Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database

The Community Paramedicine at Clinic (CP@clinic) program is a community program that utilizes community paramedics to support older adults in assessing their risk factors, managing their chronic conditions, and linking them to community resources. The aim of this project is to design a low-cost, portable, secure, user-friendly database for CP@clinic sessions and pilot test the database with paramedics and older adult volunteers. The CP@clinic program database using the Microsoft Access software was first developed through consultation with the CP@clinic research team. Next, the database was pilot tested with two sets of older adults and one set of paramedics to assess user experience. Volunteers completed a survey regarding their perceptions of the level of difficulty when using the database. A computer-based database was the best option as it provided flexibility while reducing costs. The final database should perform calculations and summarize risk assessment data, provide recommended resources, generate automated reports, capture changes in medical and medication history, and ensure that the sensitive information is secure. During pilot testing, the older adult participants and the paramedics indicated that the database was easy to use. This low-cost, user-friendly and secure database captures initial and follow-up data, incorporates algorithms that guide the paramedics, and calculates risk factor scores for the participants. This solution to a healthcare database is translatable to other health research studies in which ongoing patient data is collected electronically and longitudinally.

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Publication Details

Journal
PLOS Digital Health
Published
2024-12-27
DOI
https://doi.org/10.1371/journal.pdig.0000689
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database

Francine Marzanek, Mikayla Plishka, Gina Agarwal, Krzysztof Adamczyk et al.
PLOS Digital Health
Mobile Health and mHealth Applications
article

Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database

Francine Marzanek, Mikayla Plishka, Gina Agarwal, Krzysztof Adamczyk, Melissa Pirrie, Ricardo N. Angeles
article en

Abstract

The Community Paramedicine at Clinic (CP@clinic) program is a community program that utilizes community paramedics to support older adults in assessing their risk factors, managing their chronic conditions, and linking them to community resources. The aim of this project is to design a low-cost, portable, secure, user-friendly database for CP@clinic sessions and pilot test the database with paramedics and older adult volunteers. The CP@clinic program database using the Microsoft Access software was first developed through consultation with the CP@clinic research team. Next, the database was pilot tested with two sets of older adults and one set of paramedics to assess user experience. Volunteers completed a survey regarding their perceptions of the level of difficulty when using the database. A computer-based database was the best option as it provided flexibility while reducing costs. The final database should perform calculations and summarize risk assessment data, provide recommended resources, generate automated reports, capture changes in medical and medication history, and ensure that the sensitive information is secure. During pilot testing, the older adult participants and the paramedics indicated that the database was easy to use. This low-cost, user-friendly and secure database captures initial and follow-up data, incorporates algorithms that guide the paramedics, and calculates risk factor scores for the participants. This solution to a healthcare database is translatable to other health research studies in which ongoing patient data is collected electronically and longitudinally.

PLOS Digital HealthVol. 3(12)
McMaster University (CA)
Partnerships for the goals
Openalex Percentile: Top 57%
Mobile Health and mHealth Applications
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