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      Implementation of a Newborn Clinical Decision Support Software (NoviGuide) in a Rural District Hospital in Eastern Uganda: Feasibility and Acceptability Study

      research-article
      , MBChB, MPH 1 , 2 , , , MD 3 , , DMCH 2 , , MPH 3 , , MArch 3 , , MBChB, DPhil 4 , , MPH, DPhil 5 , , MD, DPhil 6
      (Reviewer), (Reviewer), (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      clinical decision support, neonatology, neonatal mortality, mHealth, mobile phone

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          Abstract

          Background

          Lack of trained health care workers and nonadherence to national guidelines are key barriers to achieving high-quality newborn care in health care facilities in low- and middle-income countries. Traditional didactic approaches addressing these barriers fail to account for high staff turnover rates and result in temporary behavior change. NoviGuide, a clinical decision support software designed to standardize neonatal care through point-of-care assessments, has the potential to align bedside practice to national guidelines in settings lacking subspecialty neonatal providers.

          Objective

          This study aims to determine the adaptation, adoption, feasibility, acceptability, and sustainability of NoviGuide and its impact on nurse-midwives’ knowledge in a rural hospital in eastern Uganda.

          Methods

          This mixed methods observational study was guided by the Proctor framework. Experts reviewed the clinical content of NoviGuide to ensure fidelity to Uganda guidelines. We enrolled nurses and midwives providing newborn care at Tororo District Hospital, trained them on NoviGuide use, and followed them for 12 months. We assessed adoption, feasibility, acceptability, and sustainability by analyzing NoviGuide use data, comparing it with maternity registry data and administering the System Usability Scale (SUS) and the Center for Health Care Evaluation Provider Satisfaction Questionnaire. We compared the mean knowledge assessment score at baseline, 6 months, and 12 months using a two-tailed t test.

          Results

          Five Ugandan experts suggested two minor changes to NoviGuide: the inclusion of an unsterile birth environment as an indication for empiric antibiotics and the addition of a reminder to follow-up with newborns with temperatures between 37.7°C and 37.9°C. Of the 19 nurse-midwives enrolled in February 2017, 74% (n=14) completed the follow-up in March 2018. The participants entered a total of 1705 assessments of varying newborn characteristics into NoviGuide throughout the day, evening, and night nursing shifts. The SUS score at the end of the study was very high (93.5, above the average of 68). Participants had a positive perception about NoviGuide, reporting that NoviGuide saved time (mean 5, SD 0) and prevented mistakes (mean 5, SD 0), and that they felt more confident in taking care of newborns when they used NoviGuide (mean 5, SD 0). Participants were highly satisfied with NoviGuide (mean 4.86, SD 0.36), although they lacked medical supplies and materials needed to follow NoviGuide recommendations (mean 3.3, SD 1.22). The participants’ knowledge scores improved by a mean change of 3.7 (95% CI 2.6-4.8) at 6 months and 6.7 (95% CI 4.6-8.2) at 12 months ( P<.001).

          Conclusions

          NoviGuide was easily adapted to the Uganda guidelines. Nurse-midwives used NoviGuide frequently and reported high levels of satisfaction despite challenges with medical supplies and high staff turnover. NoviGuide improved knowledge and confidence in newborn care without in-person didactic training. NoviGuide use has the potential to scale up quality newborn care by facilitating adherence to national guidelines.

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          Most cited references34

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          Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda

          An unresolved issue in the field of implementation research is how to conceptualize and evaluate successful implementation. This paper advances the concept of “implementation outcomes” distinct from service system and clinical treatment outcomes. This paper proposes a heuristic, working “taxonomy” of eight conceptually distinct implementation outcomes—acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability—along with their nominal definitions. We propose a two-pronged agenda for research on implementation outcomes. Conceptualizing and measuring implementation outcomes will advance understanding of implementation processes, enhance efficiency in implementation research, and pave the way for studies of the comparative effectiveness of implementation strategies.
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            • Record: found
            • Abstract: not found
            • Article: not found

            The role of deliberate practice in the acquisition of expert performance.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Effect of clinical decision-support systems: a systematic review.

              Despite increasing emphasis on the role of clinical decision-support systems (CDSSs) for improving care and reducing costs, evidence to support widespread use is lacking. To evaluate the effect of CDSSs on clinical outcomes, health care processes, workload and efficiency, patient satisfaction, cost, and provider use and implementation. MEDLINE, CINAHL, PsycINFO, and Web of Science through January 2011. Investigators independently screened reports to identify randomized trials published in English of electronic CDSSs that were implemented in clinical settings; used by providers to aid decision making at the point of care; and reported clinical, health care process, workload, relationship-centered, economic, or provider use outcomes. Investigators extracted data about study design, participant characteristics, interventions, outcomes, and quality. 148 randomized, controlled trials were included. A total of 128 (86%) assessed health care process measures, 29 (20%) assessed clinical outcomes, and 22 (15%) measured costs. Both commercially and locally developed CDSSs improved health care process measures related to performing preventive services (n= 25; odds ratio [OR], 1.42 [95% CI, 1.27 to 1.58]), ordering clinical studies (n= 20; OR, 1.72 [CI, 1.47 to 2.00]), and prescribing therapies (n= 46; OR, 1.57 [CI, 1.35 to 1.82]). Few studies measured potential unintended consequences or adverse effects. Studies were heterogeneous in interventions, populations, settings, and outcomes. Publication bias and selective reporting cannot be excluded. Both commercially and locally developed CDSSs are effective at improving health care process measures across diverse settings, but evidence for clinical, economic, workload, and efficiency outcomes remains sparse. This review expands knowledge in the field by demonstrating the benefits of CDSSs outside of experienced academic centers. Agency for Healthcare Research and Quality.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                February 2021
                19 February 2021
                : 9
                : 2
                : e23737
                Affiliations
                [1 ] UCSF Preterm Birth Initiative University of California San Francisco School of Medicine San Francisco, CA United States
                [2 ] Infectious Diseases Research Collaboration Kampala Uganda
                [3 ] Global Strategies Albany, CA United States
                [4 ] School of Medicine Makerere University College of Health Sciences Kampala Uganda
                [5 ] Institute for Collaboration on Health, Intervention and Policy University of Connecticut Storrs, CT United States
                [6 ] Department of Pediatrics University of California, San Francisco San Francisco, CA United States
                Author notes
                Corresponding Author: Mary Muhindo marymkakuru@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-5328-0523
                https://orcid.org/0000-0003-0535-0475
                https://orcid.org/0000-0002-9120-0539
                https://orcid.org/0000-0001-6678-5291
                https://orcid.org/0000-0002-1703-5459
                https://orcid.org/0000-0001-9106-4234
                https://orcid.org/0000-0002-7772-4555
                https://orcid.org/0000-0002-1105-9126
                Article
                v9i2e23737
                10.2196/23737
                7935651
                33605886
                d5b02f8e-cd54-4bb0-af0d-19cc6f8f0ac2
                ©Mary Muhindo, Joshua Bress, Rogers Kalanda, Jean Armas, Elon Danziger, Moses R Kamya, Lisa M Butler, Theodore Ruel. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 19.02.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 21 August 2020
                : 6 October 2020
                : 22 November 2020
                : 4 January 2021
                Categories
                Original Paper
                Original Paper

                clinical decision support,neonatology,neonatal mortality,mhealth,mobile phone

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