Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review

Hoirun Nisa; Fadi Barsbay

doi:10.14710/nmjn.v12i1.41139

DOI: https://doi.org/10.14710/nmjn.v12i1.41139

Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review

*Hoirun Nisa

- Faculty of Health Sciences, Syarif Hidayatullah State Islamic University, Indonesia

Fadi Barsbay - The University of New Orleans, United States

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

BibTex Citation Data :

@article{NMJN41139,
    author = {Hoirun Nisa and Fadi Barsbay},
    title = {Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review},
    journal = {Nurse Media Journal of Nursing},
  volume = {12},
    number = {1},
    year = {2022},
    keywords = {Adults, cardiometabolic risk, chronic disease, digital health},
    abstract = {  Background:  The prevalence of chronic diseases is rapidly increasing globally.  Ubiquitous digital technologies give an opportunity for digital health intervention to improve cardiometabolic risk (CMR) profile that may consequently decrease the risk of chronic diseases. However, evidence on digital health associated with chronic disease interventions remains controversial.   Purpose:  This systematic review aimed to determine the association of digital health intervention with improving CMR profile of adults with obesity and chronic diseases.   Methods:  A comprehensive search of Medline, CINAHL, Embase, and PubMed was performed using the following criteria: publication between 2016-2021, using digital health tools as interventions, adults with obesity or chronic diseases, cardiometabolic profile as outcomes, and randomized controlled trial (RCT) as the design. The search yielded 548 articles of which 13 studies met the inclusion criteria. The Joanna Briggs checklist for RCT was used to assess the quality of the studies. Data analysis was conducted according to the guidance for synthesis without meta-analysis.   Results:  There were 8 (61.5%) out of 13 studies assessed the relationship between digital health interventions and weight, of which 7 studies (88%) found positive findings.  The association between digital health intervention and blood pressure were assessed in 7 (53.8%) out 13 studies, of which only two studies had positive findings related with systolic blood pressure. The intervention modalities included m-Health (apps) in 2 studies, text-messaging in 4 studies, and combinations of modalities in 8 studies. The interventions used different strategies, including education, self-management, and social support. More than a half of the studies (54%) were about weight-loss interventions and 10 (76.9%) studies used education for intervention components.  Conclusions:  Digital health intervention may be associated with decreased weight and BMI; however, only a few studies assessed other CMR profile, and the findings were inconsistent. Additional studies are needed to assess digital health interventions targeting other CMR profile, including blood pressure, glucose, and cholesterol level.},
   issn = {2406-8799},   pages = {133--150}  doi = {10.14710/nmjn.v12i1.41139},
    url = {https://ejournal.undip.ac.id/index.php/medianers/article/view/41139}
}

Citation Format:

Abstract

Background: The prevalence of chronic diseases is rapidly increasing globally. Ubiquitous digital technologies give an opportunity for digital health intervention to improve cardiometabolic risk (CMR) profile that may consequently decrease the risk of chronic diseases. However, evidence on digital health associated with chronic disease interventions remains controversial.

Purpose: This systematic review aimed to determine the association of digital health intervention with improving CMR profile of adults with obesity and chronic diseases.

Methods: A comprehensive search of Medline, CINAHL, Embase, and PubMed was performed using the following criteria: publication between 2016-2021, using digital health tools as interventions, adults with obesity or chronic diseases, cardiometabolic profile as outcomes, and randomized controlled trial (RCT) as the design. The search yielded 548 articles of which 13 studies met the inclusion criteria. The Joanna Briggs checklist for RCT was used to assess the quality of the studies. Data analysis was conducted according to the guidance for synthesis without meta-analysis.

Results: There were 8 (61.5%) out of 13 studies assessed the relationship between digital health interventions and weight, of which 7 studies (88%) found positive findings. The association between digital health intervention and blood pressure were assessed in 7 (53.8%) out 13 studies, of which only two studies had positive findings related with systolic blood pressure. The intervention modalities included m-Health (apps) in 2 studies, text-messaging in 4 studies, and combinations of modalities in 8 studies. The interventions used different strategies, including education, self-management, and social support. More than a half of the studies (54%) were about weight-loss interventions and 10 (76.9%) studies used education for intervention components.

