This report presents findings from a card sorting study conducted to inform the redesign of Intensive Care Unit (ICU) Medication Management Plans (MMPs). The study, conducted as the second phase of a comprehensive ICU MMP review following an initial audit, evaluated information architecture preferences among ICU pharmacists using unmoderated closed card sorting methodology.
Key Findings:
Strong evidence supporting the hypothesis that generic pharmacy MMP templates are inadequate for ICU patients
Clear bifurcation emerged between Background Information and ICU-Specific MMP Structure categories
100% consensus on placement of core medication management elements (New, Ceased, Suspended medications, Medication Issues)
High agreement (75-88%) on ICU-specific elements requiring dedicated template sections
Preference for simplified formatting with minimal color usage and context-aware documentation
Primary Recommendation: Expand current generic pharmacy MMP templates to include dedicated ICU-specific therapeutic domain sections, moving beyond traditional home medication management to comprehensive ICU medication oversight.
2 Introduction
2.1 Background
Intensive Care Unit pharmacy practice requires specialized documentation approaches that differ significantly from general pharmacy services. The complexity of ICU patients, rapid medication changes, and critical nature of therapeutic decisions demand information architecture that supports efficient clinical decision-making.
2.2 Study Rationale
Following an initial audit of current ICU MMP practices, this card sorting study was designed to test the hypothesis that current generic pharmacy MMP templates are not suitable for ICU patients and that additional ICU-specific elements are required. The study aimed to identify intuitive information groupings and labeling patterns among ICU pharmacists to inform evidence-based template redesign.
2.3 Objectives
Evaluate the appropriateness of current generic MMP templates for ICU use
Identify distinct information categories required for ICU medication management
Determine consensus on placement of ICU-specific documentation elements
Gather preferences for formatting and workflow considerations
3 Methodology
3.1 Study Design
Unmoderated closed card sorting was conducted using the UXtweak platform between May 20, 2025, and June 19, 2025. This methodology allowed participants to categorize MMP-related items under headings of their choosing, revealing natural mental models of information organization.
New medications: 12.5% (recent therapeutic changes)
4.3 Identified Frustrations with Current Templates
4.4 Card Sorting Results: Information Architecture Analysis
The card sorting exercise revealed two dominant categories:
Background Information - Clinical context and patient history
MMP Structure - ICU-specific medication management elements
4.5 Consensus Analysis
5 Analysis and Discussion
5.1 Hypothesis Validation
The card sorting results provide compelling evidence supporting the hypothesis that current generic pharmacy MMP templates are inadequate for ICU patients. Key supporting evidence includes:
Generic vs. ICU-Specific Element Distinction: While participants showed 100% consensus on placement of generic pharmacy MMP elements (New, Ceased, Suspended medications, Medication Issues - which primarily relate to home medication decisions), they also demonstrated 75-88% consensus that additional ICU-specific elements are essential.
Critical ICU-Specific Additions Required: Elements unique to ICU practice (VTE prophylaxis, sedation/analgesia, antimicrobials, infusions, nutrition) showed high consensus (75-88%) for inclusion in the MMP structure, demonstrating that generic pharmacy templates are missing essential ICU therapeutic domains.
Template Expansion Necessity: The identification of multiple ICU-specific elements as essential components indicates that generic templates require substantial expansion beyond traditional home medication management to adequately serve ICU practice needs.
5.2 Information Architecture Implications
Background Information Category
Elements consistently placed in this category (HPI, clinical issues, past medical history) serve as clinical context establishment. These elements require: - Streamlined presentation format - Easy accessibility without overwhelming medication-focused workflow - Integration with existing clinical documentation systems
ICU-Specific MMP Structure Category
The high consensus on ICU-specific elements reveals unique documentation requirements:
Complete Consensus Elements (100%) - Generic Pharmacy MMP:
Implement consistent date formatting (50% accept either dd/mm or dd/mm/yyyy)
Develop context-aware ceased medication display
Use hyphen prefix for medication indications (75% preference)
Maintain plain text emphasis with minimal color coding
6 Limitations
Sample Size: While 8 completed responses provide valuable insights, larger samples would strengthen statistical confidence in consensus measurements.
Experience Distribution: 50% of participants had <1 year ICU experience, potentially limiting representation of expert workflow patterns.
Single Heath-care system: The findings reflect practices from a single health network. Results may not generalise to other Australian or international systems with different documentation models.
