Meeting the Black Swan : Teacher educators’ use of ICT—pre, during and eventually post Covid19

Peer reviewedPublisher PD

Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts

Objectives: The aim of this study is to demonstrate how an integrated information system of mother and toddler cohorts can be developed as a basis of the continuum of care approach that subsequently can be used as the basis of early detection of risk factors of maternal mortality. Methods: This research was carried out qualitatively. The data was collected through three techniques: in-depth interviews, focus group discussion, and document studies at six public health centers located in four sub-districts of Surabaya, Indonesia. This research was conducted from 2016 to 2018. Results: The data collected from this research has become a basis input data requirement analysis for an integrated mother and toddler cohort information system.The system accommodates all the variables in each period of pre-marriage, pregnancy, labor, infancy and toddlerhood. The system facilitates healthcare workers to retrieve data and information related to mother and toddler health status. Conclusions: The availability of various pieces of information enables the health status of mothers and toddlers to be monitored thoroughly throughout their long-life cycle. This continuum of care approach is beneficial in the early detection and management of risk factors of maternal mortality, such as pregnancy complications as well as childbirth and postpartum complications

PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems

The utility and effectiveness of routine health information systems (RHIS) in improving health system performance in developing countries has been questioned. This paper argues that the health system needs internal mechanisms to develop performance targets, track progress, and create and manage knowledge for continuous improvement. Based on documented RHIS weaknesses, we have developed the Performance of Routine Information System Management (PRISM) framework, an innovative approach to design, strengthen and evaluate RHIS. The PRISM framework offers a paradigm shift by putting emphasis on RHIS performance and incorporating the organizational, technical and behavioural determinants of performance. By describing causal pathways of these determinants, the PRISM framework encourages and guides the development of interventions for strengthening or reforming RHIS. Furthermore, it conceptualizes and proposes a methodology for measuring the impact of RHIS on health system performance. Ultimately, the PRISM framework, in spite of its challenges and competing paradigms, proposes a new agenda for building and sustaining information systems, for the promotion of an information culture, and for encouraging accountability in health systems

Evaluation of the Performance of Routine Information System Management (PRISM) framework: evidence from Uganda

<p>Abstract</p> <p>Background</p> <p>Sound policy, resource allocation and day-to-day management decisions in the health sector require timely information from routine health information systems (RHIS). In most low- and middle-income countries, the RHIS is viewed as being inadequate in providing quality data and continuous information that can be used to help improve health system performance. In addition, there is limited evidence on the effectiveness of RHIS strengthening interventions in improving data quality and use. The purpose of this study is to evaluate the usefulness of the newly developed Performance of Routine Information System Management (PRISM) framework, which consists of a conceptual framework and associated data collection and analysis tools to assess, design, strengthen and evaluate RHIS. The specific objectives of the study are: a) to assess the reliability and validity of the PRISM instruments and b) to assess the validity of the PRISM conceptual framework.</p> <p>Methods</p> <p>Facility- and worker-level data were collected from 110 health care facilities in twelve districts in Uganda in 2004 and 2007 using records reviews, structured interviews and self-administered questionnaires. The analysis procedures include Cronbach's alpha to assess internal consistency of selected instruments, test-retest analysis to assess the reliability and sensitivity of the instruments, and bivariate and multivariate statistical techniques to assess validity of the PRISM instruments and conceptual framework.</p> <p>Results</p> <p>Cronbach's alpha analysis suggests high reliability (0.7 or greater) for the indices measuring a promotion of a culture of information, RHIS tasks self-efficacy and motivation. The study results also suggest that a promotion of a culture of information influences RHIS tasks self-efficacy, RHIS tasks competence and motivation, and that self-efficacy and the presence of RHIS staff have a direct influence on the use of RHIS information, a key aspect of RHIS performance.</p> <p>Conclusions</p> <p>The study results provide some empirical support for the reliability and validity of the PRISM instruments and the validity of the PRISM conceptual framework, suggesting that the PRISM approach can be effectively used by RHIS policy makers and practitioners to assess the RHIS and evaluate RHIS strengthening interventions. However, additional studies with larger sample sizes are needed to further investigate the value of the PRISM instruments in exploring the linkages between RHIS data quality and use, and health systems performance.</p

How HIV/AIDS scale-up has impacted on non- HIV priority services in Zambia

Background: Much of the debate as to whether or not the scaling up of HIV service delivery in Africa benefits non-HIV priority services has focused on the use of nationally aggregated data. This paper analyses and presents routine health facility record data to show trend correlations across priority services. Methods: Review of district office and health facility client records for 39 health facilities in three districts of Zambia, covering four consecutive years (2004-07). Intra-facility analyses were conducted, service and coverage trends assessed and rank correlations between services measured to compare service trends within facilities. Results: VCT, ART and PMTCT client numbers and coverage levels increased rapidly. There were some strong positive correlations in trends within facilities between reproductive health services (family planning and antenatal care) and ART and PMTCT, with Spearman rank correlations ranging from 0.33 to 0.83. Childhood immunisation coverage also increased. Stock-outs of important drugs for non-HIV priority services were significantly more frequent than were stock-outs of antiretroviral drugs. Conclusions: The analysis shows scale-up in reproductive health service numbers in the same facilities where HIV services were scaling up. While district childhood immunisations increased overall, this did not necessarily occur in facility catchment areas where HIV service scale-up occurred. The paper demonstrates an approach for comparing correlation trends across different services, using routine health facility information. Larger samples and explanatory studies are needed to understand the client, facility and health systems factors that contribute to positive and negative synergies between priority services

Design and implementation of health information systems

x. 270 hlm.22 x 30 c

A study on the calibration of fingerprint classifiers

Fingerprint classification is a frequent approach to deal with very large scale databases in fingerprint recognition. In the last few years, several proposals based on Convolutional Neural Networks have pushed state of the art results even further. However, it has also been proven that such networks are prone to be overconfident in the predictions of the classes, which may have an impact on their performance. This paper aims to study the problem from a systematic point of view. First, it is determined that the most common network to classify fingerprints does suffer from badly calibrated predictions. Second, two calibration methods (temperature scaling and Dirichlet calibration) are applied to correct for this tendency. Third, a modified search strategy is proposed, which makes use of the calibrated class probabilities predicted by the classifier to further reduce the penetration rate and avoid the negative impact of impostor input fingerprints. Fourth, all the proposals are evaluated on five datasets, which combine synthetic and real fingerprints of different qualities. Dirichlet calibration led to improved predicted class probabilities, which in turn allowed for further reduction of the penetration, while maintaining a good trade-off with respect to the false rejection rate