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      Can the use of digital algorithms improve quality care? An example from Afghanistan

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          Abstract

          Background

          Quality of care is a difficult parameter to measure. With the introduction of digital algorithms based on the Integrated Management of Childhood Illness (IMCI), we are interested to understand if the adherence to the guidelines improved for a better quality of care for children under 5 years old.

          Methods

          More than one year after the introduction of digital algorithms, we carried out two cross sectional studies to assess the improvements in comparison with the situation prior to the implementation of the project, in two Basic Health Centres in Kabul province. One survey was carried out inside the consultation room and was based on the direct observation of 181 consultations of children aged 2 months to 5 years old, using a checklist completed by a senior physicians. The second survey queried 181 caretakers of children outside the health facility for their opinion about the consultation carried out through the tablet and prescriptions and medications given.

          Results

          We measured the quality of care as adherence to the IMCI’s guidelines. The study evaluated the quality of the physical examination and the therapies prescribed with a special attention to antibiotic prescription. We noticed a dramatic improvement (p<0.05) of several indicators following the introduction of digital algorithms. The baseline physical examination was appropriate only for 23.8% [IC% 19.9–28.1] of the patients, 34.5% [IC% 30.0–39.2] received a correct treatment and 86.1% [IC% 82.4–89.2] received at least one antibiotic. With the introduction of digital algorithms, these indicators statistically improved respectively to 84.0% [IC% 77.9–88.6], >85% and less than 30%.

          Conclusions

          Our findings suggest that digital algorithms improve quality of care by applying the guidelines more effectively. Our experience should encourage to test this tool in different settings and to scale up its use at province/state level.

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          Most cited references33

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          Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

          Developers of health care software have attributed improvements in patient care to these applications. As with any health care intervention, such claims require confirmation in clinical trials. To review controlled trials assessing the effects of computerized clinical decision support systems (CDSSs) and to identify study characteristics predicting benefit. We updated our earlier reviews by searching the MEDLINE, EMBASE, Cochrane Library, Inspec, and ISI databases and consulting reference lists through September 2004. Authors of 64 primary studies confirmed data or provided additional information. We included randomized and nonrandomized controlled trials that evaluated the effect of a CDSS compared with care provided without a CDSS on practitioner performance or patient outcomes. Teams of 2 reviewers independently abstracted data on methods, setting, CDSS and patient characteristics, and outcomes. One hundred studies met our inclusion criteria. The number and methodologic quality of studies improved over time. The CDSS improved practitioner performance in 62 (64%) of the 97 studies assessing this outcome, including 4 (40%) of 10 diagnostic systems, 16 (76%) of 21 reminder systems, 23 (62%) of 37 disease management systems, and 19 (66%) of 29 drug-dosing or prescribing systems. Fifty-two trials assessed 1 or more patient outcomes, of which 7 trials (13%) reported improvements. Improved practitioner performance was associated with CDSSs that automatically prompted users compared with requiring users to activate the system (success in 73% of trials vs 47%; P = .02) and studies in which the authors also developed the CDSS software compared with studies in which the authors were not the developers (74% success vs 28%; respectively, P = .001). Many CDSSs improve practitioner performance. To date, the effects on patient outcomes remain understudied and, when studied, inconsistent.
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            Designing for usability: key principles and what designers think

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              Improving the quality of private sector delivery of public health services: challenges and strategies.

              R Brugha, A Zwi (1998)
              Despite significant successes in controlling a number of communicable diseases in low and middle income countries, important challenges remain, one being that a large proportion of patients with conditions of public health significance, such as tuberculosis, malaria, or sexually transmitted diseases, seek care in the largely unregulated 'for profit' private sector. Private providers (PPs) often offer services which are perceived by users to be more attractive. However, the available evidence suggests that serious deficiencies in technical quality are often present. Evaluations of interventions to promote evidence-based care in high income countries have shown that multi-faceted strategies which increase provider knowledge have had some success in improving service quality. A wider range of factors needs to be considered in low and middle income countries (LMICs), especially factors which contribute to discrepancies between provider knowledge and practice. Studies have shown that PPs, especially, perceive or experience patient and community pressures to provide inappropriate treatments. LMIC governments also lack the capacity to enforce regulatory controls. Context-specific multi-faceted strategies are needed, including the local adaptation and dissemination to providers of relevant evidence, the education of patients and communities to adopt effective treatment-seeking and treatment-taking behaviour, and feasible mechanisms for ensuring and monitoring service quality, which may include a role for self-regulation by provider organizations or provider accreditation. Developing, implementing and evaluating strategies to improve the quality of service provision will depend on the involvement of the key stakeholders, including policy makers and PPs. Focusing on studies from Asia, Africa and Latin America, this paper develops a model for identifying the influences on PPs, mainly private medical practitioners, in their management of conditions of public health significance. Based on this, multi-faceted strategies for improving the quality of treatment provision are suggested. Interventions need to be inexpensive, practical, efficient, effective and sustainable over the medium to long term. Achieving this is a significant challenge.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draft
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ResourcesRole: SupervisionRole: Validation
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 November 2018
                2018
                : 13
                : 11
                : e0207233
                Affiliations
                [1 ] Swiss TPH, Basel, Switzerland
                [2 ] University of Basel, Basel, Switzerland
                [3 ] PHC programs, International Committee of the Red Cross, Genève, Switzerland
                The University of Warwick, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1299-7114
                http://orcid.org/0000-0001-7761-7162
                Article
                PONE-D-18-17848
                10.1371/journal.pone.0207233
                6261034
                30475833
                3f00b6a5-ef67-4c1a-8d71-b2e304625f2b
                © 2018 Bernasconi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 June 2018
                : 27 October 2018
                Page count
                Figures: 0, Tables: 5, Pages: 12
                Funding
                The surveys were conducted in the framework of the project assessment of ICRC and SARC. No extraordinary funds were requested.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Health Information Technology
                Clinical Decision Support Systems
                Computer and Information Sciences
                Information Technology
                Health Information Technology
                Clinical Decision Support Systems
                Medicine and Health Sciences
                Health Care
                Quality of Care
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Antimicrobials
                Antibiotics
                Biology and Life Sciences
                Microbiology
                Microbial Control
                Antimicrobials
                Antibiotics
                Biology and Life Sciences
                Anatomy
                Neck
                Throat
                Medicine and Health Sciences
                Anatomy
                Neck
                Throat
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medicine and Health Sciences
                Pediatrics
                Child Health
                Medicine and Health Sciences
                Public and Occupational Health
                Child Health
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Treatment Guidelines
                Medicine and Health Sciences
                Gastroenterology and Hepatology
                Gastrointestinal Infections
                Custom metadata
                Data are held in a public repository (doi: 10.5061/dryad.h2hd82v).

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