Methodology Constraints: Closed card sorting may have constrained discovery of additional relevant categories.
7 Recommendations
7.1 Immediate Actions
Develop ICU-Specific Template: Create specialized template with distinct Background Information and ICU-Specific MMP Structure sections.
Standardize ICU Therapeutic Domains: Implement dedicated sections for VTE prophylaxis, antimicrobials, sedation/analgesia, infusions, and nutrition.
Establish Formatting Standards: Develop consistent formatting guidelines based on participant preferences.
7.2 Implementation Strategy
Pilot Testing: Deploy prototype template with subset of ICU pharmacists for usability testing.
Training Development: Create training materials highlighting differences from generic templates.
System Integration: Collaborate with EMR or Pharmacy Informatics to implement ICU-specific template options.
7.3 Future Research
Usability Testing: Conduct task-based usability studies with prototype templates.
Outcome Measurement: Evaluate impact on documentation time, error rates, and clinical decision-making.
Longitudinal Validation: Assess template effectiveness over extended implementation periods.
8 Conclusion
This card sorting study provides compelling evidence that current generic pharmacy MMP templates are inadequate for ICU patients. The clear emergence of Background Information and ICU-Specific MMP Structure categories, combined with high consensus on ICU-specific therapeutic domains, validates the need for specialized template development.
The study’s findings support immediate implementation of ICU-specific MMP templates with dedicated sections for VTE prophylaxis, antimicrobials, sedation/analgesia, infusions, and nutrition support. These elements, showing 75-100% consensus for specialized categorization, represent fundamental requirements for effective ICU medication management documentation.
Moving forward, the development of evidence-based, ICU-specific templates should significantly improve pharmacist workflow efficiency, reduce documentation frustrations, and ultimately enhance patient safety through more intuitive and comprehensive medication management plans.
This report represents the second phase of a comprehensive ICU MMP review process, building upon initial audit findings to provide evidence-based recommendations for template redesign.
Source Code
---title: "Information Architecture Analysis of ICU Medication Management Plans"subtitle: "A Card Sorting Study Evaluating Template Design Requirements for Intensive Care Unit Pharmacy Practice"author: - name: "Rayan Nabizada" email: "rayan.nabizada@monashhealth.org" affiliation: "Monash Health Pharmacy"date: "June 15, 2025"date-format: "MMMM D, YYYY"format: html: theme: - journal - custom.scss mainfont: "Inter" monofont: "JetBrains Mono" fontsize: "17px" linestretch: 1.6 max-width: 1200px margin-left: auto margin-right: auto toc: true toc-location: left toc-depth: 2 toc-title: "Navigation" toc-expand: 2 number-sections: true number-depth: 3 code-fold: true code-summary: "Show Code" code-tools: source: true toggle: true caption: "Analysis Code" code-copy: hover code-overflow: wrap code-line-numbers: true highlight-style: atom-one fig-width: 12 fig-height: 8 fig-dpi: 300 fig-align: center fig-cap-location: bottom df-print: paged smooth-scroll: true link-external-newwindow: true link-external-icon: true reference-location: margin cap-location: margin anchor-sections: true citations-hover: true footnotes-hover: true crossref: fig-title: "Figure" tbl-title: "Table" fig-prefix: "Fig." tbl-prefix: "Table" css: | /* Modern Typography System */ @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap'); :root { /* Color System */ --primary-50: #eff6ff; --primary-100: #dbeafe; --primary-500: #3b82f6; --primary-600: #2563eb; --primary-700: #1d4ed8; --primary-900: #1e3a8a; --secondary-50: #fdf2f8; --secondary-100: #fce7f3; --secondary-500: #ec4899; --secondary-600: #db2777; --accent-50: #fff7ed; --accent-500: #f97316; --accent-600: #ea580c; --success-50: #f0fdf4; --success-500: #22c55e; --success-600: #16a34a; --warning-50: #fffbeb; --warning-500: #f59e0b; --gray-50: #f9fafb; --gray-100: #f3f4f6; --gray-200: #e5e7eb; --gray-300: #d1d5db; --gray-500: #6b7280; --gray-600: #4b5563; --gray-700: #374151; --gray-800: #1f2937; --gray-900: #111827; /* Spacing */ --space-xs: 0.5rem; --space-sm: 0.75rem; --space-md: 1rem; --space-lg: 