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

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

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

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

Journals

  1. 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 View
  2. 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 View
  3. Joshi R, Thrift A, Smith C, Praveen D, Vedanthan R, Gyamfi J, Schwalm J, Limbani F, Rubinstein A, Parker G, Ogedegbe O, Plange-Rhule J, Riddell M, Thankappan K, Thorogood M, Goudge J, Yeates K. Task-shifting for cardiovascular risk factor management: lessons from the Global Alliance for Chronic Diseases. BMJ Global Health 2018;3(Suppl 3):e001092 View
  4. 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 View
  5. Peiris D, Thompson S, Beratarrechea A, Cárdenas M, Diez-Canseco F, Goudge J, Gyamfi J, Kamano J, Irazola V, Johnson C, Kengne A, Keat N, Miranda J, Mohan S, Mukasa B, Ng E, Nieuwlaat R, Ogedegbe O, Ovbiagele B, Plange-Rhule J, Praveen D, Salam A, Thorogood M, Thrift A, Vedanthan R, Waddy S, 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) View
  6. Bufalino V, Bleser W, Singletary E, Granger B, O’Brien E, Elkind M, Hamilton Lopez M, Saunders R, McClellan M, Brown N. Frontiers of Upstream Stroke Prevention and Reduced Stroke Inequity Through Predicting, Preventing, and Managing Hypertension and Atrial Fibrillation. Circulation: Cardiovascular Quality and Outcomes 2020;13(7) View
  7. Lopes M, D'Ancona C, Ortega N, Silveira P, Faleiros-Martins A, Marin H. A fuzzy logic model for differential diagnosis of lower urinary tract dysfunctions. International Journal of Urological Nursing 2016;10(3):146 View
  8. Busingye D, Arabshahi S, Evans R, Srikanth V, Kartik K, Kalyanram K, Riddell M, Zhu X, Suresh O, Thrift A. Factors associated with awareness, treatment and control of hypertension in a disadvantaged rural Indian population. Journal of Human Hypertension 2017;31(5):347 View
  9. Thomas D, Daly K, Nyanza E, Ngallaba S, 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 View
  10. 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 View
  11. Liu H, Lindley R, Alim M, Felix C, Gandhi D, Verma S, Tugnawat D, Syrigapu A, Ramamurthy R, Pandian J, Walker M, Forster A, Hackett M, Anderson C, Langhorne P, Murthy G, Maulik P, Harvey L, 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 View
  12. Joshi R, John O, Jha V. The Potential Impact of Public Health Interventions in Preventing Kidney Disease. Seminars in Nephrology 2017;37(3):234 View
  13. Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Systems 2020;9(3):179 View
  14. 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 View
  15. Odendaal W, 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 View
  16. Nilsen P. Making sense of implementation theories, models and frameworks. Implementation Science 2015;10(1) View
  17. Vedanthan R, Bernabe-Ortiz A, Herasme O, Joshi R, Lopez-Jaramillo P, Thrift A, Webster J, Webster R, Yeates K, Gyamfi J, Ieremia M, Johnson C, Kamano J, Lazo-Porras M, Limbani F, Liu P, McCready T, Miranda J, Mohan S, Ogedegbe O, Oldenburg B, Ovbiagele B, Owolabi M, Peiris D, Ponce-Lucero V, Praveen D, Pillay A, Schwalm J, Tobe S, Trieu K, Yusoff K, Fuster V. Innovative Approaches to Hypertension Control in Low- and Middle-Income Countries. Cardiology Clinics 2017;35(1):99 View
  18. 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 View
  19. 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 View
  20. Amoakoh H, Klipstein-Grobusch K, Ansah E, Grobbee D, 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 View
  21. Chandrashekhar Y, Alexander T, Mullasari A, Kumbhani D, Alam S, Alexanderson E, Bachani D, Wilhelmus Badenhorst J, Baliga R, Bax J, Bhatt D, Bossone E, Botelho R, Chakraborthy R, Chazal R, Dhaliwal R, Gamra H, Harikrishnan S, Jeilan M, Kettles D, Mehta S, Mohanan P, Kurt Naber C, Naik N, Ntsekhe M, Otieno H, Pais P, Piñeiro D, Prabhakaran D, Reddy K, Redha M, Roy A, Sharma M, Shor R, Adriaan Snyders F, Weii Chieh Tan J, Valentine C, Wilson B, Yusuf S, Narula J. Resource and Infrastructure-Appropriate Management of ST-Segment Elevation Myocardial Infarction in Low- and Middle-Income Countries. Circulation 2020;141(24):2004 View
  22. 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) View
  23. Amoakoh H, Klipstein-Grobusch K, Agyepong I, Zuithoff N, Amoakoh-Coleman M, Kayode G, Sarpong C, Reitsma J, Grobbee D, Ansah E. 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 View
  24. Pai R, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306 View
  25. Scott K, George A, Ved R. 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) View
  26. Hirst J, 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 View
  27. Bassi A, John O, Praveen D, Maulik P, 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 View
