaps guide effort allocation decisions. Journal of Applied Psychology. 2023; doi: 10.1037/apl0001140.
  100. Kraaij W, Verberne S, Koldijk S, de Korte E, van Dantzig S, Sappelli M, Shoaib M, Bosems S, Achterkamp R, Bonomi A, Schavemaker J. Personalized support for well-being at work: an overview of the SWELL project. User modeling and user-adapted interaction. 2020; 30:413-46.
  101. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: a mixed method study. Health Policy and Technology. 2017; 6(3):251-67.
  102. Aboelmaged M, Hashem G, Mouakket S. Predicting subjective well-being among mHealth users: a readiness–value model. International Journal of Information Management. 2021; 56:102247. doi: 10.1016/j.ijinfomgt.2020.102247.
  103. Lupton D. Introducing digital sociology. Sydney: University of Sydney. 2013.
  104. Lupton D. Quantifying the body: monitoring and measuring health in the age of mHealth technologies. Critical public health. 2013; 23(4):393-403. doi: 10.1080/09581596.2013.794931.
  105. Lupton D. Self-tracking cultures: towards a sociology of personal informatics. InProceedings of the 26th Australian computer-human interaction conference on designing futures: The future of design 2014; 77-86. doi: 10.1145/2686612.2686623.
  106. Lupton D. Apps as artefacts: Towards a critical perspective on mobile health and medical apps. Societies. 2014; 4(4):606-22. doi: 10.3390/soc4040606.
  107. Lupton D. Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps. Culture, health & sexuality. 2015; 17(4):440-53. doi: 1080/13691058.2014.920528.
  108. Lupton D. The diverse domains of quantified selves: self-tracking modes and dataveillance. Economy and Society. 2016; 45(1):101-22. doi: 1080/03085147.2016.1143726.
  109. Whittaker R. Issues in mHealth: findings from key informant interviews. Journal of medical Internet research. 2012; 14(5): e129.
  110. Ginige JA, Maeder AJ, Long V. Evaluating success of mobile health projects in the developing world. Global Telehealth 2014. 2014:7-19.
  111. Ade A, Chethana KV, Mane A, Hiremath SG. Non-communicable diseases: Awareness of risk factors and lifestyle among rural adolescents. Int J Biol Med Res. 2014;5(1):3769-71. doi: 10.1.1.643.1161&rep=rep1&type=pdf.
  112. Agarwal S, Labrique A. Newborn health on the line: the potential mHealth applications. Jama. 2014; 312(3):229-30. doi: 1001/jama.2014.6371.
  113. Al Dahdah M, Kumar A. Mobile Phones for Maternal Health in Rural Bihar. Economic and political weekly. 2018; 53(11):50-7.
  114. Alben L. Quality of experience: defining the criteria for effective interaction design. interactions. 1996; 3(3):11-5. doi: 10.1145/235008.235010.
  115. Almalki M, Gray K, Sanchez FM. The use of self-quantification systems for personal health information: big data management activities and prospects. Health information science and systems. 2015; 3:1-1. doi: 1186/2047-2501-3-S1-S1.
  116. Anand T, Phalguna K, Kishore J, Ingle GK. Awareness about lifestyle diseases associated risk factors in school going children in Delhi. J Nurs Sci Pract. 2011; 1:1-9.
  117. Andrews J. History of medicine: Health, medicine and disease in the eighteenth century. Journal for Eighteenth‐Century Studies. 2011; 34(4):503-15. doi: 1111/j.1754-0208.2011.00448.x.
  118. Whetton S. Health informatics: Who am I (and does it really matter?). Proceedings from: Westbrook, J. and Callen, J.(Eds.), HIC. 2006:1-5.
  119. Barrett MA, Humblet O, Hiatt RA, Adler NE. Big data and disease prevention: from quantified self to quantified communities. Big data. 2013 Sep 1;1(3):168-75. doi: 10.1089/big.2013.0027.
