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Tytuł pozycji:

Effectiveness of an mHealth application to improve hypertension health literacy in India.

Tytuł:
Effectiveness of an mHealth application to improve hypertension health literacy in India.
Autorzy:
Garner SL; Baylor University - Louise Herrington School of Nursing, Dallas, Texas, USA.
George CE; Bangalore Baptist Hospital, Hebbal, Bengaluru, Karnataka, India.
Young P; Hankamer School of Business, Baylor University, Waco, Texas, USA.
Hitchcock J; Department of Art, Baylor University, Waco, Texas, USA.
Koch H; Hankamer School of Business, Baylor University, Waco, Texas, USA.
Green G; Hankamer School of Business, Baylor University, Waco, Texas, USA.
Mahid Z; Baylor University, Waco, Texas, USA.
Norman G; Community Health Department, Bangalore Baptist Hospital, Bengaluru, Karnataka, India.
Źródło:
International nursing review [Int Nurs Rev] 2020 Dec; Vol. 67 (4), pp. 476-483. Date of Electronic Publication: 2020 Aug 07.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Publication: Oxford, UK : Blackwell Science Ltd.
Original Publication: Geneva, International Council of Nurses.
MeSH Terms:
Health Literacy*
Hypertension*/prevention & control
Telemedicine*
Humans ; India
References:
Baig, N., Ting-Toomey, S. & Dorjee, T. (2014) Intergenerational Narratives on Face: A South Asian Indian American Perspective. Journal of International and Intercultural Communication, 7, 127-147. https://doi.org/10.1080/17513057.2014.898362.
Cohen, J. (1988) Statistical power analysis for the behavioral sciences, 2nd edn., L. Erlbaum Associates, Hillsdale, N.J.
Devi, P., et al. (2013) Prevalence, risk factors and awareness of hypertension in India: a systematic review. Journal of Human Hypertension, 27, 281-287. https://doi.org/10.1038/jhh.2012.33.
Garner, S.L., Sudia, T. & Rachaprolu, S. (2018) Smart phone accessibility and mHealth use in a limited resource setting. International Journal of Nursing Practice, 24, e12609. https://doi.org/10.1111/ijn.12609.
George, C.E., et al. (2019). Health issues in a Bangalore slum: findings from a household survey using a mobile screening toolkit in Devarajeevanahalli. BMC Public Health. 19: 456. https://doi.org/10.1186/s12889-019-6756-7.
Kamath, A. (2013) Evaluation of health literacy status among patients in a tertiary care hospital in coastal Karnataka, India. Journal of Clinical and Diagnostic Research, 7 (11), 2551-2554. https://doi.org/10.7860/JCDR/2013/6120.3608.
Kusuma, Y.S., Gupta, S.K. & Pandav, C.S. (2013) Treatment seeking behaviour in hypertension: factors associated with awareness and medication among socioeconomically disadvantaged migrants in Delhi, India. Collegium Antropology, 37, 717.
Lucci, P., Bhatkal, T. & Khan, A. (2018) Are we underestimating urban poverty? World Development, 103, 297-310. https://doi.org/10.1016/j.worlddev.2017.10.022.
Pednekar, M.S., Gupta, R. & Gupta, P.C. (2011) Illiteracy, low educational status, and cardiovascular mortality in India. BMC Public Health, 11, 567. https://doi.org/10.1186/1471-2458-11-567.
Piette, J.D., et al. (2015) Mobile health devices as tools for worldwide cardiovascular risk reduction and disease management. Circulation, 132, 2012-2027. https://doi.org/10.1161/CIRCULATIONAHA.114.008723.
Rehman, H., et al. (2017) Mobile health (mHealth) technology for the management of hypertension and hyperlipidemia: slow start but loads of potential. Current Atherosclerosis Reports, 19, 12. https://doi.org/10.1007/s11883-017-0649-y.
Sahoo, M., Kohli, C. & Kishore, J. (2015) Health literacy levels among outpatients at a tertiary hospital in Delhi, India. International Journal of Medical Students, 3, 29-33. https://doi.org/10.5195/ijms.2015.110.
Singh, R. (2016) Literacy in India: Planning, persuasion and prospect. Transylvanian Journal of Multidisciplinary Research in Humanities, 21, 103-112.
Sondaal, S.F.V., et al. (2016) Assessing the effect of mHealth interventions in improving maternal and neonatal care in low- and middle-income countries: A systematic review. PLoS One, 11, e0154664. https://doi.org/10.1371/journal.pone.0154664.
The India State Level Disease Burden Initiative Collaborators (2017) Nations within a nation: Variations in epidemiological transition acrosss the states of India, 1990-2016 in the Global Burden Disease Study. The Lancet, 390, 2437-2460. http://dx.doi.org/10.1016/S0140-6736(17)32804-0.
