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影响巴基斯坦低互联网接入地区移动结核病主动病例发现从纸质数据收集向数字数据收集转变的因素

Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan.

作者信息

Mergenthaler Christina, Mathewson Jake D, Latif Abdullah, Tahir Hasan, Meurrens Vincent, van Werle Andreas, Rashid Aamna, Tariq Muhammad, Ahmed Tanveer, Naureen Farah, Rood Ente

机构信息

KIT Royal Tropical Institute Center for Applied Spatial Epidemiology, 1092 AD Amsterdam, The Netherlands.

National Tuberculosis Program of Pakistan, (Common Management Unit-HIV, TB, Malaria, Ministry of NHSR&C, Government of Pakistan), F-Block, EPI Building, Prime Minister's Health Complex, Chak Shahzad, Islamabad 44000, Pakistan.

出版信息

Trop Med Infect Dis. 2022 Aug 22;7(8):201. doi: 10.3390/tropicalmed7080201.

Abstract

Between September 2020 and March 2021, Mercy Corps piloted hybrid digital (CAPI) and paper-based (PAPI) data collection as part of its tuberculosis (TB) active case finding strategy. Data were collected using CAPI and PAPI at 140 TB chest camps in low Internet access areas of Punjab and Khyber Pakhtunkhwa provinces in Pakistan. PAPI data collection was performed primarily during the camp and entered using a tailor-performed CAPI tool after camps. To assess the feasibility of this hybrid approach, quality of digital records were measured against the paper "gold standard", and user acceptance was evaluated through focus group discussions. Completeness of digital data varied by indicator, van screening team, and month of implementation: chest camp attendees and pulmonary TB cases showed the highest CAPI/PAPI completeness ratios (1.01 and 0.96 respectively), and among them, all forms of TB diagnosis and treatment initiation were lowest (0.63 and 0.64 respectively). Vans entering CAPI data with high levels of completeness generally did so for all indicators, and significant differences in mean indicator completeness rates between PAPI and CAPI were observed between vans. User feedback suggested that although the CAPI tool required practice to gain proficiency, the technology was appreciated and will be better perceived once double entry in CAPI and PAPI can transition to CAPI only. CAPI data collection enables data to be entered in a more timely fashion in low-Internet-access settings, which will enable more rapid, evidence-based program steering. The current system in which double data entry is conducted to ensure data quality is an added burden for staff with many activities. Transitioning to a fully digital data collection system for TB case finding in low-Internet-access settings requires substantial investments in M&E support, shifts in data reporting accountability, and technology to link records of patients who pass through separate data collection stages during chest camp events.

摘要

2020年9月至2021年3月期间,美慈组织开展了混合数字(计算机辅助个人访谈,CAPI)和纸质(纸质个人访谈,PAPI)数据收集试点,作为其结核病主动病例发现策略的一部分。在巴基斯坦旁遮普省和开伯尔-普赫图赫瓦省互联网接入率较低地区的140个结核病胸部筛查营地,使用CAPI和PAPI收集数据。PAPI数据收集主要在营地期间进行,并在营地结束后使用专门定制的CAPI工具录入。为评估这种混合方法的可行性,对照纸质“金标准”衡量数字记录的质量,并通过焦点小组讨论评估用户接受度。数字数据的完整性因指标、筛查车团队和实施月份而异:胸部筛查营地参与者和肺结核病例的CAPI/PAPI完整性比率最高(分别为1.01和0.96),其中,所有形式的结核病诊断和治疗启动率最低(分别为0.63和0.64)。录入CAPI数据完整性较高的筛查车通常在所有指标上都是如此,不同筛查车之间观察到PAPI和CAPI平均指标完整性率存在显著差异。用户反馈表明,虽然CAPI工具需要练习才能熟练掌握,但该技术受到赞赏,一旦CAPI和PAPI的双重录入能够转变为仅使用CAPI,将会得到更好的认可。CAPI数据收集能够在低互联网接入环境中更及时地录入数据,这将有助于更迅速地进行基于证据的项目指导。当前为确保数据质量而进行双重数据录入的系统给承担多项活动的工作人员增加了负担。在低互联网接入环境中转向用于结核病病例发现的全数字数据收集系统,需要在监测与评价支持方面进行大量投资,改变数据报告责任,并采用技术来链接在胸部筛查营地活动中经过不同数据收集阶段的患者记录。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1af/9415978/89affe5f72f5/tropicalmed-07-00201-g001.jpg

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