Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 08.12.14 in Vol 2, No 4 (2014): Oct-Dec

This paper is in the following e-collection/theme issue:

Works citing "SMARTHealth India: Development and Field Evaluation of a Mobile Clinical Decision Support System for Cardiovascular Diseases in Rural India"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3568):

(note that this is only a small subset of citations)

  1. Aamir J, Ali SM, Kamel Boulos MN, Anjum N, Ishaq M. Enablers and inhibitors: A review of the situation regarding mHealth adoption in low- and middle-income countries. Health Policy and Technology 2018;7(1):88
    CrossRef
  2. Raghu A, Praveen D, Peiris D, Tarassenko L, Clifford G, Mukhopadhyay P. Implications of Cardiovascular Disease Risk Assessment Using the WHO/ISH Risk Prediction Charts in Rural India. PLOS ONE 2015;10(8):e0133618
    CrossRef
  3. Torrent-Sellens J, Díaz-Chao , Soler-Ramos I, Saigí-Rubió F. Modeling and Predicting Outcomes of eHealth Usage by European Physicians: Multidimensional Approach from a Survey of 9196 General Practitioners. Journal of Medical Internet Research 2018;20(10):e279
    CrossRef
  4. Odendaal W, Lewin S, McKinstry B, Tomlinson M, Jordaan E, Mazinu M, Haig P, Thorson A, Atkins S. Using a mHealth system to recall and refer existing clients and refer community members with health concerns to primary healthcare facilities in South Africa: a feasibility study. Global Health Action 2020;13(1):1717410
    CrossRef
  5. Joshi R, Thrift AG, Smith C, Praveen D, Vedanthan R, Gyamfi J, Schwalm J, Limbani F, Rubinstein A, Parker G, Ogedegbe O, Plange-Rhule J, Riddell MA, Thankappan KR, Thorogood M, Goudge J, Yeates KE. Task-shifting for cardiovascular risk factor management: lessons from the Global Alliance for Chronic Diseases. BMJ Global Health 2018;3(Suppl 3):e001092
    CrossRef
  6. Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
    CrossRef
  7. Maharani A, Sujarwoto , Praveen D, Oceandy D, Tampubolon G, Patel A, Musinguzi G. Cardiovascular disease risk factor prevalence and estimated 10-year cardiovascular risk scores in Indonesia: The SMARThealth Extend study. PLOS ONE 2019;14(4):e0215219
    CrossRef
  8. Silveira DV, Marcolino MS, Machado EL, Ferreira CG, Alkmim MBM, Resende ES, Carvalho BC, Antunes AP, Ribeiro ALP. Development and Evaluation of a Mobile Decision Support System for Hypertension Management in the Primary Care Setting in Brazil: Mixed-Methods Field Study on Usability, Feasibility, and Utility. JMIR mHealth and uHealth 2019;7(3):e9869
    CrossRef
  9. Peiris D, Thompson SR, Beratarrechea A, Cárdenas MK, Diez-Canseco F, Goudge J, Gyamfi J, Kamano JH, Irazola V, Johnson C, Kengne AP, Keat NK, Miranda JJ, Mohan S, Mukasa B, Ng E, Nieuwlaat R, Ogedegbe O, Ovbiagele B, Plange-Rhule J, Praveen D, Salam A, Thorogood M, Thrift AG, Vedanthan R, Waddy SP, Webster J, Webster R, Yeates K, Yusoff K. Behaviour change strategies for reducing blood pressure-related disease burden: findings from a global implementation research programme. Implementation Science 2015;10(1)
    CrossRef
  10. Jha V, Arici M, Collins AJ, Garcia-Garcia G, Hemmelgarn BR, Jafar TH, Pecoits-Filho R, Sola L, Swanepoel CR, Tchokhonelidze I, Wang AYM, Kasiske BL, Wheeler DC, Spasovski G, Agodoa L, Ahmad G, Anantharaman V, Arogundade F, Ashuntantang G, Ballal S, Bamgboye E, Banchuin C, Bogov B, Bunnag S, Chailimpamontri W, Chawanasuntorapoj R, Claure-Del Granado R, Eiam-Ong S, Gomez L, Gómez R, Goumenos D, Phan HAH, Imonje V, Ingsathit A, Jarraya F, Jiwakanon S, Kantachuvesiri S, Khanna U, Kher V, Kitositrangsikun K, Liu Z, Lorvinitnun P, Nseka N, Obrador GT, Okpechi I, Onsuwan D, Ophascharoensuk V, Osafo C, Peiris D, Pichaiwong W, Praditpornsilpa K, Rajapurkar M, Rychlik I, Saadi G, Polo VS, Sangthawan P, Suwan N, Tesar V, Thirakhupt P, Trakarnvanich T, Tsukamoto Y, Tungsanga K, Vanichakarn S, Vazelov E, Wanner C, Were A, Zakharova E. Understanding kidney care needs and implementation strategies in low- and middle-income countries: conclusions from a “Kidney Disease: Improving Global Outcomes” (KDIGO) Controversies Conference. Kidney International 2016;90(6):1164
    CrossRef
  11. 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