Conclusions: Digital health intervention may be associated with decreased weight and BMI; however, only a few studies assessed other CMR profile, and the findings were inconsistent. Additional studies are needed to assess digital health interventions targeting other CMR profile, including blood pressure, glucose, and cholesterol level.

Fulltext View|Download

Keywords: Adults, cardiometabolic risk, chronic disease, digital health

Funding: None

Article Metrics:

Article Info

Section: Articles

Language : EN

In Vol 12, No 1 (2022): (April 2022)

Recent articles

Health Literacy-Related Knowledge and Experience among Nurses Practicing in Medical-Surgical Wards Discovering Elements and Developing Strategies to Implement the Tailored Care Education for Patients with Diabetes through A Systematic Review The Relationship between Self-Efficacy, Self-Care Behavior, and Generalized Anxiety Disorder in COVID-19: A Path Analysis Model Editorial Back Matter Editorial Front Matter More recent articles

Most cited articles

Spirituality Intervention and Outcomes: Corner stone of Holistic Nursing Practice Work-Related Fatigue Factors among Hospital Nurses: An Integrative Literature Review PENGARUH LATIHAN FISIK; SENAM AEROBIK TERHADAP PENURUNAN KADAR GULA DARAH PADA PENDERITA DM TIPE 2 DI WILAYAH PUSKESMAS BUKATEJA PURBALINGGA Emergency Training, Education And Perceived Clinical Skills For Tsunami Care Among Nurses In Banda Aceh, Indonesia PERAN SERTA KELUARGA PADA LANSIA YANG MENGALAMI POST POWER SYNDROME More cited articles

