Archive \ Volume.13 2022 Issue 4

Evidence-Based Treatment, assisted by Mobile Technology to Deliver, and Evidence-Based Drugs in South Asian Countries

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Abstract

Individual clinical experience is combined with the best possible external clinical data from systematic research in the practice of evidence-based medicine. Data-based treatment is a complete approach to treating healthcare problems that allow the best available research evidence to be combined with clinical experience and patient choices. Evidence-based medicine's obligations to the medical industry and allied areas in terms of creating a platform for integrating research findings into healthcare delivery and raising awareness of the need to take individual patient preferences into account. In terms of culture and medical practice, South Asian countries are different. This region has little understanding of evidence-based medicine. Evidence-based medications have been adopted in some parts of South Asia, according to multiple survey data, while it is yet unknown in others. Treatments for mobile phones are fast expanding, and a preliminary study indicates that South Asian countries could benefit from this technology as well. People can benefit from digital healthcare initiatives in a variety of ways, including improved skill-training opportunities in real-world situations, continual assistance from medical practitioners, and better drug management. Evidence-based medications will become more accessible and successful as a result of the combination of Evidence-based medications with mobile technologies. It will also allow for a timelier deployment of Evidence-based medications.


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Vancouver
Wal A, Khandai M, Vig H, Srivastava P, Agarwal A, Wadhwani S, et al. Evidence-Based Treatment, assisted by Mobile Technology to Deliver, and Evidence-Based Drugs in South Asian Countries. Arch Pharm Pract. 2022;13(4):63-73. https://doi.org/10.51847/D5zEaJVK6X
APA
Wal, A., Khandai, M., Vig, H., Srivastava, P., Agarwal, A., Wadhwani, S., & Wal, P. (2022). Evidence-Based Treatment, assisted by Mobile Technology to Deliver, and Evidence-Based Drugs in South Asian Countries. Archives of Pharmacy Practice, 13(4), 63-73. https://doi.org/10.51847/D5zEaJVK6X

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References

1.        Shafi S, Collinsworth AW, Richter KM, Alam HB, Becker LB, Bullock MR, et al. Bundles of care for resuscitation from hemorrhagic shock and severe brain injury in trauma patients—translating knowledge into practice. J Trauma Acute Care Surg. 2016;81(4):780-94.

2.        Brookman-Frazee L, Stahmer A, Stadnick N, Chlebowski C, Herschell A, Garland AF. Characterizing the use of research-community partnerships in studies of evidence-based interventions in children’s community services. Adm Policy Ment Health. 2016;43(1):93-104.

3.        Ishii LE, Tollefson TT, Basura GJ, Rosenfeld RM, Abramson PJ, Chaiet SR, et al. Clinical Practice Guideline: Improving Nasal Form and Function after Rhinoplasty. Otolaryngol Head Neck Surg. 2017;156(2_suppl):S1-S30.

4.        Peat JK, Mellis C, Williams K, Xuan W. Health science research: A handbook of quantitative methods. Routledge; 2020.

5.        van Beljouw I, Verhaak P, Prins M, Cuijpers P, Penninx B, Bensing J. Reasons and determinants for not receiving treatment for common mental disorders. Psychiatr Serv. 2010;61(3):250-7.

6.        Cleiren MP. Bereavement and adaptation: A comparative study of the aftermath of a death. Taylor & Francis; 2019.

7.        Amiri H, de Sitter A, Bendfeldt K, Battaglini M, Wheeler-Kingshott CA, Calabrese M, et al. Urgent challenges in quantification and interpretation of brain grey matter atrophy in individual MS patients using MRI. Neuroimage Clin. 2018;19:466-75.

8.        Meijnikman AS, De Block CE, Verrijken A, Mertens I, Corthouts B, Van Gaal LF. Screening for type 2 diabetes mellitus in overweight and obese subjects is made easy by the FINDRISC score. J Diabetes Complications. 2016;30(6):1043-9.

9.        Tanenbaum S. What patients know: evidence-based medicine and its discontents in the US. Eur J Pers Cent Healthc. 2014;2(2):162-5.

10.      Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn't. BMJ. 1996;312(7023):71-2.

11.      Krägeloh CU, Henning MA, Billington R, Hawken SJ. The relationship between quality of life and spirituality, religiousness, and personal beliefs of medical students. Acad Psychiatry. 2015;39(1):85-9.

