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نتیجه جستجو - Haiti

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Seeing through the clouds: Processes and challenges for sharing geospatial data for disaster management in Haiti
دیدن از طریق ابرها: فرآیند و چالش برای به اشتراک گذاری جغرافیایی داده ها برای مدیریت بحران در هائیتی-2018
This article examines the ways in which the production and sharing of geospatial data for disaster management purposes have evolved in Haiti, within the context of the 2010 earthquake and 2016 Hurricane Matthew. The conditions for these developments are traced through the institutional and operational dynamics among key stakeholders at international, State and local levels. The article is presented as a case study and is based on reports, field observations and interviews with relevant stakeholders. Overall, the article finds that the in creasing recognition, use and value of data for disaster management activities since the earthquake, is con tributing to a number of interrelated economic, technical and legal processes and challenges for data sharing among stakeholders in the country. Economic findings are primarily centered around the impact which donor funding, project based work and “new market” dymnamics are having on data sharing. These issues feed into technical findings, where the increasing number of stakeholders and geospatial based projects has led to data access uncertainty and quality concerns among stakeholders. Lastly, legal findings are generally concerned with uncertainty regarding license conditions. Underlying each of these findings is the increasing value and im plication of open data. The article concludes with an analytical discussion which frames these main findings within broader developments taking place in the global disaster management sector.
Keywords: Geospatial data ، Disaster management ، Humanitarianism ، Haiti
مقاله انگلیسی
2 An assessment of data quality in a multi-site electronic medical record system in Haiti
ارزیابی کیفیت داده در سیستم مدارک پزشکی الکترونیکی چند سایتی در هائیتی-2016
Objectives: Strong data quality (DQ) is a precursor to strong data use. In resource limited settings, routine DQ assessment (DQA) within electronic medical record (EMR) systems can be resource-intensive using manual methods such as audit and chart review; automated queries offer an efficient alternative. This DQA focused on Haiti’s national EMR – iSanté – and included longitudinal data for over 100,000 persons living with HIV (PLHIV) enrolled in HIV care and treatment services at 95 health care facilities (HCF).
Methods: This mixed-methods evaluation used a qualitative Delphi process to identify DQ priorities among local stakeholders, followed by a quantitative DQA on these priority areas. The quantitative DQA examined 13 indicators of completeness, accuracy, and timeliness of retrospective data collected from 2005 to 2013. We described levels of DQ for each indicator over time, and examined the consistency of within-HCF performance and associations between DQ and HCF and EMR system characteristics.
Results: Over all iSanté data, age was incomplete in <1% of cases, while height, pregnancy status, TB status, and ART eligibility were more incomplete (approximately 20–40%). Suspicious data flags were present for <3% of cases of male sex, ART dispenses, CD4 values, and visit dates, but for 26% of cases of age. Discontinuation forms were available for about half of all patients without visits for 180 or more days, and >60% of encounter forms were entered late. For most indicators, DQ tended to improve over time. DQ was highly variable across HCF, and within HCFs DQ was variable across indicators. In adjusted analyses, HCF and system factors with generally favorable and statistically significant associations with DQ were University hospital category, private sector governance, presence of local iSante server, greater HCF experience with the EMR, greater maturity of the EMR itself, and having more system users but fewer new users. In qualitative feedback, local stakeholders emphasized lack of stable power supply as a key challenge to data quality and use of the iSanté EMR.
Conclusions: Variable performance on key DQ indicators across HCF suggests that excellent DQ is achievable in Haiti, but further effort is needed to systematize and routinize DQ approaches within HCFs. A dynamic, interactive “DQ dashboard” within iSanté could bring transparency and motivate improvement. While the results of the study are specific to Haiti’s iSanté data system, the study’s methods and thematic lessons learned holdgeneralized relevance for other large-scale EMR systems in resource-limited countries.
Keywords: Data quality assessment | Electronic medical record | Health information system | Haiti
مقاله انگلیسی
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