Vedanthan, R., et al. (2015) Usability and feasibility of a tablet-based Decision-Support and Integrated Record-keeping (DESIRE) tool in the nurse management of hypertension in rural western Kenya. International Journal of Medical Informatics, 84, 207-219. https://doi.org/10.1016/j.ijmedinf.2014.12.005.
Venkateshmurthy, N., et al. (2018) m-Power Heart Project - a nurse care coordinator led, mHealth enabled intervention to improve the management of hypertension in India: study protocol for a cluster randomized trial. Trials, 19, 429. https://doi.org/10.1186/s13063-018-2813-2.
WHO Global Observatory for eHealth, World Health Organization (2011). mHealth: New horizons for health through mobile technologies. (No. 3), Global Observatory for eHealth series. https://www.who.int/goe/publications/goe_mhealth_web.pdf (accessed 1 June 2019).
World Health Organization (2014) Health literacy toolkit for low- and middle-income countries SEARO. http://www.searo.who.int/healthpromotion/documents/hl_tookit/en/ accessed 1 June 2019.
World Health Organization (2019) WHO guideline: Recommendations on Digital Interventions for Health System Strengthening. https://www.who.int/publications-detail/who-guideline-recommendations-on-digital-interventions-for-health-system-strengthening accessed 1 June 2019 .
Zhang, Z. (2016) Variable selection with stepwise and best subset approaches. Annals of Translational Medicine, 4, 136. https://doi.org/10.21037/atm.2016.03.35.
Zhou, B. (2017) Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. The Lancet, 389, 37-55. https://doi.org/10.1016/S0140-6736(16)31919-5.
Grant Information:
Baylor University Social Innovation Collaborative Grant
Contributed Indexing:
Keywords: India; health literacy; hypertension; mHealth; mobile health
Entry Date(s):
Date Created: 20200809 Date Completed: 20211125 Latest Revision: 20220419
Update Code:
20240105
DOI:
10.1111/inr.12616
PMID:
32767464
Czasopismo naukowe
Aim: The purpose of this research was to determine the effectiveness of a mobile health or mHealth application to improve hypertension health literacy among vulnerable populations in India. Additionally, we sought to estimate relationships between participant knowledge on hypertension and sociodemographic variables.
Background: The World Health Organization advocates for the use of mobile technology to improve public health outcomes.
Introduction: The incidence of hypertension is on the rise in India, and effective and sustainable interventions are needed.
Methods: A quantitative single arm pre-test post-test interventional and correlational design was used to test the hypertension mHealth application among participants in a limited resource setting. A paired t-test was performed to compare pre- and post-test results after participant use of the mHealth application. A regression model was used to estimate relationships between participant hypertension health literacy and sociodemographic variables.
Results: A statistically significant improvement in test scores among participants after use of the mHealth app was found. Sociodemographic characteristics such as living in an urban environment, married, increased number of people living in household and alcohol use were determined to have a statistically significant effect on improvement of test score.
Discussion: Results indicated the application was effective among participants with varied literacy and health literacy levels. These findings contribute to the potential widespread scalability of the app among populations with varied demographics.
Conclusion: This application provides an effective and valuable culturally tailored educational resource for nurses and other health providers to use to improve hypertension health literacy among vulnerable populations in India.
Implications for Nursing Practice and Health Policy: This study contributes to nursing and health policy by answering a call from the World Health Organization to implement and research mHealth interventions to improve health outcomes, particularly in a low and middle income country where preventive health access is limited.
(© 2020 International Council of Nurses.)

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