12.      Vandeweerd JM, Kirschvink N, Clegg P, Vandenput S, Gustin P, Saegerman C. Is evidence-based medicine so evident in veterinary research and practice? History, obstacles, and perspectives. Vet J. 2012;191(1):28-34.

13.      Parkin HJ, Hepplestone S, Holden G, Irwin B, Thorpe L, Muir Gray JA. Evidence-based healthcare: How to make health policy and management decisions. London: Churchill Livingstone. Strand 6: Learning and teaching strategies. 1997;35(5):6.

14.      Molto A, Dougados M. Comorbidity indices. Clin Exp Rheumatol. 2014;32(5 Suppl 85):131-4.

15.      Keay S, Sargeant JM, O’Connor A, Friendship R, O’Sullivan T, Poljak Z. Veterinarian barriers to knowledge translation (KT) within the context of swine infectious disease research: an international survey of swine veterinarians. BMC Vet Res. 2020;16(1):1-7.

16.      Institute of Medicine (US) Committee on Standards for Developing Trustworthy Clinical Practice Guidelines. Clinical Practice Guidelines We Can Trust. Graham R, Mancher M, Miller Wolman D, Greenfield S, Steinberg E, editors. Washington (DC): National Academies Press (US); 2011. PMID: 24983061.

17.      Wardell D. Guideline evaluation. J Adv Pract Oncol. 2013;4(1):62.

18.      Samson D, Schoelles KM. Chapter 2: medical tests guidance (2) developing the topic and structuring systematic reviews of medical tests: utility of PICOTS, analytic frameworks, decision trees, and other frameworks. J Gen Intern Med. 2012;27 Suppl 1(Suppl 1):S11-9.

19.      López-Cano M, García-Alamino JM. Guidelines: Options and Limit. InThe Art of Hernia Surgery 2018 (pp. 79-88). Springer, Cham.

20.      Romanczyk RG, Callahan EH, Turner LB, Cavalari RN. Efficacy of behavioral interventions for young children with autism spectrum disorders: Public policy, the evidence base, and implementation parameters. Rev J Autism Dev Disord. 2014;1(4):276-326.

21.      Sargeant JM, O'Connor AM. Introduction to systematic reviews in animal agriculture and veterinary medicine. Zoonoses Public Health. 2014;61 Suppl 1:3-9.

22.      Vu-Ngoc H, Elawady SS, Mehyar GM, Abdelhamid AH, Mattar OM, Halhouli O, et al. Quality of flow diagram in systematic review and/or meta-analysis. PloS one. 2018;13(6):e0195955.

23.      Berwick DM. Avoiding overuse—the next quality frontier. Lancet. 2017;390(10090):102-4.

24.      Rubenstein JH, Pohl H, Adams MA, Kerr E, Holleman R, Vijan S, et al. Overuse of Repeat Upper Endoscopy in the Veterans Health Administration: A Retrospective Analysis. Am J Gastroenterol. 2017;112(11):1678-85.

25.      Greenhalgh T, Howick J, Maskrey N. Evidence Based Medicine Renaissance Group. Evidence based medicine: a movement in crisis? BMJ. 2014;348:g3725.

26.      Ma B, Qi GQ, Lin XT, Wang T, Chen ZM, Yang KH. Epidemiology, quality, and reporting characteristics of systematic reviews of acupuncture interventions published in Chinese journals. J Altern Complement Med. 2012;18(9):813-7.

27.      Armijo-Olivo S, da Costa BR, Cummings GG, Ha C, Fuentes J, Saltaji H, et al. Cochrane to assess the quality of clinical trials? A meta-epidemiological study. PloS one. 2015;10(7):e0132634.

28.      da Costa BR, Hilfiker R, Egger M. PEDro's bias: summary quality scores should not be used in meta-analysis. J Clin Epidemiol. 2013;66(1):75-7.

29.      Ide K, Yamada H, Kawasaki Y. Effect of gargling with tea and ingredients of tea on the prevention of influenza infection: a meta-analysis. BMC Public Health. 2016;16:396.

30.      Hariohm K, Prakash V, Saravankumar J. Quantity and quality of randomized controlled trials published by Indian physiotherapists. Perspect Clin Res. 2015;6(2):91.

31.      Shauly O, Gould DJ, Sahai-Srivastava S, Patel KM. Greater occipital nerve block for the treatment of chronic migraine headaches: a systematic review and meta-analysis. Plast Reconstr Surg. 2019;144(4):943-52.

32.      Nikbazm R, Rahimi Z, Moradi Y, Alipour M, Shidfar F. The effect of cranberry supplementation on Helicobacter pylori eradication in H. pylori-positive subjects: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Br J Nutr. 2021:1-10.

