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

Web-based and Mobile Health Interventions (3297)

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

Authors of this article:

Devarsetty Praveen1, 2 Author Orcid Image ;   Anushka Patel3 Author Orcid Image ;   Arvind Raghu4 Author Orcid Image ;   Gari D Clifford5 Author Orcid Image ;   Pallab K Maulik1, 6 Author Orcid Image ;   Ameer Mohammad Abdul1 Author Orcid Image ;   Kishor Mogulluru1 Author Orcid Image ;   Lionel Tarassenko4 Author Orcid Image ;   Stephen MacMahon3, 6 Author Orcid Image ;   David Peiris3 Author Orcid Image
Article Authors Cited by (89) Tweetations (6) Metrics

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) 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 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
  51. Schierhout G, Praveen D, Patel B, Li Q, Mogulluru K, Ameer M, Patel A, Clifford G, Joshi R, Heritier S, Maulik P, Peiris D. Why do strategies to strengthen primary health care succeed in some places and fail in others? Exploring local variation in the effectiveness of a community health worker managed digital health intervention in rural India. BMJ Global Health 2021;6(Suppl 5):e005003 View
  52. Deo S, Singh P. Community health worker-led, technology-enabled private sector intervention for diabetes and hypertension management among urban poor: a retrospective cohort study from large Indian metropolitan city. BMJ Open 2021;11(8):e045246 View
  53. Gupta A, Agrawal R, Gupt A, Guleri R, Bajpayee D, Joshi N, Sarin E, Gupta S, Kumar H. Systems E-approach for women at risk (SEWA)—A digital health solution for detection of high-risk pregnancies. Journal of Family Medicine and Primary Care 2021;10(10):3712 View
  54. Jahan F, Foote E, Rahman M, Shoab A, Parvez S, Nasim M, Hasan R, El Arifeen S, Billah S, Sarker S, Hoque M, Shahidullah M, Islam M, Ashrafee S, Darmstadt G. Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh. BMC Pediatrics 2022;22(1) View
  55. Gadsden T, Patel A, Praveen D, Palagyi A. Transfer or tailor? Implementing a technology‐supported intervention for noncommunicable diseases across contexts. Health Care Science 2023;2(1):75 View
  56. Jefferson K, Ward M, Pang W, Arcand J. A feasibility study of a randomized controlled trial protocol to assess the impact of an eHealth intervention on the provision of dietary advice in primary care. Pilot and Feasibility Studies 2022;8(1) View
  57. Bassi A, Arfin S, John O, Praveen D, Arora V, Kalra O, Madhu S, Jha V. Innovative mobile-health led participatory approach to comprehensive screening and treatment of diabetes (IMPACT diabetes): rationale, design, and baseline characteristics. International Journal of Diabetes in Developing Countries 2023;43(3):353 View
  58. Joshi R, Behera D, Di Tanna G, Ameer M, Yakubu K, Praveen D. Integrated Management of Diabetes and Tuberculosis in Rural India – Results From a Pilot Study. Frontiers in Public Health 2022;10 View
  59. Shalom E, Goldstein A, Ariel E, Sheinberger M, Jones V, Van Schooten B, Shahar Y. Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation. Artificial Intelligence in Medicine 2022;129:102324 View
  60. Ajisegiri W, Abimbola S, Tesema A, Odusanya O, Peiris D, Joshi R. “We just have to help”: Community health workers' informal task-shifting and task-sharing practices for hypertension and diabetes care in Nigeria. Frontiers in Public Health 2023;11 View
  61. Shukla P, Vashist P, Senjam S, Gupta V, Gupta N. A study to assess the knowledge and skills of Accredited Social Health Activists and its retention after training in community-based primary eye care. Indian Journal of Ophthalmology 2022;70(1):36 View
  62. Nezamdoust S, Abdekhoda M, Ranjbaran F, Azami-Aghdash S. Adopting mobile health applications by nurses: a scoping review. Journal of Research in Nursing 2022;27(5):480 View
  63. Partogi M, Gaviria-Valencia S, Alzate Aguirre M, Pick N, Bhopalwala H, Barry B, Kaggal V, Scott C, Kessler M, Moore M, Mitchell J, Chaudhry R, Bonacci R, Arruda-Olson A. Sociotechnical Intervention for Improved Delivery of Preventive Cardiovascular Care to Rural Communities: Participatory Design Approach. Journal of Medical Internet Research 2022;24(8):e27333 View
  64. Xie C, Cai H, Yang Y, Jiang L, Yang P. User Profiling in Elderly Healthcare Services in China: Scalper Detection. IEEE Journal of Biomedical and Health Informatics 2018;22(6):1796 View
  65. Karageorgos G, Andreadis I, Psychas K, Mourkousis G, Kiourti A, Lazzi G, Nikita K. The Promise of Mobile Technologies for the Health Care System in the Developing World: A Systematic Review. IEEE Reviews in Biomedical Engineering 2019;12:100 View