  120. Bauman Z. Consuming life. John Wiley & Sons; 2013.
  121. Beck U. Risk society: Towards a new modernity. sage; 1992.
  122. Bentham J. Panopticon: or, The inspection-house. Containing the idea of a new principle of construction applicable to any sort of establishment, in which persons of any description are to be kept under inspection, etc. Thomas Byrne; 1791.
  123. Bostoen K, et al. Methods for health surveys in difficult settings: charting progress, moving forward. Emerging Themes in Epidemiology, 2007, 4(13).
  124. Boyer R. How scientific breakthroughs and social innovations shape the evolution of the healthcare sector. Innovation beyond technology: Science for society and interdisciplinary approaches. 2019:89-119. doi: 10.1007/978-981-13-9053-15.
  125. Butterfield AD. Ethnographic assessment of quantified self-meetup groups. Unpublished Doctoral dissertation, San José State University. 2012.
  126. Castiglioni, A., & Krumbhaar EB. A history of medicine. New York: AA Knopf. 1941.
  127. Corker J. Ligne Verte” toll-free hotline: using cell phones to increase access to family planning information in the Democratic Republic of Congo. Cases in Public Health Communication & Marketing. 2010; 4:23-37.
  128. Coveney J. The government and ethics of health promotion: The importance of Michel Foucault. Health Education Research. 1998; 13(3):459-68. doi: 10.1093/her/13.3.459
  129. Cozad MJ, Crum M, Tyson H, Fleming PR, Stratton J, Kennedy AB, Lindley LC, Horner RD. Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation. JMIR mHealth and uHealth. 2022; 10(12): e39881. doi: 2196/39881.
  130. DeBakey ME. Telemedicine has now come of age. Telemedicine Journal. 1995;1(1):3-4. doi: 10.1089/tmj.1.1995.1.3.
  131. Derksen ME, Jaspers MW, Kunst AE, Fransen MP. Usage of digital, social and goal-setting functionalities to support health behavior change: A mixed methods study among disadvantaged women during or after pregnancy and their healthcare professionals. International Journal of Medical Informatics. 2023; 170:104981. doi: 1016/j.ijmedinf.2022.104981.
  132. Descartes R. Meditations on the first philosophy. In: Hitchins R. M, editor. Great Books of the Western World.New York: Encyclopaedia Britannica; 1952.
  133. Dhawan AP, Heetderks WJ, Pavel M, Acharya S, Akay M, Mairal A, Wheeler B, Dacso CC, Sunder T, Lovell N, Gerber M. Current and future challenges in point-of-care technologies: a paradigm-shift in affordable global healthcare with personalized and preventive medicine. IEEE journal of translational engineering in health and medicine. 2015; 3:1-0. doi: 1109/JTEHM.2015.2400919.
  134. Eknoyan G. Santorio Sanctorius (1561–1636)–founding father of metabolic balance studies. American journal of nephrology. 1999; 19(2):226-33. doi: 1159/000013455.
  135. Fayezeen T.mHealth support system for researchers and participants (Doctoral dissertation, Marquette University).
  136. Filkins BL, Kim JY, Roberts B, Armstrong W, Miller MA, Hultner ML, Castillo AP, Ducom JC, Topol EJ, Steinhubl SR. Privacy and security in the era of digital health: what should translational researchers know and do about it? American journal of translational research. 2016; 8(3):1560.
  137. Forlizzi J, Battarbee K. Understanding experience in interactive systems. InProceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques 2004; 261-268. doi: 10.1145/1013115.1013152.
  138. Fotopoulou A, O’Riordan K. Training to self-care: Fitness tracking, biopedagogy and the healthy consumer. Health Sociology Review. 2017; 26(1):54-68. doi: 1080/14461242.2016.1184582.
  139. Fotopoulou A, O’Riordan K. Training to self-care: Fitness tracking, biopedagogy and the healthy consumer. Health Sociology Review. 2017; 26(1):54-68.