33.      Bradko V, Castillo H, Janardhan S, Dahl B, Gandy K, Castillo J. Towards guideline-based management of tethered cord syndrome in spina bifida: a global health paradigm shift in the era of prenatal surgery. Neurospine. 2019;16(4):715.

34.      Moynihan R, Henry D, Moons KG. Using evidence to combat overdiagnosis and overtreatment: evaluating treatments, tests, and disease definitions in the time of too much. PLoS Med. 2014;11(7):e1001655.

35.      Kwag KH, González-Lorenzo M, Banzi R, Bonovas S, Moja L. Providing doctors with high-quality information: an updated evaluation of web-based point-of-care information summaries. J Med Internet Res. 2016;18(1):e5234.

36.      Paynter R, Bañez LL, Erinoff E, Lege-Matsuura J, Potter S. Commentary on EPC methods: an exploration of the use of text-mining software in systematic reviews. J Clin Epidemiol. 2017;84:33-6.

37.      Paynter RA, Featherstone R, Stoeger E, Fiordalisi C, Voisin C, Adam GP. A prospective comparison of evidence synthesis search strategies developed with and without text-mining tools. J Clin Epidemiol. 2021;139:350-60.

38.      Sim I. Two ways of knowing: big data and evidence-based medicine. Ann Intern Med. 2016;164(8):562-3.

39.      McCartney M, Treadwell J, Maskrey N, Lehman R. Making evidence based medicine work for individual patients. BMJ. 2016;353:i2452

40.      Maragkos GA, Papavassiliou E, Stippler M, Filippidis AS. Civilian gunshot wounds to the head: prognostic factors affecting mortality: a meta-analysis of 1774 patients. J Neurotrauma. 2018;35(22):2605-14.

41.      Mushtaq MU, Gull S, Shad MA, Akram J. Socio-demographic correlates of the health-seeking behaviors in two districts of Pakistan's Punjab province. J Pak Med Assoc. 2011;61(12):1205.

42.      Ganesh A, Chari JK, Rajkumar M, Archana B, Balaji S. Awareness, attitude and obstacles in research among dental professionals in Chennai: an institutional-based survey.  Indian J Public Health. 2020;11(03):669.

43.      bait Fadhil BS, Al-Suqri MN, Saleem NE, AlKindi SS. Evidence-Based Decision-Making–A Review of Key Literature to Inform Development of a Model for the Council of Oman. Int Res. 2018;8(4).

44.      Wasay M, Khatri IA, Kaul S. Stroke in south Asian countries. Nat Rev Neurol. 2014;10(3):135-43.

45.      Hisham R, Liew SM, Ng CJ. A comparison of evidence-based medicine practices between primary care physicians in rural and urban primary care settings in Malaysia: a qualitative study. BMJ open. 2018;8(7):e018933.

46.      Chourey J, Prakash A. Good Evidence, Bad Linkages: A Review of Water and Health in South Asia. Asian J Water Environ Pollut. 2010;7(1):5-17.

47.      Akhtar S, Ahmed A, Randhawa MA, Atukorala S, Arlappa N, Ismail T, et al. Prevalence of vitamin A deficiency in South Asia: causes, outcomes, and possible remedies. J Health Popul Nutr. 2013;31(4):413.

48.      Marphatia AA, Ambale GS, Reid AM. Women's Marriage Age Matters for Public Health: A Review of the Broader Health and Social Implications in South Asia. Front Public Health. 2017;5:269.

49.      Alam K, Mahal A. The economic burden of angina on households in South Asia. BMC Public Health. 2014;14(1):1-2.

50.      Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behavior treatments. Br J Health Psychol. 2010;15(1):1-39.

51.      Nglazi MD, Bekker LG, Wood R, Hussey GD, Wiysonge CS. Mobile phone text messaging for promoting adherence to anti-tuberculosis treatment: a systematic review. BMC Infect Dis. 2013;13(1):1-6.

52.      Seto E, Leonard KJ, Cafazzo JA, Barnsley J, Masino C, Ross HJ. Mobile phone-based telemonitoring for heart failure management: a randomized controlled trial. J Med Internet Res. 2012;14(1):e1909.

53.      Schranz M, Di Caro GA, Schmickl T, Elmenreich W, Arvin F, Şekercioğlu A, et al. Swarm intelligence and cyber-physical systems: concepts, challenges and future trends. Swarm Evol Comput. 2021;60:100762.