1.5rem; --space-xl: 2rem; --space-2xl: 3rem; /* Border radius */ --radius-sm: 0.375rem; --radius-md: 0.5rem; --radius-lg: 0.75rem; --radius-xl: 1rem; /* Shadows */ --shadow-sm: 0 1px 2px 0 rgb(0 0 0 / 0.05); --shadow-md: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1); --shadow-lg: 0 10px 15px -3px rgb(0 0 0 / 0.1), 0 4px 6px -4px rgb(0 0 0 / 0.1); } /* Global Styles */ * { font-family: "Inter", -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif !important; } code, pre, .sourceCode { font-family: "JetBrains Mono", "SF Mono", "Monaco", "Inconsolata", monospace !important; } /* Header Styles */ .quarto-title-banner { background: linear-gradient(135deg, var(--primary-600) 0%, var(--primary-700) 50%, var(--secondary-600) 100%); color: white; padding: var(--space-2xl) 0; margin-bottom: var(--space-2xl); position: relative; overflow: hidden; } .quarto-title-banner::before { content: ''; position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: url("data:image/svg+xml,%3Csvg width='60' height='60' viewBox='0 0 60 60' xmlns='http://www.w3.org/2000/svg'%3E%3Cg fill='none' fill-rule='evenodd'%3E%3Cg fill='%23ffffff' fill-opacity='0.05'%3E%3Ccircle cx='30' cy='30' r='2'/%3E%3C/g%3E%3C/g%3E%3C/svg%3E") repeat; z-index: 1; } .quarto-title-block { position: relative; z-index: 2; } .quarto-title-block .quarto-title { font-weight: 700; font-size: 2.75rem; line-height: 1.1; margin-bottom: var(--space-sm); text-shadow: 0 2px 4px rgba(0,0,0,0.1); } .quarto-title-block .subtitle { font-size: 1.25rem; font-weight: 400; color: rgba(255,255,255,0.9); margin-bottom: var(--space-lg); line-height: 1.4; } .quarto-title-meta { color: rgba(255,255,255,0.8); font-size: 1rem; display: flex; flex-wrap: wrap; gap: var(--space-lg); align-items: center; } .quarto-title-meta-contents { display: flex; align-items: center; gap: var(--space-xs); } /* Body Styles */ body { color: var(--gray-800); background-color: var(--gray-50); line-height: 1.6; font-size: 17px; } .quarto-container { max-width: 1200px; margin: 0 auto; padding: 0 var(--space-lg); background-color: white; box-shadow: var(--shadow-lg); border-radius: var(--radius-lg); margin-top: -var(--space-xl); position: relative; z-index: 3; } /* Typography */ h1, h2, h3, h4, h5, h6 { font-weight: 600; color: var(--gray-900); margin-top: var(--space-2xl); margin-bottom: var(--space-lg); line-height: 1.3; } h1 { font-size: 2.5rem; font-weight: 700; } h2 { font-size: 2rem; padding-bottom: var(--space-sm); border-bottom: 2px solid var(--primary-100); position: relative; } h2::after { content: ''; position: absolute; bottom: -2px; left: 0; width: 60px; height: 2px; background: linear-gradient(90deg, var(--primary-500), var(--primary-600)); border-radius: var(--radius-sm); } h3 { font-size: 1.625rem; color: var(--gray-700); } h4 { font-size: 1.375rem; color: var(--gray-700); } p { margin-bottom: var(--space-lg); text-align: justify; hyphens: auto; color: var(--gray-700); font-size: 17px; } /* Enhanced Callouts */ .callout { border-radius: var(--radius-lg); margin: var(--space-xl) 0; padding: var(--space-lg); border-left: 4px solid; box-shadow: var(--shadow-md); position: relative; overflow: hidden; } .callout::before { content: ''; position: absolute; top: 0; left: 0; right: 0; bottom: 0; opacity: 0.05; z-index: 1; } .callout-content { position: relative; z-index: 2; } .callout-note { background-color: var(--primary-50); border-left-color: var(--primary-500); } .callout-tip { background-color: var(--success-50); border-left-color: var(--success-500); } .callout-important { background-color: var(--warning-50); border-left-color: var(--warning-500); } .callout-warning { background-color: var(--warning-50); border-left-color: var(--warning-500); } .callout-caution { background-color: var(--secondary-50); border-left-color: var(--secondary-500); } /* Simplified Sidebar Navigation */ .sidebar-navigation { background: white; border-right: 1px solid var(--gray-200); } .sidebar-navigation .sidebar-title { font-weight: 600; font-size: 1rem; color: var(--gray-800); padding: var(--space-lg); margin-bottom: 0; background: var(--gray-50); } .sidebar-navigation ul { list-style: none; padding: 0; margin: 0; } .sidebar-navigation li { margin: 0; padding: 0; } .sidebar-navigation a { display: block; padding: var(--space-md) var(--space-lg); color: var(--gray-600); text-decoration: none; font-size: 0.95rem; line-height: 1.4; transition: all 0.2s ease; } .sidebar-navigation a:hover { background: var(--primary-50); color: var(--primary-700); } .sidebar-navigation a.active { background: var(--primary-100); color: var(--primary-700); font-weight: 500; } /* Code Blocks */ pre { background: linear-gradient(135deg, var(--gray-50) 0%, var(--gray-100) 100%); border: 1px solid var(--gray-200); border-radius: var(--radius-lg); padding: var(--space-lg); overflow-x: auto; box-shadow: var(--shadow-sm); position: relative; font-size: 0.9rem; } code { background-color: var(--gray-100); padding: 0.2rem 0.4rem; border-radius: var(--radius-sm); font-size: 0.9em; color: var(--gray-800); border: 1px solid var(--gray-200); } /* Tables */ .table { background-color: white; border-radius: var(--radius-lg); overflow: hidden; box-shadow: var(--shadow-md); margin: var(--space-xl) 0; } table { width: 100%; border-collapse: collapse; } th { background: linear-gradient(135deg, var(--primary-500) 0%, var(--primary-600) 100%); color: white; padding: var(--space-lg); text-align: left; font-weight: 600; font-size: 0.95rem; } td { padding: var(--space-lg); border-bottom: 1px solid var(--gray-200); color: var(--gray-700); font-size: 0.95rem; } tr:hover { background-color: var(--gray-50); } /* Figures */ .quarto-figure { margin: var(--space-2xl) 0; text-align: center; background-color: white; border-radius: var(--radius-lg); padding: var(--space-lg); box-shadow: var(--shadow-md); border: 1px solid var(--gray-200); } .figure-caption { font-size: 0.9rem; color: var(--gray-600); font-style: italic; margin-top: var(--space-lg); padding-top: var(--space-sm); border-top: 1px solid var(--gray-200); } /* Blockquotes */ blockquote { border-left: 4px solid var(--primary-500); padding: var(--space-lg) var(--space-xl); margin: var(--space-xl) 0; font-style: italic; color: var(--gray-600); background: linear-gradient(135deg, var(--primary-50) 0%, white 100%); border-radius: 0 var(--radius-lg) var(--radius-lg) 0; box-shadow: var(--shadow-sm); position: relative; font-size: 1.05rem; } blockquote::before { content: '"'; position: absolute; top: -10px; left: var(--space-lg); font-size: 4rem; color: var(--primary-200); font-family: Georgia, serif; line-height: 1; } /* Lists */ ul, ol { padding-left: var(--space-xl); margin-bottom: var(--space-lg); } li { margin-bottom: var(--space-sm); color: var(--gray-700); font-size: 17px; } /* Links */ a { color: var(--primary-600); text-decoration: none; transition: all 0.2s ease; border-bottom: 1px solid transparent; } a:hover { color: var(--primary-700); border-bottom-color: var(--primary-300); } /* Responsive Design */ @media (max-width: 768px) { .quarto-title-block .quarto-title { font-size: 2rem; } .quarto-title-block .subtitle { font-size: 1.125rem; } .quarto-container { margin-top: 0; border-radius: 0; box-shadow: none; } h1 { font-size: 2rem; } h2 { font-size: 1.625rem; } h3 { font-size: 1.375rem; } body, p, li { font-size: 16px; } } /* Print Styles */ @media print { .quarto-title-banner { background: var(--gray-800) !important; -webkit-print-color-adjust: exact; } .sidebar-navigation { display: none; } .quarto-container { box-shadow: none; max-width: none; } }execute: echo: false warning: false message: false cache: true freeze: autokeywords: ["ICU", "pharmacy", "medication management", "information architecture", "card sorting", "healthcare informatics", "clinical documentation"]lang: en---```{r setup, include=FALSE}# Load required librarieslibrary(knitr)library(ggplot2)library(dplyr)library(reshape2)library(RColorBrewer)library(scales)library(stringr)# Set global optionsknitr::opts_chunk$set(echo = FALSE, warning = FALSE, message = FALSE)# Define consistent color palettestudy_colors <- list( primary = "#2E86AB", # Deep blue secondary = "#A23B72", # Deep pink accent = "#F18F01", # Orange success = "#48BB78", # Green warning = "#ED8936", # Orange-red neutral_light = "#F7FAFC", # Light gray neutral_medium = "#E2E8F0", # Medium gray neutral_dark = "#4A5568", # Dark gray text = "#2D3748" # Text color)# Create consistent themetheme_study <- function() { theme_minimal(base_size = 12, base_family = "Arial") + theme( # Plot appearance plot.title = element_text( size = 16, face = "bold", hjust = 0.5, color = study_colors$text, margin = margin(b = 10) ), plot.subtitle = element_text( size = 12, hjust = 0.5, color = study_colors$neutral_dark, margin = margin(b = 15) ), plot.caption = element_text( size = 10, color = study_colors$neutral_dark, hjust = 0 ), # Axes axis.title = element_text( size = 12, face = "bold", color = study_colors$text ), axis.text = element_text( size = 11, color = study_colors$neutral_dark ), axis.text.x = element_text(margin = margin(t = 5)), axis.text.y = element_text(margin = margin(r = 5)), # Grid and background panel.grid.major = element_line( color = study_colors$neutral_medium, size = 0.3 ), panel.grid.minor = element_blank(), panel.background = element_rect( fill = "white", color = NA ), plot.background = element_rect( fill = "white", color = NA ), # Legend legend.title = element_text( size = 11, face = "bold", color = study_colors$text ), legend.text = element_text( size = 10, color = study_colors$neutral_dark ), legend.background = element_rect( fill = "white", color = study_colors$neutral_medium ), legend.margin = margin(6, 6, 6, 6), # Strip (for facets) strip.text = element_text( size = 11, face = "bold", color = study_colors$text ), strip.background = element_rect( fill = study_colors$neutral_light, color = study_colors$neutral_medium ) )}# Consistent figure dimensionsfig_width <- 10fig_height <- 6```## Executive SummaryThis report presents findings from a card sorting study conducted to inform the redesign of Intensive Care Unit (ICU) Medication Management Plans (MMPs). The study, conducted as the second phase of a comprehensive ICU MMP review following an initial audit, evaluated information architecture preferences among ICU pharmacists using unmoderated closed card sorting methodology.**Key Findings:**- Strong evidence supporting the hypothesis that generic pharmacy MMP templates are inadequate for ICU patients- Clear bifurcation emerged between **Background Information** and **ICU-Specific MMP Structure** categories- 100% consensus on placement of core medication management elements (New, Ceased, Suspended medications, Medication Issues)- High agreement (75-88%) on ICU-specific elements requiring dedicated template sections- Preference for simplified formatting with minimal color usage and context-aware documentation**Primary Recommendation:** Expand current generic pharmacy MMP templates to include dedicated ICU-specific therapeutic domain sections, moving beyond traditional home medication management to comprehensive ICU medication oversight.## Introduction### BackgroundIntensive Care Unit pharmacy practice requires specialized documentation approaches that differ significantly from general pharmacy services. The complexity of ICU patients, rapid medication changes, and critical nature of therapeutic decisions demand information architecture that supports efficient clinical decision-making.### Study RationaleFollowing an initial audit of current ICU MMP practices, this card sorting study was designed to test the hypothesis that **current generic pharmacy MMP templates are not suitable for ICU patients and that additional ICU-specific elements are required**. The study aimed to identify intuitive information groupings and labeling patterns among ICU pharmacists to inform evidence-based template redesign.### Objectives1. Evaluate the appropriateness of current generic MMP templates for ICU use2. Identify distinct information categories required for ICU medication management3. Determine consensus on placement of ICU-specific documentation elements4. Gather preferences for formatting and workflow considerations## Methodology### Study DesignUnmoderated closed card sorting was conducted using the UXtweak platform between May 20, 2025, and June 19, 2025. This methodology allowed participants to categorize MMP-related items under headings of their choosing, revealing natural mental models of information organization.### Participants- **Total recruited:** 12 ICU pharmacists- **Completed:** 8 participants (67% completion rate)- **Site:** Monash Health, Multiple Sites- **Experience levels:** 50% (\<1 year), 25% (1-3 years), 25% (\>7 years)### Data CollectionParticipants completed: 1. Pre-study questionnaire (baseline experience and current MMP perceptions) 2. Card sorting exercise (MMP element categorization) 3. Post-study questionnaire (formatting preferences and workflow considerations)## Results### Participant Characteristics```{r participant-experience, fig.width=10, fig.height=6}# Create experience distribution dataexperience_data <- data.frame( Experience = factor(c("< 