  66. Armstrong A, Suk H, Mabey C, Mattson C, Hall J, Salmon J. Systematic Review and Classification of the Engineering for Global Development Literature Based on Design Tools and Methods for Social Impact Consideration. Journal of Mechanical Design 2023;145(3) View
  67. Ajisegiri W, Abimbola S, Tesema A, Odusanya O, Peiris D, Joshi R, Shivashankar R. The organisation of primary health care service delivery for non-communicable diseases in Nigeria: A case-study analysis. PLOS Global Public Health 2022;2(7):e0000566 View
  68. He X, Peng C, Xu Y, Zhang Y, Wang Z. Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis. JMIR Medical Informatics 2022;10(4):e33842 View
  69. Chen W, O’Bryan C, Gorham G, Howard K, Balasubramanya B, Coffey P, Abeyaratne A, Cass A. Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation. Implementation Science Communications 2022;3(1) View
  70. Kalyesubula R, Conroy A, Calice-Silva V, Kumar V, Onu U, Batte A, Kaze F, Fabian J, Ulasi I. Screening for Kidney Disease in Low- and Middle-Income Countries. Seminars in Nephrology 2022;42(5):151315 View
  71. Thomas V, Kalidindi B, Waghmare A, Bhatia A, Raj T, Balsari S. The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems. JMIR Formative Research 2023;7:e45250 View
  72. Bogale T, Teklehaimanot S, Fufa Debela T, Enyew D, Nigusse Bedada A, Dufera Kebebew S, Nigusie Weldeab A, Wolde Daka D, Willems H, Bekele T. Barriers, facilitators and motivators of electronic community health information system use among health workers in Ethiopia. Frontiers in Digital Health 2023;5 View
  73. Joshi V, Joshi N, Bhardwaj P, Singh K, Ojha D, Jain Y. The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis. Online Journal of Public Health Informatics 2023;15:e50927 View
  74. Nagraj S, Kennedy S, Jha V, Norton R, Hinton L, Billot L, Rajan E, Mohammed Abdul A, Phalswal A, Arora V, Praveen D, Hirst J. A Mobile Clinical Decision Support System for High-Risk Pregnant Women in Rural India (SMARThealth Pregnancy): Pilot Cluster Randomized Controlled Trial. JMIR Formative Research 2023;7:e44362 View
  75. Hirst J, Votruba N, Billot L, Arora V, Rajan E, Thout S, Peiris D, Patel A, Norton R, Mullins E, Sharma A, Kennedy S, Jha V, Praveen D. A community-based intervention to improve screening, referral and follow-up of non-communicable diseases and anaemia amongst pregnant and postpartum women in rural India: study protocol for a cluster randomised trial. Trials 2023;24(1) View
  76. Saif‐Ur‐Rahman K, Islam M, Alaboson J, Ola O, Hasan I, Islam N, Mainali S, Martina T, Silenga E, Muyangana M, Joarder T. Artificial intelligence and digital health in improving primary health care service delivery in LMICs: A systematic review. Journal of Evidence-Based Medicine 2023;16(3):303 View
  77. Wiwatkunupakarn N, Aramrat C, Pliannuom S, Buawangpong N, Pinyopornpanish K, Nantsupawat N, Mallinson P, Kinra S, Angkurawaranon C. The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45944 View
  78. Lar L, Chowdhury S, Umunnakwe C, Yahemba D, David A, Omitola O, Haruna S, Lawal S, Isiyaku S, Shuaibu J, Albarka J, Thomson R, Dean L. A mixed methods evaluation of an integrated training package for skin neglected tropical diseases in Kaduna and Ogun, Nigeria. International Health 2023;15(Supplement_1):i75 View
  79. Singh K, Walters M, Ayatollahi H. Use of mHealth in promoting maternal and child health in “BIMARU” states of India “A health system strengthening strategy”: Systematic literature review. PLOS Digital Health 2024;3(2):e0000403 View
  80. Ebbs D, Taricia M, Funaro M, O’Daniel M, Cappello M. Prehospital use of point-of-care tests by community health workers: a scoping review. Frontiers in Public Health 2024;12 View
  81. Sarin E, Dastidar S, Bisht N, Bajpayee D, Patel R, Sodha T, Bhandari A, Mohanty J, Dey S, Chandra S, Agrawal R, Saboth P, Kumar H. Safe Delivery application with facilitation increases knowledge and confidence of obstetric and neonatal care among frontline health workers in India. Journal of Family Medicine and Primary Care 2022;11(6):2695 View
  82. Moosan H, Sharma A, Thakor M, Panigrahi A, Dhikav V, Yadav S, Huda R, Parmar M, Singh P, Mohanty S, John D. Implementation Research on Cardiovascular Diseases in India: A Systematic Review. Indian Journal of Public Health 2024;68(3):418 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
  7. Bassin P, Parasa N, Srinivasa S, Mandyam S. Big-Data-Analytics in Astronomy, Science, and Engineering. View