Graham Wright

Prof. Graham Wright

Rhodes University
orcid

Research Focus & Metrics

Academic Career Length

43Years (1984-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 December 2020 in Life
Verified
Journal Article
Open access
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CTChen Hsi Tsai
Chen Hsi Tsai
AEAboozar Eghdam
Aboozar Eghdam
NDNadia Davoody
Nadia Davoody
GWGraham Wright
Graham Wright
SFStephen Flowerday
Stephen Flowerday
SKSabine Koch
Sabine Koch
Despite the great advances in the field of electronic health records (EHRs) over the past 25 years, implementation and adoption challenges persist, and the benefits realized remain below expectations. This scoping review aimed to present current knowledge about the effects of EHR implementation and the barriers to EHR adoption and use. A literature search was conducted in PubMed, Web of Science, IEEE Xplore Digital Library and ACM Digital Library for studies published between January 2005 and May 2020. In total, 7641 studies were identified of which 142 met the criteria and attained the consensus of all researchers on inclusion. Most studies (n = 91) were published between 2017 and 2019 and 81 studies had the United States as the country of origin. Both positive and negative effects of EHR implementation were identified, relating to clinical work, data and information, patient care and economic impact. Resource constraints, poor/insufficient training and technical/educational support for users, as well as poor literacy and skills in technology were the identified barriers to adoption and use that occurred frequently. Although this review did not conduct a quality analysis of the included papers, the lack of uniformity in the use of EHR definitions and detailed contextual information concerning the study settings could be observed.

1 January 2010 in Methods of Information in Medicine
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Journal Article
Closed access
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EAE. Ammenwerth
E. Ammenwerth
GDGeorge Demiris
George Demiris
AHA. Hasman
A. Hasman
RHR. Haux
R. Haux
WHW. Hersh
W. Hersh
JMJ. Mantas
J. Mantas
Summary: Objective: The International Medical Informatics Association (IMIA) agreed on revising the existing international recommendations in health informatics /medical informatics education. These should help to establish courses, course tracks or even complete programs in this field, to further develop existing educational activities in the various nations and to support international initiatives concerning education in biomedical and health informatics (BMHI), particularly international activities in educating BMHI specialists and the sharing of courseware. Method: An IMIA task force, nominated in 2006, worked on updating the recommendations’ first version. These updates have been broadly discussed and refined by members of IMIA’s National Member Societies, IMIA’s Academic Institutional Members and by members of IMIA’s Working Group on Health and Medical Informatics Education. Results and Conclusions: The IMIA recommendations center on educational needs for health care professionals to acquire knowledge and skills in information processing and information and communication technology. The educational needs are described as a three-dimensional framework. The dimensions are: 1) professionals in health care (e.g. physicians, nurses, BMHI professionals), 2) type of specialization in BMHI (IT users, BMHI specialists), and 3) stage of career progression (bachelor, master, doctorate). Learning outcomes are defined in terms of knowledge and practical skills for health care professionals in their role a) as IT user and b) as BMHI specialist. Recommendations are given for courses /course tracks in BMHI as part of educational programs in medicine, nursing, health care management, dentistry, pharmacy, public health, health record administration, and informatics /computer science as well as for dedicated programs in BMHI (with bachelor, master or doctor degree).To support education in BMHI, IMIA offers to award a certificate for high-quality BMHI education. It supports information exchange on programs and courses in BMHI through its Working Group on Health and Medical Informatics Education.

1 October 1998 in International Journal of Medical Informatics
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Journal Article
Closed access
JAJos Aarts
Jos Aarts
VPVictor Peel
Victor Peel
GWGraham Wright
Graham Wright

24 February 2014 in Curationis
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Journal Article
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DODon O'Mahony
Don O'Mahony
GWGraham Wright
Graham Wright
PYParimalarani Yogeswaran
Parimalarani Yogeswaran
FGFrederick Govere
Frederick Govere
Background: Nurses in primary healthcare record data for the monitoring and evaluation of diseases and services. Information and communications technology (ICT) can improve quality in healthcare by providing quality medical records. However, worldwide, the majority of health ICT projects have failed. Individual user acceptance is a crucial factor in successful ICT implementation.Objectives: The aim of this study is to explore nurses’ knowledge, attitudes and perceptions regarding ICT so as to inform the future implementation of electronic medical record (EMR) systems.Methods: A qualitative design was used. Semi-structured interviews were undertaken with nurses at three community health centres (CHCs) in the King Sabata Dalyindyebo Local Municipality. The interview guide was informed by the literature on user acceptance of ICT. Interviews were recorded and analysed using content analysis.Results: Many nurses knew about health ICT and articulated clearly the potential benefits of an EMR such as fewer errors, more complete records, easier reporting and access to information. They thought that an EMR system would solve the challenges they identified with the current paper-based record system, including duplication of data, misfiling, lack of a chronological patient record, excessive time in recording and reduced time for patient care. For personal ICT needs, approximately half used cellphone Internet-based services and computers.Conclusions: In this study, nurses identified many challenges with the current recording methods. They thought that an EMR should be installed at CHCs. Their knowledge about EMR, positive attitudes to ICT and personal use of ICT devices increase the likelihood of successful EMR implementation at CHCs.