1 year", "1-3 years", "4-7 years", "> 7 years"), levels = c("< 1 year", "1-3 years", "4-7 years", "> 7 years")), Count = c(4, 2, 0, 2), Percentage = c(50, 25, 0, 25))# Create bar plot with consistent stylingggplot(experience_data, aes(x = Experience, y = Count)) + geom_col( fill = study_colors$primary, color = "white", width = 0.7, alpha = 0.9 ) + geom_text( aes(label = paste0(Count, "\n(", Percentage, "%)")), vjust = -0.3, size = 4, color = study_colors$text, fontface = "bold" ) + labs( title = "ICU Pharmacy Experience Distribution", subtitle = "Distribution of participant experience levels (n=8)", x = "Years of ICU Pharmacy Experience", y = "Number of Participants", caption = "Data collected May-June 2025" ) + theme_study() + scale_y_continuous( limits = c(0, 5), breaks = seq(0, 5, 1), expand = expansion(mult = c(0, 0.1)) )```### Current MMP Usage PatternsParticipants reported their typical first review item when accessing an ICU MMP:- **Medication issues:** 43.8% (primary focus on safety concerns)- **Reason for ICU admission:** 31.3% (clinical context establishment)- **Clinical issues:** 12.5% (ongoing clinical concerns)- **New medications:** 12.5% (recent therapeutic changes)### Identified Frustrations with Current Templates```{r frustrations, fig.width=10, fig.height=6}# Frustrations datafrustration_data <- data.frame( Frustration = c( "Poor structure / not ICU-relevant", "Too long or overly detailed", "Inconsistent formatting across pharmacists", "Important changes buried or hard to find" ), Percentage = c(30, 25, 20, 20))# Wrap text for better readabilityfrustration_data$Frustration <- str_wrap(frustration_data$Frustration, width = 25)# Create horizontal bar chartggplot(frustration_data, aes(x = Percentage, y = reorder(Frustration, Percentage))) + geom_col( fill = study_colors$secondary, width = 0.7, alpha = 0.9 ) + geom_text( aes(label = paste0(Percentage, "%")), hjust = -0.1, size = 4, color = study_colors$text, fontface = "bold" ) + labs( title = "Primary Frustrations with Current ICU MMP Templates", subtitle = "Percentage of participants citing each concern (n=8)", x = "Percentage of Participants (%)", y = NULL, caption = "Multiple responses possible" ) + theme_study() + theme( panel.grid.major.y = element_blank(), axis.text.y = element_text(size = 10) ) + scale_x_continuous( limits = c(0, 35), breaks = seq(0, 35, 5), expand = expansion(mult = c(0, 0.05)) )```### Card Sorting Results: Information Architecture AnalysisThe card sorting exercise revealed two dominant categories:1. **Background Information** - Clinical context and patient history2. **MMP Structure** - ICU-specific medication management elements```{r card-sorting-heatmap, fig.width=10, fig.height=8}# Create the results matrix datacards <- c( "Brief HPI / HOPC", "Current Clinical Issues", "Objective Data (if relevant)", "Past Medical History / Comorbidities", "New Medication", "Ceased Medication", "Suspended/Withheld Medication", "Altered Medication", "Medication Issues", "Unaltered Medication / Continued Unchanged", "VTE prophylaxis", "Antimicrobials", "Sedation / Analgesia", "Infusions (Pressors, Insulin, etc)", "Nutrition (TPN)", "Other if relevant e.g. ChemoTx")background_info <- c(6, 5, 2, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)mmp_structure <- c(2, 3, 5, 3, 8, 8, 8, 7, 8, 6, 7, 7, 6, 7, 6, 6)# Create matrixresults_matrix <- data.frame( Element = cards, Background_Information = background_info, MMP_Structure = mmp_structure)# Reshape for plottingresults_long <- melt(results_matrix, id.vars = "Element", variable.name = "Category", value.name = "Count")# Reorder elements by preference for MMP Structureelement_order <- results_matrix[order(-results_matrix$MMP_Structure, results_matrix$Background_Information), "Element"]# Create heatmapggplot(results_long, aes(x = Category, y = factor(Element, levels = rev(element_order)), fill = Count)) + geom_tile(color = "white", size = 0.8) + geom_text( aes(label = Count), color = "white", size = 4, fontface = "bold" ) + scale_fill_gradient2( low = study_colors$neutral_light, mid = study_colors$primary, high = study_colors$secondary, midpoint = 4, name = "Participants\n(n=8)", breaks = seq(0, 8, 2) ) + labs( title = "Card Sorting Results: Information Architecture Preferences", subtitle = "Participant placement of MMP elements across identified categories", x = "Category", y = "MMP Elements", caption = "Higher