Aghakhanian, F., Wong, C., Tan, J. S. Y., Yeo, L. F., Ramadas, A., Edo, J., Hoh, B. P., Khalid, B. A. K., & Phipps, M. E. (2019). Metabolic syndrome and cardiometabolic risk factors among indigenous Malaysians. Public health, 176, 106-113. https://doi.org/10.1016/j.puhe.2018.10.001
Aungsuroch, Y., Gunawan, J., Polsook, R., Anuruang, S., Phongphibool, S., & Nazliansyah, N. (2021). Barriers and challenges in managing hypertension in Belitung, Indonesia: A qualitative study. Nurse Media Journal of Nursing, 11(3), 305-317. https://doi.org/10.14710/nmjn.v11i3.42135
Beleigoli, A. M., Andrade, A. Q., Cançado, A. G., Paulo, M. N., Diniz, M. F. H., & Ribeiro, A. L. (2019). Web-based digital health interventions for weight loss and lifestyle habit changes in overweight and obese adults: Systematic review and meta-analysis. Journal of Medical Internet Research, 21(1), e298. https://doi.org/10.2196/jmir.9609
Bennett, J. E., Stevens, G. A., Mathers, C. D., Bonita, R., Rehm, J., Kruk, M. E., Riley, L. M., Dain, K., Kengne, A. P., Chalkidou, K., Beagley, J., Kishore , S. P., Chen, W., Saxena, S., Bettcher, D. W., Grove, J. T., Beaglehole, R., & Ezzati, M. (2018a). NCD Countdown 2030: Worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet, 392(10152), 1072-1088. https://doi.org/10.1016/s0140-6736(18)31992-5
Bennett, G. G., Steinberg, D., Askew, S., Levine, E., Foley, P., Batch, B. C., Svetkey, L. P., Bosworth, H. B., Puleo, E. M., Brewer, A., DeVries, A., & Miranda, H. (2018b). Effectiveness of an app and provider counseling for obesity treatment in primary care. American Journal of Preventive Medicine, 55(6), 777-786. https://doi.org/10.1016/j.amepre.2018.07.005
Burke, L. E., Ma, J., Azar, K. M., Bennett, G. G., Peterson, E. D., Zheng, Y., Riley, W., Stephens, J., Shah, S. H., Suffoletto, B., Turan, T. N., Spring, B., Steinberger, J., & Quinn, C. C. (2015). Current science on consumer use of mobile health for cardiovascular disease prevention: A scientific statement from the American Heart Association. Circulation, 132(12), 1157-1213. https://doi.org/10.1161/cir.0000000000000232
Burke, L. E., Wang, J., & Sevick, M. A. (2011). Self-monitoring in weight loss: a systematic review of the literature. Journal of the American Dietetic Association, 111(1), 92-102. https://doi.org/10.1016/j.jada.2010.10.008
Cajita, M. I., Zheng, Y., Kariuki, J. K., Vuckovic, K. M., & Burke, L. E. (2021). mHealth technology and CVD risk reduction. Current Atherosclerosis Reports, 23(7), 36. https://doi.org/10.1007/s11883-021-00927-2
Campbell, M., McKenzie, J. E., Sowden, A., Katikireddi, S. V., Brennan, S. E., Ellis, S., Hartmann-Boyce, J., Ryan, R., Shepperd, S., Thomas, J., Welch, V., & Thomson, H. (2020). Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ Clinical Research, 368, l6890. https://doi.org/10.1136/bmj.l6890
Conard, S. (2019). Best practices in digital health literacy. International Journal of Cardiology, 292, 277-279. https://doi.org/10.1016/j.ijcard.2019.05.070
Ek, A., Alexandrou, C., Soderstrom, E., Bergman, P., Delisle Nystrom, C., Direito, A., Eriksson, U., Henriksson, P., Maddison, R., Trolle Lagerros, Y., Bendtsen, M., & Lof, M. (2020). Effectiveness of a 3-month mobile phone-based behavior change program on active transportation and physical activity in adults: Randomized controlled trial. JMIR mHealth and uHealth, 8(6), e18531. https://doi.org/10.2196/18531
Fatehi, F., Samadbeik, M., & Kazemi, A. (2020). What is digital health? Review of definitions. Integrated Citizen Centered Digital Health and Social Care. https://doi.org/10.3233/SHTI200696
Godino, J. G., Merchant, G., Norman, G. J., Donohue, M. C., Marshall, S. J., Fowler, J. H., Calfas, K. J., Huang, J. S., Rock, C. L., Griswold, W. G., Gupta, A., Raab, F., Fogg, B. J., Robinson, T. N., & Patrick, K. (2016). Using social and mobile tools for weight loss in overweight and obese young adults (Project SMART): A 2 year, parallel-group, randomised, controlled trial. The Lancet Diabetes & endocrinology, 4(9), 747-755. https://doi.org/10.1016/s2213-8587(16)30105-x
ITU. (2021). Measuring digital development: Facts and figures 2021. International Telecommunications Union. https://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx
Iwamoto, S. J., Abushamat, L. A., Zaman, A., Millard, A. J., & Cornier, M. A. (2021). Obesity management in cardiometabolic disease: State of the art. Current Atherosclerosis Reports, 23(10), 59. https://doi.org/10.1007/s11883-021-00953-0
Jahan, Y., Rahman, M. M., Faruque, A. S. G., Chisti, M. J., Kazawa, K., Matsuyama, R., & Moriyama, M. (2020). Awareness development and usage of mobile health technology among individuals with hypertension in a rural community of Bangladesh: Randomized controlled trial. Journal of Medical Internet Research, 22(12), e19137. https://doi.org/10.2196/19137
JBI. (2017). The Joanna Briggs Institute critical appraisal tools for use in JBI systematic reviews checklist for randomized controlled trials. Joanna Briggs Institute. https://jbi.global/sites/default/files/2019-05/JBI_RCTs_Appraisal_tool2017_0.pdf
Khunti, K., Gray, L. J., Skinner, T., Carey, M. E., Realf, K., Dallosso, H., Fisher, H., Campbell, M., Heller, S., & Davies, M. J. (2012). Effectiveness of a diabetes education and self management programme (DESMOND) for people with newly diagnosed type 2 diabetes mellitus: Three year follow-up of a cluster randomised controlled trial in primary care. BMJ Clinical Research, 344, e2333. https://doi.org/10.1136/bmj.e2333
Kuwabara, A., Su, S., & Krauss, J. (2020). Utilizing digital health technologies for patient education in lifestyle medicine. American Journal of Lifestyle Medicine, 14(2), 137-142. https://doi.org/10.1177/1559827619892547
Li, J., Parrott, S., Sweeting, M., Farmer, A., Ross, J., Dack, C., Pal, K., Yardley, L., Barnard, M., Hudda, M., Alkhaldi, G., & Murray, E. (2018). Cost-effectiveness of facilitated access to a self-management website, compared to usual care, for patients with type 2 diabetes (HeLP-diabetes): Randomized controlled trial. Journal of Medical Internet Research, 20(6), e201. https://doi.org/10.2196/jmir.9256
Lin, M., Mahmooth, Z., Dedhia, N., Frutchey, R., Mercado, C. E., Epstein, D. H., Preston, K. L., Gibbons, M. C., Bowie, J. V., Labrique, A. B., & Cheskin, L. J. (2015). Tailored, interactive text messages for enhancing weight loss among African American adults: The TRIMM randomized controlled trial. The American Journal of Medicine, 128(8), 896-904. https://doi.org/10.1016/j.amjmed.2015.03.013
Liyana, A. Z., Appannah, G., Sham, S. Y. Z., Fazliana, M., Nor, N. S. M., Ambak, R., Samad, A. A., Dahlan, N. Y., & Aris, T. (2018). Effectiveness of a community-based intervention for weight loss on cardiometabolic risk factors among overweight and obese women in a low socio-economic urban community: Findings of the MyBFF@home. BMC Women's Health, 18(Suppl 1), 126. https://doi.org/10.1186/s12905-018-0593-1
Ludwig, K., Arthur, R., Sculthorpe, N., Fountain, H., & Buchan, D. S. (2018). Text messaging interventions for improvement in physical activity and sedentary behavior in youth: Systematic review. JMIR mHealth and uHealth, 6(9), e10799. https://doi.org/10.2196/10799
Lugones-Sanchez, C., Sanchez-Calavera, M. A., Repiso-Gento, I., Adalia, E. G., Ramirez-Manent, J. I., Agudo-Conde, C., Rodriguez-Sanchez, E., Gomez-Marcos, M. A., Recio-Rodriguez, J. I., & Garcia-Ortiz, L. (2020). Effectiveness of an mHealth intervention combining a smartphone app and smart band on body composition in an overweight and obese population: Randomized controlled trial (evident 3 study). JMIR mHealth and uHealth, 8(11), e21771. https://doi.org/10.2196/21771
Milani, R. V., & Franklin, N. C. (2017). The role of technology in healthy living medicine. Progress in Cardiovascular Diseases, 59(5), 487-491. https://doi.org/10.1016/j.pcad.2017.02.001
Morris, E., Jebb, S. A., Oke, J., Nickless, A., Ahern, A., Boyland, E., Caterson, I. D., Halford, J., Hauner, H., & Aveyard, P. (2021). Effect of weight loss on cardiometabolic risk: Observational analysis of two randomised controlled trials of community weight-loss programmes. The British Journal of General Practice: The Journal of the Royal College of General Practitioners, 71(705), e312-e319. https://doi.org/10.3399/bjgp20X714113
Muralidharan, S., Ranjani, H., Mohan Anjana, R., Jena, S., Tandon, N., Gupta, Y., Ambekar, S., Koppikar, V., Jagannathan, N., Allender, S., & Mohan, V. (2019). Engagement and weight loss: Results from the mobile health and diabetes trial. Diabetes Technology & Therapeutics, 21(9), 507-513. https://doi.org/10.1089/dia.2019.0134
