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

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 Pakht...

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Autores principales: Mergenthaler, Christina, Mathewson, Jake D., Latif, Abdullah, Tahir, Hasan, Meurrens, Vincent, van Werle, Andreas, Rashid, Aamna, Tariq, Muhammad, Ahmed, Tanveer, Naureen, Farah, Rood, Ente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415978/
https://www.ncbi.nlm.nih.gov/pubmed/36006293
http://dx.doi.org/10.3390/tropicalmed7080201
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author Mergenthaler, Christina
Mathewson, Jake D.
Latif, Abdullah
Tahir, Hasan
Meurrens, Vincent
van Werle, Andreas
Rashid, Aamna
Tariq, Muhammad
Ahmed, Tanveer
Naureen, Farah
Rood, Ente
author_facet Mergenthaler, Christina
Mathewson, Jake D.
Latif, Abdullah
Tahir, Hasan
Meurrens, Vincent
van Werle, Andreas
Rashid, Aamna
Tariq, Muhammad
Ahmed, Tanveer
Naureen, Farah
Rood, Ente
author_sort Mergenthaler, Christina
collection PubMed
description 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.
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spelling pubmed-94159782022-08-27 Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan Mergenthaler, Christina Mathewson, Jake D. Latif, Abdullah Tahir, Hasan Meurrens, Vincent van Werle, Andreas Rashid, Aamna Tariq, Muhammad Ahmed, Tanveer Naureen, Farah Rood, Ente Trop Med Infect Dis Article 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. MDPI 2022-08-22 /pmc/articles/PMC9415978/ /pubmed/36006293 http://dx.doi.org/10.3390/tropicalmed7080201 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mergenthaler, Christina
Mathewson, Jake D.
Latif, Abdullah
Tahir, Hasan
Meurrens, Vincent
van Werle, Andreas
Rashid, Aamna
Tariq, Muhammad
Ahmed, Tanveer
Naureen, Farah
Rood, Ente
Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan
title Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan
title_full Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan
title_fullStr Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan
title_full_unstemmed Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan
title_short Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan
title_sort factors affecting the transition from paper to digital data collection for mobile tuberculosis active case finding in low internet access settings in pakistan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415978/
https://www.ncbi.nlm.nih.gov/pubmed/36006293
http://dx.doi.org/10.3390/tropicalmed7080201
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