values indicate stronger consensus for category placement" ) + theme_study() + theme( axis.text.x = element_text(size = 12, face = "bold"), axis.text.y = element_text(size = 9), panel.grid = element_blank(), legend.position = "right" ) + scale_x_discrete(labels = c("Background\nInformation", "MMP\nStructure"))```### Consensus Analysis```{r consensus-analysis, fig.width=10, fig.height=6}# Create consensus analysis datageneric_elements <- data.frame( Element = c("New Medication", "Ceased Medication", "Suspended/Withheld Medication", "Medication Issues"), MMP_Structure_Percent = c(100, 100, 100, 100), Type = "Generic Pharmacy MMP")icu_elements <- data.frame( Element = c("Altered Medication", "VTE prophylaxis", "Antimicrobials", "Infusions", "Sedation/Analgesia", "Nutrition (TPN)", "Unaltered Medication", "Other (ChemoTx)"), MMP_Structure_Percent = c(88, 88, 88, 88, 75, 75, 75, 75), Type = "ICU-Specific Additions")consensus_data <- rbind(generic_elements, icu_elements)# Create consensus plotggplot(consensus_data, aes(x = reorder(Element, MMP_Structure_Percent), y = MMP_Structure_Percent, fill = Type)) + geom_col( color = "white", width = 0.8, alpha = 0.9 ) + geom_text( aes(label = paste0(MMP_Structure_Percent, "%")), hjust = -0.1, size = 4, color = study_colors$text, fontface = "bold" ) + coord_flip() + scale_fill_manual( values = c( "Generic Pharmacy MMP" = study_colors$primary, "ICU-Specific Additions" = study_colors$accent ), name = "Element Type" ) + labs( title = "Template Requirements: Generic MMP vs. ICU-Specific Additions", subtitle = "Consensus on element placement demonstrates need for expanded ICU templates", x = "MMP Element", y = "Percentage Agreement for MMP Structure Placement (%)", caption = "Percentages show agreement for placement in MMP Structure category" ) + theme_study() + theme( panel.grid.major.y = element_blank(), legend.position = "bottom", legend.box = "horizontal" ) + scale_y_continuous( limits = c(0, 110), breaks = seq(0, 100, 25), expand = expansion(mult = c(0, 0.05)) )```## Analysis and Discussion### Hypothesis ValidationThe card sorting results provide compelling evidence supporting the hypothesis that current generic pharmacy MMP templates are inadequate for ICU patients. Key supporting evidence includes:1. **Generic vs. ICU-Specific Element Distinction**: While participants showed 100% consensus on placement of generic pharmacy MMP elements (New, Ceased, Suspended medications, Medication Issues - which primarily relate to home medication decisions), they also demonstrated 75-88% consensus that additional ICU-specific elements are essential.2. **Critical ICU-Specific Additions Required:** Elements unique to ICU practice (VTE prophylaxis, sedation/analgesia, antimicrobials, infusions, nutrition) showed high consensus (75-88%) for inclusion in the MMP structure, demonstrating that generic pharmacy templates are missing essential ICU therapeutic domains.3. **Template Expansion Necessity:** The identification of multiple ICU-specific elements as essential components indicates that generic templates require substantial expansion beyond traditional home medication management to adequately serve ICU practice needs.### Information Architecture Implications#### Background Information CategoryElements consistently placed in this category (HPI, clinical issues, past medical history) serve as clinical context establishment. These elements require: - Streamlined presentation format - Easy accessibility without overwhelming medication-focused workflow - Integration with existing clinical documentation systems#### ICU-Specific MMP Structure CategoryThe high consensus on ICU-specific elements reveals unique documentation requirements:**Complete Consensus Elements (100%) - Generic Pharmacy MMP:**- New Medication (home medication decisions)- Ceased Medication (home medication decisions)- Suspended/Withheld Medication (home medication decisions)- Medication Issues (pharmacy recommendations)**High Consensus Elements (75–88%) - ICU-Specific Additions:**- VTE prophylaxis (88%)- Antimicrobials (88%)- Altered Medication (88%)- Infusions (88%)- Sedation/Analgesia (75%)- Nutrition (TPN) (75%)- Unaltered Medication (75%)- Other relevant therapies (75%)### Workflow Optimization Insights#### Current Workflow Pain PointsThe frustration analysis reveals critical design failures in current templates: - **30% cite poor structure/lack of