  28. Rajan J, Moura J, Gourley G, Kiso K, Sizilio A, Cortez A, Riley L, Veras M, 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) View
  29. Ved R, Scott K, Gupta G, Ummer O, Singh S, Srivastava A, George A. 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) View
  30. Aamir J, Ali S, Kamel Boulos M, 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 View
  31. Torrent-Sellens J, Díaz-Chao Á, 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 View
  32. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  33. Silveira D, Marcolino M, Machado E, Ferreira C, Alkmim M, Resende E, Carvalho B, Antunes A, Ribeiro A. 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 View
  34. Jha V, Arici M, Collins A, Garcia-Garcia G, Hemmelgarn B, Jafar T, Pecoits-Filho R, Sola L, Swanepoel C, Tchokhonelidze I, Wang A, Kasiske B, Wheeler D, 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 H, Imonje V, Ingsathit A, Jarraya F, Jiwakanon S, Kantachuvesiri S, Khanna U, Kher V, Kitositrangsikun K, Liu Z, Lorvinitnun P, Nseka N, Obrador G, Okpechi I, Onsuwan D, Ophascharoensuk V, Osafo C, Peiris D, Pichaiwong W, Praditpornsilpa K, Rajapurkar M, Rychlik I, Saadi G, Polo V, 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 View
  35. 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 View
  36. Abdel-All M, Thrift A, Riddell M, Thankappan K, Mini G, Chow C, Maulik P, Mahal A, Guggilla R, Kalyanram K, Kartik K, Suresh O, Evans R, 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) View
  37. Santo K, Redfern J. The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control. Current Hypertension Reports 2019;21(10) View
  38. Rooij T, Marsh S. eHealth: past and future perspectives. Personalized Medicine 2016;13(1):57 View
  39. Hoque M, Rahman M, Nipa N, Hasan M. Mobile health interventions in developing countries: A systematic review. Health Informatics Journal 2020;26(4):2792 View
  40. Peiris D, Praveen D, Mogulluru K, Ameer M, Raghu A, Li Q, Heritier S, MacMahon S, Prabhakaran D, Clifford G, Joshi R, Maulik P, 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 View
  41. Patel A, Praveen D, Maharani A, Oceandy D, Pilard Q, Kohli M, 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 View
  42. 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) View
  43. Lagos-Ortiz K, Medina-Moreira J, Paredes-Valverde M, 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 View
  44. Bellad M, Goudar S, Mallapur A, Sharma S, Bone J, Charantimath U, Katageri G, Ramadurg U, Mark Ansermino J, Derman R, Dunsmuir D, Honnungar N, Karadiguddi C, Kavi A, Kodkany B, Lee T, Li J, Nathan H, Payne B, Revankar A, Shennan A, Singer J, Tu D, Vidler M, Wong H, Bhutta Z, Magee L, von Dadelszen P. Community level interventions for pre-eclampsia (CLIP) in India: A cluster randomised controlled trial. Pregnancy Hypertension 2020;21:166 View
  45. Miah S, Hasan N, Hasan R, Gammack J. Healthcare support for underserved communities using a mobile social media platform. Information Systems 2017;66:1 View
  46. Granja C, Janssen W, Johansen M. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235 View
  47. Smith C, van Velthoven M, Truong N, Nam N, Anh V, AL-Ahdal T, Hassan O, Kouz B, Huy N, 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 View
  48. Usmanova G, Gresh A, Cohen M, Kim Y, Srivastava A, Joshi C, Bhatt D, Haws R, Wadhwa R, Sridhar P, Bahl N, Gaikwad P, Anderson J. Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3. International Journal of Environmental Research and Public Health 2020;17(22):8333 View
  49. Usmanova G, Lalchandani K, Srivastava A, Joshi C, Bhatt D, Bairagi A, Jain Y, Afzal M, Dhoundiyal R, Benawri J, Chaudhary T, Mishra A, Wadhwa R, Sridhar P, Bahl N, Gaikwad P, Sood B. The role of digital clinical decision support tool in improving quality of intrapartum and postpartum care: experiences from two states of India. BMC Pregnancy and Childbirth 2021;21(1) View
  50. Nagraj S, Kennedy S, Jha V, Norton R, Hinton L, Billot L, Rajan E, Arora V, Praveen D, Hirst J. SMARThealth Pregnancy: Feasibility and Acceptability of a Complex Intervention for High-Risk Pregnant Women in Rural India: Protocol for a Pilot Cluster Randomised Controlled Trial. Frontiers in Global Women's Health 2021;2 View

Books/Policy Documents

  1. Martin-Sanchez F, Aguiar-Pulido V. Global Health Informatics. View
  2. Kumar V, Jha V. Chronic Kidney Disease in Disadvantaged Populations. View
  3. Nilsen P. Implementation Science 3.0. View
  4. Rohina Joshi K, Hersch F, Weber M, McGuire H, Patel A. Disease Control Priorities, Third Edition (Volume 5): Cardiovascular, Respiratory, and Related Disorders. View
  5. Rajapuri A, Ravindran R, Horan K, Bucher S, Purkayastha S. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. View
  6. Seneviratne M, Peiris D. Revolutionizing Tropical Medicine. View