Exploring the feasibility of integrating barcode scanning technology into vaccine inventory recording in seasonal influenza vaccination clinics

Pereira, Jennifer A.; Quach, Susan; Hamid, Jemila S.; Heidebrecht, Christine; Quan, Sherman; J, Nassif; Diniz, Amanda Jane; Exan, Robert Van; Malawski, Jeffrey; Gentry, Adrian; Finkelstein, Michael; Guay, Maryse; Buckeridge, David L.; Bettinger, Julie A.; Kalailieff, Donna; Kwong, Jeffrey C.

doi:10.1016/j.vaccine.2011.11.043

Cited by 21 publications

(36 citation statements)

References 12 publications

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“…Four studies investigated the facilitators and barriers for achieving high quality data and systems [22,40,59,65]. Three studies compared or developed methods for the improvement of data quality assessment or data exchange [54,56,72]. Finally two studies assessed data flow [30,70].…”

Section: Resultsmentioning

confidence: 99%

“…Data use, comparison of different PHIS, identification of the factors related to poor data quality, and analysis of data flow were also reported in research papers [22,26,27,52,54,56,59,61,65,70,71,72,73]. …”

Section: Resultsmentioning

confidence: 99%

“…Ten were in the maternal and children’s health setting, e.g., immunization, childbirth, maternal health and hand-foot-mouth disease [47,53,56,57,58,68,69,70,72,73]. Another five were delivered in the context of HIV/AIDS prevention and care [48,49,63,65,67].…”

Section: Resultsmentioning

confidence: 99%

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A Review of Data Quality Assessment Methods for Public Health Information Systems

Chen

Hailey

Ning³

et al. 2014

IJERPH

252

205

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High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data quality assessment methods. The relevant study was identified in major databases and well-known institutional websites. We found the dimension of data was most frequently assessed. Completeness, accuracy, and timeliness were the three most-used attributes among a total of 49 attributes of data quality. The major quantitative assessment methods were descriptive surveys and data audits, whereas the common qualitative assessment methods were interview and documentation review. The limitations of the reviewed studies included inattentiveness to data use and data collection process, inconsistency in the definition of attributes of data quality, failure to address data users’ concerns and a lack of systematic procedures in data quality assessment. This review study is limited by the coverage of the databases and the breadth of public health information systems. Further research could develop consistent data quality definitions and attributes. More research efforts should be given to assess the quality of data use and the quality of data collection process.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Data Quality Assessment Methods for Public Health Information Systems

Chen

Hailey

Ning³

et al. 2014

IJERPH

252

205

View full text Add to dashboard Cite

show abstract

“…Using smartphone cameras to scan the 2D bar codes on vaccine vials can permit the integration of lot number and global trade identification number with the AEFI report. 21,22 This would help to mitigate the challenge of improve the quality of the information received by public health officials and assist in identification of lot specific issues as well as assist individuals by automating the identification of the product, instead of requiring entry via drop down menu. This capability would also permit public health officials to send notifications about defective lots, with the app determining if the individual requires notification.…”

mentioning

confidence: 99%

An evaluation of the feasibility and usability of a proof of concept mobile app for adverse event reporting post influenza vaccination

Wilson

Atkinson

Westeinde

et al. 2016

Human Vaccines & Immunotherapeutics

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The Canadian National Vaccine Safety network (CANVAS) gathers and analyzes safety data on individuals receiving the influenza vaccine during the early stages of annual influenza vaccination campaigns with data collected via participant surveys through the Internet. We sought to examine whether it was feasible to use a mobile application (app) to facilitate AEFI reporting for the CANVAS network. To explore this, we developed a novel smartphone app, recruited participants from a hospital influenza immunization clinic and by word of mouth and instructed them to download and utilize the app. The app reminded participants to complete the CANVAS AEFI surveillance surveys ("AEFI surveys") on day 8 and 30, a survey capturing app usability metrics at day 30 ("usability survey") and provided a mechanism to report AEFI events spontaneously throughout the whole study period. All survey results and spontaneous reports were recorded on a privacy compliant, cloud server. A software plug-in, Lookback, was used to record the on-screen experience of the app sessions. Of the 76 participants who consented to participate, 48(63%) successfully downloaded the app and created a profile. In total, 38 unique participants completed all of the required surveillance surveys; transmitting 1104 data points (survey question responses and spontaneous reports) from 83 completed surveys, including 21 usability surveys and one spontaneous report. In total, we received information on new or worsening health conditions after receiving the influenza vaccine from 11(28%) participants. Of the usability survey responses, 86% agreed or strongly agreed that they would prefer to use a mobile app based reporting system instead of a web-based system. The single spontaneous report received was from a participant who had also reported using the Day 8 survey. Of Lookback observable sessions, an accurate transmission proportion of 100% (nD290) was reported for data points. We demonstrated that a mobile app can be used for AEFI reporting, although download and survey completion proportions suggest potential barriers to adoption. Future studies should examine implementation of mobile reporting in a broader audience and impact on the quality of reporting of adverse events following immunization.

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“…The latter can also permit the inclusion of the Global Trade Item Number (GTIN) and lot number of the vaccine administered, substantially improving the value and quality of the information contained within the vaccination record. [19][20][21] Apps can also assist individuals with the logistics of vaccination including scheduling appointments in their calendar, reminding them of boosters and overdue vaccinations and helping them locate immunization clinics. 22 By improving ease of reporting immunization status for individuals, apps can also improve the quality of information that resides in immunization information repositories.…”

Section: Benefits Of Mobile Apps For Vaccination Trackingmentioning

confidence: 99%

Apps for immunization: Leveraging mobile devices to place the individual at the center of care

Wilson

Atkinson

Westeinde

2015

Human Vaccines & Immunotherapeutics

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Mobile technology and applications (apps) have disrupted several industries including healthcare. The advantage of apps, being personally focused and permitting bidirectional communication, make them well suited to address many immunization challenges. As of April 25, 2015 searching the Android app store with the words ‘immunize app’ and ‘immunization app’ in Canada yielded 225 apps. On the Apple App Store a similar search produced 98 results. These include apps that provide immunization related information, permit vaccine tracking both for individuals and for animals, assist with the creation of customized schedules and identification of vaccine clinics and serve as sources of education. The diverse functionality of mobile apps creates the potential for transformation of immunization practice both at a personal level and a system level. For individuals, mobile apps offer the opportunity for better record keeping, assistance with the logistics of vaccination, and novel ways of communicating with and receiving information from public health officials. For the system, mobile apps offer the potential to improve the quality of information residing in immunization information systems and program evaluation, facilitate harmonization of immunization information between individuals, health care providers and public health as well as reduce vaccine hesitancy. As mobile technology continues to rapidly evolve there will emerge new ways in which apps can enhance immunization practice.

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Exploring the feasibility of integrating barcode scanning technology into vaccine inventory recording in seasonal influenza vaccination clinics

Cited by 21 publications

References 12 publications

A Review of Data Quality Assessment Methods for Public Health Information Systems

A Review of Data Quality Assessment Methods for Public Health Information Systems

An evaluation of the feasibility and usability of a proof of concept mobile app for adverse event reporting post influenza vaccination

Apps for immunization: Leveraging mobile devices to place the individual at the center of care

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