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      Information technology systems in public sector health facilities in developing countries: the case of South Africa

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          Abstract

          Background

          The public healthcare sector in developing countries faces many challenges including weak healthcare systems and under-resourced facilities that deliver poor outcomes relative to total healthcare expenditure. Global references demonstrate that information technology has the ability to assist in this regard through the automation of processes, thus reducing the inefficiencies of manually driven processes and lowering transaction costs. This study examines the impact of hospital information systems implementation on service delivery, user adoption and organisational culture within two hospital settings in South Africa.

          Methods

          Ninety-four interviews with doctors, nurses and hospital administrators were conducted in two public sector tertiary healthcare facilities (in two provinces) to record end-user perceptions. Structured questionnaires were used to conduct the interviews with both qualitative and quantitative information.

          Results

          Noteworthy differences were observed among the three sample groups of doctors, nurses and administrators as well as between our two hospital groups. The impact of automation in terms of cost and strategic value in public sector hospitals is shown to have yielded positive outcomes with regard to patient experience, hospital staff workflow enhancements, and overall morale in the workplace.

          Conclusion

          The research provides insight into the reasons for investing in system automation, the associated outcomes, and organisational factors that impact the successful adoption of IT systems. In addition, it finds that sustainable success in these initiatives is as much a function of the technology as it is of the change management function that must accompany the system implementation.

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          Most cited references7

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          Evaluating computerised health information systems: hard lessons still to be learnt.

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            Costs and benefits of health information technology: new trends from the literature.

            To understand what is new in health information technology (IT), we updated a systematic review of health IT with studies published during 2004-2007. From 4,683 titles, 179 met inclusion criteria. We identified a proliferation of patient-focused applications although little formal evaluation in this area; more descriptions of commercial electronic health records (EHRs) and health IT systems designed to run independently from EHRs; and proportionately fewer relevant studies from the health IT leaders. Accelerating the adoption of health IT will require greater public-private partnerships, new policies to address the misalignment of financial incentives, and a more robust evidence base regarding IT implementation.
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              The first-year growth response to growth hormone treatment predicts the long-term prepubertal growth response in children

              Background Pretreatment auxological variables, such as birth size and parental heights, are important predictors of the growth response to GH treatment. For children with missing pretreatment data, published prediction models cannot be used. The objective was to construct and validate a prediction model for children with missing background data based on the observed first-year growth response to GH. The accuracy and reliability of the model should be comparable with our previously published prediction model relying on pretreatment data. The design used was mathematical curve fitting on observed growth response data from children treated with a GH dose of 33 μg/kg/d. Methods Growth response data from 162 prepubertal children born at term were used to construct the model; the group comprised of 19% girls, 80% GH-deficient and 23% born SGA. For validation, data from 205 other children fulfilling the same inclusion and treatment criteria as the model group were used. The model was also tested on data from children born prematurely, children from other continents and children receiving a GH dose of 67 μg/kg/d. Results The GH response curve was similar for all children, but with an individual amplitude. The curve SD score depends on an individual factor combining the effect of dose and growth, the 'Response Score', and time on treatment, making prediction possible when the first-year growth response is known. The prediction interval (± 2 SDres) was ± 0.34 SDS for the second treatment year growth response, corresponding to ± 1.2 cm for a 3-year-old child and ± 1.8 cm for a 7-year-old child. For the 1–4-year prediction, the SDres was 0.13 SDS/year and for the 1–7-year prediction it was 0.57 SDS (i.e. < 0.1 SDS/year). Conclusion The model based on the observed first-year growth response on GH is valid worldwide for the prediction of up to 7 years of prepubertal growth in children with GHD/ISS, born AGA/SGA and born preterm/term, and can be used as an aid in medical decision making.
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                Author and article information

                Journal
                BMC Med Inform Decis Mak
                BMC Med Inform Decis Mak
                BMC Medical Informatics and Decision Making
                BioMed Central
                1472-6947
                2013
                24 January 2013
                : 13
                : 13
                Affiliations
                [1 ]Wits Business School, University of the Witwatersrand, PO Wits, Johannesburg, 2050, South Africa
                [2 ]Graduate School of Business, University of Cape Town, Breakwater Campus, Portswood Road, Green Point, Cape Town, 8005, South Africa
                Article
                1472-6947-13-13
                10.1186/1472-6947-13-13
                3570341
                23347433
                fb0325e8-cf5e-401e-ac5d-a518fe8403c2
                Copyright ©2013 Cline and Luiz; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 May 2012
                : 16 January 2013
                Categories
                Research Article

                Bioinformatics & Computational biology
                africa,electronic health records,hospital information systems,information management,south africa

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