    CrossRef
  12. Abdel-All M, Thrift AG, Riddell M, Thankappan KRT, Mini GK, Chow CK, Maulik PK, Mahal A, Guggilla R, Kalyanram K, Kartik K, Suresh O, Evans RG, Oldenburg B, Thomas N, Joshi R. Evaluation of a training program of hypertension for accredited social health activists (ASHA) in rural India. BMC Health Services Research 2018;18(1)
    CrossRef
  13. Santo K, Redfern J. The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control. Current Hypertension Reports 2019;21(10)
    CrossRef
  14. Rooij TV, Marsh S. eHealth: past and future perspectives. Personalized Medicine 2016;13(1):57
    CrossRef
  15. Peiris D, Praveen D, Mogulluru K, Ameer MA, Raghu A, Li Q, Heritier S, MacMahon S, Prabhakaran D, Clifford GD, Joshi R, Maulik PK, Jan S, Tarassenko L, Patel A, Liu G. SMARThealth India: A stepped-wedge, cluster randomised controlled trial of a community health worker managed mobile health intervention for people assessed at high cardiovascular disease risk in rural India. PLOS ONE 2019;14(3):e0213708
    CrossRef
  16. Patel A, Praveen D, Maharani A, Oceandy D, Pilard Q, Kohli MPS, Sujarwoto S, Tampubolon G. Association of Multifaceted Mobile Technology–Enabled Primary Care Intervention With Cardiovascular Disease Risk Management in Rural Indonesia. JAMA Cardiology 2019;4(10):978
    CrossRef
  17. Prinja S, Gupta A, Bahuguna P, Nimesh R. Cost analysis of implementing mHealth intervention for maternal, newborn & child health care through community health workers: assessment of ReMIND program in Uttar Pradesh, India. BMC Pregnancy and Childbirth 2018;18(1)
    CrossRef
  18. Lagos-Ortiz K, Medina-Moreira J, Paredes-Valverde MA, Espinoza-Morán W, Valencia-García R. An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases. Journal of Information Technology Research 2017;10(4):42
    CrossRef
  19. Lopes MH, D'Ancona CA, Ortega NR, Silveira PS, Faleiros-Martins AC, Marin HF. A fuzzy logic model for differential diagnosis of lower urinary tract dysfunctions. International Journal of Urological Nursing 2016;10(3):146
    CrossRef
  20. Busingye D, Arabshahi S, Evans RG, Srikanth VK, Kartik K, Kalyanram K, Riddell MA, Zhu X, Suresh O, Thrift AG. Factors associated with awareness, treatment and control of hypertension in a disadvantaged rural Indian population. Journal of Human Hypertension 2017;31(5):347
    CrossRef
  21. Thomas DS, Daly K, Nyanza EC, Ngallaba SE, Bull S. Health worker acceptability of an mHealth platform to facilitate the prevention of mother-to-child transmission of HIV in Tanzania. DIGITAL HEALTH 2020;6:205520762090540
    CrossRef
  22. Miah SJ, Hasan N, Hasan R, Gammack J. Healthcare support for underserved communities using a mobile social media platform. Information Systems 2017;66:1
    CrossRef
  23. Triantafyllidis A, Filos D, Buys R, Claes J, Cornelissen V, Kouidi E, Chatzitofis A, Zarpalas D, Daras P, Walsh D, Woods C, Moran K, Maglaveras N, Chouvarda I. Computerized decision support for beneficial home-based exercise rehabilitation in patients with cardiovascular disease. Computer Methods and Programs in Biomedicine 2018;162:1
    CrossRef
  24. Liu H, Lindley R, Alim M, Felix C, Gandhi DB, Verma SJ, Tugnawat DK, Syrigapu A, Ramamurthy RK, Pandian JD, Walker M, Forster A, Hackett ML, Anderson CS, Langhorne P, Murthy GV, Maulik PK, Harvey LA, Jan S. Family-led rehabilitation in India (ATTEND)—Findings from the process evaluation of a randomized controlled trial. International Journal of Stroke 2019;14(1):53
    CrossRef
  25. Joshi R, John O, Jha V. The Potential Impact of Public Health Interventions in Preventing Kidney Disease. Seminars in Nephrology 2017;37(3):234
    CrossRef
  26. Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Systems 2018;:1
    CrossRef
  27. Dodd R, Palagyi A, Jan S, Abdel-All M, Nambiar D, Madhira P, Balane C, Tian M, Joshi R, Abimbola S, Peiris D. Organisation of primary health care systems in low- and middle-income countries: review of evidence on what works and why in the Asia-Pacific region. BMJ Global Health 2019;4(Suppl 8):e001487
    CrossRef
  28. Odendaal WA, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M, Daniels K. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2020;
