Usability and feasibility of a tablet-based Decision-Support and Integrated Record-keeping (DESIRE) tool in the nurse management of hypertension in rural western Kenya

Vedanthan, Rajesh; Blank, Evan; Tuikong, Nelly; Kamano, Jemima; Misoi, Lawrence; Tulienge, Deborah; Hutchinson, Claire; Ascheim, Deborah D.; Kimaiyo, Sylvester; Fuster, Valentin; Were, Martin C.

doi:10.1016/j.ijmedinf.2014.12.005

Cited by 79Mobile Health and mHealth ApplicationsElectronic Health Records SystemsUsability and User Interface Design

Usability and feasibility of a tablet-based Decision-Support and Integrated Record-keeping (DESIRE) tool in the nurse management of hypertension in rural western Kenya

Open access

Vedanthan, Rajesh, Blank, Evan, Tuikong, Nelly, Kamano, Jemima, Misoi, Lawrence, Tulienge, Deborah, Hutchinson, Claire, Ascheim, Deborah D. +3 more·2015·International Journal of Medical Informatics

DOI 10.1016/j.ijmedinf.2014.12.005PMC PMC4314432

Open this paper in CoChat — free account

Abstract

Background Mobile health (mHealth) applications have recently proliferated, especially in low- and middle-income countries, complementing task-redistribution strategies with clinical decision support. Relatively few studies address usability and feasibility issues that may impact success or failure of implementation, and few have been conducted for non-communicable diseases such as hypertension. Objective To conduct iterative usability and feasibility testing of a tablet-based Decision Support and Integrated Record-keeping (DESIRE) tool, a technology intended to assist rural clinicians taking care of hypertension patients at the community level in a resource-limited setting in western Kenya. Methods Usability testing consisted of "think aloud" exercises and "mock patient encounters" with five nurses, as well as one focus group discussion. Feasibility testing consisted of semi-structured interviews of five nurses and two members of the implementation team, and one focus group discussion with nurses. Content analysis was performed using both deductive codes and significant inductive codes. Critical incidents were identified and ranked according to severity. A cause-of-error analysis was used to develop corresponding design change suggestions. Results Fifty-seven critical incidents were identified in usability testing, 21 of which were unique. The cause-of-error analysis yielded 23 design change suggestions. Feasibility themes included barriers to implementation along both human and technical axes, facilitators to implementation, provider issues, patient issues and feature requests. Conclusions This participatory, iterative human-centered design process revealed previously unaddressed usability and feasibility issues affecting the implementation of the DESIRE tool in western Kenya. In addition to well-known technical issues, we highlight the importance of human factors that can impact implementation of mHealth interventions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.ijmedinf.2014.12.005

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Usability and feasibility of mUzima have previously been assessed in an implementation to support nurses in managing hypertensive patients.
“Usability and feasibility of mUzima have previously been assessed in an implementation to support nurses in managing hypertensive patients [52].”
From mUzima Mobile Electronic Health Record (EHR) System: Development and Implementation at Scale (2021) · cites this paper as [52]
The Discussion reports usability and feasibility testing of a tool used by nurses managing hypertension. The Methods > Setting identifies the tested application as DESIRE, and the passages found in our copy do not identify it as mUzima. The claim’s description of the assessment is supported, but its identification of the application is not. (LLM, conf=0.86)
Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Magnesium Replacement Improves the Metabolic Profile in Obese and Pre-Diabetic Patients with Mild-to-Moderate Chronic Kidney Disease: A 3-Month, Randomised, Double-Blind, Placebo-Controlled Study
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure<SUBTITLE>The JNC 7 Report</SUBTITLE>
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386 · see citing works
Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271 · see citing works
The Content Analysis Guidebook
Neuendorf, K. A. (2017) · doi:10.4135/9781071802878 · Cited by 9,286 · cited 2× · see citing works
“[29] K.”
Method
The critical incident technique.
Flanagan, J. C. (1954) · Psychological Bulletin · doi:10.1037/h0061470 · Cited by 8,191 · see citing works
Critical Incident Technique
Rogelberg, S. G. (2007) · Encyclopedia of Industrial and Organizational Psychology · doi:10.4135/9781412952651.n55 · Cited by 5,300 · see citing works
2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension
World Health Organization, I. S. O. H. W. G. (2003) · Journal of Hypertension · doi:10.1097/00004872-200311000-00002 · Cited by 2,654 · see citing works
Mapping mHealth research: a decade of evolution
Fiordelli, M., Diviani, N., & Schulz, P. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2430 · Cited by 570 · see citing works
Estimating the number of subjects needed for a thinking aloud test
Nielsen, J. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1065 · Cited by 476 · see citing works
Hypertension in Sub-Saharan Africa: Cross-Sectional Surveys in Four Rural and Urban Communities
Hendriks, M. E., Wit, F. W. N. M., Roos, M. T. L., Brewster, L. M., Akande, T. M., de Beer, I. H., Mfinanga, S., Kahwa, A. M., Gatongi, P. M., Rooy, G. V., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032638 · Cited by 417 · see citing works
A user-centered framework for redesigning health care interfaces
Johnson, C., Johnson, T. R., & Zhang, J. (2004) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2004.11.005 · Cited by 379 · see citing works
Responding to the HIV Pandemic: The Power of an Academic Medical Partnership
Einterz, R. M., Kimaiyo, S. N., Mengech, H. N. K., Khwa-Otsyula, B. O., Esamai, F., Quigley, F., & Mamlin, J. J. (2007) · Academic Medicine · doi:10.1097/acm.0b013e3180cc29f1 · Cited by 324 · see citing works
Self-citation
The standard of user-centered design and the standard definition of usability
Jokela, T., Iivari, N., Matero, J., & Karukka, M. (2003) · Latin American conference on Human-Computer Interaction · doi:10.1145/944519.944525 · Cited by 273 · see citing works
The critical incident technique and nursing care quality research
Kemppainen, J. K. (2000) · Journal of Advanced Nursing · doi:10.1046/j.1365-2648.2000.01597.x · Cited by 231 · see citing works
Telemedicine and Advances in Urban and Rural Healthcare Delivery in Africa
Mars, M. (2013) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2013.10.006 · Cited by 223 · see citing works
Applying a framework for assessing the health system challenges to scaling up mHealth in South Africa
Leon, N., Schneider, H., & Daviaud, E. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-123 · Cited by 200 · see citing works
Epidemiology of stroke and high blood pressure in Africa
Mensah, G. A. (2008) · Heart · doi:10.1136/hrt.2007.127753 · Cited by 170 · see citing works
mHealth in Sub-Saharan Africa
Betjeman, T. J., Soghoian, S. E., & Foran, M. P. (2013) · International Journal of Telemedicine and Applications · doi:10.1155/2013/482324 · Cited by 160 · see citing works
Mobile health for non-communicable diseases in Sub-Saharan Africa: a systematic review of the literature and strategic framework for research
Bloomfield, G. S., Vedanthan, R., Vasudevan, L., Kithei, A., Were, M., & Velazquez, E. J. (2014) · Globalization and Health · doi:10.1186/1744-8603-10-49 · Cited by 154 · see citing works
Self-citation
Evaluation of an Android-based mHealth system for population surveillance in developing countries
Rajput, Z. A., Mbugua, S., Amadi, D., Chepngeno, V., Saleem, J. J., Anokwa, Y., Hartung, C., Borriello, G., Mamlin, B. W., Ndege, S. K., et al. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000476 · Cited by 139 · see citing works
Self-citation
An electronic medical record system for ambulatory care of HIV-infected patients in Kenya
Siika, A. M., Rotich, J., Simiyu, C. J., Kigotho, E. M., Smith, F. E., Sidle, J. E., Wools‐Kaloustian, K., Kimaiyo, S. N., Nyandiko, W. M., Hannan, T., et al. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.03.002 · Cited by 115 · see citing works
Self-citation
The AMPATH medical record system: creating, implementing, and sustaining an electronic medical record system to support HIV/AIDS care in western Kenya.
Tierney, W. M., Rotich, J., Hannan, T., Siika, A. M., Biondich, P., Mamlin, B. W., Nyandiko, W. M., Kimaiyo, S. N., Wools‐Kaloustian, K., Sidle, J. E., et al. (2007) · PubMed · Cited by 109 · see citing works
Self-citation
A Usability Study of a Mobile Health Application for Rural Ghanaian Midwives
Vélez, O., Okyere, P. B., Kanter, A. S., & Bakken, S. (2014) · Journal of Midwifery & Women's Health · doi:10.1111/jmwh.12071 · Cited by 105 · see citing works
Complexity and the science of implementation in health IT—Knowledge gaps and future visions
Abbott, P. A., Foster, J., Marin, H. D. F., & Dykes, P. C. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.10.009 · Cited by 95 · see citing works
A Pilot Study of an mHealth Application for Healthcare Workers: Poor Uptake Despite High Reported Acceptability at a Rural South African Community-Based MDR-TB Treatment Program
Chaiyachati, K. H., Loveday, M., Lorenz, S., Lesh, N., Larkan, L.-M., Cinti, S., Friedland, G. H., & Haberer, J. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064662 · Cited by 90 · see citing works
Critical incident technique as a qualitative research method
Byrne, M. (2001) · AORN Journal · doi:10.1016/s0001-2092(06)61688-8 · Cited by 80 · see citing works
A rapid assessment process for clinical informatics interventions.
Ash, J. S., Sittig, D. F., McMullen, C. K., Guappone, K. P., Dykstra, R. H., & Carpenter, J. (2008) · PubMed Central · Cited by 44 · see citing works
AMPATH Medical Record System (AMRS): collaborating toward an EMR for developing countries.
Mamlin, B. W., & Biondich, P. (2005) · Europe PMC (PubMed Central) · Cited by 43 · see citing works
Optimizing linkage and retention to hypertension care in rural Kenya (LARK hypertension study): study protocol for a randomized controlled trial
Vedanthan, R., Kamano, J. H., Yebei, V. N., DeLong, A. K., Were, M. C., Finkelstein, E. A., Menya, D., Akwanalo, C. O., Bloomfield, G. S., Binanay, C. A., et al. (2014) · Trials · doi:10.1186/1745-6215-15-143 · Cited by 39 · see citing works
Self-citation
Committee on Preventing the Global Epidemic of Cardiovascular Disease: Meeting the Challenges in Developing Countries
Fuster, V., & Kelly, B. B. (2010) · Cited by 38 · see citing works
Self-citation
Chronic noncommunicable cardiovascular and pulmonary disease in sub-Saharan Africa: An academic model for countering the epidemic
Bloomfield, G. S., Kimaiyo, S. N., Carter, E. J., Binanay, C. A., Corey, G. R., Einterz, R. M., Tierney, W. M., & Velazquez, E. J. (2011) · American Heart Journal · doi:10.1016/j.ahj.2010.12.020 · Cited by 37 · see citing works
Self-citation
The Nurse’s Role and Skills in Hypertension Care
Bengtson, A., & Drevenhorn, E. (2003) · Clinical Nurse Specialist · doi:10.1097/00002800-200309000-00011 · Cited by 32 · see citing works
Urgent need for human resources to promote global cardiovascular health
Vedanthan, R., & Fuster, V. (2010) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2010.178 · Cited by 29 · see citing works
Self-citation
Nurse Management of Hypertension in Rural Western Kenya: Implementation Research to Optimize Delivery
Vedanthan, R., Kamano, J. H., Horowitz, C. R., Ascheim, D. D., Velazquez, E. J., Kimaiyo, S. N., & Fuster, V. (2014) · Annals of Global Health · doi:10.1016/j.aogh.2013.12.002 · Cited by 12 · see citing works
Self-citation
A Usability Analysis Framework for Healthcare Information Technology
Sarnikar, S., & Murphy, M. (2012) · International Journal of Technology Diffusion · doi:10.4018/jtd.2012100102 · Cited by 10 · see citing works

Flagged first, then by citations

2 of the 37 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

[32]Rubin J Handbook of Usability Testing 1994 John Wiley & Sons, Inc. New York

Sorted by citations

The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries
Guo, J., & Li, B. (2018) · Health Equity · doi:10.1089/heq.2018.0037 · Cited by 401 · see citing works
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
von Gerich, H., Moen, H., Block, L. J., Chu, C. H., DeForest, H., Hobensack, M., Michalowski, M., Mitchell, J., Nibber, R., Olalia, M. A., et al. (2022) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.104153 · Cited by 360 · see citing works
Health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis
Odendaal, W. A., Anstey Watkins, J., Leon, N., Goudge, J., Griffiths, F., Tomlinson, M., & Daniels, K. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011942.pub2 · Cited by 289 · see citing works
“Some health workers recommended refresher training (Madon 2014; van der Wal 2016; Vedanthan 2015), and training replacement sta#: "Ok if you look at a facility where we have only one nurse, and she was the one that was trained and she is being transferred, who else would. . . still be there to…”
BackgroundInfluential
Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence
Hogg, H. D. J., Al-Zubaidy, M., Technology Enhanced Macular Services Study Reference Group, Talks, J., Denniston, A. K., Kelly, C. J., Malawana, J., Papoutsi, C., Teare, M. D., Keane, P. A., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/39742 · Cited by 163 · see citing works
mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review
Adepoju, I.-O. O., Albersen, B. J. A., Brouwere, V. D., van Roosmalen, J., & Zweekhorst, M. B. M. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7185 · Cited by 152 · see citing works
Provider- and Patient-Related Barriers to and Facilitators of Digital Health Technology Adoption for Hypertension Management: Scoping Review
Palacholla, R. S., Fischer, N., Coleman, A., Agboola, S., Kirley, K., Felsted, J., Katz, C., Lloyd, S., & Jethwani, K. (2019) · JMIR Cardio · doi:10.2196/11951 · Cited by 127 · see citing works
Integration of a Technology-Based Mental Health Screening Program Into Routine Practices of Primary Health Care Services in Peru (The Allillanchu Project): Development and Implementation
Diez-Canseco, F., Toyama, M., Ipince, A., Perez-Leon, S., Cavero, V., Araya, R., & Miranda, J. J. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9208 · Cited by 85 · see citing works
Digital Solutions for Community and Primary Health Workers: Lessons From Implementations in Africa
Owoyemi, A., Osuchukwu, J. I., Azubuike, C., Ikpe, R. K., Nwachukwu, B. C., Akinde, C. B., Biokoro, G. W., Ajose, A. B., Nwokoma, E. I., Mfon, N. E., et al. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.876957 · Cited by 78 · see citing works
“Another issue identified was server connectivity problems where the mHealth tool was unable to connect with the server while other programs ran simultaneously (16).”
Background
Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation
Chen, W., O’Bryan, C. M., Gorham, G., Howard, K., Balasubramanya, B., Coffey, P., Abeyaratne, A., & Cass, A. (2022) · Implementation Science Communications · doi:10.1186/s43058-022-00326-x · Cited by 64 · see citing works
Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges
El–Sappagh, S., Ali, F., El‐Masri, S., Kim, K. H., Ali, A., & Kwak, K. S. (2018) · IEEE Access · doi:10.1109/access.2018.2881001 · Cited by 59 · see citing works
Pharmacy-based hypertension care employing mHealth in Lagos, Nigeria – a mixed methods feasibility study
Nelissen, H. E., Cremers, A. L., Okwor, T. J., Kool, S., van Leth, F., Brewster, L. M., Makinde, O., Gerrets, R. P., Hendriks, M. E., Schultsz, C., et al. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3740-3 · Cited by 58 · see citing works
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
Silveira, D. V., Marcolino, M. S., Machado, E. L., Ferreira, C. G., Alkmim, M. B. M., Resende, E. S., Carvalho, B. C., Antunes, A. P., & Ribeiro, A. L. P. (2019) · JMIR mHealth and uHealth · doi:10.2196/mhealth.9869 · Cited by 51 · see citing works
Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review
Addotey-Delove, M., Scott, R. E., & Mars, M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20021244 · Cited by 52 · see citing works
Pregnant women’s experiences with an integrated diagnostic and decision support device for antenatal care in Ghana
Abejirinde, I. O., Douwes, R., Bardají, A., Abugnaba-Abanga, R., Zweekhorst, M. B. M., van Roosmalen, J., & Brouwere, V. D. (2018) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-018-1853-7 · Cited by 48 · see citing works
Clinician-Driven Design of<i>VitalPAD</i>–An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit
Flohr, L., Beaudry, S., Johnson, K. T., West, N., Burns, C. M., Ansermino, J. M., Dumont, G. A., Wensley, D., Skippen, P., & Gorges, M. (2018) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2018.2812162 · Cited by 44 · see citing works
A Survey of Big Data Issues in Electronic Health Record Analysis
Cyganek, B., Graña, M., Krawczyk, B., Kasprzak, A., Porwik, P., Walkowiak, K. M., & Woźniak, M. (2016) · Applied Artificial Intelligence · doi:10.1080/08839514.2016.1193714 · Cited by 44 · see citing works
Group Medical Visit and Microfinance Intervention for Patients With Diabetes or Hypertension in Kenya
Vedanthan, R., Kamano, J. H., Chrysanthopoulou, S. A., Mugo, R., Andama, B., Bloomfield, G. S., Chesoli, C., DeLong, A. K., Edelman, D. E., Finkelstein, E. A., et al. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.03.002 · Cited by 44 · see citing works
Self-citation
Effectiveness of an mHealth application to improve hypertension health literacy in India
Garner, S. L., George, C. E., Young, P. D., Hitchcock, J., Koch, H., Green, G., Mahid, Z., & Norman, G. (2020) · International Nursing Review · doi:10.1111/inr.12616 · Cited by 42 · see citing works
Effect of Nurse-Based Management of Hypertension in Rural Western Kenya
Vedanthan, R., Kumar, A., Kamano, J. H., Chang, H. L., Raymond, S., Too, K., Tulienge, D., Wambui, C. K., Bagiella, E., Fuster, V., et al. (2020) · Global Heart · doi:10.5334/gh.856 · Cited by 41 · see citing works
Self-citation
Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs
Amoakoh, H. B., Klipstein‐Grobusch, K., Grobbee, D. E., Amoakoh‐Coleman, M., Oduro‐Mensah, E., Sarpong, C., Frimpong, E., Kayode, G. A., Agyepong, I. A., & Ansah, E. (2019) · JMIR mhealth and uhealth · doi:10.2196/12879 · Cited by 35 · see citing works
A Ground-Up Approach to mHealth in Nigeria: A Study of Primary Healthcare Workers’ Attitude to mHealth Adoption
Kenny, G., O’Connor, Y., Eze, E., Ndibuagu, E. O., & Heavin, C. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.11.105 · Cited by 34 · see citing works
A realist systematic review of evidence from low- and middle-income countries of interventions to improve immunization data use
Osterman, A. L., Shearer, J., & Salisbury, N. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06633-8 · Cited by 30 · see citing works
Reusable Software Usability Specifications for mHealth Applications
Zapata, B. C., Fernández‐Alemán, J. L., Toval, A., & Idri, A. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-0902-0 · Cited by 31 · see citing works
Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment
Novo, J., Ameijeiras, Á. H., Ortega, M., Barreira, N., Penedo, M. G., López, J. E., & Calvo, C. (2016) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.10.019 · Cited by 28 · see citing works
mUzima Mobile Electronic Health Record (EHR) System: Development and Implementation at Scale
Were, M. C., Savai, S., Mokaya, B., Mbugua, S., Ribeka, N., Cholli, P., & Yeung, A. (2021) · Journal of Medical Internet Research · doi:10.2196/26381 · Cited by 29 · see citing works
Self-citation
How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana
Amoakoh, H. B., Klipstein‐Grobusch, K., Ansah, E., Grobbee, D. E., Yveoo, L., & Agyepong, I. A. (2019) · BMJ Global Health · doi:10.1136/bmjgh-2018-001153 · Cited by 27 · see citing works
The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial
Amoakoh, H. B., Klipstein‐Grobusch, K., Agyepong, I. A., Zuithoff, N. P. A., Amoakoh‐Coleman, M., Kayode, G. A., Sarpong, C., Reitsma, J. B., Grobbee, D. E., & Ansah, E. (2019) · EClinicalMedicine · doi:10.1016/j.eclinm.2019.05.010 · Cited by 27 · see citing works
Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review
Azadi, A., & García‐Peñalvo, F. J. (2025) · JMIR Human Factors · doi:10.2196/69333 · Cited by 33 · see citing works
A systematic review of portable electronic technology for health education in resource-limited settings
McHenry, M. S., Fischer, L. J., Chun, Y., & Vreeman, R. (2017) · Global Health Promotion · doi:10.1177/1757975917715035 · Cited by 24 · see citing works
The Promise of Clinical Decision Support Systems Targetting Low-Resource Settings
Kiyasseh, D., Zhu, T., & Clifton, D. A. (2020) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.3017868 · Cited by 24 · see citing works
Use of technology to prevent, detect, manage and control hypertension in sub-Saharan Africa: a systematic review
Stokes, K., Oronti, B., Cappuccio, F., & Pecchia, L. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058840 · Cited by 17 · see citing works
Human-centered implementation research: a new approach to develop and evaluate implementation strategies for strengthening referral networks for hypertension in western Kenya
Pillsbury, M. M., Mwangi, E. M., Andesia, J., Njuguna, B., Bloomfield, G. S., Chepchumba, A., Kamano, J. H., Mercer, T., Miheso, J., Pastakia, S. D., et al. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06930-2 · Cited by 19 · see citing works
Self-citation
Barriers, facilitators and motivators of electronic community health information system use among health workers in Ethiopia
Nigatu, T., Meressa, S., Debela, T. F., Enyew, D. B., Bedada, A. N., Kebebew, S. D., Weldeab, A. N., Daka, D. W., Willems, H., & Alemu, T. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1162239 · Cited by 24 · see citing works
The Feasibility and Usability of RunningCoach: A Remote Coaching System for Long-Distance Runners
Aranki, D., Peh, G. X., Kurillo, G., & Bajcsy, R. K. (2018) · Sensors · doi:10.3390/s18010175 · Cited by 18 · see citing works
Artificial Intelligence in Gastrointestinal Endoscopy in a Resource-constrained Setting: A Reality Check
Singh, S. P., Anirvan, P., & Meher, D. (2021) · Euroasian Journal of Hepato-Gastroenterology · doi:10.5005/jp-journals-10018-1322 · Cited by 15 · see citing works
Supply-chain strategies for essential medicines in rural western Kenya during COVID-19
Tran, D. N., Were, P., Kangogo, K., Amisi, J. A., Manji, I., Pastakia, S. D., & Vedanthan, R. (2021) · Bulletin of the World Health Organization · doi:10.2471/blt.20.271593 · Cited by 15 · see citing works
Self-citation
Narrative Review of Human-Centered Design in Public Health Interventions in Low- and Middle-Income Countries: Recommendations for Practice, Research, and Reporting
Kang, B., Poddar, M., Luitel, A., Rimal, R. N., Ayalew, B. M., & Black, D. P. (2025) · Global Health Science and Practice · doi:10.9745/ghsp-d-24-00164 · Cited by 13 · see citing works
How Is Telehealth Currently Being Utilized to Help in Hypertension Management within Primary Healthcare Settings? A Scoping Review
Idris, H., Nugraheni, W. P., Rachmawati, T., Kusnali, A., Yulianti, A., Purwatiningsih, Y., Nuraini, S., Susianti, N., Faisal, D. R., Arifin, H., et al. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21010090 · Cited by 15 · see citing works
Design and content validation of a set of SMS to promote seeking of specialized mental health care within the Allillanchu Project
Toyama, M., Diez-Canseco, F., Busse, P., Del Mastro, I., & Miranda, J. J. (2018) · Global Health, Epidemiology and Genomics · doi:10.1017/gheg.2017.18 · Cited by 10 · see citing works
Digital health tools in hypertension management in sub-Saharan Africa: a scoping review of barriers and facilitators of adoption into mainstream healthcare
Hinneh, T., Mensah, B., Kwanin, C., Okonkwo, C., & Byiringiro, S. (2025) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2024-101261 · Cited by 11 · see citing works
Community engagement to inform development of strategies to improve referral for hypertension: perspectives of patients, providers and local community members in western Kenya
Yebei, V. N., Njuguna, B., Koros, H., Andesia, J., Kamano, J. H., Mercer, T., Bloomfield, G. S., Pastakia, S. D., Vedanthan, R., & Akwanalo, C. O. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09847-0 · Cited by 11 · see citing works
Self-citation
Community-based medication delivery program for antihypertensive medications improves adherence and reduces blood pressure
Tran, D. N., Kangogo, K., Amisi, J. A., Kamadi, J., Karwa, R., Kiragu, B., Laktabai, J., Manji, I., Njuguna, B., Szkwarko, D., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273655 · Cited by 11 · see citing works
Self-citation
An Attitude Survey and Assessment of the Feasibility, Acceptability, and Usability of a Traumatic Brain Injury Decision Support Tool in Uganda
Elahi, C., Spears, C. A., Williams, S., Dunn, T., Najjuma, J. N., Staton, C. A., Vissoci, J. R. N., Fuller, A. T., Kitya, D., & Haglund, M. M. (2020) · World Neurosurgery · doi:10.1016/j.wneu.2020.04.193 · Cited by 11 · see citing works
Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study
Nigatu, T., Willems, H., Bongassie, L. A., Eyob, Y., Mengesha, C. K., Yihun, B. Y., Mohammed, M., Wendrad, N., Melkamu, G., Daka, D. W., et al. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02385-z · Cited by 8 · see citing works
Feasibility and utility of Point-of-Care electronic clinical data capture in Uganda’s healthcare system: a qualitative study
Nabukenya, J., Alunyu, A. E., Drumright, L. N., Semwanga, A. R., & Kasasa, S. (2023) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocad034 · Cited by 7 · see citing works
The Role of Telemedicine in Improving Hypertension Management Outcomes: A Systematic Review
Ali, S. H. M., Mohamed, A. A. O., Osman, H. M., Ibrahim, M. E. A., Mukhtar, M. A. H., Mohamed, F. H. A., & Alhajri, A. (2024) · Cureus · doi:10.7759/cureus.74090 · Cited by 11 · see citing works
Role of mobile health in the situation of COVID-19 pandemics: pros and cons
Bhaskar, P., & Rao, S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824557-6.00005-4 · Cited by 6 · see citing works
Management sewakadharma nurses in wangaya regional public hospitals
Susanti, N. L. P. D., Yuliana, E. D., & Suwardani, N. P. (2021) · International Research Journal of Management IT and Social Sciences · doi:10.21744/irjmis.v8n3.1717 · Cited by 6 · see citing works
Scoping review of health information technology usability methods leveraged in Africa
Dougherty, K., Hobensack, M., & Henry, S. B. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac236 · Cited by 6 · see citing works
The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems
Thomas, V., Kalidindi, B., Waghmare, A., Bhatia, A., Raj, T. D. S., & Balsari, S. (2023) · JMIR Formative Research · doi:10.2196/45250 · Cited by 5 · see citing works
Clinical Data Flow in Botswana Clinics: Protocol for a Mixed-Methods Assessment
Faulkenberry, J. G., Masizana-Katongo, A., Mosesane, B., & Ndlovu, K. (2024) · JMIR Research Protocols · doi:10.2196/52411 · Cited by 4 · see citing works
End Users' Initial Perceptions of mHealth in Nigeria
Fox, G., O’Connor, Y., Eze, E., Ndibuagu, E. O., & Heavin, C. (2020) · International Journal of E-Health and Medical Communications · doi:10.4018/ijehmc.2020100104 · Cited by 4 · see citing works
TECNOLOGIAS UTILIZADAS PARA ASSISTÊNCIA DE ENFERMAGEM ÀS PESSOAS COM HIPERTENSÃO ARTERIAL SISTÊMICA
Oliveira, G., Schimith, M. D., Primo, C. Ç., Wickert, D. C., Jerke, L. C., & Brondani, V. D. F. (2024) · Enfermagem em Foco · doi:10.21675/2357-707x.2024.v15.e-202428 · Cited by 2 · see citing works
Food insecurity is associated with greater difficulty accessing care among people living with HIV with or without comorbid non-communicable diseases in western Kenya
Ardehali, M. M., Kafu, C., Sanchez, M. V., Wilson-Barthes, M. G., Mosong, B., Pastakia, S. D., Said, J. A., Tran, D. N., Wachira, J., Genberg, B. L., et al. (2024) · BMJ Global Health · doi:10.1136/bmjgh-2024-016721 · Cited by 2 · see citing works
Self-citation
Leveraging mHealth usage logs to inform health worker performance in a Resource-Limited setting: Case example of mUzima use for a chronic disease program in Western Kenya
Savai, S. M., Kamano, J. H., Misoi, L., Wakholi, P., Hasan, M. K., & Were, M. C. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000096 · Cited by 2 · see citing works
Self-citation
Human-Centered Implementation Research: A New Approach to Develop and Evaluate Implementation Strategies for Strengthening Referral Networks for Hypertension in western KenyaPreprint
Pillsbury, M. M., Mwangi, E. M., Andesia, J., Njuguna, B., Bloomfield, G. S., Chepchumba, A., Kamano, J. H., Mercer, T., Miheso, J., Pastakia, S. D., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-252907/v2 · Cited by 1 · see citing works
Self-citation
Nurse involvement in health information technology design for digital nursing practice: a scoping reviewPreprint
Kobekyaa, F. K., Boswell, D., Sinclair, R., Havaei, F., Risling, T., & Haase, K. R. (2025) · medRxiv · doi:10.1101/2025.09.15.25335735 · Cited by 1 · see citing works
Leveraging Knowledge-Based Approaches to Promote Antiretroviral Toxicity Monitoring in Underserved Settings
Ogallo, W. (2017) · doi:10.7916/d8tm7pn4
Nutzung und Akzeptanz klinischer Entscheidungsunterstützungssysteme - Entwurf eines Modells für die medizinische Lehre
Perlich, A. C. (2022) · doi:10.53846/goediss-9208
Clinical Decision Support System Adoption & Implementation in African Health Systems: A SWOT Analysis. (Preprint)Preprint
Kolawole, V. O. (2021) · doi:10.2196/preprints.32498
mHealth in clinical decision-making: A systematic literature review (Preprint)Preprint
Dhir, A. (2019) · doi:10.2196/preprints.17444
Feasibility of a user and caregiver centered telehealth technology to support community-dwelling older adults with dementia: TV-AssistDem (Preprint)Preprint
Goodman‐Casanova, J. M., Parra, J. G., Dura-Perez, E., Barnestein‐Fonseca, P., Cuesta‐Vargas, A., Cortellessa, G., Fracasso, F., Umbrico, A., Cesta, A., Boghiu, F., et al. (2021) · doi:10.2196/preprints.28777
Human-Centered Implementation Research: A New Approach to Develop and Evaluate Implementation Strategies for Strengthening Referral Networks for Hypertension in western KenyaPreprint
Pillsbury, M. M., Mwangi, E. M., Andesia, J., Njuguna, B., Bloomfield, G. S., Chepchumba, A., Kamano, J. H., Mercer, T., Miheso, J., Pastakia, S. D., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-252907/v1
Self-citation
Human-Computer Interaction-Based Design for Mobile Health Applications for Healthcare Providers: A Meta-Analysis (Preprint)Preprint
Liu, Z., Yu, X., & Zhang, Q. (2023) · doi:10.2196/preprints.53655
Disconnected data: mHealth data systems and challenges for primary health care workers in India
Nongrum, M. S., Dhaliwal, B. K., Na, Y., Jamir, T., Shekhawat, S., Rao, K., Ramani, S., Albert, S., & Closser, S. (2025) · SSM - Health Systems · doi:10.1016/j.ssmhs.2025.100124
An electronic clinical support algorithm integrating the Integrated Management of Childhood Illness with malaria and bacterial point-of-care diagnostics to improve outpatient care of febrile children in malaria-endemic settings: e-IMCI+Preprint
Kiemdé, F., Sawadogo, S., Rouamba, T., Kone, N. A., Some, A. M., Valia, D., Kaboré, B., Nana, M., Moussa, S., Some, D. Y., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7340568/v1
Additional file 1 of Community engagement to inform development of strategies to improve referral for hypertension: perspectives of patients, providers and local community members in western Kenya
Yebei, V. N., Njuguna, B., Koros, H., Andesia, J., Kamano, J., Mercer, T., Bloomfield, G. S., Pastakia, S. D., Vedanthan, R., & Akwanalo, C. O. (2023) · Figshare · doi:10.6084/m9.figshare.23935851
Self-citation
Additional file 2 of Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation
Chen, W., O’Bryan, C. M., Gorham, G., Howard, K., Balasubramanya, B., Coffey, P., Abeyaratne, A., & Cass, A. (2022) · Figshare · doi:10.6084/m9.figshare.20401242
Additional file 2 of Human-centered implementation research: a new approach to develop and evaluate implementation strategies for strengthening referral networks for hypertension in western Kenya
Pillsbury, M. K. M., Mwangi, E., Andesia, J., Njuguna, B., Bloomfield, G. S., Chepchumba, A., Kamano, J., Mercer, T., Miheso, J., Pastakia, S. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16569961
Self-citation
Additional file 5 of Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation
Chen, W., O’Bryan, C. M., Gorham, G., Howard, K., Balasubramanya, B., Coffey, P., Abeyaratne, A., & Cass, A. (2022) · Figshare · doi:10.6084/m9.figshare.20401254
Additional file 1 of Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation
Chen, W. T., O’Bryan, C. M., Gorham, G., Howard, K., Balasubramanya, B., Coffey, P., Abeyaratne, A., & Cass, A. (2022) · Figshare · doi:10.6084/m9.figshare.20401239
Additional file 3 of Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation
Chen, W., O’Bryan, C. M., Gorham, G., Howard, K., Balasubramanya, B., Coffey, P., Abeyaratne, A., & Cass, A. (2022) · Figshare · doi:10.6084/m9.figshare.20401245
Additional file 1 of Human-centered implementation research: a new approach to develop and evaluate implementation strategies for strengthening referral networks for hypertension in western Kenya
Pillsbury, M. K. M., Mwangi, E., Andesia, J., Njuguna, B., Bloomfield, G. S., Chepchumba, A., Kamano, J., Mercer, T., Miheso, J., Pastakia, S. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16569958
Self-citation
Additional file 4 of Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation
Chen, W., O’Bryan, C. M., Gorham, G., Howard, K., Balasubramanya, B., Coffey, P., Abeyaratne, A., & Cass, A. (2022) · Figshare · doi:10.6084/m9.figshare.20401251
Additional file 3 of Human-centered implementation research: a new approach to develop and evaluate implementation strategies for strengthening referral networks for hypertension in western Kenya
Pillsbury, M. K. M., Mwangi, E., Andesia, J., Njuguna, B., Bloomfield, G. S., Chepchumba, A., Kamano, J., Mercer, T., Miheso, J., Pastakia, S. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16569964
Self-citation
Unlocking the potential of clinical decision support in cardiovascular care: A mixed-methods systematic review of implementation barriers and enablers
Sallam, S., Cebulla, A., Brommeyer, M., Aljudaibi, S., & Balasubramanian, M. (2026) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2026.106415
Barriers and Facilitators to Implementing Digital Health Technologies for Remote Management of NCDs in Rural Areas: Mixed Methods Systematic Review
Sahakyan, S., Akseer, S., Abrahamyan, L., Metcalf, O., Allin, S. M., Chenhall, R. D., & Seto, E. (2026) · Journal of Medical Internet Research · doi:10.2196/93875 · Cited by 1 · see citing works
Mobile health interventions for African adults with hypertension: Evidence from a systematic review of implementation research outcomes
Lanka, P., Enitan, A., Makgabo, A., Rompicharla, S. S., Alsufyani, A., Pateña, J., Vieira, D., Gyamfi, J., & Peprah, E. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001612
Applying artificial intelligence to support cardiovascular risk prediction in resource-constrained settings: qualitative insights from Indonesian doctors
Susanto, A. P., Lyell, D., Akbar, S., Widyantoro, B., Berkovsky, S., & Magrabi, F. (2026) · Applied Artificial Intelligence · doi:10.1080/08839514.2026.2751911

Usability of Implementing a Tablet-Based Decision Support and Integrated Record- Keeping (DESIRE) Tool in the Nurse Management of Hypertension in Rural Kenya
Evan, B., Tuikong, N., Lawrence, M., Jemima, K., Claire, H., Sylvester, K., Fustera, V., Were, M. C., & Rajesh, V. (2013) · Studies in health technology and informatics · doi:10.3233/978-1-61499-289-9-1002
Self-citation
Citizen centric Android based mobile application with decision support to assist community level control and management of hypertension in rural Assam. (Preprint)Preprint
Memeenao, M., Bora, P., Sarmah, B., & Swargiari, T. (2026) · doi:10.2196/preprints.98636
Muzima Mobile Application for Screening Hypertension and Diabetes: A User Experience of the App Among Community Health Workers in Rwanda
Mugisha, M., Ntakirutimana, I., Kayiranga, D., Muhirwa, A., Nkurunziza, E., Sibomana, E. H., Uwamahoro, A., Igihozo, T., Ndoli, A., Niyonshuti, E., et al. (2024) · Studies in health technology and informatics · doi:10.3233/shti240447 · Cited by 1 · see citing works
Feasibility of the CoPILOT digital application for linking community hypertension screening to primary care in rural Nepal
Shrestha, A., Acharya, A., Shakya, R., Shao, Y., Li, T., Wang, Y., Adhikari, P., Lu, H., Karmacharya, B. M., Østbye, T., et al. (2026) · Digital Health · doi:10.1177/20552076261497822
Evaluación de usabilidad y factibilidad de un aplicativo móvil para agentes comunitarios de salud en comunidades remotas de la Amazonía Peruana
Chacón‐Torrico, H. (2019) · Universidad Peruana Cayetano Heredia Institutional Repository

Authors: Vedanthan, R., Blank, E., Tuikong, N., Kamano, J., Misoi, L., Tulienge, D., Hutchinson, C., Ascheim, D. D., Kimaiyo, S., Fuster, V., & Were, M. C.
Affiliations: Icahn School of Medicine at Mount Sinai (US)
AMPATH (KE)
Moi University (KE)
Regenstrief Institute (US)
Corresponding author: Vedanthan, Rajesh
ORCID: Vedanthan, Rajesh
Kamano, Jemima
Hutchinson, Claire
Kimaiyo, Sylvester
Were, Martin C.
Venue: International Journal of Medical Informatics
Publisher: Elsevier BV
Published: 2015-03
Volume: 84
Issue: 3
Pages: 207-219
ISSN: 1386-5056 (ISSN-L)
DOI: 10.1016/j.ijmedinf.2014.12.005
PMC: PMC4314432
OpenAlex: W2121151790
Cited by: 79
References: 37
Citations by year: 2026: 4 · 2025: 6 · 2024: 5 · 2023: 8 · 2022: 14 · 2021: 15 · 2020: 6 · 2019: 5 · 2018: 10 · 2017: 4 · 2016: 2
FWCI: 9.75
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Medical Informatics (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: Fogarty International Center
National Institutes of Health
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
Keywords: mobile health, clinical decision support, tablet application, antihypertensive therapy, nurse-led care, rural health care, usability testing, feasibility, critical incidents, human-centered design, implementation barriers and facilitators, non-communicable diseases, Western Kenya
MeSH terms: Attitude of Health Personnel, Attitude to Computers, Cooperative Behavior, Feasibility Studies, Humans, Hypertension, Kenya, Nurses, Rural Population, User-Computer Interface, Focus Groups, Equipment Failure Analysis, Decision Support Systems, Clinical, Computers, Handheld, Electronic Health Records

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Usability and feasibility of a tablet-based Decision-Support and Integrated Record-keeping (DESIRE) tool in the nurse management of hypertension in rural western Kenya

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Self-check

Cites

Cited by

Related

Record

About these checks