Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups

Medication reconciliation, the process of documenting a patient's medication, is currently a time-consuming and labor-intensive process. To make medication reconciliation more efficient, digital assistants (DAs) offer a promising solution. Especially since human-like digital interfaces tend to be appreciated by more vulnerable populations such as patients in a low socioeconomic position (SEP). Despite the potential of DAs for low-SEP populations in particular, these groups are often not involved during the development and design phase of such digital health interventions. This exclusion may explain the lower adoption rates of digital interventions among low-SEP patients and exacerbate the so-called digital divide. We explored the perceptions and needs of patients across the SEP gradient using a participatory design approach. Patients of low-, middle-, and high-SEP backgrounds were asked to interact with a DA developed for this study and were interviewed afterward. A thematic analysis revealed seven themes regarding design, input method, comprehensibility, privacy concerns, benefits, the intention to use, and reassurance. Overall, patients were afraid to make mistakes in their medication entries and therefore valued feedback from the system or caregivers. Low-SEP patients specifically seemed to value more structured input methods when using the DA, while high-SEP patients emphasized the importance of a secure environment for the DA and sought clarity about its functionalities. Our study demonstrates the importance of involving patients across the socioeconomic gradient when developing a digital health tool and offers concrete recommendations for inclusive DA design for researchers and developers.

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Publication Details

Journal
Cyberpsychology Behavior and Social Networking
Published
2024-08-30
DOI
https://doi.org/10.1089/cyber.2023.0626
Citations
2
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
0.69
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article

Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups

Nadine Bol, Mart P. Kicken, Barbara Maat, Jan de Wit et al.
2 citations
Cyberpsychology Behavior and Social Networking
Pharmaceutical Practices and Patient Outcomes
0.69
article

Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups

Nadine Bol, Mart P. Kicken, Barbara Maat, Jan de Wit, Chris van der Lee, Ayla Dijkmans, Kim Tenfelde
article en
2 citations

Abstract

Medication reconciliation, the process of documenting a patient's medication, is currently a time-consuming and labor-intensive process. To make medication reconciliation more efficient, digital assistants (DAs) offer a promising solution. Especially since human-like digital interfaces tend to be appreciated by more vulnerable populations such as patients in a low socioeconomic position (SEP). Despite the potential of DAs for low-SEP populations in particular, these groups are often not involved during the development and design phase of such digital health interventions. This exclusion may explain the lower adoption rates of digital interventions among low-SEP patients and exacerbate the so-called digital divide. We explored the perceptions and needs of patients across the SEP gradient using a participatory design approach. Patients of low-, middle-, and high-SEP backgrounds were asked to interact with a DA developed for this study and were interviewed afterward. A thematic analysis revealed seven themes regarding design, input method, comprehensibility, privacy concerns, benefits, the intention to use, and reassurance. Overall, patients were afraid to make mistakes in their medication entries and therefore valued feedback from the system or caregivers. Low-SEP patients specifically seemed to value more structured input methods when using the DA, while high-SEP patients emphasized the importance of a secure environment for the DA and sought clarity about its functionalities. Our study demonstrates the importance of involving patients across the socioeconomic gradient when developing a digital health tool and offers concrete recommendations for inclusive DA design for researchers and developers.

Cyberpsychology Behavior and Social NetworkingVol. 27(12)
Radboud University Nijmegen (NL), Tilburg University (NL), Catharina Ziekenhuis (NL), Elisabeth-TweeSteden Ziekenhuis (NL)
Reduced inequalities
Openalex Percentile: Top 30%
Pharmaceutical Practices and Patient Outcomes
0.69
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