| Title |
Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0049627 |
| Pubmed ID | |
| Authors |
Christine L. Heidebrecht, Susan Quach, Jennifer A. Pereira, Sherman D. Quan, Faron Kolbe, Michael Finkelstein, David L. Buckeridge, Jeffrey C. Kwong |
| Abstract |
Individual-level immunization data captured electronically can facilitate evidence-based decision-making and planning. Populating individual-level records through manual data entry is time-consuming. An alternative is to use scannable forms, completed at the point of vaccination and subsequently scanned and exported to a database or registry. To explore the suitability of this approach for collecting immunization data, we conducted a feasibility study in two settings in Ontario, Canada. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 56 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 26% |
| Nursing and Health Professions | 6 | 11% |
| Computer Science | 5 | 9% |
| Agricultural and Biological Sciences | 3 | 5% |
| Economics, Econometrics and Finance | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 14 | 25% |