Murray, E., Sweeting, M., Dack, C., Pal, K., Modrow, K., Hudda, M., Li, J., Ross, J., Alkhaldi, G., Barnard, M., Farmer, A., Michie, S., Yardley, L., May, C., Parrott, S., Stevenson, F., Knox, M., & Patterson, D. (2017). Web-based self-management support for people with type 2 diabetes (HeLP-Diabetes): Randomised controlled trial in English primary care. BMJ Open, 7(9), e016009. https://doi.org/10.1136/bmjopen-2017-016009
Newton, R. L., Jr., Carter, L. A., Johnson, W., Zhang, D., Larrivee, S., Kennedy, B. M., Harris, M., & Hsia, D. S. (2018). A church-based weight loss intervention in African American adults using text messages (LEAN study): Cluster randomized controlled trial. Journal of Medical Internet Research, 20(8), e256. https://doi.org/10.2196/jmir.9816
Nwolise, C. H., Carey, N., & Shawe, J. (2016). Preconception care education for women with diabetes: A systematic review of conventional and digital health interventions. Journal of Medical Internet Research, 18(11), e291. https://doi.org/10.2196/jmir.5615
O'Connor, S., Hanlon, P., O'Donnell, C. A., Garcia, S., Glanville, J., & Mair, F. S. (2016). Understanding factors affecting patient and public engagement and recruitment to digital health interventions: A systematic review of qualitative studies. BMC Medical Informatics and Decision Making, 16(1), 120. https://doi.org/10.1186/s12911-016-0359-3
Patel, M. L., Wakayama, L. N., & Bennett, G. G. (2021). Self-monitoring via digital health in weight loss interventions: A systematic review among adults with overweight or obesity. Obesity, 29(3), 478-499. https://doi.org/10.1002/oby.23088
Patterson, R., McNamara, E., Tainio, M., de Sá, T. H., Smith, A. D., Sharp, S. J., Edwards, P., Woodcock, J., Brage, S., & Wijndaele, K. (2018). Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: A systematic review and dose response meta-analysis. European Journal of Epidemiology, 33(9), 811-829. https://doi.org/10.1007/s10654-018-0380-1
Pereira, M. A., Mullane, S. L., Toledo, M. J. L., Larouche, M. L., Rydell, S. A., Vuong, B., Feltes, L. H., Mitchell, N. R., de Brito, J. N., Hasanaj, K., Carlson, N. G., Gaesser, G. A., Crespo, N. C., Oakes, J. M., & Buman, M. P. (2020). Efficacy of the 'stand and move at work' multicomponent workplace intervention to reduce sedentary time and improve cardiometabolic risk: A group randomized clinical trial. The International Journal of Behavioral Nutrition and Physical Activity, 17(1), 133. https://doi.org/10.1186/s12966-020-01033-3
Ralston, J., & Nugent, R. (2019). Toward a broader response to cardiometabolic disease. Nature Medicine, 25(11), 1644-1646. https://doi.org/10.1038/s41591-019-0642-9
Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., Koffel, J. B., & Group, P.-S. (2021). PRISMA-S: An extension to the PRISMA statement for reporting literature searches in systematic reviews. Systematic Reviews, 10(1), 39. https://doi.org/10.1186/s13643-020-01542-z
Ronquillo, Y., Meyers, A., & Korvek, S. J. (2021). Digital Health. StatPearls Publishing. Copyright © 2021, StatPearls Publishing LLC
Ross, J., Stevenson, F., Dack, C., Pal, K., May, C., Michie, S., Barnard, M., & Murray, E. (2018). Developing an implementation strategy for a digital health intervention: An example in routine healthcare. BMC Health Services Research, 18(1), 794. https://doi.org/10.1186/s12913-018-3615-7
Ruilope, L. L. S., A.; Segura, J.; Garcia-Donaire, J.A. (2007). The meaning of cardiometabolic risk in hypertensive patients. US Endocrinology, 1, 60-63
Ryu, S. (2012). Book Review: mHealth: New horizons for health through mobile technologies: Based on the findings of the second global survey on eHealth (global observatory for eHealth series, volume 3). Healthcare Informatics Research 18, 231-233. https://doi.org/10.4258/hir.2012.18.3.231
Senecal, C., Collazo-Clavell, M., Larrabee, B. R., de Andrade, M., Lin, W., Chen, B., Lerman, L. O., Lerman, A., & Lopez-Jimenez, F. (2020a). A digital health weight-loss intervention in severe obesity. Digital Health, 6, 2055207620910279. https://doi.org/10.1177/2055207620910279
Senecal, C., Widmer, R. J., Larrabee, B. R., de Andrade, M., Lerman, L. O., Lerman, A., & Lopez-Jimenez, F. (2020b). A digital health weight loss program in 250,000 individuals. Journal of Obesity, 2020, 9497164. https://doi.org/10.1155/2020/9497164