    CrossRef
  29. Granja C, Janssen W, Johansen MA. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235
    CrossRef
  30. , , , , . Making sense of implementation theories, models and frameworks. Implementation Science 2015;10(1)
    CrossRef
  31. Vedanthan R, Bernabe-Ortiz A, Herasme OI, Joshi R, Lopez-Jaramillo P, Thrift AG, Webster J, Webster R, Yeates K, Gyamfi J, Ieremia M, Johnson C, Kamano JH, Lazo-Porras M, Limbani F, Liu P, McCready T, Miranda JJ, Mohan S, Ogedegbe O, Oldenburg B, Ovbiagele B, Owolabi M, Peiris D, Ponce-Lucero V, Praveen D, Pillay A, Schwalm J, Tobe SW, Trieu K, Yusoff K, Fuster V. Innovative Approaches to Hypertension Control in Low- and Middle-Income Countries. Cardiology Clinics 2017;35(1):99
    CrossRef
  32. Nagraj S, Hinton L, Praveen D, Kennedy S, Norton R, Hirst J. Women's and healthcare providers’ perceptions of long‐term complications associated with hypertension and diabetes in pregnancy: a qualitative study. BJOG: An International Journal of Obstetrics & Gynaecology 2019;126(S4):34
    CrossRef
  33. Lodhia V, Karanja S, Lees S, Bastawrous A. Acceptability, Usability, and Views on Deployment of Peek, a Mobile Phone mHealth Intervention for Eye Care in Kenya: Qualitative Study. JMIR mHealth and uHealth 2016;4(2):e30
    CrossRef
  34. Amoakoh HB, Klipstein-Grobusch K, Ansah EK, Grobbee DE, Yveoo L, Agyepong I. How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana. BMJ Global Health 2019;4(2):e001153
    CrossRef
  35. Liu H, Muhunthan J, Hayek A, Hackett M, Laba T, Peiris D, Jan S. Examining the use of process evaluations of randomised controlled trials of complex interventions addressing chronic disease in primary health care—a systematic review protocol. Systematic Reviews 2016;5(1)
    CrossRef
  36. Smith C, van Velthoven MH, Truong ND, Nam NH, Anh VP, AL-Ahdal TMA, Hassan OG, Kouz B, Huy NT, Brewster M, Pakenham-Walsh N. How primary healthcare workers obtain information during consultations to aid safe prescribing in low-income and lower middle-income countries: a systematic review. BMJ Global Health 2020;5(4):e002094
    CrossRef
  37. Amoakoh HB, Klipstein-Grobusch K, Agyepong IA, Zuithoff NP, Amoakoh-Coleman M, Kayode GA, Sarpong C, Reitsma JB, Grobbee DE, Ansah EK. The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial. EClinicalMedicine 2019;12:31
    CrossRef
  38. Pai RR, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306
    CrossRef
  39. Scott K, George AS, Ved RR. Taking stock of 10 years of published research on the ASHA programme: examining India’s national community health worker programme from a health systems perspective. Health Research Policy and Systems 2019;17(1)
    CrossRef
  40. Hirst JE, Nagraj S, Henry A, Mackillop L, Norton R, Kennedy S. The obstetrician's role in preventing cardiometabolic disease. The Obstetrician & Gynaecologist 2019;21(4):247
    CrossRef
  41. Bassi A, John O, Praveen D, Maulik PK, Panda R, Jha V. Current Status and Future Directions of mHealth Interventions for Health System Strengthening in India: Systematic Review. JMIR mHealth and uHealth 2018;6(10):e11440
    CrossRef
  42. Rajan JV, Moura J, Gourley G, Kiso K, Sizilio A, Cortez AM, Riley LW, Veras MA, Sarkar U. Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  43. Ved R, Scott K, Gupta G, Ummer O, Singh S, Srivastava A, George AS. How are gender inequalities facing India’s one million ASHAs being addressed? Policy origins and adaptations for the world’s largest all-female community health worker programme. Human Resources for Health 2019;17(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3568):

  1. Rohina Joshi KAP, Hersch F, Weber MB, McGuire H, Patel A. Disease Control Priorities, Third Edition (Volume 5): Cardiovascular, Respiratory, and Related Disorders. 2017. :305
    CrossRef
  2. Martin-Sanchez F, Aguiar-Pulido V. Global Health Informatics. 2017. :195
    CrossRef
  3. Seneviratne M, Peiris D. Revolutionizing Tropical Medicine. 2019. :566
    CrossRef
  4. Kumar V, Jha V. Chronic Kidney Disease in Disadvantaged Populations. 2017. :139
    CrossRef
  5. , , , , . Implementation Science 3.0. 2020. Chapter 3:53
    CrossRef