Assessment of knowledge about healthy heart habits in urban and rural population of Punjab after SMS campaign—A cross-sectional study
Open accessAbstract
OBJECTIVE: The prevalence of cardiovascular diseases (CVD) is increasing in developing countries but the awareness regarding prevention and treatment of these diseases is still low. Therefore the present study was conducted with the aim of imparting health education regarding certain changes in lifestyle and dietary habits among general population through the use of short message service (SMS) that may lead to improved knowledge about prevention of cardiovascular diseases. METHODS: This cross-sectional study was conducted over a period of seven months. In the first phase, health education messages were sent through SMS to about 40,000 individuals from urban and rural population in Punjab. Twenty eight messages were sent to each individual and hence more than eleven lakh messages were sent over a period of six months. A questionnaire containing 11 questions based on these health education SMS was generated. Every 40th individual enrolled in the study was contacted on phone, and their responses noted. The data so collected was analyzed for correct responses. RESULTS: Complete responses could be obtained from 800 participants (males: 561 and females: 239). The participants giving correct responses to different questions ranged from 43% to 94%. Majority of participants could retain knowledge about many aspects of healthy heart habits provided by SMS except for topics concerning foods to be avoided, target for normal BP and precautions to be taken before BP measurement. CONCLUSIONS: Health related information imparted through SMS can act as a very effective tool for disseminating knowledge about prevention of heart diseases in general population.
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Infectious diseases and chronic diseases were the second most prevalent health outcomes, each with a frequency of 8 of 30 articles (27%).
“Infectious diseases and chronic diseases were the second most prevalent health outcomes, with a frequency of each of 8 of 30 (27%) articles [36,39-44,49-51].”
From Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review (2019) · cites this paper as [49]
Patients have reported feeling more confident in their treatment through simple text messaging.
“Through simple text messaging, patients have reported that they felt more confident in their treatment [49].”
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Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · see citing works
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213 · cited 1× · see citing works
“SMS can send information simultaneously to many people in real time which can be used for spreading health education messages in the community.(5,6) Health education through text messages could encompass primordial, primary and secondary prevention by bringing changes in the * Corresponding author at: Dept.”
BackgroundMobile Text Messaging for Health: A Systematic Review of Reviews
Hall, A. K., Cole-Lewis, H., & Bernhardt, J. M. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031914-122855 · Cited by 815 · see citing works
Chow, C. K., Redfern, J., Hillis, G. S., Thakkar, J., Santo, K., Hackett, M. L., Jan, S., Graves, N., de Keizer, L., Barry, T., et al. (2015) · JAMA · doi:10.1001/jama.2015.10945 · Cited by 676 · see citing works
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467 · see citing works
Ramachandran, A., Snehalatha, C., Ram, J., Selvam, S., Simon, M., Nanditha, A., Shetty, A. S., Godsland, I. F., Chaturvedi, N., Majeed, A., et al. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70067-6 · Cited by 330 · see citing works
Trends in Coronary Heart Disease Epidemiology in India
Gupta, R., Mohan, I., & Narula, J. (2016) · Annals of Global Health · doi:10.1016/j.aogh.2016.04.002 · Cited by 323 · see citing works
Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management
Piette, J. D., List, J. M., Rana, G., Townsend, W. A., Striplin, D., & Heisler, M. (2015) · Circulation · doi:10.1161/circulationaha.114.008723 · Cited by 223 · see citing works
Short Message Service (SMS) Applications for Disease Prevention in Developing Countries
Déglise, C., Suggs, L. S., & Odermatt, P. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1823 · Cited by 206 · see citing works
"Sweet Talk": Text Messaging Support for Intensive Insulin Therapy for Young People with Diabetes
Franklin, V. L., Waller, A., Pagliari, C., & Greene, S. A. (2003) · Diabetes Technology & Therapeutics · doi:10.1089/152091503322641042 · Cited by 137 · see citing works
Mobile phone text messaging can help young people manage asthma
Neville, R. G., Greene, A., McLeod, J., Tracy, A., & Surie, J. (2002) · BMJ · doi:10.1136/bmj.325.7364.600/a · Cited by 124 · see citing works
Pfammatter, A. F., Spring, B. J., Saligram, N., Davé, R., Gowda, A., Blais, L. M., Arora, M., Ranjani, H., Ganda, O. P., Hedeker, D., et al. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5712 · Cited by 84 · see citing works
Smith, R. W., Menon, J. C., Rajeev, J. G., Feinberg, L. J., Kumar, R., & Banerjee, A. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-009367 · Cited by 52 · see citing works
Gonzales, R., Anglin, M. D., & Glik, D. C. (2013) · Health Education Research · doi:10.1093/her/cyt094 · Cited by 27 · see citing works
Knowledge regarding preventive measures of heart disease among the adult population in Kathmandu
Pandey, R. A., & Khadka, I. (2012) · Health · doi:10.4236/health.2012.49094 · Cited by 13 · see citing works
A Survey of Coronary Heart Disease Knowledge in a Sample of Hong Kong Chinese
Chan, C. W., López, V., & Chung, J. W. Y. (2010) · Asia Pacific Journal of Public Health · doi:10.1177/1010539509345869 · Cited by 12 · see citing works
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- [13]Neville Ron Greene Alexandra McLeod John Tracy Andrew Surie John Mobile phone text messaging can help young people manage asthma BMJ 325 7364 2002 600 PMC1124119 12228151
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Kruse, C., Betancourt, J., Ortiz, S., Valdes Luna, S. M., Bamrah, I. K., & Segovia, N. (2019) · Journal of Medical Internet Research · doi:10.2196/13263 · Cited by 299 · see citing works
- Authors
- Mohan, B., Sharma, S., Sharma, S., Kaushal, D., Singh, B., Takkar, S., Aslam, N., Goyal, A., & Wander, G. S.
- Affiliations
- Dayanand Medical College & Hospital (IN)
- Corresponding author
- Sharma, Sarit
- Venue
- Indian Heart Journal
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 69
- Issue
- 4
- Pages
- 480-484
- ISSN
- 0019-4832 (ISSN-L)
- PMC
- PMC5560893
- OpenAlex
- W2613882991
- Cited by
- 13
- References
- 16
- Citations by year
- 2024: 1 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 1 · 2017: 1
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Indian Heart Journal (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Social Sciences › Health › Social Media in Health Education
- Keywords
- cardiovascular disease prevention, mobile health messaging, health knowledge, lifestyle modification, dietary habits, blood pressure, urban-rural comparison, Punjab
- MeSH terms
- Adult, Cardiovascular Diseases, Cross-Sectional Studies, Female, Follow-Up Studies, Habits, Health Education, Humans, India, Male, Middle Aged, Morbidity, Surveys and Questionnaires, Retrospective Studies, Rural Population, Time Factors, Urban Population, Health Behavior, Text Messaging
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