走向数字化:2018年阿富汗健康调查中电子数据收集的附加值。

IF 3.6 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Christina Mergenthaler, Rajpal Singh Yadav, Sohrab Safi, Ente Rood, Sandra Alba
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引用次数: 2

摘要

背景:通过在阿富汗进行的一项具有全国代表性的家庭调查,我们在两个相对安全的省份进行了一项操作性研究,比较了计算机辅助个人访谈(CAPI)和纸笔访谈(PAPI)的有效性。方法:在潘杰希尔省和帕尔万省,15个聚类采用纸质问卷方式收集住户调查数据,15个聚类采用电子平板电脑OpenDataKit (ODK)软件收集住户调查数据。从有效实施、数据质量和可接受性三个角度评估增加值。效率通过财务支出和时间戳数据来衡量。通过检查完整性来测量数据质量。通过与调查人员的焦点小组讨论来研究可接受性。结果:与PAPI集群相比,CAPI集群的调查成本要高出68%,这主要是由于调查规划的前期一次性投资。与PAPI(289分钟)相比,普查人员在CAPI集群家庭中管理调查的时间(248分钟)明显减少,平均每户节省41分钟(95% CI 25-55)。与PAPI相比,CAPI为数据管理节省了87天的时间。在49个示踪变量中(意味着所有被调查者都需要回答),在PAPI和CAPI之间观察到微小的差异。2.2%的清理数据集的示踪数据点在CAPI调查中丢失(1216/ 56,073数据点),而PAPI调查中丢失3.2%(1953/ 60,675数据点)。在预先清理的数据集中,CAPI调查中缺失3.9%的示踪数据点(2151/ 55,092个数点),而PAPI调查中缺失3.2%(1924/ 60,113个数点)。来自Panjsher和Parwan的普查员更喜欢CAPI而不是PAPI,因为CAPI节省了时间,用户友好,提高了数据安全性,并且在旅行时不那么显眼;然而,在所有34个省接受过培训的普查员中,约有一半报告说,由于塔利班的存在,他们感到不安全。社区和家庭受访者的怀疑可以通过枚举人员的保证来解决。点算员表示,今后他们会尽可能使用CAPI收集数据。结论:与PAPI相比,CAPI在数据收集和管理时间方面明显提高了效率,尽管即使没有编程投资,成本也相对可比。然而,实地工作人员对塔利班威胁和普遍不安全的严重关切意味着CAPI只能在相对安全的地区进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Going digital: added value of electronic data collection in 2018 Afghanistan Health Survey.

Going digital: added value of electronic data collection in 2018 Afghanistan Health Survey.

Going digital: added value of electronic data collection in 2018 Afghanistan Health Survey.

Going digital: added value of electronic data collection in 2018 Afghanistan Health Survey.

Background: Through a nationally representative household survey in Afghanistan, we conducted an operational study in two relatively secure provinces comparing effectiveness of computer-aided personal interviewing (CAPI) with paper-and-pencil interviewing (PAPI).

Methods: In Panjshir and Parwan provinces, household survey data were collected using paper questionnaires in 15 clusters, and OpenDataKit (ODK) software on electronic tablets in 15 other clusters. Added value was evaluated from three perspectives: efficient implementation, data quality, and acceptability. Efficiency was measured through financial expenditures and time stamped data. Data quality was measured by examining completeness. Acceptability was studied through focus group discussions with survey staff.

Results: Survey costs were 68% more expensive in CAPI clusters compared to PAPI clusters, due primarily to the upfront one-time investment for survey programming. Enumerators spent significantly less time administering surveys in CAPI cluster households (248 min survey time) compared to PAPI (289 min), for an average savings of 41 min per household (95% CI 25-55). CAPI offered a savings of 87 days for data management over PAPI. Among 49 tracer variables (meaning responses were required from all respondents), small differences were observed between PAPI and CAPI. 2.2% of the cleaned dataset's tracer data points were missing in CAPI surveys (1216/ 56,073 data points), compared to 3.2% in PAPI surveys (1953/ 60,675 data points). In pre-cleaned datasets, 3.9% of tracer data points were missing in CAPI surveys (2151/ 55,092 data points) compared to 3.2% in PAPI surveys (1924/ 60,113 data points). Enumerators from Panjsher and Parwan preferred CAPI over PAPI due to time savings, user-friendliness, improved data security, and less conspicuity when traveling; however approximately half of enumerators trained from all 34 provinces reported feeling unsafe due to Taliban presence. Community and household respondent skepticism could be resolved by enumerator reassurance. Enumerators shared that in the future, they prefer collecting data using CAPI when possible.

Conclusions: CAPI offers clear gains in efficiency over PAPI for data collection and management time, although costs are relatively comparable even without the programming investment. However, serious field staff concerns around Taliban threats and general insecurity mean that CAPI should only be conducted in relatively secure areas.

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来源期刊
Emerging Themes in Epidemiology
Emerging Themes in Epidemiology Medicine-Epidemiology
CiteScore
4.40
自引率
4.30%
发文量
9
审稿时长
28 weeks
期刊介绍: Emerging Themes in Epidemiology is an open access, peer-reviewed, online journal that aims to promote debate and discussion on practical and theoretical aspects of epidemiology. Combining statistical approaches with an understanding of the biology of disease, epidemiologists seek to elucidate the social, environmental and host factors related to adverse health outcomes. Although research findings from epidemiologic studies abound in traditional public health journals, little publication space is devoted to discussion of the practical and theoretical concepts that underpin them. Because of its immediate impact on public health, an openly accessible forum is needed in the field of epidemiology to foster such discussion.
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