%0 Journal Article %J PLoS One %D 2019 %T Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria. %A Bhattacharya, Antoinette Alas %A Umar, Nasir %A Audu, Ahmed %A Felix, Habila %A Allen, Elizabeth %A Schellenberg, Joanna R M %A Marchant, Tanya %K Adolescent %K Adult %K Female %K Guidelines as Topic %K Health information systems %K Humans %K Infant Health %K Infant, Newborn %K Maternal Health %K Middle Aged %K Nigeria %K Pregnancy %K Quality Indicators, Health Care %K Young Adult %X

INTRODUCTION: Routine health information systems are critical for monitoring service delivery. District Heath Information System, version 2 (DHIS2) is an open source software platform used in more than 60 countries, on which global initiatives increasingly rely for such monitoring. We used facility-reported data in DHIS2 for Gombe State, north-eastern Nigeria, to present a case study of data quality to monitor priority maternal and neonatal health indicators.

METHODS: For all health facilities in DHIS2 offering antenatal and postnatal care services (n = 497) and labor and delivery services (n = 486), we assessed the quality of data for July 2016-June 2017 according to the World Health Organization data quality review guidance. Using data from DHIS2 as well as external facility-level and population-level household surveys, we reviewed three data quality dimensions-completeness and timeliness, internal consistency, and external consistency-and considered the opportunities for improvement.

RESULTS: Of 14 priority maternal and neonatal health indicators that could be tracked through facility-based data, 12 were included in Gombe's DHIS2. During July 2016-June 2017, facility-reported data in DHIS2 were incomplete at least 40% of the time, under-reported 10%-60% of the events documented in facility registers, and showed inconsistencies over time, between related indicators, and with an external data source. The best quality data elements were those that aligned with Gombe's health program priorities, particularly older health programs, and those that reflected contact indicators rather than indicators related to the provision of commodities or content of care.

CONCLUSION: This case study from Gombe State, Nigeria, demonstrates the high potential for effective monitoring of maternal and neonatal health using DHIS2. However, coordinated action at multiple levels of the health system is needed to maximize reporting of existing data; rationalize data flow; routinize data quality review, feedback, and supervision; and ensure ongoing maintenance of DHIS2.

%B PLoS One %V 14 %P e0211265 %8 2019 %G eng %N 1 %R 10.1371/journal.pone.0211265 %0 Journal Article %J Sci Rep %D 2017 %T QuPath: Open source software for digital pathology image analysis. %A Bankhead, Peter %A Loughrey, Maurice B %A Fernández, José A %A Dombrowski, Yvonne %A McArt, Darragh G %A Dunne, Philip D %A McQuaid, Stephen %A Gray, Ronan T %A Murray, Liam J %A Coleman, Helen G %A James, Jacqueline A %A Salto-Tellez, Manuel %A Hamilton, Peter W %K Algorithms %K Biomarkers, Tumor %K Colonic Neoplasms %K Humans %K Image Interpretation, Computer-Assisted %K Kaplan-Meier Estimate %K Programmed Cell Death 1 Ligand 2 Protein %K User-Computer Interface %X

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath's flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

%B Sci Rep %V 7 %P 16878 %8 2017 12 04 %G eng %N 1 %R 10.1038/s41598-017-17204-5 %0 Journal Article %J PLoS Comput Biol %D 2012 %T A quick guide to software licensing for the scientist-programmer. %A Morin, Andrew %A Urban, Jennifer %A Sliz, Piotr %B PLoS Comput Biol %V 8 %P e1002598 %8 2012 %G eng %N 7 %R 10.1371/journal.pcbi.1002598 %0 Journal Article %J Empirical Software Engineering and Measurement, International Symposium on %D 2011 %T A Qualitative Study of Open Source Software Development: The Open EMR Project %A John Noll %A Sarah Beecham %A Dominik Seichter %X Open Source software is competing successfully in many areas. The commercial sector is recognizing the benefits offered by Open Source development methods that lead to high quality software. Can these benefits be realized in specialized domains where expertise is rare? This study examined discussion forums of an Open Source project in a particular specialized application domain -- electronic medical records -- to see how development roles are carried out, and by whom. We found through a qualitative analysis that the core developers in this system include doctors and clinicians who also use the product. We also found that the size of the community associated with the project is an order of magnitude smaller than predicted, yet still maintains a high degree of responsiveness to issues raised by users. The implication is that a few experts and a small core of dedicated programmers can achieve success using an Open Source approach in a specialized domain. %B Empirical Software Engineering and Measurement, International Symposium on %I IEEE Computer Society %C Los Alamitos, CA, USA %P 30-39 %@ 978-0-7695-4604-9 %R http://doi.ieeecomputersociety.org/10.1109/ESEM.2011.11