ICU relevance** - directly supporting the need for specialized templates - **25% report excessive length/detail** - indicating need for focused, concise presentation - **20% note inconsistent formatting** - highlighting standardization requirements#### Preferred Documentation PatternsPost-study questionnaire results indicate preferences for: - **Manual documentation** (66.7%) over automated EMR verification - **Context-specific formatting** for ceased medications - **Minimal color usage** (37.5% prefer plain text) - **Time-based information management** (37.5% prefer removing changes \>48-72 hours)### Technical Implementation Considerations#### Template Structure RecommendationsBased on consensus analysis, the ICU MMP template should include:1. **Background Information Section** (streamlined): - Brief HPI/HOPC - Current clinical issues - Relevant past medical history2. **ICU-Specific MMP Structure** (detailed): - Core medication changes (new, ceased, suspended, altered) - Medication issues (safety concerns) - ICU-specific therapeutic domains: - VTE prophylaxis - Antimicrobials - Sedation/analgesia - Infusions - Nutrition support#### Formatting Specifications- Implement consistent date formatting (50% accept either dd/mm or dd/mm/yyyy)- Develop context-aware ceased medication display- Use hyphen prefix for medication indications (75% preference)- Maintain plain text emphasis with minimal color coding## Limitations1. **Sample Size:** While 8 completed responses provide valuable insights, larger samples would strengthen statistical confidence in consensus measurements.2. **Experience Distribution:** 50% of participants had \<1 year ICU experience, potentially limiting representation of expert workflow patterns.3. **Single Heath-care system:** The findings reflect practices from a single health network. Results may not generalise to other Australian or international systems with different documentation models.4. **Methodology Constraints:** Closed card sorting may have constrained discovery of additional relevant categories.## Recommendations### Immediate Actions1. **Develop ICU-Specific Template:** Create specialized template with distinct Background Information and ICU-Specific MMP Structure sections.2. **Standardize ICU Therapeutic Domains:** Implement dedicated sections for VTE prophylaxis, antimicrobials, sedation/analgesia, infusions, and nutrition.3. **Establish Formatting Standards:** Develop consistent formatting guidelines based on participant preferences.### Implementation Strategy1. **Pilot Testing:** Deploy prototype template with subset of ICU pharmacists for usability testing.2. **Training Development:** Create training materials highlighting differences from generic templates.3. **System Integration:** Collaborate with EMR or Pharmacy Informatics to implement ICU-specific template options.### Future Research1. **Usability Testing:** Conduct task-based usability studies with prototype templates.2. **Outcome Measurement:** Evaluate impact on documentation time, error rates, and clinical decision-making.3. **Longitudinal Validation:** Assess template effectiveness over extended implementation periods.## ConclusionThis card sorting study provides compelling evidence that current generic pharmacy MMP templates are inadequate for ICU patients. The clear emergence of Background Information and ICU-Specific MMP Structure categories, combined with high consensus on ICU-specific therapeutic domains, validates the need for specialized template development.The study's findings support immediate implementation of ICU-specific MMP templates with dedicated sections for VTE prophylaxis, antimicrobials, sedation/analgesia, infusions, and nutrition support. These elements, showing 75-100% consensus for specialized categorization, represent fundamental requirements for effective ICU medication management documentation.Moving forward, the development of evidence-based, ICU-specific templates should significantly improve pharmacist workflow efficiency, reduce documentation frustrations, and ultimately enhance patient safety through more intuitive and comprehensive medication management plans.------------------------------------------------------------------------*This report represents the second phase of a comprehensive ICU MMP review process, building upon initial audit findings to provide evidence-based recommendations for template redesign.*