  140. Foucault M. Ethics: subjectivity and truth: essential works of Michel Foucault 1954-1984. Penguin UK; 2019.
  141. Foucoult M. Discipline and punish. A. Sheridan, Tr., Paris, FR, Gallimard. 1975.
  142. Friedland G. Discovery of the function of the heart and circulation of blood. Cardiovascular journal of Africa. 2009; 20(3):160.
  143. Ganascia JG. The generalized sousveillance society. Social science information. 2019; 49(3):489-507. doi: 1177/0539018410371027.
  144. Gimpel H, Nißen M, Görlitz R. Quantifying the quantified self: A study on the motivations of patients to track their own health. 2013.
  145. Goffman E. The presentation of self in everyday life. InSocial Theory Re-Wired 2016; 482-493. Routledge.
  146. Hebbar, J.V. ‘Atisara- Charaka Chikitsa Sthana, 19 Chapter’, 2015. [Online], Available: https://easyayurveda.com/2015/11/16/atisara-charaka-chikitsa-sthan-19/.
  147. Hess DJ. Bourdieu and Science Studies: Toward a reflexive sociology. Minerva. 2011; 49(3):333-48. doi: 1007/s11024-011-9178-y.
  148. Hood L, Auffray C. Participatory medicine: a driving force for revolutionizing healthcare. Genome medicine. 2013; 5:1-4. doi: 1186/gm514.
  149. Jabeen R, Salman MJ, Qazi I. Evidence of mobile health integration into primary health care systems for better maternal mental health in LMICs during COVID-19 pandemic. JPMA. 2023; 2,13-12. doi:47391/JPMA.5155.
  150. Kuhn TS. The structure of scientific revolutions. University of Chicago press; 2012.
  151. Lane N. The unseen world: reflections on Leeuwenhoek (1677) ‘Concerning little animals’. Philosophical Transactions of the Royal Society B: Biological Sciences. 2015; 370(1666):20140344. doi: 10.1098/rstb.2014.0344.
  152. Latour B. The promises of constructivism. Chasing technoscience: Matrix for materiality. 2003; 27-46.
  153. Latour B. Aramis, or the Love of Technology. Harvard University Press; 1996.
  154. Leavell HR, Clark EG. Textbook of preventive medicine. Textbook of Preventive Medicine. 1953.
  155. Lechevalier S, Laugier S. Innovation beyond technology—Introduction. Innovation Beyond Technology: Science for Society and Interdisciplinary Approaches. 2019; 1-21. doi: 10.1007/978-981-13-9053-11.
  156. Petrakaki D. Lupton, D. The Quantified Self: A Sociology of Self‐ Cambridge: Polity. 2016. 240 pp£ 15.99 (pbk)£ 50 (hbk) ISBN 978‐1‐5095‐0059‐8.
  157. Lupton D. Digital health: critical and cross-disciplinary perspectives. Routledge; 2017.
  158. Marcolino MS, Oliveira JA, D'Agostino M, Ribeiro AL, Alkmim MB, Novillo-Ortiz D. The impact of mHealth interventions: systematic review of systematic reviews. JMIR mHealth and uHealth. 2018; 6(1): e8873. doi: 2196/mhealth.8873.
  159. Meade K, Lam DM. A deployable telemedicine capability in support of humanitarian operations. Telemedicine and e-Health. 2007; 13(3):331-40. doi:1089/tmj.2006.0040.
  160. Mehra S, van den Helder J, Dadema T, Cila N, Visser B, Engelbert R, Weijs P, Kröse B. The design and usability testing of a mHealth application for supporting self-regulation of exercising older adults. In3rd UCL Centre for Behaviour Change Digital Health Conference 2017: Harnessing digital technology for behaviour change 2017. http://www.ucl.ac.uk/behaviour-change/events/cbc-conf17-abstracts.pdf.
  161. Moore A, Grime J, Campbell P, Richardson J. Troubling stoicism: Sociocultural influences and applications to health and illness behaviour. Health. 2013; 17(2):159-73. doi: 1177/1363459312451179.