11 February 2015 in African Journal of Primary Health Care & Family Medicine
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OAOlukayode A. Adeleke
Olukayode A. Adeleke
PYParimalaranie Yogeswaran
Parimalaranie Yogeswaran
GWGraham Wright
Graham Wright
Background: In South Africa, studies on the prevalence of intestinal helminth co-infection amongst HIV-infected patients as well as possible interactions between these two infection sare limited.Aim: To investigate the prevalence of intestinal helminth infestation amongst adults living with HIV or AIDS at Mthatha General Hospital.Setting: Study participants were recruited at the outpatient department of Mthatha General Hospital, Mthatha, South Africa.Methods: This cross-sectional study was conducted between October and December 2013 amongst consecutive consenting HIV-positive adult patients. Socio-demographic and clinical information were obtained using data collection forms and structured interviews. Stool samples were collected to investigate the presence of helminths whilst blood samples were obtained for the measurement of CD4+ T-cell count and viral load.Results: Data were obtained on 231 participants, with a mean age of 34.9 years, a mean CD4 count of 348 cells/μL and a mean viral load of 4.8 log10 copies/mL. Intestinal helminth prevalence was 24.7%, with Ascaris Lumbricoides (42.1%) the most prevalent identified species. Statistically significant association was found between CD4 count of less than 200 cells/ μLand helminth infection (p = 0.05). No statistically significant association was found between intestinal helminth infection and the mean CD4 count (p = 0.79) or the mean viral load (p = 0.98).Conclusion: A high prevalence of intestinal helminth infections was observed amongst the study population. Therefore, screening and treatment of helminths should be considered as part of the management of HIV and AIDS in primary health care.

21 January 2017 in BMC Infectious Diseases
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Journal Article
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JIJoshua Oise IRUEDO
Joshua Oise IRUEDO
DODon O’mAhony
Don O’mAhony
SMSikhumbuzo A. Mabunda
Sikhumbuzo A. Mabunda
GWGraham Wright
Graham Wright
BCBusisiwe Cawe
Busisiwe Cawe
There are significant delays in initiation of multidrug-resistant tuberculosis (MDR –TB) treatment. The Xpert MTB/RIF test has been shown to reduce the time to diagnosis and treatment of MDR-TB predominantly in urban centres. This study describes the time to treatment of MDR-TB and the effect of Xpert MTB/RIF on time to treatment in a deprived rural area in South Africa. This was a retrospective cohort study analysing the medical records of patients diagnosed with MDR-TB in King Sabata Dalindyebo Sub-District between 2009 and 2014. Numerical data were reported using the Kruskal-Wallis and Wilcoxon sum rank tests and categorical data compared using the two-sample test of proportions. Of the 342 patients with MDR-TB identified, 285 were eligible for analysis, of whom 145 (61.4%) were HIV positive. The median time from sputum collection to MDR-TB diagnosis was 27 days (IQR: 2–45) and differed significantly between diagnostic modalities: Xpert MTB/RIF, 1 day (IQR: 1–4; n = 114: p < 0.0001); Line Probe Assay 12 days (IQR: 8–21; n = 28; p < 0.0001); and culture/phenotypic drug sensitivity testing 45 days (IQR: 39–59; n = 143: p < 0.0001). The time from diagnosis to treatment initiation was 14 days (IQR: 8–27) and did not differ significantly between diagnostic modality. The median time from sputum collection to treatment initiation was 49 days (IQR: 20–69) but differed significantly between diagnostic modalities: Xpert MTB/RIF, 18 days (IQR: 11–27; n = 114; p < 0.0001); Line Probe Assay 29 days (IQR: 14.5–53; n = 28; p < 0.0001); and culture/phenotypic drug sensitivity, 64 days (IQR: 50–103; n = 143: P < 0.0001). Age, sex and HIV status did not influence the time intervals. Xpert MTB/RIF significantly reduced the time to MDR-TB treatment in a deprived rural setting as a result of a reduced time to diagnosis. However, the national target of five days was not achieved. Further research is needed to explore and address programmatic and patient-related challenges contributing to delayed treatment initiation.