Spaulding, E. M., Marvel, F. A., Piasecki, R. J., Martin, S. S., & Allen, J. K. (2021). User engagement with smartphone apps and cardiovascular disease risk factor outcomes: Systematic review. JMIR Cardio, 5(1), e18834. https://doi.org/10.2196/18834
Storm, V., Dörenkämper, J., Reinwand, D. A., Wienert, J., De Vries, H., & Lippke, S. (2016). Effectiveness of a web-based computer-tailored multiple-lifestyle intervention for people interested in reducing their cardiovascular risk: A randomized controlled trial. Journal of Medical Internet Research, 18(4), e78. https://doi.org/10.2196/jmir.5147
Sundfør, T. M., Svendsen, M., & Tonstad, S. (2018). Effect of intermittent versus continuous energy restriction on weight loss, maintenance and cardiometabolic risk: A randomized 1-year trial. Nutrition, Metabolism, and Cardiovascular Diseases, 28(7), 698-706. https://doi.org/10.1016/j.numecd.2018.03.009
Svetkey, L. P., Batch, B. C., Lin, P. H., Intille, S. S., Corsino, L., Tyson, C. C., Bosworth, H. B., Grambow, S. C., Voils, C., Loria, C., Gallis, J. A., Schwager, J., & Bennett, G. G. (2015). Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology. Obesity (Silver Spring, Md.), 23(11), 2133-2141. https://doi.org/10.1002/oby.21226
Thomas, K., Linderoth, C., Bendtsen, M., Bendtsen, P., & Müssener, U. (2016). Text message-based intervention targeting alcohol consumption among university students: Findings from a formative development study. JMIR mHealth and uHealth, 4(4), e119. https://doi.org/10.2196/mhealth.5863
Tobe, S. W., Yeates, K., Campbell, N. R. C., Maar, M. A., Perkins, N., Liu, P. P., Sleeth, J., McAllister, C., Hua-Stewart, D., Wells, G., & Bernick, J. (2019). Diagnosing hypertension in indigenous Canadians (DREAM-GLOBAL): A randomized controlled trial to compare the effectiveness of short message service messaging for management of hypertension: Main results. Journal of Clinical Hypertension (Greenwich, Conn.), 21(1), 29-36. https://doi.org/10.1111/jch.13434
Toro-Ramos, T., Michaelides, A., Anton, M., Karim, Z., Kang-Oh, L., Argyrou, C., Loukaidou, E., Charitou, M. M., Sze, W., & Miller, J. D. (2020). Mobile delivery of the diabetes prevention program in people with prediabetes: Randomized controlled trial. JMIR mHealth and uHealth, 8(7), e17842. https://doi.org/10.2196/17842
Wang, X., Liu, D., Du, M., Hao, R., Zheng, H., & Yan, C. (2020). The role of text messaging intervention in inner Mongolia among patients with type 2 diabetes mellitus: A randomized controlled trial. BMC Medical Informatics and Decision Making, 20(1), 90. https://doi.org/10.1186/s12911-020-01129-7
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., Gu, Y., & Dobson, R. (2019). Mobile phone text messaging and app-based interventions for smoking cessation. The Cochrane Database of Systematic Reviews, 10(10), Cd006611. https://doi.org/10.1002/14651858.CD006611.pub5
WHO. (2021, April 13, 2021). Noncommunicable diseases. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases
Wilson, P. W., D'Agostino, R. B., Parise, H., Sullivan, L., & Meigs, J. B. (2005). Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation, 112(20), 3066-3072. https://doi.org/10.1161/CIRCULATIONAHA.105.539528
Yang, Q. (2017). Are social networking sites making health behavior change interventions more effective? A meta-analytic review. Journal of Health Communication, 22(3), 223-233. https://doi.org/10.1080/10810730.2016.1271065
Yu, C., Liu, C., Du, J., Liu, H., Zhang, H., Zhao, Y., Yang, L., Li, X., Li, J., Wang, J., Wang, H., Liu, Z., Rao, C., & Zheng, Z. (2020). Smartphone-based application to improve medication adherence in patients after surgical coronary revascularization. American Heart Journal, 228, 17-26. https://doi.org/10.1016/j.ahj.2020.06.019
Zheng, X., Spatz, E. S., Bai, X., Huo, X., Ding, Q., Horak, P., Wu, X., Guan, W., Chow, C. K., Yan, X., Sun, Y., Wang, X., Zhang, H., Liu, J., Li, J., Li, X., Spertus, J. A., Masoudi, F. A., & Krumholz, H. M. (2019). Effect of text messaging on risk factor management in patients with coronary heart disease: The CHAT randomized clinical trial. Circulation: Cardiovascular Quality and Outcomes, 12(4), e005616. https://doi.org/10.1161/circoutcomes.119.005616

