Insights into COVID-19 Data Collection and Management in Malawi: Exploring Processes, Perceptions, and Data Discrepancies

Amelia Taylor, Thokozani Liwewe, Jim Todd, Chisomo Kankhwali, Anne Mwale, S. Kiwuwa-Muyingo
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Abstract

Background The completion of case-based surveillance forms was vital for case identification during COVID-19 surveillance in Malawi. Despite significant efforts, the resulting national data suffered from gaps and inconsistencies which affected its optimal usability. The objectives of this study were to investigate the processes of collecting and reporting COVID-19 data, to explore health workers’ perceptions and understanding of the collection tools and processes, and to identify factors contributing to data quality. Methods A total of 75 healthcare professionals directly involved in COVID-19 data collection from the Malawi Ministry of Health in Lilongwe and Blantyre participated in Focus Group Discussions and In-Depth Interviews. We collected participants’ views on the effectiveness of surveillance forms in collecting the intended data, as well as on the data collection processes and training needs. We used MAXQDA for thematic and document analysis. Results Form design significantly influenced data quality and, together with challenges in applying case definitions, formed 44% of all issues raised. Concerns regarding processes used in data collection and training gaps comprised 49% of all the issues raised. Language issues (2%) and privacy, ethical, and cultural considerations (4%), although mentioned less frequently, offered compelling evidence for further review. Conclusions Our study highlights the integral connection between data quality and the design and utilization of data collection forms. While the forms were deemed to contain the most relevant fields, deficiencies in format, order of fields, and the absence of an addendum with guidelines, resulted in large gaps and errors. Form design needs to be reviewed so that it appropriately fits into the overall processes and systems that capture surveillance data. This study is the first of its kind in Malawi, offering an in-depth view of the perceptions and experiences of health professionals involved in disease surveillance on the tools and processes they use.
对马拉维 COVID-19 数据收集和管理的见解:探索过程、观念和数据差异
背景 在马拉维进行 COVID-19 监测期间,填写病例监测表对病例识别至关重要。尽管做出了巨大努力,但由此产生的国家数据仍存在缺口和不一致,影响了其最佳可用性。本研究的目的是调查 COVID-19 数据的收集和报告过程,探讨医疗工作者对收集工具和过程的看法和理解,并找出影响数据质量的因素。方法 马拉维卫生部在利隆圭和布兰太尔共有 75 名直接参与 COVID-19 数据收集的医护人员参加了焦点小组讨论和深入访谈。我们收集了参与者对监测表格在收集预期数据方面的有效性以及数据收集流程和培训需求的看法。我们使用 MAXQDA 进行了专题和文件分析。结果 监测表格的设计对数据质量有很大影响,在提出的所有问题中,44% 的问题与病例定义应用方面的挑战有关。在提出的所有问题中,对数据收集过程和培训差距的担忧占 49%。语言问题(2%)和隐私、伦理及文化因素(4%)虽然提及的频率较低,但也为进一步审查提供了有力证据。结论 我们的研究强调了数据质量与数据收集表格的设计和使用之间不可分割的联系。虽然表格被认为包含了最相关的字段,但由于格式、字段顺序方面的缺陷,以及缺乏附录指南,导致了大量的空白和错误。需要对表格设计进行审查,使其与获取监测数据的整体流程和系统相匹配。这项研究在马拉维尚属首次,深入探讨了参与疾病监测的卫生专业人员对其使用的工具和流程的看法和经验。
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