54.      Topol EJ, Steinhubl SR, Torkamani A. Digital medical tools and sensors. Jama. 2015;313(4):353-4.

55.      Kumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, et al. Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med. 2013;45(2):228-36.

56.      Silva BM, Rodrigues JJ, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: A review of the current state in 2015. J Biomed Inform. 2015;56:265-72.

57.      Sankari Z, Adeli H. HeartSaver: A mobile cardiac monitoring system for auto-detection of atrial fibrillation, myocardial infarction, and atrioventricular block. ComputBiol Med. 2011;41(4):211-20.

58.      Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform DecisMak. 2012;12(1):1-31.

59.      Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. Pharm Ther. 2014;39(5):356-64.

60.      Al-Ghamdi S. Popularity and impact of using smart devices in medicine: experiences in Saudi Arabia. BMC Public Health. 2018;18(1):1-7.

61.      Capraş RD, Bolboacă SD. An evaluation of free medical applications for android smartphones. Appl Med Inform. 2016;38(3-4):117-32.

62.      Kamel Boulos MN, Giustini DM, Wheeler S. Instagram and WhatsApp in health and healthcare: An overview. Future internet. 2016;8(3):37.

63.      Neto OB, Loyo R, Albuquerque J, Perazzo J, Barbosa V, Barbosa CS. Using mobile technology to conduct epidemiological investigationsRev Soc Bras Med Trop. 2015;48:105-7.

64.      Kullar R, Goff DA. Transformation of antimicrobial stewardship programs through technology and informatics. Infect Dis Clin. 2014;28(2):291-300.

65.      Ben-Mussa A, Paget AM. Popular apps in the medical category targeting patients and the general public in the United Kingdom: Do they conform to the Health On the Net Foundation principles? Health Inform J. 2018;24(3):259-76.

66.      Roughley M, MacDougall L, Erolin C. Cystic Fibrosis: A Pocket Guide. J Visual Commun Med. 2020;43(4):198-210.

67.      Alturki R. Research onion for smart IoT-enabled mobile applications. Sci Program. 2021;2021.

68.      Lewis TL, Wyatt JC. mHealth and mobile medical apps: a framework to assess risk and promote safer use. J Med Internet Res. 2014;16(9):e3133.

69.      Zhao J, Freeman B, Li M. Can mobile phone apps influence people’s health behavior change? An evidence review. J Med Internet Res. 2016;18(11):e5692.

70.      Glasgow RE, Harden SM, Gaglio B, Rabin B, Smith ML, Porter GC, et al. RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review. Front Public Health. 2019;7:64.

71.      Sharma S, Kumari B, Ali A, Yadav RK, Sharma AK, Sharma KK, et al. Mobile technology: A tool for healthcare and a boon in a pandemic. J Prim Care Spe. 2022;11(1):37.

72.      Sahu KS, Majowicz SE, Dubin JA, Morita PP. NextGen Public Health Surveillance and the Internet of Things (IoT). Front Public Health. 2021;9:756675.

73.      Abd Elhameed Ali R, Ahmed Ghaleb A, Abokresha SA. COVID-19 related knowledge and practice and barriers that hinder adherence to preventive measures among the Egyptian community. An epidemiological study in Upper Egypt. J Public Health Res. 2021;10(1):1943.

74.      Wang C, Wang D, Abbas J, Duan K, Mubeen R. Global Financial Crisis, Smart Lockdown Strategies, and the COVID-19 Spillover Impacts: A Global Perspective Implications From Southeast Asia. Front Psychiatry. 2021;12:643783.

75.      Madaan G, Swapna HR, Kumar A, Singh A, David A. Enactment of sustainable technovations on healthcare sectors. AP JHM. 2021;16(3):184-92.

76.      Zheng M. Surveillance and disease control in COVID-19: Big data application in public health. InInternational Conference on Applications and Techniques in Cyber Security and Intelligence 2021 Jun 19 (pp. 565-570). Springer, Cham.

77.      Aadhith R, Devi PB. Passive Immunotherapeutic Approaches for Treating Covid-19: A Comprehensive Review. Int J Pharm Res Allied Sci. 2022;11(2):52-61.

78.      Bhardwaj M, Kapila R, Neha A, Jain R, Mittal P, Suri M. Awareness, Perceived Risk, and Protective Behavior Towards Covid-19 Among Undergraduate Students of Delhi and NCR, India. Int J Pharm Res Allied Sci. 2022;11(3):71-80.


 


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