  162. Muraleedharan VR. Technology, Competition and Costs of Medical Care: Some Emerging Issues and Policy Imperatives in India. Last accessed on. 2016.
  163. Neff G, Nafus D. Self-tracking. Mit Press; 2016.
  164. Olla P, Shimskey C. mHealth taxonomy: a literature survey of mobile health applications. Health and Technology. 2015; 4:299-308. doi: 1007/s12553-014-0093-8.
  165. Pinch T. The social construction of technology: A review. Technological change. 2012; 17-35. doi: 1177/016224390202700102.
  166. Qin M, Chen B, Sun S, Liu X. Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research. 2022; 24(12): e39799. doi: 2196/39799.
  167. Rowland S, Ramos AK, Trinidad N, Quintero S, Beller RJ, Struwe L, Pozehl B. Feasibility, Usability and Acceptability of a mHealth Intervention to Reduce Cardiovascular Risk in Rural Hispanic Adults: Descriptive Study. JMIR Formative Research. 2022; 6(12): e40379. doi: 2196/40379.
  168. Salins PL, Nair S, Kundapur PP, Pandey AK, Reshmi B, Mandapam SK. Effectiveness of an mHealth application on remote monitoring and self-management of persons with hypertension in a coastal taluk of Udupi district: A study protocol. F1000Research. 2022; 11(1393):1393. doi: 12688/f1000research.127131.1.
  169. Samarajiva R, Waidyanatha N. Two complementary mobile technologies for disaster warning. info. 2009; 11(2):58-65. doi: 1108/14636690910941885.
  170. Sanders R. Self-tracking in the digital era: Biopower, patriarchy, and the new biometric body projects. Body & Society. 2017; 23(1):36-63. doi: 10.1177/1357034X16660366.
  171. Schutz A, Luckmann T. The structures of the life-world. northwestern university press; 1973.
  172. Selke S, editor. Lifelogging: Digital self-tracking and Lifelogging-between disruptive technology and cultural transformation. Springer; 2016.
  173. Senapati S, Bharti N, Bhattacharya A. Modern lifestyle diseases: chronic diseases, awareness and prevention. Int J Curr Res Acad Rev. 2015;3(3):215-3.
  174. Shapin S. Descartes the doctor: Rationalism and its therapies. The British Journal for the History of Science. 2000; 33(2):131-54. doi: 10.1017/S000708749900391X.
  175. Smith GJ, Vonthethoff B. Health by numbers? Exploring the practice and experience of datafied health. Health Sociology Review. 2017; 26(1):6-21. doi: 1080/14461242.2016.1196600.
  176. Sujatha V. What could ‘integrative’medicine mean? Social science perspectives on contemporary Ayurveda. Journal of Ayurveda and Integrative Medicine. 2011; 2(3):115. doi: 4103/0975-9476.85549.
  177. Tahsin F, Austin T, McKinstry B, Mercer SW, Loganathan M, Thavorn K, Upshur R, Steele Gray C. Examining use behavior of a goal-supporting mHealth App in primary care among patients with multiple chronic conditions: qualitative descriptive study. JMIR Human Factors. 2022; 9(4): e37684. doi: 2196/37684.
  178. Van Dijk MR, Huijgen NA, Willemsen SP, Laven JS, Steegers EA, Steegers-Theunissen RP. Impact of an mHealth platform for pregnancy on nutrition and lifestyle of the reproductive population: a survey. JMIR mHealth and uHealth. 2016; 4(2): e5197. doi: 2196/mhealth.5197.
  179. Wellman B, Hampton K. Living networked in a wired world. Contemporary sociology. 1999; 28(6):648-54.
  180. Mock C, editor. Strengthening care for the injured: success stories and lessons learned from around the world. World Health Organization; 2010. https://www.who.int/publications/i/item/strengthening-care-for-the-injured-success-stories-and-lessons-learned-from-around-the-world.
آمار
تعداد مشاهده مقاله: 204
تعداد دریافت فایل اصل مقاله: 161


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب