The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
ICT Applications as E-Health Solutions in Rural Healthcare in the Eastern Cape Province of South Africa
Abstract
Information and Communication Technology (ICT) solutions (e.g. e-health, telemedicine, e-education) are often viewed as vehicles to bridge the digital divide between rural and urban healthcare centres and to resolve shortcomings in the rural health sector. This study focused on factors perceived to influence the uptake and use of ICTs as e-health solutions in selected rural Eastern Cape healthcare centres, and on structural variables relating to these facilities and processes. Attention was also given to two psychological variables that may underlie an individual's acceptance and use of ICTs: usefulness and ease of use. Recommendations are made with regard to how ICTs can be used more effectively to improve health systems at five rural healthcare centres where questionnaire and interview data were collected: St. Lucy's Hospital, Nessie Knight Hospital, the Tsilitwa Clinic, the Madzikane Ka-Zulu Memorial Hospital and the Nelson Mandela General Hospital.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Within these studies [25,29,41,42,75,77,79,81,83-85,87,88,102], the factors influential to health care providers’ acceptance of eHealth included their perceived usefulness and needs, perceived ease of use, and all of the facilitating or inhibiting conditions.”
From Health Care Provider Adoption of eHealth: Systematic Literature Review (2013) · cites this paper as [41]
In the citing paper
“Few studies (eg, [41]) have successfully tested the applicability of the UTAUT model by Venkatesh et al [21].”
From Health Care Provider Adoption of eHealth: Systematic Literature Review (2013) · cites this paper as [41]
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Case Study Research: Design and Methods
Chaiklin, H. (1991) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-199102000-00025 · Cited by 39,639
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Hartley, J. (2004) · Essential Guide to Qualitative Methods in Organizational Research · doi:10.4135/9781446280119.n26 · Cited by 15,461
Davis, F. D. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1022 · Cited by 4,754
Eysenbach, G. (2001) · Journal of Medical Internet Research · doi:10.2196/jmir.3.2.e20 · Cited by 2,449
Information Systems and Developing Countries: Failure, Success, and Local Improvisations
Heeks, R. (2002) · The Information Society · doi:10.1080/01972240290075039 · Cited by 1,390 · cited 1×
“…that ICTs have the potential to promote rural development in a number of ways, most scholars believe that the mere presence of ICTs, although vital, is not enough to realise development (Heeks 2002; Herselman & Jacobs 2003; Littlejohns, Wyatt & Garvican 2003; Olugbara et al 2006; Uys 2006).”
BackgroundKnowledge Societies: Information Technology for Sustainable Development
Mansell, R., & Wehn, U. (1998) · Cited by 657
Evaluating computerised health information systems: hard lessons still to be learnt
Littlejohns, P., Wyatt, J. C., & Garvican, L. (2003) · BMJ · doi:10.1136/bmj.326.7394.860 · Cited by 407
Research works printed but not linked: 9
- Commission of the European Communities, 2004, Communication from the Commission to the Council
- Cooper D.R., 2003, Avenue of the Americas
- Creswell J.W., 2003, Social research
- Gurstein M. (2005). Why community technology matters: Community informatics and the effective use of ICTs. Community Informatics Research Network (CIRN) conference. Paper presented at the International Conference of the Community Informatics Research Network: CIRN2005 on Cape Town, 24–26 August 2005.
- Jacobs S.J., 2003, Unpublished M. Tech. dissertation
- Mbananga N., 2002, Evaluation of hospital information system in the Northern Province in South Africa: Using outcome measures
- Ruxwana N.L., 2009, Technology assessment of rural hospitals in the Eastern Cape Province: Knowledge, adoption, access, and availability of e-health solutions for improved health care services delivery in rural hospitals
- United Nations Development Progam (UNDP) (2006). Workshop on e-governance for enhanced service delivery in the context of a capacity development framework. Available at: http://www.undpsaci.co.za/documents/aide_memoire_revised_rev_4.pdf (accessed 01 November 2006).
- Van Audenhove L., 2001, Doctoral thesis
Cited by
Sorted by citations
Items 101–137 of 137
Development Communication in South Africa
Bosch, T. E. (2020) · Springer eBooks · doi:10.1007/978-981-15-2014-3_31 · Cited by 1
Exploring the Potential of IT-Enabled Healthcare in Rural Regions in Cameroon: A Case Study
Bikoro, D. M. A., Wamba, S. F., & Kamdjoug, J. R. K. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-16187-3_6 · Cited by 1
Mitchell, M., & Siebörger, I. (2019) · Conference on Information Communications Technology and Society (ICTAS) · doi:10.1109/ictas.2019.8703621 · Cited by 1
Mobile Health monitoring systems model for chronic diseases patients in developing countries
Kalema, B. M., & Musoma, R. M. (2019) · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · doi:10.1109/iemcon.2019.8936181 · Cited by 1
Diffusion of Technology for Language Challenges in the South African Healthcare Environment
Makovhololo, P., & Iyamu, T. (2020) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj050432 · Cited by 1
ANT Perspective of Healthcare Big Data for Service Delivery in South Africa
Iyamu, T., & Mgudlwa, S. (2021) · IGI Global eBooks · doi:10.4018/978-1-6684-3662-2.ch051 · Cited by 1
Zhang, X. (2015) · Research Online (University of Wollongong) · Cited by 1
The Role of Tailoring in E-Health and ICT-Based Interventions in Different Contexts and Populations
Godinho, C. I. A., Araújo, M., & Alvarez, M. (2016) · IGI Global eBooks · doi:10.4018/978-1-4666-9978-6.ch080 · Cited by 1
Adoption of ICT4D frameworks to support screening for depression in Nigerian universities
Ojeme, B. (2018) · Open University of Cape Town (University of Cape Town) · Cited by 1
Mashinini, M. J. (2014) · UpSpace Institutional Repository (University of Pretoria)
Sobin, J., & Jakobsson, L. (2014) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Software developer competency framework
Minani, D. M. (2013)
National e-health innovation : conduct of international e-health technology transfers in Africa
Iluyemi, A. (2012) · UPT. Syiah Kuala University Library (Syiah Kuala University)
Applying patient-admission predictive algorithms in the South African healthcare system
Daffue, R. A. (2013) · SUNScholar (Stellenbosch University)
Global Information Systems Innovation: Healthcare Digital Records
Urhuogo, I., Vann, V., & Chandan, H. C. (2013)
Multi-functional Health Monitoring System
Chin, C.-L., Wang, K.-C., Cheng, W.-Z., & Lin, W. (2011) · 中山醫學雜誌 · doi:10.30096/csmj.201112.0003
Community Awareness and Involvement: An Overlooked Security Control.
Ruxwana, N., Herselman, M. E., & Pottas, D. (2010)
Self-citationAn electronic patient records management impact assessment framework based on nurses perceptions
Karon, R., & Dlodlo, N. (2017) · South African Institute of Computer Scientists and Information Technologists · doi:10.1145/3129416.3131472
Naidoo, M. (2017) · Unisa Institutional Repository (University of South Africa)
Ruxwana, N. (2010) · Nelson Mandela University Research Repository
Self-citationkhodier, H. I., Elgizawi, L. S. E., & Abdo, H. (2019) · Journal of Al-Azhar University Engineering Sector · doi:10.21608/auej.2019.64230
Fosu, A. (2020) · ASEAN Journal of Community Engagement · doi:10.7454/ajce.v4i2.1113
Dental Clinic in the e-Health Cloud: A Prototype of the SaaS Platform
Durmić, A., Fetić, A., Bejdić, D., Dizdarević, M., Bečić, H., Hodžić, M., & Muhić, S. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-90055-7_3
Lucas, A., & Cooper, H. (2010) · Health Information Management Journal · doi:10.1177/183335831003900102
Solaipriya, P. L., & Suresh, M. (2021) · IGI Global eBooks · doi:10.4018/978-1-7998-8051-6.ch006
Niohuru, I. (2023) · SpringerBriefs in economics · doi:10.1007/978-3-031-19719-2_7
Technology Acceptance Models to Improve Adoption of Health Information Systems
Rashid, A. H. (2021) · Journal of Advanced Sciences and Engineering Technologies · doi:10.32441/jaset.01.01.03
Kavuta, K., & Charles, P. (2023) · The Accountancy and Business Review · doi:10.59645/abr.v15i3.149
Mohammed, I. S. (2025) · International Journal of Management and Economics Invention · doi:10.47191/ijmei/v11i1.06
Boissin, C., Blom, L., Taha, Z., Wallis, L. A., Allorto, N. L., & Laflamme, L. (2025) · JMIR Human Factors · doi:10.2196/56300
Usability analysis of UTAUT and SUS methods in E-health applications as telemedicine media
Restuputri, D. P., Sanyoto, A. F., & Masudin, I. (2025) · AIP conference proceedings · doi:10.1063/5.0260182
E-Health at Outpatient Clinics in Uganda
Hindemark, F. (2013) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Shahid, A., Adesiji, T., Conteh, J. Y., Zubairu, A. Z., Arif, R., Salad, M. H., Tariq, A., Umbugadu, E. S., Dumbuya, M., Iloke, C. V., et al. (2026) · Health Science Reports · doi:10.1002/hsr2.72722
Metadata
- Authors
- Ruxwana, N. L., Herselman, M. E., & Conradie, D. P.
- Affiliations
- Tshwane University of Technology (ZA)
- Council for Scientific and Industrial Research (ZA)
- Corresponding author
- Ruxwana, Nkqubela L
- Herselman, Marlien E
- Conradie, D Pieter
- Venue
- Health Information Management Journal
- Publisher
- SAGE Publications
- Published
- 2010-03
- Volume
- 39
- Issue
- 1
- Pages
- 17-29
- ISSN
- 1833-3583 (ISSN-L)
- 1833-3575
- OpenAlex
- W1812109890
- Cited by
- 137
- References
- 16
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 8 · 2022: 6 · 2021: 10 · 2020: 12 · 2019: 10 · 2018: 13 · 2017: 9 · 2016: 6 · 2015: 14 · 2014: 13 · 2013: 13 · 2012: 7
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Information Management Journal (publishedVersion)
- PubMed (publishedVersion)
- Nelson Mandela University Research Repository (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- e-health, ICT adoption, rural health care, telemedicine, digital divide, perceived usefulness, perceived ease of use, technology acceptance, Eastern Cape, health information systems
- MeSH terms
- Attitude of Health Personnel, Attitude to Computers, Computer Communication Networks, Computer Literacy, Computers, Humans, Medical Informatics, South Africa, Telemedicine, Rural Health Services
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