Custom Python board game for hypertension pharmacotherapy with three difficulty levels¶

Design · All designs
Evidence · 1 claim (1 mixed) · 1 study (1 associational), q2 · 1 of 1 report an effect size · 1 claim rests on one study

Description¶

The GBL intervention was a board game format consisting of multiple-choice practical questions developed in Python 3.9, presenting questions randomly from a predefined question bank. Students could choose among three difficulty levels: Level 1 involved "the recollection of facts (Knowledge)", Level 2 "comprehending information (Comprehension)", and Level 3 "solving problems related to their clinical practice (Application & Analysis)". Questions and scenarios were standardized with input from three clinical pharmacy specialists.

Design Implications¶

Context¶

Requirements¶

Game design and standardization steps documented in Additional file 1; questions standardized with input from three clinical pharmacy specialists

Constraints¶

The game was designed for this specific course, so comparison with other GBL interventions requires caution

Target Learners¶

fourth-year PharmD students

Learning Goals¶

hypertension pharmacotherapy knowledge and clinical application

Claims¶

Multiple-choice single-select items are less difficult than open-ended response questions, and delayed perceived task difficulty ratings relate more strongly to relative item difficulty for open-ended items [~W]

PsychCare Quest: a purpose-designed 72-square spiral board game for psychiatric nursing internships

Examples¶

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Key Sources¶

Amini Mahtab, Amini Shahideh, Alizadeh Maryam. (2026). Flipped classroom showdown: game-based vs. case-based learning in pharmacy education. BMC Medical Education. https://doi.org/10.1186/s12909-026-09754-y

Page metadata

Field	Value
`type`	`design`
`id`	`python-board-game-hypertension-gbl`
`title`	`Custom Python board game for hypertension pharmacotherapy with three difficulty levels`
`description`	`The GBL intervention was a board game format consisting of multiple-choice practical questions developed in Python 3.9, presenting questions randomly from a predefined question bank.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-11-04`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `amini-mahtab-2026`

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