Last update:

Technology-supported shared decision-making in chronic conditions: A systematic review of randomized controlled trials
Roswita M.E. Vaseur, Eline te Braake, Tessa Beinema, Wendy Oude Nijeweme - d’Hollosy, Monique Tabak. Patient Education and Counseling, 124 , 2024. doi: 10.1016/j.pec.2024.108267

Last update: 2024-12-25 20:59:56

No citation recorded.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Journal Author(s) Rights

In order for the Department of Nursing, Faculty of Medicine, Universitas Diponegoro to publish and disseminate research articles, we need non-exclusive publishing rights (transferred from the author(s) to the publisher). This is determined by a publishing agreement between the author(s) and the Department of Nursing, Faculty of Medicine, Universitas Diponegoro. This agreement involves the transfer or licensing of the copyright for publishing to the publisher, while authors still retain significant rights to use and share their own published articles. The Department of Nursing, Faculty of Medicine, Universitas Diponegoro supports the need for authors to share, disseminate, and maximize the impact of their research through these rights in any databases.

As the author(s), you have rights to a wide range of uses of your article, including use by your employing institution or company. These author rights can be exercised without the need to obtain specific permission. Authors publishing in the Nurse Media Journal of Nursing have extensive rights to use their works for teaching and scholarly purposes without needing to seek permission, including:

use for classroom teaching by the author or the author’s institution and presentation at a meeting or conference, including distributing copies to attendees;
use for internal training by the author’s company;
distribution to colleagues for their research use;
use in a subsequent compilation of the author’s works;
inclusion in a thesis or dissertation;
reuse of portions or extracts from the article in other works (with full acknowledgment of the final article);
preparation of derivative works (other than for commercial purposes) (with full acknowledgment of the final article);
voluntary posting on open websites operated by the author or the author’s institution for scholarly purposes;

following the open access license of the Creative Commons CC BY-SA License.

Authors, readers, and third parties can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (including the name of the creator and attribution parties, detailed information about the authors, a copyright notice, an open access license notice, a disclaimer notice, and a link to the material), provide a link to the license, and indicate if changes were made. The publisher will indicate any modification of the material (if any) and retain an indication of previous modifications using a CrossMark Policy and information about Erratum-Corrigendum notifications.

Authors, readers, and third parties can read, print, and download, redistribute or republish the article (e.g., display it in a repository), translate the article, download it for text and data mining purposes, reuse portions or extracts from the article in other works, sell or reuse it for commercial purposes, remix, transform, or build upon the material. They must distribute their contributions under the same license as the original Creative Commons Attribution-ShareAlike (CC BY-SA).

Copyright Transfer Agreement for Publishing (Publishing Right)

The Authors submitting a manuscript do so on the understanding that if accepted for publication, non-exclusive right for publishing (publishing right) of the article shall be assigned/transferred to Publisher of the Nurse Media Journal of Nursing (Department of Nursing, Faculty of Medicine, Universitas Diponegoro).

Upon acceptance of an article, authors will be asked to complete a 'Copyright Transfer Agreement for Publishing (CTAP)'. An e-mail will be sent to the Corresponding Author confirming receipt of the manuscript together with a 'Copyright Transfer Agreement for Publishing' form by online version of this agreement.

Nurse Media Journal of Nursing and Department of Nursing, Faculty of Medicine, Universitas Diponegoro, the Editors and the Editorial Board make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in the Nurse Media Journal of Nursing are sole and exclusive responsibility of their respective authors and advertisers.

Please note that even though we ask for a transfer of copyright for publishing (CTAP), our journal Author(s) retain (or are granted back) significant scholarly rights as mentioned before.

The Copyright Transfer Agreement for Publishing (CTAP) Form can be downloaded here: [Copyright Transfer Agreement for Publishing (CTAP) Form NMJN 2024]

The copyright form should be signed electronically and send to the Editorial Office in the form of original e-mail below:

Dr. Meira Erawati (Editor-in-Chief)
Editorial Office of Nurse Media Journal of Nursing
Department of Nursing, Faculty of Medicine, Universitas Diponegoro
Jl. Prof. Soedarto, Tembalang, Semarang, Central Java, Indonesia 50275
Telp.: +62-24-76480919; Fax.: +62-24-76486849
E-mail: media_ners@live.undip.ac.id

(This policy statements has been updated at 24th January 2024)

Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review

Journal Author(s) Rights

Copyright Transfer Agreement for Publishing (Publishing Right)

OFFICE INFORMATION